From 7f290b7945480c61c0517d139405ce7991601316 Mon Sep 17 00:00:00 2001 From: Asif Ashraf Date: Fri, 26 Jun 2026 08:42:48 -0700 Subject: [PATCH 01/15] week-1_dev --- .DS_Store | Bin 6148 -> 6148 bytes tutorials/.DS_Store | Bin 6148 -> 6148 bytes tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb | 2189 + tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb | 633 + tutorials/MVP1-SAGE/event_catalog.xml | 602 + tutorials/MVP1-SAGE/event_selection.json | 8 + tutorials/MVP1-SAGE/station_dataframe.csv | 17 + tutorials/MVP1-SAGE/station_inventory.xml | 52000 ++++++++++++++++++++ 8 files changed, 55449 insertions(+) create mode 100644 tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb create mode 100644 tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb create mode 100644 tutorials/MVP1-SAGE/event_catalog.xml create mode 100644 tutorials/MVP1-SAGE/event_selection.json create mode 100644 tutorials/MVP1-SAGE/station_dataframe.csv create mode 100644 tutorials/MVP1-SAGE/station_inventory.xml diff --git a/.DS_Store b/.DS_Store index 3223ae17ff05d11b8b6d095ad1dd953147b0ea98..ac61dc16d8dbfc2e84580cebfcda2f95eb0a260e 100644 GIT binary patch delta 339 zcmZoMXfc=|#>B)qu~2NHo}wrV0|Nsi1A_nqLlHwJLn1>CLvd31#*51t>p?P{3?&Su zK%9>(TU?Nolb-~X-H}v~lUZD1U~r9*iJ66!jh%y?gPS8ZI3vG2xFoTpwAd-JC>q2I z$CJ*u~2NHo}wrd0|Nsi1A_nqLoq`JLq0OFn`1;)FarQ3suUyu diff --git a/tutorials/.DS_Store b/tutorials/.DS_Store index da32fbcc93428a36621d16da073a654cc8da497f..7fc39b52d3e7741f82fc744dafe97cee35b973db 100644 GIT binary patch delta 171 zcmZoMXfc=|#>B)qu~2NHo+2aj#(>?7jLegHSS;l^8GISS7y=j!8FU$f85|kh8C;Xf ziwlx+@{<@C7U}m*0&Cd&(6us z%kP>j%PKG44b+9j%*lG}H#aMA{9)eA&cV+CbjoHyj_=Hq`9&N#fEpMW85meLM~JLp F1^`@ZCS?Es delta 693 zcmZ8fPj3=I6n}34yVO<|3aF{Z>Ryb+x)`N4#t3*YjRy!c2GT0-E(5MzW|rM8SP7wr zUNsU9et=$0jN#aeet`NFJop8?7%wL60NX!tCNJ+d^WN|G-elgcva5WI3;yYTGu~gi zj)AZFeca3Y1Plyjgq25rV0>HPteQ;MOr`;V#4XEh>2SO_0yxRj+K%Pr?GLI#^VWQ) zb31wOfs$CbtE_Yr3!P*##ShD=RJR)xWAdGch03PcpzQtNpKz`B;jEaUw>&XC&@9t% zTt)dQNhtXIfpb%0aQghr?1hjNj?9Il;aDsdzj*0#Wd2G;n$uK$vu?93T7AMyW@pVU zQjtQ=Yt~-X8O__IWsr8sC2!rL@s5Wg9-(*4D3I#QQ<1f8izh`-FUG1*Z9?dJ-8QPZ zTFoJD=?pH9%IP*U%{+4q*I=}~F)r_t#wx8bUUJkz&KiZB=frlnuSmWBNTsrB+bXS- z?Dh*&)rgs+S?0Q|Q8M^DM!k<~7A;jbXkC8%d;A*^l+!mSNCJ5R0L17q@;u7l^qnzY zql^+x%J(KAIsMGb5n&NBP=pO=!VY|bJ@^9O;RpPJKX8b%7{?p9hzY!p%b3Ot7H}P3 zp^9%Nd;vY3tDg59Ivkt~O{-{AlhHbW0N8IH45!49$cJ*6@%{A;LeY%KWrPuRSc-o3 F9RYp7wIu)m diff --git a/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb new file mode 100644 index 0000000..4c2aff2 --- /dev/null +++ b/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb @@ -0,0 +1,2189 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a557bb55", + "metadata": {}, + "source": [ + "# **Notebook 1** - Discovering & Retrieving Seismic Data\n", + "\n", + "### MVP1 goals: Data discovery, dataset selection, data retrieval, data store" + ] + }, + { + "cell_type": "markdown", + "id": "cdaf97c7", + "metadata": {}, + "source": [ + "This is the first notebook in the GeoLab seismic learning pathway. By the end you will be able to start with only a map of stations and time-window and walk away with seismic waveforms that your science needs. The data will be streamed from the cloud. There is no need to download on your local workstation anymore.\n", + "\n", + "##### **Traditional way**\n", + "\n", + "Point an FTP client or web form --> pull gigabytes of data onto local disk --> figure out what is needed\n", + "\n", + "##### **GeoLab way**\n", + "Discover what exists --> scope it to your science question --> stream only the bytes you need\n", + "\n", + "All inside the same cloud, where data lives\n", + "\n", + "Instead of asking \"what files should I download?\", a cloud-optimized workflow allows for the user a better sequence of questions:\n", + "\n", + "1. What event or time-window matters for my science question?\n", + "2. Which stations nad channels were operating then?\n", + "3. Which of those stations actually have waveform data?\n", + "4. How much data will this request stream?\n", + "\n", + "When using cloud platform, such as **GeoLab**, it is possible for users to iterate through these steps multiple times with much better time efficiency than using a local workstation. The reason is, in **GeoLab** you are computing near data.\n", + "\n", + "Assumed background\n", + "\n", + "This notebook assumes basic familiarity with Python, pandas, plotting, and ObsPy. You do not need to know cloud computing in advance, but you are expected to go through the notebooks in the `Cloud Foundations` offered by EarthScope.\n", + "\n", + "---" + ] + }, + { + "cell_type": "markdown", + "id": "2e7e6669", + "metadata": {}, + "source": [ + "## **1. Data discovery**" + ] + }, + { + "cell_type": "markdown", + "id": "0627e817", + "metadata": {}, + "source": [ + "Cloud workflows begin with discovery, not downloads.\n", + "\n", + "In this section, we use ObsPy to ask small metadata questions before requesting waveform data:\n", + "\n", + "1. Which earthquakes match our region, time range, and magnitude threshold?\n", + "2. Which seismic stations were operating near the event time?\n", + "3. Which station/channel combinations are likely to have usable waveform data?\n", + "\n", + "This matters because metadata queries are lightweight. They let us narrow the problem before moving waveform data across the network." + ] + }, + { + "cell_type": "markdown", + "id": "4df99149", + "metadata": {}, + "source": [ + "#### **1.1 Connect to EarthScope FDSN web service**" + ] + }, + { + "cell_type": "markdown", + "id": "9d470c70", + "metadata": {}, + "source": [ + "Opening a `Client` only means setting up the connection to EarthScope." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "e4ab2746", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FDSN Webservice Client (base url: https://service.earthscope.org)\n", + "Available Services: 'dataselect' (v1.1.64), 'station' (v1.1.53)\n", + "\n", + "Use e.g. client.help('dataselect') for the\n", + "parameter description of the individual services\n", + "or client.help() for parameter description of\n", + "all webservices.\n" + ] + } + ], + "source": [ + "# Create an FDSN client for EarthScope services.\n", + "# This client will be used for station metadata and waveform requests.\n", + "from obspy.clients.fdsn import Client\n", + "client = Client(\"https://service.earthscope.org\") # previously \"IRIS\"\n", + "print(client)" + ] + }, + { + "cell_type": "markdown", + "id": "41445c90", + "metadata": {}, + "source": [ + "#### **1.2 Build an event catalog**" + ] + }, + { + "cell_type": "markdown", + "id": "f83e5896", + "metadata": {}, + "source": [ + "\n", + "We query earthquake **catalogs** from the USGS event service, while **waveforms** come from EarthScope. We point the `event` service at USGS in the next cell, and everything else keeps using EarthScope under the hood.\n", + "\n", + "At this stage, we are not moving waveform data yet. We are only retrieving event metadata: origin time, location, depth, and magnitude. This is the “cheap query” stage of the workflow.\n", + "\n", + "> ✏️ Set parameters to search for earthquakes. First, a geographic bounding box, which is just four numbers: the min/max latitude and min/max longitude. We default to a box over West Washington, USA. You can make it bigger, smaller, or move it somewhere else entirely. Then, set your preferred time range and minimum magnitude." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "57ae43c5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "10 Event(s) in Catalog:\n", + "2023-12-24T15:14:04.220000Z | +47.820, -122.960 | 4.04 ml | manual\n", + "2023-10-09T02:21:08.960000Z | +48.040, -122.731 | 4.31 ml | manual\n", + "2018-11-19T11:09:13.130000Z | +47.711, -123.554 | 4.08 ml | manual\n", + "2017-02-23T04:59:04.050000Z | +47.480, -123.035 | 4.09 ml | manual\n", + "2009-01-30T13:25:03.760000Z | +47.786, -122.585 | 4.67 ml | manual\n", + "2003-04-25T10:02:12.710000Z | +47.670, -123.250 | 4.8 md | manual\n", + "2002-09-21T00:55:20.960000Z | +48.485, -123.126 | 4.1 md | manual\n", + "2001-07-22T15:13:52.430000Z | +47.088, -122.687 | 4.3 md | manual\n", + "2001-06-10T13:19:11.290000Z | +47.167, -123.502 | 5.0 md | manual\n", + "2001-02-28T18:54:32.830000Z | +47.149, -122.727 | 6.8 md | manual\n" + ] + } + ], + "source": [ + "# ---- USER INPUTS -----\n", + "# Geographic bounding box for the region of interest (Default is the west Washington region)\n", + "min_lat, max_lat = 46, 48.5 # south / north edges\n", + "min_lon, max_lon = -125.5, -122.5 # west / east \n", + "stime = \"2000-01-01\" # start date\n", + "etime = \"2025-12-31\" # end date\n", + "minmagnitude = 4 # minimum magnitude of events to retrieve\n", + "# ----------------------\n", + "\n", + "# Re-create the client with the EVENT service pointed at USGS.\n", + "# Only the 'event' endpoint is overridden; station/waveform calls still go to EarthScope by default \n", + "from obspy import UTCDateTime\n", + "client = Client(service_mappings={\"event\": \"https://earthquake.usgs.gov/fdsnws/event/1\"})\n", + "ev_catalog = client.get_events(minlatitude=min_lat, maxlatitude=max_lat, \n", + " minlongitude=min_lon, maxlongitude=max_lon,\n", + " starttime=UTCDateTime(stime), endtime=UTCDateTime(etime), \n", + " minmagnitude=minmagnitude)\n", + "print(ev_catalog)" + ] + }, + { + "cell_type": "markdown", + "id": "8d072280", + "metadata": {}, + "source": [ + "#### **1.3 Visualize events**" + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "9e848c28", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " event_time latitude longitude magnitude\n", + "0 2023-12-24T15:14:04.220000Z 47.819667 -122.960000 4.04\n", + "1 2023-10-09T02:21:08.960000Z 48.040167 -122.730833 4.31\n", + "2 2018-11-19T11:09:13.130000Z 47.711333 -123.554167 4.08\n", + "3 2017-02-23T04:59:04.050000Z 47.480167 -123.035000 4.09\n", + "4 2009-01-30T13:25:03.760000Z 47.786500 -122.584667 4.67\n", + "5 2003-04-25T10:02:12.710000Z 47.670500 -123.250000 4.80\n", + "6 2002-09-21T00:55:20.960000Z 48.484833 -123.126500 4.10\n", + "7 2001-07-22T15:13:52.430000Z 47.087833 -122.686833 4.30\n", + "8 2001-06-10T13:19:11.290000Z 47.167500 -123.502500 5.00\n", + "9 2001-02-28T18:54:32.830000Z 47.149000 -122.726667 6.80\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cfeature\n", + "\n", + "# Unpack location + magnitude from every event in the catalog.\n", + "evlats, evlons, evmags, evtime = [], [], [], []\n", + "for ev in ev_catalog:\n", + " origin = ev.preferred_origin() or ev.origins[0]\n", + " mag = ev.preferred_magnitude() or (ev.magnitudes[0] if ev.magnitudes else None)\n", + " depth_km = (origin.depth or 0) / 1000.0 \n", + " time = ev.origins[0].time\n", + " evlats.append(origin.latitude); evlons.append(origin.longitude); \n", + " evmags.append(mag.mag if mag else None)\n", + " evtime.append(time)\n", + "\n", + "# Create a Pandas DataFrame for the events, which will be useful for further analysis.\n", + "import pandas as pd\n", + "df_events = pd.DataFrame({\n", + " \"event_time\": evtime,\n", + " \"latitude\": evlats,\n", + " \"longitude\": evlons,\n", + " \"magnitude\": evmags\n", + "})\n", + "print(df_events)\n", + "\n", + "fig = plt.figure(figsize=(6, 6))\n", + "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n", + "ax.set_extent([min_lon, max_lon, min_lat, max_lat], crs=ccrs.PlateCarree())\n", + "\n", + "# Basemap context. The first time this runs, cartopy downloads the coastline /\n", + "# land shapefiles (a few seconds), then caches them for next time.\n", + "ax.add_feature(cfeature.LAND, facecolor=\"#f3f0ea\")\n", + "ax.add_feature(cfeature.OCEAN, facecolor=\"#dcebf2\")\n", + "ax.add_feature(cfeature.COASTLINE, linewidth=0.6)\n", + "ax.add_feature(cfeature.STATES, linestyle=\":\", linewidth=0.4)\n", + "gl = ax.gridlines(draw_labels=True, linewidth=0.3, color=\"gray\", alpha=0.5)\n", + "gl.top_labels = gl.right_labels = False\n", + "\n", + "# Marker size grows with magnitude so big events stand out\n", + "sizes = [(m ** 2) * 12 for m in evmags]\n", + "sc = ax.scatter(evlons, evlats, s=sizes, c=evmags, cmap=\"hot_r\",\n", + " marker=\"*\", edgecolors=\"black\", linewidths=0.6,\n", + " vmin=4, vmax=8, transform=ccrs.PlateCarree(), zorder=5)\n", + "plt.colorbar(sc, ax=ax, shrink=0.6, label=\"magnitude\")\n", + "\n", + "ax.set_title(f\"{len(ev_catalog)} event(s) in search box\")\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c33b6e33", + "metadata": {}, + "source": [ + "#### **1.4 Select preferred event & define parameters to make a station inventory**" + ] + }, + { + "cell_type": "markdown", + "id": "a92bdbe0", + "metadata": {}, + "source": [ + "A station inventory is more than a list of stations. It tells us which networks, stations, locations, and channels existed during the event window.\n", + "\n", + "> ✏️ Select your earthquake from the catalog above, and copy its origin time. You will also need channel codes for your interested channels.\n", + "\n", + "Channel codes follow the SEED convention. First letter = band; second = instrument\n", + "- `HN?` — strong-motion accelerometer (great for big, nearby quakes — what we use here)\n", + "- `BH?` / `HH?` — broadband seismometer (3 components: Z/N/E)\n", + "- `EH?` — short-period\n", + "\n", + "The `?` is a single-character wildcard, so `HN?` grabs all three components (HNZ/HNN/HNE)." + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "dd45d8d0", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Inventory created at 2026-06-26T05:18:00.468800Z\n", + "\tCreated by: IRIS WEB SERVICE: fdsnws-station | version: 1.1.52\n", + "\t\t http://service.iris.edu/fdsnws/station/1/query?starttime=2018-11-...\n", + "\tSending institution: IRIS-DMC (IRIS-DMC)\n", + "\tContains:\n", + "\t\tNetworks (5):\n", + "\t\t\tCN, NP, OW, US, UW\n", + "\t\tStations (46):\n", + "\t\t\tCN.VGZ (Victoria Gonzales, BC, CA)\n", + "\t\t\tNP.2130 (American Lake VAMC)\n", + "\t\t\tNP.2158 (Wynoochee Dam)\n", + "\t\t\tNP.2193 (Gig Harbor Fire Station)\n", + "\t\t\tNP.2194 (Shelton Fire Station)\n", + "\t\t\tNP.7007 (Toutle River Dam)\n", + "\t\t\tNP.7015 (DNR Building)\n", + "\t\t\tNP.7028 (La Push Coast Guard Sta)\n", + "\t\t\tNP.7029 (Fort Worden State Park)\n", + "\t\t\tNP.7035 (Fire Station)\n", + "\t\t\tNP.7038 (Tumwater Fire Station HQ)\n", + "\t\t\tNP.7039 (Quinault Ranger Station)\n", + "\t\t\tNP.7040 (Museum)\n", + "\t\t\tNP.7041 (Fire Station)\n", + "\t\t\tNP.7045 (Fire Station)\n", + "\t\t\tNP.7046 (Camp Murray)\n", + "\t\t\tNP.7051 (New Fire Station 1)\n", + "\t\t\tNP.7054 (Centennial Park)\n", + "\t\t\tNP.7060 (Naval Base Kitsap Bangor)\n", + "\t\t\tOW.AL2H ( Albert Head is a community located in Metchosin, on the south coast of Vancouver Island.)\n", + "\t\t\tUS.NLWA (Neilton Lookout, Washington, USA)\n", + "\t\t\tUW.BILS (Queets, WA, USA)\n", + "\t\t\tUW.BLN (Blyn Mt., WA, USA)\n", + "\t\t\tUW.CORE (Aberdeen, WA, USA)\n", + "\t\t\tUW.ERW (Mt. Erie, WA, USA)\n", + "\t\t\tUW.HURR (Hurricane Ridge, WA, USA)\n", + "\t\t\tUW.LWCK (Lewis and Clark Interpretive Center, WA, USA)\n", + "\t\t\tUW.MAC (Tacoma, WA, USA)\n", + "\t\t\tUW.MKAH (Makah Indian Reservation, WA, USA)\n", + "\t\t\tUW.MNWA (Manchester, WA, USA)\n", + "\t\t\tUW.OCEN (Ocean Shores, WA, USA)\n", + "\t\t\tUW.OOW2 (Octopus West, WA, USA)\n", + "\t\t\tUW.PABH (Pacific Beach Navy Resort, WA, USA)\n", + "\t\t\tUW.QCDG (Casa Del Gato; Greebeck, Wa, USA)\n", + "\t\t\tUW.QCEN (Centralia College; Centralia, WA, USA)\n", + "\t\t\tUW.QCMM (Tacoma, WA, USA)\n", + "\t\t\tUW.QFRZ (15th Ave SW, Olympia, WA)\n", + "\t\t\tUW.QHOP (Olympia, WA, USA)\n", + "\t\t\tUW.QKTN (Kingston, WA, USA)\n", + "\t\t\tUW.QOCL (Olympia, WA, USA)\n", + "\t\t\tUW.QSKT (University Place, WA, USA)\n", + "\t\t\tUW.QTNB (Gig Harbor, WA, USA)\n", + "\t\t\tUW.QUIN (Olympia, WA, USA)\n", + "\t\t\tUW.SQM (PNNL - Sequim, WA, USA)\n", + "\t\t\tUW.TAHO (Taholah School, Taholah, WA, USA)\n", + "\t\t\tUW.UPL (Tacoma, WA, USA)\n", + "\t\tChannels (151):\n", + "\t\t\tCN.VGZ..HNZ, CN.VGZ..HNN, CN.VGZ..HNE, NP.2130.0B.HNZ, \n", + "\t\t\tNP.2130.0B.HNN, NP.2130.0B.HNE, NP.2158.BS.HNZ, NP.2158.BS.HNN, \n", + "\t\t\tNP.2158.BS.HNE, NP.2193..HNZ, NP.2193..HNN, NP.2193..HNE, \n", + "\t\t\tNP.2194..HNZ, NP.2194..HNN, NP.2194..HNE, NP.7007.CR.HNZ, \n", + "\t\t\tNP.7007.CR.HN2, NP.7007.CR.HN3, NP.7015.52.HNN, NP.7015.52.HNE, \n", + "\t\t\tNP.7015.53.HNN, NP.7015.54.HNN, NP.7015.B1.HNZ, NP.7015.B1.HNN, \n", + "\t\t\tNP.7015.B4.HNZ, NP.7015.B4.HNN, NP.7015.B4.HNE, NP.7015.P2.HNN, \n", + "\t\t\tNP.7015.P2.HNE, NP.7015.P4.HNN, NP.7015.R2.HNN, NP.7015.R2.HNE, \n", + "\t\t\tNP.7015.R3.HNN, NP.7015.R4.HNN, NP.7028..HNZ, NP.7028..HNN, \n", + "\t\t\tNP.7028..HNE, NP.7029.0B.HNZ, NP.7029.0B.HNN, NP.7029.0B.HNE, \n", + "\t\t\tNP.7035..HNZ, NP.7035..HNN, NP.7035..HNE, NP.7038..HNZ, \n", + "\t\t\tNP.7038..HNN, NP.7038..HNE, NP.7039..HNZ, NP.7039..HNN, \n", + "\t\t\tNP.7039..HNE, NP.7040..HNZ, NP.7040..HNN, NP.7040..HNE, \n", + "\t\t\tNP.7041..HNZ, NP.7041..HN2, NP.7041..HN3, NP.7045..HNZ, \n", + "\t\t\tNP.7045..HNN, NP.7045..HNE, NP.7046..HNZ, NP.7046..HNN, \n", + "\t\t\tNP.7046..HNE, NP.7051..HNZ, NP.7051..HNN, NP.7051..HNE, \n", + "\t\t\tNP.7054..HNZ, NP.7054..HNN, NP.7054..HNE, NP.7060..HNZ, \n", + "\t\t\tNP.7060..HNN, NP.7060..HNE, OW.AL2H..HNZ, OW.AL2H..HNN, \n", + "\t\t\tOW.AL2H..HNE, US.NLWA.20.HNZ, US.NLWA.20.HN1, US.NLWA.20.HN2, \n", + "\t\t\tUW.BILS..HNZ, UW.BILS..HNN, UW.BILS..HNE, UW.BLN..HNZ, UW.BLN..HNN\n", + "\t\t\tUW.BLN..HNE, UW.CORE..HNZ, UW.CORE..HNN, UW.CORE..HNE, \n", + "\t\t\tUW.ERW..HNZ, UW.ERW..HNN, UW.ERW..HNE, UW.HURR..HNZ, UW.HURR..HNN, \n", + "\t\t\tUW.HURR..HNE, UW.LWCK..HNZ, UW.LWCK..HNN, UW.LWCK..HNE, UW.MAC..HNZ\n", + "\t\t\tUW.MAC..HNN, UW.MAC..HNE, UW.MKAH..HNZ, UW.MKAH..HNN, \n", + "\t\t\tUW.MKAH..HNE, UW.MNWA..HNZ, UW.MNWA..HNN, UW.MNWA..HNE, \n", + "\t\t\tUW.OCEN..HNZ, UW.OCEN..HNN, UW.OCEN..HNE, UW.OOW2..HNZ, \n", + "\t\t\tUW.OOW2..HNN, UW.OOW2..HNE, UW.PABH..HNZ, UW.PABH..HNN, \n", + "\t\t\tUW.PABH..HNE, UW.QCDG.01.HNZ, UW.QCDG.01.HNN, UW.QCDG.01.HNE, \n", + "\t\t\tUW.QCEN.01.HNZ, UW.QCEN.01.HNN, UW.QCEN.01.HNE, UW.QCMM.01.HNZ, \n", + "\t\t\tUW.QCMM.01.HNN, UW.QCMM.01.HNE, UW.QFRZ.01.HNZ, UW.QFRZ.01.HNN, \n", + "\t\t\tUW.QFRZ.01.HNE, UW.QHOP.01.HNZ, UW.QHOP.01.HNN, UW.QHOP.01.HNE, \n", + "\t\t\tUW.QKTN.01.HNZ, UW.QKTN.01.HNN, UW.QKTN.01.HNE, UW.QOCL.01.HNZ, \n", + "\t\t\tUW.QOCL.01.HNN, UW.QOCL.01.HNE, UW.QSKT.01.HNZ, UW.QSKT.01.HNN, \n", + "\t\t\tUW.QSKT.01.HNE, UW.QTNB.01.HNZ, UW.QTNB.01.HNN, UW.QTNB.01.HNE, \n", + "\t\t\tUW.QUIN..HNZ, UW.QUIN..HNN, UW.QUIN..HNE, UW.SQM..HNZ, UW.SQM..HNN\n", + "\t\t\tUW.SQM..HNE, UW.TAHO..HNZ, UW.TAHO..HNN, UW.TAHO..HNE, \n", + "\t\t\tUW.UPL..HNZ, UW.UPL..HNN, UW.UPL..HNE" + ] + }, + "execution_count": 30, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# ---- USER INPUTS -----\n", + "# Select preferred event\n", + "event_time = UTCDateTime(\"2018-11-19T11:09:13.130000\")\n", + "target_channel = \"HN?\" \n", + "# A time window around the event to search for stations, operating at the time of the event.\n", + "t1 = event_time - 120 # 2 min before origin\n", + "t2 = event_time + 480 # 8 min after origin\n", + "# ----------------------\n", + "\n", + "# Search for stations that were operating during the event window.\n", + "# level=\"response\" includes the instrument response\n", + "st_inv = client.get_stations(\n", + " minlatitude=min_lat, maxlatitude=max_lat, \n", + " minlongitude=min_lon, maxlongitude=max_lon,\n", + " channel=target_channel, starttime=t1, endtime=t2,\n", + " level=\"response\",\n", + ")\n", + "\n", + "st_inv" + ] + }, + { + "cell_type": "markdown", + "id": "32079912", + "metadata": {}, + "source": [ + "## **2. Dataset Selection**" + ] + }, + { + "cell_type": "markdown", + "id": "d2b3042b", + "metadata": {}, + "source": [ + "In this section, we will query the station metadata and using that turn the station inventory into a smaller, science-ready dataset. Instead of requesting everything and sorting it out later, we reduce the request before waveform data move across the network. Because the data is always ready to stream almost instantaneously, we can keep exploring and rebuilding our inventory until we are satisfied." + ] + }, + { + "cell_type": "markdown", + "id": "76423220", + "metadata": {}, + "source": [ + "#### **2.1 Organize station metadata**" + ] + }, + { + "cell_type": "markdown", + "id": "1aa3047f", + "metadata": {}, + "source": [ + "Once you make a station inventory, go through the networks (`inventory.networks`) and stations (`inventory.networks[0].stations`) metadata.\n", + "\n", + "The goal of this section is to make a table of station metadata and decide which stations to keep and which to discard. To keep things organized, we will make a table with our interested metadata with `pandas.dataframe`.\n", + "\n", + "The inventory object is rich, but nested. For decision-making, it is easier to flatten the metadata into a table. This table lets us make reproducible choices about which data to keep. For example, we can filter by channel, sample rate, network, elevation, or distance from the event.\n", + "\n", + "> ✏️ You are encouraged to add or remove metadata from the table based on your needs" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "2b2ee0f7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of station-channel combinations retrieved: 151\n" + ] + }, + { + "data": { + "text/html": [ + "
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networkstationstart_datelatitudelongitudeelevationchannelsample_rate
0CNVGZ1994-07-21T00:00:00.000000Z48.413100-123.32510067.0HNE100.0
1CNVGZ1994-07-21T00:00:00.000000Z48.413100-123.32510067.0HNN100.0
2CNVGZ1994-07-21T00:00:00.000000Z48.413100-123.32510067.0HNZ100.0
3NP21301972-10-04T18:00:00.000000Z47.135560-122.57578080.0HNE200.0
4NP21301972-10-04T18:00:00.000000Z47.135560-122.57578080.0HNN200.0
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146UWTAHO2015-04-01T00:00:00.000000Z47.344372-124.2874606.4HNN200.0
147UWTAHO2015-04-01T00:00:00.000000Z47.344372-124.2874606.4HNZ200.0
148UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNE200.0
149UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNN200.0
150UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0
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" + ], + "text/plain": [ + " network station start_date latitude longitude \\\n", + "0 CN VGZ 1994-07-21T00:00:00.000000Z 48.413100 -123.325100 \n", + "1 CN VGZ 1994-07-21T00:00:00.000000Z 48.413100 -123.325100 \n", + "2 CN VGZ 1994-07-21T00:00:00.000000Z 48.413100 -123.325100 \n", + "3 NP 2130 1972-10-04T18:00:00.000000Z 47.135560 -122.575780 \n", + "4 NP 2130 1972-10-04T18:00:00.000000Z 47.135560 -122.575780 \n", + ".. ... ... ... ... ... \n", + "146 UW TAHO 2015-04-01T00:00:00.000000Z 47.344372 -124.287460 \n", + "147 UW TAHO 2015-04-01T00:00:00.000000Z 47.344372 -124.287460 \n", + "148 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", + "149 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", + "150 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", + "\n", + " elevation channel sample_rate \n", + "0 67.0 HNE 100.0 \n", + "1 67.0 HNN 100.0 \n", + "2 67.0 HNZ 100.0 \n", + "3 80.0 HNE 200.0 \n", + "4 80.0 HNN 200.0 \n", + ".. ... ... ... \n", + "146 6.4 HNN 200.0 \n", + "147 6.4 HNZ 200.0 \n", + "148 126.0 HNE 200.0 \n", + "149 126.0 HNN 200.0 \n", + "150 126.0 HNZ 200.0 \n", + "\n", + "[151 rows x 8 columns]" + ] + }, + "execution_count": 32, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Flatten the nested ObsPy Inventory into a pandas table.\n", + "# Each row represents one network-station-channel combination.\n", + "network = []; station = []; start_date = []\n", + "latitude = []; longitude = []; elevation = []\n", + "channel = []; sample_rate = []\n", + "for net in st_inv.networks:\n", + " for sta in net.stations:\n", + " for chan in sta.channels:\n", + " network.append(net.code)\n", + " station.append(sta.code)\n", + " start_date.append(sta.start_date)\n", + " latitude.append(sta.latitude)\n", + " longitude.append(sta.longitude)\n", + " elevation.append(sta.elevation)\n", + " channel.append(chan.code)\n", + " sample_rate.append(chan.sample_rate)\n", + " \n", + "import pandas as pd\n", + "df_stations = pd.DataFrame({\n", + " \"network\": network,\n", + " \"station\": station,\n", + " \"start_date\": start_date,\n", + " \"latitude\": latitude,\n", + " \"longitude\": longitude,\n", + " \"elevation\": elevation,\n", + " \"channel\": channel,\n", + " \"sample_rate\": sample_rate,\n", + "})\n", + "\n", + "print(f\"Number of station-channel combinations retrieved: {len(df_stations)}\")\n", + "df_stations" + ] + }, + { + "cell_type": "markdown", + "id": "2c5c38b0", + "metadata": {}, + "source": [ + "#### **2.2 Filter stations based on metadata**" + ] + }, + { + "cell_type": "markdown", + "id": "b9e1cdd6", + "metadata": {}, + "source": [ + "Now we turn the station inventory into a smaller, science-ready dataset. This is the cloud equivalent of query optimization. Instead of requesting everything and sorting it out later, we reduce the request before waveform data move across the network.\n", + "\n", + "Below, we filter out stations based on the metadata investigation. As an example case, we are assuming you only want the stations with HNZ channel, 200 Hz sampling rate, and located above 50 m elevation.\n", + "\n", + "> ✏️ You are welcome to choose your own filtering paradigm" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "af083df7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Number of stations after filtering: 24\n" + ] + }, + { + "data": { + "text/html": [ + "
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networkstationstart_datelatitudelongitudeelevationchannelsample_rate
5NP21301972-10-04T18:00:00.000000Z47.135560-122.57578080.0HNZ200.0
8NP21581974-02-08T18:00:00.000000Z47.385570-123.605700247.0HNZ200.0
11NP21931981-04-07T18:00:00.000000Z47.319640-122.58598094.0HNZ200.0
17NP70071990-04-18T18:00:00.000000Z46.366230-122.559750295.0HNZ200.0
45NP70382001-03-22T18:00:00.000000Z46.984910-122.90996060.0HNZ200.0
48NP70392000-07-31T18:00:00.000000Z47.467600-123.84660068.0HNZ200.0
60NP70462002-09-10T18:00:00.000000Z47.120120-122.56534081.0HNZ200.0
75USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0
78UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0
81UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0
87UWERW1997-12-01T00:00:00.000000Z48.453827-122.626121387.0HNZ200.0
90UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0
93UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0
96UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0
108UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0
114UWQCDG2011-11-16T00:00:00.000000Z48.100020-122.58696052.2HNZ200.0
117UWQCEN2012-06-14T00:00:00.000000Z46.716350-122.96190055.4HNZ200.0
120UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0
123UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0
126UWQHOP2010-09-28T00:00:00.000000Z47.060920-122.83960062.0HNZ200.0
132UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0
135UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0
138UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0
150UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0
\n", + "
" + ], + "text/plain": [ + " network station start_date latitude longitude \\\n", + "5 NP 2130 1972-10-04T18:00:00.000000Z 47.135560 -122.575780 \n", + "8 NP 2158 1974-02-08T18:00:00.000000Z 47.385570 -123.605700 \n", + "11 NP 2193 1981-04-07T18:00:00.000000Z 47.319640 -122.585980 \n", + "17 NP 7007 1990-04-18T18:00:00.000000Z 46.366230 -122.559750 \n", + "45 NP 7038 2001-03-22T18:00:00.000000Z 46.984910 -122.909960 \n", + "48 NP 7039 2000-07-31T18:00:00.000000Z 47.467600 -123.846600 \n", + "60 NP 7046 2002-09-10T18:00:00.000000Z 47.120120 -122.565340 \n", + "75 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", + "78 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", + "81 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", + "87 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", + "90 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", + "93 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", + "96 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", + "108 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", + "114 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", + "117 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", + "120 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", + "123 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", + "126 UW QHOP 2010-09-28T00:00:00.000000Z 47.060920 -122.839600 \n", + "132 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", + "135 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", + "138 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", + "150 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", + "\n", + " elevation channel sample_rate \n", + "5 80.0 HNZ 200.0 \n", + "8 247.0 HNZ 200.0 \n", + "11 94.0 HNZ 200.0 \n", + "17 295.0 HNZ 200.0 \n", + "45 60.0 HNZ 200.0 \n", + "48 68.0 HNZ 200.0 \n", + "60 81.0 HNZ 200.0 \n", + "75 640.0 HNZ 200.0 \n", + "78 62.0 HNZ 200.0 \n", + "81 601.0 HNZ 200.0 \n", + "87 387.0 HNZ 200.0 \n", + "90 1605.0 HNZ 200.0 \n", + "93 60.4 HNZ 200.0 \n", + "96 112.5 HNZ 200.0 \n", + "108 741.0 HNZ 200.0 \n", + "114 52.2 HNZ 200.0 \n", + "117 55.4 HNZ 200.0 \n", + "120 90.2 HNZ 200.0 \n", + "123 56.4 HNZ 200.0 \n", + "126 62.0 HNZ 200.0 \n", + "132 53.3 HNZ 200.0 \n", + "135 116.9 HNZ 200.0 \n", + "138 78.8 HNZ 200.0 \n", + "150 126.0 HNZ 200.0 " + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Filter the dataframe to only include stations with channel 'HNZ' and sample rate of 200.0\n", + "filtered_df_station = df_stations[(df_stations['channel'] == 'HNZ') & \n", + " (df_stations['sample_rate'] == 200.0) &\n", + " (df_stations['elevation'] > 50)] \n", + "print(f\"Number of stations after filtering: {len(filtered_df_station)}\")\n", + "filtered_df_station" + ] + }, + { + "cell_type": "markdown", + "id": "f863e174", + "metadata": {}, + "source": [ + "## **3. Data retrieval**" + ] + }, + { + "cell_type": "markdown", + "id": "2549a6a6", + "metadata": {}, + "source": [ + "#### **3.1 Data access** " + ] + }, + { + "cell_type": "markdown", + "id": "be565a5c", + "metadata": {}, + "source": [ + "Now that we have organized the station metadata, we can try to retrieve waveform from these stations. Please, read the notebook `2_seismic_data_example.ipynb` in cloud foundations series for details on Seismic data access.\n", + "\n", + "In brief, seismic data can be accessed through three ways: EarthScope's `dataselect` web service, `obspy` and public `S3` bucket (under development). Here we will access the data through obspy.\n", + "\n", + "Under the hood, `obspy` is using `dataselect` to access data. The `dataselect` service is now updated and cloud-optimized. This is why `obspy` will run significantly faster in a us-east-2 cloud environment (i.e., GeoLab) than it will on a local workstation.\n", + "\n", + "To use the `dataselect` service, an authorization token has to be obtained (for more details follow `Cloud Foundation` notebooks). However, a token is not required to access data using `obspy`" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "dfb1264e", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " network: UW\n", + " station: BILS\n", + " location: \n", + " channel: HNZ\n", + " starttime: 2018-11-19T11:07:13.130000Z\n", + " endtime: 2018-11-19T11:17:13.130000Z\n", + " sampling_rate: 200.0\n", + " delta: 0.005\n", + " npts: 120001\n", + " calib: 1.0\n", + "_fdsnws_dataselect_url: http://service.iris.edu/fdsnws/dataselect/1/query\n", + " _format: MSEED\n", + " mseed: AttribDict({'dataquality': 'M', 'number_of_records': 283, 'encoding': 'STEIM2', 'byteorder': '>', 'record_length': 512, 'filesize': 144896})\n", + " processing: ['ObsPy 1.4.2: trim(endtime=UTCDateTime(2018, 11, 19, 11, 17, 13, 130000)::fill_value=None::nearest_sample=True::pad=False::starttime=UTCDateTime(2018, 11, 19, 11, 7, 13, 130000))']\n" + ] + }, + { + "data": { + 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", 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" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Retrieve waveform data for a specific station and channel\n", + "st = client.get_waveforms(network=\"UW\", station=\"BILS\", location=\"*\", channel=\"HNZ\", starttime=t1, endtime=t2)\n", + "tr = st[0]\n", + "\n", + "print(tr.stats)\n", + "st.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "135ad42f", + "metadata": {}, + "source": [ + "#### **3.2 Data availability on filtered stations**" + ] + }, + { + "cell_type": "markdown", + "id": "9b91e56b", + "metadata": {}, + "source": [ + "Metadata tells us which stations should exist, but it does not guarantee that every station has waveform data for this exact time window. Before scaling up, we test availability station by station." + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "d393f9cf", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " 🔴 NP.2130\n", + " 🔴 NP.2158\n", + " 🔴 NP.2193\n", + " 🔴 NP.7007\n", + " 🔴 NP.7038\n", + " 🔴 NP.7039\n", + " 🔴 NP.7046\n", + " 🟢 US.NLWA\n", + " 🟢 UW.BILS\n", + " 🟢 UW.BLN\n", + " 🟢 UW.ERW\n", + " 🟢 UW.HURR\n", + " 🟢 UW.LWCK\n", + " 🟢 UW.MAC\n", + " 🟢 UW.OOW2\n", + " 🟢 UW.QCDG\n", + " 🟢 UW.QCEN\n", + " 🟢 UW.QCMM\n", + " 🟢 UW.QFRZ\n", + " 🔴 UW.QHOP\n", + " 🟢 UW.QOCL\n", + " 🟢 UW.QSKT\n", + " 🟢 UW.QTNB\n", + " 🟢 UW.UPL\n", + "\n", + "16 of 24 stations returned data.\n" + ] + }, + { + "data": { + "text/html": [ + "
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networkstationstart_datelatitudelongitudeelevationchannelsample_ratedata_available
5NP21301972-10-04T18:00:00.000000Z47.135560-122.57578080.0HNZ200.0False
8NP21581974-02-08T18:00:00.000000Z47.385570-123.605700247.0HNZ200.0False
11NP21931981-04-07T18:00:00.000000Z47.319640-122.58598094.0HNZ200.0False
17NP70071990-04-18T18:00:00.000000Z46.366230-122.559750295.0HNZ200.0False
45NP70382001-03-22T18:00:00.000000Z46.984910-122.90996060.0HNZ200.0False
48NP70392000-07-31T18:00:00.000000Z47.467600-123.84660068.0HNZ200.0False
60NP70462002-09-10T18:00:00.000000Z47.120120-122.56534081.0HNZ200.0False
75USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0True
78UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0True
81UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0True
87UWERW1997-12-01T00:00:00.000000Z48.453827-122.626121387.0HNZ200.0True
90UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0True
93UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0True
96UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0True
108UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0True
114UWQCDG2011-11-16T00:00:00.000000Z48.100020-122.58696052.2HNZ200.0True
117UWQCEN2012-06-14T00:00:00.000000Z46.716350-122.96190055.4HNZ200.0True
120UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0True
123UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0True
126UWQHOP2010-09-28T00:00:00.000000Z47.060920-122.83960062.0HNZ200.0False
132UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0True
135UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0True
138UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0True
150UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0True
\n", + "
" + ], + "text/plain": [ + " network station start_date latitude longitude \\\n", + "5 NP 2130 1972-10-04T18:00:00.000000Z 47.135560 -122.575780 \n", + "8 NP 2158 1974-02-08T18:00:00.000000Z 47.385570 -123.605700 \n", + "11 NP 2193 1981-04-07T18:00:00.000000Z 47.319640 -122.585980 \n", + "17 NP 7007 1990-04-18T18:00:00.000000Z 46.366230 -122.559750 \n", + "45 NP 7038 2001-03-22T18:00:00.000000Z 46.984910 -122.909960 \n", + "48 NP 7039 2000-07-31T18:00:00.000000Z 47.467600 -123.846600 \n", + "60 NP 7046 2002-09-10T18:00:00.000000Z 47.120120 -122.565340 \n", + "75 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", + "78 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", + "81 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", + "87 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", + "90 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", + "93 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", + "96 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", + "108 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", + "114 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", + "117 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", + "120 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", + "123 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", + "126 UW QHOP 2010-09-28T00:00:00.000000Z 47.060920 -122.839600 \n", + "132 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", + "135 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", + "138 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", + "150 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", + "\n", + " elevation channel sample_rate data_available \n", + "5 80.0 HNZ 200.0 False \n", + "8 247.0 HNZ 200.0 False \n", + "11 94.0 HNZ 200.0 False \n", + "17 295.0 HNZ 200.0 False \n", + "45 60.0 HNZ 200.0 False \n", + "48 68.0 HNZ 200.0 False \n", + "60 81.0 HNZ 200.0 False \n", + "75 640.0 HNZ 200.0 True \n", + "78 62.0 HNZ 200.0 True \n", + "81 601.0 HNZ 200.0 True \n", + "87 387.0 HNZ 200.0 True \n", + "90 1605.0 HNZ 200.0 True \n", + "93 60.4 HNZ 200.0 True \n", + "96 112.5 HNZ 200.0 True \n", + "108 741.0 HNZ 200.0 True \n", + "114 52.2 HNZ 200.0 True \n", + "117 55.4 HNZ 200.0 True \n", + "120 90.2 HNZ 200.0 True \n", + "123 56.4 HNZ 200.0 True \n", + "126 62.0 HNZ 200.0 False \n", + "132 53.3 HNZ 200.0 True \n", + "135 116.9 HNZ 200.0 True \n", + "138 78.8 HNZ 200.0 True \n", + "150 126.0 HNZ 200.0 True " + ] + }, + "execution_count": 37, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Check data availability for the filtered stations\n", + "availability = []\n", + "for _, row in filtered_df_station.iterrows():\n", + " net = row['network']\n", + " sta = row['station']\n", + " chan = row['channel']\n", + " try:\n", + " st = client.get_waveforms(network=net, station=sta, location=\"*\", \n", + " channel=chan, starttime=t1, endtime=t2)\n", + " ok = any(len(tr.data) > 0 for tr in st)\n", + " except Exception:\n", + " ok = False\n", + " availability.append(ok)\n", + " print(f\" {'🟢' if ok else '🔴'} {net}.{sta}\")\n", + "\n", + "filtered_df_station['data_available'] = availability\n", + "n_ok = sum(availability)\n", + "print(f\"\\n{n_ok} of {len(filtered_df_station)} stations returned data.\")\n", + "filtered_df_station" + ] + }, + { + "cell_type": "markdown", + "id": "9bb90796", + "metadata": {}, + "source": [ + "#### **3.3 Visualize filtered stations**" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "5de67675", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=(6, 6))\n", + "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n", + "\"\"\"Add land/ocean/coastline context and frame the search box.\"\"\"\n", + "ax.set_extent([min_lon, max_lon, min_lat, max_lat], crs=ccrs.PlateCarree())\n", + "ax.add_feature(cfeature.LAND, facecolor=\"#f3f0ea\")\n", + "ax.add_feature(cfeature.OCEAN, facecolor=\"#dcebf2\")\n", + "ax.add_feature(cfeature.COASTLINE, linewidth=0.6)\n", + "ax.add_feature(cfeature.STATES, linestyle=\":\", linewidth=0.4)\n", + "gl = ax.gridlines(draw_labels=True, linewidth=0.3, color=\"gray\", alpha=0.5)\n", + "gl.top_labels = gl.right_labels = False\n", + "\n", + "for _, row in filtered_df_station.iterrows():\n", + " ok = row['data_available']\n", + " if ok:\n", + " ax.scatter(row['longitude'], row['latitude'], marker=\"o\", s=40,\n", + " facecolors=\"none\", edgecolors=\"green\", linewidths=2.2,\n", + " transform=ccrs.PlateCarree(), zorder=5)\n", + " else:\n", + " ax.scatter(row['longitude'], row['latitude'], marker=\"x\", s=40,\n", + " color=\"red\", linewidths=2.2,\n", + " transform=ccrs.PlateCarree(), zorder=5)\n", + "\n", + "ax.scatter(evlons, evlats, marker=\"*\", s=150, color=\"navy\",\n", + " transform=ccrs.PlateCarree(), zorder=6)\n", + "\n", + "n_ok = int(filtered_df_station['data_available'].sum())\n", + "ax.set_title(f\"{n_ok}/{len(filtered_df_station)} stations have data\")\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "6d8afe4f", + "metadata": {}, + "source": [ + "#### **3.4 Generate final station metadata table**" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "id": "1d5fbeff", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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networkstationstart_datelatitudelongitudeelevationchannelsample_ratedata_available
75USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0True
78UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0True
81UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0True
87UWERW1997-12-01T00:00:00.000000Z48.453827-122.626121387.0HNZ200.0True
90UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0True
93UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0True
96UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0True
108UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0True
114UWQCDG2011-11-16T00:00:00.000000Z48.100020-122.58696052.2HNZ200.0True
117UWQCEN2012-06-14T00:00:00.000000Z46.716350-122.96190055.4HNZ200.0True
120UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0True
123UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0True
132UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0True
135UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0True
138UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0True
150UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0True
\n", + "
" + ], + "text/plain": [ + " network station start_date latitude longitude \\\n", + "75 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", + "78 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", + "81 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", + "87 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", + "90 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", + "93 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", + "96 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", + "108 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", + "114 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", + "117 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", + "120 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", + "123 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", + "132 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", + "135 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", + "138 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", + "150 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", + "\n", + " elevation channel sample_rate data_available \n", + "75 640.0 HNZ 200.0 True \n", + "78 62.0 HNZ 200.0 True \n", + "81 601.0 HNZ 200.0 True \n", + "87 387.0 HNZ 200.0 True \n", + "90 1605.0 HNZ 200.0 True \n", + "93 60.4 HNZ 200.0 True \n", + "96 112.5 HNZ 200.0 True \n", + "108 741.0 HNZ 200.0 True \n", + "114 52.2 HNZ 200.0 True \n", + "117 55.4 HNZ 200.0 True \n", + "120 90.2 HNZ 200.0 True \n", + "123 56.4 HNZ 200.0 True \n", + "132 53.3 HNZ 200.0 True \n", + "135 116.9 HNZ 200.0 True \n", + "138 78.8 HNZ 200.0 True \n", + "150 126.0 HNZ 200.0 True " + ] + }, + "execution_count": 40, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# finally, create a new dataframe that only includes stations with data available\n", + "station_dataframe = filtered_df_station[(filtered_df_station['data_available'] == True)]\n", + "station_dataframe" + ] + }, + { + "cell_type": "markdown", + "id": "4c911927", + "metadata": {}, + "source": [ + "## **4. Data Store**" + ] + }, + { + "cell_type": "markdown", + "id": "dc4d9ff4", + "metadata": {}, + "source": [ + "In this section we will store our station metadata table. Since raw waveform data is always available to stream, we do not need to store them anymore. The metadata table is sufficient to retrieve waveform when needed." + ] + }, + { + "cell_type": "markdown", + "id": "1867d5b3", + "metadata": {}, + "source": [ + "For storage, we have three options in GeoLab.\n", + "1. User home directories (any folder under `/home/jovyan`): 50 GB permanent storage (if GeoLab is accessed at least once in every six months)\n", + "2. The `\\tmp` directory (a writable directory): A fast SSD drive with larger than the home directory, where data will be deleted every time the user logged out of GeoLab.\n", + "3. `scratch` bucket storage: A temporary S3 cloud storage bucket for large datasets which will be deleted after 7 days." + ] + }, + { + "cell_type": "markdown", + "id": "1849e068", + "metadata": {}, + "source": [ + "#### **4.1 Save event parameters** " + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "a60de84b", + "metadata": {}, + "outputs": [], + "source": [ + "import json\n", + "# Store event-selection parameters in a dictionary\n", + "event_selection = {\n", + " \"event_time\": str(event_time),\n", + " \"target_channel\": target_channel,\n", + " \"pre_event_seconds\": 120,\n", + " \"post_event_seconds\": 480,\n", + " \"start_time\": str(t1),\n", + " \"end_time\": str(t2)\n", + "}\n", + "\n", + "# Save as JSON\n", + "with open(\"event_selection.json\", \"w\") as f:\n", + " json.dump(event_selection, f, indent=4)" + ] + }, + { + "cell_type": "markdown", + "id": "c30dc6ae", + "metadata": {}, + "source": [ + "#### **4.2 Save metadata**" + ] + }, + { + "cell_type": "markdown", + "id": "16e5750b", + "metadata": {}, + "source": [ + "Because, the metadata table is small in size and we will need it consistently, the home directory is the best place to store it." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "eda15b59", + "metadata": {}, + "outputs": [], + "source": [ + "# Save the filtered station dataframe to a CSV file\n", + "station_dataframe.to_csv(\"station_dataframe.csv\", index=False)\n", + "\n", + "# Save Station Inventory as StationXML\n", + "st_inv.write(\"station_inventory.xml\", format=\"STATIONXML\")\n", + "\n", + "# Save the event catalog to a QuakeML file\n", + "ev_catalog.write(\"event_catalog.xml\", format=\"QUAKEML\")" + ] + }, + { + "cell_type": "markdown", + "id": "b1391698", + "metadata": {}, + "source": [ + "#### **4.2 Size estimation of selected data**" + ] + }, + { + "cell_type": "markdown", + "id": "b16a8274", + "metadata": {}, + "source": [ + "For any cloud-scale work, a useful habit is to predict the data volume before requesting it. For each user, GeoLab has a resource quota. So it is necessary to be mindful of data volume we are requesting.\n", + "\n", + "The arithmetic is simple —\n", + "\n", + "$$\\text{bytes} \\approx n_{\\text{channels}} \\times \\text{sample rate} \\times \\text{duration (s)} \\times \\text{bytes per sample}$$\n", + "\n", + "miniSEED is compressed, so this is an *upper bound* on the uncompressed size" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "cb97ee4c", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "~16 channels x 200.0 Hz x 600.0s\n", + "Estimated upper-bound volume: 7.7 MB\n" + ] + } + ], + "source": [ + "# Estimate the uncompressed size of the waveform request.\n", + "sample_rate = station_dataframe[\"sample_rate\"].iloc[0]\n", + "duration_s = t2 - t1 # seconds in the requested waveform window\n", + "n_channels = len(station_dataframe)\n", + "\n", + "nbytes = n_channels * sample_rate * duration_s * 4\n", + "mb = nbytes / 1e6\n", + "\n", + "print(f\"~{n_channels} channels x {sample_rate} Hz x {duration_s}s\")\n", + "print(f\"Estimated upper-bound volume: {mb:.1f} MB\")" + ] + }, + { + "cell_type": "markdown", + "id": "b1c28f0c", + "metadata": {}, + "source": [ + "## **Reflection**" + ] + }, + { + "cell_type": "markdown", + "id": "fb42fc5d", + "metadata": {}, + "source": [ + "In this notebook, you have gove over exploratory steps on seismic data discovery and retrieval in GeoLab, the cloud-platform provided by EarthScope. You have generated an event catalogue and station inventory which you have filtered based on station metadata so that it matches your science workflow. At the end, you store the results of your exploration.\n", + "\n", + "> **Suppose, you need to go through this data discovery and retrieval steps several times, either to collect data for multiple regions or have an iterative workflow to select your dataset. In any case, which platform do you think will be faster and efficient for data discovery and retrieval, GeoLab or Local Workstation?**" + ] + }, + { + "cell_type": "markdown", + "id": "bb21e5fa", + "metadata": {}, + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb new file mode 100644 index 0000000..f4ec631 --- /dev/null +++ b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb @@ -0,0 +1,633 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "733e96ed", + "metadata": {}, + "source": [ + "# **Notebook 2** - Inspecting & Processing Seismic Data\n", + "\n", + "### MVP1 goals: Data inspection, preprocessing, visualizations" + ] + }, + { + "cell_type": "markdown", + "id": "60662fae", + "metadata": {}, + "source": [ + "In Notebook 1, we learned how to discover seismic events, select stations, retrieve waveform data, and store the results as a reusable data product.\n", + "\n", + "In this notebook, we take the next step: we inspect the retrieved waveforms and decide whether they are ready for analysis.\n", + "\n", + "A waveform dataset is not automatically useful just because it was retrieved successfully. Some traces may have gaps, missing channels, unusual sampling rates, incomplete metadata, noisy records, or unavailable instrument response information. Before using the data for scientific interpretation, we need to check its quality and prepare it consistently." + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "b4440452", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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0USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0True
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10UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0True
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\n", + "
" + ], + "text/plain": [ + " network station start_date latitude longitude \\\n", + "0 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", + "1 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", + "2 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", + "3 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", + "4 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", + "5 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", + "6 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", + "7 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", + "8 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", + "9 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", + "10 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", + "11 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", + "12 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", + "13 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", + "14 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", + "15 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", + "\n", + " elevation channel sample_rate data_available \n", + "0 640.0 HNZ 200.0 True \n", + "1 62.0 HNZ 200.0 True \n", + "2 601.0 HNZ 200.0 True \n", + "3 387.0 HNZ 200.0 True \n", + "4 1605.0 HNZ 200.0 True \n", + "5 60.4 HNZ 200.0 True \n", + "6 112.5 HNZ 200.0 True \n", + "7 741.0 HNZ 200.0 True \n", + "8 52.2 HNZ 200.0 True \n", + "9 55.4 HNZ 200.0 True \n", + "10 90.2 HNZ 200.0 True \n", + "11 56.4 HNZ 200.0 True \n", + "12 53.3 HNZ 200.0 True \n", + "13 116.9 HNZ 200.0 True \n", + "14 78.8 HNZ 200.0 True \n", + "15 126.0 HNZ 200.0 True " + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# first we read the inventory and metadata that we saved in Notebook1_mvp1.ipynb\n", + "from obspy import read_inventory\n", + "st_inv = read_inventory(\"station_inventory.xml\")\n", + "\n", + "import pandas as pd\n", + "df = pd.read_csv(\"station_dataframe.csv\")\n", + "\n", + "import json\n", + "from obspy import UTCDateTime\n", + "\n", + "with open(\"event_selection.json\", \"r\") as f:\n", + " event_selection = json.load(f)\n", + "\n", + "event_time = UTCDateTime(event_selection[\"event_time\"])\n", + "t1 = UTCDateTime(event_selection[\"start_time\"])\n", + "t2 = UTCDateTime(event_selection[\"end_time\"])\n", + "target_channel = event_selection[\"target_channel\"]\n", + "\n", + "df\n" + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "f13d54e8", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " network: US\n", + " station: NLWA\n", + " location: 20\n", + " channel: HNZ\n", + " starttime: 2018-11-19T11:07:59.735000Z\n", + " endtime: 2018-11-19T11:11:28.110000Z\n", + " sampling_rate: 200.0\n", + " delta: 0.005\n", + " npts: 41676\n", + " calib: 1.0\n", + "_fdsnws_dataselect_url: https://service.earthscope.org/fdsnws/dataselect/1/query\n", + " _format: MSEED\n", + " mseed: AttribDict({'dataquality': 'M', 'number_of_records': 19, 'encoding': 'STEIM2', 'byteorder': '>', 'record_length': 512, 'filesize': 33792})\n", + " processing: ['ObsPy 1.4.2: trim(endtime=UTCDateTime(2018, 11, 19, 11, 17, 13, 130000)::fill_value=None::nearest_sample=True::pad=False::starttime=UTCDateTime(2018, 11, 19, 11, 7, 13, 130000))']\n" + ] + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "execution_count": 22, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "row_number = 0 # You can change this to any row number you want to retrieve\n", + "\n", + "# Retrieve waveform data for a specific station and channel\n", + "from obspy.clients.fdsn import Client\n", + "client = Client(\"https://service.earthscope.org\")\n", + "st = client.get_waveforms(network=df.iloc[row_number].network, \n", + " station=df.iloc[row_number].station, location=\"*\", \n", + " channel='HNZ', starttime=t1, endtime=t2)\n", + "\n", + "st.merge(method=1, fill_value=\"interpolate\") # Merge the traces in the stream, filling gaps by interpolation\n", + "tr = st[0] \n", + "\n", + "print(tr.stats)\n", + "st.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "9864d949", + "metadata": {}, + "source": [ + "You just pulled real ground motion data from a station and plotted it. The ground motion data or seismogram records different waves that travel through the Earth at different speeds and therefore arrive at different times. The fastest wave arrives first (P-wave), followed by slower ones (Surface wave)." + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "0fe5e488", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(1,2,1)\n", + "plt.plot(tr.times(),tr.data)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.title(\"Complete Waveform Requested\")\n", + "\n", + "# Trim the waveform data to a specific time window\n", + "pick_time1 = 120\n", + "pick_time2 = 180\n", + "\n", + "tr_trim = tr.copy() # Create a copy of the trace to trim\n", + "tr_trim.trim(starttime=t1+pick_time1, endtime=t1+pick_time2)\n", + "\n", + "plt.subplot(1,2,2)\n", + "plt.plot(tr_trim.times(),tr_trim.data)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.title(\"Trimmed Waveform\")\n", + "\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "markdown", + "id": "ac1a6467", + "metadata": {}, + "source": [ + "#### **Data Interpretation**" + ] + }, + { + "cell_type": "markdown", + "id": "246a8b58", + "metadata": {}, + "source": [ + "In the plot above, the y-axis is raw digital counts, not ground motion. The instrument doesn't record accelaration or velocity directly. Ground motion moves a mass, that motion is converted to a voltage, and a digitizer turns the voltage into integer counts. The counts are proportional to ground motion, but the proportionality constant (and its frequency dependence) lives in the **instrument response**." + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "e3b0b7ea", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Waveform After Instrument Response Removal')" + ] + }, + "execution_count": 26, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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uuLq6YtCgQWI5U1NTTJgwAWlpaThy5IhknwMGDJA8kVecL8U5UuTWOHz4sNpwDYX9+/cjKSkJgwYNkrwvxsbG8PPzK/R7QmHEiBFwcnKCm5sbunfvjuTkZKxfv158Ei8IArZv345evXpBEATJawUEBCA5OVky/AIAhgwZIulForjWFD0slJffv38fubm54nkEgMmTJ0vKKXoXKb679P0uVZxLBW3fzUREJYVDCYiIyjiZTIbWrVuLDYfjx4/D2dlZbLy2bt0ay5cvBwAxQKAcGDh+/Dhmz56NEydOqI0xT05OFhvXAwYMwB9//IETJ06gdevWuHXrFs6ePYslS5aI5SMjIyEIAry8vDTWVfmGW5O7d+8CyG9EKTMzM0ONGjXE9QpVqlTRmuBP+QYbgHgc1apV07hcWyNGISkpCbt378a4ceMQFRUlLm/Tpg22b9+Omzdvonbt2jr3oUlkZCQAqCUwVJacnCxpjHl6ehr8OqpUz49i/0+fPoWdnR0GDBiAtWvXYtSoUZg2bRq6dOmCPn36oF+/fpKgjS663p+Xqauu91L5fYyMjERycjKcnZ017leRAFPb6wD556Wwa0Mf27dvh52dHR4/foylS5fizp07koafIdfBwoULMXToUFSrVg2+vr4IDAzEkCFD1Mauu7m5qSWmVFyj0dHRaNmyJe7evQsvLy+191QxPEL1M6frugHyg0ELFizAlClT4OLigpYtW6Jnz54YMmSIONxGcaydO3fWeJx2dnZaz4GyWbNmoV27dkhLS8OOHTuwefNmyXE8fvwYSUlJWLNmjdbpUAu7BnRda3K5HMnJyXB0dMTdu3dhZGSkNsOKq6srHBwcJOdRn+9SQP/vZiKiksDAABHRK6Bt27bYuXMnLl++LOYXUGjdujU+/fRTPHz4EMeOHYObm5vYgLh16xa6dOkCb29vLF68GNWqVYOZmRl2796Nb775RvKkuFevXrCyssLWrVvRunVrbN26FUZGRmIyNiA/0ZtMJsOePXtgbGysVk8bG5siPW7lhpUqTa+va7lQyFj9bdu2ISsrC4sWLcKiRYvU1m/cuBFz587VuQ9NFOf4q6++0jrln+p503Xc+irsPFhaWuLo0aMICwvDrl27sHfvXmzZsgWdO3fGP//8o3X7l6lnXl6eQXXVtFz5fZTL5XB2dtbao8PJyUmv1yns2tBH+/btxVkJevXqhQYNGuDdd9/F2bNnYWRkZNB10L9/f7Rr1w47duzAP//8g6+++goLFizA77//jh49erx0XXXR5xxNnDgRvXr1wh9//IF9+/Zh5syZCAkJwaFDh9CkSRPxWNevX69xWkHlHj26NGjQAP7+/gCA3r17IyMjA++//z7atm2LatWqia/z3nvvaQ24KHKbFHZ8+l4byj1btNHnu9SQ72YiopLAwAAR0StA0QPg2LFjOH78uCShlq+vL8zNzXH48GGEh4cjMDBQXLdz505kZWXhr7/+kjwp09SV19raGj179sS2bduwePFibNmyBe3atYObm5tYpmbNmhAEAZ6eni/09Nzd3R0AcOPGDcnTz+zsbNy5c0dsBJSGjRs3on79+uJsCsq+++47bNq0SWdgQFuDoWbNmgDyn5KW5vFpYmRkhC5duqBLly5YvHgxgoOD8b///Q9hYWHw9/fXqxGkSYUKFdRmmcjOzsajR4+KoNYFatasiQMHDqBNmzZFEkwB9Gv4FcbGxgazZ8/G8OHDsXXrVgwcONDg66By5cr46KOP8NFHHyE+Ph5NmzbF/PnzJYGBmJgYteksb968CQBicj93d3dcunQJcrlc8rT9+vXr4voXUbNmTUyZMgVTpkxBZGQkGjdujEWLFmHDhg3isTo7OxfpNR8aGoodO3Zg/vz5WL16NZycnGBra4u8vLxi/2y5u7tDLpcjMjJSkowyLi4OSUlJkvOoz3epId/NREQlgTkGiIheAc2aNYOFhQU2btyIhw8fSnoMmJubo2nTplixYgXS09MlwwgUT8GUn3olJyfjxx9/1Pg6AwYMQExMDNauXYuLFy9iwIABkvV9+vSBsbEx5s6dq/YkTRAEPHnyROdx+Pv7w8zMDEuXLpVs/8MPPyA5ORlBQUGFnInicf/+fRw9ehT9+/dHv3791P4NHz4cUVFRCA8P17oPReNMtUHs6+uLmjVr4uuvv0ZaWprado8fPy7SY9GXpikcFU+yFdOvaTumwtSsWRNHjx6VLFuzZo3WHgMvqn///sjLy8MXX3yhti43N9fgegMvfsyq3n33XVStWlWcBULf6yAvL09tfLmzszPc3Nw0Tp/33Xffib9nZ2fju+++g5OTE3x9fQEAgYGBiI2NxZYtWyTbLVu2DDY2NujQoYNBx5WRkYHMzEzJspo1a8LW1lasX0BAAOzs7BAcHIycnBytx2qomjVrom/fvvjpp58QGxsLY2Nj9O3bF9u3b0dERESRvY4mioCr6nCAxYsXA4Dad1dh36WGfjcTERU39hggInoFmJmZoXnz5vj3339hbm4u3vQrtG7dWuz+rhwY6NatG8zMzNCrVy+MHj0aaWlp+P777+Hs7Kzx6W1gYCBsbW3xySefiDfdymrWrIkvv/wS06dPR3R0NHr37g1bW1vcuXMHO3bswAcffIBPPvlE63E4OTlh+vTpmDt3Lrp374433ngDN27cwMqVK9G8eXO89957L3OaXtimTZsgCALeeOMNjesDAwNhYmKCjRs3ikkOVdWsWRMODg5YvXo1bG1tYW1tDT8/P3h6emLt2rXo0aMH6tWrh+HDh6NKlSp4+PAhwsLCYGdnh507dxbn4Wk0b948HD16FEFBQXB3d0d8fDxWrlyJqlWriteQrmPSZdSoUfjwww/Rt29fdO3aFRcvXsS+ffvErvZFpUOHDhg9ejRCQkJw4cIFdOvWDaampoiMjMS2bdvw7bffol+/fgbts3HjxjA2NsaCBQuQnJwMc3Nzca55Q5iamuLjjz/Gp59+ir1796J79+56XQepqamoWrUq+vXrh0aNGsHGxgYHDhzA6dOn1Ya4uLm5YcGCBYiOjkbt2rWxZcsWXLhwAWvWrBHzfXzwwQf47rvvMGzYMJw9exYeHh747bffcPz4cSxZsgS2trYGHdfNmzfRpUsX9O/fHz4+PjAxMcGOHTsQFxeHgQMHAsjvFbFq1SoMHjwYTZs2xcCBA+Hk5IR79+5h165daNOmjZgXxVCffvoptm7diiVLliA0NBShoaEICwuDn58f3n//ffj4+CAxMRHnzp3DgQMHNAbAXkSjRo0wdOhQrFmzBklJSejQoQNOnTqFn3/+Gb1790anTp0k5Qv7LjX0u5mIqNiV7CQIRET0ohTT8bVu3Vpt3e+//y4AEGxtbYXc3FzJur/++kto2LChYGFhIXh4eAgLFiwQ1q1bJwAQ7ty5o7avd999VwAg+Pv7a63L9u3bhbZt2wrW1taCtbW14O3tLYwdO1a4ceOGWEbTdIUKy5cvF7y9vQVTU1PBxcVFGDNmjPD06VNJmQ4dOgj16tVT21YxrZrqdGmapu4ThIIp8U6fPq31eBo0aCBUr15d63pBEISOHTsKzs7OQk5OjsbpCgUhf2o3Hx8fwcTERG2av/Pnzwt9+vQRHB0dBXNzc8Hd3V3o37+/cPDgQbGMrnOmia7pClX3oTgPivf84MGDwptvvim4ubkJZmZmgpubmzBo0CDh5s2beh2TtvdHEAQhLy9P+Oyzz4RKlSoJVlZWQkBAgBAVFaV1ukLV90bbMWg772vWrBF8fX0FS0tLwdbWVmjQoIEwdepUISYmRizj7u4uBAUFqW2raSq477//XqhRo4ZgbGxc6NSFut6z5ORkwd7eXrL/wq6DrKws4dNPPxUaNWok2NraCtbW1kKjRo2ElStXqtW7Xr16wpkzZ4RWrVoJFhYWgru7u7B8+XK1esTFxQnDhw8XKlWqJJiZmQkNGjRQm4JS2+dKEKTTTyYkJAhjx44VvL29BWtra8He3l7w8/MTtm7dqrZdWFiYEBAQINjb2wsWFhZCzZo1hWHDhglnzpzRej4V22n6LCt07NhRsLOzE6crjYuLE8aOHStUq1ZNMDU1FVxdXYUuXboIa9asKXSfhlyDOTk5wty5cwVPT0/B1NRUqFatmjB9+nStU6EW9l2q73czpyskopIgE4QiyLhDRERERCWmY8eOSEhI0NiFnoiIyFDMMUBERERERERUjjEwQERERERERFSOMTBAREREREREVI4xxwARERERERFROcYeA0RERERERETlGAMDREREREREROWYSWlXoDyQy+WIiYmBra0tZDJZaVeHiIiIiIiIXnOCICA1NRVubm4wMtLdJ4CBgRIQExODatWqlXY1iIiIiIiIqJy5f/8+qlatqrMMAwMlwNbWFkD+G2JnZ1fKtSEiIiIiIqLXXUpKCqpVqya2R3VhYKAEKIYP2NnZMTBAREREREREJUaf4exMPkhERERERERUjjEwQERERERERFSOvVRgICsrq6jqQUSlLC0rF5ceJEEQhNKuChERERERlSCDAgN79uzB0KFDUaNGDZiamsLKygp2dnbo0KED5s+fj5iYmOKqJxEVs55L/8Uby49j/9W40q4KERERERGVIL0CAzt27EDt2rUxYsQImJiY4LPPPsPvv/+Offv2Ye3atejQoQMOHDiAGjVq4MMPP8Tjx4+Lu95EVMSin2QAAP68yAAfEREREVF5otesBAsXLsQ333yDHj16wMhIPZbQv39/AMDDhw+xbNkybNiwAZMmTSramhJRiZDLOZSAiIiIiKg80SswcOLECb12VqVKFYSGhr5UhYiodOUxMEBEREREVK5wVgIikpAz+SARERERUbliUGDg0aNH2LBhA3bv3o3s7GzJuvT0dMybN69IK0dEJY89BoiIiIiIyhe9AwOnT5+Gj48Pxo4di379+qFevXq4cuWKuD4tLQ1z584tlkoSUclhXICIiIiIqHzROzDw+eef46233sLTp08RFxeHrl27okOHDjh//nxx1o+IShiHEhARERERlS96JR8EgLNnz2LFihUwMjKCra0tVq5cierVq6NLly7Yt28fqlevXpz1JKISwsAAEREREVH5ondgAAAyMzMlv0+bNg0mJibo1q0b1q1bV6QVI6LSwRwDRERERETli96Bgfr16+O///5Dw4YNJcs/+eQTyOVyDBo0qMgrR0RERERERETFS+8cA0OGDMHx48c1rps6dSrmzp3L4QRErwEZZKVdBSIiIiIiKkF6BwZGjRqF9evXa13/2Wef4c6dO0VSKSIienHXHqVg1p8ReJyaVdpVISIiIqJXgEE5Bojo9Sdjh4FXXo9v/wUA3E/MwI/DW5RybYiIiIiorNO7x4DCf//9Vxz1ICKiInb5YUppV4GIiIiIXgEGBQZ2796Nt956q7jqQkRERYhTTxIRERGRPvQODGzYsAEDBw7Exo0bi7M+RFTKOJTg9cHAABERERHpQ6/AwJIlSzBq1Chs2LAB/v7+xV0nIiJSsjfiEfqu+g/3EzMM2i5PzsAAERERERVOr8DA5MmT8fXXX+ONN94o7voQEZGKDzecw9m7TzH998sGbccOA0RERESkD70CA23atMHKlSvx5MmT4q4PEZUyGTiWoKxKepZtUHkOJSAiIiIifegVGNi/fz88PT3RtWtXpKQwyzURUWm4+4RDCYiIiIio6OkVGLCwsMBff/0FHx8fdO/evbjrRESlSCYDwm7EY+ymc0jKMOwJNRWv1Mxcg8qzwwARERER6UPvWQmMjY2xYcMGtGjRojjrU6gVK1bAw8MDFhYW8PPzw6lTp3SW37ZtG7y9vWFhYYEGDRpg9+7dkvWCIGDWrFmoXLkyLC0t4e/vj8jISEkZDw8PyGQyyb/Q0NAiPzaismL4j6ex69IjLNh7vbSrQi8hj5EBIiIiItKD3oEBhSVLlhRDNfSzZcsWTJ48GbNnz8a5c+fQqFEjBAQEID4+XmP5//77D4MGDcLIkSNx/vx59O7dG71790ZERIRYZuHChVi6dClWr16N8PBwWFtbIyAgAJmZmZJ9zZs3D48ePRL/jR8/vliPlagseJiUWXghKrOYY4CIiIiI9GFwYKA0LV68GO+//z6GDx8OHx8frF69GlZWVli3bp3G8t9++y26d++OTz/9FHXr1sUXX3yBpk2bYvny5QDyewssWbIEM2bMwJtvvomGDRvil19+QUxMDP744w/JvmxtbeHq6ir+s7a2Lu7DJSp1AhuWrzS+fURERESkD4MDA3v37sWxY8fE31esWIHGjRvjnXfewdOnT4u0csqys7Nx9uxZ+Pv7i8uMjIzg7++PEydOaNzmxIkTkvIAEBAQIJa/c+cOYmNjJWXs7e3h5+ents/Q0FA4OjqiSZMm+Oqrr5Cbq32sb1ZWFlJSUiT/iF5FbFgSEREREb3+DA4MfPrpp2JD9/Lly5gyZQoCAwNx584dTJ48ucgrqJCQkIC8vDy4uLhIlru4uCA2NlbjNrGxsTrLK/4vbJ8TJkzA5s2bERYWhtGjRyM4OBhTp07VWteQkBDY29uL/6pVq6b/gRKVMpmsYLpCdkUnIiIiInr9mRi6wZ07d+Dj4wMA2L59O3r27Ing4GCcO3cOgYGBRV7BskA54NGwYUOYmZlh9OjRCAkJgbm5uVr56dOnS7ZJSUlhcIBeSQwMEBERERG9/gzuMWBmZoaMjPy5tA8cOIBu3boBACpWrFisXeYrVaoEY2NjxMXFSZbHxcXB1dVV4zaurq46yyv+N2SfAODn54fc3FxER0drXG9ubg47OzvJP6JXhUzys0xrOSIiIiIiej0YHBho27YtJk+ejC+++AKnTp1CUFAQAODmzZuoWrVqkVdQwczMDL6+vjh48KC4TC6X4+DBg2jVqpXGbVq1aiUpDwD79+8Xy3t6esLV1VVSJiUlBeHh4Vr3CQAXLlyAkZERnJ2dX+aQiIgMYmZi2Fe2jHEdIiIiItKDwUMJli9fjo8++gi//fYbVq1ahSpVqgAA9uzZg+7duxd5BZVNnjwZQ4cORbNmzdCiRQssWbIE6enpGD58OABgyJAhqFKlCkJCQgAAH3/8MTp06IBFixYhKCgImzdvxpkzZ7BmzRoA+WOpJ06ciC+//BJeXl7w9PTEzJkz4ebmht69ewPIT2AYHh6OTp06wdbWFidOnMCkSZPw3nvvoUKFCsV6vESlgY3JsquKg6VB5U2M+GYSERERUeH0DgwcOnQIHTp0QPXq1fH333+rrf/mm2+KtGKaDBgwAI8fP8asWbMQGxuLxo0bY+/evWLywHv37sHIqOCJWuvWrbFp0ybMmDEDn3/+Oby8vPDHH3+gfv36YpmpU6ciPT0dH3zwAZKSktC2bVvs3bsXFhYWAPKHBWzevBlz5sxBVlYWPD09MWnSpGJNtEhUmiRDCdiuLFMMnT7SiG8gEREREelBJuh5p1mjRg0kJSWhe/fu6N27N3r06AFbW9virt9rISUlBfb29khOTma+ASqzPKbtAgB09nbGoevxAIDWNR2x6f2WpVktQsF7U72iFY5O7aR3eSszY1ydV7w9uYiIiIiobDKkHar3gNXbt2/j8OHD8PHxwddffw1nZ2d07doVy5Ytw71791660kREVLTYX4CIiIiI9GFQJquGDRtixowZOHXqFG7duoW+fftiz549qFOnDho3boxZs2bhzJkzxVVXIioBmoYSCIKA7Fx5qdSHCuTk8T0gIiIioqJn8KwECm5ubvjwww+xe/duJCQkYMaMGYiOjkb37t0RHBxclHUkohKkaVj6u2vD4fvlfqRl5ZZ8hUj0KDnToPIy5hggIiIiIj0YPCuBJtbW1ujXrx/69euHvLw8JCYmFsVuiahUqDcm/7v1BABwLPIxutevXNIVIiIiIiKiYvRCgYHTp08jLCwM8fHxkMsLurbKZDIsWrQITk5ORVZBIio9Mo5Sf6Xx3SMiIiIifRgcGAgODsaMGTNQp04duLi4SLqqstsq0atP18fYwNnyqAgoTxxTz+3FZjURBAGz/rwCE2MZZveqV1RVIyIiIqLXhMGBgW+//Rbr1q3DsGHDiqE6RFTadIX3GBfIl5snx3+3nqBJdQfYWpgW62vJlU66ifGLpYWJik/D+pN3AQBTA7xhZmKEC/efop6bPSxMjYuimkRERET0CjP4LtPIyAht2rQpjroQURmg3GNAJgPkSi1T9hjItzwsCkPWncKIn04X+2vlyV/ipD9/Lx88fSYuysjOxdf/3EDfVSfw0cZzL1k7IiIiInodGBwYmDRpElasWFEcdSGiMij3ZRqmr6mtp+8DAE5HPy2214hNzsTp6ETIlaIxkXGphW4n1/B+Kc8mkZGdh1WHbwEADl2PL4KaEhEREdGrzuChBJ988gmCgoJQs2ZN+Pj4wNRU2o32999/L7LKEVHJUB7HrppwUPmJtbyYuwzEp2aikrU5jIzKdr6Sksin0vHrMGTmyLFxlJ+4LCM7r9Dt5JL3Mt/TjGxx2bOcwvdBREREROWLwT0GJkyYgLCwMNSuXRuOjo6wt7eX/COiV4/yQ2bVNm+OZOaR4qvDiVtP0GL+QYzecNag7aLi0/R6kl6USiLPamZO/nk/fMOwp/p5SoEBxU9zd14Vl+kTXCgt2blyjT0eiIiIiKh4Gdxj4Oeff8b27dsRFBRUHPUholKg/JR5T0SsZF1eXsk01Nb+exsAsP9qHARBgOf03ajlbIMDkzto3SY7Vw7/xUcAANfmdYelWckk0ivuwEBiesET/uxcuY6S6jR16nCwNMWT5/vMyM5VL2CApQcjkZmTh6ndvV9qP6oyc/LgPXMvrMyMcXVe9yLdNxERERHpZnCPgYoVK6JmzZrFURciKiXaRgj8G5kg6TFQVCMJcvPkmLL1IracvicuU25shz1/Sh4VnyYZH6/qmdLT75TMHL1e+/y9pxi05iSuxCQbWOsCRsUcGchVOucu9hbiz1UcLAvdVtNQgq4+LuKyZy/RYyAzJw+L99/EysO3EJeS+cL70eTC/SQA+T0anioFRoiIiIio+BkcGJgzZw5mz56NjIyM4qgPEZWg1MwczPnrCs7e1Z5ELyapoAFYWI4BfbuB/33pEbafe4DPtl8Wlx24VtBl3k5pCsA8uYB/rsSi41dhSFcNErxA+/ytlf/hxO0nCFp6DFHxaZJ1OXlyrAiLwsXnjVRtij0woNRLQ/m18uQClh6MxNWYFK3baprFIEup10GOhh4gCWlZ+PXUPa0zIAiCgKj4NMn5V30vTt5+goFrTiAq/sWGdSif0ftP+feFiIiIqCQZHBhYunQp9uzZAxcXFzRo0ABNmzaV/COiV8eif27ip/+iMej7k1rLZColq8vVMaxgb0QsGszZhwNX4wp9XeWu8lN/u6jWIDUxLvhqkssFfLD+LKKfZKDxvH+kO3rJHgz+i49IeiSsP3EXX+27gTdXHNe5XXGnGFA+zzlKjfrYlEws3n8TgUv/1bqtNF9Efk2zcgveQ02N/2ZfHsD03y9jjJb8Dp/viID/4iPw/fKAuOzvS48kZQauOYmTtxPhv/io1rrpohywUE2ASURERETFy+AcA7179y6GahBRaTh/r/Dp9pQbqZoalbl5cuQJAj583qgc9csZHJjcAbWcbbTu84djd8Sft555gI51nCXrbyolE1ROpqf6tFuSaE8AgndfQ9j1eOwY2wY25vp9vT1OzRLLXnuk/Um8RDG3W7PzlJ7w6+iFoehyX8HaTFymqdfG+XtJ4s/KwxRU/aMlqPPrqXtqy9JfMleBqvUno4t0f0RERESkP4MDA7Nnzy6OehBRKbj4oPBx9vuuFCQjzFMZSiCXC+j+7b+ITkiXLPdffATRodoTlD5Meib5PSEtS/L71N8uFbymjoax6lSKa47mJzDcevo+RrT11Lqdsj4rj2PpoCZo5+Wk1gEh4mEyYpMz4a80Rh8o2qEEOXlyLPrnJtp7VULrWpUASBvvOXmaG/LZuXI0+WI/ACByfg+YPu9lIckx8Lyaj5ILhoPoOp+GKOypfnJGDq7FpsDPs6Je0zsq13HflVg0qMpZboiIiIhKil5DCYRinruciMqu9Sfvij/nqjQqE9KyEBWfprbcULq+YnQ1ZJUbwcrlrj5KwY1Y/ca6P83IweAfTmlc13PZMYz65QzO3k2ULC/KDgObwu9h9ZFbeGdtuLgsJ7fgWHK1BAaORyWIP3v9bw/GbjwHQDqUQNN5fdn3SuHywySd63stP4aBa07i93MP9dqf8vt3s5DpJ386fgddFx9BfBEnQCQiIiIqr/QKDNSrVw+bN29GdrbuTNGRkZEYM2YMQkNDi6RyRFS25D1vpN5PzEBmTp7Obu7KQvZcw+AfwrFw73UcuflYbb2u4KNqYCAxPRt/XniIzJw8tR4DCr+dfYCAJUcNnppPWyN82aEoye/69hhIy8pF8O5rOpMZHr4Rr7ZMeSaIe4maE/Edui7dbtflRzh687GkvKZkkarnM0zD6+vjeNQTnesV9dh9+ZHWMqejE9Fv1X+IeJgsCWgUdlnN2XkVkfFpGLBGe26MopCUkY3Ab//F6iO3ivV1iIiIiEqbXkMJli1bhs8++wwfffQRunbtimbNmsHNzQ0WFhZ4+vQprl69imPHjuHKlSsYN24cxowZU9z1JqJSkCfkd6/vuewYqle0wvqRLbSWzcrNg7mJMQDguyP5Xfz/jUzAysPqjSxd7UDVxu2QdeGIeJgCWwsT7Pm4XUHdNLQmoxMy4ONmp+uQJNK1TOV36UEyVh6OwkcdawGQTq2oy8qwKKw5ehtrjt7WOrTiwdOCYRWCIOCvizFIzSwIaOy7onncv3JPDoUh66Q9HxSnztXOArHPn66r9hgY/uPpQo/Dp7Idruqbf0HFMaWeDareXn0CQH7PDG9XW6U1+gWc7qgMYSlqa/+9g6uPUnD1UQo+7MBpeomIiOj1pVdgoEuXLjhz5gyOHTuGLVu2YOPGjbh79y6ePXuGSpUqoUmTJhgyZAjeffddVKhQobjrTERFpE0tx0Kf/CrLk8uxNyI/58C9xAyd3dK3n32Id/yq67VfXUMJVF8j4mF+AzU1MxeZOQVP1jUFBvZeiTUoMKBNYno2Fu69gV4N3VCtopXamPkHTzOwKfwehrX2gLW5Cf648BBdfVxw94n0af/P/0UjJukZpgfWFZcplzl4LR4fb77w0vVVUARVlHMW5GnpFQEAbzZ207jc0cZMbZmZsX6T2ihPlaiLtPeHXpsUu+VhUYUXIiIiInoNGJR8sG3btmjbtm1x1YWISlhFa3ODyufJASOlNrGu6QtV57nX5ZcT0VrXacqyr5Ct1OhUTYwIQHfE4QWkZeVCEAS1HANtF4QBAFYevoV+vlXx29kH+PF4NOorBSXSs3Ix+68rAICA+q5oWj0/iKo8A8GoX84UaX0LAgNKOQt0nE8rM81/EkyM1LtIFGH+RQBADSdrRManAQAsTY3F5XcS0tHp68NYOqgJ3mikOXBBRERERC9Hv0c+RPRaiks2LHlbnlyOW48Lum9ry5gPAIKe3cEBIPqJ5nH0gJYGv4bX19RjwNCwgHJbV9P+3l0bjsE/nNLZKP7t7AMAQFR8muTJd/KzHPHnqLg0A2v2YhSvX9iUkwrajkvTFnJBwMFrcfg3Uj1nhC6ZOXnIzFEfstHVx1Vj+U5fHwYATPj1PADpeSwOIbuvYc1RDcNdBAGxyZlovzBM78SWRERERK8KBgaIyrFT0YmFF1KSKxewSymZnK6nzzpiBgZJTNee9FT5afuuS+pJ7jQl39NFuXRapnqPh8T0bByLSkBKpn6NU0Nf3xC+7oUP21L0tlAOoOh6z7QlgVQM31DWq6EbRv58BkPWnZL03NBk1M9ncO7eU8jlArxn7oX3zL1qQSXl19YVVPr898s6X+tlRMWn4rujtxG8+7paj5ecPAEtQw7iXmIGApYcVdtWLhewKfwerse+WC4GIiIiotLEwAAR6U31abO2LP5A/hPzovA4NUvruhylBqmmpIbZuXLsvxqHpAzdM6pokq2rN4Se7X3lwMB9pdkC9A0sAECNStYalyt3ty/s9ZWDAbp6DPx96RFm/HEZHtN2iYGWzJw8JKSpvwdGz4cXCAKQ9Ez3+T1wLQ59Vv6H20rJAs9EP9VYVwCo46I9L8QuHbMcKHuU/AwL9l5HTNKzwgs/l5RR8L48Ts2Cp9K519U7BsgfDvP5jsvovuRfvV+PiIiIqKxgYICI9KbaqMzRkWNg58UYrP339ku/pq5GeFYhjbWdFx/h/V/OYND34YhOSMeW0/e0ls3Nk0uGEuhqCCrnPdB3qsXjtwqSPH57MFJnvZVpS96Xlat5BgVlciG/fsr10LVdamYuNpzMP0djN50DAI1BAQCS4QApz6RP17XlhTit1ENlb4S0gX9baYiKp5PmYIghuiw6glWHb2HAmhN6b6PcO+XdteHoXr9geENhgYE5O68aXkkqF3QF44iIiMoKBgaISG+XHyZLfh/0vfZ55LPz5Phy1zVciUnWWkYfusbzz/7zis5tFVP0XXuUgo5fH8Zn27V3Q990Sho02HclVmtZ5d4EuoY6KLcHlA8jNTMXf5x/CABoVsiQAG09F5RnZNDlmcp4/mfZ2rdr4VFRbdk/WqZLTFEaaqE6lEBbnacrDQP4+YR0usXvjhYEkXQFWzSRywV8+fdV7Dj/QFyW8XzqyfuJ2nsMqL6Ocv6Ch0nPJEEp1WNSHLOu5Ji6CIKA74/eLvYpFwEg7EY8PKbtwtur/yv21yIpj2m7UPPz3RqnFyUiIipLXigwIJfLcfPmTRw7dgxHjx6V/COi19e/kdrnpNfmSszLjbnWNX79XqL2pIWGOhP9VPJ0fK6OJ8AJaQXBAF3JESU9C1TWTdxyARN+PY/WNR111kvb8asGabRRfhIPAE91DKswMZZGYX47+0BrI//ozYKkg0dVEhDO/CNCr7pp8yw7D2E34vEsu/BeEQBw5u5TrD12B5O2XNSchFLDe/Tb2QfwnL4bF+8nictUe8A8UboeUlVyTqRl5eLaoxTU+Hy3WrLCCB3vzX+3EpCelYs3VxzH/N3XxOSKxWn4j6cBAKdVhm9Q8VK+Fl/2M0FERFTcDJquEABOnjyJd955B3fv3lW72ZLJZMjL0+9Gjqi8e5qeDQcrU8iKet43PRn6VPZFXVBqeL2IT3+7VDQVKcRfF2NeaDtdwymUx81vP/tAbf1fF2PQz7eqzv2/bBZ+MxNp/PeE0pAGVaqJCT/ZdhEbRvoV+hqhe65Lft+m4VgNMe15z4JKNmbiMlNjzZ+TzJw8XLhf0OBNeZaDCtZmkjJLD0bhY38vybJPtl0EALy54jiiQ4MAANkqwyyUj2Pr6fuSdXlyAT2+zc8nELxbevw9lx3DNwMaoXfjKpLPd8iea/juiPrwGrlcEHM2qC5/lpMHa3OD/1RrdetxGmo62RTZ/ki794t4+lEiIqLiZHCPgQ8//BDNmjVDREQEEhMT8fTpU/FfYqJhGc6JyqvuS46iyRf74Tl9d6nVQVdyvaK0KVz7uP7XQW6eHB6OVhrXKccMHmpJgqcrgWNRyFIZclCtoqXWspq6xWuaWrCkKPfM0BWAMTMu+FOmKbHjNwduikM3AODuE83d95Vfo7mHdIhHZXsLye+5ct3v26QtF/H5DulTYk1BAQCIS9U8bWidmXtQb/Y+3HqsPZFndq4cHtN24ePN58Vlut6zjSfVP4/KT7an/56ffFK5R8jLOHLzMSb8el6sp8e0XYXOYvG6OHQ9XvK7x7Rd8J65p5Rqk+/B0wx4TNuF38/pH7xrHXIQHtN2oc6Mkq/7w6Rnheb3IFLIzMlDZBynkyV6UQYHBiIjIxEcHIy6devCwcEB9vb2kn9EL2LK1otY9M8Ng7cTBAH/Rj5+oazzuuTk5d/Etph/oEj3q3BdaR700mo4Z+oYa076y8jOg7GGp722FiZ69crQ1eAtCqrJBnXlJtA0leG643eKvE4vSlODVy4ISFcacqDa5V9h4pYLOHn7CSIeJqPDV4cl6x4l5wdtlINl1x9Jby6d7aSBAX0at7+euodD1+MKnaFDeTYEhQdPM8Rro8uiI5J1cSmZYmOp9vPG2p8XYpCUkY1Pt12E98y9+PZAfoJL1XOmmjtDMQb+0PU4PEnLwq/Pc20MWXdKUu7dtSfhMW2XQYEiQRAwdN0p/HUxRqwnADSa+4/e+3jdZObk/22Z8UfxTbupS9sFYQCAyVsv6r1NTHJ+4CorVy5+VkqCx7RdaBN6CF7/K5qAhCAIaLfwEAat0Z4bR0EuF8RAVlyK5sBdSdtw8i4az/unVIO1LyIzJw83DWysC4KA99aGY1khiXqPRyXAY9oucfiW98y96PrNUbRfGKZzuwNX43D4RrzOMq+Kn/+LlpyDsuJOQjo8pu2SzMik6kVz9FDxMTgw4Ofnh6ioqOKoC70GNoXfw8FrmpOVaeMxbRe2n3uAZYei1BI0CYKAB0+1f6l4Tt+NwT+cQuN5+4v0j6XiRiQ+NQuN5/2D3Dx5ofs/ezdR602TIAhYdfgW0rNy1cZAf75D9w1iWlaueIOy7cx9nWUN8efFh4UXokL1+PZf3Hqs/gQ6NVP9vdZE3+n3XpTqrAa6rmNNjV3/ui5FXqeilJ0rR4rScAtFj4HqFdV7cUz//TJ6LjumtrxVyCEA0pkHUrOkAYZUlZ4I0U/0y28x4qcz8F98BDditd8Y79ZwDSgacKou3E+CX/BBBH77Lzym7ZKsaz7/gDj84ZsDN7Fw73V4z9wrKaPouZKbJ5fclI346Qx8v1QPhL7/yxm8u/YkjkflD0HxnrkXHtN24YdjmgNG07Zfwoqw/HuEwT+c0ljmWU4e7iSk456e51Dh2wOReGvlca25J45F5jcSlJNQAvnX/P3EDPx54SE8pu3C3gjNiUV//i8azecf0PtmNSM7V2PZ5YciC80psOHkvUID2tq+P+49ycDEzeeRpnSNnr2biHP3DMshoW3GEWWqPUcUn5Xipvp50TffCAAsPRiJ/2n4u/r5jgjcT3yGE7efiH9Tuy4+omEPwASlHjh+wQf1fu3CxKVkiq+d/CxH7xkrEtKyMOOPCCRl5Kh9pjV5lp2HvRGxL9zb4vbjNHhM2yW+D+fvPYX/4iNa/374Lz4Cj2m71KaHFQQB3jP3ots3Rw0aWuM5fTeORSVg0f6b4vlSPZas3Dy8uzYcQP7wLeWcMLryD/1w7A5G/XIGw348rfN7uSzQ5+HC7L/ykzD3XHZMPFf6iIxL1XjPKggCrj1KeaFGe0pmDhbsvY74lEwxf047lSBN8rMcyOUC/otKQI3Pd+td35eVmyfHmehEBiMKYfDAxfHjx2PKlCmIjY1FgwYNYGpqKlnfsGHDIqscvVoG/xAuJqfrUd8VeyJi8ePw5uhUxxmCIIjd5q/MDUBUfBreXHFcbR8z/4jA4Jbu4h8f1T+AIX0aYFCL6oiKT4O/yh9075l7xbHCCsqve/2L7rBQmfv99uM0dF50BDvHtUU9NzukZubC3kp6TSdl5KCWyhOLa/O6w9KsYF/dlxwVewGcn9lVbYyzog4L9l7Htg9bqR23x7Rd+O3DVmj2PCu8IAji2OT6s/eJ5T797RLeblZN7RjH/3oefZpWQfjtRDG7e3RoEFYejsLZ6KdYO7SZWi6DWYVk9KeXl27AzWxxUe0xoG36Q01lAUiu8+LiZGuOx6mFN1I03SMduh4vmdFgRVgUHiVlqs3GAKDQGQBUbzwbV3MQc2QcUWkgffG3YdMTBizRnpy3nltBb7vkjBzs1xJcPXQ9DiN+yr+5jtTQC0G198nKw7fUygBAr2XH9Epe+cm2i9h/VXNdvvj7Kka08UDEwxT0Wp4fbJkRVBebn+diOHUnEceitCcrVdw0XpkboJZDISdPjtw8AZZmxvjglzP452oc3mzshj8v5OcB8Zm9F3dCCr7rVW8sJ225iMAGlZEnF2BlZqL2d+TDDWfx79ROcLAyha2FKerN2iv5rNb4fLfa3xJV4zadw9+X8gM6q99riu71KyM5IweN5unfG6LxvP2S14lJeobWofkN70VvN8KU53kwDk7pgJpONnhvbbjknP5xIQbRoUGS41e+ZrePaYUqDlZwfT4MRvXJXbMvD+CbAY0wactFrHy3KQIbVFaro2rPEWU5eXIYy2TYHfEI7Wo5qf3t1EeeXEBWbh6szEyQkZ2L+4nPUMfVFoN/CJeU+/lEND7sUFOyLDdPjs6LjqBv06piDpEz0YlYvP8mAMC7sh0Gt3QHoH6NKETGp0nybqwIi8JX+wzrvSiXC6jxef7f+NP/84eTrbnWsspBBk09ZxTXQ2ZOnuR+pZmGoJ2y/Icoz1C1giVkMhnqziq45gu7ljXtq/PzXkoBS44iOjQIb63Mn9FE031W8rMcsVdU69BDkvXK9d5/NQ5nohPRb/UJrHinKYIaFlxvM/64jA0n7+G/aZ3h5qB5uJvX//aI+9b0fqoGNtOzcjXmZ1H+7g5YchTnZnZF0y/247vBvhi9/qyk7LmZXVFR6X4udM91rD5yC2uHNEOXus5YciAS7Ws7wVdpdqF/Ix+LQdGzM/zx4/Fo/HDsDiLmBoi9C5XvTW8FB+JxahYuP0xGV5+CQPz12BR0X5Kfx+bSnG6ws1D/fG3V8rBob0QsPtyQfyzz3qyHIa08JOuPRyWIQRWFEW081XoIGnLtCIKAhnPyr+lVKn97FO9X9YpWGoM2ey4/Qg8N3z/3EzPEwELk/B44evMxRv58BvWr2OHv8e30rptcLkju490drXD3SQYuzu4Ge0vt31tP0rKQ/CwHNcpRXh6ZYGAGMiMj9U4GMplMbMgUd/LBFStW4KuvvkJsbCwaNWqEZcuWoUWLFlrLb9u2DTNnzkR0dDS8vLywYMECBAYGiusFQcDs2bPx/fffIykpCW3atMGqVavg5VWQqCoxMRHjx4/Hzp07YWRkhL59++Lbb7+FjY1+F0pKSgrs7e2RnJwMOzu7Fz/4UpSRnYvjUU/Q1ccFT9Ky8Cg5E/Wr2GPi5vPIE4Blg5po/cPbp2kV/H6u6J5O3woORM3PNY/N/zzQG8G7r6OFZ0VsHd0KXv/bLblZHtrKHTKZDAeuxeHfqZ00jvHvXs8Ve3VMVaeg+MLMkwtq9VGsy82TIyImBb01BEE0uRMSiF9O3BUjwFfmBqCeUmBAUabvqv8wtLUH3mxcRe9o6/5J7eHlYiv+XlJR2vKstosNbsbp7kZe3Fa92xRjNp4Tf3e2NUe8lkZ41QqWePBU+gRhTi8fzNExQ0NRcLQ2wxMd0z4qKDeWFBb2bYip218+QWV0aBA6fBWGu0pPsb1dbSXDforLtwMb483GVTBx83n8cUFzEsyIuQGSIOHroraLDf6Z1AEJaVmoZGOOU3cS0f+7E4Vup/iOHbjmBE7e1p7fyN7SVGcCzwOTO6gFmZVfQy4X8DDpGdotDMP2Ma3g654fvFX9/lQ0LgwVHRqE9SfvolFVe7yxXPvfCdUAgEKjqva4+EB3kGd6D2+09aqEoKXqvWVUX0MhTy7g0oMksUGo7PoX3bHtzH3MVAku3w4OlCTRVNT30JQOqGxvCQtTI8QkZ2LP5Ufo37ya2IgA8j8DH2++UGj9snPleJyWhTah+vVciA4NwqUHSTrPLQC87VsV7Wo7YcKv5zWujw4NkjSmetR3xTcDGsPC1Fjj+3J2hj8cbcw13h/o4uteAWfvFvT82PNxO2w/+wBrVXro3AkJ1Jqj6OcRLTBUJaCzbFATtKrpiJuxqXhnbTgGt3THlZhknLuXpHNfmkSHBiFPLoiNXNXjvxMSKD6IKOw+Y+e4tgjde03skQTo/kwaau4b9TC0tQeA/AczYdfjDf5O1xWMUPj67Ubo2zQ/2ayucreCA2FspLuMPq9nKNUGvr77VtQXyO/toghsqX7WgcK/i/Wl/OBNVz1PTu8iBj0VTkcnokEVe1iYGmPDybuY8UcEqjhYas3xpLyf1MwcNHj+nXR1XgCuxqSg3+qCv0WGBtjKEkPaoQYHBu7e1T0Xr7u7uyG7M8iWLVswZMgQrF69Gn5+fliyZAm2bduGGzduwNnZWa38f//9h/bt2yMkJAQ9e/bEpk2bsGDBApw7dw7169cHACxYsAAhISH4+eef4enpiZkzZ+Ly5cu4evUqLCzyL7gePXrg0aNH+O6775CTk4Phw4ejefPm2LRpk171fpUDA0/Ts/HnhYfF3jAoDsc+66S1O25RWDesmfj0TtV/0zrD3tJUrVFf2lzszBGXUviTWXp9fBpQR/IEzM7CBCkq4/DNTYyQlSvX+OR+eg9vhKjMOlDUKtmY69WtWZOFfRtiY/jdQhtHhdHU8NIVRClKc9+oh+gn6fjxeHSxv1ZZFtSgst5Da079rwt6LTv2yn+f9fOtit9echaPojagWTVseYlha8ZGMr27yBvixPTOJTaUQZWmp8mU/zRaU+/DG192R50ZhQ95KAk/Dm8uTtla3FQD8WXFiemdcT/xGTwqWcHR2tygYFXHOk54kpat1susVyM37Hw+m1NhjW9DXZkbgL0RsWoPAlTdCQlE6N7rWhP7FqUDk9vDf3F+z7/2tZ3wywjtD6XLmmINDJQmPz8/NG/eHMuXLwcAyOVyVKtWDePHj8e0adPUyg8YMADp6en4+++/xWUtW7ZE48aNsXr1agiCADc3N0yZMgWffPIJACA5ORkuLi746aefMHDgQFy7dg0+Pj44ffo0mjVrBgDYu3cvAgMD8eDBA7i5uRVa71clMGBoN0gievWYGRupzUhha26C1KxcjUEDBytTjcnxilIFK1M8fcHXGNzSHceiEgodJlCYyPk90GFhmJhojYiIiKgwZb03gSHtUIOTDwLArVu3MH78ePj7+8Pf3x8TJkzArVuaxzIWlezsbJw9exb+/v7iMiMjI/j7++PECc3dDk+cOCEpDwABAQFi+Tt37iA2NlZSxt7eHn5+fmKZEydOwMHBQQwKAIC/vz+MjIwQHi4dn6OQlZWFlJQUyb9XAYMCRK8/TdNUmprk/ynQlH+guIMCAJD7EjMzrD9596WDAgBQd+ZeBgWIiIjIIMXRQ6q0GBwY2LdvH3x8fHDq1Ck0bNgQDRs2RHh4OOrVq4f9+w0fX6evhIQE5OXlwcVFmiHbxcUFsbGax4PHxsbqLK/4v7AyqsMUTExMULFiRa2vGxISIpnCsVq1ahrLlTW9GhXe+4GIXj+mxvljBXUlJixO6dmapxgsSZqmaiQiIiLS5WkRT5lemgwODEybNg2TJk1CeHg4Fi9ejMWLFyM8PBwTJ07EZ599Vhx1fOVMnz4dycnJ4r/794tuirnitGxQE9wJCcTNL3vgTkhgme8aU5a1rumIBX0blHY19OLuqD6tG5UvpsYv1HmsyBRXm1wR8CAi/QxsXjQPMrZ80FLrurBPOhbJa1DpG9+5ltqyH4Y201Cy9Ez098Ksnj6lXQ0y0OSutQst8/XbjUqgJvksTKX3SZHze+D7Ic1wZoY/KlqZadnq1WPw3eC1a9cwcuRIteUjRozA1avFl6CuUqVKMDY2RlycdOqkuLg4uLq6atzG1dVVZ3nF/4WViY+Pl6zPzc1FYmKi1tc1NzeHnZ2d5N+rQiaTwczESMwoGx0ahOjQINStnH8MywY1gZdz/mwMq9/zFbeboscHuKhcmtNNr3KFBTZ2jmv7UvVQnJsdH7VWW7fp/ZYY0Ly6ZDoefSifUwBY8U5TtTITuhTMmPH3eP2PYXgbD7HOisBPdGgQjGSGN57sLAye6ZRKmeofNWWvTqYZwzi8Rn+sS0qrGo4vtF0NJ+sief3QPg0QHRqEk9O7GLSd4m+U6s+F+XdqJ7VlPw5vjqj5PTSWr1lEx6nM0Vr3dXonJFDnen18O7BxoWWiQ4MQ2reh+LfhRR8ObP6gJfx0XEeelaxfaN/nZnY16G9eUdqsJdCxb2J7rdt8N9hXfNhiCH0+S7eDtV8TF2dpvkeKnN8DF2d3w5W5ATg3syuiQ4Nw5NOOBtVNWXRoEKZ0qwMHlWkqu9R10bKFZp8Her9wHQqzdkgzTPSvjRFtPV9o++FtPHAnJBC9G+vuURvYwFWvz8yVuQHwrKT7/X2Zz542yvd8huw7OjQIxz7rhJ3j2kp6FSv2c2J6Z4zpWBN/j28LjyJ6yBQ1vweiQ4Mk97ra9POtKtZF+bvckODUT8Ob43ZwIG4pfaZufNldrdz1L/IfmkY+r5+psRG6+rigko252gwNrzKDAwNOTk64cOGC2vILFy5onBmgqJiZmcHX1xcHDxbMASuXy3Hw4EG0aqU+LzwAtGrVSlIeAPbv3y+W9/T0hKurq6RMSkoKwsPDxTKtWrVCUlISzp4tyEZ76NAhyOVy+Pn5FdnxlXV7Pm6H6NAg9Grkhv2TOyA6NAjd6xd8EY7X8QFWfHkoDHs+dYw2t4MD0b62E/zrar6e7CxM0bqm5psO1S++szMK8kf8+n5LyfoGVe0lN3k/DW+OAc2q6XUT9tPw5uLPTapXkKxTbsyveKep2v7e0DJko4VnRfGc/ju1E67OC9AYWJjctbZ4DPWr2OPYZ+o3tkB+BlWF4LcaYHaveuLvMqVgwIt8nzXzqGj4RlSqrM20B3NM9HiyXhwNouJmo2EO61fJwr4NJb+3KIHP3dhO0ieAyvNq6zKijScuz+mGjaP8cPp//rgyN0BnecVN3w9Dm+HirG44/T9//PZhKwxsUR0A4GpvgejQIESqNNCrVZTOcT6zpw+uzA3Ano/b4cKsrjg0pQP2fFz4/NYdajshOjQI1Sqq38x2quMME2MjRIcGSY7DxEiGfyZ1EH9X/vsCvHgD/swMf0lDz9hIhtvBgbj+RXdEhwZBJpMhOjQIi95uhF/fL2ig+rpX0Pv96dVQe8PGy9kGh6Z00LpemWojMDo0CFHze+Dk9C64+WUPXJjVFS2fBwWUr9/o0CD8Pb4trn9RcMOt/DfK1txE7GX3v8C68PNUv9YrWpuhfhV7hH+eHzSyMjNWa+SM7lBD/LlNLUetjWRl7Ws7AdAe8B7Uojpa1nCUBNb7NK2CnePaoo6rLQ5MLjh3Fa3NxEZYQD1X8WHLrgn6BzQOTekouVfRFAQwMpLhVnAgBjavphb0sVd5j6Z0rY3wz7vA1NgI9pamsDY3QcXnwSh3R2vJ/Qygfh2rfgZVG5dn/lfwOVg2qAkA4F2/6hqPTbnxVsXBEtGhQfigfU3J8RbWcFV9gKLNpvf94K/0+dC07/pV7NCnSRWt+5jdqx5kMhmWDGwiNpIVlAM4K98tqNNX/Qque8W1CgDjOtWCtbkJwj7piNNK50z5e0T5Xln5s3JtXv53geLYFz4P4C19fr5VqX5OZSoPgPT5XChUrWCFBlXtsWxQE7VzWNneEp9190b9KvbYWUjQTlPvEoWV7zYV922i1IOxjtIU26o9jSJU/sZUq2gl7qNLXRfJ9aTrb0LHOs4wMpLB2Egmljc3MZYECg4/f22ZTFbqPSyLm8GzEsybNw/ffPMNpk2bhtat85+UHj9+HAsWLMDkyZMxc+bMYqkokD9d4dChQ/Hdd9+hRYsWWLJkCbZu3Yrr16/DxcUFQ4YMQZUqVRASEgIgf7rCDh06IDQ0FEFBQdi8eTOCg4PVpisMDQ2VTFd46dIltekK4+LisHr1anG6wmbNmpWL6QoNoTwH6O3gQMhk0i8jQRCQnp0n3qz/dTEGtx+nYcmBSMl+lL90IuNSMf7X89jxURtxXlNlytOLbdHylEJxiat+MeqiOm3ZkgGNkZSRjWFtNEeds3PlqD1jj1r9xbqdvofPtl9GNx8XfN2/kWT+Zm3bKHx/9Dbm774GID+j/E0tT7IU7j3JQNUKlnpHMLsuPoLI+DS9yioE1HPBvitxhRekImNlZoyM7LwX3r56RSvcS8zQuK5DbSccuflY5/Zv+1bFtpeYVm1EG0+sO36n8IJFqLlHBZyOflp4wTJG1/fBf1EJeGdtQeLbXRPaFjo/vSFUpxm7FRyo19RWZ2b4o5KNuWTZxM3n8ceFGMmyTaP80LpWJYPq9N+tBOy+/Ahz36iPlGc5aPJFQT4jbefqr4sx4pz0mqbSUp4ru9mXB8TpMjt7O2PdMGlDaeymc7j0IAmHP+kkzumt8Pu5B5i89SImdPHC5K61ce1RCnp8+69ex9Woqj3+fMmeaymZOZK/J9rmpNc0HaeivK6/jarbnJzeBcG7r+GvizH4d2onjYEVQyw9GImIh8lYM0T6hO9+YgbaLSyYbljXddMy+CBiU/ITh94JCcS1R6m4GZeKNxq5wchIhpO3n2DgmpOSbd7xq47gt9SH+wmCgIzsPFibmyA2ORM5eXK9jnHdsTu4nZCGL3trH0IolwswMpKh09eHEZeSiavzuiM5Iwf2Vqbosugwbj1O1/g5AtTfB03XfUZ2LqyeB4DvJKSj09eH8efYNmhUzaHQ+j9Nz8bFB0noWMdZ7fWiQ4PQKuQgHiVnwrOStd5DQZIysrH59H2EKk13q+/Tak3X6u3gQPG+ZtiPp3D4hvRv1ur3fPHhhoKHeNpe6/Mdl7Ep/B6A/O87c5P874H0rFzUm70PLWtUxOYPND9wVJWTJy+0oSgIArJy5bAwVb+HfVmCIGj9vGfl5uHukwzUVmpca5KdK4fx84axQkpmDuwsTHVspZmm9w0oOM/Kn8VKNmZISMsW66vNvScZcLYzh4WpMfLkAvyCD+CLN+ujRwPDeuRevJ+EDSfvYvYb9WBjbgJBEAxqF7zKinW6QkEQsGTJEixatAgxMfl/8N3c3PDpp59iwoQJxX6Sly9fjq+++gqxsbFo3Lgxli5dKj6579ixIzw8PPDTTz+J5bdt24YZM2YgOjoaXl5eWLhwIQIDC6JAgiBg9uzZWLNmDZKSktC2bVusXLkStWsXdI1PTEzEuHHjsHPnThgZGaFv375YunQpbGxs9KpzeQkMvKjE9Gw0fX6jV9hNirZtaznbSKL2LysyLhVdv8mfr/TCrK5F3iVZ+cuzagVLHPuss47SwLcHIpGQloUvetcv0noAQMA3R3EjLtWgbYIaVsauS/rNN/4q8HC0QvQTzY3ml1XHxdbg86uJhakRMnOkyQENmS+8bmU7XHukeYaUrj4u2H9Vd6DnHb/q4s3Ui1jcvxEmb9U9J7EhOtZxUrsxVOXnWRHhdxKL7DVfxu3gQPz4XzS+3ncDz3I0B3i+HdgYXX1cxJt7bZS/P+6EBGLx/ptYdiiq0DrM7uWDuTuvYmynmpjStQ5qKDX4L8/pBhMjI1iaGWP0+jPYdyVO0vDT1DBRrYem725FGZ/Kdtitx5N8feyNeIQPN5zDbx+20tl7ae7OK/j93ENcmNUV03+/jM2n8/P9tKrhiF+VuobnyQUx+GHo3yBNtN0cq7r+RfciaSyoNuKA/Jtpe0tT9Fl1HAv7NYSve0VsCr+Hz3dcViur77713aaoaDouTQRBwOy/rmBQi+pah5HcT8xAWlYuzEyMcO9JBjp5F18P1+KQlZsnBuyUG8glSRHYMIRyw3V2Lx8M1/JwRdN2IXuuo6uPC5rr+IyrXiP6XDOCIGDDybuoV8UeTVV6fL6KFMfs7WqL9SP9UMHKVPLUvaQprhN93ov7iRlwsjUvlqAJFSjWwICy1NT8m11bW93RqPKOgQFSpfyFGTW/R6l+iXdfchTXY0smMPCyT51fVPBbDSQ3xKrqudnhSkzxTCt688seYm+SlyGTqecCsDE3QVqWfhn9fd0r4OxdzU/P9Xk/h7Ryxy8n7ur1WppEzA1A/dn79C7vZm+hdfrA0R1qYEJnL9RT2t+/UztJnjC+qCoOlnBzsNDa06CyvQUeKdXr24GN8fHmC4XuV3FjlJMnh9f/Cq4HRXBH3yd7gPrNcFpWrnhuV7zTFDWdrdF9yb+o6WQNGwtTXLyfJKmDtv3oovo9ER0ahCdpWfD98gBWvtsUgTqe3uTmyUv1Ow6QNlBuBQeqPfkvDrP/jMDPSp+Z6NAgZOfKMWbDWfT1rarznBkqIS1L45NmVYr3XN8AyNhN5yTfDSUZGFAEgHaOa4sGVe1L7HXp1fEkLQsrD9/CZ929YWbyenfxfhU9ScuCox7fS1S8DGmHvtSnyNbWlkEBohegGDu2uH+jUr9hfpEbZJMXvKl+0Zvxxf1fLvNsYfXVNf5eWS1n/XoJKTMzMUL3epoTlRpCUwjX3IAbobRM7QEEcz2uQRMj/V5rgpZxhBYmRrg4uxvOz+yq1350JYtqVcMRVipDi6pVtMLA5tXE5KiA4e9XdGgQjk/rjP8Fac9gfeRTaU6PDrWd8JaOMaqqVLud3no+llzfoAAA/DMpf2x2hefjSG3MTbDlg5ZYN6wZghpWhrerHaJDg3BwSkf8ObYNdnzUWm2cMADMCKoLAHr1RFIeP6roSuxoY47o0KBCG7il/R0HQBynHx0aVCJBAQCY2l09qZqZiRF+GNa8SIMCAPQKCgAF46z17RWxSCnr96p31ZPhFqfu9SuL+YCINHG0McfMnj4MCpRRDAq8evS6G27atCkOHjyIChUqoEmTJjr/oJw7d67IKkf0urIwVU+aVFpeZFYCM6Ub/aJ6UqtLZXvLwgvpUFj3Ryvzwrux9W9WFUYyGaIMzMcA5D/tV7VuWDOM+OmMwftSZki3zgrW2scLako++NPw5hj242mdZTSZ3K0Olmro1m5sJIO9pX5jFms4WaNjHSd8ueuaxvU25iYa/w6FPk92dv7eU6wIi8JX/RpJxqMr3A4OxO2EdNR0ssaxqAQM/uEUxikl3XPXMaZY9QbUwcoM3wxojG8GNMbBa3EY+fMZbHrfD+98H65lD/nJzo7efCxmWDe0G2VtF1u1p966ssCrJkhVGNWuBka1q6FxnSrT58n4SH/W5iao5WyDqPg0jYGZV4GFqTGi5veATCYrsYAKERGVDr0CA2+++SbMzc3Fn8tLsgai8uBl7/XMdUyDp+pFBy7pmo++ko25mDhMmbWZMdKfJ+szMZKhhUdFnIrWPN7cUqlh9laTKthx/qFaGRle/ERp+so0JLGPtiR6ZgY8ifVytsXJ25qPXzUp4er3mopJqBRetlGg798NReMzN0+utYxNIdNlNqleAWuHNte63shIJvYmaOflpNbg1TeAoUqRCRkAPuvujQV785NuqeY/+WVEC+TJhZc6p2ykvRqKMvdNaSkLPT6IiKj46RUYmD17tvjznDlziqsuRFQKXjbQZ6pnF3MAeo+HV6XrxnT5O03UMk4DwIcdamLR/psA8huCuqqpPJa9Q20n1K1si+Dd1yVldJ0mfceZK7M1IDBgqWWogyFBGUB7EEU5YOBka47u9dW7OZuWcENU13tu8TyL9JFPO2LV4VuSqThV7fioNab/fhmL+zeGZyVrWOhxzrT1xDBkPvIxHWti5eEoNK7moHFIAxv2REREVJYYHAauUaMGnjx5orY8KSkJNWro1yWRiMoO5faJtYYpIQvfXnsDRzGGWSEr98Wm29OVI0DbuuqOBd3BjQsJfiSkFjSWq1W0woGr8WplBEEaHGihNM/2m42lY8wHt3SX/K6pt4FMBvRsqN84Y23H2LZWJYN6DajObaygmMcbyE++p4mxUmSlsZbx8H9rmcdYVyN4pI5cAte/6I5TSvNAK1g/n/LU3dEaoX0bapzKVKFJ9QrYO7E9fNzsYGlm/EKBMMW4bEPHsV6eE4D1I/0Mfj0iIiKikmZwYCA6Ohp5eeo391lZWXjwoOSzjRPRy1FutFmZFzyZtjIz1po0T3lEgEzHt4i+45cLo6thqW1dk2oF46rlgoBhrT207kM5kV09Nzv4eugxhZHKsAj/ui7izx/7e+HPsW3EJJOaxpA7WJpi+TtN8d1g30JfStsxutpb4OjUTnoHGJxtNScCaqLU0L+qZXYG5RwDlWzUp+/cNMoP9atoThKma0rFWs42WhvcFqbGcLazkCxztDaDk5bjKCnHPstPQPhpQJ1SrQcRERFRUdEvFTeAv/76S/x53759sLcvuAHMy8vDwYMH4emp3/ykRFR2KD9BtTE3wePnT8/bezmhgrV6A1BVYU/jlb1ojgFd22nKln92hr9kLni5IKCSjYVaOQVbpTHrMhkwrlMt/Bv5GG80chOHFAgQoBxLlatUavk7TeA9M3+e6Uo25pIs4X2aVsH2cw/QvrYTRrTxwLPsPLHBG1DPFW1rVcKxqAQdx6j5HJsaGcHV3gJ/6zF1pABBLZO/gnLgIVvL2H7lOmjqJeJqX3B+FVPw6aNNzUr4e3xbdPvmKAa1qK6xzLmZXTFl6wX8L6guajmX/kw4VStYMREfERERvVb0Dgz07t0bQH4jYujQoZJ1pqam8PDwwKJFi4q0ckRU/JTbnMpPto2MtI+rV24TKzcSTY1lyMnT3iB8wbjA80a5ZqpP07v6uMDRxlySvE4mk+mcuk7SqJXJYG5ujL/HtwMAtVwDCo4qT80tTI21zg3euqYj/pnUHp6VrNWmq8vfVnfnLW09BgwZp56elYcD1wqGSJgZG4lBAOXduDtqzsivPOb/jcZu+OdqnGS9ZyVr8eeIOQG4EpOMfqtPaNxXHRdb3IhLBZA/W4KthRWuf9Fd6/SLFa3N8OPwFjqOruhtH9MKfVedwIg2DHgTERHR60/voQRyuRxyuRzVq1dHfHy8+LtcLkdWVhZu3LiBnj17FmddiagYKDfsLZUaqEYymdYZC5Qb6srt4Noutjg+rTMaVLHH4v75819/8WZ+Yrj9k9pDeMEuAzp7DCh1cf9usC+Wv9MEgHqj2cFKe+8HV7uCcfXakt6p5hgY1trz+f8e4jJt49dlMhlqu9hqDAoAwKye9SQNa1XatlPM1qBP1/oclZ4Ayo1w5WR7d59IZyhQUO4x4OFojYNTOuDsDH8MalENIX0aSI7d0swYzTwqatoNAODtZlWV6pEfjLIwfbHx/8XF170iokODMKuXT2lXhYiIiKjY6d1jQOHOnTvFUQ8iKiXKgQHl7vf5gYHCG2qqDfAqDpbYqZSEbnArDwxu5QHA8B4DAfVcEJucibqV7XS+/oVZXfE0I0fSuFZuZBZ2FO+2rI51x++ghpP2xrmgsp9WNR1xdoY/Kuox3KIw1R2tEPZJRwCAx7Rdauu19xjIb9zrE3CpZGOOL3rXx8w/IgDkz2igyLmoz/usHIAxNpKhplN+D4yQPg0L3VZVn6ZV8eWua3CwMjU4oR8RERERFT2DAwMAkJ6ejiNHjuDevXvIzs6WrJswYUKRVIyISoby02LloQTGRvoFBpTLFFZcW/vVSAZoGpL+3eBmEARB55NkY5kMDlZmOnsE6KpX+Odd4GJngbMz/GFjofsrMVdlmISjTckkwZMLAiZ08cLSg5GS5cqN9cJM9PdCTFLBtIyKJ/VA4XkijGTSMs9yXmx2CYWK1mY6hw4QERERUckyODBw/vx5BAYGIiMjA+np6ahYsSISEhJgZWUFZ2dnBgaIXjHKD6OVp33TGRSQ5Bgo+FnTtHzKsnM1J7Y79llnXLifhI82ngOQn/V+x0dt8vdZSKNVn14I2pLuAYDL8ySA+jTy07Jz9Xi1ovf7uYeIDg3C5K610XXxEUTGpwEoGErg7miNhLRsrduH9GkAByszPM3IEZeZqQwl6FTHCWE3HuPL3vXF5b0auWHnxRh82KGmZH+PkjIBzXkC9aZppgYiIiIiKh0GBwYmTZqEXr16YfXq1bC3t8fJkydhamqK9957Dx9//HFx1JGIipFyAODSgySl5eqZ9zUxZFz4idtP1Ja18KwINwdLuDkUjPPvVMcZ1SpqToKnSlc3+mk9vHElJgUdajvrXUdt3CtaoWMdZ+y69Ah9mlZ56f29KOX3SzGUILBBZZy9+1TrNoqhCJZKjXFTpd4GRjJg3bDmSEjLluQr+KpfQ7znVx2+7hWw9UzBdLRtajm+/IEQERERUZlhcGDgwoUL+O6772BkZARjY2NkZWWhRo0aWLhwIYYOHYo+ffoURz2JqJgoP/FXTjxnbCTTGhjI1TIV3YvkjlPuor5hpB+2nb2PzwPr6r29rtCF6pNuP8+KCL+TaFD9Vr/ni/1X4/B++xqwMDXGxdndYFfIkIOi1s3HRfxZeeiH6fOfB7d0R3JGNtrXdtI4E4AicaByPoSM7ILhAMZGMshkMrUkhhamxvCrkR8EUE44aWNu2PE3c69gUHkiIiIiKlkGD/A0NTWF0fOnVM7Ozrh37x4AwN7eHvfv3y/a2hFRsdM2ZEAmk2nNCTCweTUAQMsa0szzlx4k63ytptUdNLxOwc9tvSrh24FNUMGAhH66hgmo+vX9lrg0pxtqPk8yaKlHd/bu9V2xqH8jseu7vaVpiWfPb66U4V85kKPoCWBmYoTJ3eponQlAuZyC8iwD+hyP8rWg7zSJbzRyAwAsGdhYr/JEREREVDoMfuzVpEkTnD59Gl5eXujQoQNmzZqFhIQErF+/HvXr1y98B0RUpmjPJSBALmhe17pWJRz5tCMq21tqXK9NtYpWOHcvCUD+7AUPk56hR4PKBu1DIfitBkjPyjWoDkZGMthZmGLdsOZYvP8mxnSsWfhGZYByQ1z5Z23TGKoyMVIvF63cO0SvwIDyFJX6BQa+HdgYC/s1ZD4BIiIiojLO4B4DwcHBqFw5/0Z+/vz5qFChAsaMGYPHjx9jzZo1RV5BIipeym3GJQMaiz8nP8tBnlxzskAgP+Gd6lRzLna6E/gpP3XeOb4tfhreHO+20C+L3bYPW0l+f8evOt5vX0OvbVW5O1rj24FN4O2qfRrEskSupVGu75P7wsrpE18wdKpJIL+uDAoQERERlX0G9RgQBAHOzs5izwBnZ2fs3bu3WCpGRCVDuaFZv4q9+HOeXMA/V+OK7XUrWpuhYx39kwI296gIWwsTpGaWzswApUl5mkHlNr6+0xWaFBIYMHQoARERERG9XgzqMSAIAmrVqsVcAkSvEeWhBMrtxzw5kKQ0vZ0+tOQkFNV2sTFof6q+e88X5iZGCO3T4KX286rZE/FI/Fm527++QRLlAEJQw/weX0FKQzjuJ2aobaNK1+wPRERERPRqMygwYGRkBC8vLzx5oj7lGBG9mpQfOisHCfLkcrjaWRi0L3khkYFR7WpgfOda+P2j1gbtV6F1rUq4MjcAA/UcfvAq6tu0KgBpJn/lGQSU36MrD9WTPc7u5YMKVqbwVdpeOcfAineaImp+D8nsDLsvP0JhCgv6EBEREdGry+AcA6Ghofj0008RERFRHPUhohIm7TGgFBgQgOoVrQzal7bpDRUsTI0xpVsdNK3+4tPXmeiZcO9VNf+t+lg/sgXmvllPXGZqrDyDQEHZjt7qQzGGt/HEuZld0UBpWIhqjgETYyNJ/gh92vxdn0+Z6OFo2DVBRERERGWfwbMSDBkyBBkZGWjUqBHMzMxgaSnNCJ6YaNgc4URUupTHlys3OuVyAbk6kg9qUh7H/xc1C1NjtPNyQnxqQV4B5Sf+yo34GpWsNe5DJpNJpybUkIugfW0n/HkhBgBw+3F6ofWqVtEKp//nDztLg/9sEBEREVEZZ/Ad3pIlS4qhGkRUWpQfJhsZKQ8lEJBnYPfxXPY3LzLOtgXDOJSf+CsP19A1XaGZ0jpNsxLUdDI834OTre5ZJ4iIiIjo1WRwYGDo0KHFUQ8iKiXKwweMZdLAABPOlQ3K+QIszQqm/1OdLlKZuXKPAT2nNSQiIiKi8umFBuveunULM2bMwKBBgxAfHw8A2LNnD65cuVKklSOi4qfcS0AyK4EgcIq6UvZhh5qwNjPG/Lfqi8uUh37oavBbmBYEEDT1GFA20d/rJWpJRERERK86gwMDR44cQYMGDRAeHo7ff/8daWlpAICLFy9i9uzZRV5BIipeym1GmUqPgcKSCVLxmtbDG1fmdYetham4TLkXh/L7pcrcVLnHgPpXvfJ762Lg7BNERERE9HoxODAwbdo0fPnll9i/fz/MzMzE5Z07d8bJkyeLtHJEVPxkkukKC372drWFjXnBaCP/uvkZ8JtUd1DbR/d6rpL/qfQpDyXQ1GPAy9lW/JnxHyIiIqLyzeAcA5cvX8amTZvUljs7OyMhIaFIKkVEJUcG6XSF2z5shR3nH2J6D288Ts3CmA3n8FGnmuhYxxk7L8YgsEFltX0s6t8IPW9URqc66tPnUdHSd+YH5aEEmoYcKOctaO7x4tNHEhEREdGrz+DAgIODAx49egRPT0/J8vPnz6NKlSpFVjEiKnlGMhmae1REc4+KAABbC1Psm9ReXP9eS3eN21mbm6BnQ7cSqWN5l5Wr3xSShfUYcLEzh7erLTJz8lDL2fAZCoiIiIjo9WFwYGDgwIH47LPPsG3bNshkMsjlchw/fhyffPIJhgwZUhx1JKISInuhdKRUkuR6TglpbqLUY8BYPTAgk8mw5+N24s9EREREVH4Z3AwIDg6Gt7c3qlWrhrS0NPj4+KB9+/Zo3bo1ZsyYURx1JKISYsQGYpmXK9ezx4Cp7h4DQH5AgEEBIiIiIjK4x4CZmRm+//57zJw5ExEREUhLS0OTJk3g5cXprohedZzuvuzTs8MAzIx1z0pARERERKRgcGBAoXr16qhevXpR1oWIShl7DJR9efpGBpSYmTAwQERERETa6RUYmDx5st47XLx48QtXRpfExESMHz8eO3fuhJGREfr27Ytvv/0WNjbak2ZlZmZiypQp2Lx5M7KyshAQEICVK1fCxcVFLHPv3j2MGTMGYWFhsLGxwdChQxESEgITk/xTc/jwYXTq1Elt348ePYKrK6dmo1efdLpCBgbKOn0DAxWsC6aTtTYz1lGSiIiIiMo7vQID58+f12tnxTlW9d1338WjR4+wf/9+5OTkYPjw4fjggw80Tp2oMGnSJOzatQvbtm2Dvb09xo0bhz59+uD48eMAgLy8PAQFBcHV1RX//fcfHj16hCFDhsDU1BTBwcGSfd24cQN2dnbi787OnJaNXg/Kc9hzKEHZ17KGI7afewA7C91f3zWdbPBl7/qoVtGKeQSIiIiISCeZIAiG90stYdeuXYOPjw9Onz6NZs2aAQD27t2LwMBAPHjwAG5u6tOkJScnw8nJCZs2bUK/fv0AANevX0fdunVx4sQJtGzZEnv27EHPnj0RExMj9iJYvXo1PvvsMzx+/BhmZmZij4GnT5/CwcHhheqfkpICe3t7JCcnS4ILRGXBzD8isP7kXQDA7eBAGDE6UKalZOZg/Ym76NXQDdUdrUq7OkRERERURhnSDn3hgadRUVHYt28fnj17BgAozvjCiRMn4ODgIAYFAMDf3x9GRkYIDw/XuM3Zs2eRk5MDf39/cZm3tzeqV6+OEydOiPtt0KCBZGhBQEAAUlJScOXKFcn+GjdujMqVK6Nr165ijwNtsrKykJKSIvlHVFYJKPjs8sFy2WdnYYqxnWoxKEBERERERcbgwMCTJ0/QpUsX1K5dG4GBgXj06BEAYOTIkZgyZUqRVxAAYmNj1brum5iYoGLFioiNjdW6jZmZmdpTfhcXF3Gb2NhYSVBAsV6xDgAqV66M1atXY/v27di+fTuqVauGjh074ty5c1rrGxISAnt7e/FftWrVDDpeotLCLudEREREROWPwYGBSZMmwdTUFPfu3YOVVcETqwEDBmDv3r0G7WvatGniPNra/l2/ft3QKhapOnXqYPTo0fD19UXr1q2xbt06tG7dGt98843WbaZPn47k5GTx3/3790uwxkSGKfuDiYiIiIiIqDgZPF3hP//8g3379qFq1aqS5V5eXrh7965B+5oyZQqGDRums0yNGjXg6uqK+Ph4yfLc3FwkJiZqnRnA1dUV2dnZSEpKkvQaiIuLE7dxdXXFqVOnJNvFxcWJ67Rp0aIFjh07pnW9ubk5zM3NdR4XERERERERUVlgcGAgPT1d0lNAITEx0eDGsJOTE5ycnAot16pVKyQlJeHs2bPw9fUFABw6dAhyuRx+fn4at/H19YWpqSkOHjyIvn37AsifWeDevXto1aqVuN/58+cjPj5eHKqwf/9+2NnZwcfHR2t9Lly4gMqVKxt0rERERERERERlkcFDCdq1a4dffvlF/F0mk0Eul2PhwoXo1KlTkVZOoW7duujevTvef/99nDp1CsePH8e4ceMwcOBAcUaChw8fwtvbW+wBYG9vj5EjR2Ly5MkICwvD2bNnMXz4cLRq1QotW7YEAHTr1g0+Pj4YPHgwLl68iH379mHGjBkYO3asGORYsmQJ/vzzT0RFRSEiIgITJ07EoUOHMHbs2GI5ViIiIiIiIqKSZHCPgYULF6JLly44c+YMsrOzMXXqVFy5cgWJiYmFZut/GRs3bsS4cePQpUsXGBkZoW/fvli6dKm4PicnBzdu3EBGRoa47JtvvhHLZmVlISAgACtXrhTXGxsb4++//8aYMWPQqlUrWFtbY+jQoZg3b55YJjs7G1OmTMHDhw9hZWWFhg0b4sCBA8UWBCEiIiIiIiIqSTLhBeYZTE5OxvLly3Hx4kWkpaWhadOmGDt2LLvXa2HI/JFEJe3zHZexKfweACA6NKiUa0NEREREREXBkHaowT0GgPxu+v/73/9eqHJEVLZwVgIiIiIiovLN4BwDP/74I7Zt26a2fNu2bfj555+LpFJEREREREREVDIMDgyEhISgUqVKasudnZ0RHBxcJJUiIiIiIiIiopJhcGDg3r178PT0VFvu7u6Oe/fuFUmliIiIiIiIiKhkGBwYcHZ2xqVLl9SWX7x4EY6OjkVSKSIqSUwyQERERERUnhkcGBg0aBAmTJiAsLAw5OXlIS8vD4cOHcLHH3+MgQMHFkcdiYiIiIiIiKiYGDwrwRdffIHo6Gh06dIFJib5m8vlcgwZMoQ5BoiIiIiIiIheMQYHBszMzLBlyxZ8+eWXuHDhAiwtLdGgQQO4u7sXR/2IqJhxukIiIiIiovLN4MCAgpeXF7y8vIqyLkRUChgYICIiIiIq3wzOMdC3b18sWLBAbfnChQvx9ttvF0mliIiIiIiIiKhkGBwYOHr0KAIDA9WW9+jRA0ePHi2SShERERERERFRyTA4MJCWlgYzMzO15aampkhJSSmSShERERERERFRyTA4MNCgQQNs2bJFbfnmzZvh4+NTJJUiIiIiIiIiopJhcPLBmTNnok+fPrh16xY6d+4MADh48CB+/fVXbNu2rcgrSETFSwCzDxIRERERlWcGBwZ69eqFP/74A8HBwfjtt99gaWmJhg0b4sCBA+jQoUNx1JGIiIiIiIiIiskLTVcYFBSEoKAgteURERGoX7/+S1eKiEoOpyskIiIiIirfDM4xoCo1NRVr1qxBixYt0KhRo6KoExERERERERGVkBcODBw9ehRDhgxB5cqV8fXXX6Nz5844efJkUdaNiEoAOwwQEREREZVvBg0liI2NxU8//YQffvgBKSkp6N+/P7KysvDHH39wRgIiIiIiIiKiV5DePQZ69eqFOnXq4NKlS1iyZAliYmKwbNmy4qwbEZUAVzuL0q4CERERERGVIr17DOzZswcTJkzAmDFj4OXlVZx1IqISNKZjTTx4moHABpVLuypERERERFQK9O4xcOzYMaSmpsLX1xd+fn5Yvnw5EhISirNuRFQCrM1NsGRgE3Sr51raVSEiIiIiolKgd2CgZcuW+P777/Ho0SOMHj0amzdvhpubG+RyOfbv34/U1NTirCcRERERERERFQOZILz4LOY3btzADz/8gPXr1yMpKQldu3bFX3/9VZT1ey2kpKTA3t4eycnJsLOzK+3qEBERERER0WvOkHboC09XCAB16tTBwoUL8eDBA/z6668vsysiIiIiIiIiKgUv1WOA9MMeA0RERERERFSSDGmH6j0rAb04RewlJSWllGtCRERERERE5YGi/alPXwAGBkqAIjFjtWrVSrkmREREREREVJ6kpqbC3t5eZxkOJSgBcrkcMTExsLW1hUwmK+3q6JSSkoJq1arh/v37HPZAheL1QobiNUOG4jVDhuI1Q4biNUOGelWuGUEQkJqaCjc3NxgZ6U4vyB4DJcDIyAhVq1Yt7WoYxM7Orkxf5FS28HohQ/GaIUPxmiFD8ZohQ/GaIUO9CtdMYT0FFF5qVgIiIiIiIiIierUxMEBERERERERUjjEwQBLm5uaYPXs2zM3NS7sq9Arg9UKG4jVDhuI1Q4biNUOG4jVDhnodrxkmHyQiIiIiIiIqx9hjgIiIiIiIiKgcY2CAiIiIiIiIqBxjYICIiIiIiIioHGNggIiIiIiIiKgcY2CARCtWrICHhwcsLCzg5+eHU6dOlXaVqIw4evQoevXqBTc3N8hkMvzxxx+S9YIgYNasWahcuTIsLS3h7++PyMjI0qkslQkhISFo3rw5bG1t4ezsjN69e+PGjRuSMpmZmRg7diwcHR1hY2ODvn37Ii4urpRqTKVt1apVaNiwIezs7GBnZ4dWrVphz5494npeL6RLaGgoZDIZJk6cKC7jNUPK5syZA5lMJvnn7e0truf1Qpo8fPgQ7733HhwdHWFpaYkGDRrgzJkz4vrX6R6YgQECAGzZsgWTJ0/G7Nmzce7cOTRq1AgBAQGIj48v7apRGZCeno5GjRphxYoVGtcvXLgQS5cuxerVqxEeHg5ra2sEBAQgMzOzhGtKZcWRI0cwduxYnDx5Evv370dOTg66deuG9PR0scykSZOwc+dObNu2DUeOHEFMTAz69OlTirWm0lS1alWEhobi7NmzOHPmDDp37ow333wTV65cAcDrhbQ7ffo0vvvuOzRs2FCynNcMqapXrx4ePXok/jt27Ji4jtcLqXr69CnatGkDU1NT7NmzB1evXsWiRYtQoUIFscxrdQ8sEAmC0KJFC2Hs2LHi73l5eYKbm5sQEhJSirWisgiAsGPHDvF3uVwuuLq6Cl999ZW4LCkpSTA3Nxd+/fXXUqghlUXx8fECAOHIkSOCIORfI6ampsK2bdvEMteuXRMACCdOnCitalIZU6FCBWHt2rW8Xkir1NRUwcvLS9i/f7/QoUMH4eOPPxYEgd8xpG727NlCo0aNNK7j9UKafPbZZ0Lbtm21rn/d7oHZY4CQnZ2Ns2fPwt/fX1xmZGQEf39/nDhxohRrRq+CO3fuIDY2VnL92Nvbw8/Pj9cPiZKTkwEAFStWBACcPXsWOTk5kuvG29sb1atX53VDyMvLw+bNm5Geno5WrVrxeiGtxo4di6CgIMm1AfA7hjSLjIyEm5sbatSogXfffRf37t0DwOuFNPvrr7/QrFkzvP3223B2dkaTJk3w/fffi+tft3tgBgYICQkJyMvLg4uLi2S5i4sLYmNjS6lW9KpQXCO8fkgbuVyOiRMnok2bNqhfvz6A/OvGzMwMDg4OkrK8bsq3y5cvw8bGBubm5vjwww+xY8cO+Pj48HohjTZv3oxz584hJCREbR2vGVLl5+eHn376CXv37sWqVatw584dtGvXDqmpqbxeSKPbt29j1apV8PLywr59+zBmzBhMmDABP//8M4DX7x7YpLQrQEREr7exY8ciIiJCMpaTSJM6dergwoULSE5Oxm+//YahQ4fiyJEjpV0tKoPu37+Pjz/+GPv374eFhUVpV4deAT169BB/btiwIfz8/ODu7o6tW7fC0tKyFGtGZZVcLkezZs0QHBwMAGjSpAkiIiKwevVqDB06tJRrV/TYY4BQqVIlGBsbq2VejYuLg6uraynVil4VimuE1w9pMm7cOPz9998ICwtD1apVxeWurq7Izs5GUlKSpDyvm/LNzMwMtWrVgq+vL0JCQtCoUSN8++23vF5IzdmzZxEfH4+mTZvCxMQEJiYmOHLkCJYuXQoTExO4uLjwmiGdHBwcULt2bURFRfE7hjSqXLkyfHx8JMvq1q0rDkF53e6BGRggmJmZwdfXFwcPHhSXyeVyHDx4EK1atSrFmtGrwNPTE66urpLrJyUlBeHh4bx+yjFBEDBu3Djs2LEDhw4dgqenp2S9r68vTE1NJdfNjRs3cO/ePV43JJLL5cjKyuL1Qmq6dOmCy5cv48KFC+K/Zs2a4d133xV/5jVDuqSlpeHWrVuoXLkyv2NIozZt2qhNtXzz5k24u7sDeP3ugTmUgAAAkydPxtChQ9GsWTO0aNECS5YsQXp6OoYPH17aVaMyIC0tDVFRUeLvd+7cwYULF1CxYkVUr14dEydOxJdffgkvLy94enpi5syZcHNzQ+/evUuv0lSqxo4di02bNuHPP/+Era2tONbO3t4elpaWsLe3x8iRIzF58mRUrFgRdnZ2GD9+PFq1aoWWLVuWcu2pNEyfPh09evRA9erVkZqaik2bNuHw4cPYt28frxdSY2trK+YsUbC2toajo6O4nNcMKfvkk0/Qq1cvuLu7IyYmBrNnz4axsTEGDRrE7xjSaNKkSWjdujWCg4PRv39/nDp1CmvWrMGaNWsAADKZ7PW6By7taRGo7Fi2bJlQvXp1wczMTGjRooVw8uTJ0q4SlRFhYWECALV/Q4cOFQQhf7qWmTNnCi4uLoK5ubnQpUsX4caNG6VbaSpVmq4XAMKPP/4olnn27Jnw0UcfCRUqVBCsrKyEt956S3j06FHpVZpK1YgRIwR3d3fBzMxMcHJyErp06SL8888/4npeL1QY5ekKBYHXDEkNGDBAqFy5smBmZiZUqVJFGDBggBAVFSWu5/VCmuzcuVOoX7++YG5uLnh7ewtr1qyRrH+d7oFlgiAIpRSTICIiIiIiIqJSxhwDREREREREROUYAwNERERERERE5RgDA0RERERERETlGAMDREREREREROUYAwNERERERERE5RgDA0RERERERETlGAMDREREREREROUYAwNERERERERE5RgDA0RERFTkhg0bht69e5fa6w8ePBjBwcF6lR04cCAWLVpUzDUiIiIqu2SCIAilXQkiIiJ6dchkMp3rZ8+ejUmTJkEQBDg4OJRMpZRcvHgRnTt3xt27d2FjY1No+YiICLRv3x537tyBvb19CdSQiIiobGFggIiIiAwSGxsr/rxlyxbMmjULN27cEJfZ2Njo1SAvLqNGjYKJiQlWr16t9zbNmzfHsGHDMHbs2GKsGRERUdnEoQRERERkEFdXV/Gfvb09ZDKZZJmNjY3aUIKOHTti/PjxmDhxIipUqAAXFxd8//33SE9Px/Dhw2Fra4tatWphz549kteKiIhAjx49YGNjAxcXFwwePBgJCQla65aXl4fffvsNvXr1kixfuXIlvLy8YGFhARcXF/Tr10+yvlevXti8efPLnxwiIqJXEAMDREREVCJ+/vlnVKpUCadOncL48eMxZswYvP3222jdujXOnTuHbt26YfDgwcjIyAAAJCUloXPnzmjSpAnOnDmDvXv3Ii4uDv3799f6GpcuXUJycjKaNWsmLjtz5gwmTJiAefPm4caNG9i7dy/at28v2a5FixY4deoUsrKyiufgiYiIyjAGBoiIiKhENGrUCDNmzICXlxemT58OCwsLVKpUCe+//z68vLwwa9YsPHnyBJcuXQIALF++HE2aNEFwcDC8vb3RpEkTrFu3DmFhYbh586bG17h79y6MjY3h7OwsLrt37x6sra3Rs2dPuLu7o0mTJpgwYYJkOzc3N2RnZ0uGSRAREZUXDAwQERFRiWjYsKH4s7GxMRwdHdGgQQNxmYuLCwAgPj4eQH4SwbCwMDFngY2NDby9vQEAt27d0vgaz549g7m5uSRBYteuXeHu7o4aNWpg8ODB2Lhxo9grQcHS0hIA1JYTERGVBwwMEBERUYkwNTWV/C6TySTLFI15uVwOAEhLS0OvXr1w4cIFyb/IyEi1oQAKlSpVQkZGBrKzs8Vltra2OHfuHH799VdUrlwZs2bNQqNGjZCUlCSWSUxMBAA4OTkVybESERG9ShgYICIiojKpadOmuHLlCjw8PFCrVi3JP2tra43bNG7cGABw9epVyXITExP4+/tj4cKFuHTpEqKjo3Ho0CFxfUREBKpWrYpKlSoV2/EQERGVVQwMEBERUZk0duxYJCYmYtCgQTh9+jRu3bqFffv2Yfjw4cjLy9O4jZOTE5o2bYpjx46Jy/7++28sXboUFy5cwN27d/HLL79ALpejTp06Ypl///0X3bp1K/ZjIiIiKosYGCAiIqIyyc3NDcePH0deXh66deuGBg0aYOLEiXBwcICRkfZbmFGjRmHjxo3i7w4ODvj999/RuXNn1K1bF6tXr8avv/6KevXqAQAyMzPxxx9/4P333y/2YyIiIiqLZIIgCKVdCSIiIqKi8uzZM9SpUwdbtmxBq1atCi2/atUq7NixA//8808J1I6IiKjsYY8BIiIieq1YWlril19+QUJCgl7lTU1NsWzZsmKuFRERUdnFHgNERERERERE5Rh7DBARERERERGVYwwMEBEREREREZVjDAwQERERERERlWMMDBARERERERGVYwwMEBEREREREZVjDAwQERERERERlWMMDBARERERERGVYwwMEBEREREREZVjDAwQERERERERlWP/B0f1bJy4oluSAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "# To apply instrument response\n", + "tr_corrected = tr_trim.copy()\n", + "tr_corrected.remove_response(inventory=st_inv, output=\"ACC\") # Specify output units as velocity\n", + "\n", + "plt.figure(figsize=(12, 2))\n", + "plt.plot(tr_corrected.times(), tr_corrected.data)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Acceleration (m/s^2)\")\n", + "plt.title(\"Waveform After Instrument Response Removal\")" + ] + }, + { + "cell_type": "markdown", + "id": "ce45d432", + "metadata": {}, + "source": [ + "Next, we compute a spectrogram. A spectrogram shows how signal energy is distributed across frequency and time. This helps us choose a filter band: we can keep the frequency range where the earthquake signal is strong and reduce frequencies dominated by noise." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "bb2b88cd", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Spectrogram of Trimmed Waveform')" + ] + }, + "execution_count": 29, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from scipy import signal\n", + "import numpy as np\n", + "\n", + "# Sampling rate of the data\n", + "fs = tr_corrected.stats.sampling_rate\n", + "\n", + "# Set window size and overlap for the spectrogram\n", + "nperseg = 700\n", + "noverlap = nperseg - 10\n", + "\n", + "# Compute the spectrogram\n", + "f, t_spec, Sxx = signal.spectrogram(tr_corrected.data, fs=fs, nperseg=nperseg, noverlap=noverlap)\n", + "\n", + "# Adjust spectrogram time axis to match slice duration\n", + "t_spec = np.linspace(0, tr_corrected.times()[-1], Sxx.shape[1])\n", + "\n", + "plt.figure(figsize=(12, 2))\n", + "plt.pcolormesh(t_spec, f, np.abs(Sxx), shading='gouraud')\n", + "plt.ylim(0, 10)\n", + "plt.axhline(y=2, color='red', linestyle='--', linewidth=1)\n", + "plt.axhline(y=9, color='red', linestyle='--', linewidth=1)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Frequency (Hz)\")\n", + "plt.title(\"Spectrogram of Trimmed Waveform\")" + ] + }, + { + "cell_type": "markdown", + "id": "087d0335", + "metadata": {}, + "source": [ + "Below, we will do a bandpass filtering to remove frequency components outside the most prominent range." + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "558b9315", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "tr_filt = tr_corrected.copy()\n", + "\n", + "# Bandpass between 1 and 10 Hz, 4-pole Butterworth, zero-phase\n", + "tr_filt.detrend(\"demean\") # remove DC offset\n", + "tr_filt.detrend(\"linear\") # remove linear trend\n", + "tr_filt.taper(max_percentage=0.05, type=\"hann\") # taper the ends to zero\n", + "tr_filt.filter(\"bandpass\",\n", + " freqmin=2.0,\n", + " freqmax=9.0,\n", + " corners=4,\n", + " zerophase=True)\n", + "\n", + "plt.figure(figsize=(12, 2))\n", + "plt.plot(tr_filt.times(), tr_filt.data)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Acceleration (m/s^2)\")\n", + "plt.title(\"Filtered Waveform\")\n", + "plt.tight_layout()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "9a696bb8", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + 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b/tutorials/MVP1-SAGE/event_selection.json @@ -0,0 +1,8 @@ +{ + "event_time": "2018-11-19T11:09:13.130000Z", + "target_channel": "HN?", + "pre_event_seconds": 120, + "post_event_seconds": 480, + "start_time": "2018-11-19T11:07:13.130000Z", + "end_time": "2018-11-19T11:17:13.130000Z" +} \ No newline at end of file diff --git a/tutorials/MVP1-SAGE/station_dataframe.csv b/tutorials/MVP1-SAGE/station_dataframe.csv new file mode 100644 index 0000000..fb90e11 --- /dev/null +++ b/tutorials/MVP1-SAGE/station_dataframe.csv @@ -0,0 +1,17 @@ +network,station,start_date,latitude,longitude,elevation,channel,sample_rate,data_available +US,NLWA,2006-07-05T00:00:00.000000Z,47.3917,-123.8691,640.0,HNZ,200.0,True +UW,BILS,2015-03-30T00:00:00.000000Z,47.53966,-124.25138,62.0,HNZ,200.0,True +UW,BLN,1980-01-11T00:00:00.000000Z,48.006624,-122.972646,601.0,HNZ,200.0,True +UW,ERW,1997-12-01T00:00:00.000000Z,48.453827,-122.626121,387.0,HNZ,200.0,True 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-0.01454758 + -0.008042475 + 0.01433728 + 0.01472206 + -0.01187359 + -0.02208895 + 0.00645106 + 0.0296694 + 0.002871719 + -0.03692219 + -0.01777635 + 0.04329151 + 0.04248361 + -0.04826485 + -0.09280869 + 0.05142858 + 0.3137774 + 0.4474858 + + + 400.0 + 2 + 0 + 0.2775 + 0.2775 + + + 1.0 + 0.0 + + + + + + + From 178992db1b5473869d9d99a5edf2d0c3c27905cf Mon Sep 17 00:00:00 2001 From: Asif Ashraf Date: Mon, 29 Jun 2026 19:32:31 -0700 Subject: [PATCH 02/15] week 2.1 push --- tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb | 339 +++++++++++++++++++++-- 1 file changed, 311 insertions(+), 28 deletions(-) diff --git a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb index f4ec631..5de259a 100644 --- a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb +++ b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb @@ -24,7 +24,7 @@ }, { "cell_type": "code", - "execution_count": 36, + "execution_count": 1, "id": "b4440452", "metadata": {}, "outputs": [ @@ -295,7 +295,7 @@ "15 126.0 HNZ 200.0 True " ] }, - "execution_count": 36, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -324,7 +324,212 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 37, + "id": "cd74ccb5", + "metadata": {}, + "outputs": [], + "source": [ + "from obspy.clients.fdsn import Client\n", + "client = Client(\"https://service.earthscope.org\")" + ] + }, + { + "cell_type": "markdown", + "id": "8b1aec5d", + "metadata": {}, + "source": [ + "## **1. Data Inspection**" + ] + }, + { + "cell_type": "markdown", + "id": "f814a19f", + "metadata": {}, + "source": [ + "#### **1.1 Waveform inspection--Gaps/Overlaps**" + ] + }, + { + "cell_type": "markdown", + "id": "765d3bc1", + "metadata": {}, + "source": [ + "\n", + "When waveform data are requested using ObsPy, the returned object is a `Stream`. A `Stream` is a container that can hold one or more `Trace` objects. In many simple cases, a request for one station, one channel, and one time window returns a single continuous `Trace`. However, it is also common for the returned `Stream` to contain multiple `Trace` objects.\n", + "\n", + "Multiple traces inside one `Stream` do not automatically mean that something is wrong with the data. They simply indicate that the waveform was returned as separate segments. These segments may represent truly discontinuous data, but they may also be perfectly continuous in time and only separated internally by the data service.\n", + "\n", + "There are several possible reasons why a single waveform request may return multiple traces:\n", + "\n", + "- the waveform contains a real data gap,\n", + "- two waveform segments overlap in time,\n", + "- the waveform is split into adjacent but continuous time segments,\n", + "- there is a small timing break between packets,\n", + "- or the data service stores and returns the waveform in multiple pieces.\n", + "\n", + "Therefore, simply checking the number of traces using `len(st)` is only a first diagnostic step. A `Stream` with more than one trace may still have no actual gaps or overlaps. To determine whether the trace segments are truly discontinuous, we should use ObsPy’s built-in `get_gaps()` method.\n", + "\n", + "The `get_gaps()` method checks the timing relationship between adjacent traces in the `Stream`. It reports both gaps and overlaps. A positive time difference indicates a gap, while a negative time difference indicates an overlap. If `get_gaps()` returns an empty list, then ObsPy did not detect any gaps or overlaps, even if the `Stream` contains multiple traces.\n", + "\n", + "In the code below, we loop through each station in the dataframe, request waveform data for the selected time window, and then inspect the returned `Stream`. For each station, we print the number of traces retrieved and check whether ObsPy detects any gaps or overlaps. This allows us to distinguish between waveforms that are merely split into multiple continuous segments and waveforms that contain actual timing problems.\n", + "\n", + "This step is useful before merging, plotting, or applying further processing. If no gaps or overlaps are detected, the traces can usually be merged safely. If gaps or overlaps are detected, the waveform should be inspected more carefully before deciding how to handle missing or duplicated data." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "e1961696", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Station NLWA (US)\n", + "Retrieved 2 trace(s)\n", + " Trace 1: US.NLWA.20.HNZ, 2018-11-19T11:07:59.735000Z to 2018-11-19T11:09:06.510000Z, npts=13356, dt=0.005\n", + " Trace 2: US.NLWA.20.HNZ, 2018-11-19T11:09:06.515000Z to 2018-11-19T11:11:28.110000Z, npts=28320, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station BILS (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.BILS..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station BLN (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.BLN..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station ERW (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.ERW..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station HURR (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.HURR..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station LWCK (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.LWCK..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station MAC (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.MAC..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station OOW2 (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.OOW2..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station QCDG (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.QCDG.01.HNZ, 2018-11-19T11:08:29.940000Z to 2018-11-19T11:12:31.995000Z, npts=48412, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station QCEN (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.QCEN.01.HNZ, 2018-11-19T11:08:38.920000Z to 2018-11-19T11:12:41.115000Z, npts=48440, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station QCMM (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.QCMM.01.HNZ, 2018-11-19T11:08:28.240000Z to 2018-11-19T11:12:30.705000Z, npts=48494, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station QFRZ (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.QFRZ.01.HNZ, 2018-11-19T11:08:29.495000Z to 2018-11-19T11:12:30.600000Z, npts=48222, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station QOCL (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.QOCL.01.HNZ, 2018-11-19T11:08:28.950000Z to 2018-11-19T11:12:31.085000Z, npts=48428, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station QSKT (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.QSKT.01.HNZ, 2018-11-19T11:08:29.670000Z to 2018-11-19T11:12:31.575000Z, npts=48382, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station QTNB (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.QTNB.01.HNZ, 2018-11-19T11:08:28.420000Z to 2018-11-19T11:12:31.105000Z, npts=48538, dt=0.005\n", + "No gaps or overlaps detected.\n", + "\n", + "Station UPL (UW)\n", + "Retrieved 1 trace(s)\n", + " Trace 1: UW.UPL..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", + "No gaps or overlaps detected.\n" + ] + } + ], + "source": [ + "# Retrieve waveform data for each station in the DataFrame and store information data gaps\n", + "gaps_info = [] # Initialize an empty list to store gap information\n", + "for i in range(len(df)):\n", + "\n", + " # 1. go through each row in the DataFrame\n", + " row_number = i \n", + "\n", + " # 2. Retrieve the station and network codes from the DataFrame\n", + " station = df.iloc[row_number].station\n", + " network = df.iloc[row_number].network\n", + " \n", + " # 3. Retrieve the waveform data for the specified station and channel\n", + " st = client.get_waveforms(\n", + " network=network,\n", + " station=station,\n", + " location=\"*\",\n", + " channel=\"HNZ\",\n", + " starttime=t1,\n", + " endtime=t2\n", + " )\n", + "\n", + " # 4. Sort the traces in the stream by start time\n", + " st.sort() \n", + "\n", + " print(f\"\\nStation {station} ({network})\")\n", + " print(f\"Retrieved {len(st)} trace(s)\")\n", + "\n", + " # 5. Print the details of each trace in the stream\n", + " for j, tr in enumerate(st):\n", + " print(\n", + " f\" Trace {j+1}: {tr.id}, \" # 5.1 Print the trace ID\n", + " f\"{tr.stats.starttime} to {tr.stats.endtime}, \" # 5.2 Print the start and end times of the trace\n", + " f\"npts={tr.stats.npts}, \" # 5.3 Print the number of points in the trace\n", + " f\"dt={tr.stats.delta}\" # 5.4 Print the sample interval of the trace\n", + " )\n", + "\n", + " # 6. Check for gaps in the stream\n", + " gaps = st.get_gaps()\n", + " if not gaps:\n", + " print(\"No gaps or overlaps detected.\")\n", + " gaps_info.append(False) # Append False to the gaps list if no gaps are detected\n", + " else:\n", + " print(\"Gaps/overlaps detected:\")\n", + " gaps_info.append(True) # Append True to the gaps list if gaps are detected\n", + " for gap in gaps:\n", + " print(gap)" + ] + }, + { + "cell_type": "markdown", + "id": "57577cd8", + "metadata": {}, + "source": [ + "In the next code snippet you can plot seismic traces using information from the station dataframe for visual inspection. You should at least visualize the station for which you received mutiple traces to get a better idea of the data segmentation." + ] + }, + { + "cell_type": "code", + "execution_count": 42, "id": "f13d54e8", "metadata": {}, "outputs": [ @@ -332,27 +537,14 @@ "name": "stdout", "output_type": "stream", "text": [ - " network: US\n", - " station: NLWA\n", - " location: 20\n", - " channel: HNZ\n", - " starttime: 2018-11-19T11:07:59.735000Z\n", - " endtime: 2018-11-19T11:11:28.110000Z\n", - " sampling_rate: 200.0\n", - " delta: 0.005\n", - " npts: 41676\n", - " calib: 1.0\n", - "_fdsnws_dataselect_url: https://service.earthscope.org/fdsnws/dataselect/1/query\n", - " _format: MSEED\n", - " mseed: AttribDict({'dataquality': 'M', 'number_of_records': 19, 'encoding': 'STEIM2', 'byteorder': '>', 'record_length': 512, 'filesize': 33792})\n", - " processing: ['ObsPy 1.4.2: trim(endtime=UTCDateTime(2018, 11, 19, 11, 17, 13, 130000)::fill_value=None::nearest_sample=True::pad=False::starttime=UTCDateTime(2018, 11, 19, 11, 7, 13, 130000))']\n" + "Retrieved 2 traces for station NLWA (US)\n" ] }, { "data": { - "image/png": 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", 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fPoyCggKMHTsWFhbFVefIkSPh4uKi9HSQra0t58PT8vr06QNXV1f2t+yjygMHDoSVlRVnekFBAe/oV9qQvXYl/4SKfNrm5ubi2bNnaNasGRiGwZUrVwSFKx/Gy5cvkZ2djZYtW+Ly5cs6xVOfaVxStWrVQkJCAgYOHIi0tDQsWrQIPXr0gLe3N3777TetwoqKikJ0dHSJnpZydnZGeHg4ey49e/YMSUlJ7LnUvHlz9ly6c+cOMjMzeV/d69y5M5ydnQEAVatWRUREhOBX+OQ9ffoUAwYMQHBwML755ht2umz/bG1tldaxs7PjLKNOkyZNcOjQIaV/c+fOVbteSEgIBg0ahJUrV+Lx48cat5OXl8c+sbNly5ZSe/Wqd+/e8PT05EyztLRkvyslkUjw4sULFBYWomHDhpxzatu2bRCJRLyjQMpery1peSdP2zQV6sMPP2T/trS0RMOGDcEwDEaMGMFOr1ChAqpXr847cuPgwYPZvAxIv6lXqVIl7Nu3DwCQkJCAu3fvYsCAAXj+/DmbBrm5uWjbti1OnjzJeX0ckH4DTNHQoUPBMIzS6JyEEEL0hzqlCCGEGIRIJEKzZs3Yb0edOXMGXl5e7MhX8p1SfN/AOXPmDNq1awdHR0dUqFABnp6e7HeD5F/j6devHx4+fIhz584BkH4PKD4+Hv369WOXuXv3LhiGQdWqVeHp6cn5d/v2bY0fr75//z4AoHr16pzpNjY2CAkJYefL+Pn5qfxwsayjTEbWQaU4Op5s+suXL9XGTZPXr18DAOcC7sGDBxg6dCjc3d3h5OQET09P9oPXQr6dAgB79uxB06ZNYWdnB3d3d3h6emLZsmWC11ekzzTWheIodNWqVcO6devw7NkzXLt2jX1FcdSoUTh8+LBWYU+bNg0ZGRlYvny5zvFr0aIF++2os2fPwtLSEk2bNgUgPZfi4+ORn5/Pey7dvn0bV65cQfPmzZGcnMz+a926Nfbs2YOcnBzB8cjNzUWXLl3w6tUr/O9//+N8a0rWqZOfn6+0Xl5eHmcZdSpWrIh27dop/YuIiNC47uTJk1FYWCjo21Jjx47FtWvXsHDhQtSqVUvj8vqi6ptVf/zxB8LDw2FnZwcPDw94enpi7969nHMqJSUFvr6+cHd3Vxl+Scs7RdqkqVB85aCdnR3ndVDZdL4ysGrVqpzfIpEIVapUQVpaGgBpGgDAkCFDlNJg1apVyM/PVyqrDPUtMUIIIerR6HuEEEIMpkWLFti9ezeuX7/Ofk9KplmzZvj666+Rnp6O06dPw9fXl/1oeUpKCtq2bYuwsDDMnz8f/v7+sLGxwb59+7BgwQLOHe6uXbvCwcEBf/31F5o1a4a//voLFhYW6NOnD7uMRCKBSCTCP//8A0tLS6V46nuYdnUX3nzbVzdd/gkwXci+2yXrDCwqKkL79u3x4sULfPvttwgLC4OjoyPS09MxdOhQpacH+Jw6dQrdunVDVFQUli5dikqVKsHa2hpr167Fxo0bSxRfobR5qsXOzg75+flgGEap84lhGOTl5bFP8iiytLREnTp1UKdOHURGRiI6OhobNmzgjDinSVRUFFq3bo2ff/6Z92kMIVq0aIHFixfjzJkzOHv2LOrUqcPm22bNmiE/Px+XLl3C6dOnYWVlxXZYAdIPXgPAF198gS+++EIp7G3btgl66qygoAC9evXCtWvXcODAAdSuXZsz393dHba2trxP1MimGXoUN9lodytXrsT48eNVLrd161asWLECffv2xahRowwaJ0V8eXf9+vUYOnQoevToga+//hpeXl6wtLTEzJkzkZKSolX4+i7vNKWp4jklU1RUpDJMvnjpswyUlWNz5sxBvXr1eJdRTAf6SDkhhBgHdUoRQggxGPkPNJ85cwZjx45l50VERMDW1hbHjx/HhQsXEBsby87bvXs38vPzsWvXLs4ddb7XThwdHdGlSxds3boV8+fPx5YtW9CyZUvOxW9oaCgYhkFwcDCqVaum9X7IRmFLSkrijPZXUFCAe/fuadVBUdpkHyfv2LEjAOD69eu4c+cO/vjjD86HzeVH55NRdbG5bds22NnZ4cCBA5xXtdauXatzPA2ZxoGBgSgsLERKSgrbOSeTnJyMoqIi3pH2FMk+4K3La0zTpk1D69atsWLFCq3XBbjn0rlz59hRKgFpR09gYCDOnDmDM2fOoH79+nBwcAAgvaDfuHEjoqOj8emnnyqF+/3332PDhg0aO6UkEgkGDx6MI0eO4K+//mKfrJNnYWGBOnXqKI0CB0hHQQsJCeE8sWcokydPxvr16zF79mze+ampqRg5ciSCg4OxcuVKg8dHiL///hshISHYvn0757xTfE0vNDQUBw4cwIsXL1Q+LVXS8o6PujR1c3MDAKUPqCs+3ahPsiehZBiGQXJyMsLDwwFI0wCQvuJtyuUzIYQQen2PEEKIATVs2BB2dnbYsGED0tPTOU9K2draokGDBliyZAlyc3M5rxvJ7pjL3yHPzs5W2enRr18/PHr0CKtWrcLVq1c5r+4BQK9evWBpaYnp06cr3XVnGAbPnz9Xux/t2rWDjY0NfvnlF876q1evRnZ2Njp37qwhJYxj48aNWLVqFSIjI9G2bVsA/GnLMAwWLVqktL6joyMA5YtNS0tLiEQizpMQaWlp2Llzp85xNWQad+rUCQDw66+/Ks2TjeYoWwaQPgmmONofAPZ7NfKvGD5+/BiJiYm8y8tr1aoVO7Ka7FU2bfj6+iI4OBhHjhzBv//+yzmXAOnTUjt37kRSUpLSa7BpaWkYNmwY3nvvPaV//fr1w7Fjx9jR1bKzs5GYmKj0atOYMWOwZcsWLF26lB0tkc97772HS5cucTqmkpKScPToUc7TiwCQmJiIBw8eaJ0WmoSGhmLgwIFYsWIFMjIyOPPEYjH69++PN2/eYNOmTZzvuxkT33l54cIF9rVkmd69e4NhGEyfPl0pDNm6JS3v+KhLUxcXF1SsWFFplLylS5dqvR2h/vzzT8538v7++288fvyYPY8jIiIQGhqKuXPnsq8wy8vMzBS0HVXnAyGEEP2hJ6UIIYQYjI2NDRo1aoRTp07B1tZW6ZswzZo1w7x58wBwv4HToUMH2NjYoGvXrvjoo4/w+vVr/Pbbb/Dy8uJ9SiU2NhbOzs746quvYGlpid69e3Pmh4aG4ocffsCECROQlpaGHj16wNnZGffu3cOOHTswatQofPXVVyr3w9PTExMmTMD06dMRExODbt26ISkpCUuXLkWjRo0wcODAkiSTXvz9999wcnJiP45+4MABnDlzBnXr1sXWrVvZ5cLCwhAaGoqvvvoK6enpcHFxwbZt23i/2yI7Xp999hk6duwIS0tL9O/fH507d8b8+fMRExODAQMG4OnTp1iyZAmqVKmCa9eu6RR/Q6ZxvXr18OGHH2LRokW4e/cu2rdvD0D6dNi+ffvw4Ycfom7duuzys2fPRnx8PHr16sU+eXH58mX8+eefcHd35zzxN2HCBPzxxx+4d+8egoKC1MZj6tSpiI6OVjn/33//xQ8//KA0vXXr1mjRogVatGjBPvkm/6QUID2XNm3aBIB7Lm3YsAGWlpYqO/W6deuGSZMmYfPmzRg3bhx27NiBYcOGYe3atezHnRcuXIilS5ciMjISDg4O7OuAMj179mQ7MD/99FP89ttv6Ny5M7766itYW1tj/vz58Pb2xpdffslZr0aNGmjVqhWOHz+uMk10NWnSJKxbtw5JSUmc70V99913uHTpEtq0aYO7d+8qPXHDt0+loUuXLti+fTt69uyJzp074969e1i+fDlq1qzJ6VSJjo7GoEGD8Msvv+Du3buIiYmBRCLBqVOnEB0djdGjR5e4vFNFVZoC0g+Xz5o1Cx9++CEaNmyIkydP4s6dOyVOF1Xc3d3RokULDBs2DE+ePMHChQtRpUoVjBw5EoD0qb1Vq1ahU6dOqFWrFoYNGwY/Pz+kp6fj2LFjcHFxwe7duzVuh+98UOX+/fvs+SnrlJWdz4GBgRg0aFAJ9pgQQsqw0hrmjxBCSPk0YcIEBgDTrFkzpXnbt29nADDOzs5MYWEhZ96uXbuY8PBwxs7OjgkKCmJmz57NrFmzhgHA3Lt3TymsDz74gAHAtGvXTmVctm3bxrRo0YJxdHRkHB0dmbCwMCYuLo5JSkpil5END56Zmam0/q+//sqEhYUx1tbWjLe3N/PJJ58wL1++5Cyjagh62bDpc+bM4UxXNSy4/LDs6sjiK/tnZ2fHVK5cmenSpQuzZs0aJi8vT2mdW7duMe3atWOcnJyYihUrMiNHjmSuXr2qNPR5YWEhM2bMGMbT05MRiUScIc5Xr17NVK1albG1tWXCwsKYtWvXsnHRxFBprE5RURGzaNEipm7duoydnR1jZ2fH1K1bl/nll1+YoqIizrJnzpxh4uLimNq1azOurq6MtbU1ExAQwAwdOpRJSUnhLDtkyBClPKlu/1q1asUAYDp37syZLn8MFf99//33DMMwzIoVKxgAjJ+fn1K4ly9fZpd/8uQJwzAMU1BQwHh4eDAtW7ZUmzbBwcFM/fr1GYYpznfy+UC2j6r+KZ6PDx8+ZN577z3GxcWFcXJyYrp06cLcvXtXabsAmFatWnGmBQYGKqWNDN+5ou48kcVbPq/I0l/TP74yRkZoPnd0dGSGDBnC/lZVBjAMw0gkEuann35iAgMDGVtbW6Z+/frMnj17mCFDhjCBgYGcZQsLC5k5c+YwYWFhjI2NDePp6cl06tSJiY+P5ywnpLzjo22aMgzDvHnzhhkxYgTj6urKODs7M3379mWePn3KAGCmTp3KLqfq3BgyZAjj6OiotD3Fc12WBzZt2sRMmDCB8fLyYuzt7ZnOnTsz9+/fV1r/ypUrTK9evRgPDw/G1taWCQwMZPr27cscOXJEY5zk00L+fFBFFje+f4r5XH55xbKfEELKGxHDlPALqoQQQgghhJQT06ZNw/Tp05GZmQmRSAQPDw9jR4mYkaKiIrx8+RJnzpxBjx49sHXrVrz33nvGjhYhhBgNvb5HCCGEEEKIljw9PeHo6Mj7zSJCVLl+/Trq169v7GgQQojJoCelCCGEEEIIESg1NRWpqakAACsrK7Ru3dq4ESJm5fXr1zh//jz7Ozw8HF5eXkaMESGEGBd1ShFCCCGEEEIIIYSQUmdh7AgIkZaWhhEjRiA4OBj29vYIDQ3F1KlTUVBQwFnu2rVraNmyJezs7ODv74+ff/6ZM18sFmPGjBkIDQ2FnZ0d6tati/3793OWmTlzJho1agRnZ2d4eXmhR48eSEpK4iyTl5eHuLg4eHh4wMnJCb1798aTJ08Ms/OEEEIIIYQQQgghZZBZdEolJiZCIpFgxYoVuHnzJhYsWIDly5dj4sSJ7DI5OTno0KEDAgMDER8fjzlz5mDatGlYuXIlu8zkyZOxYsUKLF68GLdu3cLHH3+Mnj174sqVK+wyJ06cQFxcHM6fP49Dhw5BLBajQ4cOyM3NZZf54osvsHv3bmzduhUnTpzAo0eP0KtXr9JJDEIIIYQQQgghhJAywGxf35szZw6WLVvGvtO/bNkyTJo0CRkZGbCxsQEAjB8/Hjt37kRiYiIAwNfXF5MmTUJcXBwbTu/evWFvb4/169fzbiczMxNeXl44ceIEoqKikJ2dDU9PT2zcuJEdKSMxMRE1atTAuXPn0LRpU0PuNiGEEEIIIYQQQkiZYLaj72VnZ8Pd3Z39fe7cOURFRbEdUgDQsWNHzJ49Gy9fvoSbmxvy8/NhZ2fHCcfe3h6nT59Wux0A7Lbi4+MhFovRrl07dpmwsDAEBASo7ZTKz89Hfn4++1sikeDFixfw8PCASCTSYs8JIYQQQgghhBBCTBfDMHj16hV8fX1hYaH6JT2z7JRKTk7G4sWLMXfuXHZaRkYGgoODOct5e3uz89zc3NCxY0fMnz8fUVFRCA0NxZEjR7B9+3YUFRXxbkcikWDs2LFo3rw5ateuzYZlY2ODChUqKG0rIyNDZZxnzpyJ6dOn67K7hBBCCCGEEEIIIWbn4cOHqFy5ssr5Ru2UGj9+PGbPnq12mdu3byMsLIz9nZ6ejpiYGPTp0wcjR47UanuLFi3CyJEjERYWBpFIhNDQUAwbNgxr1qzhXT4uLg43btxQ+ySVUBMmTMC4cePY39nZ2QgICMC9e/fg7Oxc4vBNgVgsxrFjxxAdHQ1ra2tjR4eYOcpPRJ8oPxF9obxE9InyE9Enyk9EXygvEX149eoVgoODNfZ3GLVT6ssvv8TQoUPVLhMSEsL+/ejRI0RHR6NZs2acD5gDgI+Pj9IIeLLfPj4+AABPT0/s3LkTeXl5eP78OXx9fTF+/HjONmRGjx6NPXv24OTJk5xePR8fHxQUFCArK4vztNSTJ0/Y7fCxtbWFra2t0nR3d3e4uLioSQHzIRaL4eDgAA8PDyq8SIlRfiL6RPmJ6AvlJaJPlJ+IPlF+IvpCeYnogyzvaPpckVE7pTw9PeHp6Slo2fT0dERHRyMiIgJr165VeicxMjISkyZNglgsZnf+0KFDqF69Otzc3DjL2tnZwc/PD2KxGNu2bUPfvn3ZeQzDYMyYMdixYweOHz+u9EpgREQErK2tceTIEfTu3RsAkJSUhAcPHiAyMlLrNCCEEEIIIYQQQggpj1R/bcqEpKeno3Xr1ggICMDcuXORmZmJjIwMzjecBgwYABsbG4wYMQI3b97Eli1bsGjRIs4rcxcuXMD27duRmpqKU6dOISYmBhKJBN988w27TFxcHNavX4+NGzfC2dmZ3c7bt28BAK6urhgxYgTGjRuHY8eOIT4+HsOGDUNkZCSNvEcIIYQQQgghhBAikFl86PzQoUNITk5GcnKy0geyGIYBIO0sOnjwIOLi4hAREYGKFStiypQpGDVqFLtsXl4eJk+ejNTUVDg5OSE2Nhbr1q3jvIa3bNkyAEDr1q0521m7di37quGCBQtgYWGB3r17Iz8/Hx07dsTSpUv1v+OEEEIIIYQQQgghZZRZdEoNHTpU47enACA8PBynTp1SOb9Vq1a4deuW2jBknVzq2NnZYcmSJViyZInGZQkhhBBCCCGEEEKIMrN4fY+Q0vT0VR7Gbr6C+PsvjB0VQgghhBBCCCGkzKJOKUIUTNh2HTsTHqH3snPGjgohhBBCCCGEEFJmUacUIQrSnucaOwqEEEIIIYQQQkiZR51ShBBCCCGEEEIIIaTUUacUIYQQQgghhBBCCCl11ClFCCGEEEIIIYQQQkoddUoRQgghhBBCCCGEkFJHnVKEKBCJRMaOAiGEEEIIIYQQUuZRpxQhhBAlN9KzMerPf5GS+drYUSGEEEIIMVniIgm+2JKAv/59aOyoCFIkYfDV1qvYeOGBsaNCCADqlCKEEMKjy+LTOHjrCYasuWjsqBBCCCGEmKwdV9Kx40o6vvn7mrGjIsj+Gxn4O/4/TNxx3dhRIQQAdUoRQghR47+Xb40dBUIIIYQQk5X9RmzsKGglJ8+84kvKPuqUIoQQQgghhBBCCCGljjqlCCGEEEIIIYQQQkipo04pQhTQ2HuEEEIIIYQQQojhUacUIYQQQgghhBBCCCl11ClFCCGEEEIIIYQQQkoddUqRMk8iYfD55itYcSLF2FFRa+Y/tzH1fzeMHY1yafvl//DhH5fwOr/QIOGfTXmGwWsu4v7zXIOETwghmtxIz8ag1RdwIz3b2FFR6beTqfhs0xUUSRiDbUNW3ucaqLwnhJQ/IjP79oeZRdckrD1zD3EbLqOwSGLsqJRJ1ClFyrwTdzPxv4RHmPlPorGjolJ+YRFWnEjFH+fu43H2W2NHp9wZ99dVHL79FCtPphok/AG/XcDJO5n4bHOCQcInhBBN3lt+FqfuPkOf5eeMHRWVftx3G7uuPsLxpKcG24asvF9hoPKeEFL+MIbrRzcIM4uuSZi++xb2Xn+MfTcyjB2VMok6pUiZ9ya/SKvljXG3Q74yKyyiqsJYst8UGDT8pzl5Bg2fEEJUyRNL7+6+FWtXJxrDmwLDx9HQ5T0hhJCyh56yNQzqlCJlnradTOZ2t4MQQgghhBBChKDX93RH14mGQZ1ShJgYKuzKLjq2hBBCCCFli7l9U4oQU0OdUoQooIqFEEIIMR7qvyeEmBO66UhIyVCnFCEmhjrFyi46toQQQgghhBBSjDqlSJlnbv0AdLel7KJjSwghpoGKY0KIvtBNR0JKhjqliFn79u9rmPq/G2qXUawoEh5moc/ys7j6MMsgcVpyLBkf/vEvCoskBgnf3BQUShA0fi+Cxu8FY+K9Mn+cu4+f9t0uURjLT6Rg+O+XIKbjb5LuP3+DvsvP4ZjckPOXH7xEn+Vnce2/LMzen4gxm66YfF4lpunOk1fos/wsziY/M3ZUzMb8g0n4dEM8JBLzPueGrr2IoPF7cftxjsZlv99zC+P+SjCJcuZtQREGrb6A38/cM3ZUWBN3XMekHddVzn9TUIhBqy9g3bm0UonPqbuZ6LP8LJKfvtZruGeTn6HP8rO4++SV4HWKJAxG/vkvgsbvxdwDSXqNDyFl1c1H2eiz/Cwupb0ocVgM3dIwCOqUImbrcfZbbPn3If44dx95Wgxx3XvZWVxKe4n3lp81SLzmHEjC4dtPcPj2E4OEb252X33E/p2YIbzhZSwrT6aWaP1Z/yTiaOJT7L32WE8xIvr05d/XcTHtBYatvcRO67VUWib0XXEOy46nYPfVR7j2X7YRY0nM1cg//8WltJcYsOqCsaNiNn45mox91zNw4V7JLxa0oe8HG44nZQIAOi06pXHZ1afvYfvldNx7lqvnWGhv48UHOHX3GabtvmXsqAAAXuQWYOOFB9hw4QGy34h5l/nz3H2cuvsM3/3vZqnEadDqi7iU9hJxGy7rNdwBqy7gUtpLjPzzX8HrHE18ikO3pO3LX48l6zU+pPwob092DXx3rvVZfs7YUSEqUKcUMVuFRcU91drcbCx6dzdWXMS/kkhPTdU8MT0pAwBv5DoMC1WkeVn0VouOUlJ6XuQWqJwnf87Sk25EF89e5Rs7CmaroJTPOWPVRvJPRxWawNNhufmFxo4CR5FcmkhUNO6MFefnuYY5v5+9Vl0vKdLmJiwhqpjAQ5ql6qWKDm5iOqhTihADocc7lVGaEEIIIVLl7GEFQYS0E8rbBTUhhJR11ClFygFq9hkTpT4xJeXtkXVCiGkxtQ4VUy4STa+8NrkIEUJImWAWnVJpaWkYMWIEgoODYW9vj9DQUEydOhUFBdzHXa9du4aWLVvCzs4O/v7++PnnnznzxWIxZsyYgdDQUNjZ2aFu3brYv38/Z5mZM2eiUaNGcHZ2hpeXF3r06IGkJO6HBFu3bg2RSMT59/HHHxtm5wkxcybW/jYqelKMEEJMA3UvmKhyWE2awgfvSflieh2+5oNOV8OwMnYEhEhMTIREIsGKFStQpUoV3LhxAyNHjkRubi7mzp0LAMjJyUGHDh3Qrl07LF++HNevX8fw4cNRoUIFjBo1CgAwefJkrF+/Hr/99hvCwsJw4MAB9OzZE2fPnkX9+vUBACdOnEBcXBwaNWqEwsJCTJw4ER06dMCtW7fg6OjIxmnkyJGYMWMG+9vBwaEUU4SYA10LLeq4IIQQ8ySilr7ZMNo3pYy0XUIIkaGOFWJqzKJTKiYmBjExMezvkJAQJCUlYdmyZWyn1IYNG1BQUIA1a9bAxsYGtWrVQkJCAubPn892Sq1btw6TJk1CbGwsAOCTTz7B4cOHMW/ePKxfvx4AlJ6c+v333+Hl5YX4+HhERUWx0x0cHODj42PQ/SbCqevIoWsE46LkJ4QQoo2y/OSI/L5R+4QQQggxk04pPtnZ2XB3d2d/nzt3DlFRUbCxsWGndezYEbNnz8bLly/h5uaG/Px82NnZccKxt7fH6dOn1W4HAGdbgLQTbP369fDx8UHXrl3x3XffqX1aKj8/H/n5xaN25OTkAJC+UigWl40RAWT7IXR/vtx6HdZWIszqWVvwNi4/yMKMvbcxOTYMPi7Fx1IsFkMs4m/E3n/2WimOqn5LMRrmC1NUVMSun/z0Nb7edgOjW4egbQ0vAIBEwuDTTQnwd7PHV+2rsusVFhZi/bl72BqfjhUD68PD0QaX0l7ix38SMbVLDdT3r8AueyM9B5N33cQ3HaqhWaiHUhwSHmZh2p7bmBBTHUEeDvh0UwIGNPJH7wZ+yMjJQ9zGBAxsEoCe9X1V7seiI8m4/CALqwY3gLWldm/8MgyDyTtvsL/F4kJOms49eBe3Hudg5cD6sFIIWywW40i6CJ9/dxBfta+Kj6KClcK/++Q1vt5+HZ+3qYLo6p54nluAj9ZfwXsN/NC/UWWl5S+mvcBP/yQppaOigoKCEj/x8PB5LrotPoUhkYHFExnt8tTbgiIM/zMerat58u6/OlceZKHvbxcBAP+MaYZjdzJxNDETqwc3wKm7z7H85D3M71MHwRUdNYSkHOdjSZn45WgKfu5VG1W9nTjzTt59hvmH72JWz9oI83HGpksPse3yI6wcWB/ujjYwFtk+PHjxVmkaH/nzl0/mq3w0+/kE7K0tcG1KO/1F9J1pu28j83U+fu1fVykv3n3yGkP/iMfTV/mY1bMWejfwExzulQdZmL73NiZ1CkOjIDfB603+3028zivCgr51IBKJMHHnTbwtKML8PtLfu689xrit19Grvi+ah3rg93P3sbh/XfhVsFcb7p5rj7Hm7H181zkMfVdK8+uGEQ3ROMhd7Xry0p7n4ou/ruPjqGBIGAYrT6UhuKIDnucWYNWg4nLr78vpmLDjJkY0D8T4mOq8YeW8FePDdZdx41EOmod6YMUH9WFhwU1/VXXdudTneC03KphYLMarvEKMXHcZHWt5Y1izQKjDMAziNl2Fj4stpnSpoTT/eno2vtt1S2V5rw2+vL3hwgPsvPoYvw1sgAoO1iUKX97r/EJ8+OdldKjpheHNg9jp957lYtzW6+zvIWsusn9rOv/UmXfoLm4+ktYrhxMzseLkPSzsG45AD24bTSKRCNrGm4JCNJ11HG/FEnzSKhgn7z7D991qoo6fK7uMYicaX7h/nLuPvdczsPyD+uy0dvNPIiLAFf19StbeKAmJRG7UURVxOJ38HHMP3cGP3Wuhlq+LQeIhq1e+6sBtD4nFxeffb6fv4WhiJmrLxeHVmzwM//Myoqp44ONWIXqJi2I9JiMCo5RGCw4nI+G/LE5Zoy0Gwo7/+gsPMH1PImeaqnatvvKTqrTQp1d5Yny47gpia3tz20x6lJ71Fh9vSEBixit81iYUY6JD9Rp+UVHxqIiyNuSRxKf49Vgq5vSujSpeTirXPZ38HDP/ScKTV3kY3DQAn7Wpote48UnNfMX+rSqv6DsvlVRGTh7iNiVgYGP11y2a8O3P1vh0bP73IRb0Cce3228guronRrXkb3cr1k8LjyTjio7XSeWB0PwjYszwdlRycjIiIiIwd+5cjBw5EgDQoUMHBAcHY8WKFexyt27dQq1atXDr1i3UqFEDAwYMwNWrV7Fz506EhobiyJEj6N69O4qKijgdRjISiQTdunVDVlYWp+Nq5cqVCAwMhK+vL65du4Zvv/0WjRs3xvbt21XGedq0aZg+fbrS9I0bN5bLV/+yC4Ap8dI+0dmNCmEnsHt07DlLMO+evZlSvxAzrkhX/LlxIWwt+df5/Fxx4IsiC5V+K5p11RKP34hUztdEFv7AKkVo5Ck9vX6+aol0hTDvvQIW3pAuO7dJIb66IP37u/qF+P7dfjX3lqBviIQN01LEYH7T4opv4iVL5BaqjutX5y0hZqTzIypKEP/Mgl127R0LJDy3ULmu4v4MrVqE+hW1Ky4evwFmXS1O73F1ChEoVy/Lwh4VVoRabsphazpWPyVY4snb4v3fmmqB009U75OqdJTfDgAsbFqo8x1sxbDkuVozmNFQ+HDOxx+LsCNNmrG1zYvy54qfA8Pmvx6BRdh5XxpmoBODcXX446Mu7WXzfOwZTKhXxDvPw5bBlAZF7O8oHwl6B5fukO98+PaL75iNrV2IYDXtb75zWp9kcfomvBB+Cv2G8vle2+1/cd4SEka7eBdKgC/lyicXa+Dri9Lf0xoUws2WPw1ru0kwMkz9MVd1vmizTwtvWOLeK/4Tdli1ItTzYJS2pSr83Q8scDi9uFE5plYhqgi8Blfcl0WRhTjwnwj7Hgo7hx++BuZet1K57ISLlnhTVPK6SdX6svnRlSToEaS/c/VQugh7HiinwYLrlkh7zX/cBlctQoSW9Y2MfL2yMlG63WBnBmNrF3Hmt/SW4L0Qzft57JGILTNl7C0ZzGpcXPY9fQv8mCAsfdv6SnDkEffCpXdQEaIqGac5fvA/EfZqyKOyuLtYM/heizpMG7Jt2FsyePsun89sVAgHK+VlrEUM27bpHVSEbTrWk5rioliP8e0/20aqVoT6HtodQ9m6NhYM5jTRnK585aUh6h++bbrbMpjawDDHft8DCxxI19weLYkVty1wK6v4vNP3duTLiUn1CuFlX5x2vg4Mvq2rOu346g5DE1Ifmprf71jgioDrFj5C6z95qtq+fYKL0MKHUZquy3VSefDmzRsMGDAA2dnZcHFR3aAy6pNS48ePx+zZs9Uuc/v2bYSFhbG/09PTERMTgz59+rAdUkItWrQII0eORFhYGEQiEUJDQzFs2DCsWbOGd/m4uDjcuHFD6Ukq2euAAFCnTh1UqlQJbdu2RUpKCkJD+XveJ0yYgHHjxrG/c3Jy4O/vjw4dOqg9QOZELBbj0KFDaN++Payt1d9lfZydB8SfBAC0a98eLvbC7sp+fu4g+3d0dDRmXDkFAOjYsQMcbPizs/w6sbGxSr8VLU09i8dvXqucLzSO4eF1EfuuJ3/2rZMA8jhhXrj3ArjxLwAgpmNHfHXhCACgVevW+P6KNM95+vghNrYOG2YRI+LESdO+yM939fAGnmWyy257Fg88f65xP2Vh1Aqvi9h62t2ZuPU4B7h6nv3dvFlzhFcuvrssC7tu/QboUNObs65YLAbOHWN/88Xx++vHARSw849vuw48eaxyeSHpCACdOnVSejpCKMWw5NnZ2SE2tpXgsB6cSAXSkgFonxfl4yGysQfeSPNfUJXqwH1pmJZ2ToiNba5xfcVty+YxVsr7I5snFlkjNrYj+9vTtzJiY4U/FalvsvJJnmy/+I5ZZGQzNAiooDK8WTzntD7J4tSseQulJxPk872229dUZvDJFxfhy3flU1SrVvBytsXXF48CAFpHR8Ovgj1vGjq4eiA2tpHg+MjTZp9+TTkDvMrlnVc7vB5i61ZS2paq8OP3JgLpD9jfDRs1UXoqSVVdp7gvsbGxuHXwLvDwnqB9SniYBVy/qHJZXY6dNuvL5ntXDkBsbE2tw1cl6XAy8CBVabuL7p4BXvMft3r16iE2vJJO25OvV5B4FQBgbe+M2NhmnPmBQYGIjVV+Ik1R2vFUtsyUeVvErUOSn74GEs6yv9WlbyX/QODRQ848sQSC2k6GcP9EKvY+VF/PyOKez1giNrajQeIh24asQwoAOii0D9n6hSleJrR6GJB2F4D+ymJV9ZitrS1iY1vzLitf1mi7HUtLYenKV14q7rM2bXFt4lgAa4Md+6v/JAHp9wEYpj4FgHWPLgJZWexvfW/n8Zk04P4dAECLllGo4uVUfLys7REbG6VyXb66w9CE1Cf6zkslJfS6hY8210uqlmOvh2rXRmxjf+XpOlwnlQeyt8M0MWqn1JdffomhQ4eqXSYkpPhR3EePHiE6OhrNmjXDypUrOcv5+PjgyZMnnGmy37JvP3l6emLnzp3Iy8vD8+fP4evri/Hjx3O2ITN69Gjs2bMHJ0+eROXKyq8ByWvSpAkA6RNcqjqlbG1tYWtrqzTd2traJE50fRKyT1ZWxb3PVjqmgZVVcfaVblNzdlbcDt925V+VKcmxsbS0ZNfnC1M+/lZy27GWm25hYSEozkLiKt/JYm1tDYgsuL81kN8foSwtucfEysqKNwxLS/7p8vjnc/dJZCF8n9TNt7a21rlTSi2RdnnK0qr47nyJygm5/Gcpl0YWFiJB4apaRiRSv778PAuRcl42NnXxsbJSn98t9FROaKLqnJGn6/aFrlckN1CvtZU1rKyK11MbPw35Qx9xA6R5SxVVx1FV+BYW3LCs1eyfprrO2toaFpbCyyTFOk2dkuY5tXmbp94pCUsVaaCujBWS7zVvt7j85CurhO6npYrXMeTXlT92ivMUKeYx+XWMUUbKp5Om7TMCltEnIe1DCws91ZMqcMJUU6ZZ6dBGkgtY72WlIfKToY69hRZtN10pvgav7+1YyuVDxfJLU1tJUWmXA0LqG1Nov4m0vG5RRei6qpZTdT1kYVGSMqDsEpomRu2U8vT0hKenp6Bl09PTER0djYiICKxdu1apUo+MjMSkSZMgFovZnT906BCqV68ONzfudzPs7Ozg5+cHsViMbdu2oW/fvuw8hmEwZswY7NixA8ePH0dwsObvuCQkJAAAKlXS7a4e0Y18/WLqL6HyvQqmqjkuMtFPg5vmB1m5B15faWfi2alEyvK+kfLJNMsm81Va9am6w6bvL0uYUh7h2zUql82DobIRjbpMiPkwoeqkTDGLr3Glp6ejdevWCAgIwNy5c5GZmYmMjAxkZGSwywwYMAA2NjYYMWIEbt68iS1btmDRokWcV+YuXLiA7du3IzU1FadOnUJMTAwkEgm++eYbdpm4uDisX78eGzduhLOzM7udt2+lH8dNSUnB999/j/j4eKSlpWHXrl0YPHgwoqKiEB4eXnqJYuY4DUSqizkM1ThRbAhr2+jXxzUCHWrt6KuTzZQuyEjJmXonPClmnqceZbDSRimuO1M5x6ie1V1ZSDvOjXLjRYOUAjq+hmEWo+8dOnQIycnJSE5OVnqVTnZh7erqioMHDyIuLg4RERGoWLEipkyZwvn+U15eHiZPnozU1FQ4OTkhNjYW69atQ4UKFdhlli1bBgBo3bo1Zztr167F0KFDYWNjg8OHD2PhwoXIzc2Fv78/evfujcmTJxtm54kgplhA6CNOprhfhmBqDRJpuWJikTKAku6hNsetvOTl0mBKaal2lEpTiigxGpVPBZehIrbcZPVS3lEheaTcpL2RmeG4WKWKkoeQkjGLTqmhQ4dq/PYUAISHh+PUqVMq57dq1Qq3bt1SG4amQtff3x8nTpzQGBdC5JlC47uk9aUu+0CVNJcppIex4mAK+65PpXVOm0LZIc/U4gOo7xgrcb4zwf01tNJ7fc+wiVvWyhxSdlFeNTyDlzdyrexyWG2ULypOWDqNS8YsOqWI6Tuf+hwTt19HrJcIDMMgaPxe6fQJbTHij0u4+Uj65f2dcc0xcft1NA52VxverH8ScT71OTaPago7a0veZT7fnMD+raozUXH6nAOJard78d4LJGa8UruMognbr+Hhi7f4c3hjnT+OHfbdfvbvz+T2S5+KJMVpse78fUHr7L/xWO38xIwcjN54BePaV0NsHek31bLfitFxwUlk5OShZ30/leseS3rK+f2/hHQsPpqMH3vUxtRdN1GjkrPK7X3Zvho61anEqRdO3c3Etsv/CdovTT7bfAVLP4jgTHuc/RZD11zCoMhADGwayJn3+5l7mLb7FtwdbQRv44+zadh08QH+HN4YXi52vMvIX2sHjd+LKl5O2PpRJNx4trP0eDL2XH2MTaOawtZK2JvZd5++5vxmGAbDfr8ED0fuoAy/HLmL+YfuoJKrHUa0KP7Onja5fdvl/zCvb10AwMx9t3Ep7QXCK1fA9fRsbBrZFDZq4jx553WsPy8dEa1XAz/M71uPnfc0Jw+D11zE+40DMKRZEGe93PxC9F95Hm3CvDC6dTBuvBAe4882JcDZzgp9G/pjuNw+y6jqB9l08QEmbL+OqGqe8HGxxV//SvNkFS8n/PN5S1grfDT52et8DFx1gVPuKB4/hmEw8s9/4WRrhYX96wveB5mM7DwMWXMRAyO5+fbOk1f4dMNljG1XFV3CVY8YI3+e7bn2GI+y3rK/uy4+jWEK6S5TxDD4YNV5BHo44vnrfFhbWuDXAQ3Y+Q9fvBG8D0USaVjVvJ0xo3vxKI7rz9/H7ceaR3bJyRNzfsvqqJNfRyPAw4Gd/vvZNM5yq07dQ7PQimAYBh/+8S9c7K3xc69aSnEbuOqC4H2R99/LNxj++yV4u9jh1N1nnHl//fsQq06lYvWQRth19ZHKMBYcuoNFR+5i6LvjcOBmBuxtLPFJq1CEejmh19KzSut0XHASBUUS2FpZYP2HTVDRqficL5IwGPDbeQRXdMSPPevwbnP/jQzMPZiEX/rXR813o0Meuf0EP+27jYX96qOO3Cir8oLG78VPPetgQJMAtemiyd0nr9B+gXQE39SfYtm6t7BIwi6TkZPH/p2Y8Qrt5p9AVS8nTji/HLmLg7cy0Dy0Is6mPMdPPeug66/S0W+vTu0AVzUjA3f/9TSiqnniyw7VtYq7qvpXXCTBB6vPobafK76Jqc62C4591RrBFR1Rb8ZBZL0R4/C4Vqjybj9kZVzbGl4Y264aJ7z4+y/wzd/XMLVrLURVk36/ddqum7j1OAcbP2wCK54PuL/MLVCqX64+zOL8zhMXof/K82gW6oFvYsKg6FjiU/yw9xbm9a2Hev4VePd14KoLOJ38DGuHNkJ0mBfvMgAwfdctXP0vCwzDIFJhFEyZWf+ob9fxuZT2AuO3XcP0brWx5sw9VHCw5tQrqqjrlE/N5I4k+eVfV/E8Nx9rhzZS6jjfeSUdS44Vj+iYXygBH77zzJBk7ZzBzQJRt3IFfL75Cjsvt6AI0XOPw9JChGUfNEBVb2kbLfutGHWnS0cfc7K1wuIB9RFdXfmY/rw/EUuPpyCkoiP++jgSDX84DACIquaJk3cyBcVvwvbrePjijcb2dk6eGO+vPI/YOpUQF10FgH4+jfHnuTRM+d9NONtZ4fdhjRERWPzNYvlOL8UtpcvVmdr49ehd7L+ZgU0jm8LZrrgsyi8swvsrz+PygywAwNBmQZjWrbheWnkyBQsO3YWTnRXGx4RhZ0I6fF3t8Tq/EBKGwdIPGihuitehW0/xU4IlgurnoG4A9/xLeJiFHkvOAACqejnhk9ah6NWA+zaTfLt02q6byHkrxqohDZXOh0WH7+LQ7QxsHhUJJ1vduybktycruz/bdAVvxUW8y++/kYE5BxLxtoB/Pl95CADf/e8mOtWpxKk3tfHRun9x4OYTzOheCzG1fTB49UX0beiP43cy4eNiC2tLC2y48AChno5YM7QRAj0cddqOuTGLb0oR09d/5XmkPsvFr7cs8Z9c4Rv18zG2QwoAeiw5g1uPczgNf76KYvmJFCQ8zMKea6o7ReLvv5QLg1/mq3zO7yXHUtTuR98V59TO57Pp4kOcTn6GhP+yVC7Dd4dG1d19+QagPh+XvvygOL2+23lD0Dofr7+sdv6YjVeQ/PQ1Pt1QvNzqU6nsxcCOK+kq1x229hLn9+ebE5D89DX6rTyPxIxX2HFF+SIsbsNlJD99jU82KMdr0OqLauOqjX3XM/CmoJAzbea+RCQ9eYXJPGk3bbf0CcwXuQVqw5U/5FN33URixivMP3RHcLySn77G0uPJvPN+3p+EW49zsPr0PaULWKF3CO88eY3jScqde7I4Ps7Oww97bwuOryorTqbi8oMs/H42DfH3X+LAzQy1y8s6pABg+2Vunpp38A4SM15h6q6bSuttvvQQ19OzseiIdLjw35L4O7j5pGe9RWLGK8zYo/7pWkUTtl8HAJy8k8l2SAHSY3fk9lOl5RcdvqvUEa54gfLgxRscvv0UOxMeQVzEf/Gizqx/biPpySul837su3Nu9MYrKtZUNudAEjZcKD4eL3ILME9FHr784CXOJD/HxgsPcODmE+y59pjTOTSN55ipcj71Oc6nvsCf57gX9HznozxZ/fLHmTTe+VN2qV//aKL0mKU9f4MjiU+x40o6p+MDAC7ce45zqc/VhqPKjN23cOfJa6UOKQD45u9ruPPkNb773w3MOZCkMgxZ/v79bBp+P5uGx9l5SM3Mxdd/X8NgFeVi0pNXuPcsF4kZr7DwMPf4xd9/ibMpzznHWdHH6+PflcXx7LQRf/yLlMxcDP/jksr1AGDiDuk5UpKn7r74K4H9W76NcSal+DjM3s/trEh++hr/3OCWNfMP3cGN9BysOJmK6+nZbIcUAKw+fU9tHK7+l43FR/nLY20xDHDyzjNcTHuBNWfucerO8duuAQCy3kjPnXbzi5/W33jhAa6nZ2Ph4btKYb6/8gJSMnMxeE1xHvj9bBou3nvBm98AadtL0dC13Dy06+ojJDzMwtLj/O2pYb9fkm53teqO2tPJz9hl1dl2+T8kP32NlMxcTj1QUv1WnENKZi4Grr6Ao4lPsf1yOiSSkrW3ZOehzLbL/+F4UqbSzR8AGLslgXe6Itl5FrdRfVtMX2TtnEk7buDj9fFIUehou/csF8lPX2PslgR22upTqezfr/MLldp2MrL8kvosF4vk8qvQDilAetNHU3sbkJb3Nx/lqC03dTHlf9I661VeIT5YdV6vYfOZe1BaPinWe/tvZLAdUoDyzZSf9iXirbgIma/y8eXWqzh19xm2/PsQe68/xj83MvBcQ1tV5tNNCXjyVoS4TVeV5sk6pADpDc5xfykvI2uXLj+Rgh1X0nEk8SnuP1e+GbXgsHQ/N6mpc4SQbwcDwNuCIuy6+giHbj3hXV6Wxx9l5/HOn7TzusptLeIpc4U6cFManyn/u4mF79qAM/bcYtuNsro3JTNXYxunLKFOKaJ3Ern2eoEOF1DyFBv/2ioqxWeiFRs08h1KpvDKS1EJG1x83vDcXchXc8xK2smWm89/N6M05Km406INvt1XFy5ftilQcUdVfr4uHReA9nlE7feEDLhdeXmFqtNPU1qVNr79zFcTfxnF1bQ9j/LE/Omg2PGqb5qiqeruJZ/CEpZfquoiVXdIFUnU7Iy6/KvpFBGSBkLjyOd1vuZjrHieiCXCzxu+OuCNgG2WlHxdIF/PF8nFXVW+F0qbclQfTQ2xXD6SPybq8oi68kNd+0s+z8rnUb4ndhTrXaHpwpc3TAXfKWuodpq6skMoQ5fVMvLtEXXljvw8dW0+VYTUe+poajPw5X19v76nrnzR96WHYhldWFSyDWgbv5LUQQA3/uo2remaUeg5KtteSc89dftd0jwso+naQh/XHuaCOqVImUDv4xNDM4WORSEYMGrPB3WPsJvLsNScDl8jxcHQ36eQp9gJpe1RUpV3hXYq6jNfmMlppJXSzAuGoBh/c65PzTvuqj5DUMoRUWTe2dvo9DJysRHygNrqQST/J2WQ0lba7dGStgE4A66XQmY2VluWBgMoGeqUInqnbWFA57Bq+kyakqazKTY8DJl1FNPLFPdfF3S+6Ye5dFIS82QujduSnAb6etKyLFB3tNXeSNBzNinPh0SfaWku5686dH5qx1xu6hHh6IiWLuqUIiZNcIGgYkFjtgvkN10WqnahFa4hO28U46Cu4WcujUJ1seRrEwppKJpbW9JQ8TW1RqKu8VFcy0yytl6V9Hw2s1OiVCmef+acv8yt7JNnLp0AZeUGjS502XdzPZ90HLeHlIKSFhX08EDJlZVRak0JdUoRkyb0pDe1i09FptjYNFSBqsuuGiJ1yu0dZKYUK0sjpYmpNZAM3QEqHzzDaL+9EjdgTSy9ja00kqNMpbmKDGjsct9c0lj969g6hqnzesLXNJs60wDMJW+pY2HAA1jWL7QNfU1ibulX6mVBGTj/yiPqlCJ6p21lXF7LDvN7J7zkES6vx1pX+mp4GOPioLQ6Yk2xw1cbwspLw5w5xk650jh0+ro45H4TQ5v1zK/cLK2nTEty/OXjaC5PxaqjbhcMMEYJh6Y8auxyorTo9XMJegwLME4dbshOKaMoY7tTEsbs1DKn0pquZ0uXlS4rZWVl4e+//0ZKSgq+/vpruLu74/Lly/D29oafn5++40hMFMMwCJ6wT2n60uOpPEtr9t/LN2gx+xhn2sQd1zFxx3V83rYqvmhfTeW69WYcQoea3lg5uCEAIP7+C3y2KQEjWwar3WbzWUex9IMGqOtfAbuvPlKaHzR+L3o18MP8vvWU5h24mYGP1hUPh/3e8nOc+VP+dwO/n0nDjrhmvNue9U8i73R5/0t4hEv3XnCmTdt1E3+eS4O7o61SXGXGtquKse1UpxdQPCSzTOarfPRZfhZ9GvojLrqK0vL7b2Rg7sEkdKrtg39uZGB0dBWkZ71l50skDLZfSccyFcNEA0CvpWfVxkmdmIUn8SQnn/3dfNZRvHwjVrn8mjP38MPe2+gSXgl7rj1Wmj928xX89/ItJnauwbt+rakH2L8rOtng2eviIXRlaZ3yUywstXjG/emrfFx+8BJjNl5hp/0v4RHuPHmN249zEOjhwDtcrryL917g7pNXGPb7JXzWpir6NvLnzE/JzMWKk9xzUD5MxWGr5fONri6lvcDYzQnoEl6JncYwjNIoTR+vi8fyQRFK63++OQHta3rDwYZbJaVnvcX7K5WHXQ6ZKC13vF1s0TTEg50u25eRLYPx2yn1w7lrI2j8Xvw5vDGiqnmy0xQ7KSbuuMYZmp7PqTvPMFru2B/9spXGbXf+5TQOfRHF/k7PeoucPO5ITC1/PoqVgxpi7OYEtKhaEZNia6D/yvPwcbXDL+/XVxl26rPi4b6Dxu9FqKcjdsQ1x7RdN5H2LBdbP24GSwuRXhtaOXmFWHsmDTuupMPO2lLlcpEzj8BCJEK/Rv649SgH+29mcOKaNqszjiU91by9t2KNefzzzVfwKOstNo+K5J3fes4xNAxyZ3/Xmn4YgBU+P3cQ/Rv5Y/Olh7zrqdpuTp4YvZaeRcda3irjJMvjqsjC/qqD+nJeiLMpzzm/5YfHlm1n3YjGyHyVj3kH72DVkIbsfJGouCyVyZUbsej3M/fwyxHlobPrzziotvz+fHMCPt+cABsrC1yd0gH2Nty8Ip8n5x5Mwpnk56joZAOxFqNSabrmXnY8RW19xo1PCUfDAjBmc/GQ6lN33WT/vv04Rykv/Zv2Ag2D3HFP7hyWuZD6HP0Uys3ms47iuy7FdZ38rs/eX9wWuZT2AifuZGLImou88RQXMZi4o3iY9EGrL8DWygL5hRLYWVvit8ENOcsyDINhv1/C8aRMdvqIFtx2WdD4vdj+KX87SRerTqXiz3P3sXlUU/hWsOfMU5fvDt3KQFVvZ86+5+QV4tejxfk3IycPk3Zcx8V7L9C2hjfGdwrjDevmo2z27yev8hCQ74Da79oUA5sG8K7Td8U5XHzX3nu/cQA2XXxQHEZOPr75+yrves1nHcXYdlXx9d/X2GmDq4rw8uJDzPwniR1R0cbSAn5u9tg8qilGrYtH5Qr2uPv0FVpX98LE2Br4YksCDt56woYh375TZdyWBGy/ks47j2EYDF5zEbZWlpwyQ5Oon49hRItgDGkWBEA6+livpWfRKMhNLmz+da88eInRG69wyovms45i2cAGSp3XCQ+zELfhMiZ1roHYOpU459jXHavjVV4hlp9IQUUnG/xvdAv4KeQldWIWnsJHUSEq5z97nY8+y8/hvYjKCHB3UJr/8MUbDF1bnA8THmbh+z23cPruM6wa0hBjtyQordN72VnE33+JT1uHaoxft19P807/5/pj/LD3Nn4dUB/1A9w4857m5KHDwpPIeiPG2HZVedePXXQKDYPcMKN7bc50+ZuHbeedQJiPM17nF+JpTj6qejtpjK8sbvLliKIJ24vLpRUnUzEhtobaUrnL4lOCtqvK1vj/sDX+P6yQa9OuOJGCPHERfjuVig0jmiLAQ3psN154wJababM6l2i7ZZnWT0pdu3YN1apVw+zZszF37lxkZWUBALZv344JEyboO37EhD19lc87fedV5Q4AIVQ1ggDlC2k+B289YYfoHLz6ItKz3mLa7ltq10nPest2LI3ZdIV3me2X+Stc+Q4pPnliCW49zsHhW09570nE33+pdn0Z+QsEAPj9bBokjLRSU2XhYeX00jTK95JjyUh7/gZzDiTxzt9/MwP/vXyL307dw38v32K8XAUAAHefvsZXW/kbTfqQmPGK81tTg+mHvbcBgLdDCgB2JjzCv/dfCuook++Qknc9PZt3ujq9lp5Vivvtx9LODE0dUgBw63EOvt12Df+9fItvtl1Tmn/49hOetQxr4KoLSM96q9QZdkah43P/zQwUqhjyd1v8f0rTZv2TiAcvVKfJk5x8Nu3k6bNDSmawQvmk+ITWposPce0/9flhy7/czovv/ndD0LYfy5UBs/65rTT/4Yu36LToFJKevMLq0/dw81EOLqa9wK53He1C74qmZOZi/fn72H45HZcfZOHftBeaV9LSn2fTMP/QHdx7lst77GQeZ+chPest5h+6w+mQkjds7SWN2/vj3H2Ny/wv4REupb1UeT6nPX+Dv3nyJwCVHVLqbDj/AMlPX2PJMWEdHurMPXinxGGoO8dkBq2+iHF/XUV61luM3ZzAmScrS/moqoPVdUjJKyiU8N4wkr++PJMs7VR79roA2W+FhasYhrG9Emv35IKsPNrB0yGg2CEFSOvLj9dfZn+r2vUb6Tlq22KKTt19hsO3n+LU3Wc4dOuJ0hDqma/zlS4kV59WLp9LcsNK0Q97b+PBizf4eb/yjT91+e7j9ZcxYft1TgcroHyObbjwAHefvsbyE6rPX/mbDwsO3cFmuQ6m9ecf8K3CdkgB4HRIyfz1L38ZlJ71ltMhBQB/3rXEtN232Q4pACgokuDes1wMXn0RVx9mYe/1x7jz5DVWvqu3+fKSJqo6pABp21WaP57gTUGhyuUUPXjxhtMp+8+Nx7j1OEdQWT7ij3+RnvUWyU9fs9PSs97ik/WXkZLJ7cAd+ad02U83XFYMBnMOJLHH99nrAswWcBNZkWJ7SN6SY8m49ywXcw4k8V57tJ1/ghPfE3cysfr0PSQ9eYX2C07whim7plgqoCP9scJ1hcwnGy4jPestRv6pfH3zy9G7yHp3/vBdYwDS9umfAo5TYsYr/PfyLQqKJBpv5snHTR3Fc0ai4RHTG+matyukipC/FkzJzMWU/93EwxdvMX13cR6W78jXaSPlhNadUuPGjcPQoUNx9+5d2NnZsdNjY2Nx8uRJvUaOlC/ylaeuZBdf2oQl68gyFImJtHw13cktUNFZoK/wif5o8zSAIcn6ZfjON5FIpFXeL+JpQBQY+NzUF12PhtDjKJ+OBQLKtpKUOUVycZL9pc/XowoN/S6S0vaEl2ul9RqYfMesiVQPWlF8AtLQ+PJzWatvtM0HQsqB8k6sQ1mjr7wt364sLGJKvdxTp7TOX+4rttx52rwZqE1088X8bYaCIolS+Z6nYlk+2tQjgsLTUPerO0Z5YsMfP8XrIoYBxIWmk4eFMPbbp7qUP7zK0WunWndKXbp0CR999JHSdD8/P2Rk8N/NJGWTvs8Tc2ycC8EA5apQKU+MdViNXdkKwTCMVt8t4Ps2lCmXCdzX93SMqOCBHIiuTPGDsFofT8oASkytbChpfExsd/TGFM8/dQzy8X2YXn4tKSHppK/vPWoTirptGvoQaPWtQQ07ZV5nDSkROtgsrTulbG1tkZOj/MjbnTt34OnpybMGIerp8+60LndPS6OtYApljqZkLnGjugTrm+vHqs002qWHJ330/gFYkzi7DIzh/VO4Eg8frT9l7eKsvDPW+Vfe8xHVPabNpPMn5R2TZ/Q2sZHyr16vB035HCS8tO6U6tatG2bMmAGxWPpeqUgkwoMHD/Dtt9+id+/eeo8gMWF6KjMNccFj7PJcnqmMDGQaseBnKmmkLWNdkJlK9tbnqE26nrNGO9fltmvwO7ByWxByqug7Tcz09DRZlJ7aMaX6nGjH3I6dvjoDFE9xU3rd1MwOidnQZ17XYvycUmFK+VcbJb22KMn6gtc1z6Q1CK07pebNm4fXr1/Dy8sLb9++RatWrVClShU4Ozvjxx9/NEQciYkqF08olCGaC8iSlYzm1vjUB+N1iJhWYvNFR1XjXps63pTratM6AoZhmFdZTPmolg5t08CU08xYRZG53sjQF3Npf5lHLA3PlLKrMZ7CUdz9kkZB1fmvKtjS2GN9HmNjn998u1KSeshY5bUJnXZEACvNi3C5urri0KFDOH36NK5du4bXr1+jQYMGaNeunSHiR0yYvuo1hhFWYAlbhvu/vrbPMAxEIhG7nLaVuuLyxiigtfnmni7xK4+v7wHGOZZ6+Z6RnjAMw3vsZeeM0nQBzQRt9klo3uELU1UcNYWhfD4LDoK7nsBmnnz4hn8qS+hEHcPXU1jGzve6kMVZPupCPkpfGruq7/TU9txSR3aBxvlwsl5C1h/Nr8draGPotM2SPwVgznUvH8U0kS+zS6PM4DvHTa2s4jviurX5VK+jr30W2jbXLXBt4qFpvua6XD4vaoyxsd/eUzqPtL2u0v248J2zqm9yqp6v7ltu2uRPxes/4evxp4O24ZStElo9EWNqpWU5kZOTA1dXV2RnZ8PFxcXY0dHJ6I2XsefaY2NHQ0lIRUekPsvVvKAWPBxtEF7ZFcfeDW18eFwU2s3XbbTJYc2DcPDmE6RnvdW8cAls+yQSvZedE7Rs17q+cLSx1Gl4c31YPrABZ7hqc9Ew0E3lUOiE3/hOYZilYnjlezNjwTBAnxXn4GBjiVN3nxk8PrtHt0DXX09rtc7kzjXww97b7O+rUzqg7oyD+o4aa9Xghvjwz391WnfpBw14h7wWYsuoprj5KAcz9tzSaX1zE+rpqDRsuD4521nhVZ7wodHNma2VBW7NiEHoxH0lDuvn98Lh5mCDb7ddw4vcAj3ETr/m962LcX9d5UzbPboF6lR2BQBsufQA325TMyS4nkzoFIaIQDe8t1xYvV/N2wl7xrREtcn/GDhmpaeKlxOSn75Wml7bz0XQEPDaKittgCAPB6Q9f6PVOs62VniVL6w8uzG9I2pPPaBV+B+2CMaq0/d4520Z1RSfbb6CJzn5WNS/HrrX8wMA1Jl6gDdOXs62KCiSIOuNWKs4yDv0RRTaL+C2+6d1rYneEZUR+8spPHwhrE1fydUOHWp6449z93WOi7799VEkGge7I2j8XnbaoKaBWHde9zie/jYaLWYf02qdES2CsZrnmC/qXw+fb05QuV63ur7YdfURZ9r/4pqjz/JzvCOLezja4LkWdUlJyo82YV44mvhUp3UBoEmwO7Z8FKnz+qZAaJ+HoCelfvnlF8Eb/uyzzwQvS8ybKXZIAdB7hxQAPM8tYDukAKDDAt06pABg7Zk0PcRIs4/WxQtedvfVR+jfyN+AsVHvyoMso227JMpCY7S0qeqQAoDX+YV4kVuA+FJM1882X9F6HfkOKQDYde2RiiX1oyR3jnTtkJIpLx1SAAzaIQWg3HRIAUB+oQS3H+uvE2Ckjp2ypUGxQwoAuv56GmmzOgNAqXRIAcDMfxJhbSn8vvqdJ69x6m6m5gXNCF+HFACDdEgBZacNoG2HFADBHVK6UtUhJfMkJx8A8PnmBLZTStVjJfp4+qLTolNK06btvgUJA8EdUgDwODvP5J5QHLr2Im7NiOFMK0mHFAD0X3le63XWnOE/5uo6pAAodUgBwNgtCbwdUgC06pACSlZ+lKRDqrwR1Cm1YMECzu/MzEy8efMGFSpUAABkZWXBwcEBXl5e1ClFygVtXoUzliItI0nPTJLySNvzhI+hHzg21gPNptZwJoSoV2gOjRNCzFCRinq4LJxx+mgH6YM+mzqFEv4OKWK6BH3o/N69e+y/H3/8EfXq1cPt27fx4sULvHjxArdv30aDBg3w/fffGzq+hJCyiK59iZHo4yPS1KFLiDILvX1TihBCimlb5RqyDDG1kfJ0YYgmjLHvaVG7zPxoPfred999h8WLF6N69erstOrVq2PBggWYPHmyXiNHCNGdtuWxKY/wRMoHc82BBn9SyqChE2IYFlq3MPnRE3uGQxdupDSU5c8XU+lkmspKlitP1Z/WTYbHjx+jsFD5PeKioiI8efJEL5EihJQvxh7+lpRf+mi4GHxEvDLSuCLlC5XrpY/KClKeGaPEKROd5gYoN/T1pKyuynJHaFmldadU27Zt8dFHH+Hy5eKPp8bHx+OTTz5Bu3bt9Bo5Qkj5UBbqdGKe9NIpZfC2DzWuiPnR12stVD0YDpUspDSU5XymS/vV1Nq8hnhTwti7WJbzXFmldafUmjVr4OPjg4YNG8LW1ha2trZo3LgxvL29sWrVKkPEkRCiA3Ghdh/5KywyXhEuoTsaBNLOndL+3qY+8p6ho2ysjxfTh0JJSeRrWQepkldYpJdwSpu4SAKxitGfTEURneOkFOi7fSlRqBPzC4tQJGHU3iAq6ce8VYWtS7iK8Tc2cRGj9yeLjL2Hpl72ClWeimgRo2MuvHPnDhITpUN7h4WFoVq1anqNWFmXk5MDV1dXZGdnw8XFxdjR0UnQ+L3GjgIhhBjd5M418MPe28aOBiGEEEKI1qp5O+HOk9fGjgbhsah/PXSv52fsaOhMaJ+Hla4bqFatGnVEEUIIIYQQQgghZoo6pEzX55sTzLpTSiitO6WGDx+udv6aNWt0jgwhhBBibuj1U0IIIYQQQnSjdafUy5cvOb/FYjFu3LiBrKwstGnTRm8RI4QQQswB9UkRQgghhBCiG60/dL5jxw7Ovz179iA1NRX9+vVD06ZNDRFHpKWlYcSIEQgODoa9vT1CQ0MxdepUFBQUcJa7du0aWrZsCTs7O/j7++Pnn3/mzBeLxZgxYwZCQ0NhZ2eHunXrYv/+/Zxlli1bhvDwcLi4uMDFxQWRkZH4559/OMvk5eUhLi4OHh4ecHJyQu/evfHkyROD7DshhBDTRn1ShBBCCCGE6EbrTineQCwsMG7cOCxYsEAfwSlJTEyERCLBihUrcPPmTSxYsADLly/HxIkT2WVycnLQoUMHBAYGIj4+HnPmzMG0adOwcuVKdpnJkydjxYoVWLx4MW7duoWPP/4YPXv2xJUrV9hlKleujFmzZiE+Ph7//vsv2rRpg+7du+PmzZvsMl988QV2796NrVu34sSJE3j06BF69eplkH0nhBBi2uj1PUIIIYQQQnSj8+h7ivbt24chQ4YgMzNTH8FpNGfOHCxbtgypqakApE84TZo0CRkZGbCxsQEAjB8/Hjt37mRHCfT19cWkSZMQFxfHhtO7d2/Y29tj/fr1Krfl7u6OOXPmYMSIEcjOzoanpyc2btyI9957D4C006xGjRo4d+6c4KfFaPQ9QggpG77uWB1zDiQZOxqEEEIIIaSMSZvV2dhR0JnBRt8bN24c5zfDMHj8+DH27t2LIUOGaB9THWVnZ8Pd3Z39fe7cOURFRbEdUgDQsWNHzJ49Gy9fvoSbmxvy8/NhZ2fHCcfe3h6nT5/m3UZRURG2bt2K3NxcREZGAgDi4+MhFovRrl07drmwsDAEBARo1SlFCCGkbMjJExs7CoQQQgghhJglrTul5F91A6Sv7nl6emLevHkaR+bTl+TkZCxevBhz585lp2VkZCA4OJiznLe3NzvPzc0NHTt2xPz58xEVFYXQ0FAcOXIE27dvR1FREWe969evIzIyEnl5eXBycsKOHTtQs2ZNNiwbGxtUqFBBaVsZGRkq45yfn4/8/Hz2d05ODgDpd67EYrqgIYQQc7XiRKqxo0AIIYQQQsogc+4rEBp3rTuljh07pnVkVBk/fjxmz56tdpnbt28jLCyM/Z2eno6YmBj06dMHI0eO1Gp7ixYtwsiRIxEWFgaRSITQ0FAMGzYMa9as4SxXvXp1JCQkIDs7G3///TeGDBmCEydOsB1Tupg5cyamT5+uNP3gwYNwcHDQOVzj0jr7EEIIIYQQQgghRIB9+/YZOwo6e/PmjaDltO5VaNOmDbZv3670pFBOTg569OiBo0ePCg7ryy+/xNChQ9UuExISwv796NEjREdHo1mzZpwPmAOAj4+P0gh4st8+Pj4AAE9PT+zcuRN5eXl4/vw5fH19MX78eM42AMDGxgZVqlQBAERERODSpUtYtGgRVqxYAR8fHxQUFCArK4uTBk+ePGG3w2fChAmcVx9zcnLg7++PDh06mO03pT4/d9DYUSCEEEIIIYQQQsqk2NhYY0dBZ7K3wzTRulPq+PHjKCgoUJqel5eHU6dOaRWWp6cnPD09BS2bnp6O6OhoREREYO3atbCw4A4cGBkZiUmTJkEsFsPa2hoAcOjQIVSvXh1ubm6cZe3s7ODn5wexWIxt27ahb9++arctkUjYV+8iIiJgbW2NI0eOoHfv3gCApKQkPHjwgP3uFB9bW1vY2toqTbe2tmbjSwghhBBCCCGEEALArPsKhMZdcKfUtWvX2L9v3brF+X5SUVER9u/fDz8/Py2iKFx6ejpat26NwMBAzJ07lzPCn+zppAEDBmD69OkYMWIEvv32W9y4cQOLFi3CggUL2GUvXLiA9PR01KtXD+np6Zg2bRokEgm++eYbdpkJEyagU6dOCAgIwKtXr7Bx40YcP34cBw4cAAC4urpixIgRGDduHNzd3eHi4oIxY8YgMjKSPnJOCCGEEEIIIYQQIpDgTql69epBJBJBJBKhTZs2SvPt7e2xePFivUZO5tChQ0hOTkZycjIqV67MmccwDABpZ9HBgwcRFxeHiIgIVKxYEVOmTMGoUaPYZfPy8jB58mSkpqbCyckJsbGxWLduHec1vKdPn2Lw4MF4/PgxXF1dER4ejgMHDqB9+/bsMgsWLICFhQV69+6N/Px8dOzYEUuXLjXIvhNCCCGEEEIIIYSURSJG1qujwf3798EwDEJCQnDx4kXOa3c2Njbw8vKCpaWlwSJa1uTk5MDV1RXZ2dlm+02poPF7jR0FQgghhBBCCCGkTEqb1dnYUdCZ0D4PwU9KBQYGApB+X4kQQgghhBBCCCGEkJIQ1Cm1a9cudOrUCdbW1ti1a5faZbt166aXiBFCCCGEEEIIIYSQsktQp1SPHj2QkZEBLy8v9OjRQ+VyIpEIRUVF+oobIYQQQgghhBBCCCmjBHVKyb+yR6/vEUIIIYQQQgghhJCSsjB2BAghhBBCCCGEEEJI+SPoSalffvlFcICfffaZzpEhhBBCCCGEEEIIIeWDoE6pBQsWCApMJBJRpxQhhBBCCCGEEEII0UhQp9S9e/cMHQ9CCCGEEEIIIYQQUo6U6JtSDMOAYRh9xYUQQgghhBBCCCGElBM6dUqtXr0atWvXhp2dHezs7FC7dm2sWrVK33EjhBBCCCGEEEIIIWWUoNf35E2ZMgXz58/HmDFjEBkZCQA4d+4cvvjiCzx48AAzZszQeyQJIYQQQgghhBBCSNmidafUsmXL8Ntvv+H9999np3Xr1g3h4eEYM2YMdUoRQgghhBBCCCGEEI20fn1PLBajYcOGStMjIiJQWFiol0gRQgghhBBCCCGEkLJN606pQYMGYdmyZUrTV65ciQ8++EAvkSKEEEIIIYQQQgghZZvWr+8B0g+dHzx4EE2bNgUAXLhwAQ8ePMDgwYMxbtw4drn58+frJ5aEEEIIIYQQQgghpEzRulPqxo0baNCgAQAgJSUFAFCxYkVUrFgRN27cYJcTiUR6iiIhhBBCCCGEEEIIKWu07pQ6duyYIeJBCCGEEEIIIYQQQsoRrb8pRQghhBBCCCGEEEJISWn9pFReXh4WL16MY8eO4enTp5BIJJz5ly9f1lvkCCGEEEIIIYQQQkjZpHWn1IgRI3Dw4EG89957aNy4MX07ihBCCCGEEEIIIYRoTetOqT179mDfvn1o3ry5IeJDCCGEEEIIIYQQQsoBrb8p5efnB2dnZ0PEhRBCCCGEEEIIIYSUE1p3Ss2bNw/ffvst7t+/b4j4EEIIIYQQQgghhJByQOvX9xo2bIi8vDyEhITAwcEB1tbWnPkvXrzQW+QIIYQQQgghhBBCSNmkdafU+++/j/T0dPz000/w9vamD50TQgghhBBCCCGEEK1p3Sl19uxZnDt3DnXr1jVEfAghhBBCCCGEEEJIOaD1N6XCwsLw9u1bQ8SFEINoG+ZllO2OaVPFKNvVFx8XO7Sq5mnsaLCCPBwAAAfGRhk5JoQQQgxtaLMgY0fBYFpWrQhbK62b4MQEDGoaiMgQD2NHg5Qhi/rXM3YUBPFxsTN2FEgZpnWNOGvWLHz55Zc4fvw4nj9/jpycHM4/Uj6lzeqst7A+aR3K+b34/fpoFOSmc3irhzYqaZQ4WlSpCDtr7qnDt/8lbVBP71bLqJ1CDBjM7cP/RGT7mt563ZaTreaHNo9/HY20WZ1R3Ue/o38K6TzUZ/7mI+twK6me9f30Ek5psbKg179J+aOuYz1tVmeDlzfmYlRUiMmnhex4aRNPZ1srrBvRBEk/dOKdv+PTZvqKnkYVnWxKbVtlxfc9amPTqKZIm9UZI1oEC1pHvj2Y+H2MgWImXMdamttwDjaWJd6Ov7t9icMwFYZqrqTN6ozu9TS33aZ2rYm0WZ3h6WxrmIioEddaWhZ7u5aNTilTr1cAoI6fq7GjUOq0fn0vJkZamLZt25YznWEYiEQiFBUV6SdmhMhhGGPHoFhpfkbNhHabQ9/Hg7om9MPc0pE+SUgIKW80VZ/0rVZiaELacKbU7ibGbd+xHXKUKUoNY7JXgIaj9ZNSx44dw7Fjx3D06FHOv2PHjmHRokWGiCPS0tIwYsQIBAcHw97eHqGhoZg6dSoKCgo4y127dg0tW7aEnZ0d/P398fPPP3Pmi8VizJgxA6GhobCzs0PdunWxf/9+zjLLli1DeHg4XFxc4OLigsjISPzzzz+cZVq3bg2RSMT59/HHHxtk34npoQYjYLrdZYQQYtrKY2OTFGNM6sKO2jOlzVyakBI95FMR5S+9kR0NYxQfsuseUyq5SNmj9ZNSrVq14vx+9eoVNm3ahFWrViE+Ph6jR4/WW+RkEhMTIZFIsGLFClSpUgU3btzAyJEjkZubi7lz5wIAcnJy0KFDB7Rr1w7Lly/H9evXMXz4cFSoUAGjRo0CAEyePBnr16/Hb7/9hrCwMBw4cAA9e/bE2bNnUb9+fQBA5cqVMWvWLFStWhUMw+CPP/5A9+7dceXKFdSqVYuN08iRIzFjxgz2t4ODfl6/IcpMrQIvzTeOjLnrpVrxmdgxNluUjoQQQgQytfYVKR2SUnpSivKX/hkjTekwktKgdaeUzMmTJ7F69Wps27YNvr6+6NWrF5YsWaLPuLFiYmLY1wYBICQkBElJSVi2bBnbKbVhwwYUFBRgzZo1sLGxQa1atZCQkID58+eznVLr1q3DpEmTEBsbCwD45JNPcPjwYcybNw/r168HAHTt2pWz7R9//BHLli3D+fPnOZ1SDg4O8PHxMcj+lnd8hZ8p9c4LLZz18USVKe03IfomvYtKuZyULyb1oAwxOXQBWPbINwdN4+khzYWQfp6UIvpi3Nf36EgSw9Pq9b2MjAz2KaI+ffrAxcUF+fn52LlzJ2bNmoVGjfT7QWl1srOz4e7uzv4+d+4coqKiYGNT/NHGjh07IikpCS9fvgQA5Ofnw86O+5E2e3t7nD59mncbRUVF2Lx5M3JzcxEZGcmZt2HDBlSsWBG1a9fGhAkT8ObNG33tGikjzL0IV9ccoW9KEUKIbqhTqnwzpcNPdW/pMI2OqGKCvimlh+2Upc9dlKV90ZbsDRGqu4ghCX5SqmvXrjh58iQ6d+6MhQsXIiYmBpaWlli+fLkh48crOTkZixcvZp+SAqQdZsHB3FEwvL292Xlubm7o2LEj5s+fj6ioKISGhuLIkSPYvn270sfZr1+/jsjISOTl5cHJyQk7duxAzZo12fkDBgxAYGAgfH19ce3aNXz77bdISkrC9u3bVcY5Pz8f+fn57G/ZSIVisRhisVj3xDAR+twHiUTC/V1UBJ8SjDah7/T15Bmthm8b4sKSbVciKYKnk3WJwigJTycbFKrYB0/n0h+xx1DnibOt+hFm3B2tDX6O+rraIe15yTu2GYVzRwi/CnZIz8or8bZ1Un7beKQMqeRqh8fZws8hK5Hq87QstAf0pbCw0OTTQ5f4WVqI1K5XVFRYkihpxa+CHZ6+yte8IGHJHzs3e2GXUU42xc8AqGpXlSYvAW24QHcHpD7LLdF2TOv7aSXj62qHhy/f6j1coWWIRCKBWCxG5Qp2yCzlc9bZ1hJisRgSRvs2piky9XoFUD53zCHOqgiNu+BOqX/++QefffYZPvnkE1StWlXniMkbP348Zs+erXaZ27dvIywsjP2dnp6OmJgY9OnTByNHjtRqe4sWLcLIkSMRFhYGkUiE0NBQDBs2DGvWrOEsV716dSQkJCA7Oxt///03hgwZghMnTrAdU7LXAQGgTp06qFSpEtq2bYuUlBSEhobybnvmzJmYPn260vSDBw+a7feo+oaI8FeqJaq5SrBv3z7o+jaovSWDt0XFV6fJKSmQf4jv8pUraOrM4KG7BRytgHNPi+dZihhE+TB4lgdcf8n/4J+2cevsX4S9D1V3VNQT3ceOIkvIrqiHVSvCvn37EOJsidRXxftx+NBhjKkFLL6pvO1PaxTh2GMRbmepfljx5s2bqO3GYJuGuFtbMBBLlK/u67hJVKYJn+beEvjYM9iWJt33Fq5ZOHz4CPjSLkKUBrcaIiy7XZxO/o4MHuYWx6OOmwSvxCKkvebveRgZVoTfEqXrSwrFsLEACt7tRzVXCWL9JViTZIkcsXSa9DjK6PzmMcvVhkGoMwP3Fzd5w7MQMahVgUFswFu1eaiCDYOsAuV9rOcuQUNPBquS1Hd6hbtL0KHCU5zVwz6lp6dD2/Er+lV+jflZ2m+7RgWJ2vwrhKSoCJ/UkHDyEQCMqVmIM08sYG0BXMjUbhsVbBjUcWdwKqN4vSouDPwdGRx7LDws+fzcM6gIO9JKPjy2MXTwk+BgesmOEwDE+hdhn5pyUZGq80Jf9LVf+jA06DVmXhV+Dt2+eAJ85UkdNwlbzvUJFuF2lggWIqCJJ4NXYmBzKn/6W4oYFDGa07p3UBGsLIAtKsIpiQ9Ci3DthQjt/CRYcKN433zsGXjaMVrVRTJHjx6Fmy3Q3NsCZ56oXt/WgkG+XB0oAoOqrgzuZBevU9mRwX+5uuXH6q4SJGWra19IWcASErmedhsLhq3T5NlDzK7X0c8CB+TycagzgzNnzqAkdVy/kCK42wIH/7NAyiv1+9yl4nNceViyumdUWBFWJlry/o6oKEH8M9M4T3Xh68Dg0ZviNPywehHnmHsXAZqOVWNPCexfJLHL7f9nv9p1tGm7edszePJWWL7uGlCE3Q8sEeLMoKFFGpI8LBDszCAlR4SGngxOPBbhbk7xdocGZuOItQVOaFFvVnJg8FguvXJzc2HOd58crBiIAOQWitDb7xUWvix5O02RLD99HCbC2aciXHvBn943b97Evhc30KUitDpnm3hKNLajrEQMbC2l+wkAbX0lsLYA3G0ZJGWL4PzsJvbtu4ns7OJrn5LoElCEPQ+U6yHF/BPszOCehjIMUL7+UKd3UJFW14UOVgzCXBnkiEVIzpFuQ1XZrk/Z2TmQT2vuNZB5Efo2mYgR2I19/vx5rF69Glu2bEGNGjUwaNAg9O/fH5UqVcLVq1c5TxIJlZmZiefPn6tdJiQkhH0l79GjR2jdujWaNm2K33//HRYWxSfZ4MGDkZOTg507d7LTjh07hjZt2uDFixdwc3Njp+fl5eH58+fw9fXF+PHjsWfPHty8eVNlHNq1a4fQ0FCsWLGCd35ubi6cnJywf/9+dOzYkXcZviel/P398ezZM7i4uKhNA3NR9buDGpcJ8nBQeiLk7vcdUHPaIYiLpFnx46hgLD95j53/S79wdKot/X7XPzcy8NmWa+y8+X3qoGt4Jc7224Z5wkIkwqHbT9nwZfMmdqqOPdcf49p/OSrj+Nug+vB0skWPZecBAIObBuDP8w/YsACgzozDyBNLONO+23ULmy/9x4ZzaUI0KjhYK6WLbHkA6LvyAq48zOaNx9QuYehe1xcNfjwKADg0tjmcba3QdPYJpeWm70nkTAtwt8eRL1pi9Zk0zNp/hzf8z6JD8cuxFPb3ya+iUMnVjo3vX6Mao3IFezT7mbu9MB9n7I4rfp1Vtnzdyq5wsrXCmZTn7H4WFEpQa/phpW2HV3bBto+asuu6O1qjmpcTzt97ya4rFovxycojOPGuc0E+3fjStO2CU3jwQv1drJqVnHHr8SsAwMgWQfimYzXe8ACgjp8Ltn/ctPi33DGX+alHLfSJ8FMZJ1Vhy3g72+L0N600LqdIPk/L61XfF9uvPBIcDgD8M6YZOi0+qzS9sps9/lNzV1BVHFRN52NjZYGbU9txlg90d8DhL1pwlms976Tgp7mWvl8P7Wt6Ye7Bu1hx6h4bJ7FYjJozjgkKAwCGRgbg93PS837Xp5E4efcZ5h66K3h9U6HN8ZBpG+aJI4mZOodz9bs2+O/lW3T+9ZxW29XG3e87oOuSc0jMeKW3MMdEh2DxsVSl7Xy+5Sr23XjCu86AxpUxvWvNEp+//m72ODqupdr1ZOusGlQfH667ojY8vm3KxC4+g7tPdXsCYtenkei2VPm4yofPR9s8CBTXScfvZGKk3P7ybVs+fL56umd9X+xQKBsD3O0R7ueKPdcz1MZDPvxRLYOw8lSa0rYAIGzqIRTJfUH6l37hnPaKTEhFBxz4XFrGbbr0EFN23Wbnvd+oMvpE+KHX8gtq4yQzo1sNdv2bU9vBxor/4lNV+t+e1g5dl5xDciZ/fgip6Mg+LTOlcxhm7OW2NfjquVvT2qHmNGm9vycuEl2WKOeX/Z81h5ezDRr8KLxMNoa733fA8D/icSq5uF2jSF3eHt4sEBM6VUfy09dsPXt7WjvUmKbcLgKAnvUq4efedbDoSDJ+PZ7Ku0yYtxN2j27GmVYkYRA29ZDafTn4eXMEV3RUu8zOhEf4etsNAMLaMDLy6dJuwWncfyFt5/O1+YWShTl2yzXsvaH+HNUUhi7tM/nlAOBJTh5azDmpUzwAoFW1ijhx55nabQBA9PxTvG2vKZ3DMKhpAAqLJLz5x9/NnvdJLiH1g18FO8zuVRsD1/zLiZNYLMahQ4fQvn17WFtbo/vSc2wbWhubPmyE91ddAiC9DhvWLJBzXslU93ZC0pPXnDi8v+oi/r2fpTb8u993wKcbE9jrPgD4c1gEBq+N510WEF4nyZbfGv8fJu68BQDwcbFFRo5hn1aTv16RtZXNVU5ODipWrIjs7Gy1fR6Cu1qbNm2Kpk2bYuHChdiyZQvWrFmDcePGQSKR4NChQ/D394ezs7NWkfT09ISnp6egZdPT0xEdHY2IiAisXbuW0yEFAJGRkZg0aRLEYjGsraWvPB06dAjVq1fndEgBgJ2dHfz8/CAWi7Ft2zb07dtX7bYlEgmnQ0lRQkICAKBSpUoql7G1tYWtrfIraNbW1mx8ywO+d7Ktra057ykrHlsrKys2jSwtuVnW0tJSKf1EIgvORyXl51taWkIk0nDHwNIKVlbF25GPjyws+fjKpimGa21txXts5aepe0fd0tISNjbFy1pZWcPKWvmUtbRUvtsgEolgbW0NSwvVd8QtLFWnszRcK97tycLmm24hNzShtbU1GBWvqYhEFpwwLEQiTvppSje+eUI+xCgfP768w1lWxX7Ks7JSHYaQ81pVWmqiah3Fc0dYWPzVgKb0LMl+y4h4lheJ+MIQfkfK8t0xEfGct9qwkDt3rKyslM4Xc6HLvvOVkdxyS/23JaT1mmFfQTJEvclXlirmJUUWFhZax0VV+Sk0HEsr7jkrZD1ueat7Xray4i8vDHE8ZHUS33FRt22+eppvn6V1lua0UGxDqNu2PMX2ityW2fWsFJYRWVjA2kp4WsrHx8bGGtZallM2Njbqv5UjN8vKiv/8UDeNrw0hXcYKVmbQ9rW2tuZ8pVzbfC4rH+TrWXVhyNpGFuryPE9ZYSlgOD3FNh4f+fykzb5yyhe5dlZJPpDNtq1LMOR1SdspnLxsVaRmSc1UpYViXFQtJ2uzWljyH2tLFekkbF9FnLKdr0y1trbW+bta8mHL9oOvXhXxnGtCtmltbc3Jd4rbVFxWG3xldWl8X0xxG+bcVyA07lq3TBwdHTF8+HCcPn0a169fx5dffolZs2bBy8sL3bp10zqiQqSnp6N169YICAjA3LlzkZmZiYyMDGRkFPecDxgwADY2NhgxYgRu3ryJLVu2YNGiRRg3bhy7zIULF7B9+3akpqbi1KlTiImJgUQiwTfffMMuM2HCBJw8eRJpaWm4fv06JkyYgOPHj+ODDz4AAKSkpOD7779HfHw80tLSsGvXLgwePBhRUVEIDw83yP6XJapOY32M8sFuQ1j7SiVG4fOOupY9Qj5sqU3BJkJpf2SQf2OqYmzsb0AKSRpT+9ioKVM8D8ozY+dtcyOCqGx9EFXNvlCZYroMkQXVHW3FeULKUH2WLboEZYjcKyTM8nzWGOuD2eX5Q93lQWmMkKePer0sfGes1HfB/JNMkBK9HFu9enX8/PPPmDlzJnbv3q30bSZ9OXToEJKTk5GcnIzKlStz5skyt6urKw4ePIi4uDhERESgYsWKmDJlCuf7T3l5eZg8eTJSU1Ph5OSE2NhYrFu3DhUqVGCXefr0KQYPHozHjx/D1dUV4eHhOHDgANq3bw9Aelfp8OHDWLhwIXJzc+Hv74/evXtj8uTJBtn38kLATR4zoP+dkK9iVNU3ulZDhihUhYapHGf+vTClbFEG6lFextwvoW0ofXZa60LTk0FlT8l21lyvfYzZwWSuaVYaDHnuGeW0FvH+yf7WJi/Ip40hOh1EKv4Wvj7/WuW5g0TQnmuZ6fWVnOWrntNOad2o03QsDXVj2NyPvcHr7/JbZJUavXyxzdLSEj169ECPHj30EZySoUOHYujQoRqXCw8Px6lTp1TOb9WqFW7duqU2jNWrV6ud7+/vjxMnTqhdhqhhCie1CZW82iSHNgWuMZKZb5ul+bSNKWQtbem7Xa7P4EzpCRBtTlkTOr1JGUFPDRK9MlB20qnTSMNKnKjqscIyndrF/JTnDj2iWknzhZB6zhg1YXlt03H2u5yc8ub5kQxSruj1QltgYLqU7UoFp747HPR8e0Tn1xJ1vIurKYzSuPDTap8FLFwW6glzqO91yRslzU/lud1vLo1Ac4mnEOU4u2mk83HmPEWkl6jopf6Tp89XbgxSp+uQ9kIujs2pfNV3OaNu3xmF/3nX5w2zfLRXjKmk+aCk2Uh2iFUd6hJ8ekvwK3W6vnpXkrxnitV8qd+oMsVEMADqlCKlKtiDf+SPkHcjgtiqGDlGxtXeWu1vAPCrYA/fCva867s72nB+841UI6TMreLlpHE9KwE1RIC7g8p5FRxslCofG56PmHo5K39AX0Zxf+UpxlcxLVSlQ6CH6jgL/R6Xvxs3jBBP/nzhaqPfklh+5BlPNemmCyHH2xQo7re9Nf8HVYM0jNKjD3znUSBPGeFoI/yhXlme83K20zlegMJrMeWsOe+vplwCgDAfzSPGOtio/zi1Pqgri3ShqkzwdeWvT/SJL9+r4/GubNelHCtJh4C9jaVeOxQsLUSoylMOAMV1kgtPPa+Km0PxsqFy4VZyVS4PGAbw5ZmuL6raMwFy+dZNoY72drHT6tyRL791eVJCJBLBR03+lj/HPJ30V2eKIOLUmWE+2g2UZAiq2lKV3XQ//2Xnp53ccVLXxvQRkB/VtRvlKeYjOxV1vTx9tLiC5PKMptH+zImqkS2F4rte4aPqLK7goLo9DwBBPHWItaWwMkFTnV9SDnJtONl1Cd95xbcPQvO7qus+fZFPydLI1/pu35gD6pQiehMoV3B0r+eLNmFenPnDmgdhZu866FHPF2uHNkKv+n74c3hjAMCaoY3QvZ4v/je6udptNK/igdg6PgCAOn6uaFWtePTGP4c3Rq/6fhjXoRrGdaiGXg388Me78Bf0q4v3GwegS7gvJ7yGgW4a94vvgnT5wAh0r+eLPWNa8KwBfN2xOhxtpYXwrF51VIY9uUtN9Kzvh40jm3Cmh1d2Rec6lRS+FwG4Oljjy/bV2GkxtXzQsZYPPm0dynuh0L2eL95v7I9F/espzZO/4zG2XVVU1NDgXD4wAj3q+WJG99q88/kaxLZWlvg2JgwikTRNNo9qih71fDG1a00AwM645uhezxcL+ynHDwCifBj0qu+LFYMiONP3ftYCzUI9EBHohq0fR6qNt7yZvepg2QcN0LdhZQxsGqA0n+/CRUZTY23X6BZoG+aFhoFuWDuskaD4yKfYzF51MLRZEKp581+g6cumkU05v/3dHfDXR5HoUc8X33WRHpd5fepiznvhaBTEPT9q+bqgRz1f/PyedFAHWV50shXeadS+pjcW9KuL7vV8seyDCKX5srDl1aikuRNERpatBzYNQN+GlbHsgwa8y8nKHlXkszPfufV+4wAMbBqAn3sLH+Biy6immhd6Z/H79dGvoT/Wj2iCev4VeDukFXWo6c07XRbH9SOaYOm7/K+KXwV7fNelJrrVlZaV/u72bPm0dlgj9Grgh78+aoohkYHoVd8PABAXHcoJQySS5qv+jfzZaTG1fFDRyUZlB7Q2Pm0t3d4PPWujRz1fdK3rq7TM2HZVIRIB7zf2R6jAbfZpWJm3ofx5u6qc35Njqysts/j9+pzfI1oEs3+3q+GNE1+3Ro96vvj7XXm1clAE3ouojI0jm3DOKSFEALZ81BTd6voqnc8l1aJKRaVpsgubZqEeCK7oiD1jWrD1sFBz+9RF42B3tKvBbRecm9AGq4Y0ZH/L0r+atxNbJzUKcsOw5kHoXEd5hONvYqTHoue7vLh/bBQ7b+Wg4nr6k9ah6N2gstL+jWlbFb0a+KF5FQ/0bqB8XszvW1flPsm2LSNfTsTU8uF0MLSv6Y35fetKj7VcmdE2zAsfNPZHuLsEPev7YmTLEIR4OsFPzQVWx1rF53mAhwNGR1fBpNgaKpfXJK51qMp5s3uHY2JsGMa0qYKOtbx5600AGNOmCgBg92hum0jltzBF0gvVrztWxxftqmmsMz9rWxXd6vpiUmwNiETFx1tR93q+WD6wATrV9kF1b+06uiaqSMPxncLQq74fNnzYhHe+TIsqFdGzvh+bx8N8nDGkWRAAoLKbA8a0qYIJncKURgn7tHUoWlSpiF4N/DA6uorK8GX19Pc9+Ntgk2JrYHR0FcS1DkG3gCJsHdUY3er6ol9Df3zWtqqgDi8+fPXWoKaBKsvV2b3D4etqhwB3B8x+LxzfxFTH2HZV8X33Wmq3MyQyUOf4yMh3Sp+f0FZjWOtHNFFZJ8naqTKKbWSh8ZWJquoJSwsRnO2s1J7f8g5+EYX5fetiQJMAtvzja2vX8nXBjz251xrd6vpi12j+axSA2yH/Q4/aBnsax8PRBjV9XbCwXz283zgA3etJz91vO4YhvLIru9z6EU3wfQ9pnf7XR8Xtelm7VObL9tU4HcjLB0rbeGPbV0VkiAfcHKyxM079tSQA/P2x9Hw6+EUUetb343TgxdTyQde6vlg3gr+duKBfPYhEQM1KLvikdSjbXgKkZdPmUU05dfNfH0ViWteaiK3jg87hlVBXbr/5rBgUofJaqyzTyzelCAG4jY9F/aUN9JiFJ5GY8QoAMLWrtEJa+G5etFynVVBFR3adXXikZhsiLOW5kAWAqGqeiJLrpJrftx77d8/6ldGzvnKDU9c7vv7uDmx8+cTJNSz6Nw5AYsYr/H42TWk5d0cbLFDokJnRvRYGRwbxxFUa2TFtq2JMW+5F0jcxYfgmJgxB4/dypltZWmBmL2kD+PPNCZx58h+XH9uuGjRpHOyOmNraXYgAwCetQ/GJXKO3aYgH+3c9/wpq09HGEpjdtbbScKK1fF2xUeFiTL6idra1wqt86ZD0G0c2QbPQ4guRTnUqoRPPxQ2g/asU8tus6euC1UM1d0alzeqsdJwAaScHAHRccFKrOHDjo3kZvqeTGge7o3GwOwDuxfTWj5tx4rqgXz1Uk2voy/LiposPMGH7daVwgzwckPb8DWfab4OlF6B85+OCfnXh7cLzRINCa2nN0IZoE+aNdvNPIPnpa979tLWyxM/vqb6gbFlV+eJbnrqkTJvVmfP7ysMsbLr4QG14ANBELu9r0rVucWdLi3dxPZr4BMN//1dtfI4lPcWwtZc48/s28kdfuQ6i2DqVUCQBtl3+T2U4v7xfH78odLREV/dCdHVpuT39XYNp/rvya8mxFHY5WUf+rN7h2HzpIQAg1MsRy991LvPlf3kONpYI9XTC9fRsdlrzKh44k/ycjT8gfRpuYf/6ePoqD7uvcuuNse2qseWaRMIgZOI+tdsEAGtLC8zqFY6Bqy9wpjvbWWNy5xr4Ye9tAEBMLW/8sC+Js0zXur4Ys+kK+/u7LjWVGtML5cq6DrV80KGWtDyVL5+EquLlrHR8AKB/I382zXXxYctgnE5+xv7+rG1VjGvPrR9q+bpi6QcRmPK/G/jz3H1B4b4XURnvRajuDJVZ+kEDhFeuwJkmEonY9sNehbwT8y4NF/Srp1SXKtbT8951MMnyn0gk7VCXbytUcrXDr8eSASif5wD3KZf+jfg7aABg+aAIJDzMKv49MAKWFiL0Uuj4srAQYVrXGti37x5iY2vD+t3TLGfGt8Gea48weqM0T8nn/0X96yPsu/1sGF91VO4k1YajmpsKXi52GBVVXH//0KMOHmfl4UjiU85yX3aoji87SOMh0WLkGvm2Ulx0KKccAYDO4ZWwZAD3xsLIqBAAwI4r6UrhsW3P2tIyYsTvl5TiqoqrA/+TLBUcbNhyTh2+9pw8Wfoo+iYmTEj0OPU0H1m6iMVi7Mu/g2re/GWEtpqEeKBdDW8cvv0EANCrvh++71Eb8fdfoPeyc0rLe7nY4axch9CnrYuP8ZOcfPb8UlTT1wXWliKIi1TnH9k5KX9unk1+hgGrpGX2lSkdtNgzad06v2899FhyhjN9RItgDGserLR8r/p+2P4u303vXht/CCz/AGl5k/JTLACg+ayjapYrbn1U83ZGNW9npXJD0cJ+9ThPzfq42Gk89tV8nPEoOw+AtMMt81W+xn3Qlvxx6lHfDz3kOpNdHax5O80WKlwTKL7x0aq6J+oHuLH1tOxcd7Gzxia5DsuzKcX1WHVvZyQ9ecUJp2GQOxoGSc8nvvpDnUqu9rg3k1s/8KW3/P43DnbHULk8pa4d1LGW9tdaZQE9KUXKHfnqTsiresb8yK0ht6xpRDNGhwjQN15ISah6TU5VvirJ0MKaXnVR/MakKQxjrM8omPrHuxXLp/L2CqWujP3dk9JWko/78qWVpvNCm2/PyudhM3m7WxBDfQ+KN++aUYbUZ1SNVd2orudK4ZufJlTGm05MhNHlnFRcRcgRNoFmkNHQAAOGR51SRG8MVViZSzmgr4s8+XSUbyDoOxm0uJlpkO0rKo+Vnb4rOWM16lR/0F4/8VHdKaWX4PXAZCJiso1pbfOmYvkkX74qZSsNya+PbKjNoA3GVOJ6yMgjXZrShakmmo69/BNDupSFplO+cWkTL2MfTW2S0NhxNTe65E+1p4FIVUexhnhoHw2dlWRbmj4JwM7TIWzFdNO2uBGpSHtTZeo31fStvOwvdUqRcsdQDQ9DF+j6vvjR9skPTUubbIOufJTlpULbPK5tntA2j5fWoTW1jofyQLF8ku+sMKfGs7kxduNX2+2X9qmpTd7T9saP0rYELENFk/6UeHQ0vcSibKOyW8rg1wuGDd6o9N4ZKjSMkgdBNKBOKVLuaLzrYkKVJvdVAf0WiUUaWsy6pIMppZ3e8ewbVVKlQ9WFKn/Hqn4yodLDOGU5b+uZPhqAmsonbdBj98Jpk8+N3YFlbIp1suJvTa/I64MpHgFdTzdT3BdtmHv8jc1CJDJKGvJlV6NWGbq8iidS/G2YHTCVMp/aY2UTdUoRwkOXDiB1ZaSu36NhJMV/67uOMbXX90pKVfy0enxf4OPV2ixTHhi6oaLy9T2DblWehu9PUQNJrxhG/QV9eT/vSnrBYejXakvC1F/f06asK2mnlCl8x66kyvu5qitjXfyr/KKUNh9T05GpfLvRUEy5bBNBJCjPmcrh0TYadGPKPFCnFDGoUJ6Rvowt1FN9nCo4WGs1xL0M31DiJWUlN0SprZXw01VIAexbQf3wwM52VrCR26Z8XPgEVyz5UO8lIT+qXHWf4hHiXOz4R9ThU1UuDCH746YwKog+8I2OJ1RlN3sEejjoMTbCKA6VLFPD10WrcBRHWZFRtU9VedNKP40P+eGzNZ1Ohjj3hbJRUy6oi5e/m+HyiaYjUM1b+bgFuHPjo3geqMvX6tJAX7xc+PM432iRhuZqr7pM86vgoLEMUHXhZ20pUrro8Cnl/XO0tdRqeXsb7ZbXRNNFl6d8WaeQ0WtUktY7NpbS/KhN3cPHw5E/z8kr6TZ0EeghvK63t7Fi86ODhmNVyVX/eU3bTo6SlOX+eqwHfFy5YcnylCmoXEEaN2c95z13J/76X7FuKA2VXPmPZUmOsdD2In+7hktVm0uGr45VJH8tZGkpUluvsHETEK6hOdpaoYKAuOq7bPRQkT+J/mh/5U2IFmZ0qwUXOyv0beiveWGV9NvDPaVLTdhZW+C9CH/MO1g8rPfcPnWRmvkaEYFuEIlE+KpDNbjaWyMlM1dQuB9FheLZ63y9DuXpaGuFyZ1rQMIwqOCgvwJx2yeRqO3nigcv3rBDvMvM6lUHj7LzUKOStENhYmwYLEQilQ2Qvz+OxLbL6fg2pjo+Xh+vc5xKegPmp1518PRVPgoKJVg8oD5O3XmGhy/foE5lV43r7h7dAhsu3MeXHarjwYs3+Dv+Ib7pqHqYZntrSzQNcUfrap4aw141uCE+/PNfwfsxo3stuNhboU9Df2y++AB//fsfO69HPV90r+fHWX5Q00AcTXyK6j7OGBkVgm71fLH0WAo+bBmMDRceoGmIB9acuYeL914IjoO22tfwxoctglHXvwIA4Ofe4Xj48g3ioqsgIzsP8fdfql1/Yb96uJ2RgxZVKvLO/7xdNbwpKMKGCw8402f2CofnoST4uNhjweE776aqzkmOVgxyC4vLkx971sakHTewZEADxG28/C7MOkh8nIMBTQLww97b7LLq8ueHLUOQkZOH9ecfqFzm63fDtm8a2RS/HLkLdycb+LjY4c6TV/B1tceWfx+q2YKytUMb4cDNDN5hq2XWj2iict7HrUKx6MhdrbYplJWGC6jVQxrh16PJiKntg2UnUiCRMJjXty5azTkOQPqUwI8968Dd0Qahnk5IfZaLrztWVzr+MhUcbDAptgbeFBThyas8dA331fcuoUu4LxIeZqFxEHdI9v6Niuu2XwfUx+iNV7BxpOp0L4mf3wvHg+dvUJenTPtzeGMcvJWBj1qFoEd9aRkwqlUI/o7/T+NFjo+LHVpX98Sw5sF48OINO31osyD0bah+KHJ9+aFHbbzILUCIhptG8r6NCSu1TsElAxog/v5LxNT2YcsFxc7qpQMjsPjIXfacrO3nis/aVIGfjheyzat44KNWIQjzcca2+HTOvJm96iAjO49zA0aoFYMi8NG6eJXlw+FxUVh37j5aVOWv375oXxV5hUUqzzORSIQZ3WvhVV4h/CrY48/hjbH0WAoGNg1E119Pq4zX+40DkPL0NVpW9WTrTHVPb8jaKsEVHfDFlqtanXdd6/qiXQ0vfL45gTN9/Ygm+GDVBaRnvRUc1oYPm2Df9ccY3aaK4HU06d/IH8lPXiHUywm3HuWoLedL2yetpftZ3ccZY9tVhZezbufgiBbBiKntg2FrL6Fr3Uoq21Ojo6sg560YsXUq6RznqV1rYvruW4KXH9g0kHf6J62r4MWbAsTUksZldu86+HbbdaXlPooKwbPXBdh2ubj9FlWVv32jSFb39W8UoHKZLR81Rdt5J5Smy7dl5c3uXQfpWXmo4uWEpceSERHohq86VoeXiy0sRCI42VohvHIFjGlTRe0Nq++714arvTX6NQpAjyVn2OmbRjbF7muPsFFFHV1Su0e3QNdfT2NQ00BU8XICwzAYHV0FAWpuwMiXv3+cvV/iOLSq5omPokJQU8ubrars+LQZei49y/4e1jwIBYUSdKqtez43d9QpRQzKw8kWM3uFGzsaHG6ONrxxei+C2/ge3aYqAGDarpuCwrW3scQPPerwzitJh8uHLUNKsLayb2PCEBEovbCa0b220vz+jbkV4aioULXhNQxyR0OFCzVjqOhki51xzdnffRsJ7witU9kVsypL84Snsy0iAt2UlpFvHN/+PkZw2O1qeqsc2YTvCRz5c6ZBgBu+7FAdTX46AgCY/q5BIK+atxO+71F8HAM9HDH7Pen607rVAiB9+mDQ6ouC46yKqgsECwsRJnepyf6WT/ttnzTDqlOpnA4eRT3q+6EH/FTOd7K1wo896yh1Sng6S9PqWOJTobvA8UGTQHzQJBBZbwrYaW1reOH9xgEQF0nUrMllZy0999V1StXxk3YkRIZ6IDLUQ2m+tp1S0WFeiA7zUrtMkJqn/fT9hIk2/N0d2Dyqah8qKtQdmr4xNTJKfTkZ5uOMxIxXGuOmKo9bWogwtav0fPrveXE4VhbFHXBdwn3RxQAdYjLqbu5EVfNE1LuLOvky4NsY5c51xSdpfSvYYVZv6fL3nxffhJGVH6ro800OVReBqvi42OGT1urrJn3qHF4JncMrqe2s8Ktgz6ajzDiFi0NtiEQiTOhUAwCUOqXeb6z6glWTjrV8kDars8r5VbycMZ2nbSDjbGeNn3ryt3VkBkcGsX/L8mNufqHadawtLdRuV5F8W6Vnfe06TyfGhqGSq71Sp1RQRUfM7h2OgasvCA6reZWKaK7ihoqutE0LvRFwUsvXHWPbVdN5U9+9azPcmN5R7eYd39X/JTGseTDyxBLM3p+ocdmvO1ZX+fStYju/X6MA9HvXeZSS+ZrtKPomJgyWFiJOp5TQV8gU6z4+qt74kG/Lyusn18HVrW5xHaXYvlfszFKk6ppO1q4xVKdUncqunDJLJBLhq46ay1ZZ+fvnuZJ3SolEIkyIrVHicGTqB7ghbVZnBI3fC0D6JKmsjVFemc7zoIS8Q6/+lk9l+bCXZN80vn0g4IQxle8AmAX6oL1JMqVjUJa/T6FNUVHey5WymwsMwxinTTnPoiZH03eLzLlMMW7cqTRSx9yrbHM+L7RBnVJEbwz1YUZzL0xMjSHTsyQFZ1kuc/W1b8Y+F0z5Q52GJBIpf2tH+zBKHo/y0jAxdWX5Y7zmwlhloSkce2PXA7rSpf4or3WOqTF+rjcvpZ9r6QipQ+WIeaBOKULKIHXFLxXNpkPbiwveVwD1ExVh2y8PDR8DJagJXMsSopG55FNDxVO70VqNU5uayzFSpEtylYs6x4RQeusHpSLRJ3O9EaEt6pQipBRo04g0hTuxRmHiu12Sw2Ls+sTYSWuOWdoc4wyY7qtl2kRL6PfXjMVU01g/tHqBz2CxMFXyebM0c0GZznIGpFU5zsj+K3/5mpSccc9RKiDUMYfyU93TXObaHtUWdUoRk2cGZQl5p5yUm0Zj7IrVZCtGuXRRF0ftrk+Klxah5Bcqxj525V3Z7kjSjmJKyKeNdjdQ9BMfXZTnw1me911f6HUeQsoPOtvNA3VKEZNTWWE4Ug8nG4NtS9NQ2QAQ4K56yFGhAtUMW6pIHxdPYZW0HyZaH6p5Cx/OW4mJ1xp1/SsAkI4Ep+u6znbcdWtW0jy0rJ11cTFtZaGcSD4ChkR3dzDcOSSEvi+i3BT2x8NR2P4FOEqvoi150lGRhVykHWwt4VdB87DuDmpGtFOMsy6ElIXGPtaqCEk/x3fpF17Z1dDRUeLy7twUcpxs5UZmsrI08YJLSxWdbQUvG+ihenRHc1CDp56s7KY+n8qPPCakHNGXGnJ1hYUOBars/OOro13srJWmGYJ8vO2shY3+GaxmBFEhVLXxbPlGVxPJ/jP8cQ31lO6Xv7vmcrE0ealoT+jrCX7F9r2iuu/KfneBdTogvG71rcC/by4KIxqrWk4TbdqGNX01t/00sRd4DhEgzKfk6W0MsmsGY7SJjEH7qytCDKxPRGWkPc/Fy9wCVHZzQIMAN4Nt66uO1WFlaYEu4ZVULjOwaSAycvLQ6t1w27oYHBmEp6/y0VpAGCWp/Pd91hJb4x9iTJuqKpcx5F3Wb2LCYGNpiW71dBgW3VSfwnlnyYAGWH4iBYMitRu6HACWfRDBWfefz1vir38fYnR0FY3rVnCwwYzutWAhEsHBprjIXjkoAtfTs9G2hpfGMOpUdsXXHatrvODSRNe8o68nKn55vz4ePM9FfYUyIbxyBfZvdXH8oIoEd62DMEhuuHJVrC0tMLNXHbwtKIKXsx16NaiMlMxcNA1xV7nOrtEtsP78fXzSOhSbLz5EFS8nFEok+O/lW9T2U9+o+GN4YwxZc1HtMvUD3PBVh2oIUNMZoK9jrS9/DG+MsynP8F6E5iHb/yeXfor0+aTTgn518SQnH+1qeGPewSSIRMVDYWs6TgDgam+N94KLUKd2bTjq0EltyhoGumFc+2oI8dTcGTC8RRBe5OajTZh3KcRMf/75vCW2XHqIz9oq15P9GvrjwYs3aB5akXfdik62mNa1JmysLAV3rOjDVx2q4/czaYip7QNrS+3vJ28a2RRrztzDhy2DleYFaHHTrCRsrKRlar64CJ4aOj+3fhyJAzcyMDpadVtGiLHtq4EBEFunEpztrNBl8Wl8HBUCt3edHnvGtECXxaelC5fi63u/D2uM1afvYXhz5eNhTK2reeKzNlVQ09cwF8Gy9n0zFefX8kERWHEiFYO1aGfV9HXBNzHV4euqvs7rGu6LpIxXaBjEbT8EV3TEpNgauPpfFvzdHdCtrp/gbcvzdrHDlC414WBjqdRhHV2d2/af1asO/CrYo18jf522BQD/G90cHRac1Hn9knKwscSbgiLOtH2ftcS682nYdPEh3m+s+77p28TONeBga4me9XU7tsayM6451p27j49bKbeJyqKy1ZoiZYKVpQUmdKpRKttytrPGd11qql3GxsoCE2NLFh99hCFETV8XTPWtpXYZQ94FdLGzxpSu6tPTXPm42mFaN/VpK3TdGpVcMLWr8LAG83SidKjlgw61fASHESegA0wTY7++162u5s5OdXF0sQG+iw2DtbWwJwPebxzA/m1pIcL4TmFql6/i5cQe58/baXcxJbTTe7SaDmcZfRxrfWlVzVPwvsmnnzolLcN61i/uIFs2MEJpfo96vtiZ8EhtGC19GMSaUKNbG4r9eyLOPBFvZw0fWytLTOpsfuV9jUouKvOZkPbHUCN0JNhYWeDOj510Xj/Aw0Hn+kuf5MtUdRoFuaNRkOobAEI52Vpx2nh3fuCmoZBOaEPwdzeN46FIJBJh3LsOenn6qvo1nV+VXO11SpdPW2uu8ywsRPgmhr8OHxkVovU2+QxvwV82VFJ4UtjDybbExz/UswRvJuhBTG0fbL+czplW09cFM3uFY2avcCPFip+rvbVWbW5j4LvvFuoprE1UVtDre0RvjH3BSgghuqCyi8ij7EAIIYQQUnqoU4oQE0Mf5CWmqjx03tAHcAkxfeWhLCKEEELKC+qUInpDfSn6oa8PShJCtEfDgZs+OkaEEELMBV0eEaIZdUoRvaG+FPNgqp2HdKFp+kw17xBCyhcqiwgpPdS+N21UHpKygDqlCCGECFIeGqb0+p7p0+UY0VEtpvShc0ocQujGGCGEGBF1ShG9Ca9snFFMyhrfCoYdyt1UhopXVMtAQxATZXXfnav+7trlBRd73QZsLc085+WifqhxPjZWxVWhrbXxqkW/d+d+/YAKRouDOdAlH9bRYpStat7OWodvThTTomYlFyPFRHtW74Zar+dfwbgRIWVWRSft65CyLqxS2S4TzZH8vQQnW93aZiVR1YvyhD7RvSGg9HMxKbOmdamB/BePMK5XC2NHxSz9Obwxrv2XhfY1vQ0S/roRjXH1YRY61vIxSPgl9VXH6nC0tURsnUrGjkqZt3JwQ6w9k4YPmmgenvvQF1EY/scl9G8UgMpuDjptL6a2D77qUA11DXghuWpwQ6Q+e42IQO2HEXe0tcKc98LBMP9v787jazzzPo5/TyIRWcUWWwixxC60tTVqUEk9rQ7RDtoi0lDVWqu0VaXVMVWiarTVPkXHeKat8uiYMUhbVG0VS80oQexbLBGJJfv1/GFyOnlChdzOyfJ5v15er5Pr3Oc+1318c52c37nu65Z8PdzuQe8K5/Oh7bVk23FFdQpyWh+Ks/f7h+ry9ay7yuFrjzZRZW939Wpd87bbRj9YT+lZOeoaUu1uulnsvdKzifw93dUwwFuHzl3R8EJcTr24WD26s5btPKmhYdZcwh3IkzcDs0kNX01+tKlqVvRwco+Kj1HdGsrNxaXY/v1YFrm42DSnX2tdychWgK/jszrkwSBdz8zWQ41L5/ukozFPk6IULFTR002P1clVw2rezu5KidS5UVV1blT1nu0/rGFVhTW8d/svKu/y5TQ+PMTZ3SgTAnw9NPGRwr3WDQN8tPHlrkV6PpvNphe6NizSPm6ne9MASXdf0H3ivkDrOnOXAit5Fvr/pSzq1er2BaVb8fVw08sRhXttPdxcNa5H47t+ruLuTl6L4qZBNW9NKKF9R/H2n6fvDXmwnhN7Uvx4upfTS+Gld0wsqR5vXctpz12+nKvGluL3STgep+8BAAAAAAA4GKfvlZCi1NGjRxUdHa169eqpQoUKCg4O1htvvKHMzMx82+3Zs0dhYWHy8PBQYGCgZsyYke/+rKwsvfnmmwoODpaHh4datWql1atX3/J5//CHP8hms2n06NH52tPT0zVixAhVrlxZ3t7eioyMVFJSkmXHCwAAAAAo2biYBHB7JaIotX//fuXm5mr+/Pnau3evZs+erY8++kivvvqqfZvU1FT16NFDdevW1Y4dO/Tuu+9qypQp+vjjj+3bTJo0SfPnz9fcuXP1888/67nnnlPv3r21a9euAs+5fft2zZ8/Xy1btixw35gxY7Ry5UotXbpUGzZs0OnTp9WnT597c/AAAAAAgBKnLFy5GCiqErGmVEREhCIiIuw/169fXwkJCfrwww81c+ZMSdKSJUuUmZmpBQsWyN3dXc2aNdPu3bsVGxuroUOHSpIWL16s1157TT179pQkDR8+XN98841mzZqlP//5z/b9X7lyRU899ZQ++eQTTZs2LV9fLl++rE8//VT/8z//o65db6yzsnDhQjVp0kRbt25V+/bt7+lrAQAAAAAAUBqUiJlSN3P58mVVqvTLVZa2bNmizp07y93d3d4WHh6uhIQEXbp0SZKUkZEhD4/8VyioUKGCfvjhh3xtI0aM0H/913+pe/fuBZ53x44dysrKyndfSEiI6tSpoy1btlhybAAAAACAko3T93BbhKRkzJT6/w4dOqS5c+faZ0lJ0tmzZ1WvXv6rZQQEBNjv8/f3V3h4uGJjY9W5c2cFBwfr22+/1fLly5WTk2N/zOeff66dO3dq+/btN33us2fPyt3dXRUrVizwXGfPnr1lnzMyMpSRkWH/OTU1VdKNda6ysrIKd+DFXN5xlJbjgXORJ1iJPN1eUV6b++pWVPyxFNWv4lnqX2OyBCsVhzy1r+evrUcuqU6lCmU215UqlCsVx14c8oT8cnNzS+T/B1lynLr+HqX2dS7scTm1KDVx4kS98847v7rNvn37FBLyy+V/T506pYiICD3xxBOKiYm5o+ebM2eOYmJiFBISIpvNpuDgYEVFRWnBggWSpBMnTmjUqFGKi4srMKOqqKZPn66pU6cWaF+7dq08PT0tfS5ni4uLc3YXUIqQJ1iJPP1iQkvpp2SbjGxq4Z+rVatW3fW+Hq8iVc2xqX211CLtpyQhS7CSM/P0aGXJP8umdtXSyszvb57nQmy6mCEd2/2Dju12dm+sw/hUHNz4mH3s2HGtWnXUuV0pArJ074xqJh29YpPLyV1adargGtelwbVr1wq1nc0Y5y2/dv78eV28ePFXt6lfv779lLzTp0+rS5cuat++vRYtWiQXl1/OPhw4cKBSU1O1YsUKe9u6devUtWtXJScny9/f396enp6uixcvqmbNmpo4caL+9re/ae/evVqxYoV69+4tV1dX+7Y5OTmy2WxycXFRRkaGNmzYoG7duunSpUv5ZkvVrVtXo0eP1pgxY256HDebKRUYGKgLFy7I19e3UK9XcZeVlaW4uDg9/PDDcnNzc3Z3UMKRJ1iJPMEqZAlWIk+wEnkqPhq+vlaS9NQDgZryWBMn9+bOkSVYITU1VVWqVNHly5d/tebh1JlSVatWVdWqVQu17alTp/Sb3/xGbdu21cKFC/MVpCSpQ4cOeu2115SVlWX/xYmLi1Pjxo3zFaQkycPDQ7Vq1VJWVpaWLVumJ598UpLUrVs3/fOf/8y3bVRUlEJCQjRhwgS5urqqbdu2cnNz07fffqvIyEhJUkJCgo4fP64OHTrcsv/ly5dX+fLlC7S7ubmVul/00nhMcB7yBCuRJ1iFLMFK5AlWIk/Fh83FVqL/L8gSiqKw2SkRa0qdOnVKXbp0Ud26dTVz5kydP3/efl/16tUlSQMGDNDUqVMVHR2tCRMm6F//+pfmzJmj2bNn27fdtm2bTp06pdatW+vUqVOaMmWKcnNz9fLLL0uSfHx81Lx583zP7eXlpcqVK9vb/fz8FB0drbFjx6pSpUry9fXViy++qA4dOnDlPQAAAAAAgEIqEUWpuLg4HTp0SIcOHVLt2rXz3Zd39qGfn5/Wrl2rESNGqG3btqpSpYomT56soUOH2rdNT0/XpEmTdPjwYXl7e6tnz55avHhxgUXLb2f27NlycXFRZGSkMjIyFB4erg8++KDIxwkAAAAAAFBWlIii1ODBgzV48ODbbteyZUtt3Ljxlvc/9NBD+vnnn+/oudevX1+gzcPDQ/PmzdO8efPuaF8AAAAAgLLBJpuzuwAUey633wQAAAAAAACwFkUpAAAAAAAs1rRm6bjKOnAvlYjT9wAAAAAAKAlWjQzTj0cu6sn7Ap3dFaDYoygFAAAAAIBFmtb0ZZYUUEicvgcAAAAAAACHoygFAAAAAAAAh6MoBQAAAAAAAIejKAUAAAAAAACHY6FzJzHGSJJSU1Od3BPrZGVl6dq1a0pNTZWbm5uzu4MSjjzBSuQJViFLsBJ5gpXIE6xClmCFvFpHXu3jVihKOUlaWpokKTCQy4QCAAAAAIDSJy0tTX5+fre832ZuV7bCPZGbm6vTp0/Lx8dHNpvN2d2xRGpqqgIDA3XixAn5+nIJVBQNeYKVyBOsQpZgJfIEK5EnWIUswQrGGKWlpalmzZpycbn1ylHMlHISFxcX1a5d29nduCd8fX0ZvGAZ8gQrkSdYhSzBSuQJViJPsApZQlH92gypPCx0DgAAAAAAAIejKAUAAAAAAACHoygFy5QvX15vvPGGypcv7+yuoBQgT7ASeYJVyBKsRJ5gJfIEq5AlOBILnQMAAAAAAMDhmCkFAAAAAAAAh6MoBQAAAAAAAIejKAUAAAAAAACHoygFAAAAAAAAh6MoBQAAAAAAAIejKAWgzOGiowAAAADgfBSlUOxdvnzZ2V1AKZGUlCRJstlsTu4JSgPGJliJPMFK5AlWIUuwEnnCzVCUQrG1Zs0adejQQX379tWECRO0c+dOSVJubq6Te4aSZs2aNWrTpo169eqlqKgorVmzRhJZwt1hbIKVyBOsRJ5gFbIEK5En/BqKUiiWlixZov79+ysiIkJdunTRd999p8jISB07dkwuLsQWhbdy5Uo988wzioyM1JAhQ3T27Fn16dNH27ZtI0u4Y4xNsBJ5gpXIE6xClmAl8oTbsRkWV0Exk5OTo6eeekoVK1bURx99JElKTEzUkCFDlJubq2+//Vbu7u5O7iWKO2OMbDabXnzxRZ04cUL/+7//K5vNpuvXr2vgwIHat2+fVq5cqXr16jm7qyghGJtgJfIEqxhjlJubS55QZLm5uTLGkCVYhvc6FAalSRQ7rq6u2rNnjwICAuxtwcHBev/99xUfH68//elPklisGr8ub92oXbt2qUaNGrLZbMrJyVGFChX06aef6vjx41q4cKGys7Od3FOUFIxNsBJ5QlFlZWVJuvF+R55QFIcPH5Ykubi4kCVYijyhMChKwam2bNmiKVOmaOXKlUpMTJQkXb16Ve3atVN8fLyuX78u6cZA1apVKw0bNkxvv/22JBarRn67du1ScnKypBvfyuS9uf3mN7/Rxo0bde3aNbm6uiorK0u+vr56/fXX9dFHHyk1NdWZ3UYxtWPHDn388cf6/vvvdfr0aUnSlStX1L59e8Ym3LFt27bp1Vdf1Weffab4+HhJ5Al3b9++fQoNDdWHH35ob7t+/Tp5wh3bsGGDgoKCFBsbq6tXr0qS0tPTyRLuCp/rcLcoSsHhjDHKyMjQ888/r27dumnLli16/vnnFR4ergMHDsjLy0utWrVScnKyfUHqPIMGDVJaWpr+8Y9/OKn3KG5SU1M1bNgwtW3bVs8++6ykG9/05b25tWzZUhUqVNCiRYvs90lSdHS0srOztWrVKkl8Q4MbkpOT1bdvXz388MP64osv1LdvXw0aNEhZWVny9vZWSEiIUlJSGJtQKBcvXlTfvn0VHh6uffv2acaMGYqIiNDVq1fl7e2tJk2akCfcsbi4OP3000+aM2eOjh07JkmqUKGCmjZtSp5QKOfOndNjjz2miIgIRUZGas6cOfLy8pIkeXh4qFmzZmQJhcLnOliBohQczmaz6cCBA/rmm28UFxenNWvWaP369QoMDNSTTz6pI0eOaMCAAXJzc9Py5ct1+vRpe4HBx8dH/v7+unbtmpOPAsVBSkqKXn/9dR08eFCjRo3Shg0b9P3338tmsykzM1PSjZlSjRs31tKlS3XkyBG5urpKuvEmWrduXSUlJUniGxpIJ06c0ODBg5Wdna2tW7dq1apVWrBggc6dO6fY2FhJUr9+/eTq6srYhNs6ceKEevbsKZvNph07dmj58uVasWKFPDw89N///d+SyBPuTN6XJydOnFBsbKw8PT31+9//3n71qt/97ncqV64cecKvOnTokOrWravDhw/rwIEDmjVrllxdXfMtZ9C3b1/GJhQKn+tgBYpScIo1a9bI1dVVzZo1k3Tj3OLly5crKSlJc+fOVbVq1RQdHa2EhATNnDnT/rj09HRlZmYqKCjIST1HcVKxYkUFBQVp3LhxGjVqlLp27apx48ZJktzd3ZWTk6MqVaqoX79+ys3N1fjx4+2PvXr1qi5fvqw2bdo4q/soZq5cuSI/Pz+99NJLatSokcqXL6+HHnpI1atXV2ZmpnJzc1WnTh0988wzOnjwIGMTflVgYKAGDBigN998U8HBwbLZbPL391dISIh++9vf5tvmwIED5AmFdv78eXl7e2vatGlasGCBtm3bJulGngYPHqz9+/eTJ9xSgwYN1LFjR7Vp00be3t76+uuv9bvf/U6DBg3S9OnTdfr0adWtW5exCYXG5zoUVTlndwBlS94V0erUqaPjx4/L19dXkpSRkSF/f3+99NJLio2N1YABA/T0008rOTlZb7zxhn7++Wfdf//9+vzzz9W2bVs1aNDAyUcCZ8vL0vDhw+Xh4SFJGjJkiAYNGqRPPvlEMTExysnJkaurq3r27KmcnBwNGjRI7dq1U7t27bR69WoFBwfb30CBmjVravr06apdu7akG1ch8vHxUVpamjw8POynfkZFRenKlSuMTbilvPHp+eefl5ubm6Qb694NHDhQp06d0pAhQxQcHKx58+YpJiZG169fJ0+4LZvNpuzsbCUkJOi5555T+/btFRYWpj/84Q969dVXtW/fPkVFRSklJYU84aby/i56++231atXL3Xo0EHp6ekaMGCAEhIStHDhQi1btkzx8fGKjo7WtWvXNGXKFLKEm+JzHaxiMyykgnsob7DKzc21f6CTpISEBPXs2VPDhg3Tyy+/rOzsbJUrd6NGWrNmTcXExGjq1Kkyxujbb7/V119/rf379+vhhx/Wyy+/7KzDgRPdKkt5Q5jNZtOlS5f05ptvaunSpTp8+LB9tlTeKXs7duzQ3//+d+3evVudOnWyz6pC2XOrPP3/+5OTk9WsWTN9+eWXCgsLyzdWffPNN4xNkPTr45PNZlNCQoJGjhypOnXqaMCAATp58qRGjx6tfv36ad68eZLIE35xqzxlZmbK3d1d3bt311tvvaUOHTpo/fr16tatm4wxmjJliiZPniyJPOGGm2Upr23s2LE6dOiQZs+ereDgYEk3FtFv166dpk2bppEjR/J3OG6Kz3WwnAHugdOnT9+0fcuWLcYYY86dO2dGjx5tmjVrZs6cOWOMMeb69evGGGPGjh1r2rdvX+CxOTk596i3KM5ulaVt27YZY4zJysoq0N64cWMzZswYe1t6enq+bchS2XWneVq7dq1p0KCBSUpKMrm5uTd9LHkqu26Xp8zMTHtbUlJSvm0++OADExAQUCBX5Knsul2ejDEmJSXFhIWFmQsXLph3333XVKhQwdSqVcsEBgaaS5cuFXgseSqbCpOltLQ0s3379gLbREVFmbCwsALtZAn/H5/rYBXWlIKlVqxYofvvv1+9e/fWM888o3Xr1km68e3e+++/r44dO+r8+fOqWrWqHnvsMXl5ednX+ck7Bevo0aP2aZx5i3dKuulsBpRet8tS+/btdeHCBfs3MebfM6ZatmypYcOGadGiRdqxY4emTZum8ePHKy0tzb5vslT23G2etm7dquDgYFWrVk02m02zZs3Sxx9/nG/f5KnsKWye8k7dk6Rq1arZb2dnZ2vfvn2qV6+erly5ku/qn+Sp7ClsniTp7NmzunjxoqpXr665c+dqwYIF2rp1q65fv65Zs2YV2Dd5KlvuJEve3t6677778j3+2rVr2rdvnxo1aiSJv8PLuhUrVigiIkIjRozQkiVLdPnyZUl8roP1SAMskZmZqfHjx2vo0KHq37+/Bg8erDNnzmjGjBn26eZdunTRsGHDdPHiRUlSWFiYxo4dq88//1wTJ07U+vXrtW7dOu3Zs0ddunSRxIBVFt1JlpKTk+2Py7uSh4eHh8LDw1WpUiXdf//9mjFjhh588EH5+Pg465DgREXN03fffafevXtr9+7datasmSZPniw/Pz9nHQ6c7G7zlCev+BQXF6fNmzcrJiZGPj4+XP2zjLqbv51q1Kihdu3aaebMmdq1a5f69eun2rVr64UXXtDf/vY3rmJVRhV1bMrzj3/8Q9nZ2erXr58k/g4vi4wxSk9P14svvqihQ4eqXbt2ys3N1bRp0zR06FBdv35d7u7uCgsL43MdrOPUeVooNRITE02zZs1MXFycve3NN980ERER9lOnbnXqy6JFi0xoaKhp1KiR8ff3N5MmTXJIn1E8FSVLxhiTkJBgOnfubNzc3My77757z/uL4q0oeTpw4IDx8fExAQEBxtXV1YwfP94hfUbxdTd5yvt53759Zt68eebxxx83np6eZvr06Y7rOIqlO81T3ukuV69eLbCv7Ozse9xbFGdFGZv27t1r3n//fdOrVy/j5eVlZs2a5biOo1j65z//aVq2bGl+/PFHe9vixYuNv7+/mTBhgjGm4HIHefhch7vB1fdQJObfiyWeOXNGycnJyszMtN938uRJNW/eXKdPn1ZAQIA8PT3zLTqdZ9CgQerXr58SEhJUt25dZiGUUVZkSbrxLV+9evX01VdfqWrVqo48BBQjVuQpMzNTnp6e6t69u9577z1VqVLF0YeBYqIoecqbBZWRkaHt27crICBAx44dI09l2N3mKW+WgaenZ4F93uz9EKWfFWNTenq6Nm3apMqVK+vo0aOMTWVYXp62bNmizMzMfFkIDQ1VSkqKZsyYoaefflrNmze/6cVi+FyHu8HV93DHNm/erCNHjqh169aqV6+ePD099dNPP2nSpEnatWuXRo8erQ8//FApKSlq3Lixzp8/r5YtW2rZsmWSpLS0NI0YMUKdO3fWs88+q6ysrHzrbqDssDpLkshTGWZVnsLCwhQTE6Pz588rIyNDtWvXdvKRwRmszlNWVpbS09M5lbiMsvr97lZfzKD0s3psyszMVHp6unx9fZ18ZHCG/8xTUFCQvLy8tGzZMg0fPlxLly7VQw89JElauHChVq5cqQsXLqh69er68ssvJfG5DhZx2hwtlDiXL182ffr0MT4+Pub+++83VapUMUOGDLHf//PPP5s//elPpmvXriYqKspcuHDBJCcnm++++864u7ubZcuWGWOMuXDhgundu7dp1qyZsw4FTkaWYCXyBCuRJ1iJPMEqZAlWul2eunbtaoKDg82QIUNMp06djJ+fn/niiy/Ma6+9Zjp16mS/yt6lS5fIE4qMohQK7S9/+Ytp0aKF2b9/v0lNTTWffvqpCQoKMkOHDrVvk5SUZGrUqGE2b95sb7t48aJp27ateemll+xtJ0+edGjfUbyQJViJPMFK5AlWIk+wClmClW6Vp+joaGOMMcePHzcffvih6du3rxk9erQ5deqUMcaYjz/+2ISEhOTbF3lCUbGmFApt8eLFatSokRo3bixJioqKkp+fn5544gn16dNH4eHhSkxMVJ06dfJd8vPcuXO6cuWKunfvbm+rVauWw/uP4oMswUrkCVYiT7ASeYJVyBKs9Gt56tu3ryIiIvTcc88pOjrafjpeVlaWNm3apIYNGyonJ0fSjfXsyBOKiusy4rby3tiCgoJ07ty5fPdFRkaqT58+mjRpkiSpcePGunbtmt566y199NFH+uyzz9SrVy81bdpUbdq0cXjfUbyQJViJPMFK5AlWIk+wClmClQqTpzfeeEPSjYXP3dzcdPXqVaWlpemrr77S5s2bFRUVJVdXV9a1g2UoSuGW8irgeVdVCA4OVk5OjtatWyfpxkAlSRMnTtTu3bsVFxenSpUq6Z133pGnp6c++eQTzZgxQyNGjNDy5cu5EloZRpZgJfIEK5EnWIk8wSpkCVa6kzzt3LlT69evl81mU0pKiuLi4tS9e3cNHz5cY8aMUe/evZ1zECi1KErhlvKq3wcPHpQkde7cWTk5OfrrX/+qjIwM+6BWv359Pfjgg9q0aZMk6ZFHHtHy5cu1YsUK7dmzR6NGjXLOAaDYIEuwEnmClcgTrESeYBWyBCvdaZ6+//57SVLFihXVoEED+1WJhw8f7pwDQKlGUQqKi4uzD1D/KS0tTQMHDtTTTz+tjIwM3XfffXr44Ye1bds2LVmyxL6dm5ubDh48qICAAEm/VOIDAwOZ1lnGkCVYiTzBSuQJViJPsApZgpWsytN/zqxr3ry5nn32WfvaUoDVKEqVYSdPnlTv3r0VHh6uV155xf4mlsfHx0etWrVSx44dlZycLEl64YUX1LhxY02dOlUrV67UmTNntHbtWlWsWFGhoaGSxBtgGUSWYCXyBCuRJ1iJPMEqZAlWuld5AhzCeRf+gzMlJyebV1991Tz66KNm9uzZxt3d3axatcp+f3Z2tjHGmPT0dHtbbm6uMcaYxMRE8/zzz5tKlSqZkJAQ4+3tbWJjYx17ACg2yBKsRJ5gJfIEK5EnWIUswUrkCSWdzZh/r2qGMiU3N1dffvmlqlatqm7duqlfv346ePCgNmzYIG9v70Lt4+jRo0pISFCnTp0K/RiUPmQJViJPsBJ5gpXIE6xClmAl8oQSz9lVMTjGhg0bzOrVq01WVpa9LTMz03774MGDpkKFCuaPf/zjTR9//PhxM378eLN582ZjzC8Vd5Q9ZAlWIk+wEnmClcgTrEKWYCXyhNKGolQpd/78eTNw4EBjs9lMq1atzJEjRwpsk5OTY4wxZtKkSSYgIMCcOHGiwDYbN240wcHBZsyYMfe6yyimyBKsRJ5gJfIEK5EnWIUswUrkCaUVRalSLCsry3zwwQcmPDzcfPHFF8bT09NMnz7dZGRk3HT71NRUExgYaEaOHGlvO3/+vP32Dz/8cM/7jOKJLMFK5AlWIk+wEnmCVcgSrESeUJpRlCrltm7dav76178aY4yZOnWqqVq1qtm1a9ctt1+8eLHx9PQ0f//7301MTIzp27evOXbsmIN6i+KMLMFK5AlWIk+wEnmCVcgSrESeUFqx0HkpZ4yRzWaz/1yrVi09+uijmjlzpnx8fApsn5aWpkaNGikpKUn16tXTn//8Z3Xo0MGRXUYxRZZgJfIEK5EnWIk8wSpkCVYiTyitXJzdAdxbeQNXZmamJOm9997TggULtHXr1gLb7ty5U6GhocrMzNSSJUuUmJjIwAU7sgQrkSdYiTzBSuQJViFLsBJ5QmnFTKkyqGPHjvLy8tKSJUtUrVo1nT17VtWrV9eqVau0ZcsWvfXWW87uIkoIsgQrkSdYiTzBSuQJViFLsBJ5QmlAUaoMyc7OVrly5bR37161atVKsbGxSkxM1KZNm7Ro0SI1b97c2V1ECUGWYCXyBCuRJ1iJPMEqZAlWIk8oTShKlVEPPPCA4uPjVadOHc2fP1/h4eHO7hJKKLIEK5EnWIk8wUrkCVYhS7ASeUJJx5pSZUxiYqJatGihvXv36pNPPtHRo0cZuHBXyBKsRJ5gJfIEK5EnWIUswUrkCaUFRakyxtXVVZGRkbpw4YKio6Od3R2UYGQJViJPsBJ5gpXIE6xClmAl8oTSgtP3AAAAAAAA4HDMlAIAAAAAAIDDUZQCAAAAAACAw1GUAgAAAAAAgMNRlAIAAAAAAIDDUZQCAAAAAACAw1GUAgAAAAAAgMNRlAIAAAAAAIDDUZQCAACABg8erN/+9rfO7gYAAChDKEoBAAA4QJcuXTR69OgC7YsWLVLFihUlSUFBQbLZbLf8N3jwYEnSoUOHFBUVpdq1a6t8+fKqV6+e+vfvr/j4+Js+96/t02azacqUKZozZ44WLVp0bw4eAADgJso5uwMAAAC4Yfv27crJyZEkbd68WZGRkUpISJCvr68kqUKFCoqPj1e3bt3UvHlzzZ8/XyEhIUpLS9PXX3+tcePGacOGDQX2e+bMGfvtL774QpMnT1ZCQoK9zdvbW97e3vf46AAAAPKjKAUAAFBMVK1a1X67UqVKkqRq1arZZ1IZYzR48GA1bNhQGzdulIvLL5PeW7durVGjRt10v9WrV7ff9vPzk81my9cm3Th9LyUlRStWrJB0Y2ZXixYt5Orqqs8++0zu7u6aNm2aBgwYoBdeeEFfffWVAgICNHfuXD3yyCP2/fzrX//S+PHjtXHjRnl5ealHjx6aPXu2qlSpUqTXBgAAlD6cvgcAAFBC7N69W3v37tW4cePyFaTy5BWvrPLZZ5+pSpUq+vHHH/Xiiy9q+PDheuKJJ9SxY0ft3LlTPXr00DPPPKNr165JklJSUtS1a1eFhoYqPj5eq1evVlJSkp588klL+wUAAEoHilIAAAAlxMGDByVJISEhDnm+Vq1aadKkSWrYsKFeeeUVeXh4qEqVKoqJiVHDhg01efJkXbx4UXv27JEk/fGPf1RoaKh+//vfKyQkRKGhoVqwYIHWrVunAwcOOKTPAACg5OD0PQAAgBLCGOPQ52vZsqX9tqurqypXrqwWLVrY2wICAiRJ586dkyT99NNPWrdu3U3Xp0pMTFSjRo3ucY8BAEBJQlEKAADAAXx9fXX58uUC7SkpKfLz8yvUPvKKOvv371doaKil/bsZNze3fD/bbLZ8bTabTZKUm5srSbpy5Yoee+wxvfPOOwX2VaNGjXvYUwAAUBJx+h4AAIADNG7cWDt37izQvnPnzkLPIGrdurWaNm2qWbNm2QtB/yklJaWo3SySNm3aaO/evQoKClKDBg3y/fPy8nJq3wAAQPFDUQoAAMABhg8frgMHDmjkyJHas2ePEhISFBsbq7/85S8aN25cofZhs9m0cOFCHThwQGFhYVq1apUOHz6sPXv26O2339bjjz9+j4/i140YMULJycnq37+/tm/frsTERK1Zs0ZRUVHKyclxat8AAEDxQ1EKAADAAerXr6/vv/9e+/fvV/fu3dWuXTt9+eWXWrp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", 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", 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" + "
" ] }, - "execution_count": 22, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ "row_number = 0 # You can change this to any row number you want to retrieve\n", "\n", "# Retrieve waveform data for a specific station and channel\n", - "from obspy.clients.fdsn import Client\n", - "client = Client(\"https://service.earthscope.org\")\n", "st = client.get_waveforms(network=df.iloc[row_number].network, \n", " station=df.iloc[row_number].station, location=\"*\", \n", " channel='HNZ', starttime=t1, endtime=t2)\n", "\n", - "st.merge(method=1, fill_value=\"interpolate\") # Merge the traces in the stream, filling gaps by interpolation\n", + "\n", + "print(f\"Retrieved {len(st)} traces for station {df.iloc[row_number].station} ({df.iloc[row_number].network})\")\n", + "\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import matplotlib.dates as mdates\n", + "\n", + "tr_no = 0\n", + "for tr in st:\n", + " tr_no += 1 # Count the trace number in the stream\n", + "\n", + " # Convert ObsPy UTCDateTime values to Python datetime objects\n", + " # Convert each sample time to UTC datetime\n", + " utc_times = [\n", + " (tr.stats.starttime + i * tr.stats.delta).datetime\n", + " for i in range(tr.stats.npts)\n", + " ]\n", + " \n", + " plt.figure(figsize=(12, 3))\n", + " plt.plot(utc_times, tr.data)\n", + " plt.title(f\"Waveform Data for {tr.id} [Trace Number: {tr_no}]\")\n", + " plt.xlabel(\"UTC Time\")\n", + " plt.ylabel(\"Amplitude\")\n", + "\n", + " ax = plt.gca()\n", + " ax.xaxis.set_major_formatter(mdates.DateFormatter(\"%H:%M:%S\"))\n", + " ax.xaxis.set_major_locator(mdates.AutoDateLocator())\n", + "\n", + " plt.xticks(rotation=30)\n", + " plt.tight_layout()\n", + " plt.grid(True)\n", + " plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "18254076", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[]\n" + ] + } + ], + "source": [ + "gaps = st.get_gaps() # Check for gaps in the stream\n", + "print(gaps)" + ] + }, + { + "cell_type": "markdown", + "id": "f3b0823d", + "metadata": {}, + "source": [ + "In cases of multiple `Trace` objects inside a single `Stream` object, the traces can be combined using ObsPy's `merge()` method." + ] + }, + { + "cell_type": "code", + "execution_count": 27, + "id": "efd2e64b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "st.merge(method=1, fill_value=\"Interpolate\") # Merge the traces in the stream, filling gaps by interpolation\n", "tr = st[0] \n", + "utc_times = [\n", + " (tr.stats.starttime + i * tr.stats.delta).datetime\n", + " for i in range(tr.stats.npts)\n", + "]\n", + "plt.figure(figsize=(12, 3))\n", + "plt.plot(utc_times, tr.data)\n", + "plt.title(f\"Waveform Data for {tr.id} [Trace Number: {tr_no}]\")\n", + "plt.xlabel(\"UTC Time\")\n", + "plt.ylabel(\"Amplitude\")\n", + "\n", + "ax = plt.gca()\n", + "ax.xaxis.set_major_formatter(mdates.DateFormatter(\"%H:%M:%S\"))\n", + "ax.xaxis.set_major_locator(mdates.AutoDateLocator())\n", "\n", - "print(tr.stats)\n", - "st.plot()" + "plt.xticks(rotation=30)\n", + "plt.tight_layout()\n", + "plt.grid(True)\n", + "plt.show()" ] }, { From 09587e6dc49abf3b20965379be25fbafb6ea9a27 Mon Sep 17 00:00:00 2001 From: Asif Ashraf Date: Wed, 1 Jul 2026 03:19:48 -0700 Subject: [PATCH 03/15] push week2.2 --- tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb | 53 +--- tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb | 314 ++++++++++++++--------- 2 files changed, 204 insertions(+), 163 deletions(-) diff --git a/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb index 4c2aff2..19a0c05 100644 --- a/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb +++ b/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb @@ -719,7 +719,7 @@ "\n", "Below, we filter out stations based on the metadata investigation. As an example case, we are assuming you only want the stations with HNZ channel, 200 Hz sampling rate, and located above 50 m elevation.\n", "\n", - "> ✏️ You are welcome to choose your own filtering paradigm" + "> ✏️ You are welcome to choose your own filtering parameters" ] }, { @@ -1135,50 +1135,20 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 1, "id": "dfb1264e", "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - " network: UW\n", - " station: BILS\n", - " location: \n", - " channel: HNZ\n", - " starttime: 2018-11-19T11:07:13.130000Z\n", - " endtime: 2018-11-19T11:17:13.130000Z\n", - " sampling_rate: 200.0\n", - " delta: 0.005\n", - " npts: 120001\n", - " calib: 1.0\n", - "_fdsnws_dataselect_url: http://service.iris.edu/fdsnws/dataselect/1/query\n", - " _format: MSEED\n", - " mseed: AttribDict({'dataquality': 'M', 'number_of_records': 283, 'encoding': 'STEIM2', 'byteorder': '>', 'record_length': 512, 'filesize': 144896})\n", - " processing: ['ObsPy 1.4.2: trim(endtime=UTCDateTime(2018, 11, 19, 11, 17, 13, 130000)::fill_value=None::nearest_sample=True::pad=False::starttime=UTCDateTime(2018, 11, 19, 11, 7, 13, 130000))']\n" + "ename": "NameError", + "evalue": "name 'client' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[1], line 2\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Retrieve waveform data for a specific station and channel\u001b[39;00m\n\u001b[0;32m----> 2\u001b[0m st \u001b[38;5;241m=\u001b[39m \u001b[43mclient\u001b[49m\u001b[38;5;241m.\u001b[39mget_waveforms(network\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUW\u001b[39m\u001b[38;5;124m\"\u001b[39m, station\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBILS\u001b[39m\u001b[38;5;124m\"\u001b[39m, location\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m*\u001b[39m\u001b[38;5;124m\"\u001b[39m, channel\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mHNZ\u001b[39m\u001b[38;5;124m\"\u001b[39m, starttime\u001b[38;5;241m=\u001b[39mt1, endtime\u001b[38;5;241m=\u001b[39mt2)\n\u001b[1;32m 3\u001b[0m tr \u001b[38;5;241m=\u001b[39m st[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28mprint\u001b[39m(tr\u001b[38;5;241m.\u001b[39mstats)\n", + "\u001b[0;31mNameError\u001b[0m: name 'client' is not defined" ] - }, - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "execution_count": 38, - "metadata": {}, - "output_type": "execute_result" } ], "source": [ @@ -1186,8 +1156,7 @@ "st = client.get_waveforms(network=\"UW\", station=\"BILS\", location=\"*\", channel=\"HNZ\", starttime=t1, endtime=t2)\n", "tr = st[0]\n", "\n", - "print(tr.stats)\n", - "st.plot()" + "print(tr.stats)" ] }, { diff --git a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb index 5de259a..f716ee4 100644 --- a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb +++ b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb @@ -15,16 +15,24 @@ "id": "60662fae", "metadata": {}, "source": [ - "In Notebook 1, we learned how to discover seismic events, select stations, retrieve waveform data, and store the results as a reusable data product.\n", + "In Notebook 1, we learned how to discover seismic events, select stations, retrieve waveform data, and store the metadata as a reusable product.\n", "\n", - "In this notebook, we take the next step: we inspect the retrieved waveforms and decide whether they are ready for analysis.\n", + "In this notebook, we take the next step: inspecting and preprocessing the waveform to decide whether they are ready for analysis.\n", "\n", "A waveform dataset is not automatically useful just because it was retrieved successfully. Some traces may have gaps, missing channels, unusual sampling rates, incomplete metadata, noisy records, or unavailable instrument response information. Before using the data for scientific interpretation, we need to check its quality and prepare it consistently." ] }, + { + "cell_type": "markdown", + "id": "47c9afe1", + "metadata": {}, + "source": [ + "**Our first task is to read the metadata table we saved in Notebook 1.**" + ] + }, { "cell_type": "code", - "execution_count": 1, + "execution_count": 2, "id": "b4440452", "metadata": {}, "outputs": [ @@ -295,7 +303,7 @@ "15 126.0 HNZ 200.0 True " ] }, - "execution_count": 1, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -324,13 +332,31 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 23, "id": "cd74ccb5", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": [ + "FDSN Webservice Client (base url: https://service.earthscope.org)\n", + "Available Services: 'dataselect' (v1.1.65), 'station' (v1.1.54)\n", + "\n", + "Use e.g. client.help('dataselect') for the\n", + "parameter description of the individual services\n", + "or client.help() for parameter description of\n", + "all webservices." + ] + }, + "execution_count": 23, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "from obspy.clients.fdsn import Client\n", - "client = Client(\"https://service.earthscope.org\")" + "client = Client(\"https://service.earthscope.org\")\n", + "client" ] }, { @@ -367,7 +393,9 @@ "- there is a small timing break between packets,\n", "- or the data service stores and returns the waveform in multiple pieces.\n", "\n", - "Therefore, simply checking the number of traces using `len(st)` is only a first diagnostic step. A `Stream` with more than one trace may still have no actual gaps or overlaps. To determine whether the trace segments are truly discontinuous, we should use ObsPy’s built-in `get_gaps()` method.\n", + "Gaps can result from loss of power at the recording station or interruptions with the data transfer. For data overlap, clock drifts and corrections can be one of the reason.\n", + "\n", + "A `Stream` with more than one trace may still have no actual gaps or overlaps. To determine whether the trace segments are truly discontinuous, we should use ObsPy’s built-in `get_gaps()` method.\n", "\n", "The `get_gaps()` method checks the timing relationship between adjacent traces in the `Stream`. It reports both gaps and overlaps. A positive time difference indicates a gap, while a negative time difference indicates an overlap. If `get_gaps()` returns an empty list, then ObsPy did not detect any gaps or overlaps, even if the `Stream` contains multiple traces.\n", "\n", @@ -378,7 +406,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 4, "id": "e1961696", "metadata": {}, "outputs": [ @@ -529,7 +557,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 32, "id": "f13d54e8", "metadata": {}, "outputs": [ @@ -542,7 +570,7 @@ }, { "data": { - "image/png": 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", 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", + "image/png": 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", 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" ] @@ -569,10 +597,8 @@ " station=df.iloc[row_number].station, location=\"*\", \n", " channel='HNZ', starttime=t1, endtime=t2)\n", "\n", - "\n", "print(f\"Retrieved {len(st)} traces for station {df.iloc[row_number].station} ({df.iloc[row_number].network})\")\n", "\n", - "\n", "import matplotlib.pyplot as plt\n", "import matplotlib.dates as mdates\n", "\n", @@ -593,52 +619,28 @@ " plt.xlabel(\"UTC Time\")\n", " plt.ylabel(\"Amplitude\")\n", "\n", - " ax = plt.gca()\n", - " ax.xaxis.set_major_formatter(mdates.DateFormatter(\"%H:%M:%S\"))\n", - " ax.xaxis.set_major_locator(mdates.AutoDateLocator())\n", - "\n", - " plt.xticks(rotation=30)\n", " plt.tight_layout()\n", " plt.grid(True)\n", " plt.show()" ] }, - { - "cell_type": "code", - "execution_count": 34, - "id": "18254076", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[]\n" - ] - } - ], - "source": [ - "gaps = st.get_gaps() # Check for gaps in the stream\n", - "print(gaps)" - ] - }, { "cell_type": "markdown", "id": "f3b0823d", "metadata": {}, "source": [ - "In cases of multiple `Trace` objects inside a single `Stream` object, the traces can be combined using ObsPy's `merge()` method." + "In cases of multiple `Trace` objects inside a single `Stream` object, the traces can be combined using ObsPy's `merge()` method. If there are no gaps, you can put `fill_value = \"None\"`. But if there are gaps in the data, you should use `fill_value = \"Interpolate\"`." ] }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 31, "id": "efd2e64b", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -648,7 +650,7 @@ } ], "source": [ - "st.merge(method=1, fill_value=\"Interpolate\") # Merge the traces in the stream, filling gaps by interpolation\n", + "st.merge(method=1, fill_value=\"None\") # Merge the traces in the stream\n", "tr = st[0] \n", "utc_times = [\n", " (tr.stats.starttime + i * tr.stats.delta).datetime\n", @@ -656,37 +658,59 @@ "]\n", "plt.figure(figsize=(12, 3))\n", "plt.plot(utc_times, tr.data)\n", - "plt.title(f\"Waveform Data for {tr.id} [Trace Number: {tr_no}]\")\n", + "plt.title(f\"Waveform Data for {tr.id} [Merged Trace]\")\n", "plt.xlabel(\"UTC Time\")\n", "plt.ylabel(\"Amplitude\")\n", "\n", - "ax = plt.gca()\n", - "ax.xaxis.set_major_formatter(mdates.DateFormatter(\"%H:%M:%S\"))\n", - "ax.xaxis.set_major_locator(mdates.AutoDateLocator())\n", - "\n", - "plt.xticks(rotation=30)\n", "plt.tight_layout()\n", "plt.grid(True)\n", "plt.show()" ] }, + { + "cell_type": "markdown", + "id": "7d804253", + "metadata": {}, + "source": [ + "## **2. Preprocessing**" + ] + }, + { + "cell_type": "markdown", + "id": "4f89d7e8", + "metadata": {}, + "source": [ + "#### **2.1 Trim waveform around signal**" + ] + }, { "cell_type": "markdown", "id": "9864d949", "metadata": {}, "source": [ - "You just pulled real ground motion data from a station and plotted it. The ground motion data or seismogram records different waves that travel through the Earth at different speeds and therefore arrive at different times. The fastest wave arrives first (P-wave), followed by slower ones (Surface wave)." + "After retrieving the complete waveform, the next step is to isolate the portion of the record that contains the signal we want to analyze. In this example, the signal of interest is the earthquake arrival which is visible within the longer waveform window.\n", + "\n", + "The original waveform request usually includes extra time before and after the event. This is useful during data retrieval because it gives us enough context to inspect the background noise, identify the signal arrival, and avoid accidentally cutting off important parts of the waveform. However, for later processing steps, we often want to work with a shorter time window centered around the main signal.\n", + "\n", + "Trimming the waveform has several advantages:\n", + "\n", + "- it removes unnecessary pre-event and post-event noise,\n", + "- it makes the signal easier to visualize,\n", + "- it reduces the amount of data used in later processing,\n", + "- and it helps focus the analysis on the part of the waveform that contains useful seismic energy.\n", + "\n", + " Below, try to modify the `time_pick1` and `time_pick2` to cut the waveform around the signal. These values are measured in seconds after the start of the requested waveform. They define the start and end of the trimmed window." ] }, { "cell_type": "code", - "execution_count": 25, + "execution_count": null, "id": "0fe5e488", "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -696,25 +720,43 @@ } ], "source": [ - "import matplotlib.pyplot as plt\n", + "# 1. Specify the time window for trimming the waveform data\n", + "time_pick1 = 80\n", + "time_pick2 = 110\n", "\n", + "# 2.Specify the row number of the station you want to retrieve waveform data for\n", + "row_number = 0\n", + "st = client.get_waveforms(network=df.iloc[row_number].network, \n", + " station=df.iloc[row_number].station, location=\"*\", \n", + " channel='HNZ', starttime=t1, endtime=t2)\n", + "if len(st)>1: # Check if there are multiple traces in the stream\n", + " st.sort() # Sort the traces in the stream by start time\n", + " st.merge(method=1, fill_value=\"None\") # Merge the traces in the stream (change fill_value for gaps/overlaps)\n", + "tr = st[0] # Get the trace from the stream\n", + "utc_times = [\n", + " (tr.stats.starttime + i * tr.stats.delta).datetime\n", + " for i in range(tr.stats.npts)\n", + "]\n", + "\n", + "# 3. Plot the complete waveform and the trimmed waveform\n", "plt.figure(figsize=(12, 4))\n", - "plt.subplot(1,2,1)\n", - "plt.plot(tr.times(),tr.data)\n", - "plt.xlabel(\"Time (s)\")\n", + "plt.subplot(2,1,1)\n", + "plt.plot(utc_times,tr.data)\n", + "plt.xlabel(\"UTC Time\")\n", "plt.title(\"Complete Waveform Requested\")\n", - "\n", - "# Trim the waveform data to a specific time window\n", - "pick_time1 = 120\n", - "pick_time2 = 180\n", + "plt.grid()\n", "\n", "tr_trim = tr.copy() # Create a copy of the trace to trim\n", - "tr_trim.trim(starttime=t1+pick_time1, endtime=t1+pick_time2)\n", - "\n", - "plt.subplot(1,2,2)\n", - "plt.plot(tr_trim.times(),tr_trim.data)\n", - "plt.xlabel(\"Time (s)\")\n", + "tr_trim.trim(starttime=tr.stats.starttime+time_pick1, endtime=tr.stats.starttime+time_pick2)\n", + "utc_times_trim = [\n", + " (tr_trim.stats.starttime + i * tr_trim.stats.delta).datetime\n", + " for i in range(tr_trim.stats.npts)\n", + "]\n", + "plt.subplot(2,1,2)\n", + "plt.plot(utc_times_trim, tr_trim.data)\n", + "plt.xlabel(\"UTC Time\")\n", "plt.title(\"Trimmed Waveform\")\n", + "plt.grid()\n", "\n", "plt.tight_layout()" ] @@ -724,7 +766,7 @@ "id": "ac1a6467", "metadata": {}, "source": [ - "#### **Data Interpretation**" + "#### **2.2 Deconvolve instrument response**" ] }, { @@ -732,12 +774,16 @@ "id": "246a8b58", "metadata": {}, "source": [ - "In the plot above, the y-axis is raw digital counts, not ground motion. The instrument doesn't record accelaration or velocity directly. Ground motion moves a mass, that motion is converted to a voltage, and a digitizer turns the voltage into integer counts. The counts are proportional to ground motion, but the proportionality constant (and its frequency dependence) lives in the **instrument response**." + "The waveform plotted in the previous section is still in **raw digital counts**. These counts are the values recorded by the seismometer and digitizer, but they are not yet physical ground-motion units such as displacement, velocity, or acceleration.\n", + "\n", + "A seismic instrument does not measure ground motion in a perfectly direct way. When the ground moves, the sensor and recording system transform that motion through the instrument’s mechanical and electronic response. The result is a digital waveform whose amplitude depends not only on the true ground motion, but also on the sensitivity and frequency response of the instrument.\n", + "\n", + "To convert the waveform from raw counts into physically meaningful units, we need to remove, or **deconvolve**, the instrument response. This correction uses the station metadata stored in the ObsPy `Inventory` object. The inventory contains the information needed to describe how the instrument modifies the incoming ground motion." ] }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 33, "id": "e3b0b7ea", "metadata": {}, "outputs": [ @@ -747,13 +793,13 @@ "Text(0.5, 1.0, 'Waveform After Instrument Response Removal')" ] }, - "execution_count": 26, + "execution_count": 33, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -763,10 +809,9 @@ } ], "source": [ - "\n", - "# To apply instrument response\n", + "# Apply instrument response\n", "tr_corrected = tr_trim.copy()\n", - "tr_corrected.remove_response(inventory=st_inv, output=\"ACC\") # Specify output units as velocity\n", + "tr_corrected.remove_response(inventory=st_inv, output=\"ACC\") # Specify output units\n", "\n", "plt.figure(figsize=(12, 2))\n", "plt.plot(tr_corrected.times(), tr_corrected.data)\n", @@ -775,35 +820,35 @@ "plt.title(\"Waveform After Instrument Response Removal\")" ] }, + { + "cell_type": "markdown", + "id": "279d4b90", + "metadata": {}, + "source": [ + "#### **2.3 Noise reduction**" + ] + }, { "cell_type": "markdown", "id": "ce45d432", "metadata": {}, "source": [ - "Next, we compute a spectrogram. A spectrogram shows how signal energy is distributed across frequency and time. This helps us choose a filter band: we can keep the frequency range where the earthquake signal is strong and reduce frequencies dominated by noise." + "In this section we will try to reduce noise of the waveform. To reduce this unwanted energy, we first inspect the frequency content of the waveform using a **spectrogram**. A spectrogram shows how signal energy is distributed through both **time** and **frequency**. This is useful because an earthquake signal is not equally strong at all frequencies. Instead, most of the useful seismic energy is usually concentrated within a limited frequency band.\n", + "\n", + "In the output spectrogram below, brighter regions indicate stronger signal energy. By examining where the energy is most prominent, we can choose a filter band that preserves the main earthquake signal while suppressing frequencies dominated by noise. The dashed horizontal lines mark the approximate frequency range selected for filtering." ] }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 35, "id": "bb2b88cd", "metadata": {}, "outputs": [ { "data": { + "image/png": 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"text/plain": [ - "Text(0.5, 1.0, 'Spectrogram of Trimmed Waveform')" - ] - }, - "execution_count": 29, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" + "
" ] }, "metadata": {}, @@ -827,42 +872,16 @@ "# Adjust spectrogram time axis to match slice duration\n", "t_spec = np.linspace(0, tr_corrected.times()[-1], Sxx.shape[1])\n", "\n", - "plt.figure(figsize=(12, 2))\n", + "plt.figure(figsize=(12, 4))\n", + "plt.subplot(2,1,1)\n", "plt.pcolormesh(t_spec, f, np.abs(Sxx), shading='gouraud')\n", "plt.ylim(0, 10)\n", "plt.axhline(y=2, color='red', linestyle='--', linewidth=1)\n", "plt.axhline(y=9, color='red', linestyle='--', linewidth=1)\n", "plt.xlabel(\"Time (s)\")\n", "plt.ylabel(\"Frequency (Hz)\")\n", - "plt.title(\"Spectrogram of Trimmed Waveform\")" - ] - }, - { - "cell_type": "markdown", - "id": "087d0335", - "metadata": {}, - "source": [ - "Below, we will do a bandpass filtering to remove frequency components outside the most prominent range." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "id": "558b9315", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ + "plt.title(\"Spectrogram of Trimmed Waveform\")\n", + "\n", "tr_filt = tr_corrected.copy()\n", "\n", "# Bandpass between 1 and 10 Hz, 4-pole Butterworth, zero-phase\n", @@ -875,7 +894,7 @@ " corners=4,\n", " zerophase=True)\n", "\n", - "plt.figure(figsize=(12, 2))\n", + "plt.subplot(2,1,2)\n", "plt.plot(tr_filt.times(), tr_filt.data)\n", "plt.xlabel(\"Time (s)\")\n", "plt.ylabel(\"Acceleration (m/s^2)\")\n", @@ -884,11 +903,64 @@ ] }, { - "cell_type": "code", - "execution_count": null, - "id": "9a696bb8", + "cell_type": "markdown", + "id": "306b302b", + "metadata": {}, + "source": [ + "#### **2.4 Stage analysis ready formats**" + ] + }, + { + "cell_type": "markdown", + "id": "087d0335", + "metadata": {}, + "source": [ + "At this point, we have the filtered version of the waveform. Before treating it as analysis-ready, we should compare the waveform **before** and **after** filtering. This is an important quality-control step because filtering should reduce unwanted noise without distorting the earthquake signal that we want to study.\n", + "\n", + "As we compare the unfiltered and filtered waveforms, we need to ask ourselves:\n", + "- Does the filtered waveform look cleaner than the original waveform?\n", + "- Has low-frequency drift or high-frequency noise been reduced?\n", + "- Is the main earthquake signal still preserved?\n", + "- Are the arrival time and overall waveform shape still reasonable?\n", + "- Did the filter remove anything that may be scientifically useful?\n", + "- Did the filter introduce any artificial ringing or distortion?\n", + "\n", + "If the filtered waveform improves signal clarity while preserving the main arrival and waveform shape, then we can treat this processing sequence as a good candidate for producing an **analysis-ready waveform**. This means the waveform has been cleaned, standardized, documented, and stored in a way that makes it ready for repeated scientific use.\n", + "\n", + "In a small example like this notebook, we can manually inspect one waveform, choose preprocessing parameters, and then apply them to a few more stations. However, for a large seismic dataset, this approach becomes more challenging. Downloading, trimming, correcting, filtering, and saving each waveform one by one can become slow and computationally expensive.\n", + "\n", + "There are two general ways to move from single-waveform preprocessing to dataset-scale analysis.\n", + "\n", + "**Pathway 1:** Process every waveform individually\n", + "\n", + "In this workflow, each waveform is downloaded, preprocessed, inspected, and saved individually. This is simple and transparent, but it can become inefficient for large datasets. Repeated waveform downloads and repeated local processing can stress the local workstation by increasing pressure on RAM, disk storage, disk cache, CPU time, and network bandwidth.\n", + "\n", + "**Pathway 2:** Explore parameters first, then stage analysis-ready products\n", + "\n", + "A more scalable workflow is to first explore a representative subset of waveforms. Once the preprocessing choices are understood, those parameters can be applied consistently across the larger dataset.\n", + "\n", + ">Access waveform subset\n", + " → explore preprocessing parameters\n", + " → choose stable processing settings\n", + " → apply settings to larger dataset\n", + " → save analysis-ready waveform products\n", + "\n", + "This second pathway is often more efficient because the expensive exploration step is done on a smaller subset of data. Once the processing recipe is selected, the same workflow can be applied at scale.\n", + "\n", + "For small and medium-sized datasets, the traditional local workflow may be sufficient. For large-scale seismic datasets, however, repeatedly downloading and processing raw data on a local machine can become cumbersome. In that case, a cloud-optimized or GeoLab-based workflow can make the process faster, more reproducible, and easier to scale.\n", + "\n", + "| Workflow step | Traditional Workflow | GeoLab based Workflow |\n", + "| :---: | :---: | :---: |\n", + "| Data access | Need to download raw data | Cloud-optimized access to raw data & save processed waveform of small or intermediate scale |\n", + "| Data storage | Save processed waveforms on local machine | Save processed waveform of small or intermediate scale in temporary cloud storage |\n", + "| Computational load | Large datasets can stress local RAM, disk storage, disk cache, CPU & network bandwidth | Efficient data access with negligible stress on computational resources |\n", + "| Repeated experiements | Changing parameters may require repeated downloads and local reprocessing | Parameters can be tested efficiently on subsets before scaling up |" + ] + }, + { + "cell_type": "markdown", + "id": "fa3af189", "metadata": {}, - "outputs": [], "source": [] } ], From 8f1779c445339e623adc29a9e9f5516b637e4b63 Mon Sep 17 00:00:00 2001 From: Asif Ashraf Date: Wed, 1 Jul 2026 06:26:01 -0700 Subject: [PATCH 04/15] push week 2.2.1 --- .DS_Store | Bin 6148 -> 6148 bytes tutorials/.DS_Store | Bin 6148 -> 6148 bytes tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb | 55 +++++++++++++---------- tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb | 9 ++-- 4 files changed, 38 insertions(+), 26 deletions(-) diff --git a/.DS_Store b/.DS_Store index ac61dc16d8dbfc2e84580cebfcda2f95eb0a260e..22fb72d7883c383cce0307861a7d0e596cfdcbd4 100644 GIT binary patch delta 28 jcmZoMXffEZoQdDW)TCBNq1w{OKu5vE*lhDQCO=UCdu9j( delta 28 jcmZoMXffEZoQdDa$gEaJq1wXSSVzIk%w+R6CO=UCdy)tX diff --git a/tutorials/.DS_Store b/tutorials/.DS_Store index 7fc39b52d3e7741f82fc744dafe97cee35b973db..74d9b5d18f194f9c75e9789de010893b97f7327a 100644 GIT binary patch delta 33 ncmZoMXffDugGt2P&`?Lg#K@plN1@u%$N 2\u001b[0m st \u001b[38;5;241m=\u001b[39m \u001b[43mclient\u001b[49m\u001b[38;5;241m.\u001b[39mget_waveforms(network\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mUW\u001b[39m\u001b[38;5;124m\"\u001b[39m, station\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mBILS\u001b[39m\u001b[38;5;124m\"\u001b[39m, location\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m*\u001b[39m\u001b[38;5;124m\"\u001b[39m, channel\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mHNZ\u001b[39m\u001b[38;5;124m\"\u001b[39m, starttime\u001b[38;5;241m=\u001b[39mt1, endtime\u001b[38;5;241m=\u001b[39mt2)\n\u001b[1;32m 3\u001b[0m tr \u001b[38;5;241m=\u001b[39m st[\u001b[38;5;241m0\u001b[39m]\n\u001b[1;32m 5\u001b[0m \u001b[38;5;28mprint\u001b[39m(tr\u001b[38;5;241m.\u001b[39mstats)\n", - "\u001b[0;31mNameError\u001b[0m: name 'client' is not defined" + "name": "stdout", + "output_type": "stream", + "text": [ + " network: UW\n", + " station: BILS\n", + " location: \n", + " channel: HNZ\n", + " starttime: 2018-11-19T11:07:13.130000Z\n", + " endtime: 2018-11-19T11:17:13.130000Z\n", + " sampling_rate: 200.0\n", + " delta: 0.005\n", + " npts: 120001\n", + " calib: 1.0\n", + "_fdsnws_dataselect_url: http://service.iris.edu/fdsnws/dataselect/1/query\n", + " _format: MSEED\n", + " mseed: AttribDict({'dataquality': 'M', 'number_of_records': 283, 'encoding': 'STEIM2', 'byteorder': '>', 'record_length': 512, 'filesize': 144896})\n", + " processing: ['ObsPy 1.4.2: trim(endtime=UTCDateTime(2018, 11, 19, 11, 17, 13, 130000)::fill_value=None::nearest_sample=True::pad=False::starttime=UTCDateTime(2018, 11, 19, 11, 7, 13, 130000))']\n" ] } ], diff --git a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb index f716ee4..67c4b64 100644 --- a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb +++ b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb @@ -15,11 +15,14 @@ "id": "60662fae", "metadata": {}, "source": [ - "In Notebook 1, we learned how to discover seismic events, select stations, retrieve waveform data, and store the metadata as a reusable product.\n", + "In **Notebook 1**, we learned how to discover seismic events, select nearby stations, retrieve station metadata, and save those results as reusable files. In this notebook, we take the next step: using that metadata to download, inspect, clean, and prepare seismic waveform data for analysis.\n", "\n", - "In this notebook, we take the next step: inspecting and preprocessing the waveform to decide whether they are ready for analysis.\n", + "Raw seismic waveforms are not automatically analysis-ready. When we download a seismogram from a data service, the waveform may contain multiple trace segments, timing gaps or overlaps, raw digital counts, instrument effects, background noise, or frequency content that is not useful for the scientific question we want to ask. Before we can interpret the signal, we need to understand what is inside the waveform and apply a careful sequence of preprocessing steps.\n", "\n", - "A waveform dataset is not automatically useful just because it was retrieved successfully. Some traces may have gaps, missing channels, unusual sampling rates, incomplete metadata, noisy records, or unavailable instrument response information. Before using the data for scientific interpretation, we need to check its quality and prepare it consistently." + "This notebook focuses on that transition:\n", + "\n", + "```text\n", + "station metadata → waveform download → data inspection → preprocessing → analysis-ready waveform" ] }, { From b9e5ca03767f77a989fe9bfaeec1dfe18953b0e0 Mon Sep 17 00:00:00 2001 From: Asif Ashraf Date: Thu, 2 Jul 2026 13:35:56 -0700 Subject: [PATCH 05/15] push week2.4 --- .DS_Store | Bin 6148 -> 6148 bytes tutorials/.DS_Store | Bin 6148 -> 8196 bytes tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb | 57 ++++-- tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb | 230 ++++++++++++----------- 4 files changed, 160 insertions(+), 127 deletions(-) diff --git a/.DS_Store b/.DS_Store index 22fb72d7883c383cce0307861a7d0e596cfdcbd4..ccddf6790e45785a4f0ac9408f4e229764c3f84d 100644 GIT binary patch delta 73 zcmZoMXffEJ%fz^6vK~{RwoG-ku92msg^q%*v7u3|jzYDeftk6Ef`ySuZ7nB1^6)XS% delta 72 zcmZoMXffEJ%fz^2vK~{RxkpHnVg5v!{TxFFqKO?j$q+ z%zxRL`RDs*`kw*-w&#uY0M!7%sB)@SP%}f}a$avLQphPIiewL9fDS%b;DU3LcEpH0 z5P2Z-K;(hQ1Ca-A1rN}h%?q35-51iRjXV%}U`~2~-w$!BoF+p$C1`MUP!ps8L`#Vs z6zWqR5ZJ^+nhfcbpn)lUQ)CYqnqrt@pfD$SoU0Q}hIC3$VGbzF0mGRw%uq0xo$TU) zI$%=JsEs@jdEjOb@Z7xu4pYXSr=0!z{N3xd-E78oGo-O9q^t3jb2fDC;w2zy{X zG(rm6pc}d}lioyV@lj^Nwmd(PxP($kY1zDTR?aHe!PJ;Lneuf%@3rf>{d_dwx^|}6 z*E55bIhj_gI$X!sEyv6S29{xx%7G!vG2F>^H}4o;V4D&GCNnv$R-ZiCvUz<&e8c9% zsfPH;)(weSFMv}WDbz3HR&xZ^$%tQ|1CMqq&$Pq$CbyffP?bcmgmEGzEp z+v3h-r9vAVQbyA1;sPzdf5Nw1#~UttE=29DA}3sa@Jg~_V1&(<@h9kRBx5^L8` zLHIXh-n*UA>Klf$?)W(E#}jO=y@N6J!XZBQZr$_yCrpQ?4|W&Vx)~eck~YI2rndqkWEJ}0L~bzNv;*g z5;#?^NhZSMVxU12y=*;j08E&G)9@6$0%zeZ_z*sY3-C2uhVS5e_yK-`EAS`$jip$I z<;buSSKw{95?5h8w%|tGgzdNscVi#+;{YDSLzqS#52K3{cnm!}fsf*8JcEzp)A$0u zh%e#G_$HpixA7f3kDucg_$7XYm+(jY1+U<5_&fe3$&w;fNLA9^(i*8wS}Qe6TclR8 za;X?Mqv1|MBDGUzh8uz6CcF`(V>87~?7nWL_m+s8%kz1pR4!gpwRBa@n#K*AwkD^+ zB;Z#>-1SHfz#7{8}uD*eXVvTF!CII7YSGmDMq|jPNgp zcPh0pbsk|~4C`X`F;$|F6T_xhLQzX7pya@|IaaTz$i!f?(yFMX6k1}qP1&xfz@uG^ z+hQFtl?Tdyfb6^QF?>dly-1M#8GeO7;3~m%AyyMaYjF+MVFNZ2Ot)YwZpCfbh27YL zI|;M{IEX_yf}@y4lOQ{W7Us~$JQna_e1w2|1|K8XK7-HVbND=-#aHn)d>!8i0Q?@l z|1U`Hyb+T4$;^-}q;ih!I!8!a1oMrCb7oW`c3REz|E}48|DQAdh&CE|U@m$9OFL7Y z`~jcsK9oonr}`jOUbxKd?;WYDNb`B0fW}prr5a0$9t{}}D3%@f@=9h5 pull gigabytes of data onto local disk --> figure out what is needed\n", + "> Which earthquake and which seismic stations should we study?\n", "\n", - "##### **GeoLab way**\n", - "Discover what exists --> scope it to your science question --> stream only the bytes you need\n", + "We will then use metadata queries to identify relevant events, stations, and channels before requesting waveform data. The notebook walks through a practical workflow for discovering seismic data, narrowing the dataset, checking waveform availability, and saving compact metadata products that can be reused in later analysis.\n", "\n", - "All inside the same cloud, where data lives\n", + "##### **Why this workflow is useful**\n", "\n", - "Instead of asking \"what files should I download?\", a cloud-optimized workflow allows for the user a better sequence of questions:\n", + "The workflow presented in the notebook helps distinguish between traditional seismic research and GeoLab based cloud-optimized data analysis.\n", "\n", - "1. What event or time-window matters for my science question?\n", - "2. Which stations nad channels were operating then?\n", - "3. Which of those stations actually have waveform data?\n", - "4. How much data will this request stream?\n", + "In a traditional local setting, researchers often begin by downloading waveform files before they know which data are most useful. That can lead to repeated downloads, local file management, and unnecessary storage use when the event, station list, channel, or time window changes.\n", "\n", - "When using cloud platform, such as **GeoLab**, it is possible for users to iterate through these steps multiple times with much better time efficiency than using a local workstation. The reason is, in **GeoLab** you are computing near data.\n", + "GeoLab supports a more efficient cloud-based workflow. Instead of downloading everything first, we can explore metadata, test data availability, retrieve only the waveform windows we need, and save lightweight products that make the workflow easier to repeat and share. This “explore first, download less” approach is especially useful for seismic data because waveform archives can be large, while the metadata needed for early decision-making is much smaller.\n", "\n", - "Assumed background\n", + "##### **What you will accomplish**\n", "\n", - "This notebook assumes basic familiarity with Python, pandas, plotting, and ObsPy. You do not need to know cloud computing in advance, but you are expected to go through the notebooks in the `Cloud Foundations` offered by EarthScope.\n", + "By the end of this notebook, we will have:\n", + "\n", + "1. queried an earthquake catalog;\n", + "2. selected an event and identified stations operating during the event window;\n", + "3. converted station metadata into a table that can be filtered and inspected;\n", + "4. checked which filtered stations have waveform data available; and\n", + "5. saved event parameters and station metadata for later use.\n", + "\n", + "The products from this notebook will help prepare the input dataset for the next stage of the seismic workflow.\n", + "\n", + "##### **Prerequisites**\n", + "\n", + "Before starting this notebook, you should have:\n", + "\n", + "- access to EarthScope GeoLab and a running JupyterLab session;\n", + "- basic familiarity with Python;\n", + "- basic familiarity with seismic data processing including `obspy`;\n", + "- a GeoLab environment with the following Python packages available: `obspy`, `pandas`, `matplotlib`, `cartopy`, and `json`;\n", + "\n", + "No previous notebook in this seismic notebook sequence is required. This is **Notebook 1**. For additional background, it is encouraged to review the **Cloud Foundations** notebook series, before or alongside this notebook.\n", + "\n", + "##### **Recommended GeoLab compute resources**\n", + "\n", + "- **Image:** Use the course-provided GeoLab image that includes the seismic and geospatial Python stack, including `obspy`, `pandas`, `matplotlib`, and `cartopy`.\n", + "- **Server size:** A Small server is sufficient for the default version of this notebook because it uses metadata queries, short waveform windows, station tables, and lightweight plotting. Use a Medium server if you expand the exercise to many events, longer waveform windows, or a larger station set.\n", + "\n", + "##### **Learning objectives**\n", + "\n", + "1. With GeoLab set-up a computing environment inside in the cloud \n", + "2. Use `obspy` to access seismic data in the cloud\n", + "3. Analyze event and station metadata to build a dataframe for the science objective\n", + "4. Save compact metadata products to establish a reproducible workflow\n", "\n", "---" ] diff --git a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb index 67c4b64..65402cf 100644 --- a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb +++ b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb @@ -15,14 +15,77 @@ "id": "60662fae", "metadata": {}, "source": [ - "In **Notebook 1**, we learned how to discover seismic events, select nearby stations, retrieve station metadata, and save those results as reusable files. In this notebook, we take the next step: using that metadata to download, inspect, clean, and prepare seismic waveform data for analysis.\n", + "This notebook continues the cloud-based seismic workflow started in **Notebook 1**. In **Notebook 1**, we discovered an earthquake event, selected stations, checked waveform availability, and saved reusable event and station metadata. In this notebook, we will use those saved products to retrieve waveform data, inspect waveform quality, apply basic preprocessing steps, and evaluate whether the processed waveform is ready for analysis.\n", + "\n", + "The main workflow in this notebook is:\n", + "\n", + "```\n", + "saved event and station metadata\n", + " → waveform streaming\n", + " → waveform inspection\n", + " → preprocessing\n", + " → quality control\n", + " → analysis-ready waveform\n", + "```\n", + "##### **Why this workflow is useful**\n", + "\n", + "Raw seismic waveforms are not automatically analysis-ready. A waveform downloaded from a data service may contain multiple trace segments, timing gaps or overlaps, instrument effects, raw digital counts, background noise, or frequency content that is not useful for the scientific question.\n", + "\n", + "Before interpreting the signal, we need to inspect the waveform and apply a careful sequence of preprocessing steps. This notebook shows how to move from raw downloaded waveform data toward a cleaner and more standardized waveform that can support later analysis.\n", + "\n", + "GeoLab is useful for this stage because it lets you test preprocessing choices interactively in the same cloud environment where data discovery and retrieval were performed. Instead of repeatedly downloading data to a local machine, you can explore waveform quality, adjust processing parameters, and prepare a reusable processing recipe that can later be applied to a larger dataset.\n", + "\n", + "##### **What you will accomplish**\n", + "\n", + "By the end of this notebook, you will have:\n", + "\n", + "1. loaded the event and station metadata saved from Notebook 1;\n", + "2. retrieved waveform data for selected stations using ObsPy;\n", + "3. inspected waveform streams for multiple traces, gaps, and overlaps;\n", + "4. visualized raw waveform data for quality control;\n", + "5. trimmed the waveform around the signal of interest;\n", + "6. removed the instrument response to convert raw counts into physical ground-motion units;\n", + "7. inspected the frequency content of the waveform using a spectrogram;\n", + "8. applied a filter to reduce unwanted noise; and\n", + "9. compared unfiltered and filtered waveforms before treating the result as analysis-ready.\n", + "\n", + "##### **Prerequisites**\n", + "\n", + "Before starting this notebook, you should have:\n", + "\n", + "- access to EarthScope GeoLab and a running JupyterLab session;\n", + "- basic familiarity with Python;\n", + "- basic familiarity with seismic data processing including `obspy`;\n", + "- a GeoLab environment with the following Python packages available: `obspy`, `pandas`, `matplotlib`, `cartopy`, and `json`;\n", + "\n", + "You should complete **Notebook 1 — Discovering and Retrieving Seismic Data** before starting this notebook.\n", + "\n", + "**Notebook 2** depends on files created in Notebook 1, including:\n", + "```\n", + "station_inventory.xml\n", + "station_dataframe.csv\n", + "event_selection.json\n", + "```\n", + "These files provide the station inventory, filtered station table, event time, waveform time window, and target channel used in this notebook.\n", + "\n", + "##### **Recommended GeoLab compute resources**\n", + "- **Image**: Use the course-provided GeoLab image that includes the seismic and scientific Python stack, including obspy, pandas, matplotlib, scipy, and numpy. Replace this sentence with the exact image name shown in your GeoLab deployment.\n", + "- **Server size**: A Small server should be sufficient for the default version of this notebook because it works with short waveform windows and a limited number of stations. Use a Medium server if you expand the notebook to many stations, longer waveform windows, repeated filtering tests, or larger waveform-processing experiments.\n", + "\n", + "\n", "\n", "Raw seismic waveforms are not automatically analysis-ready. When we download a seismogram from a data service, the waveform may contain multiple trace segments, timing gaps or overlaps, raw digital counts, instrument effects, background noise, or frequency content that is not useful for the scientific question we want to ask. Before we can interpret the signal, we need to understand what is inside the waveform and apply a careful sequence of preprocessing steps.\n", "\n", - "This notebook focuses on that transition:\n", + "##### **Learning objectives**\n", + "\n", + "After completing this notebook, you will be able to:\n", + "\n", + "1. Inspect ObsPy Stream and Trace objects to identify waveform segmentation, gaps, and overlaps.\n", + "2. Apply basic waveform preprocessing steps, including trimming, instrument-response removal, and filtering.\n", + "3. Use visualizations such as waveform plots and spectrograms to guide processing decisions.\n", + "4. Explain how preprocessing choices help turn raw seismic data into analysis-ready waveform products.\n", "\n", - "```text\n", - "station metadata → waveform download → data inspection → preprocessing → analysis-ready waveform" + "---" ] }, { @@ -317,7 +380,7 @@ "st_inv = read_inventory(\"station_inventory.xml\")\n", "\n", "import pandas as pd\n", - "df = pd.read_csv(\"station_dataframe.csv\")\n", + "st_df = pd.read_csv(\"station_dataframe.csv\")\n", "\n", "import json\n", "from obspy import UTCDateTime\n", @@ -330,12 +393,20 @@ "t2 = UTCDateTime(event_selection[\"end_time\"])\n", "target_channel = event_selection[\"target_channel\"]\n", "\n", - "df\n" + "st_df\n" + ] + }, + { + "cell_type": "markdown", + "id": "55a2b854", + "metadata": {}, + "source": [ + "**Connection to EarthScope Client**" ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 7, "id": "cd74ccb5", "metadata": {}, "outputs": [ @@ -351,7 +422,7 @@ "all webservices." ] }, - "execution_count": 23, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } @@ -409,109 +480,21 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "e1961696", "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Station NLWA (US)\n", - "Retrieved 2 trace(s)\n", - " Trace 1: US.NLWA.20.HNZ, 2018-11-19T11:07:59.735000Z to 2018-11-19T11:09:06.510000Z, npts=13356, dt=0.005\n", - " Trace 2: US.NLWA.20.HNZ, 2018-11-19T11:09:06.515000Z to 2018-11-19T11:11:28.110000Z, npts=28320, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station BILS (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.BILS..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station BLN (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.BLN..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station ERW (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.ERW..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station HURR (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.HURR..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station LWCK (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.LWCK..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station MAC (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.MAC..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station OOW2 (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.OOW2..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station QCDG (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.QCDG.01.HNZ, 2018-11-19T11:08:29.940000Z to 2018-11-19T11:12:31.995000Z, npts=48412, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station QCEN (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.QCEN.01.HNZ, 2018-11-19T11:08:38.920000Z to 2018-11-19T11:12:41.115000Z, npts=48440, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station QCMM (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.QCMM.01.HNZ, 2018-11-19T11:08:28.240000Z to 2018-11-19T11:12:30.705000Z, npts=48494, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station QFRZ (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.QFRZ.01.HNZ, 2018-11-19T11:08:29.495000Z to 2018-11-19T11:12:30.600000Z, npts=48222, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station QOCL (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.QOCL.01.HNZ, 2018-11-19T11:08:28.950000Z to 2018-11-19T11:12:31.085000Z, npts=48428, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station QSKT (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.QSKT.01.HNZ, 2018-11-19T11:08:29.670000Z to 2018-11-19T11:12:31.575000Z, npts=48382, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station QTNB (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.QTNB.01.HNZ, 2018-11-19T11:08:28.420000Z to 2018-11-19T11:12:31.105000Z, npts=48538, dt=0.005\n", - "No gaps or overlaps detected.\n", - "\n", - "Station UPL (UW)\n", - "Retrieved 1 trace(s)\n", - " Trace 1: UW.UPL..HNZ, 2018-11-19T11:07:13.130000Z to 2018-11-19T11:17:13.130000Z, npts=120001, dt=0.005\n", - "No gaps or overlaps detected.\n" - ] - } - ], + "outputs": [], "source": [ "# Retrieve waveform data for each station in the DataFrame and store information data gaps\n", "gaps_info = [] # Initialize an empty list to store gap information\n", - "for i in range(len(df)):\n", + "for i in range(len(st_df)):\n", "\n", " # 1. go through each row in the DataFrame\n", " row_number = i \n", "\n", " # 2. Retrieve the station and network codes from the DataFrame\n", - " station = df.iloc[row_number].station\n", - " network = df.iloc[row_number].network\n", + " station = st_df.iloc[row_number].station\n", + " network = st_df.iloc[row_number].network\n", " \n", " # 3. Retrieve the waveform data for the specified station and channel\n", " st = client.get_waveforms(\n", @@ -526,17 +509,18 @@ " # 4. Sort the traces in the stream by start time\n", " st.sort() \n", "\n", - " print(f\"\\nStation {station} ({network})\")\n", - " print(f\"Retrieved {len(st)} trace(s)\")\n", + " # 5. Print statement if more than one trace is retrieved for the station\n", + " if len(st) > 1:\n", + " print(f\"\\nStation {station} ({network})\")\n", + " print(f\"Retrieved {len(st)} trace(s)\")\n", "\n", - " # 5. Print the details of each trace in the stream\n", - " for j, tr in enumerate(st):\n", - " print(\n", - " f\" Trace {j+1}: {tr.id}, \" # 5.1 Print the trace ID\n", - " f\"{tr.stats.starttime} to {tr.stats.endtime}, \" # 5.2 Print the start and end times of the trace\n", - " f\"npts={tr.stats.npts}, \" # 5.3 Print the number of points in the trace\n", - " f\"dt={tr.stats.delta}\" # 5.4 Print the sample interval of the trace\n", - " )\n", + " for j, tr in enumerate(st):\n", + " print(\n", + " f\" Trace {j+1}: {tr.id}, \" # 5.1 Print the trace ID\n", + " f\"{tr.stats.starttime} to {tr.stats.endtime}, \" # 5.2 Print the start and end times of the trace\n", + " f\"npts={tr.stats.npts}, \" # 5.3 Print the number of points in the trace\n", + " f\"dt={tr.stats.delta}\" # 5.4 Print the sample interval of the trace\n", + " )\n", "\n", " # 6. Check for gaps in the stream\n", " gaps = st.get_gaps()\n", @@ -547,7 +531,10 @@ " print(\"Gaps/overlaps detected:\")\n", " gaps_info.append(True) # Append True to the gaps list if gaps are detected\n", " for gap in gaps:\n", - " print(gap)" + " print(gap)\n", + "\n", + "st_df[\"gaps_detected\"] = gaps_info # Add the gaps information to the DataFrame\n", + "st_df" ] }, { @@ -960,6 +947,25 @@ "| Repeated experiements | Changing parameters may require repeated downloads and local reprocessing | Parameters can be tested efficiently on subsets before scaling up |" ] }, + { + "cell_type": "markdown", + "id": "0626857a", + "metadata": {}, + "source": [ + "Below, we will apply the preprocessing recipe to every station in the station dataframe one-by-one to stage analysis ready formats. For that we have create a reusable function that will output the filtered waveform." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "4556b670", + "metadata": {}, + "outputs": [], + "source": [ + "def process_and_save_filtered_waveform(station_dataframe):\n", + " " + ] + }, { "cell_type": "markdown", "id": "fa3af189", From 33a582ab672224231b34422235c7ece9a3a8ba95 Mon Sep 17 00:00:00 2001 From: Asif Ashraf Date: Thu, 2 Jul 2026 17:58:19 -0700 Subject: [PATCH 06/15] draft commit --- tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb | 12 +- tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb | 515 ++++++++++++++++-- .../0_US.NLWA.20.HNZ_filtered.mseed | Bin 0 -> 54272 bytes 3 files changed, 478 insertions(+), 49 deletions(-) create mode 100644 tutorials/MVP1-SAGE/filtered_waveform/0_US.NLWA.20.HNZ_filtered.mseed diff --git a/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb index 7537415..de8e307 100644 --- a/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb +++ b/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb @@ -15,7 +15,7 @@ "id": "cdaf97c7", "metadata": {}, "source": [ - "##### **What this notebook does**\n", + "**What this notebook does**\n", "\n", "This notebook introduces the first step in a cloud-based seismic workflow in GeoLab. We will begin with a scientific question:\n", "\n", @@ -23,7 +23,7 @@ "\n", "We will then use metadata queries to identify relevant events, stations, and channels before requesting waveform data. The notebook walks through a practical workflow for discovering seismic data, narrowing the dataset, checking waveform availability, and saving compact metadata products that can be reused in later analysis.\n", "\n", - "##### **Why this workflow is useful**\n", + "**Why this workflow is useful**\n", "\n", "The workflow presented in the notebook helps distinguish between traditional seismic research and GeoLab based cloud-optimized data analysis.\n", "\n", @@ -31,7 +31,7 @@ "\n", "GeoLab supports a more efficient cloud-based workflow. Instead of downloading everything first, we can explore metadata, test data availability, retrieve only the waveform windows we need, and save lightweight products that make the workflow easier to repeat and share. This “explore first, download less” approach is especially useful for seismic data because waveform archives can be large, while the metadata needed for early decision-making is much smaller.\n", "\n", - "##### **What you will accomplish**\n", + "**What you will accomplish**\n", "\n", "By the end of this notebook, we will have:\n", "\n", @@ -43,7 +43,7 @@ "\n", "The products from this notebook will help prepare the input dataset for the next stage of the seismic workflow.\n", "\n", - "##### **Prerequisites**\n", + "**Prerequisites**\n", "\n", "Before starting this notebook, you should have:\n", "\n", @@ -54,12 +54,12 @@ "\n", "No previous notebook in this seismic notebook sequence is required. This is **Notebook 1**. For additional background, it is encouraged to review the **Cloud Foundations** notebook series, before or alongside this notebook.\n", "\n", - "##### **Recommended GeoLab compute resources**\n", + "**Recommended GeoLab compute resources**\n", "\n", "- **Image:** Use the course-provided GeoLab image that includes the seismic and geospatial Python stack, including `obspy`, `pandas`, `matplotlib`, and `cartopy`.\n", "- **Server size:** A Small server is sufficient for the default version of this notebook because it uses metadata queries, short waveform windows, station tables, and lightweight plotting. Use a Medium server if you expand the exercise to many events, longer waveform windows, or a larger station set.\n", "\n", - "##### **Learning objectives**\n", + "**Learning objectives**\n", "\n", "1. With GeoLab set-up a computing environment inside in the cloud \n", "2. Use `obspy` to access seismic data in the cloud\n", diff --git a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb index 65402cf..40f4d05 100644 --- a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb +++ b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb @@ -27,7 +27,7 @@ " → quality control\n", " → analysis-ready waveform\n", "```\n", - "##### **Why this workflow is useful**\n", + "**Why this workflow is useful**\n", "\n", "Raw seismic waveforms are not automatically analysis-ready. A waveform downloaded from a data service may contain multiple trace segments, timing gaps or overlaps, instrument effects, raw digital counts, background noise, or frequency content that is not useful for the scientific question.\n", "\n", @@ -35,7 +35,7 @@ "\n", "GeoLab is useful for this stage because it lets you test preprocessing choices interactively in the same cloud environment where data discovery and retrieval were performed. Instead of repeatedly downloading data to a local machine, you can explore waveform quality, adjust processing parameters, and prepare a reusable processing recipe that can later be applied to a larger dataset.\n", "\n", - "##### **What you will accomplish**\n", + "**What you will accomplish**\n", "\n", "By the end of this notebook, you will have:\n", "\n", @@ -49,7 +49,7 @@ "8. applied a filter to reduce unwanted noise; and\n", "9. compared unfiltered and filtered waveforms before treating the result as analysis-ready.\n", "\n", - "##### **Prerequisites**\n", + "**Prerequisites**\n", "\n", "Before starting this notebook, you should have:\n", "\n", @@ -60,15 +60,12 @@ "\n", "You should complete **Notebook 1 — Discovering and Retrieving Seismic Data** before starting this notebook.\n", "\n", - "**Notebook 2** depends on files created in Notebook 1, including:\n", - "```\n", - "station_inventory.xml\n", - "station_dataframe.csv\n", - "event_selection.json\n", - "```\n", + "**Notebook 2** depends on files created in Notebook 1: `station_inventory.xml`, `station_dataframe.csv`,\n", + "`event_selection.json`\n", + "\n", "These files provide the station inventory, filtered station table, event time, waveform time window, and target channel used in this notebook.\n", "\n", - "##### **Recommended GeoLab compute resources**\n", + "**Recommended GeoLab compute resources**\n", "- **Image**: Use the course-provided GeoLab image that includes the seismic and scientific Python stack, including obspy, pandas, matplotlib, scipy, and numpy. Replace this sentence with the exact image name shown in your GeoLab deployment.\n", "- **Server size**: A Small server should be sufficient for the default version of this notebook because it works with short waveform windows and a limited number of stations. Use a Medium server if you expand the notebook to many stations, longer waveform windows, repeated filtering tests, or larger waveform-processing experiments.\n", "\n", @@ -76,7 +73,7 @@ "\n", "Raw seismic waveforms are not automatically analysis-ready. When we download a seismogram from a data service, the waveform may contain multiple trace segments, timing gaps or overlaps, raw digital counts, instrument effects, background noise, or frequency content that is not useful for the scientific question we want to ask. Before we can interpret the signal, we need to understand what is inside the waveform and apply a careful sequence of preprocessing steps.\n", "\n", - "##### **Learning objectives**\n", + "**Learning objectives**\n", "\n", "After completing this notebook, you will be able to:\n", "\n", @@ -480,10 +477,310 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "id": "e1961696", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Station NLWA (US)\n", + "Retrieved 2 trace(s)\n", + " Trace 1: US.NLWA.20.HNZ, 2018-11-19T11:07:59.735000Z to 2018-11-19T11:09:06.510000Z, npts=13356, dt=0.005\n", + " Trace 2: US.NLWA.20.HNZ, 2018-11-19T11:09:06.515000Z to 2018-11-19T11:11:28.110000Z, npts=28320, dt=0.005\n" + ] + }, + { + "data": { + "text/html": [ + "
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networkstationstart_datelatitudelongitudeelevationchannelsample_ratedata_availablegaps_detected
0USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0TrueFalse
1UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0TrueFalse
2UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0TrueFalse
3UWERW1997-12-01T00:00:00.000000Z48.453827-122.626121387.0HNZ200.0TrueFalse
4UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0TrueFalse
5UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0TrueFalse
6UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0TrueFalse
7UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0TrueFalse
8UWQCDG2011-11-16T00:00:00.000000Z48.100020-122.58696052.2HNZ200.0TrueFalse
9UWQCEN2012-06-14T00:00:00.000000Z46.716350-122.96190055.4HNZ200.0TrueFalse
10UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0TrueFalse
11UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0TrueFalse
12UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0TrueFalse
13UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0TrueFalse
14UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0TrueFalse
15UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0TrueFalse
\n", + "
" + ], + "text/plain": [ + " network station start_date latitude longitude \\\n", + "0 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", + "1 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", + "2 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", + "3 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", + "4 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", + "5 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", + "6 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", + "7 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", + "8 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", + "9 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", + "10 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", + "11 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", + "12 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", + "13 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", + "14 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", + "15 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", + "\n", + " elevation channel sample_rate data_available gaps_detected \n", + "0 640.0 HNZ 200.0 True False \n", + "1 62.0 HNZ 200.0 True False \n", + "2 601.0 HNZ 200.0 True False \n", + "3 387.0 HNZ 200.0 True False \n", + "4 1605.0 HNZ 200.0 True False \n", + "5 60.4 HNZ 200.0 True False \n", + "6 112.5 HNZ 200.0 True False \n", + "7 741.0 HNZ 200.0 True False \n", + "8 52.2 HNZ 200.0 True False \n", + "9 55.4 HNZ 200.0 True False \n", + "10 90.2 HNZ 200.0 True False \n", + "11 56.4 HNZ 200.0 True False \n", + "12 53.3 HNZ 200.0 True False \n", + "13 116.9 HNZ 200.0 True False \n", + "14 78.8 HNZ 200.0 True False \n", + "15 126.0 HNZ 200.0 True False " + ] + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# Retrieve waveform data for each station in the DataFrame and store information data gaps\n", "gaps_info = [] # Initialize an empty list to store gap information\n", @@ -525,10 +822,8 @@ " # 6. Check for gaps in the stream\n", " gaps = st.get_gaps()\n", " if not gaps:\n", - " print(\"No gaps or overlaps detected.\")\n", " gaps_info.append(False) # Append False to the gaps list if no gaps are detected\n", " else:\n", - " print(\"Gaps/overlaps detected:\")\n", " gaps_info.append(True) # Append True to the gaps list if gaps are detected\n", " for gap in gaps:\n", " print(gap)\n", @@ -547,7 +842,7 @@ }, { "cell_type": "code", - "execution_count": 32, + "execution_count": 14, "id": "f13d54e8", "metadata": {}, "outputs": [ @@ -583,11 +878,11 @@ "row_number = 0 # You can change this to any row number you want to retrieve\n", "\n", "# Retrieve waveform data for a specific station and channel\n", - "st = client.get_waveforms(network=df.iloc[row_number].network, \n", - " station=df.iloc[row_number].station, location=\"*\", \n", + "st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", + " station=st_df.iloc[row_number].station, location=\"*\", \n", " channel='HNZ', starttime=t1, endtime=t2)\n", "\n", - "print(f\"Retrieved {len(st)} traces for station {df.iloc[row_number].station} ({df.iloc[row_number].network})\")\n", + "print(f\"Retrieved {len(st)} traces for station {st_df.iloc[row_number].station} ({st_df.iloc[row_number].network})\")\n", "\n", "import matplotlib.pyplot as plt\n", "import matplotlib.dates as mdates\n", @@ -624,7 +919,7 @@ }, { "cell_type": "code", - "execution_count": 31, + "execution_count": 15, "id": "efd2e64b", "metadata": {}, "outputs": [ @@ -694,7 +989,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "id": "0fe5e488", "metadata": {}, "outputs": [ @@ -716,8 +1011,8 @@ "\n", "# 2.Specify the row number of the station you want to retrieve waveform data for\n", "row_number = 0\n", - "st = client.get_waveforms(network=df.iloc[row_number].network, \n", - " station=df.iloc[row_number].station, location=\"*\", \n", + "st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", + " station=st_df.iloc[row_number].station, location=\"*\", \n", " channel='HNZ', starttime=t1, endtime=t2)\n", "if len(st)>1: # Check if there are multiple traces in the stream\n", " st.sort() # Sort the traces in the stream by start time\n", @@ -773,7 +1068,7 @@ }, { "cell_type": "code", - "execution_count": 33, + "execution_count": 18, "id": "e3b0b7ea", "metadata": {}, "outputs": [ @@ -783,7 +1078,7 @@ "Text(0.5, 1.0, 'Waveform After Instrument Response Removal')" ] }, - "execution_count": 33, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" }, @@ -830,7 +1125,7 @@ }, { "cell_type": "code", - "execution_count": 35, + "execution_count": 19, "id": "bb2b88cd", "metadata": {}, "outputs": [ @@ -874,7 +1169,7 @@ "\n", "tr_filt = tr_corrected.copy()\n", "\n", - "# Bandpass between 1 and 10 Hz, 4-pole Butterworth, zero-phase\n", + "# Bandpass between minimum and maximum frequencies, 4-pole Butterworth, zero-phase\n", "tr_filt.detrend(\"demean\") # remove DC offset\n", "tr_filt.detrend(\"linear\") # remove linear trend\n", "tr_filt.taper(max_percentage=0.05, type=\"hann\") # taper the ends to zero\n", @@ -935,16 +1230,15 @@ " → apply settings to larger dataset\n", " → save analysis-ready waveform products\n", "\n", - "This second pathway is often more efficient because the expensive exploration step is done on a smaller subset of data. Once the processing recipe is selected, the same workflow can be applied at scale.\n", - "\n", - "For small and medium-sized datasets, the traditional local workflow may be sufficient. For large-scale seismic datasets, however, repeatedly downloading and processing raw data on a local machine can become cumbersome. In that case, a cloud-optimized or GeoLab-based workflow can make the process faster, more reproducible, and easier to scale.\n", - "\n", - "| Workflow step | Traditional Workflow | GeoLab based Workflow |\n", - "| :---: | :---: | :---: |\n", - "| Data access | Need to download raw data | Cloud-optimized access to raw data & save processed waveform of small or intermediate scale |\n", - "| Data storage | Save processed waveforms on local machine | Save processed waveform of small or intermediate scale in temporary cloud storage |\n", - "| Computational load | Large datasets can stress local RAM, disk storage, disk cache, CPU & network bandwidth | Efficient data access with negligible stress on computational resources |\n", - "| Repeated experiements | Changing parameters may require repeated downloads and local reprocessing | Parameters can be tested efficiently on subsets before scaling up |" + "This second pathway is often more efficient because the expensive exploration step is done on a smaller subset of data. Once the processing recipe is selected, the same workflow can be applied at scale." + ] + }, + { + "cell_type": "markdown", + "id": "d28e097b", + "metadata": {}, + "source": [ + "## **3. Visualization**" ] }, { @@ -952,7 +1246,15 @@ "id": "0626857a", "metadata": {}, "source": [ - "Below, we will apply the preprocessing recipe to every station in the station dataframe one-by-one to stage analysis ready formats. For that we have create a reusable function that will output the filtered waveform." + "Below, we will apply the preprocessing recipe to every station in the station dataframe one-by-one to stage analysis ready formats. For that we go through all preprocessing steps in a single code block and changed processing parameters based on visualization. Then we store the filtered output. Since our default dataset is small (<20 waveforms), we are saving them in home directory." + ] + }, + { + "cell_type": "markdown", + "id": "f080ce21", + "metadata": {}, + "source": [ + "> ✏️ In the code block below, go through every row of station dataframe, pick a time window around the event, set up frequency parameters for bandpass filtereing and then save filtered trace. You are encouraged to tune the time and frequency parameters based on the need of each waveform." ] }, { @@ -960,17 +1262,144 @@ "execution_count": null, "id": "4556b670", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/asifashraf/Documents/Fq_Decomp/codes_main/.conda/lib/python3.11/site-packages/obspy/io/mseed/core.py:773: UserWarning: The encoding specified in trace.stats.mseed.encoding does not match the dtype of the data.\n", + "A suitable encoding will be chosen.\n", + " warnings.warn(msg, UserWarning)\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "def process_and_save_filtered_waveform(station_dataframe):\n", - " " + "# --------------------\n", + "# --- USER INPUTS ---\n", + "# --------------------\n", + "\n", + "row_number = 0 # You can change this to any row number you want to retrieve\n", + "time_pick1 = 80\n", + "time_pick2 = 110\n", + "freqmin = 2.0\n", + "freqmax = 9.0\n", + "\n", + "# -------------------------------------------------------------\n", + "# 1. Retrieve waveform data and go through the processing steps\n", + "# -------------------------------------------------------------\n", + "st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", + " station=st_df.iloc[row_number].station, location=\"*\", \n", + " channel='HNZ', starttime=t1, endtime=t2)\n", + "\n", + "if len(st)>1: # Check if there are multiple traces in the stream\n", + " st.sort() # Sort the traces in the stream by start time\n", + " st.merge(method=1, fill_value=\"None\") # Merge the traces in the stream \n", + " #(change fill_value for gaps/overlaps)\n", + "tr = st[0] # Get the trace from the stream\n", + "utc_times = [(tr.stats.starttime + i * tr.stats.delta).datetime for i in range(tr.stats.npts)]\n", + "\n", + "tr_trim = tr.copy() # Trim the trace to the specified time window\n", + "tr_trim.trim(starttime=tr.stats.starttime+time_pick1, endtime=tr.stats.starttime+time_pick2)\n", + "utc_times_trim = [(tr_trim.stats.starttime + i * tr_trim.stats.delta).datetime for i in range(tr_trim.stats.npts)]\n", + "\n", + "tr_corrected = tr_trim.copy() # Apply instrument response\n", + "tr_corrected.remove_response(inventory=st_inv, output=\"ACC\") # Specify output units\n", + "\n", + "fs = tr_corrected.stats.sampling_rate # Apply bandpass filter to the corrected trace\n", + "nperseg = 700\n", + "noverlap = nperseg - 10\n", + "f, t_spec, Sxx = signal.spectrogram(tr_corrected.data, fs=fs, nperseg=nperseg, noverlap=noverlap)\n", + "t_spec = np.linspace(0, tr_corrected.times()[-1], Sxx.shape[1])\n", + "tr_filt = tr_corrected.copy()\n", + "tr_filt.detrend(\"demean\") # remove DC offset\n", + "tr_filt.detrend(\"linear\") # remove linear trend\n", + "tr_filt.taper(max_percentage=0.05, type=\"hann\") # taper the ends to zero\n", + "tr_filt.filter(\"bandpass\",\n", + " freqmin=freqmin,\n", + " freqmax=freqmax,\n", + " corners=4,\n", + " zerophase=True)\n", + "\n", + "# -----------------\n", + "# 2. Visualitation\n", + "# -----------------\n", + "plt.figure(figsize=(12, 8))\n", + "\n", + "plt.subplot(4,1,1)\n", + "plt.plot(utc_times, tr.data)\n", + "plt.grid()\n", + "plt.xlabel(\"UTC Time\")\n", + "plt.ylabel(\"Amplitude\")\n", + "plt.title(f\"Complete Waveform for {tr.id}\")\n", + "\n", + "plt.subplot(4,1,2)\n", + "plt.plot(utc_times_trim, tr_corrected.data)\n", + "plt.grid()\n", + "plt.xlabel(\"UTC Time\")\n", + "plt.ylabel(\"Acceleration (m/s^2)\")\n", + "plt.title(f\"Waveform after trimming and removal of instrument response\")\n", + "\n", + "plt.subplot(4,1,3)\n", + "plt.pcolormesh(t_spec, f, np.abs(Sxx), shading='gouraud')\n", + "plt.ylim(0, 15)\n", + "plt.axhline(y=freqmin, color='red', linestyle='--', linewidth=1)\n", + "plt.axhline(y=freqmax, color='red', linestyle='--', linewidth=1)\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Frequency (Hz)\")\n", + "plt.title(\"Spectrogram of Trimmed Waveform\")\n", + "\n", + "plt.subplot(4,1,4)\n", + "plt.plot(tr_filt.times(), tr_filt.data)\n", + "plt.grid()\n", + "plt.xlabel(\"Time (s)\")\n", + "plt.ylabel(\"Acceleration (m/s^2)\")\n", + "plt.title(\"Filtered Waveform\")\n", + "\n", + "plt.tight_layout()\n", + "\n", + "# ---------------------------------------------------------\n", + "# 3. Storing the filtered waveform data in MiniSEED format\n", + "# ---------------------------------------------------------\n", + "import os\n", + "# Create the directory if it doesn't exist\n", + "if not os.path.exists(\"filtered_waveform\"):\n", + " os.makedirs(\"filtered_waveform\")\n", + "# saving in miniSEED format\n", + "tr_filt.write(f\"filtered_waveform/{row_number}_{tr.id}_filtered.mseed\", format=\"MSEED\") " + ] + }, + { + "cell_type": "markdown", + "id": "404a1b26", + "metadata": {}, + "source": [ + "## **Reflection**" ] }, { "cell_type": "markdown", - "id": "fa3af189", + "id": "c8b02e8a", "metadata": {}, - "source": [] + "source": [ + "For small and medium-sized datasets, the traditional local workflow may be sufficient. For large-scale seismic datasets, however, repeatedly downloading and processing raw data on a local machine can become cumbersome. In that case, a cloud-optimized or GeoLab-based workflow can make the process faster, more reproducible, and easier to scale.\n", + "\n", + "| Workflow step | Traditional Workflow | GeoLab based Workflow |\n", + "| :---: | :---: | :---: |\n", + "| Data access | Need to download raw data | Cloud-optimized access to raw data & save processed waveform of small or intermediate scale |\n", + "| Data storage | Save processed waveforms on local machine | Save processed waveform of small or intermediate scale in temporary cloud storage |\n", + "| Computational load | Large datasets can stress local RAM, disk storage, disk cache, CPU & network bandwidth | Efficient data access with negligible stress on computational resources |\n", + "| Repeated experiements | Changing parameters may require repeated downloads and local reprocessing | Parameters can be tested efficiently on subsets before scaling up |" + ] } ], "metadata": { diff --git 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and prepared the seismic data. Now, our goal is to determine if we can use it to run a real scientific workflow and evaluate the result. This notebook uses preprocessed waveform data from Notebook 2.\n", + "\n", + "In the first two notebooks, we prepared the ingredients for analysis. Now we will use those ingredients to run a scientific workflow. This is a key transition in cloud-based science. Instead of treating data preparation and scientific analysis as separate tasks, GeoLab allows us to keep the full workflow in one reproducible environment. We can discover data, prepare data, run analysis, compare outputs, and revise choices without repeatedly downloading large waveform files to a local workstation.\n", + "\n", + "**What is notebook does**\n", + "1. automatically pick P and S arrivals in preprocessed waveform using SeisBench;\n", + "2. visually inspect the picks and apply quality control;\n", + "3. estimate waveform similarity and relative delay times using cross-correlation;\n", + "4. compare how processing choices affect pick quality, SNR, and delay-time measurements;\n", + "5. refine the dataset by keeping high-quality waveforms and discarding poor-quality ones.\n", + "\n", + "The goal is not only to produce a result, but to learn how cloud-based workflows make it easier to iterate: we can quickly test, compare, discard, and add waveforms without repeatedly rebuilding the workflow from scratch.\n", + "\n", + "**What you will accomplish**\n", + "By the end of Notebook 3, learners should be able to:\n", + "\n", + "1. Use a prepared station/event dataset from earlier notebooks to run a scientific workflow.\n", + "2. Apply SeisBench to automatically pick P and S arrivals.\n", + "3. Build a pick table that connects station metadata, waveform quality metrics, and arrival-time measurements.\n", + "4. Use waveform plots to visually QC automatic picks.\n", + "5. Use cross-correlation to estimate waveform similarity and relative delay times.\n", + "6. Compare how filtering and SNR thresholds affect the final scientific output.\n", + "7. Explain why cloud-based, metadata-driven workflows make iterative seismic analysis easier.\n", + "\n", + "**Required inputs from previous notebooks**\n", + "This notebook uses the following files created earlier:\n", + "\n", + "- `event_selection.json` — selected event origin time, location, and waveform window\n", + "- `station_dataframe.csv` — station/channel metadata and waveform availability\n", + "- `station_inventory.xml` — instrument metadata\n", + "- preprocessed waveforms or a processing recipe from Notebook 2\n", + "- optional: `waveform_qc_table.csv` from Notebook 2, if learners saved QC decisions" + ] + }, + { + "cell_type": "markdown", + "id": "2d8c9413", + "metadata": {}, + "source": [ + "## **1. Workflow execution**" + ] + }, + { + "cell_type": "markdown", + "id": "a6e4f750", + "metadata": {}, + "source": [ + "#### **1.1 Load saved metadata**" + ] + }, + { + "cell_type": "markdown", + "id": "24c0c2ce", + "metadata": {}, + "source": [ + "#### **1.2 Retrieve or load processed waveforms**" + ] + }, + { + "cell_type": "markdown", + "id": "c4944d4b", + "metadata": {}, + "source": [ + "#### **1.3 Automatic P and S arrival picking**" + ] + }, + { + "cell_type": "markdown", + "id": "0e2d30a8", + "metadata": {}, + "source": [ + "#### **1.4 Cross-correlate waveforms around P and S arrivals**" + ] + }, + { + "cell_type": "markdown", + "id": "2aa7bf2e", + "metadata": {}, + "source": [ + "The purpose of this section is to execute the main scientific analysis" + ] + }, + { + "cell_type": "markdown", + "id": "5f5c3475", + "metadata": {}, + "source": [ + "If several stations recorded the same earthquake, their waveforms may contain similar arrivals shifted in time because seismic waves reach each station at different times. Cross-correlation gives us a way to compare waveform similarity and estimate relative delay times." + ] + }, + { + "cell_type": "markdown", + "id": "f6d2ccff", + "metadata": {}, + "source": [ + "Plot: Waveform windows alligned on pick time" + ] + }, + { + "cell_type": "markdown", + "id": "19ecdac6", + "metadata": {}, + "source": [ + "Plot: Cross correlation function" + ] + }, + { + "cell_type": "markdown", + "id": "9f8bdda1", + "metadata": {}, + "source": [ + "Plot: Delay time vs station distance" + ] + }, + { + "cell_type": "markdown", + "id": "c04c5b18", + "metadata": {}, + "source": [ + "#### **1.5 Make a delay time plot**" + ] + }, + { + "cell_type": "markdown", + "id": "daef9f17", + "metadata": {}, + "source": [ + "The purpose of this section is to produce an interpretable scientific output" + ] + }, + { + "cell_type": "markdown", + "id": "c21fec74", + "metadata": {}, + "source": [ + "Plot the delay time of stations on a geographic map" + ] + }, + { + "cell_type": "markdown", + "id": "9f2e7c6d", + "metadata": {}, + "source": [ + "## **2. Output comparison**" + ] + }, + { + "cell_type": "markdown", + "id": "5b4c8ece", + "metadata": {}, + "source": [ + "#### **2.1 Modify processing parameters**" + ] + }, + { + "cell_type": "markdown", + "id": "ba0a7e6c", + "metadata": {}, + "source": [ + "Recipe A: default filter from Notebook 2\n", + "\n", + "Recipe B: narrower bandpass\n", + "\n", + "Recipe C: wider bandpass or different frequency band\n", + "\n", + "For each recipe, rerun:\n", + "filtering → picking → SNR → cross-correlation → delay-time plot" + ] + }, + { + "cell_type": "markdown", + "id": "b92645da", + "metadata": {}, + "source": [ + "#### **2.2 Compare results**" + ] + }, + { + "cell_type": "markdown", + "id": "0cae76e1", + "metadata": {}, + "source": [ + "Suggested comparison table:\n", + "\n", + "| Processing recipe | Stations kept | Median P SNR | Median P probability | Median correlation | Notes |\n", + "| :---------------: | :-----------: | :----------: | :------------------: | :----------------: | :---: |\n", + "| Default filter ||||||\n", + "| Narrower Bandpass ||||||\n", + "| Wider Bandpass ||||||" + ] + }, + { + "cell_type": "markdown", + "id": "049d4b54", + "metadata": {}, + "source": [ + "#### **2.3 Decide which waveforms are acceptable**" + ] + }, + { + "cell_type": "markdown", + "id": "5e4b307a", + "metadata": {}, + "source": [ + "Purpose: Formalize final QC and dataset refinement" + ] + }, + { + "cell_type": "markdown", + "id": "8eda0f7f", + "metadata": {}, + "source": [ + "## **Reflection**" + ] + }, + { + "cell_type": "markdown", + "id": "8f50864d", + "metadata": {}, + "source": [ + "In a local traditional workflow, changing the event, station list, time window, or filter band may require repeated downloads, repeated local file management, and repeated processing. That slows down the exploratory part of seismic science.\n", + "\n", + "In GeoLab, the workflow is easier to iterate. We can stream or retrieve selected waveform windows, apply a processing recipe, compare outputs, revise parameters, and update the station list in the same environment. This makes the scientific workflow more flexible: instead of committing too early to a fixed downloaded dataset, we can use metadata, waveform QC, and scientific outputs together to decide which data are useful." + ] + } + ], + "metadata": { + "language_info": { + "name": "python" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} From b96fbd8ef272d7c24c180b97ba7d33f6afeeea83 Mon Sep 17 00:00:00 2001 From: Asif Ashraf Date: Tue, 7 Jul 2026 14:24:08 -0700 Subject: [PATCH 10/15] NB3 section 3 update --- tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb | 528 ++++++++++++++++-- .../0_US.NLWA.20.HNZ_filtered.mseed | Bin 54272 -> 0 bytes 2 files changed, 480 insertions(+), 48 deletions(-) delete mode 100644 tutorials/MVP1-SAGE/filtered_waveform/0_US.NLWA.20.HNZ_filtered.mseed diff --git a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb index 40f4d05..ebcf3cc 100644 --- a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb +++ b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb @@ -403,7 +403,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 3, "id": "cd74ccb5", "metadata": {}, "outputs": [ @@ -411,7 +411,7 @@ "data": { "text/plain": [ "FDSN Webservice Client (base url: https://service.earthscope.org)\n", - "Available Services: 'dataselect' (v1.1.65), 'station' (v1.1.54)\n", + "Available Services: 'dataselect' (v1.1.65), 'station' (v1.1.55)\n", "\n", "Use e.g. client.help('dataselect') for the\n", "parameter description of the individual services\n", @@ -419,7 +419,7 @@ "all webservices." ] }, - "execution_count": 7, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -477,7 +477,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 4, "id": "e1961696", "metadata": {}, "outputs": [ @@ -776,7 +776,7 @@ "15 126.0 HNZ 200.0 True False " ] }, - "execution_count": 11, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -842,7 +842,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 5, "id": "f13d54e8", "metadata": {}, "outputs": [ @@ -919,7 +919,7 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 6, "id": "efd2e64b", "metadata": {}, "outputs": [ @@ -989,7 +989,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 7, "id": "0fe5e488", "metadata": {}, "outputs": [ @@ -1068,7 +1068,7 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 8, "id": "e3b0b7ea", "metadata": {}, "outputs": [ @@ -1078,7 +1078,7 @@ "Text(0.5, 1.0, 'Waveform After Instrument Response Removal')" ] }, - "execution_count": 18, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" }, @@ -1125,7 +1125,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 9, "id": "bb2b88cd", "metadata": {}, "outputs": [ @@ -1238,23 +1238,35 @@ "id": "d28e097b", "metadata": {}, "source": [ - "## **3. Visualization**" + "## **3. Visualization-guided processing decisions**" ] }, { "cell_type": "markdown", - "id": "0626857a", + "id": "bbef1529", "metadata": {}, "source": [ - "Below, we will apply the preprocessing recipe to every station in the station dataframe one-by-one to stage analysis ready formats. For that we go through all preprocessing steps in a single code block and changed processing parameters based on visualization. Then we store the filtered output. Since our default dataset is small (<20 waveforms), we are saving them in home directory." + "In this section, we will use waveform visualizations to choose processing parameters for each station.\n", + "\n", + "The goal is not to permanently save every processed waveform. Instead, we will save the **processing recipe** needed to reproduce the processed waveform later. This includes:\n", + "\n", + "- the trimming start time;\n", + "- the trimming end time;\n", + "- the minimum frequency for the bandpass filter;\n", + "- the maximum frequency for the bandpass filter;\n", + "- a simple QC decision for whether the waveform should be used later.\n", + "\n", + "This keeps the workflow lightweight. The waveform data can be retrieved again using the **processing recipe** that we save." ] }, { "cell_type": "markdown", - "id": "f080ce21", + "id": "77641e48", "metadata": {}, "source": [ - "> ✏️ In the code block below, go through every row of station dataframe, pick a time window around the event, set up frequency parameters for bandpass filtereing and then save filtered trace. You are encouraged to tune the time and frequency parameters based on the need of each waveform." + "> ✏️ In the code block below, choose one station from the station dataframe, retrieve its waveform, and test different trimming and filtering parameters. Use the waveform plot and spectrogram to decide whether the selected time window and frequency band are appropriate.\n", + ">\n", + "> After you are satisfied with the result, save the selected parameters back into the station dataframe. These parameters will be used in Notebook 3 to reproduce the processing before running the scientific workflow." ] }, { @@ -1263,18 +1275,9 @@ "id": "4556b670", "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/asifashraf/Documents/Fq_Decomp/codes_main/.conda/lib/python3.11/site-packages/obspy/io/mseed/core.py:773: UserWarning: The encoding specified in trace.stats.mseed.encoding does not match the dtype of the data.\n", - "A suitable encoding will be chosen.\n", - " warnings.warn(msg, UserWarning)\n" - ] - }, { "data": { - "image/png": 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", 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", 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" ] @@ -1288,11 +1291,12 @@ "# --- USER INPUTS ---\n", "# --------------------\n", "\n", - "row_number = 0 # You can change this to any row number you want to retrieve\n", - "time_pick1 = 80\n", - "time_pick2 = 110\n", + "row_number = 2 # You can change this to any row number you want to retrieve\n", + "time_pick1 = 127\n", + "time_pick2 = 150\n", "freqmin = 2.0\n", - "freqmax = 9.0\n", + "freqmax = 8.0\n", + "qc_test = True\n", "\n", "# -------------------------------------------------------------\n", "# 1. Retrieve waveform data and go through the processing steps\n", @@ -1306,11 +1310,9 @@ " st.merge(method=1, fill_value=\"None\") # Merge the traces in the stream \n", " #(change fill_value for gaps/overlaps)\n", "tr = st[0] # Get the trace from the stream\n", - "utc_times = [(tr.stats.starttime + i * tr.stats.delta).datetime for i in range(tr.stats.npts)]\n", "\n", "tr_trim = tr.copy() # Trim the trace to the specified time window\n", "tr_trim.trim(starttime=tr.stats.starttime+time_pick1, endtime=tr.stats.starttime+time_pick2)\n", - "utc_times_trim = [(tr_trim.stats.starttime + i * tr_trim.stats.delta).datetime for i in range(tr_trim.stats.npts)]\n", "\n", "tr_corrected = tr_trim.copy() # Apply instrument response\n", "tr_corrected.remove_response(inventory=st_inv, output=\"ACC\") # Specify output units\n", @@ -1336,24 +1338,26 @@ "plt.figure(figsize=(12, 8))\n", "\n", "plt.subplot(4,1,1)\n", - "plt.plot(utc_times, tr.data)\n", + "plt.plot(tr.times(), tr.data)\n", "plt.grid()\n", - "plt.xlabel(\"UTC Time\")\n", + "plt.axvline(x=time_pick1, color='red', linestyle='--', linewidth=1)\n", + "plt.axvline(x=time_pick2, color='red', linestyle='--', linewidth=1)\n", + "plt.xlabel(\"Time (s)\")\n", "plt.ylabel(\"Amplitude\")\n", "plt.title(f\"Complete Waveform for {tr.id}\")\n", "\n", "plt.subplot(4,1,2)\n", - "plt.plot(utc_times_trim, tr_corrected.data)\n", + "plt.plot(tr_trim.times(), tr_corrected.data)\n", "plt.grid()\n", - "plt.xlabel(\"UTC Time\")\n", + "plt.xlabel(\"Time(s)\")\n", "plt.ylabel(\"Acceleration (m/s^2)\")\n", "plt.title(f\"Waveform after trimming and removal of instrument response\")\n", "\n", "plt.subplot(4,1,3)\n", "plt.pcolormesh(t_spec, f, np.abs(Sxx), shading='gouraud')\n", - "plt.ylim(0, 15)\n", - "plt.axhline(y=freqmin, color='red', linestyle='--', linewidth=1)\n", - "plt.axhline(y=freqmax, color='red', linestyle='--', linewidth=1)\n", + "plt.ylim(0, 10)\n", + "plt.axhline(y=freqmin, color='yellow', linestyle='--', linewidth=1)\n", + "plt.axhline(y=freqmax, color='yellow', linestyle='--', linewidth=1)\n", "plt.xlabel(\"Time (s)\")\n", "plt.ylabel(\"Frequency (Hz)\")\n", "plt.title(\"Spectrogram of Trimmed Waveform\")\n", @@ -1367,15 +1371,443 @@ "\n", "plt.tight_layout()\n", "\n", - "# ---------------------------------------------------------\n", - "# 3. Storing the filtered waveform data in MiniSEED format\n", - "# ---------------------------------------------------------\n", - "import os\n", - "# Create the directory if it doesn't exist\n", - "if not os.path.exists(\"filtered_waveform\"):\n", - " os.makedirs(\"filtered_waveform\")\n", - "# saving in miniSEED format\n", - "tr_filt.write(f\"filtered_waveform/{row_number}_{tr.id}_filtered.mseed\", format=\"MSEED\") " + "# -------------------------------------------------\n", + "# 3. Update the DataFrame with the processed values\n", + "# -------------------------------------------------\n", + "st_df.loc[row_number, 'time_pick1'] = time_pick1\n", + "st_df.loc[row_number, 'time_pick2'] = time_pick2\n", + "st_df.loc[row_number, 'freqmin'] = freqmin\n", + "st_df.loc[row_number, 'freqmax'] = freqmax\n", + "st_df.loc[row_number, 'qc_test'] = qc_test" + ] + }, + { + "cell_type": "markdown", + "id": "f399b035", + "metadata": {}, + "source": [ + "> ✏️ Below, check the updated station dataframe. If any entry is filled with `NaN`, then the value is still to be entered. Be sure to fill up the station dataframe with preprocessing parameters before moving onto notebook 3." + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "60aa4f97", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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networkstationstart_datelatitudelongitudeelevationchannelsample_ratedata_availablegaps_detectedtime_pick1time_pick2freqminfreqmaxqc_test
0USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0TrueFalse80.0105.02.09.0True
1UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0TrueFalse127.0145.02.09.0True
2UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0TrueFalse127.0150.02.08.0True
3UWERW1997-12-01T00:00:00.000000Z48.453827-122.626121387.0HNZ200.0TrueFalse130.0180.01.07.0True
4UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0TrueFalseNaNNaNNaNNaNNaN
5UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0TrueFalseNaNNaNNaNNaNNaN
6UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0TrueFalseNaNNaNNaNNaNNaN
7UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0TrueFalseNaNNaNNaNNaNNaN
8UWQCDG2011-11-16T00:00:00.000000Z48.100020-122.58696052.2HNZ200.0TrueFalseNaNNaNNaNNaNNaN
9UWQCEN2012-06-14T00:00:00.000000Z46.716350-122.96190055.4HNZ200.0TrueFalseNaNNaNNaNNaNNaN
10UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0TrueFalseNaNNaNNaNNaNNaN
11UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0TrueFalseNaNNaNNaNNaNNaN
12UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0TrueFalseNaNNaNNaNNaNNaN
13UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0TrueFalseNaNNaNNaNNaNNaN
14UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0TrueFalseNaNNaNNaNNaNNaN
15UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0TrueFalseNaNNaNNaNNaNNaN
\n", + "
" + ], + "text/plain": [ + " network station start_date latitude longitude \\\n", + "0 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", + "1 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", + "2 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", + "3 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", + "4 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", + "5 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", + "6 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", + "7 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", + "8 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", + "9 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", + "10 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", + "11 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", + "12 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", + "13 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", + "14 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", + "15 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", + "\n", + " elevation channel sample_rate data_available gaps_detected time_pick1 \\\n", + "0 640.0 HNZ 200.0 True False 80.0 \n", + "1 62.0 HNZ 200.0 True False 127.0 \n", + "2 601.0 HNZ 200.0 True False 127.0 \n", + "3 387.0 HNZ 200.0 True False 130.0 \n", + "4 1605.0 HNZ 200.0 True False NaN \n", + "5 60.4 HNZ 200.0 True False NaN \n", + "6 112.5 HNZ 200.0 True False NaN \n", + "7 741.0 HNZ 200.0 True False NaN \n", + "8 52.2 HNZ 200.0 True False NaN \n", + "9 55.4 HNZ 200.0 True False NaN \n", + "10 90.2 HNZ 200.0 True False NaN \n", + "11 56.4 HNZ 200.0 True False NaN \n", + "12 53.3 HNZ 200.0 True False NaN \n", + "13 116.9 HNZ 200.0 True False NaN \n", + "14 78.8 HNZ 200.0 True False NaN \n", + "15 126.0 HNZ 200.0 True False NaN \n", + "\n", + " time_pick2 freqmin freqmax qc_test \n", + "0 105.0 2.0 9.0 True \n", + "1 145.0 2.0 9.0 True \n", + "2 150.0 2.0 8.0 True \n", + "3 180.0 1.0 7.0 True \n", + "4 NaN NaN NaN NaN \n", + "5 NaN NaN NaN NaN \n", + "6 NaN NaN NaN NaN \n", + "7 NaN NaN NaN NaN \n", + "8 NaN NaN NaN NaN \n", + "9 NaN NaN NaN NaN \n", + "10 NaN NaN NaN NaN \n", + "11 NaN NaN NaN NaN \n", + "12 NaN NaN NaN NaN \n", + "13 NaN NaN NaN NaN \n", + "14 NaN NaN NaN NaN \n", + "15 NaN NaN NaN NaN " + ] + }, + "execution_count": 73, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "st_df" + ] + }, + { + "cell_type": "markdown", + "id": "c8c6c751", + "metadata": {}, + "source": [ + "Finally save the station dataframe with all the processing parameters" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "c617750b", + "metadata": {}, + "outputs": [], + "source": [ + "# Save the station dataframe to a CSV file\n", + "st_df.to_csv(\"station_dataframe.csv\", index=False)" ] }, { diff --git 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zD6K7Mjf>ppQ{?Yx)ln&yYnOS^iW|qr$g6!Q{PvTzL1_T}Y-j%G;TjkEDcntYjruWK zYGqOq92bt3cW+mbs*a+c&Ila;y{m?nSq@q_ zK2+0t9aW72z67teEiD$|9Fp@Y2^h_6$k;f(~njCChNW_e!e3_&qau>fI zmS{ANT=S=ille+QF6;|4Dp4{)tffMjlGGOw{coj|0sd%2@(o3B>Lm%G(Y=-Nf%eV5 ePExt>`v>d$?p+YS=5o0M`=9>*um2A|f&T}WHrM3< From 90bfbcc6d466ec271ed31a6226e0ddfeb95f5910 Mon Sep 17 00:00:00 2001 From: Asif Ashraf Date: Wed, 8 Jul 2026 15:10:29 -0700 Subject: [PATCH 11/15] NB2 vis&processing update --- tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb | 412 +++++++++++------- tutorials/MVP1-SAGE/event_catalog.xml | 2 +- .../MVP1-SAGE/station_dataframe_processed.csv | 17 + tutorials/MVP1-SAGE/station_inventory.xml | 130 +++--- 4 files changed, 340 insertions(+), 221 deletions(-) create mode 100644 tutorials/MVP1-SAGE/station_dataframe_processed.csv diff --git a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb index ebcf3cc..6e652ce 100644 --- a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb +++ b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb @@ -95,7 +95,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "b4440452", "metadata": {}, "outputs": [ @@ -366,7 +366,7 @@ "15 126.0 HNZ 200.0 True " ] }, - "execution_count": 2, + "execution_count": 1, "metadata": {}, "output_type": "execute_result" } @@ -403,7 +403,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "id": "cd74ccb5", "metadata": {}, "outputs": [ @@ -411,7 +411,7 @@ "data": { "text/plain": [ "FDSN Webservice Client (base url: https://service.earthscope.org)\n", - "Available Services: 'dataselect' (v1.1.65), 'station' (v1.1.55)\n", + "Available Services: 'dataselect' (v1.1.65), 'station' (v1.1.56)\n", "\n", "Use e.g. client.help('dataselect') for the\n", "parameter description of the individual services\n", @@ -419,7 +419,7 @@ "all webservices." ] }, - "execution_count": 3, + "execution_count": 2, "metadata": {}, "output_type": "execute_result" } @@ -477,7 +477,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": null, "id": "e1961696", "metadata": {}, "outputs": [ @@ -776,7 +776,7 @@ "15 126.0 HNZ 200.0 True False " ] }, - "execution_count": 4, + "execution_count": 3, "metadata": {}, "output_type": "execute_result" } @@ -824,7 +824,7 @@ " if not gaps:\n", " gaps_info.append(False) # Append False to the gaps list if no gaps are detected\n", " else:\n", - " gaps_info.append(True) # Append True to the gaps list if gaps are detected\n", + " gaps_info.append(True) # Append True to the gaps list if gaps are detected\n", " for gap in gaps:\n", " print(gap)\n", "\n", @@ -842,7 +842,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "id": "f13d54e8", "metadata": {}, "outputs": [ @@ -1259,9 +1259,55 @@ "This keeps the workflow lightweight. The waveform data can be retrieved again using the **processing recipe** that we save." ] }, + { + "cell_type": "code", + "execution_count": 11, + "id": "8e905bd0", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "# Function to process waveform data for a specific station in the DataFrame\n", + "def process_waveform(row_number, time_pick1, time_pick2, freqmin, freqmax):\n", + " # -------------------------------------------------------------\n", + " # 1. Retrieve waveform data and go through the processing steps\n", + " # -------------------------------------------------------------\n", + " st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", + " station=st_df.iloc[row_number].station, location=\"*\", \n", + " channel='HNZ', starttime=t1, endtime=t2)\n", + "\n", + " if len(st)>1: # Check if there are multiple traces in the stream\n", + " st.sort() # Sort the traces in the stream by start time\n", + " st.merge(method=1, fill_value=\"None\") # Merge the traces in the stream \n", + " #(change fill_value for gaps/overlaps)\n", + " tr = st[0] # Get the trace from the stream\n", + "\n", + " tr_trim = tr.copy() # Trim the trace to the specified time window\n", + " tr_trim.trim(starttime=tr.stats.starttime+time_pick1, endtime=tr.stats.starttime+time_pick2)\n", + "\n", + " tr_corrected = tr_trim.copy() # Apply instrument response\n", + " tr_corrected.remove_response(inventory=st_inv, output=\"ACC\") # Specify output units\n", + "\n", + " fs = tr_corrected.stats.sampling_rate # Apply bandpass filter to the corrected trace\n", + " nperseg = 700\n", + " noverlap = nperseg - 10\n", + " f, t_spec, Sxx = signal.spectrogram(tr_corrected.data, fs=fs, nperseg=nperseg, noverlap=noverlap)\n", + " t_spec = np.linspace(0, tr_corrected.times()[-1], Sxx.shape[1])\n", + " tr_filt = tr_corrected.copy()\n", + " tr_filt.detrend(\"demean\") # remove DC offset\n", + " tr_filt.detrend(\"linear\") # remove linear trend\n", + " tr_filt.taper(max_percentage=0.05, type=\"hann\") # taper the ends to zero\n", + " tr_filt.filter(\"bandpass\",\n", + " freqmin=freqmin,\n", + " freqmax=freqmax,\n", + " corners=4,\n", + " zerophase=True)\n", + " return tr, tr_trim, tr_corrected, tr_filt, t_spec, f, Sxx" + ] + }, { "cell_type": "markdown", - "id": "77641e48", + "id": "56906e0b", "metadata": {}, "source": [ "> ✏️ In the code block below, choose one station from the station dataframe, retrieve its waveform, and test different trimming and filtering parameters. Use the waveform plot and spectrogram to decide whether the selected time window and frequency band are appropriate.\n", @@ -1271,13 +1317,13 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 70, "id": "4556b670", "metadata": {}, "outputs": [ { "data": { - "image/png": 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0QXR0tNhTSktLC+7u7jh//jycnZ2Rlpb2UYOcA0CLFi0AAH///fcnJaWcnJzQq1evPCWCCsMvv/yCzZs34/fff4e/v7/KOqmpqejWrRvS0tKwfft2tbdnIiIq+ZiUIiIi0pB27dph1apVCAoKUri0SpWKFStCLpfjyZMnqFatmlj++vVrxMTEiHdDUxe5XI5nz56JvaMA4PHjxwCgcKe1rKysrGBqagqZTKbQm0SV7JJrzs7OADKSdrktIzv16tUTE0/6+vrw8PAQ16ejo4MGDRrgwoULCA0NhbW1tbiNd+7cwePHj7Fx40aFS5ACAwNVrqdbt274/vvv8ejRI+zYsQNGRkYKSYlP3ZbM1/TRo0dK0x4+fIgyZcoo9JLSNCsrKxgZGWUbr5aWllLPrLzKaV9kln94DGhra6NRo0a4cOECzp8/DzMzM9SsWVOc7unpiR07doi9Dz82KZWeng4ASEhI+Kj5s5owYQK2bNmikNzUFGdnZ/Tq1QsrV64UL+v80JgxY3Djxg0sXLgQdevWLeQIiYioJOCYUkRERBry448/wtjYGAMGDMDr16+VpoeEhIiX8bRp0wYAxLucZZo3bx4AoG3btmqPb8mSJeL/giBgyZIl0NXVFXuGfEhbWxudO3fG//73P5U9wN68eSP+n5lMiYmJUajj5uYGZ2dn/PHHHyq/5GddRnZ0dHTg7u6OCxcuKIwjlMnT0xN///03goODxcv6MuPP3NZMgiBkeylV586doa2tjT///BO7du1Cu3btFJJEn7otdnZ2qFOnDjZu3Kiwn+7evYvjx4+LbaKo0NbWhq+vL/766y+FSzxfv36Nbdu2wcvLS7y0Mb8y98WWLVuU2sy1a9cQHByM1q1bK83n5eWFN2/eYP369XB3d4eW1n8ffT09PfHo0SP89ddfKF26tJjslUqlePjwYZ7Hdjpw4ACAjJ5ZnyprIigyMlJp+osXL/Dw4UOFsrdv3+Lhw4dISkr65PV/aMKECZBKpZg9e7bStL1792LJkiXo0KEDhg8frvZ1ExHR54E9pYiIiDTE2dkZ27ZtQ7du3VCtWjX06dMHNWrUQFpaGi5evIhdu3YhICAAQMYX3r59+2LVqlWIiYmBt7c3Ll++jI0bN8Lf3x9ffPGFWmMzMDDA0aNH0bdvX7i7u+PIkSM4dOgQfv75Z1hZWWU736xZs3D69Gm4u7vj22+/RfXq1REdHY3r16/jxIkTiI6OFrfdwsICK1asgKmpKYyNjeHu7g5HR0esWbMGrVu3hqurK/r164eyZcsiPDwcp0+fhpmZmZgEyImXlxdOnz4NAAqJJyAjGTFz5kyxXqaqVavC2dkZY8aMQXh4OMzMzPC///0v2/GVrK2t8cUXX2DevHmIj49XGpNIS0vrk7dlzpw5aN26NTw8PNC/f38kJydj8eLFMDc3x+TJk3PdD4Vt+vTpCAwMhJeXF77//nvo6Ohg5cqVSE1NVZnYyI958+bBz88PderUQUBAAOzt7fHgwQOsWrUKdnZ2GD9+vNI8ma9vUFCQ0v5q1KgRJBIJgoOD0b59e7E3XXh4OKpVq4a+fftiw4YNCvM8fvwYW7ZsAZBxyWBwcDA2btyISpUqoXfv3gp1pVKpOIZVVqVKlcL333+f7XZmXjb36NEjhfG3AKBPnz44e/asQuJ0yZIlmDJlCk6fPo1mzZplu9yPkZkk27hxo0L5q1ev0L9/f2hra6NFixbiPlE1f269QImI6PPGpBQREZEGdejQAbdv38acOXPw119/Yfny5dDX10etWrUwd+5cfPvtt2LdNWvWwMnJCRs2bMDevXtha2uL8ePHY9KkSWqPS1tbG0ePHsXgwYMxduxYmJqaYtKkSZg4cWKO89nY2ODy5cuYOnUq9uzZg2XLlqF06dJwdXVVuCRJV1cXGzduxPjx4/Hdd98hPT0d69evh6OjI5o1a4agoCBMmzYNS5YsQUJCAmxtbeHu7o5BgwblKf7MZETm5XpZeXp6QiKRQBAEhaSUrq4uDhw4gOHDh2PmzJkwMDBAp06dMHTo0Gx7wXTr1g0nTpyAqampyp5Ln7otPj4+OHr0qLjvdXV14e3tjd9//71ABwn/WK6urjh37hzGjx+PmTNnQi6Xw93dHVu2bMn2ErC8+uKLL3Du3DlMnz4dixYtQnx8PGxsbNCzZ09MnjwZ1tbWSvM0atQIOjo6SE9PV+oxZ2Zmhho1auD27dt5vnQv8+51QMYxYmdnhwEDBmDatGlKl1KmpaXh119/VVqGs7NzjkmpSpUqqUwEaUrmJYUymUwse/TokZis/eGHH7Kdt2/fvkxKERFRjiRCYY1kSURERMVCQEAAdu/erZYxcoiIiIiIssMxpYiIiIiIiIiIqNAxKUVERERERERERIWOSSkiIiIiIiIiIip0HFOKiIiIiIiIiIgKHXtKERERERERERFRoWNSioiIiIiIiIiICp2OpgP4XMnlckRERMDU1BQSiUTT4RARERERERERqYUgCIiPj4e9vT20tLLvD8WklIZERESgfPnymg6DiIiIiIiIiKhAvHz5EuXKlct2OpNSGmJqagog4wUyMzPTcDQfRyqV4vjx4/D19YWurq6mwyEqfm3y5k3A2xs4exaoU0fT0fynqMZVzBS79kglGtsjFTVsk1SUsD1SUVMS2mRcXBzKly8v5j6yw6SUhmResmdmZlask1JGRkYwMzMrtgcKlSzFrk2amPz3WJTOA0U1rmKm2LVHKtHYHqmoYZukooTtkYqaktQmcxuuiAOdExERERERERFRoWNSioiohAh9m4hj9yI1HQYREREREVGeMClFRFRCfPHHGQzafA1nH7/RdChERERERES5YlKKiEhTatYEoqIyHtXo1suYT1tAAcVFRERERESUFQc6JyLSFF1dwMpK7YsVhE9cQAHFRURERERElBV7ShERaUpICNChQ8ZjUVJU4yIiIiIiohKFSSkiIk2JjQUOHMh4VKNc7rqauwKKi4iIiIiIKCsmpYiIiIiIiIiIqNAxKUVERERERERERIWOSSkiohLmkwc6JyIiIiIiKgRMShERaUrZssDcuRmPRUlRjYuIiIiIiEoUHU0HQET02bKxAUaN0nQUyopqXEREREREVKKwpxQRkaa8fw/s2pXxWJQU1biIiIiIiKhEYVKKiEhTQkOBrl0zHouSohoXERERERGVKExKERERERERERFRoWNSioiIiIiIiIiICh2TUkREREREREREVOiYlCIi0hRDQ6Bu3YzHoqSoxkVERERERCWKjqYDICL6bFWrBly/rukolBXVuIiIiIiIqERhTykiIiIiIiIiIip0TEoREWnKjRuAvn7GY1FSVOMiIiIiIqIShUkpIiJNEQQgLS3jsSgpqnEREREREVGJ8lFJqZiYGKxZswbjx49HdHQ0AOD69esIDw9Xa3BERERERERERFQy5Xug89u3b8PHxwfm5uZ4/vw5vv32W5QqVQp79uzBixcvsGnTpoKIk4iIiIiIiIiISpB895QaNWoUAgIC8OTJExgYGIjlbdq0wd9//63W4IiIiIiIiIiIqGTKd0+pK1euYOXKlUrlZcuWRWRkpFqCIiL6LFSrBty9Czg5qXWxAj5xLKgCiouIiIiIiCirfCel9PX1ERcXp1T++PFjWFlZqSUoIqLPgqEh4Oqq6SiUFdW4iIiIiIioRMn35XsdOnTA1KlTIZVKAQASiQQvXrzATz/9hM6dO6s9QCKiEissDBgwIOOxKCmqcRERERERUYmS76TU3LlzkZCQAGtrayQnJ8Pb2xuVKlWCqakpfvvtt4KIkYioZHr3Dli7NuPxEyWlpashoH+pMS4iIiIiIqLs5PvyPXNzcwQGBuL8+fO4ffs2EhISUK9ePfj4+BREfERElAcrzz7TdAhERERERET5ku+kVCYvLy94eXmpMxYiIvpIETHJmg6BiIiIiIgoX/KUlFq0aFGeFzh8+PCPDoaIiIiIiIiIiD4PeUpKzZ8/X+H5mzdvkJSUBAsLCwBATEwMjIyMYG1tzaQUEVFe2dgA48ZlPBYlRTUuIiIiIiIqUfI00HloaKj499tvv6FOnTp48OABoqOjER0djQcPHqBevXqYNm1aQcdLRFRylC0LzJyZ8ViUFNW4iIiIiIioRMn33fd+/fVXLF68GFWqVBHLqlSpgvnz52PChAlqDY6IqESLjwfOnMl4LEqKalxERERERFSi5Dsp9erVK6SnK996XCaT4fXr12oJiojos/DkCfDFFxmPWVx69g4T/7qLhFTlc212hEKIi4iIiIiISJ3ynZRq0aIFBg0ahOvXr4tl165dw+DBg+Hj46PW4IiIPkfdVgVjU1AYFgQ+1nQoREREREREBSbfSal169bB1tYW9evXh76+PvT19dGwYUPY2NhgzZo1BREjEdFnKfRt4kfNJ6i12xQREREREVHByNPd97KysrLC4cOH8fjxYzx8+BAAULVqVVSuXFntwRERfc6ik9IgkwvQ1pLkaz5J/qoTERERERFpRL6TUpkqV67MRBQR0afQ1c24w52ursrJN17EwPnnw3g+q22+Frv09FOM8PmE83MucREREREREalDvpNS33zzTY7T161b99HBEBF9VmrWBP75J9dq55+8Rc1y5jAz0IEkD92gpDIBgiDkqe6nxEVERERERPQp8p2Uev/+vcJzqVSKu3fvIiYmBs2bN1dbYERElOF/1/9Br7WX4FvdBqv61FeaLggCdl9TTCKlywXoavM6PiIiIiIiKrrynZTau3evUplcLsfgwYPh7OyslqCIiD4Ld+4ArVsDR45k9E7Kxt4b4QCA4/dfq5x+4kGURuIiIiIiIiL6FPm++57KhWhpYdSoUZg/f746FkdE9HmQSoHw8IzHT/D4dbxS2SfdgU9NcREREREREeVELUkpAAgJCUF6erq6FkdERCqsOfdMqUxQkYES8ClZKSIiIiIiooKX78v3Ro0apfBcEAS8evUKhw4dQt++fdUWGBERKZt+6AEGNHFSKFPVK+ptQhrKWhgWUlRERERERET5l++k1I0bNxSea2lpwcrKCnPnzs31znxERPTp/n78Bi42JrAzz0g6xaUoX2bXeNYpnBrtDScrk8IOj4iIiIiIKE/yffne6dOnFf5OnjyJ7du3Y+DAgdDRyXeOK89+++03eHp6wsjICBYWFirrXLlyBS1atICFhQUsLS3h5+eHW7duKdS5ffs2mjRpAgMDA5QvXx6zZ89WWs6uXbtQtWpVGBgYoGbNmjh8+LDCdEEQMHHiRNjZ2cHQ0BA+Pj548uSJ2raViD4TLi7A6dMZj/nQZ91leMw8BQCQyQUcvP1KZb3mc88WalxERERERET5ke+kVPPmzRETE6NUHhcXh+bNm6sjJpXS0tLQpUsXDB48WOX0hIQEtGrVChUqVMClS5dw/vx5mJqaws/PD9J/B+uNi4uDr68vKlasiGvXrmHOnDmYPHkyVq1aJS7n4sWL6NGjB/r3748bN27A398f/v7+uHv3rlhn9uzZWLRoEVasWIFLly7B2NgYfn5+SElJKbDtJ6ISyNQUaNYs4/Ffcnnex4KKTZZi0OareBWb/bknRSpTS1xERERERETqlu+k1JkzZ5CWlqZUnpKSgnPnzqklKFWmTJmCkSNHomY2tyd/+PAhoqOjMXXqVFSpUgWurq6YNGkSXr9+jbCwMADA1q1bkZaWhnXr1sHV1RXdu3fH8OHDMW/ePHE5CxcuRKtWrTB27FhUq1YN06ZNQ7169bBkyRIAGb2kFixYgAkTJqBjx46oVasWNm3ahIiICOzbt6/Atp+ISqDwcGD8+IzHf+25EZ7DDIrqTw/EiQdRhRIXERERERGRuuU5KXX79m3cvn0bAHD//n3x+e3bt3Hjxg2sXbsWZcuWLbBAc1OlShWULl0aa9euRVpaGpKTk7F27VpUq1YNDg4OAICgoCA0bdoUenp64nx+fn549OgR3r9/L9bx8fFRWLafnx+CgoIAAKGhoYiMjFSoY25uDnd3d7EOEVGevH4NzJqV8fiv8PfJeZ5dKsu9V5W2lgSCICAiJu/LVRUXERERERGRuuV5EKg6depAIpFAIpGovEzP0NAQixcvVmtw+WFqaoozZ87A398f06ZNAwC4uLjg2LFj4lhXkZGRcHR0VJjPxsZGnGZpaYnIyEixLGudyMhIsV7W+VTVUSU1NRWpqani87i4OACAVCoVLy8sbjLjLq7xU8lT7Npkejp0AUjT04HMmAW5Wldx6FY4gp5FY8fVf/D7l674sm4efjxQFRflW7Frj1SisT1SUcM2SUUJ2yMVNSWhTeY19jwnpUJDQyEIApycnHD58mVYWVmJ0/T09GBtbQ1tbe18BTlu3Dj8/vvvOdZ58OABqlatmuuykpOT0b9/fzRu3Bh//vknZDIZ/vjjD7Rt2xZXrlyBoaFmb40+c+ZMTJkyRan8+PHjMDIy0kBE6hMYGKjpEIgUFJc2aR4SgmYALpw/j9hXGYOVPwmXAMjfuTQnI3beFv+fefAuDF7dyqF29nHRxysu7ZE+D2yPVNSwTVJRwvZIRU1xbpNJSUl5qpfnpFTFihUBAHK5+n7FHz16NAICAnKs4+TklKdlbdu2Dc+fP0dQUBC0tLTEMktLS/z111/o3r07bG1t8fqDy1Eyn9va2oqPqupknZ5ZZmdnp1CnTp062cY3fvx4jBo1SnweFxeH8uXLw9fXF2ZmZnnaxqJGKpUiMDAQLVu2hK6urqbDISp+bfLGDQBAYy8voG5dAMDLv0Nx8EXB3M3TwMAAbdp4K5TFp6TjbkQsGjqUgraWRCku4d9espR/xa49UonG9khFDdskFSVsj1TUlIQ2mXl1WG7ylJTav38/WrduDV1dXezfvz/Huh06dMjTigHAyspKocfVp0hKSoKWlpbCl6fM55mJNA8PD/zyyy+QSqXiCxsYGIgqVarA0tJSrHPy5EmMGDFCXE5gYCA8PDwAAI6OjrC1tcXJkyfFJFRcXBwuXbqU7Z0BAUBfXx/6+vpK5bq6usW2kWUqCdtAJUuxaZM2NkD//tC1sQH+jXfvzYgCW11kXCpeJ0hRztIIoW8TIZXJMXb3bdx6GYMJbauhZXUbGOnpwMSyNBDQD5ufJGHZ8b/x19DGKGuh2d6mxVmxaY/0WWB7pKKGbZKKErZHKmqKc5vMa9x5Skr5+/sjMjIS1tbW8Pf3z7aeRCKBTPYRtx/PgxcvXiA6OhovXryATCbDzZs3AQCVKlWCiYkJWrZsibFjx2LIkCEYNmwY5HI5Zs2aBR0dHXzxxRcAgJ49e2LKlCno378/fvrpJ9y9excLFy7E/PnzxfX88MMP8Pb2xty5c9G2bVts374dV69exapVq8RtHDFiBKZPnw4XFxc4Ojri119/hb29fY77hohIScWKwJo1CkUhbxILdJVev59WWT790ANMP/TgvwKbzsCdjFjmBz7GH11qF2hcRERERET0+cnT3ffkcjmsra3F/7P7K6iEFABMnDgRdevWxaRJk5CQkIC6deuibt26uHr1KgCgatWqOHDgAG7fvg0PDw80adIEEREROHr0qHiZnbm5OY4fP47Q0FC4ublh9OjRmDhxIgYOHCiux9PTE9u2bcOqVatQu3Zt7N69G/v27UONGjXEOj/++COGDRuGgQMHokGDBkhISMDRo0dhYGBQYNtf3ETFpSA2WfXAZjFJaTh+LxJRcSm4FhaN94lp2S5n/J47+OPYowKJURByv3NZukyOtHTVl6xmzp8ileVpWZnL238rAvOOP0JQyLtc47scGg2HcYdw6Zli3dR0GYKfvYNUJkdMUhpik1Tv65fRSXgZnYSYpOz3cabwmOQ8bYcgCLgXEYujdyMRnZgGQRAQnc1reOxeJOpNC0THJefxMjpv1xTnhUwu5BirTP7fa7P+QiiCn72D/N8yQRBw559Y/Lj7Fp6/TRTLVC0v9G0ilpx6gt8O3c/za5yX2C89e4fkNBmEpCTI7twFkvNxZ7xCoC9NhcubMOhLM27OsPvaP0iRynDleTTC3iWK+/DC07dISE0X9zcAJKf99z4QFZ+CV7EZ2yYIAhrPOgWHcYew6u8QxKXkPvBhbJIUaelyRMQk4+/Hb8TXEABexSbjfkQcBEHA/Yg4hLxJQIpU+T1IEIRc28unyOn4vxMei/epwJOoBNScdCzHY+Di07e49TJGYV+qU3yKNKPN/Xu8CoKAZ28ScOrha4S9yz4R+io2GcfvReLSs3dqjy2vr8nd8FiM+99tLD39VO2v49OohGzPnwVJKpNDKst5OISs57E/L7/ArqsvlaYLgoDE1HTMOPwAJx+8zvb96mlUAgRBQLoceBgZr9b9mLVd5NRGpDI5ft13F2cfv1HbuvNDKpPjzj+x2Bwclu3nE0EQ8DouBf+8V32sXnr2DhsvPlc5Leu5L7/y+npExqZg8JZr2Hjxebbvux/rTXwqnr9NRGp6xnbk9FrK5AJ2Xn2JwPvqvUPrP++TkJ7NcZF1H0XFp2BzcBjiP3gfyTzfy+UC0tLzdoztuf4PwvNxd9q8tvfI2BSV02VyARsvPkdETDJS02W4Gx6LN/GpKpbw8TL3Q07TBUHAtbBo/Hn5Ba6FRee4vLy27cz3lxRpxnY9jUrIc6yq4n0Tn4rE1HQAyLZOpk99f/rwGMz87JGb2GQpXsUmY/rB+3AYdwhPo+I/KY4PY1L1uUZVvbR0OZ5GJSh9X1BHDHndt5/6GsjkQr7Oo3J5xmfRdJkcbxNS8TI6Kcdz6YNXcYhJSsu2Tk5t8WPkdVveJ6Zh1pGHaDr7NM48ikJkbIpa1l/cSISC+qROOYqLi4O5uTliY2OL7ZhS9/95j5UHzqF7y0boseZKrvVLGevl+CHq+2bOWHYmJMdlVLExxSjfyqhbwQJv4lNx+59YdG9QHhKJBNGJaZi8/x7sLAyw93o4orK8yfdoWAHlSxnizKM3iIpLwfN32X859K1ug+MqPmidGNUUlaxN8cexR1hy+qnS9DY1bTG5vSuevU2ErrYE9SpY4ti9SGy4+BzBz1S/4ftWt0FsshR9PR1wPyIOfT0dsPPqS8xRkYj7yq0cfm1bHcvPhmDFWdX76eAwL6w+9wx/qbgEzKeaNb5uVBH1K1riyN1IHLsbiZW93SAAGLT5Gk49jAIANHQsBT9XW0w7eB9d3MrB0lgPpYz1MOvIw2z3WaYKpYwwyNsJv+y9q3L681ltAWS88aSly/EmPhVN5/zXc2dy++oIaOwIQRAQkySFhVFGl0+JRIKdV1/ix923lZY5uJkz3iWkYufVf3KNLzcretVDnfKWuBb2HkO2XVeafmeyL+JS0tF41ikAQPD4Fnj+LhFOVsbYEvwChrra+P2o8n7q3agivv/CGXuuhyu8tq6RT3Fo4wi07bsAtTs2h562FjZk84WnMGWN655tpY9aRhkTPbxNyNuXpoXd66BjnbKYsO8OtgS/yLZe7fIWMNHXxoWn2X/oujiuOTz/fX0+9GXdspjU3hVP3yQgXSaHW0VL6GhrIeRNAlrMPQsAGNWyMuYFPkaFUkbYP7QxjtyNxPg9d7CilxuaV7WG56yTKrcreHwLrDgbgrhkKe5FxCElXYYwFeeZ0S0rY1gLF8QmS7Hn+j8w1tPBhH13kZbly9PdKX4w0deBTC4gNV0GI72MTs0yuYDHr+PReuE5hWVOaFsNDqWNkS4X8N2WawAAD6fSCPrID6fNq1pjXUADDNp8FcfuKZ8L29Wyw8Hbr2BrZoBJ7avj2dtEWBrpwd2pFMwMdLE5OAyLTj6BYxlj+LnaIijkLcwMdbGxX0M8e5uIB6/iMOzPG0rLrVvBAl3rl4etuQH6rc94T6lsY4LHrxW/2MzrWhtNXKwQmyyFtZk+jPV0cCc8FhdD3qKxcxk4W5vg1ssYnHoYhXoVLNG8qjX23ghHYmo6fF1tYGNmgMTUdLhNPyEus3Gl0grtalVvN/yw/SaS//1CsPGbhui77jIAoHuD8pjVuRYuPH2Lr9dcEueZ0akmbrx4jzcJqVjUoy5M9XUQEZuCgZuu4l7Ef2MqfHhszOtaGw5ljGFvbggrU328TUhF64Xnsn2/HN68Evxq2KLtovPZv4j/xpwqlWHg5msqp2/u3xBNXP4bQkEQBKSmy6ElkaDd4nOoU94CdcpbYsXZEDiUMYYgCDj35C2AjPfUsHeJuJjlx5UKpYzw4t/Eq4GuFo6NaArvOWeyjS/z/QDISED/fuwhtl3KOP5tzQwwq3NNuNiYZnvpcFyKFHuu/YPJB+4DAJb2rAd3p1J48CoOMrmAxFQZvqhqhYB1V/BL22rouPSCwvwHh3nhYWQ8xuzKuPnDpPbVMeXfZQGATzUbOFsZ48t65SBAwLBtN/Aky5fsX9pUg56OFibtvyeWfVHFCit714eutgSp6XLoamvhyN1XGLrtBsb4VsbZx29w5fl7AMAPLVyQJpNjeZbPPT+1qorfjz7Eb51qoGIpY6w5/wwtqtmgU92yWHPuGRacUB5vMMDTAZM7uKrcRxP/uotNQWEAgCYuZcTX79oEH5Qy1kNquhwHbkWgZjlztFpwTuUygse3gL6OFtaeD0VYdBIGNXVCu8WKba9ldRv85l8DVqb6kEgk2Bz0HL/+dQ9lTPTQ1MUKejpa8HAujQ617RGbLMXKv59h+ZkQzOrkCr2IW3Cq5wX/5cEq19+jYQV0qV8OXy67qHL6d97O0NPRwqKT2Y/FOMLHBQOaOMFEXwfbLr3Az3vvKNXZ9q076lWwxB/HHuH5uyTUrWCBIV9UwvvENMQmS3Et7D1G71K+Ucjm/g3h6VwG75PSUD/LOSW/KpY2wv4hXjDW18aj1/FwtTdHWrocAzdfRRe38mjkVAp6OlrQ1dbC1IP3Mby5CxrNPAkAmO5fA70aZYz9O/PIA6w8+wwA8EeX2mL7BjI+B554EKVy/Ut71kPbWnYQBAGbgsLwIjoJ7xPTsOdGuFjn0HAvVLExRUyyFGYGutDWkuDWPxk/pjx5naByv/Z0r4AZnWoiRSqDrrYWElLSoa+rhaq/HlUZx5VffHDq4Wv89D/lZQEZ5+pZX9ZCk9nKvb4tjXSxfaAH3iWmQk9bC4fuvMJXbuXgam8OAHAYdwhAxmeyzcFh4nzlLA3xz/tkNHYujbsv3yI2LftxNM/9+AXKlzLCu4RUhfeQD7fBylRxyJanUQm4FxGL8JhkVLczQyOn0tDV1sL+W+Hwc7UV3+cTUtMxeMs1VChlhK2X/vs8dGeyL269jMWGi6E48SAKS3rWxdBtyu+jANDfyxFj/aogIiYZzf/9bNPHoyJ2XHmJ1HQ5OtUti7ldakNLSwK5XMCL6CT88z4ZQ7Zdx3fezuhcryyuv4jBvMBH4vtv1vM7AKzv1wBBIe+w6u+MttbAwVI8t431q4KOdezx5+UXWHpa+fvK1Qk+MNHXwdZLLzDt4H2YGuggPiVdoY5/HXsMbOqM80/f4F1iGgI8HWBnbvhvAioNcSlS9Fx9CW8TlBO6Owd5oKFjKWy//ALj9qhuR5d/aYEHr+LF93V7cwNEZEkGLehWB61r2kJHS+u/8Vb/dTc8Fu0Wn4dXpTLY9E1DbA4Ow8HbEZjmXwPmhrp49iYRP2y/qTK2g8O88NWKi6hsY4rb/8SqjC1TyIw2kMvScfjwYbRp06bYXr6X15xHnpJSixYtyvOKhw8fnue6n7OSkJTKPLkT0cdRR/KnIBTVuEqKkT6VMf/EY02HQVSsZPeDERFRUXN8ZFMsPPkEh27n7Q7GlaxN8tSzjArfl3XL4tHreIUflwrTlHrp6Nmp5Cel8jSmVNYxl3IikUiYlCIiIsoBE1JE+ceEFBEVF77z/85XfSakiq6svQU1YdJ1HfTspNEQCkWeklKhoaEFHQcREREREREREX1G8jTQeXayGxyYiIjyQCJBqrYOIMl+/AKNKKpxERERERFRifJRSam1a9eiRo0aMDAwgIGBAWrUqIE1H9zWnIiIcnbPxhlVxuzDPRtnTYeioKjGRUREREREJUueLt/LauLEiZg3bx6GDRsGDw8PAEBQUBBGjhyJFy9eYOrUqWoPkoiIiIiIiIiISpZ895Ravnw5Vq9ejZkzZ6JDhw7o0KEDZs6ciVWrVmHZsmUFESMRUYnk/PYlDm74Ac5vX2o6FAVFNS4iIiIiIipZ8p2UkkqlqF+/vlK5m5sb0tPT1RIUEZVcX7tX0HQIRYZBeipqvA6BQXqqpkNRUFTjKknKWhhqOgQiIiIiKsJ6OMs0HUKhyPfle71798by5csxb948hfJVq1bh66+/VltgVPRd/+UL1PvttFK5s5UxBnk7Y//NCJx/+lZhmqGuNpKlMizuURezjjxEeExytsv3cCoNLS2gY+2y+PF/twEAfT0qok1NO1SzN0PLeWfxOi77L82Le9RFy+o2MNDVxtnHb5AqlcHX1RYAMGbXLey+9k+O27egWx1UtzfDvOOPcSc8FoGjmsJITwcyuYB0uRyXQ6PRe+3lbOe/M9kXyWkymBvp4tKzaPRZl1HX3twAEbEpOa4bAAZ5O2Hl2WcKZTcntoSFkR7u/BOL9kvO5zj/w2mtsCU4DPEp6fiyXlkY6elAKpPD2lQfWhIJvt96HUfvRaqct20tO8z8siYuPYtGxdJGmLz/Hi6GvIOhrjam+9fAvpvhOPfkrcp5swoa3xx91l7Gk6gE/NSqKgY3yxij6LdONTHz8AOs/PuZyvncKlpiSc+6sDNX/OIukwtIkcrQ+PdTiEmS5rr+Yc0rwcJID9MO3gcANK9qja71y2H3tXCceJDz7cW/b+aMZlWs0WfdJaRI5QAAUwMdzPyyJgLvv8ZfNyOynddEXwc3JrbE7X9i0Hl5EACgoUMp3I2IRVKaDBv6NcCb+FRsWPI0120oqpq4lMlTGxjY1Amrsnmdc9Kmpi0O31FunydGNUUla1PI5AKcfz6c4zL2fO+JjRefw0hPByFvEnA5NBr/G+wBt4qlkCKV4ejdSIzYcTPb+e9P9UPo20TYmRtCW0uCpLR03AuPw8mHr9G7kQPaLDqXp23Z8W1DxKXK8e2mq9gxsBHcnUoDAHZdfYmxu29nO9/VCT5ITZeLCSypTI4rz6Px9+O3OHArIsfzZ1aljPUQnZimULalvzs8nEvjx9238b/rqs+FA5s64ec21XA/Ik7c1noVLDClQw3IBQHP3ibAxdoU7RarPhf1blQR0/xrIPjZOyw48RjJaTLYmRviYWQcGjiUwsiWlbHjykssPPkkx/hLG+uhZXUbpEhl2HczAnO71Eb72vbQ09FCaroMUXGpaDJb+b0IAIz1tHFjoi/0dLQQ8iYBtmYGMNbXgSAIeBOfioYzTua2+0RHRzRBqwX/veahM9vg7OM3CFh/Jdf4z4xthrG7bqs8505qXx1TDtzPdv4ubuWwK8v71QAvR6w5H4q2Ne2w9Ot6iE5MQ71pgdnOv39oY1S2MUVkTCJ2HzmD/4Ub411iGqxN9THWrwra17LH2BzaAQCs6FUPDRxKYc6xRwi8/xqLetSFW0VL6Oto4VrYe3y1IijHfQBkvCe/jkvB9EMPEODpgIntqkNLK+NmCpeevUO3VcHZzjvGtzKGNncRn0tlcjx+HY+LT9/hUug7nHgQlev6P9yPmXo0LI8ZnWpCIpHgZXRStm3p4DAvlLc0QkRsMspZGqLm5OMAMt5XTj3Mff1HRzSBQ2ljVP31qMrptyb6ovbU47kuBwD0dbSQmp7xvvTnt43g4ZxxThEEAesvPMfUg9m3pz4eFTG1Yw3I5AK0JMA/75OhrSWBga52ju0oq2MjmmLQ5qt4/i4JbhUtMfSLSqhT3gKWxnp49iYBzeeezXZea1N9HBvRFCcevMb1sGjI34WhU/NGKFvKBGceReHXv+7luv4Ote2x/1aE+L+dhQFWnn2GkT6VIUDA5qAwvPvgnPehBd3qqDz/z+hUEz/vvZPjvP29HOFQ2kiMtad7BWy79AJAxjlyVZ/6qD/9RK7bkSnz9RzdsjKGNq+E348+woqzITnOs6ZPfXi5lMHKs89w8+V7LO/lBl1tLWhrSTB21y2Vbf1DD6e1QpuF5/DsbSJG+lTGDz4uuBYWjYiYFCSkpuOXvXcgz+F+Vt82ccS41tVw/F4k3iWmYcK+u3ne5pw8nt4autoS/Lz3Dv68nH2P7Qltq8FYXwfj99yBlgRY1bs+NgY9x7knb/HXkMb47dADXH4eneO6Mt/n2y76731sZItKMDXUy/E4yo5vdRtM6eiK0sb60NPRwvIzIfj96MNs658e0wwOpY0gkUiQli7HjRfvEZMsRTVbM9hZGMDllyN5Wu/m/g0xaf89PHuTCAAIHt8CtuYGuR6PALDs63q48eI9Vp8LhU81a7xPkuJa2Pu8b3QBWti9DhaceIIZnWqix+rs3yM+NLyFC66HvUfws3coZayHqPicf2RtW8sO4e+TcfNljFi2qrcbvFzKQCoTUHtK7ufmwJFNcTciFpuDwnD9RQy+beKI6EQpvqxXFl+vuZTn2LvVL4/wmGTUKW+Boc0ccexo3tpAcScR8nn7vGHDhmHTpk0oX748GjVqBAC4dOkSXrx4gT59+kBXV1es+2Hiiv4TFxcHc3NzxMbGwszMTNPhfBSpVIpDhw7jqUFlLDmT8aVzhI8LRvhUVqqbnCaDoZ62UvnbhFSFN+6KpY3g6VwG3zZxhJOVSb7iufD0LcqY6KOKrWme6sckpWHdhedY9MEXIhszfUzp4IpWNexyXUZqugweM0+JX/geTG0FACq3NasUqQx62lrQ0pLgbnis+KVu/9DGqFXOQqFu5iEqUXEntA+/mP/UqioGNHGErnbeO0FKZXL0WXsZ5UsZYpC3M5zzuN9lcgEHbkXg0J1XCLyvmODp4lYOc7rUztMy+q67rJC8DJnRBtpaud/17X5EHDYHP1f6wPJjrXS8M3XG+DbVofPvfoiMTYGlsS70dZRfl5ikNLReeA6vYlNwdEQTVCxlnOvrlyk5TYYxu27h0J1XcChthBE+lfEwMh4/+lURv2zl5P25YFg29UDbvgtwz7ZSntZZGFwjn+LQxhFKcfVqVAFNXKzg929y9/i9SAzcfE1pfj1tLTz+rbX4POxdIr7bch1zvqqFcpaGiEtOh7WZPm69jIGNmQFevk+CnrYWlpx+iio2phjjVwX6Olq4/uI9DHS1UdXWTGWbiE5Mw7knb/DD9ptiWYfa9nAobYRRvlXyvL1VJhxBarocvRtVRKd6ZWGqrwMXm9zPI0lp6Ri98xaO3FVONMzvVht+1awQeOwo2rRpo/De+KHUdBmqTPjvi+qq3m5iAj0nOX3YvD3ZF2YGiutMSktHYqoMVqb6CuVxKVLIZAJS/j2fAUD3BuUxq3OtXGMAgMTUdCw+9RQCBPTzdMThO6/g62qDcpZGeZo/6znwQw+mtsrT8RifIsXeG+GIT0lHA4dSSEuXQ19XCw0cSuU674jtN7BPRZJ5TZ/6+KKqda7no3SZHNMPPUDneuVw8HaEmGxf368BvqhirVBXJheyXd6Ld0mwNTfAnGMPsfpcKPR0tHBwmBcq25hCEASkpsshkwsw1lf+PfH8k7fotVbxQ6+pgQ4u/+wj7j+pVIrDhw/n2B7TZXJUn3QM5SwMMadLbdSrYKHyvUeVnJJj+4Y0Rp3yFrkuI+uPFT+0cME3Xo7Q19GCgW7ubUAQBAzddgOH7rxSmja8eSXxnBCdmIZSxnrZLmdLcBjWnHuG2GQp3v/748fm/g3RxMUqx/VnvrZH7rzCsjMhcLExwdwutZEilSu1YblcQHhMMsqXMhJjz9zPIW8S0ELFcf1NY0dMbF9dYXtzem3eJaTC7d/PV9XtzHBwmFee3pfexKeiwW+qEyoHh3mhRlnzXJcBAEtPP8WcY48Uyn5uUxXfNnES486pTTqMO6S0zBZVrbE2oIH4PLvPlgCw8MQTrD73DJbGungZnQw9HS2s6u2GZvk4Ju9FxCokK2Z3roXa5S3Ez5mZx6WBrjYSUtORKpWhtEnG+fV9YhrqZnM8jGtdFYOaZuyHnNYvCAL23gjHH8ceoW0tO/zYqiouPH2LWuUscmzDmQLvv8a3m66qnHbuxy/E9peTD9vjtQk+uBsRBw+n0tDTUf6smbk9giDg2L1IWP37Q2inZRcBAFVtTXFwmJf4+SxTilQGfR0tpTZ9OTQapx9FYfmZ/5J07WvbY1H3Onk+NwHAwE1Xcfz+a/i52mDWl7VgqWL/PYuKxa2LZ9CubUZ7lMsFxKVIYWqgq/QjmFtFS7SsboPO9copvaeq8s/7JHj9npHwNtHXwZ3JvnmK/8nreLSc/3e20ye1r44AT4dclyUIAsLeJaHZH2cAZLwOf37bSOV+ABRfxw5LLuBOeKxSneez2iqVyf/NYn54rvnw+0rF0kYIe5cEIONHfOHfba1XwRLhMclITZfDRF8HNmYGCsu5FxELCSSoZmeKM4/fwNXODNb/1pHK5HgTnwp7FT3RP/y+mdXiHnXRvra9ymlZpUhlmHrwvpiAHuHjAg+n0rAzN0SF0jkfS+8SUrH0dAjWXQhVmta9QXm0qGYD78pWSsdUXt63i7q85jzynZT64osv8lRPIpHg1KlT+Vn0Z6WkJKWK+4ECALHJUmy//AJ3I+Iw68uaKj/w5yY5TQYDXeU308IglcnFHkQWRrl/SCkIETHJOPkwCl/VK5fnhM6H80skgIWhXr7nl8rkCH72DtXszGCmJ8GRI0eKT5u8fh1wc8OL43+jQssmAFR/EC9smUkpXLuG29ZOWHMuFAObOil9GREEAZP338PGoDDUq2CB+d3qwNrU4KPawKeQyQUE3n8NL5cyMPmI4zctXY43CamffEmdTC7gwas4VLczg5aWJF/nyNR0Gd4mpOF9Ylqev/RlSpfJoaOthRSpDIIApMvlMDUoBu0/C0EQcP3FezhbmcDcUBfRiWnil7vCktlzbXbnWujsVi5PyfGi5l1CKiyN9JAmkyslcgrjPTshNR3H70XCwkgXNctaQCqTw87cIN/vjTklG3LzMjoJN1/GoG1NO6T/2xvowy/AxcXtf2Jw6M4rjGhR+aP2R1q6HMlSGcwN8/96P4yMw8kHUehcrxxszQ1ynyEH6TI5ZIKg9MNQTm1SLhfwz/tkGOtro5SxnkY+XwHA67gUBD97hzY17fL1g19WT6Pice7JW/RuVLHQ22J4TDIaz8r4PjaudVXoaEnQ26Oiyh/pcpL5PqMp/7xPwk//u41F3et+9HtDbtuQ2zkyKS0dCSnpYhIkvzJ7J35MWxYEAY9fJ+DwnVcoa2GILvXLFfoxcTk0GgM3X0VfDwf09XTIU2L0Q4IgiIn63BLr6iaXC1h25imeRCWgqYsVOruV+6jlPI1KgI2Z/kd/zkqRysQes1v6u8PLpUy2dUvCd+0CS0qRejApRaR+xa5Nvn8PnDgB+PgAlpYACj4pVaucOUoZ66G6nRmWnVF9eYBZSgLO1k2HZYc2YlyUf8WuPVKJxvZIRQ3bJBUlbI9U1JSENpnXnEf+f1ImIiL1sLQEunQp1FUObOqEdrUyuin39XSAkZ42tCQSGOlp411iGq4+f4/E1HRYfuQvSERERERERHmV76RUSkoKFi9ejNOnTyMqKgpyuVxh+vXr19UWHBFRifb6NbB1K/D114CNTYGtpkZZM9wNjwMAVMgyhsSH1+qXMdFHqxq2GXHNm1fgcRERERER0ect30mp/v374/jx4/jqq6/QsGFDjV3jTURU7IWHA6NHA82aFWjyZ8dAD9x/FYeX0UlKA+lrMi4iIiIiIvq85TspdfDgQRw+fBiNGzcuiHiIiCgfdg7yQNeVOd+O3UBXGw0cSuXpTmRERERERESFJd+3UShbtixMTXO/VTYRERUsn2rWaOhYCj3dK6ic7lDaCOd+/KJY3kWMiIiIiIhKvnwnpebOnYuffvoJYWFhBREPERHl0ZKe9QAAE9tVVzn9K7dyKJ9lDCkiIiIiIqKiJN+X79WvXx8pKSlwcnKCkZGR0u0Jo6Oj1RYcEVGJZm4OtG+f8fgvZytjhLxJzNPsBrraCo8fMtT7yBusqoiLiIiIiIhI3fL9jaVHjx4IDw/HjBkzYGNjw4HOiYg+lrMzsH+/QpGWGs+pH70kFXERERERERGpW76TUhcvXkRQUBBq165dEPEQEX0+pFIgJgawsAD+7XWa2/hPe7/3RLdVwShtrJfr4j86v6UiLiIiIiIiInXL95hSVatWRXJyckHEQkT0eblzB7C2znj8l5Wpfo6z1K1giduTfPH3j1/kuviP7nWlIi4iIiIiIiJ1y3dSatasWRg9ejTOnDmDd+/eIS4uTuGPiIg+nqVR7j2gDHS1oaud++m7mp2ZOkIiIiIiIiIqEPm+fK9Vq1YAgBYtWiiUC4IAiUQCmUymnsiIiD5D2V29t6q3G+zMDfO1rIaOpdQQERERERERUcHId1Lq9OnT2U67w0s9iIg+SRMXK+y7GaFQ1qKqNXxdbfO1nOn+NdQZFhERERERkdrl+/I9b29vhb969erh0aNHGDt2LH744YeCiJGI6LPRqW5ZpbI1fevnOt/wFi4Kz9V5Fz8iIiIiIqKCkO+kVKa///4bffv2hZ2dHf744w80b94cwcHB6oyNiKhkq10biI3NePyXlorr9yR5SDA1clK8VK9WOXO1xkVERERERKRu+bp8LzIyEhs2bMDatWsRFxeHrl27IjU1Ffv27UP16tULKkYiopJJWxswK5jByGuU/YSkVAHGRURERERElCnPPaXat2+PKlWq4Pbt21iwYAEiIiKwePHigoyNiKhke/IE8PPLeCxKimpcRERERERUouS5p9SRI0cwfPhwDB48GC4uLrnPQEREOYuPB44fz3jMhodT6UIM6F95iIuIiIiIiOhT5bmn1Pnz5xEfHw83Nze4u7tjyZIlePv2bUHGRkT02VsbkPsg50RERERERMVRnpNSjRo1wurVq/Hq1SsMGjQI27dvh729PeRyOQIDAxHPX9SJiNTOSC9fQ/8REREREREVG/m++56xsTG++eYbnD9/Hnfu3MHo0aMxa9YsWFtbo0OHDgURIxERERERERERlTD5TkplVaVKFcyePRv//PMP/vzzT3XFRET0eShfHliyJOPxEzmVMVFDQP9SY1xERERERETZUct1Idra2vD394e/v786FkdE9HmwsgKGDFHLomzNDdSyHABqjYuIiIiIiCg7n9RTioiIPkF0NLBlS8ZjUVJU4yIiIiIiohKFSSkiIk15/hzo3TvjsSgpqnEREREREVGJwqQUEVEJoast0XQIREREREREecakFBFREdO0shUAoFv9/A00LggFEQ0REREREVHBUMtA50REpD7Lvq6HC0/fwvvf5BQREREREVFJxKQUEZGmGBsDjRplPGZhoq8DP1dbDQWFbOMiIiIiIiJSJyaliIg0pUoVIChI01EoK6pxERERERFRicIxpYiIiIiIiIiIqNAxKUVEpCnXrwMSScajGqhtnHM1x0VERERERKQKk1JERERERERERFToik1S6rfffoOnpyeMjIxgYWGhss7Jkyfh6ekJU1NT2Nra4qeffkJ6erpCndu3b6NJkyYwMDBA+fLlMXv2bKXl7Nq1C1WrVoWBgQFq1qyJw4cPK0wXBAETJ06EnZ0dDA0N4ePjgydPnqhtW4mIiIiIiIiISrpik5RKS0tDly5dMHjwYJXTb926hTZt2qBVq1a4ceMGduzYgf3792PcuHFinbi4OPj6+qJixYq4du0a5syZg8mTJ2PVqlVinYsXL6JHjx7o378/bty4AX9/f/j7++Pu3btindmzZ2PRokVYsWIFLl26BGNjY/j5+SElJaXgdgARUS4EQW0X8BERERERERW4YpOUmjJlCkaOHImaNWuqnL5jxw7UqlULEydORKVKleDt7Y3Zs2dj6dKliI+PBwBs3boVaWlpWLduHVxdXdG9e3cMHz4c8+bNE5ezcOFCtGrVCmPHjkW1atUwbdo01KtXD0uWLAGQ8aVvwYIFmDBhAjp27IhatWph06ZNiIiIwL59+wp8PxARERERERERlQTFJimVm9TUVBgYGCiUGRoaIiUlBdeuXQMABAUFoWnTptDT0xPr+Pn54dGjR3j//r1Yx8fHR2E5fn5+CPr39uihoaGIjIxUqGNubg53d3exDhFRnlSvDjx5kvFYlBTVuIiIiIiIqETR0XQA6uLn54cFCxbgzz//RNeuXREZGYmpU6cCAF69egUAiIyMhKOjo8J8NjY24jRLS0tERkaKZVnrREZGivWyzqeqjiqpqalITU0Vn8fFxQEApFIppFJpvre3KMiMu7jGTyVPsWuT2tpAxYoZ/6shZqcyxnj6JvHfxX3C8tQc1+eq2LVHKtHYHqmoYZukooTtkYqaktAm8xq7RpNS48aNw++//55jnQcPHqBq1aq5LsvX1xdz5szBd999h969e0NfXx+//vorzp07By0tzXcImzlzJqZMmaJUfvz4cRgZGWkgIvUJDAzUdAhECopLmzR6/RpVt23Dw549kfRBovtj9CgHHJJroUVZudINGjQZ1+euuLRH+jywPVJRwzZJRQnbIxU1xblNJiUl5ameRpNSo0ePRkBAQI51nJyc8ry8UaNGYeTIkXj16hUsLS3x/PlzjB8/XlyGra0tXr9+rTBP5nNbW9sc62SdnllmZ2enUKdOnTrZxjZ+/HiMGjVKfB4XF4fy5cvD19cXZmZmed7GokQqlSIwMBAtW7aErq6upsMhKn5t8sYN6A4aBNvZs4G6ddWyyD7qWEgBxPU5KnbtkUo0tkcqatgmqShhe6SipiS0ycyrw3Kj0aSUlZUVrKys1LpMiUQCe3t7AMCff/6J8uXLo169egAADw8P/PLLL5BKpeILGxgYiCpVqsDS0lKsc/LkSYwYMUJcZmBgIDw8PAAAjo6OsLW1xcmTJ8UkVFxcHC5dupTtnQEBQF9fH/r6+krlurq6xbaRZSoJ20AlS7FpkzoZp2BdHR2gKMVbVOMqpopNe6TPAtsjFTVsk1SUsD1SUVOc22Re4y42Y0q9ePEC0dHRePHiBWQyGW7evAkAqFSpEkxMTAAAc+bMQatWraClpYU9e/Zg1qxZ2LlzJ7S1tQEAPXv2xJQpU9C/f3/89NNPuHv3LhYuXIj58+eL6/nhhx/g7e2NuXPnom3btti+fTuuXr2KVatWAchIeo0YMQLTp0+Hi4sLHB0d8euvv8Le3h7+/v6Fuk+IiIiIiIiIiIqrYpOUmjhxIjZu3Cg+r/vvJSWnT59Gs2bNAABHjhzBb7/9htTUVNSuXRt//fUXWrduLc5jbm6O48ePY8iQIXBzc0OZMmUwceJEDBw4UKzj6emJbdu2YcKECfj555/h4uKCffv2oUaNGmKdH3/8EYmJiRg4cCBiYmLg5eWFo0ePKt39LyeCIADIe5e2okgqlSIpKQlxcXHFNntLJUuxa5MJCf89FqVzQVGNq5gpdu2RSjS2Rypq2CapKGF7pKKmJLTJzFxHZu4jOxIhtxpUIP755x+UL19e02EQERERERERERWIly9foly5ctlOZ1JKQ+RyOSIiImBqagqJRKLpcD5K5mDtL1++LLaDtVPJwjZJRQnbIxUlbI9U1LBNUlHC9khFTUlok4IgID4+Hvb29tDS0sq2XrG5fK+k0dLSyjFbWJyYmZkV2wOFSia2SSpK2B6pKGF7pKKGbZKKErZHKmqKe5s0NzfPtU726SoiIiIiIiIiIqICwqQUEREREREREREVOial6KPp6+tj0qRJ0NfX13QoRADYJqloYXukooTtkYoatkkqStgeqaj5nNokBzonIiIiIiIiIqJCx55SRERERERERERU6JiUIiIiIiIiIiKiQsekFBERERERERERFTompYiIiIiIiIiIqNAxKUUfbenSpXBwcICBgQHc3d1x+fJlTYdEJdDff/+N9u3bw97eHhKJBPv27VOYLggCJk6cCDs7OxgaGsLHxwdPnjxRqBMdHY2vv/4aZmZmsLCwQP/+/ZGQkFCIW0ElxcyZM9GgQQOYmprC2toa/v7+ePTokUKdlJQUDBkyBKVLl4aJiQk6d+6M169fK9R58eIF2rZtCyMjI1hbW2Ps2LFIT08vzE2hEmD58uWoVasWzMzMYGZmBg8PDxw5ckSczrZImjRr1ixIJBKMGDFCLGObpMI0efJkSCQShb+qVauK09keqbCFh4ejV69eKF26NAwNDVGzZk1cvXpVnP65fq9hUoo+yo4dOzBq1ChMmjQJ169fR+3ateHn54eoqChNh0YlTGJiImrXro2lS5eqnD579mwsWrQIK1aswKVLl2BsbAw/Pz+kpKSIdb7++mvcu3cPgYGBOHjwIP7++28MHDiwsDaBSpCzZ89iyJAhCA4ORmBgIKRSKXx9fZGYmCjWGTlyJA4cOIBdu3bh7NmziIiIwJdffilOl8lkaNu2LdLS0nDx4kVs3LgRGzZswMSJEzWxSVSMlStXDrNmzcK1a9dw9epVNG/eHB07dsS9e/cAsC2S5ly5cgUrV65ErVq1FMrZJqmwubq64tWrV+Lf+fPnxWlsj1SY3r9/j8aNG0NXVxdHjhzB/fv3MXfuXFhaWop1PtvvNQLRR2jYsKEwZMgQ8blMJhPs7e2FmTNnajAqKukACHv37hWfy+VywdbWVpgzZ45YFhMTI+jr6wt//vmnIAiCcP/+fQGAcOXKFbHOkSNHBIlEIoSHhxda7FQyRUVFCQCEs2fPCoKQ0f50dXWFXbt2iXUePHggABCCgoIEQRCEw4cPC1paWkJkZKRYZ/ny5YKZmZmQmppauBtAJY6lpaWwZs0atkXSmPj4eMHFxUUIDAwUvL29hR9++EEQBJ4fqfBNmjRJqF27tsppbI9U2H766SfBy8sr2+mf8/ca9pSifEtLS8O1a9fg4+MjlmlpacHHxwdBQUEajIw+N6GhoYiMjFRoi+bm5nB3dxfbYlBQECwsLFC/fn2xjo+PD7S0tHDp0qVCj5lKltjYWABAqVKlAADXrl2DVCpVaJNVq1ZFhQoVFNpkzZo1YWNjI9bx8/NDXFyc2MOFKL9kMhm2b9+OxMREeHh4sC2SxgwZMgRt27ZVaHsAz4+kGU+ePIG9vT2cnJzw9ddf48WLFwDYHqnw7d+/H/Xr10eXLl1gbW2NunXrYvXq1eL0z/l7DZNSlG9v376FTCZTOEEDgI2NDSIjIzUUFX2OMttbTm0xMjIS1tbWCtN1dHRQqlQptlf6JHK5HCNGjEDjxo1Ro0YNABntTU9PDxYWFgp1P2yTqtps5jSi/Lhz5w5MTEygr6+P7777Dnv37kX16tXZFkkjtm/fjuvXr2PmzJlK09gmqbC5u7tjw4YNOHr0KJYvX47Q0FA0adIE8fHxbI9U6J49e4bly5fDxcUFx44dw+DBgzF8+HBs3LgRwOf9vUZH0wEQEREVR0OGDMHdu3cVxqcgKmxVqlTBzZs3ERsbi927d6Nv3744e/aspsOiz9DLly/xww8/IDAwEAYGBpoOhwitW7cW/69Vqxbc3d1RsWJF7Ny5E4aGhhqMjD5Hcrkc9evXx4wZMwAAdevWxd27d7FixQr07dtXw9FpFntKUb6VKVMG2traSneneP36NWxtbTUUFX2OMttbTm3R1tZWaQD+9PR0REdHs73SRxs6dCgOHjyI06dPo1y5cmK5ra0t0tLSEBMTo1D/wzapqs1mTiPKDz09PVSqVAlubm6YOXMmateujYULF7ItUqG7du0aoqKiUK9ePejo6EBHRwdnz57FokWLoKOjAxsbG7ZJ0igLCwtUrlwZT58+5TmSCp2dnR2qV6+uUFatWjXxktLP+XsNk1KUb3p6enBzc8PJkyfFMrlcjpMnT8LDw0ODkdHnxtHREba2tgptMS4uDpcuXRLbooeHB2JiYnDt2jWxzqlTpyCXy+Hu7l7oMVPxJggChg4dir179+LUqVNwdHRUmO7m5gZdXV2FNvno0SO8ePFCoU3euXNH4UNFYGAgzMzMlD6sEOWXXC5Hamoq2yIVuhYtWuDOnTu4efOm+Fe/fn18/fXX4v9sk6RJCQkJCAkJgZ2dHc+RVOgaN26MR48eKZQ9fvwYFStWBPCZf6/R9EjrVDxt375d0NfXFzZs2CDcv39fGDhwoGBhYaFwdwoidYiPjxdu3Lgh3LhxQwAgzJs3T7hx44YQFhYmCIIgzJo1S7CwsBD++usv4fbt20LHjh0FR0dHITk5WVxGq1athLp16wqXLl0Szp8/L7i4uAg9evTQ1CZRMTZ48GDB3NxcOHPmjPDq1SvxLykpSazz3XffCRUqVBBOnTolXL16VfDw8BA8PDzE6enp6UKNGjUEX19f4ebNm8LRo0cFKysrYfz48ZrYJCrGxo0bJ5w9e1YIDQ0Vbt++LYwbN06QSCTC8ePHBUFgWyTNy3r3PUFgm6TCNXr0aOHMmTNCaGiocOHCBcHHx0coU6aMEBUVJQgC2yMVrsuXLws6OjrCb7/9Jjx58kTYunWrYGRkJGzZskWs87l+r2FSij7a4sWLhQoVKgh6enpCw4YNheDgYE2HRCXQ6dOnBQBKf3379hUEIeP2qb/++qtgY2Mj6OvrCy1atBAePXqksIx3794JPXr0EExMTAQzMzOhX79+Qnx8vAa2hoo7VW0RgLB+/XqxTnJysvD9998LlpaWgpGRkdCpUyfh1atXCst5/vy50Lp1a8HQ0FAoU6aMMHr0aEEqlRby1lBx98033wgVK1YU9PT0BCsrK6FFixZiQkoQ2BZJ8z5MSrFNUmHq1q2bYGdnJ+jp6Qlly5YVunXrJjx9+lSczvZIhe3AgQNCjRo1BH19faFq1arCqlWrFKZ/rt9rJIIgCJrpo0VERERERERERJ8rjilFRERERERERESFjkkpIiIiIiIiIiIqdExKERERERERERFRoWNSioiIiIiIiIiICh2TUkREREREREREVOiYlCIiIiIiIiIiokLHpBQRERERERERERU6JqWIiIiIiIiIiKjQMSlFREREVEQFBATA399fY+vv3bs3ZsyYkae63bt3x9y5cws4IiIiIipJJIIgCJoOgoiIiOhzI5FIcpw+adIkjBw5EoIgwMLConCCyuLWrVto3rw5wsLCYGJikmv9u3fvomnTpggNDYW5uXkhREhERETFHZNSRERERBoQGRkp/r9jxw5MnDgRjx49EstMTEzylAwqKAMGDICOjg5WrFiR53kaNGiAgIAADBkypAAjIyIiopKCl+8RERERaYCtra34Z25uDolEolBmYmKidPles2bNMGzYMIwYMQKWlpawsbHB6tWrkZiYiH79+sHU1BSVKlXCkSNHFNZ19+5dtG7dGiYmJrCxsUHv3r3x9u3bbGOTyWTYvXs32rdvr1C+bNkyuLi4wMDAADY2Nvjqq68Uprdv3x7bt2//9J1DREREnwUmpYiIiIiKkY0bN6JMmTK4fPkyhg0bhsGDB6NLly7w9PTE9evX4evri969eyMpKQkAEBMTg+bNm6Nu3bq4evUqjh49itevX6Nr167ZruP27duIjY1F/fr1xbKrV69i+PDhmDp1Kh49eoSjR4+iadOmCvM1bNgQly9fRmpqasFsPBEREZUoTEoRERERFSO1a9fGhAkT4OLigvHjx8PAwABlypTBt99+CxcXF0ycOBHv3r3D7du3AQBLlixB3bp1MWPGDFStWhV169bFunXrcPr0aTx+/FjlOsLCwqCtrQ1ra2ux7MWLFzA2Nka7du1QsWJF1K1bF8OHD1eYz97eHmlpaQqXJhIRERFlh0kpIiIiomKkVq1a4v/a2tooXbo0atasKZbZ2NgAAKKiogBkDFh++vRpcYwqExMTVK1aFQAQEhKich3JycnQ19dXGIy9ZcuWqFixIpycnNC7d29s3bpV7I2VydDQEACUyomIiIhUYVKKiIiIqBjR1dVVeC6RSBTKMhNJcrkcAJCQkID27dvj5s2bCn9PnjxRuvwuU5kyZZCUlIS0tDSxzNTUFNevX8eff/4JOzs7TJw4EbVr10ZMTIxYJzo6GgBgZWWllm0lIiKiko1JKSIiIqISrF69erh37x4cHBxQqVIlhT9jY2OV89SpUwcAcP/+fYVyHR0d+Pj4YPbs2bh9+zaeP3+OU6dOidPv3r2LcuXKoUyZMgW2PURERFRyMClFREREVIINGTIE0dHR6NGjB65cuYKQkBAcO3YM/fr1g0wmUzmPlZUV6tWrh/Pnz4tlBw8exKJFi3Dz5k2EhYVh06ZNkMvlqFKliljn3Llz8PX1LfBtIiIiopKBSSkiIiKiEsze3h4XLlyATCaDr68vatasiREjRsDCwgJaWtl/FBwwYAC2bt0qPrewsMCePXvQvHlzVKtWDStWrMCff/4JV1dXAEBKSgr27duHb7/9tsC3iYiIiEoGiSAIgqaDICIiIqKiJTk5GVWqVMGOHTvg4eGRa/3ly5dj7969OH78eCFER0RERCUBe0oRERERkRJDQ0Ns2rQJb9++zVN9XV1dLF68uICjIiIiopKEPaWIiIiIiIiIiKjQsacUEREREREREREVOialiIiIiIiIiIio0DEpRUREREREREREhY5JKSIiIiIiIiIiKnRMShERERERERERUaFjUoqIiIiIiIiIiAodk1JERERERERERFTomJQiIiIiIiIiIqJCx6QUEREREREREREVOialiIiIiIiIiIio0DEpRUREREREREREhY5JKSIiIiIiIiIiKnRMShERERERERERUaFjUoqIiIiIiIiIiAodk1JERFSkbd68GVWrVoWuri4sLCw0HY7aXLlyBZ6enjA2NoZEIsHNmzc1HVKeTZ48GRKJRNNhKNiwYQMkEgmeP3+u6VAKlEQiweTJkzUdRpGm7n2UkJCAAQMGwNbWFhKJBCNGjMi2roODAwICAtS2biIiopKOSSkiohJu586dkEgk2Lt3r9K02rVrQyKR4PTp00rTKlSoAE9Pz8IIMVsPHz5EQEAAnJ2dsXr1aqxatUqj8aiLVCpFly5dEB0djfnz52Pz5s2oWLEili1bhg0bNhRqLDNmzMC+ffsKdZ1ExcmMGTOwYcMGDB48GJs3b0bv3r01EkdSUhImT56MM2fOaGT9mhAREYHJkycXq6Q9ERHlj46mAyAiooLl5eUFADh//jw6deoklsfFxeHu3bvQ0dHBhQsX8MUXX4jTXr58iZcvX6J79+6FHm9WZ86cgVwux8KFC1GpUiWNxqJOISEhCAsLw+rVqzFgwACxfNmyZShTpkyh9rSYMWMGvvrqK/j7++d5ngkTJmDcuHEFF9RH6N27N7p37w59fX1Nh0IlzKlTp9CoUSNMmjQp17qPHj2CllbB/OablJSEKVOmAACaNWtWIOsoaiIiIjBlyhQ4ODigTp06mg6HiIgKAHtKERGVcPb29nB0dMT58+cVyoOCgiAIArp06aI0LfN5ZkJLU6KiogBArZftJSUlqW1ZH6sgtis76enpSEtLU8uyEhMTAQA6OjowMDBQyzLVRVtbGwYGBkXussKiIiUlBXK5XNNhFEtRUVF5Plb19fWhq6tbsAHlUebx+rnjfiAiKtqYlCIi+gx4eXnhxo0bSE5OFssuXLgAV1dXtG7dGsHBwQpfWC9cuACJRILGjRsDANavX4/mzZvD2toa+vr6qF69OpYvX66wjnbt2sHJyUnl+j08PFC/fn2Fsi1btsDNzQ2GhoYoVaoUunfvjpcvX4rTHRwcxJ4JVlZWSuPELFu2DK6urtDX14e9vT2GDBmCmJgYhXU0a9YMNWrUwLVr19C0aVMYGRnh559/xvPnzyGRSPDHH39g6dKlcHJygpGREXx9ffHy5UsIgoBp06ahXLlyMDQ0RMeOHREdHZ3rfr59+zYCAgLg5OQEAwMD2Nra4ptvvsG7d+/EOgEBAfD29gYAdOnSBRKJBM2aNYODgwPu3buHs2fPQiKRiOWZYmJiMGLECJQvXx76+vqoVKkSfv/9d4XXLet2LViwAM7OztDX18f9+/dVxiuRSJCYmIiNGzeK68zspZU5btT9+/fRs2dPWFpaiklKVWNKSSQSDB06FLt27UL16tVhaGgIDw8P3LlzBwCwcuVKVKpUCQYGBmjWrJnS2E+Zr9Xt27fh7e0NIyMjVKpUCbt37wYAnD17Fu7u7jA0NESVKlVw4sQJhflVjSnl4OCAdu3a4fz582jYsCEMDAzg5OSETZs2qXztvL29YWhoiHLlymH69OlYv359nsapysvrnnW/PX36FAEBAbCwsIC5uTn69eunlCxNTU3FyJEjYWVlBVNTU3To0AH//PNPjnFkOnPmDCQSCbZv344JEyagbNmyMDIyQlxcHADg0qVLaNWqFczNzWFkZARvb29cuHBBZayPHz9Gr169YG5uDisrK/z6668QBAEvX75Ex44dYWZmBltbW8ydO1cpjqioKPTv3x82NjYwMDBA7dq1sXHjRnG6VCpFqVKl0K9fP6V54+LiYGBggDFjxgAA0tLSMHHiRLi5ucHc3BzGxsZo0qSJykuP8yq3+DL3Y2hoKA4dOiQeIzm1hw/HlMpslxcuXMCoUaNgZWUFY2NjdOrUCW/evFGY9+rVq/Dz80OZMmVgaGgIR0dHfPPNNwAyjm0rKysAwJQpU8RYMs+JAQEBMDExQUhICNq0aQNTU1N8/fXXKmPK1KxZM4VzTOb27ty5E1OmTEHZsmVhamqKr776CrGxsUhNTcWIESNgbW0NExMT9OvXD6mpqUrLze3cnrnuGjVq4P79+/jiiy9gZGSEsmXLYvbs2QrxNGjQAADQr18/cZtzusQ5p/NWXmN78uQJOnfuDFtbWxgYGKBcuXLo3r07YmNjxTqZ57utW7eiSpUqMDAwgJubG/7++2+lmG7cuIHWrVvDzMwMJiYmaNGiBYKDgxXqqKudZJLL5ViwYAFcXV1hYGAAGxsbDBo0CO/fv8923xERaQov3yMi+gx4eXlh8+bNuHTpkvgl5MKFC/D09ISnpydiY2Nx9+5d1KpVS5xWtWpVlC5dGgCwfPlyuLq6okOHDtDR0cGBAwfw/fffQy6XY8iQIQCAbt26oU+fPrhy5Yr4RQIAwsLCEBwcjDlz5ohlv/32G3799Vd07doVAwYMwJs3b7B48WI0bdoUN27cgIWFBRYsWIBNmzZh7969WL58OUxMTMT4Jk+ejClTpsDHxweDBw/Go0ePsHz5cly5cgUXLlxQ6Knw7t07tG7dGt27d0evXr1gY2MjTtu6dSvS0tIwbNgwREdHY/bs2ejatSuaN2+OM2fO4KeffsLTp0+xePFijBkzBuvWrctxPwcGBuLZs2fo168fbG1tce/ePaxatQr37t1DcHAwJBIJBg0ahLJly2LGjBkYPnw4GjRoABsbGyQmJmLYsGEwMTHBL7/8AgBirElJSfD29kZ4eDgGDRqEChUq4OLFixg/fjxevXqFBQsWKMSxfv16pKSkYODAgdDX10epUqVUxrt582YMGDAADRs2xMCBAwEAzs7OCnW6dOkCFxcXzJgxA4Ig5Lj9586dw/79+8U2MXPmTLRr1w4//vgjli1bhu+//x7v37/H7Nmz8c033+DUqVMK879//x7t2rVD9+7d0aVLFyxfvhzdu3fH1q1bMWLECHz33Xfo2bMn5syZg6+++govX76EqalpjjE9ffoUX331Ffr374++ffti3bp1CAgIgJubG1xdXQEA4eHh+OKLLyCRSDB+/HgYGxtjzZo1eb4UMC+ve1Zdu3aFo6MjZs6cievXr2PNmjWwtrbG77//LtYZMGAAtmzZgp49e8LT0xOnTp1C27Zt8xRPpmnTpkFPTw9jxoxBamoq9PT0cOrUKbRu3Rpubm6YNGkStLS0xKTzuXPn0LBhQ4VldOvWDdWqVcOsWbNw6NAhTJ8+HaVKlcLKlSvRvHlz/P7779i6dSvGjBmDBg0aoGnTpgCA5ORkNGvWDE+fPsXQoUPh6OiIXbt2ISAgADExMfjhhx+gq6uLTp06Yc+ePVi5ciX09PTE9e7btw+pqaniJcRxcXFYs2YNevTogW+//Rbx8fFYu3Yt/Pz8cPny5Xxf2pWX+KpVq4bNmzdj5MiRKFeuHEaPHg0AYnIoP4YNGwZLS0tMmjQJz58/x4IFCzB06FDs2LEDQEaCzNfXF1ZWVhg3bhwsLCzw/Plz7NmzR1zn8uXLMXjwYHTq1AlffvklAIjnRCCjV6Sfnx+8vLzwxx9/wMjIKN9xAhnHraGhIcaNGyee/3R1daGlpYX3799j8uTJCA4OxoYNG+Do6IiJEyeK8+bl3J7p/fv3aNWqFb788kt07doVu3fvxk8//YSaNWuidevWqFatGqZOnYqJEydi4MCBaNKkCQDkaaxDVeetvMSWlpYGPz8/pKamYtiwYbC1tUV4eDgOHjyImJgYmJubi+s4e/YsduzYgeHDh0NfXx/Lli1Dq1atcPnyZdSoUQMAcO/ePTRp0gRmZmb48ccfoauri5UrV6JZs2Zioj2rT20nmQYNGoQNGzagX79+GD58OEJDQ7FkyRLcuHFD6T2SiEjjBCIiKvHu3bsnABCmTZsmCIIgSKVSwdjYWNi4caMgCIJgY2MjLF26VBAEQYiLixO0tbWFb7/9Vpw/KSlJaZl+fn6Ck5OT+Dw2NlbQ19cXRo8erVBv9uzZgkQiEcLCwgRBEITnz58L2trawm+//aZQ786dO4KOjo5C+aRJkwQAwps3b8SyqKgoQU9PT/D19RVkMplYvmTJEgGAsG7dOrHM29tbACCsWLFCYV2hoaECAMHKykqIiYkRy8ePHy8AEGrXri1IpVKxvEePHoKenp6QkpKitB+yUrWf/vzzTwGA8Pfff4tlp0+fFgAIu3btUqjr6uoqeHt7Ky1j2rRpgrGxsfD48WOF8nHjxgna2trCixcvFLbLzMxMiIqKyjHWTMbGxkLfvn2VyjP3fY8ePbKdlhUAQV9fXwgNDRXLVq5cKQAQbG1thbi4OLE8cz9nrZv5Wm3btk0se/jwoQBA0NLSEoKDg8XyY8eOCQCE9evXi2Xr169XWmbFihWV9n1UVJRSOx02bJggkUiEGzduiGXv3r0TSpUqpbRMVfL6umfut2+++UahbqdOnYTSpUuLz2/evCkAEL7//nuFej179hQACJMmTcoxnsz25eTkpBCbXC4XXFxcBD8/P0EulyvE7+joKLRs2VIp1oEDB4pl6enpQrly5QSJRCLMmjVLLH///r1gaGio0I4WLFggABC2bNkilqWlpQkeHh6CiYmJ2B4yX8sDBw4obEObNm0Uzi/p6elCamqqQp33798LNjY2SvszL/sor/EJQkY7atu2bY7Ly1o3637IbJc+Pj4K+3zkyJGCtra2eP7Zu3evAEC4cuVKtst+8+ZNttvWt29fAYAwbty4XGPK5O3trXC+yWw3NWrUENLS0sTyHj16CBKJRGjdurXC/B4eHkLFihXF5/k5t2ce75s2bRLLUlNTBVtbW6Fz585i2ZUrV5SO9Zxkd97Ka2w3btxQeW7+EAABgHD16lWxLCwsTDAwMBA6deoklvn7+wt6enpCSEiIWBYRESGYmpoKTZs2FcvU2U7OnTsnABC2bt2qUH706FGV5UREmsbL94iIPgPVqlVD6dKlxbGibt26hcTERPEXZ09PT/HynaCgIMhkMoVLHgwNDcX/Y2Nj8fbtW3h7e+PZs2fiJQ1mZmZo3bo1du7cqdCjZseOHWjUqBEqVKgAANizZw/kcjm6du2Kt2/fin+2trZwcXHJ9XKcEydOIC0tDSNGjFAYUPjbb7+FmZkZDh06pFBfX19f5eVBQMav6Vl/+c781bpXr17Q0dFRKE9LS0N4eHiOsWXdTykpKXj79i0aNWoEALh+/XqO8+Zk165daNKkCSwtLRX2mY+PD2QymdIlI507d/6o3hyqfPfdd3mu26JFCzg4OIjPM/dn586dFXo0ZZY/e/ZMYX4TExOFwfWrVKkCCwsLVKtWTaFHQXbzq1K9enWxhwWQ0eOkSpUqCvMePXoUHh4eCr1tSpUqJV7+lJv8vu4f7tMmTZrg3bt34uV1hw8fBgAMHz5cod6IESPyFE+mvn37KsR28+ZNPHnyBD179sS7d+/EdpSYmIgWLVrg77//Vhp3KutA/Nra2qhfvz4EQUD//v3FcgsLC6V9evjwYdja2qJHjx5ima6uLoYPH46EhAScPXsWANC8eXOUKVNG7AkCZPSgCQwMRLdu3RTWndmTSi6XIzo6Gunp6ahfv/5HHVt5jU9dBg4cqNBjrkmTJpDJZAgLCwPw3/hyBw8ehFQq/ej1DB48+JPiBIA+ffoo9KRxd3eHIAhKl4i5u7vj5cuXSE9PB5D/c7uJiQl69eolPtfT00PDhg3zdFzn5sNjLK+xZb4fHDt2LNfxBz08PODm5iY+r1ChAjp27Ihjx45BJpNBJpPh+PHj8Pf3V7i03c7ODj179sT58+fFYz6TOtrJrl27YG5ujpYtWypsq5ubG0xMTD7pklciooKg8cv3UlNTeaccIqICJpFI4OnpKX7pvHDhAqytrcU72nl6emLJkiUAICansialLly4gEmTJiEoKEjpg3psbKz4Qb5bt27Yt28fgoKC4OnpiZCQEFy7dk3h8rInT55AEAS4uLiojDW3ywoyP5xXqVJFoVxPTw9OTk7i9Exly5ZVuCwoq8xEWabM7ShfvrzK8tzG44iOjsaUKVOwfft2cTDzTFnHI8mvJ0+e4Pbt29kmmj5cl6Oj40ev60P5Wdan7s9y5copXepmbm7+0a+HqpgAwNLSUmHesLAweHh4KNXL6x0f8/u6fxiTpaUlgIztMTMzQ1hYGLS0tJQupfywzefmw9fuyZMnADKSVdmJjY0V41EVq7m5OQwMDFCmTBml8qxjaIWFhcHFxUXpTnTVqlUTpwMZg+Z37twZ27ZtEz8T7tmzB1KpVCEpBQAbN27E3Llz8fDhQ4Uv5B/T3vMan7rk9JoDgLe3Nzp37owpU6Zg/vz5aNasGfz9/dGzZ888f07W0dFBuXLl1B5rTsexXC5HbGwsSpcune9zu6rj3dLSErdv3/7UTVDZ9vMSm6OjI0aNGoV58+Zh69ataNKkCTp06CCOq5aVqmVVrlwZSUlJ4jhQSUlJKo/batWqQS6X4+XLl+JlxIB62smTJ08QGxsLa2trldv64TmKiEjTCj0pdeTIEWzfvh3nzp3Dy5cvIZfLYWxsjLp168LX1xf9+vWDvb19YYdFRFTieXl54cCBA7hz5444nlQmT09PjB07FuHh4Th//jzs7e3FX3ZDQkLQokULVK1aFfPmzUP58uWhp6eHw4cPY/78+Qo9K9q3bw8jIyPs3LkTnp6e2LlzJ7S0tNClSxexjlwuh0QiwZEjR6Ctra0Up4mJiVq3O2tPkQ+pWn9O5Vl7gKnStWtXXLx4EWPHjkWdOnVgYmICuVyOVq1afdKdz+RyOVq2bIkff/xR5fTKlSsrPM9pm/MrP8v61P2p7tfjU+fNq/y+7oURE6D82mXGMmfOnGzHYPrw+FMVq7rj7969O1auXIkjR47A398fO3fuRNWqVVG7dm2xzpYtWxAQEAB/f3+MHTsW1tbW0NbWxsyZMxESEvJR6y1Mue0ziUSC3bt3Izg4GAcOHMCxY8fwzTffYO7cuQgODs7TeVFfX18pyZa5bFVkMlm+Xt/ctiG/5/aCPA5Utf28xjZ37lwEBATgr7/+wvHjxzF8+HDMnDkTwcHBakn65UQd7UQul8Pa2hpbt25VuSx19aIlIlKXQktK7d27Fz/99BPi4+PRpk0b/PTTT7C3t4ehoSGio6Nx9+5dnDhxAtOmTUNAQACmTZvGkyYRkRpl9nw6f/48Lly4oHApkJubG/T19XHmzBlcunQJbdq0EacdOHAAqamp2L9/v8KvuKouATA2Nka7du2wa9cuzJs3Dzt27ECTJk0UfmxwdnaGIAhwdHRUSqbkRcWKFQEAjx49UrgkIi0tDaGhofDx8cn3MtXh/fv3OHnyJKZMmaIw8G9m75S8yO7Lo7OzMxISEgpk27Jb5+ekYsWKePr0qVK5qrIPqeN1VxWPXC5HSEiIQi+LR48effQygf8GsTczMyvw46RixYq4ffs25HK5QqLk4cOH4vRMTZs2hZ2dHXbs2AEvLy+cOnVKHOw/0+7du+Hk5IQ9e/YotNnMO3QWZHyFqVGjRmjUqBF+++03bNu2DV9//TW2b9+OAQMGfPSxamlpqXRnUiCjN1h2d0z9GJ96bldFXeen/MZWs2ZN1KxZExMmTMDFixfRuHFjrFixAtOnTxfrqDrGHz9+DCMjI/E7jJGRkcrj9uHDh9DS0lLqfZZXObUTZ2dnnDhxAo0bN1brDxRERAWl0MaUmj17NubPn4/w8HCsXbsWgwYNQvv27eHj44OuXbti6tSpOH36NEJCQmBhYYEtW7YUVmhERJ+F+vXrw8DAAFu3bkV4eLhCTyl9fX3Uq1cPS5cuRWJiosKle5m/3Gb99To2Nhbr169XuZ5u3bohIiICa9aswa1bt5Quwfnyyy+hra2NKVOmKP0iLgiCwiVAqvj4+EBPTw+LFi1SmH/t2rWIjY3N9x3K1EXVfgKgdGe8nBgbG6v88ti1a1cEBQXh2LFjStNiYmLEMV0+Rnbr/Jz4+fkhKCgIN2/eFMuio6Oz7WmQlTpe9w+1bt0aALBo0SK1LRPISD47Ozvjjz/+QEJCgtL0D289/ynatGmDyMhIhbGi0tPTsXjxYpiYmMDb21ss19LSwldffYUDBw5g8+bNSE9PVzpvqNrPly5dQlBQUIHHVxjev3+v1IYye7OlpqYCgHg3vfwer87OzggODkZaWppYdvDgQbx8+fLjA1bhU8/tqhgbGwPI/zZ/bGxxcXFK59OaNWtCS0tLfB0yBQUFKYxn9vLlS/z111/w9fWFtrY2tLW14evri7/++gvPnz8X671+/Rrbtm2Dl5cXzMzM8rUdeWknXbt2hUwmw7Rp05TmT09P/+zP90RU9BRaT6m8fmgoW7YsZs2aVcDREBF9fvT09NCgQQOcO3cO+vr6CgO0AhmX8M2dOxeA4nhSvr6+0NPTQ/v27TFo0CAkJCRg9erVsLa2xqtXr5TW06ZNG5iammLMmDHQ1tZG586dFaY7Oztj+vTpGD9+PJ4/fw5/f3+YmpoiNDQUe/fuxcCBAzFmzJhst8PKygrjx4/HlClT0KpVK3To0AGPHj3CsmXL0KBBA4WBcwuTmZkZmjZtitmzZ0MqlaJs2bI4fvw4QkND87wMNzc3LF++HNOnT0elSpVgbW2N5s2bY+zYsdi/fz/atWuHgIAAuLm5ITExEXfu3MHu3bvx/PlzpTF+8rPOEydOYN68ebC3t4ejo6PSbcpLuh9//BFbtmxBy5YtMWzYMBgbG2PNmjWoUKECoqOjc+ytoY7X/UN16tRBjx49sGzZMsTGxsLT0xMnT57MU8+tnGhpaWHNmjVo3bo1XF1d0a9fP5QtWxbh4eE4ffo0zMzMcODAgU9aR6aBAwdi5cqVCAgIwLVr1+Dg4IDdu3fjwoULWLBggcLA90BGMnvx4sWYNGkSatasKY7tlKldu3bYs2cPOnXqhLZt2yI0NBQrVqxA9erVVSbY1B1fQdu4cSOWLVuGTp06wdnZGfHx8Vi9ejXMzMzEnquGhoaoXr06duzYgcqVK6NUqVKoUaMGatSokeOyBwwYgN27d6NVq1bo2rUrQkJCsGXLFqUxyz7Vp57bs1umhYUFVqxYAVNTUxgbG8Pd3T3f44jlNbZTp05h6NCh6NKlCypXroz09HRs3rxZ5XtZjRo14Ofnh+HDh0NfXx/Lli0DAEyZMkWsM336dAQGBsLLywvff/89dHR0sHLlSqSmpmL27Nn52gYgb+3E29sbgwYNwsyZM3Hz5k34+vpCV1cXT548wa5du7Bw4UJ89dVX+V43EVFB0fhA50REVHi8vLxw7tw58XK9rBo3boy5c+fC1NRUYSyXKlWqYPfu3ZgwYQLGjBkDW1tbDB48GFZWVkp3YwIAAwMDdOjQAVu3boWPj4/KwVbHjRuHypUrY/78+eIH+PLly8PX1xcdOnTIdTsmT54MKysrLFmyBCNHjkSpUqUwcOBAzJgxI9eB0gvStm3bMGzYMCxduhSCIMDX1xdHjhzJ81iJEydORFhYGGbPno34+Hh4e3ujefPmMDIywtmzZzFjxgzs2rULmzZtgpmZGSpXrowpU6YoDcCbH/PmzcPAgQMxYcIEJCcno2/fvp9dUqp8+fI4ffo0hg8fjhkzZsDKygpDhgyBsbExhg8fDgMDgxzn/9TXXZV169bBysoKW7duxb59+9C8eXMcOnTooy/3ydSsWTMEBQVh2rRpWLJkCRISEmBrawt3d3cMGjTok5adlaGhIc6cOYNx48Zh48aNiIuLQ5UqVbB+/XoEBAQo1ff09ET58uXx8uVLpV5SABAQEIDIyEisXLkSx44dQ/Xq1bFlyxbs2rULZ86cKfD4Cpq3tzcuX76M7du34/Xr1zA3N0fDhg2xdetWhQTMmjVrMGzYMIwcORJpaWmYNGlSrkkpPz8/zJ07F/PmzcOIESNQv359HDx4EKNHj1b7dnzquf1Durq62LhxI8aPH4/vvvsO6enpWL9+/UcNbp+X2GrXrg0/Pz8cOHAA4eHhMDIyQu3atXHkyBHxjpqZvL294eHhgSlTpuDFixeoXr06NmzYgFq1aol1XF1dce7cOYwfPx4zZ86EXC6Hu7s7tmzZ8lHn2by2kxUrVsDNzQ0rV67Ezz//DB0dHTg4OKBXr15o3LhxvtdLRFSQJIK6R9XMxatXr3Dy5EmUKlVKvAQjU2JiIubOnaswJgMRERGRJowYMQIrV65EQkJCtgMQE9HnRyKRYMiQIeJda4mI6OMV2phSAHDlyhVUr14dQ4YMwVdffQVXV1fcu3dPnJ6QkKDQ5ZWIiIioMCQnJys8f/fuHTZv3gwvLy8mpIiIiIgKSKEmpX7++Wd06tQJ79+/x+vXr9GyZUt4e3vjxo0bhRkGERERkQIPDw+xZ9TUqVNRr149xMXF4ddff9V0aEREREQlVqGOKXXt2jUsXboUWlpaMDU1xbJly1ChQgW0aNECx44dU7jVOBEREVFhadOmDXbv3o1Vq1ZBIpGgXr16WLt2LZo2barp0IiIiIhKrEIf6DwlJUXh+bhx46CjowNfX1+sW7eusMMhIiIiwowZMzBjxgxNh0FExUAhD8lLRFSiFWpSqkaNGrh48aLCXSkAYMyYMZDL5ejRo0dhhkNERERERERERBpSqGNK9enTBxcuXFA57ccff8SUKVN4CR8RERERERER0WdAIrD/KRERERERERERFbJCH1OKMsjlckRERMDU1BQSiUTT4RARERERERERqYUgCIiPj4e9vT20tLK/SE8jSamLFy/C09NTE6suMiIiIlC+fHlNh0FEREREREREVCBevnyJcuXKZTu90JNShw8fRr9+/fD69evCXnWRYmpqCiDjBTIzM9NwNB9HKpXi+PHj8PX1ha6urqbDISoxeGwRqR+PK6KCwWOLSP14XFFJEBcXh/Lly4u5j+wUalJqy5Yt+P7777Fnz57CXG2RlHnJnpmZWbFOShkZGcHMzIwnSyI14rFFpH48rogKBo8tIvXjcUUlSW7DFRXa3fcWLFiAAQMGYMuWLfDx8VHrspcuXQoHBwcYGBjA3d0dly9fzrH+rl27ULVqVRgYGKBmzZo4fPiwwnRBEDBx4kTY2dnB0NAQPj4+ePLkiUIdBwcHSCQShb9Zs2apdbuIiIiISpKouBTI5LzHDhEREWUotKTUqFGj8Mcff6BDhw5qXe6OHTswatQoTJo0CdevX0ft2rXh5+eHqKgolfUvXryIHj16oH///rhx4wb8/f3h7++Pu3fvinVmz56NRYsWYcWKFbh06RKMjY3h5+eHlJQUhWVNnToVr169Ev+GDRum1m0jIiIiKikuhrxFwxknMWrnTU2HQkREREVEoSWlGjdujGXLluHdu3dqXe68efPw7bffol+/fqhevTpWrFgBIyMjrFu3TmX9hQsXolWrVhg7diyqVauGadOmoV69eliyZAmAjF5SCxYswIQJE9CxY0fUqlULmzZtQkREBPbt26ewLFNTU9ja2op/xsbGat02IiIiopJi6emnAIC/bkZoOBIiIiIqKgotKRUYGAhHR0e0bNkScXFxallmWloarl27pnA5oJaWFnx8fBAUFKRynqCgIKXLB/38/MT6oaGhiIyMVKhjbm4Od3d3pWXOmjULpUuXRt26dTFnzhykp6erZbuIiIiISprkNJmmQyAiIqIiptAGOjcwMMD+/fvRt29ftGrVChcvXvzkZb59+xYymQw2NjYK5TY2Nnj48KHKeSIjI1XWj4yMFKdnlmVXBwCGDx+OevXqoVSpUrh48SLGjx+PV69eYd68eSrXm5qaitTUVPF5ZmJOKpVCKpXmZXOLnMy4i2v8REUVjy0i9eNxpXlvE/77HMTXoeTgsUWkfjyuqCTIa/st1LvvaWtrY8uWLRgxYkRhrrZAjBo1Svy/Vq1a0NPTw6BBgzBz5kzo6+sr1Z85cyamTJmiVH78+HEYGRkVaKwFLTAwUNMhEJVIPLaI1I/Hlea8iP7vY+eHN5mh4o/HFpH68bii4iwpKSlP9Qo1KZVpwYIFallOmTJloK2tjdevXyuUv379Gra2tirnsbW1zbF+5uPr169hZ2enUKdOnTrZxuLu7o709HQ8f/4cVapUUZo+fvx4hURWXFwcypcvD19fX5iZmeW8oUWUVCpFYGAgWrZsyVuVEqkRjy0i9eNxpXk/BB0X/2/Tpo0GIyF14rFFpH48rqgkyOuwTRpJSqmLnp4e3NzccPLkSfj7+wMA5HI5Tp48iaFDh6qcx8PDAydPnlTorRUYGAgPDw8AgKOjI2xtbXHy5EkxCRUXF4dLly5h8ODB2cZy8+ZNaGlpwdraWuV0fX19lT2odHV1i/2JpiRsA1FRxGOLSP14XBUNfA1KHh5bROrH44qKs7y2XY0kpY4ePQoTExN4eXkBAJYuXYrVq1ejevXqWLp0KSwtLfO8rFGjRqFv376oX78+GjZsiAULFiAxMRH9+vUDAPTp0wdly5bFzJkzAQA//PADvL29MXfuXLRt2xbbt2/H1atXsWrVKgCARCLBiBEjMH36dLi4uMDR0RG//vor7O3txcRXUFAQLl26hC+++AKmpqYICgrCyJEj0atXr3zFTkRERPQ5kskFaGtJNB0GERERaVih3X0vq7Fjx4pdue7cuYPRo0ejTZs2CA0NVbjELS+6deuGP/74AxMnTkSdOnVw8+ZNHD16VByo/MWLF3j16pVY39PTE9u2bcOqVatQu3Zt7N69G/v27UONGjXEOj/++COGDRuGgQMHokGDBkhISMDRo0dhYGAAIKPX0/bt2+Ht7Q1XV1f89ttvGDlypJjYIiIiIqLsJaXxjsVERESkoZ5SoaGhqF69OgDgf//7H9q1a4cZM2bg+vXrHzXGwNChQ7O9XO/MmTNKZV26dEGXLl2yXZ5EIsHUqVMxdepUldPr1auH4ODgfMdJRERE9DkSBEHhebJUBlMDXpJCRET0udNITyk9PT1xJPYTJ07A19cXAFCqVKk8D4ZFRERERMVDmkyu8Dw5TaahSIiIiKgo0UhPKS8vL4waNQqNGzfG5cuXsWPHDgDA48ePUa5cOU2EREREREQFRCpT7CkVkyRFxdIaCoaIiIiKDI30lFqyZAl0dHSwe/duLF++HGXLlgUAHDlyBK1atdJESERERERUQNLSFXtKRcWnaigSIiIiKkoKtafUqVOn4O3tjQoVKuDgwYNK0+fPn1+Y4RARERFRIfgwKRWdyKQUERERFXJPqQEDBsDKygo9e/bEzp07ER8fX5irJyIiIiIN+DAplcQxpYiIiAiFnJR69uwZzpw5g+rVq+OPP/6AtbU1WrZsicWLF+PFixeFGQoRERERFRKlgc6lTEoRERGRBsaUqlWrFiZMmIDLly8jJCQEnTt3xpEjR1ClShXUqVMHEydOxNWrVws7LCIiIiIqIB/2lOLd94iIiAjQ0EDnmezt7fHdd9/h8OHDePv2LSZMmIDnz5+jVatWmDFjhiZDIyIiIiI1UeopxaQUERERoZAHOs+JsbExvvrqK3z11VeQyWSIjo7WdEhEREREpAbSD5JSSbx8j4iIiKDBpNSVK1dw+vRpREVFQS7/74OKRCLB3LlzYWVlpanQiIiIiEiNPrx878PnRERE9HnSSFJqxowZmDBhAqpUqQIbGxtIJBJxWtb/iYiIiKjoik+RwtRAN9d6TEoRERGRKhpJSi1cuBDr1q1DQECAJlZPRERERJ9o7flQTDt4H3O71EZnt3I51v1wTKnUdF6+R0RERBoa6FxLSwuNGzfWxKqJiIiISA2mHbwPABi961auddlTioiIiFTRSFJq5MiRWLp0qSZWTUT/Z+++w6K4ujgA/2aXpfdeREAFG4gFxYIde40lakwsMc1YYovRxJrYYprRWD5NoiaxJbElsfeKXVTsBbuCgBSpy+58fywzO7M7W0BgLed9njzB2dmdu2XKPXPuuYQQQkg50w1C5VNQihBCCCGw0PC9cePGoVOnTqhcuTJq1KgBhUJci2DDhg2WaBYhhBBCCDGDWs0Wa33d2fcoU4oQQgghgIWCUiNHjsS+ffvQsmVLeHh4UHFzQgghhJCXyLn76cVan8uMslXIkKdU69WYIoQQQsjrySJBqZUrV2L9+vXo1KmTJTZPCCGEEEKew7BVZ4q1/r20HABARXd7XEt6hnwlBaUIIYQQYqGaUu7u7qhcubIlNk0IIYQQQp5TdkHxZs9LzsoHAFTydASgPxsfIYQQQl5PFglKTZs2DVOnTkVOTo4lNk8IIYQQQp5DSWtKOdlqkvSpphQhhBBCAAsN35s/fz5u3rwJHx8fBAcH6xU6P3OmeCnhhBBCCCGk/BSWMCjlYKO59MwvLF6mFSGEEEJeTRYJSnXv3t0SmyWEEEIIIaVAVcygVIFKs74jH5SiTClCCCGEWCgoNXXqVEtslhBCCCGElILi1oQqLFrfkYbvEUIIIUSg3GpKsWzx7qgRQgghhJBXg/7wPTVdGxJCCCGk/IJSNWvWxNq1a1FQUGB0vevXr2Po0KGYM2dOObWMEPIqWHfyLmZuuYQ8pXl1SpIz83AnNbuMW0UIIQTQDt9zs9fWEU3PUVqqOYQQQgh5QZTb8L0FCxbgs88+w8cff4w2bdogKioK/v7+sLW1xdOnT3Hp0iUcPnwYFy9exPDhwzF06NDyahoh5CXGsizWn3mAz9ZfAAA8zMjDwrfqmnxeg1l7AABnJ7eBm4N1mbbxQXoufJ1tIZcxZbodQgh5USmLhus52yoQ4GqHB+m5uJWSjXplfPwlhBBCyIut3IJSrVu3xqlTp3D48GGsW7cOq1atwp07d5CbmwtPT0/UqVMHAwYMQP/+/eHm5lZezSKEvOR2XUrCuL/O8f/ecv4RhjbPQHiAi966jzJy8cexO3inYTC/7HZqdpkGpXZfSsJ7v51Cl0h/LOhXp8y2QwghlqRWs5AZCbxzw/cUchnsreUAaAY+QgghhFig0HlMTAxiYmLKe7OEkFfUufvpessepudKBqXeXXEKlx9lYs/lZH6ZjCnb7KWJGzUZXP+ee1guQancAhWyCwrh6WhT5tsqS3lKFWwVcks3gxBiJhXLQgZzglIMrOSyomUlrym1/vR9nL+fDoZh8EadAEQGupb4tQghhBBiOeVWU4oQQsqCXKZ/GOMK6eq6/CgTAHDlcZbg+WUblHqSlV+mr6+rwazdiJqxGynPyne7pWn5kURUm7wduy8lWbophLzUnuUX4npSlukVS4FKbTzAlF80fM/GSg5ruea4W1jMGfyExv51Divj7mDF0dvotvBIiV+HEEIIIZZFQSlCyEtNIRFU4jJsLj3MxIT15/E4I8/g80srU6pQ9fwzSZ25+xQJDzKe6zWy8goBAN/uuPpcr2NJ0/+9BAAYtS7esg0h5CXX4ceDaPPDQZy5+7TMt1VoblBKIXvuTCka9kcIIYS8OigoRQh5qXGdGyEuONRx/iGsPXkPDWfvMXhHnmGAe2k5Ju/yG1NQqEbXn46g0/zDJX6dRxm56LHoKDovOFwq06SvPXlP9O9ClRr30nKe+3XLUxmPrCTklXcvLRcAsOPi4zLf1uk7xgNfBUVBKWu5DFZFNxOUJcyUSn1mfCZnQgghhLw8KChFCHmpKeT6kQupwFBeoXTnZ9uFR2g6d99zZeWcupOGS48ycelRJrLySjbFefzddP7vPGXJh7QY8sHvp9F07r6XakgczVZISMklZWozRK0lgvfPS/c1TWVnctlNNgoZrK00zy1Ua491lx9l4vudV5GdX2hy21LDk59mGw5U/bT3Or7YeKFUAv6GZOcXYtXxO0jONJyZSwghhBB9FJQihLzUpIphSwWl7qZKZwnN33sDgKYQeXGwLItBy0/g7Z+P41G6thOSbyD4ZYqwydkFpjtlxbX3iqa4+4qjt4v93OO3UnH1cfnUpREq6yL0QizLmuywHruVil8OJ5Zpx5aQ0rL+zH3+73P3MzByzVmDAZO1J+6i/byDeJCea/brCwNKAIzOvKdWs/xQPRsruSBTSrsvdfjxEObvvYF5u6+Z3LZUrb6VcbcNrv/tzmtYdfyuqJ5gboEKcTdTJbNoM/OUxd7PZ2y5jC82JuDN/8UV63mEEELI667cZ9/jqNVq3LhxA8nJyVDrXNg0a9bMQq0ihLxspDoUKonOxLR/Lpr1esdupWJ7wmOMb18V9tb6h8gnWfm4k5qNyl6O2H/1CQCggpsd/3hBCYNSwg5edr4KKhbIylPCXaEo0esZohvnUarUyFOq4GQrvZ17aTnos/QYAOD2nE6l2hZTyisopVSp0e2nI3B3sMYf70UbXK9v0ecQ7GGP1tV9yqVtxZWcmYdF+2/i7YZBqOLtaOnmEAtiBDPhHbymOVblFBTi54H19dadsEEzS+jMLZewqH89k6/Nsix0Y/9WRoJSBYLjtI2VtqZUoURNqYsPM01uXypTytBsncLgUp5SW4vqk7VnsfNSEsa0CcPI1qH88iM3UtD/5+MY1DgY07rWNNkWzu7LmizU2wZugJjr6+1X4GyrwNAWlZ/rdViWxeVHWTiemIoBjYIp85QQQsgLyyJBqWPHjuGtt97CnTt39O5EMQwDlYoKWBJCzCNVXLdQzYo6HwBw18x6SlzgwdlOgTFtwvQej/l6L/IL1ZjRPZxfdumRthMlzJQqTjFe4fOe5Rdi8SUZxhzbh7iJrZCYko1LDzMxqHGwZA0tju7x9G5qDn7YfQ0fNq/EL9MN9HSafwjXkp7h7OQ2cHOw1nvNm0+emWz7x6tOY+uFxzjwaQsEeTiYXN9cZTDiSNK5e+n8d5inVPGdW5ZlceRGKsJ8HeHtZMuv/7ydzrI09q9zOHQ9BevP3MeFae0s3ZzXglrN4tz9dFTzdYadtXRgxBKkAuS7Lycbfc7WC4+hVKmhMLHzHbyeorfMWMwjXzAk2dpKxg/9k6opZU7w5JsdmmyqTrX88Cg9F2fupsPBwGcvPEUIj5A7i4Yyrzh6WxSUmrv9Cr+8OEEpoYJCNT9EsTjupeVg8f6bAIDkrDxM7VKy7avVLPouPYYTt9MAaD7z/tFBJXotQgghpKxZZPjeRx99hKioKCQkJCAtLQ1Pnz7l/0tLS7NEkwghLynuDnz7mr6IrOACQHNBrjuMrqqvk8nXEhYCf/BUehgL97rC4X6XHgqDUtpA1I1kbUDHVmH8cCvsnBUUqnE9U8ZvZ/jqs5ix5TL+OHaHX+fC/Qx8s+MKcgoK8TS7AMsO3kJSpjh74IPfT2Hj2QdoP+8Qv0y3w3ctSdPGozdTJdsllckgxLIstl7QFFFu8e1+o+uaQ/gdyMspUypVUIsmU1ATbNelJLz9y3G0+Ga/KOBX3sP3Jm9KwJdFMxKawtUm42ZhJGVv3al7eGPRUVSfst3STRExVN/uepLxobhbLzwy+dq7LukXTmeM7K/ccVHGaDKquFqAJQlKKVVqPlMq0M0ejkVZnquO3zW4PudMUTH2HMEQ6ac54lpUJZ3zQlgLKz2nZIXYheet5Udul3jijDtpOXxACgASHpjOPnudxN9Lx/i/z0kOAyWEEFL+LJIpdf36dfz999+oUqWKJTZPCHmFPCvqfPs42yA5S1MvRaXWrw8U7GGPAyZe6/z9DP5vG4kgkjD7SjgcRZitJcxOSM/RdgpNTX2uFDzvkqjuiRppRUGTWynZ/PIuPx3mt3096Rn2XkkW1ZABIKqfwjHU39OtD8NJeKj9TFiW1et4CjtRpRGr+Wz9ef7vKj6mA4mlIbdA+71m5hbCu2izB/ghTypRhkl5xqQeZ+Th96Jg5Lh2YbC1kiNXqYKDjfTpO0vQMVarWaN1fnTdS8vB48w81A92f75GCxS3DeXl1pNnqOBmX6JsFl2/xWmDxffSchDobv/cr/m8HqTn4ufDiZKPnb7zFKFG9i3h/mCIlUz/cwsy8r6544SNlRwMw8C+6Pf7rOj3eltwbDM2DBAQD90b2qIyIqfvBCB9vAOAs4JJJGZsuYy3oiuKMrd092d1CXfwHMHnVtLfvO7T3v/tFH4dpD/c0hSqe2dc94VHAABPc5RYNiDKwq0hhBBikUyp6Oho3LhxwxKbJoS8BC4/ysSsrZf5YAygGcpQ5fOtiPl6r+iCO7noTqe3sy1/h12lZvXuMJtTwNfBRjv8Q6pLse+KNjBhqHaUcLnwb5Walax/xa8reOy3OO0df+HwOalAxLl76XwRc0OdMiHRUBbB56hUadqXo1Nkfd7u6/zfwuDbtaQsjFhzVlT/JdRIDaNTt9NEWVCGeDja8H876bzfk7fT8NPe6yXOHjBE2JkUZkoJhzoeuCYISqH8Onw/7tF+/reeZOPjVWdQc+oOs37POUr94MLFhxkInrAFK47oByyazt2H3kviRAGC53H/aQ6iZu7Gdzv1Z2V7kJ6LzfEP+EBvRq6y1L9XQ/ZcSUar7w7g7V+Ol8rrGQpWW9LSAzcNPuZqrz9MV8jU0D3NOtp9w9tJs8+GGQl0cUEpLgjoZKvZt7mMvqmCmn+6P4PElGwkZ+aBZVl8+e8lTP9HkzXo72ILFzsFmlTxMNrWT/8+J/r33O1XJTO0OMKh3ndSS7YvXE96hj7/i8Oh60+K9bwEnXpae68YH25pSEn2JKVKjWGrzkgeG8rK0Zsp+HjVaf6GUnm7mWx6eDohhJCyZ5Gg1IgRIzB27FisWLECp0+fxvnz50X/EUJebx1+PISlB29hgyDzZ+aWyyhUs7j/NBe7imqBANppwN0drLVBKZbVK3Z+38BwPCFhZ0zNajrwfZfGIeGBJltIWEjXUP85p0CFzfEPMHLNWTzRKcZrrMMqzKQS3i0/fz9du02p+lkmMrB0CYcXCrOcClVqdP3pCGpM2cEPPdG92y7c1sBfT+Dfcw/Rc/FRflk1P2fJbV64n4FeS+LQcf4hyceFKrpri8Zn6gw/6r0kDt/uvIaNZx+IlrMsK/nZ6NLUiErRK5IsDMRl5gqDUtp1hEWjuSGP5WHNCW2AcvS6eGy/qBk2tcbAUCWhfImg1Li/NOfYaf9ewi1BwDNV8JmYs6+Yo9V3B5CWXYAFe/VvQrX+bj8+WRuPapO3415aDiKn7xT9lsrSquP3AAAnEkunXIDwcy5pgkpWnhL3n2qDIWfuPsV7K0+VOEBobCidqcBZTkEhBi8/gdHr4vUeO33nKVYdvwO5IFOqUWVNUEhqggkOd9yxKQpKORcNueOGGHJZiYA2+xXQ/C5bfrsfDWbtwcWHmfj1SCK/D4QHaIZrf9RcUxA8zEc6KK77e15x9DY+XnXGYFuFQ1+Fn0GeUqVXq9CQEWvO4nhiGt755YRZ63NGrjmrt4xlWZy7l653w8CQm0+eofV3pvKC9W298AhbLjzCNDOHCj+vZ/mFeGvZcWy98BhTN5s3EUlpEB7rKJ9M8/sydEOgUKXWOw8T8qLLU6qw72qy2cdr8mKwSFCqZ8+euHz5Mt59913Ur18ftWvXRp06dfj/E0JeXfmFKry74iSWHjR8J58jLKYrrP3wID0XVx9nYePZ+1AWXUxZy2WiTCnd0WjmnJyENVhq+DnhrWXHcexWGoat1nRghJlCadnStSiSMvPwydp4/HPuIcb/LQ6yC4eM6BIWS3cXFBx/KhgCmCMxrEZZzOySfKUalx9l4sfd10UBmDylim8DV19Kt4i8cIjfowz9O9t5ShUOXnuCiRvOizpQ2xI0NWrMqXN0N03bgbz8SDrzKzFFG0xhWRY9Fx9Ft4VHTAamdlxMQv+fj6PbT0dEy1cLAj8ZwqCUICol7OP/fVo8TLK8XBfc1f9pn36gRzeIqBt8uPXkGS4Lfmdzt2szmIS/v9KapUsqm5BlNUNr8wT7wn/nNb+P+HvpuJ6UVeYXkoduSNdPMwfLsnrD24Sfs7EMHGOiZ+1BzNf7+GzCHouOYvflJAzVCZ6cvftUcuY5XcKsT107L4rrQT3NFtc/mrz5IvZdfYKNZx/g6E1xQfOei4/ii40JuCgY1ssF841luvHD9xTSmVJC3s7abEnhpAKnbouDiD7OmskHuJsFpoZIC50qqi1lypmioX9HbqSg2uTtqDZ5Ox6akaVozneky9CQu3Un76HbQs0Ng4kbLhh97ambE0oUkALEAfkv/72EvVeSjKz9/MKn7uD/vve0fCaPmPHfJdSbsZv/t7mz5RYUqrHj4mP+hs3Rmyll/vmUl5CJW1H5863YnqBfJ67LT0dQa9pOJGdaJpPtdWLOjTVinokbLmDw8pP4fOMFSzeFFINFakolJpZfajAh5MWyOf4h9l5Jxt4ryfigmfEprwUjRERZOg42Vmg376B4XRnD371XqVm9uiC6hc+lCAMS/55/xP/7TmoOfjmcCD8X7QxsKc+kC9kaK5xqLENBePfWTpCR9UxQIyhXorNuaEhgJU8HUQ0qjpWcQYcfNRlLd9K0j6cJgl9cLSzdLCxTw6vylCoM+FWTGeDuYA2VGggPcBZlUDxIz0WAq53k8zNylaIC8hm5BZJ1rIQF0G+lZPMdxyfP8vmOqpR/zz/k2yDkVJS1AYjrgAm38+JVRdLW+LqTmo1fDieiR90Kosd1g6C6GRDC4v+P0rWdjjxBNt2tJ8+QlVeIyEDXUmlv/5+PSwZXOW1+OAgbKxmuzuhg1uuNXBsPJ1srzHoj4rnbJyU9pwBHb6aidXVv2FjJMf7v8/jr9H3sGNUMVX2dkJiSLToWlDQoxX0mxxPTREEZYRAx7mYq+i07BisZgxuzOhp9PWND8P47/wg/vaX994nbhjPG3lp2HLfndAIgDpoIAxjcUD6jQSmltqYUYDwoVdlLm/EknCBi1rYrovW42UK57CupzEBzWJsxXFGYVXfsVqrevlYaMg0E7Sds0Has1py4i5Rn+ZJ1kO4/zcFKQX0zIVNzRqjVLCYLspV+PZKIX48k4rvekehZr/Tfq+5+YuyGTWnSrbP2ID0XWXlK0TlAyoK917Fg7w1YW8lwaXo7vLVMM/T39KRY0ZDzl9lHf5zm93UOd/zZdzUZfepXLLVtxd1MxeEbTzAqNsys4cKvsoJCNQrVarT5/iCigt3wY9+SJ2csOXATykI1RghmE30dcdn0G848wPdv1rZsY4jZLHIkCAoKMvofeXXdTsnWuytLSo5lWaw+fhfBE7agwczdeJyRZ/adP3NdT8rCr4cT8efJe0jPKcDm+AdoPHuPqL5ScQhnKPrfgZtI0rkDJ7wbnl+o5gNDwsLjUneU5TKGD2IVStSUMif7QhiQ0B3a89V/l0QX0oY6YMYCT/lKNRIeaGr6vLFInK0jDD4JawEJt8MFpYzVpuIEezpILo8K0haxPnVbmy0gDIpxd5eUOulmwkwEqenXhRkkvxxOxJIDNzF89VmoBM9bJJHhw7n4IEP0b6WK5Tvrwu9cGKTqPP+wwdcz1j4RwWtfFcxMJiyCna3z3EcZxR/ilqdU4cfd13H+fjpGr4vHajOG4PWoE2DwMa7e2NwdV/Fb3B2MWCPOqtENxB68Jq5vIywoLdwPhR3EVt8dQLeFR/T204JCNeJupmLR/ht4Y9ERvSEe8ffSRf/+Le42cpUqHL2ZqveYboc5v1DNfza5BSpRXTWWZfHxqtOYsP487qXl4t9zD7H6+F3RsFSh60lZSMrMQ1aeEhcfZkL38GiqIPT7v53Cx6vO4Ptd1wAAfxVlybWbdxA3kp9h7Qnxd/i8x18GmmL7uvKUKvRbdgyA5vgmPF5IEQbYpQjPw+bOcnlIkLnKfWqtqnnztdeMZ0ppvh8uAORkowkCSA0NEr7OhjPaobq6n62rneY1uECXOTcepBSo1EZ/Bywrns1VmL1amszNrrqkU3eK8zy/PUOZSmP/Oie5/Hll6vw+ryc/K3H9ruf16+HbRh9nWZYfglxQqBbNspluYj97Uf1yOBHDVp/B1M0JouXCGYNn/Ke9iTFr6xW+nEJpZPT0W3YMC/fd1Dt+lqYTiWnYHP/A9IrPKTNPiZFrzpYoc27Gf5cQNmkbakzZUVRn8WGJJym4+DADc7ZdwXe7rr1Qs0oWqtSi6/6y8tayYwiesAXBE7aIlpe0r0LKn8XC0zdv3sSIESMQGxuL2NhYjBw5Ejdvmh7OQ15O5+6lo8mcvWjx7X7U+WoXlh9JNHjgNfeAfPVxlqgmSnlgWRYpz/KRll1QrBNHYko2Pvv7vF59EJZlDU7bbY59V5P5AEJyVj4azt6DsEnbMG/3tRK/Joe7wG3zw0F8+d8ljF9/HrW/3IVP1sbjYUYeBq84iSErTmLK5gTM2XbF7M9DmCUxe9sVRM/ag22CKch7LYnj/z56MxWR03fqXYR/tl4/JVczzbjmkDb+7/N6dUTyzLgTa+oC05xOj7GOQYFKhS82aS4Cz95NFwWXhHVUDAXQ8oo+u4eCrBZDs7AZ+j6EWUvCgr7SWVj6mVKn7zzFjeRnktsVZtgIP+/Lj7Xfn7GZraQyNrjOdaKB2bmE7RZ+9quP38WAX0+IOufCC6M8pQrT/rmIVt/tF2VrCDvrXGcXgN6+m52v2e6q43ew76r4oufU7TT0XnKUr0XGWbTvBn7YfQ1dfzqCjWcfmJVabuj7BbSF2Pdc1lwM30sT/+avPJbuvHKE39c5wcyTXABBWJhe9/3P2noZ/ZYdw9ztV3H2bjp+PiTOQNAt0Dxl80WDGVKbzup3HLjPptOCQ2j93QG0+m4/VGoWlx9lYeuFx1h78h5uCYZxSgUcH2fkoc0PBxE9aw86zj+E7ouPYfIpcTCVCzYZcrIocPvXKf0hm28sPKJ3l18YlM7IVZr8DqTodqSO3kzBh7+fFi1befS20dd4UHT8c7OXzgBJFQal5OYFpYR1n7iZSmUMw++PxvZtLojmWJQh5WzH1ZTS76xsPqd9/78YmEEQAFz4oJTmO3ieYZ+6Q5WFlhy4ZbDuHMfY+U+lZnE31fTwtBQzO5LczZFClRrn76fzQTxjZ2BTAXBT+4G5HmXkieogGiJV06v5N/vx56l7/L9ZlsXJ22ll3qF9lm/8vL/1gnhYm/DmjKEh6cdupfId5LIajpyWXcDXdixuIOOr/y5hy/lHepl1EzdoSg4UFKpFWWUZuUqM+fMcLj/KRO0vd+LnQ7fM2s6p22l4++fjuJ5kaCi+dr8o7eFrb/4vDp+sjUfCgwzcSc3GaTOH7BZHboEK7608hX/OPcS7K07hzF3zt/E0u0ByhtSQiVvxjyBj3FydBDfoUp7lY8fFxxj/9zlRrUJdSpUaBYVqHL2pX2tTV6FKjWtJWWBZFsdupeK3uNsm69ztuZyEKl9sQ82pO5BhIJivVrMYtvqM5IQoxcGVndD17sqTz/W6eUpViYN8+YUqfPj7Kaw6fgc5BYUGb54RDYsEpXbs2IEaNWrgxIkTqFWrFmrVqoXjx4+jZs2a2LVrlyWaRMpQVp4S3RYeEQ2Zmf7vJXy3U3wRNHlTAoInbEHk9J24+eQZ9l1JNjgU4ty9dLSbdxCtvjtg1oxez+v3uNt4d8VJjFhzFlEzdqPuV7vQe0mc6I5u6rN8/H36vl7nKLdAhZbf7se6U/fQ4tv9mLjhPP++xv51DhHTduL0naclOlgdMVAbZd7u66KaH0LmFE2duOECwqfuwOk7xgsB77mSjN/i7mDJgZvotvCI0XUBYML68/hmh/6JZ/Sf8Uaf13H+IZPDYuQyRlSLaYROwdg8Mz5fU9kF5gzNMRa4ylOqkSO4wBZm3wgzH9INnLxzClRgWRbZgu/O0PcorBEkdMbAhZlUp173/e6+nISei48i9vsDcJQIlhjKRBL+To1NNy+c6Y/DfSfCO/aJBoo//3FMe4H9+cYLOHjtCSKn78T4v88hO79QNJve5UeZWHH0Nm49yRYNc8wuUOHq4yy8t/KUKNikW0Orw48HkfAgA19sTMDg5eKLnl5L4nDy9lO9QMIWQfCV8+HvpxA8YYvBWboKdYujCXCdI0PDH7789xIycpQGOyzCwKHwgjS3QIWPV51G07n7tOvq/K5X6ARF5u+5bvTfgOa4LcXYrJG3nmTz/6/8+VZRsfxxgt+EbiYbAJwTdI65gF2OShyA0S3CLvwchLN/Pssv1OtcZuUX6gVzlTqTAbSfdwij1oqPRfP3XEeHHw/xv23hjQmGAWZsuSxa/61lx0UBIcDwfs/hzrff9o6UfFz4Xrae1/9dCoV+sRVTNifAXiI7Ui7T1l4zFtjhOu/ORUEp7fA9/WOdbnDVEC6wxb1WdoGqxNlC3POknv/19it8EBqQPpfsuKhfj4czaPkJNPtmHzaeNV6LztCQcF3cjLOztl5B15+O4MdSuAm1Od5wJ7jx7D2iDBopajWLm5lAs28PoutPR5DwIEMvKC903MAkA8I6jCETt6L3kjgM/LV4xeKLa9mhRKPFvHXrqgl1l7juycxTou/SY/y/F+zVPxaWVJ5ShdlbL+PM3af4ZsdVHLj2BCPWnEWPxUclj/MXH2Zg8f6bot+1seAPdzwTTiYjNHpdPDLzCvWOUcLXFp7jey2Jw+EbKaLAgFQH/0F6LqJm7kbfpXGIMxBcKKnOCw6j+Tf70XPxUaMTR7Asi1Frz+IznVqgeUoVH2AUBkiVKk3WnDCrvseio2YFpjbHP0Cdrwz3d0euOVvsmTuFOvx4CB/+fhp/nrqPmK/3iTLhAc17/e/8Q4RP3YGwSdvw1rLjaPvDQQOvBvx16h6qfLENbX84iJCJW9F36TFM2XwRs7ZK/w4AIOFBBoasPMX/u9GcPXrr5ClV+Pf8Q2w5/wgL9t5Aux8OYuuFR5KBXGOBV2PHfUNP257wCL8fkx7u/OW/l9B5wSHkFqjQ9oeDqF80EqU41GoWVSdtx46LSfhiYwJqTNmBqpO2Y+aWSyUe5v+qs0hQasKECRg9ejSOHz+O77//Ht9//z2OHz+OUaNG4bPPPrNEk0gZeZpdgIhpOyUf+2nfDf7OxdGbKfzBITOvEK2/O4DBK05i0T5N9pxarYnMZ+YpsePiY1EApOncfZox2So11GoWvx+7Y/bdaZWaNXkX60ZyFiZvvoi9V5L5gryAplDq3B2aGhenbqeh3ozdGPfXOYxfrz2h5SlViP1eXHR0zYl7+F/RdN3c0ISei4+i6qTtGLX2LMasixfVEXmSlW8w8GbsLnJypnRkf8OZB3zRVG44j1KlhkqtKUA8/u9zWHPiLgpUavRcHCf5GlLO38/AVZ3OZVJmHt/2u6k5WHvyntRT+c6xsY6WqSK2VnIGHo7aoJTuXR9zbiTuNnAhxrfBjA6PsZNNQdHnzBFe4AjridwzMPtZ3K1U1P1qlyj4kq9Uo6a//qx3SQa+f0OdAanCv7r7xqRN2lR/qXpV5mSjbYp/qFdo2Riu4y78PrmAm+4wxv8dvIXgCVv07jL+eeo+Fu2/IfrsDV3E5OQXot+yY9h9OUk0zEy3DpVSxYqWPc7Iw86Lj40+5+YT/c9sx0XNb+6dX05IdhbWnJDeZ4TvwVBh8qy8QkR+uRPLDNzV5jogLMuK2n3oeopedoAwK1V3+J22rcazMUZJzOZmzIe/nzL6uLATL1V82twLv3tpOei39BgGLz+BqBm7+SwkrqgxoPmst0gEb3SPecJjBPc5bYp/iO0Jj/HzoVtgWRbf77qGy48y8VXR8Bip2QlNkZkYcsf99gLc7LB8cH10ifQXBZWEwfO/TBTuV6pY/BZ3R7IWnJVMxmelLt5vONudyy7iZt3jAkmG6iiZgwtwuTtY88MCdYeZGguMCHH7wvoz0p+FMHgmVf/ooz8Mz+bHDXscvc74ULirBrJJDPn1iOb8P7/o92PqvZY0g/phRh7m6NTz0vXXmQeYf1F7o6LzgsPovOAwn8VZXMIhu+YWpdeV8iwf+64m88dVQzczAGBYUeYWy2quIYWBBVOfq26H/06K+Hrtz1P3ceRGiujG065LSZi06QKCJ2xBxx8PmZ3pNHLNWfzv4C30WHRUdLw9ezcdbyw6qpdV1mn+YXy9/YromsFYiQGuGXG3pANxwhsInRccwtTNCaLjbP+fj6P6lO2ia1hAk92dkaPE0RspqD9TW2ieO4z9sOsa0rILcOxWGvotO2Ywq8YUrsTEFwaykCdsOC859Dk7vxDDVp/BpviHWHfqHjbHP0ByluZYIsxKFX7m5+9L/y56LDqK73ddQ2JKNm4kP+O/W+F3/MXGBMnnCr3zywlRn8MYU78f4aQmgOYG2fDVZ0XngTQjpVU+1QnUcfZe1t64eyoYQVKoUqPzAnFphZwCFR+wVKtZvLfyJKpN3o5P1sbz61xNysLHq85guqD+ZZ5Shbnbr6Da5O2YtfWyXtH9a0lZCJu0zWDbAUhm9n30xxlM3pQgOeLm1yOJSHiQiQkbzvMjCnZe0lwTsSyrd57R9eepe6j0+VbJx5YdSsQowXsmWhYJSl2+fBlDhgzRW/7uu+/i0qXiT0W7cOFCBAcHw9bWFtHR0Thxwvhdlb/++gvVqlWDra0tIiIisHWr+IfDsiymTJkCPz8/2NnZITY2Ftevi+90pKWloX///nB2doarqyuGDBmCZ8/KdyjZi+5heq7ROwGAJhjDsixfNFLXD7uv4WF6Lv4+cx99lx5DrWk79WY0A4CwSdvQaf5hrD9zH5M3JaD9vEPo+OMhBE/YghFrzmLFEf3gTVJmHrr+dBiR03ciM0+Je2k5+Oq/S2gyZy8u3M/gO7yx3xu+e/C/A7dQqFKLhpz9e+4hPvjtFHIKChE5fadexxQAvt15TbJNm+IfYsPZB+jw4yEM/PUEvth4AfVn7kbTufswZMVJ/qRRUKjG5E3GT2qDV5zUu8O390qSKONkwK8n0GTOXoR+sQ2VP9+KNxYdxZ8Sw1TM1W7eQZy5+xT3n+ZArWYRPWsPms7dh35Lj6HZN/uMPvfAtSd8VoQUU3WUZAxjdKiTOZJNpOhKZWPokhoGxykoVIuGzXAXkPmF5t/hf5qjxCrBUIz8QnWp1BGTunu59KB5Kfqcx2bO0PPB76eRW6DCmbtPTaZFc1ljTSp78su44rRNvt4r+RypadWvPs4SZSMaujBPyykwenEmJPx83v/tFD74/bTknXPAeIeIU+nzrXhv5SmzOyjc+zFV32zWVukOJZe9ohuoPCcx/EbYMTT0HiduuGD0t2jO7ItCXMDOHOskAt7m3tlsOncf4m6lYt9VTZB+6j+ags9Pc8S/g60SmW6Hb4iPsYayLT/64zRmbLksutjmZnEU1tIxla3Jkcq647AsyweB3O2t0bKqNxb0q4MtI5vy65SkKLhUZ+54YprBrAoh7tjJHaO5wtIFhWrkF6rQMcK32O1xKRqayDAMXIv+1v38dGcUa1TJQ/K1uCGkhj7/nYL3WFZDMJ4UdYIbVnI3sSYkh0N9YqKjM2/3dbPqEXIquGmDkLsvJ2G5xDULZ9mh25LLhZkS5jp+K9XkDIJrTtzF0ZspyM4v5H+Xqc/y+QCJSs0iasZuDF5+kp/g4luJLG0OFzh8b+UpTN6UgB6LjiIpMw9LDtwUDW2Wont87fKTuDP+JCsf/X8+jvCpO/DdzqsInrAF7/92Cn8c05zHLz3KxLUk0/2He2k5ot+hrvh76Wj13X7Jx4QztxoLSnFBA65txiQ8yMTKuDsI/WIbv0/E3dJkOXX48RAGL9f2xVRqFv1/OYa3fhZf6/9yOBEX7mfozWj7x/E7yMpTIj2nwGgWm65eSzRD9lYZGK567FYapv9zUbSMZVl8sfGC6EbMJ2vj8cbCowA0ZSY4M7Zc5oOcUtcZnPl7rqPlt/sR+/0B/BZ3Bwv33UCDWXsw9I/T2Hcl2eyJU0b/dQGJErHqxxl5OFJ07jl9Jw0hE6UDIJwnOoHTkwZuTkoxVgeYu/Q4kZiGOl/twuiiG0/CEhNC2QWFeJyRh6iZu7H7suFaT1zwT6lSo+HsPVi0/ybyC9VYevAW3vlF+7taf/q+0Qwvzowtl7HtwiP+RpPwODhhwwXkKVXYcv4ROi84JLrRJMwgnbL5IoInbEHIxK2InrUH607eReqzfJy8naZ3zSbVTxXacuFRsW7Ovi4sMvuel5cX4uPjERoqnh0gPj4e3t7exXqtdevWYcyYMViyZAmio6Mxb948tGvXDlevXpV8raNHj6Jfv36YPXs2OnfujNWrV6N79+44c+YMwsPDAQBz587F/PnzsXLlSoSEhGDy5Mlo164dLl26BFtbzcxO/fv3x6NHj7Br1y4olUoMHjwYH3zwAVavXl3CT+Xl9iy/EPYKuWgK9TEmhmRxJm4wXlel8Zy9qO6nzQQxdNF4NSlLFM3nsin+PfcQ/557iJhQT0xYf0Hyrttby44h4YH2zg53UWHO1OgtJS4Cdl5KQo0pO/RXFtCdCUuX7nCNPVeSMWVzAhpX9jR7mtOJGy7gnYZB2HUpCanZBZIp+MKgmaEMiOLoseio3jLuQsWYgb+ewIfNK0k+1izMy2TwwkomE9UaMsRWITMro0cKl+FmjFSRYs7d1BzR7/duWg6qeDuKhoYUV36hyuTMSiWlW0enqo+T0bv5pmbnE9p1OQkj15yFnUKOy1+113uc2xZ3sSu8MM3KK8Tm+IcGs8GkyGWM6K6goWGExgKjuoQ1Ki4YuJt+9EYKGlfxNLuI7+7LSchTqmGrkEkGtIWuJmWhkpdjsYM9nH/PPcS8PrX1MjF167EB+jWlDOm+8Ai2ftLU9IqlzEMwdBfQz/4qLpZlkZYtPtfsMVIw1cnWCll5hSYDs7rDHv8991AUfJtu4rzAufUkG5vjH6Bbbf1C+HlKNd9ZsBcE6kM8HRDobod7abm4X/TbKk4tGqnfmbnFublgJTd5gHD477O8QhgZpWqQs2DGNFsFV+zc+LF0ydv1EPmlJnu7up8zn9HB7QO2Vqbv1a45cQ+9owJRu4Kr6JrHHAevPcGyQ7cw640IuNor8DRbiYoe9tgc/4DPimxUyRPHbhnvNLbR6YiZW7do8f6bGNE6FCzLgmVhtP1eTjaiY8H0fy9hcJMQvfVUahZ3jJRRWHX8DvpHiycxcrNXGCwY30cw9A3QZNPcfPIM60/fx7sxIThw9Ql/3ejpaAMZA/z1USM0/2Y/6gW5Yf3QxvjyX23g4ZO18chXqiWze4Uy85SifTx6lv5wIynCrAlT1ymGsiJ7LDqCi19qzoPzdl/DrktJWPdhI9F+IhxObbgt2u0LrzWEE5P8bmCGRkA6A9ocX2xM0BsqzAX5OcJrbCHdIB4AfLPjqqjUQ0wVT1jJGSzoVwdOtgpcT8rCzK2XMSo2DLWLZoZNfZZvcpgpoMkMvfQoE8sGRMHf1Q7T/rmITRLDVx+k52L83/rZjf87eAsDGweZPD9zpgqCYNsSHmNbQvGCEVvvyfBmVj783RVQqtRYefQ2P3zyw+aV8L8Dpm8e7r2SjJ6Lj+KrbuEI8rA3OEvnwF9PYMXg+vjz1D1U83VGmI+T0eSCx5l5+PSvc3y27ab4h4i/l47bBmroLS/KQDLnxp9uwXKO8Bq0OBMxDC3Khrw2o4No0pcTiWmoNlk7eYHuzN6GaGrbavtiY9uE4eOWVczOzv3g99OY0yMCfRtUNOt4/DqwSFDq/fffxwcffIBbt26hcePGAIAjR47g66+/xpgxY4r1Wt9//z3ef/99DB48GACwZMkSbNmyBb/++ismTJigt/6PP/6I9u3b49NPPwUAfPXVV9i1axd++uknLFmyBCzLYt68eZg0aRK6desGAPjtt9/g4+ODTZs2oW/fvrh8+TK2b9+OkydPIipKMy3vggUL0LFjR3z77bfw9/cv8WfzMsktUOHfuzJ8Mlk7PK9WBRd81r4a6gW5mbyo4hga0iWkmwpcEsYyngydLM3pZJtb/6I0/Hf+kdnpvABwJzXH4Nj/F9FOA5kRBYUqk3d45TIGVjLTHYqqPk4m73waYk6mVEau4ZOtbiHvIStPYXCTYAxoFFyi9gCaTCnG7Ptu5tty/pHeHdXiDi8xhituL8wsc7VXID1HiV2jm2HGlsu4mpTFD9vUDSSac/HJBQoATdaNv4st/9jzDBsqjrd+Pg4PB2tM6lzd7OckZ+Vh4oYLBgt3cr7YmIBQbyezXtNQseB/zj2QzDLSlVo0VM5UMdpLjzItUsyTYRicSEyDQs7Az8UOnRccMrtGj5SJGy6gbpCb2etXcLPH5UeZmL/nOrZeeIShLSrDycYKWSaKNOvWviuOT9bG80EptZpFYmo2Knk6iGrO2SvEdaC489XEDRfwZlSgKFAbW93b6N3r288xOxqXwcLVP9McrxkUqlkoVayoHpXwZlBUkJvB4VvcEEBAc7MB0D9O6AbsXewVWPhWXfxz7gG+7R2Jt38+jnP3M/ii6VZmTk/fY9FRjIoNxajYMLPW5wwoqo80/u/zuPgwA5l5hfigWSVR1qWddfEHMfxk5hDQ34/dwUctKmPw8pNIzS7Av8ObGHzPConz6eOMPPgKjqMA+IwNQ77YmIButQOgkDP85BFckHJBvzom9wGWBZ85tUhniCgXFG3+zX4AmhsF/ZYe07sRNn79eTQN9YQx5n6Gug7fSEGhSo3ElGy9YKG5sgtUeJSRCz8XO7624oojifioeWVYyWXFKpZ+5XEmKns5oqEgqJaaXYDs/EKoWFayrqfQ2WIU6+b8ffo+6hXjeFlcXEZqxLSdSJzdEf1/Po7krHwcvZGKKV1qYMaWS8W62XjxYSYaz9mLle82MBigASA5cuDr7VcM1kcsC9cyZGg89wASZ3dErWk7RddM5gSkOKfvPMWHf5wyes1w4NoTbIp/IDmZkCG6w78NBaQAYOG+0pnQLCNHKZoUoThMDfUrqe92XcOjzDyzZlXmTNhwAQyjuQF86s5TzO9XB5m5StQOdEVNf2e0/u4AbqVkY0SrKhjbtmqZtPtFYpGg1OTJk+Hk5ITvvvsOEydOBAD4+/tj2rRpGDlypNmvU1BQgNOnT/OvAQAymQyxsbGIi5OuhRMXF6cX+GrXrh02bdoEAEhMTMTjx48RGxvLP+7i4oLo6GjExcWhb9++iIuLg6urKx+QAoDY2FjIZDIcP34cb7zxhtnv4WVW66s90B0Bev5+Bvr/LD0UjxBTPB2tkZiSDU9HG3HhZaXaZH0YKzkDKzNmkbJR6BfrNcTBWi4KRJkTpDRUpByQrnuz/Mht/GbkosiUfKW6DEJSwLDVhmuklAbhHaGcgkLYW1vxs7PZWcv5zuvEDecREeCi9/3rZpxIqRfkho7hfnydt4eC4VzGiteWttTsApP1ZIS4DpY53lp2zPRKEAf/941rgZbfarZhbrvSsguQ+izf6NAPjqkp1stCYsozvPk/zQXvB80qPVdACtB8XubeCQe09afyC9W4+DATw1eXPNhUEpM3J2DV8bv4omN1tK3pAwCwt5YbvPPKHcuE+5XU5AVChophv980BMsO6Q/tylOqMHHDBbSp4cNvx1pwjJYXBaUK1WrRzH3CGQOFx98wH0dsHhaDGVsuQSGX8UMAAcOZUsKAyZK36wEAOtXyQ6dafgCAmFBPnLufwQcPhYEuU+btvl7soBRHGDTRHSZtb138S/P918yb9jw5Kx+hX2g7ZTefZIvq5PSsW4Gvq2Wj0A9KNZy9B3vHNkclL0d+2QAzCpFHTNuBAFc7HPy0Jf49/5D/XqOCSz+QYSgz29Q1RHGHqwv9c+4hxvxp/jFeSqPZe3Hg0xb8v7/deQ1rTtzDjtHNED7VeOa9UPt5h7Dwrbqi4MXGsw+wUWKWUylvSGS7m8PUqIfS0ud/x/hSCwUqtajWZXGZk/0uZbsFhl69t/KU0fIQ5niYnmfyRrq52bqWxGW7vmiKE5DiCAOAhoaELth7g4JSZYVhGIwePRqjR49GVpbmzruTk3l3e4VSUlKgUqng4+MjWu7j44MrV6RraDx+/Fhy/cePH/OPc8uMraM7NNDKygru7u78Orry8/ORn6/tZGdmajJzlEollMqSFfQj5FXDTb9ur3OnODOnwOQFJatSIV9pOvvFxszpzwHzMqN06dahAQAHGzmy81UGa9wUZ9ibrjwzh+993qEqZm3Tv0OqkDMmi8iXBWHR6AYz92Byp6r83XMFwyLlmeazUqpYtJt30ODU9sYoZAxc7aSDkNwkAy8j7vcEGJ/xTIgrqg0A9lZA81BPHLhufmCuQKVGvRnaArVclouU60nPn9laXMIhcAVmHAfMcag4n08p1HUrCe76gauh8u3Oq6jsqakFpFKzetcXHzevhEUHbqFzhC+USiVy8rTHK93j7sxuNfDFZtMdlNZVPbHsUCIqutuJtvfzwUS+M9wnSpPRJWO0bbaSM8gvBPIKlChUaY+1SpWaXyelqM7SpqENUcPPCQyjxrTO1UTvHdAWHf771D00raytyXTmbjr/d3Ufe73Pw7ooaJeTr7kWY1jN9+hgLceqIfXRfbE26Bsd4oZTd9L543Wgm12ZXL8pC4v/+zWU7W3K9ccZogD/5+1DUTfQGRXc7HDhQabkPjB5UwJWDKpXrO2wrGZYcJsfDogmfOA+7/LAZe93j/RDWk4BDl4vvVnebiWXThax7g2JB+m5xQpIccr6ppIl6WacPw9T2cgvEmPDx831vDdWieW8zLECc9tukaCUUEmCUS+j2bNnY/r06XrLd+7cCXt7ewu0qDRY/OdDXlF5OTlQyAClWtNhePA0G7ZyAEZygo4dO4qr6QwA45lQ6alPUJw5HroHqbDpjvnZVU+z86HbTmd5IbLB4E7qM73HnhfLgs8wMmRWVCFS71+E1D5bXgEpGcNCzUq/92f5hfhsg7buwsG9uxF/T9xWQ/VHjElNfoyLZx/iRTpW1XJX43xa8YfnyMCCy4nzs1HiRn7J5ynZv2c31Jky6O4HzXzVOPjYvNe1ZtQoNPBb3nDW8PTy5WFFXPHvVj4vK7X+fl8ehi3Zjk4V1eB+42qVCu/+pumQ5heq9SZySUnSHCPv3H+IrVvvIz0f/HMf3bsL4W8i5855mLPvHD8WB8AKz7JzRNs7kaj9jd26cw+ADLeuX8XWHM1NQ7ZQDoDB3n378ThZu25evpJ/ndRszTrnjh/GHRtjrdC0c2tCElrab4W1HNAc2rTt379vH1x1XiPxoebzuHH7HrZuvYMzKZp/+9sqcSf+MIZWZ7D4sub4L8tOxdz6apxNZfDHDTkepefgn/+2QlOGSv9zCnZkcftZ8X8TcWcvoVsQi83FOO+U1P7jZyA8Z+7fswuOMiA9GfBTA50rMvjvrrgdD5JS+O/niuCcW8dDjYbeLPY9ZNA+UI1nSgY/XxU/V3cG0gN7dqO8j8/e+ffR0pPFweult90jF25A93ha2YlFx0AVFlwyvh1HBYtnyte7lgwhxDjdc/nLJCfH8JBOoXI7E9StWxd79uyBm5sb6tSpA8bIrf0zZ8yL8Ht6ekIulyMpSVyHJikpCb6+0jO5+Pr6Gl2f+39SUhL8/PxE69SuXZtfJzlZHLEuLCxEWlqawe1OnDhRNGwwMzMTgYGBaNu2LZyd9adzfxnUbJCF2B+lh0kS8jxcnZ2wtGc45my/imOJT1GgZiCTywAYvqvaLCYGzPUUbLlnvC5EcKA/Ljw1P/X6m/c6IHnFKRy9KX13Tpi1AgAqicBLaIAnHl1PlXxMKMjd3mjB2JJq364N7qbl4rsL5g31KgtejrZ4MyoAC/YZHyLBMEC3zh3w6QnjM3cK9ajjLxkIqRQUiPZNgvDjxZINR3geb9YLwJ+n9bOxujeqgRW1/XDufiYGrzxt9uu5O9rwQ9LS1bYASj48rXvnDngadweHtouniK9VrQp6NXfEyHXaCSN8nGyQnqsU1R4CAFdHO+SYObudpUUEOONCCTNJAKBNdW/sMlJrCQACvNyQJMjKKS87H8gwoU8zIE5TLFipc4zp2LGj6N/K+If481YCnN290LFjPdx7mgOc0Ty3SuVK2PfoNr9utw6xmBm/3+j2q/k6oWlMDfyQcBzWNrbo2LE5/9ipLVeAx5oAobevP/DkMSLCa6BjI03R6+nn9yEnW4kmMU2xN+MKkKHJlGVlcnTs2A4qNQt1nOY40KFdLNzsrWHIJ3Ha4RzxCMG0jtU1ExEcO8kvbxPbGl5O4qhUxsl72HTnMty9fNGxY20ozz0Crl+At5fm8/FITMPiy5oZ5Hz9A9C1cwQ6qVn8MXUXClkGTVrGwsPBWrR9zqZRrdFt0bFiH9NDKlVGnUAXbL4TX6znlcTBFHsA2iz+Lp06iK7PuwJ490EGeizRlmW4/YxBw+axKFSz+GSudpa8rkFq9OncBmMUmqzWtOwC/Dxnv9Htd+/cAYG10vHWLyclH5/3Zi2M+tP4TFbFFVG7LtrX9JH8zkrqbKp+MH/7+HZgWRYLphg+l8llDM5MboMwI+sI/dA7ArUDXdHy+0MlbmtJvdOwIn43Y1Y+c5lzXG1c2d3gtZcxAxtVRMuqXqgb6FpUaqR8jImtgu93l6w2WWkI8bBHopGaTs/L2kpWoqzgGd1qYJIZWbevmz5RFbBOom7Z5E7VEHczFbuvaAqy//xOHTQP8yrv5pUabnSYKSW/1VpM3bp1g42NDf+3sf/MZW1tjXr16mHPHu0BR61WY8+ePWjUqJHkcxo1aiRaHwB27drFrx8SEgJfX1/ROpmZmTh+/Di/TqNGjZCeno7Tp7Udir1790KtViM6OlpyuzY2NnB2dhb9BwAKheKl/S/I0wk/NirE6c9b4vrMDrgxswP+GxGDhOnt8OeHjYpVm4G82gLd7UyvJKCwkqF2kAdWva/dj00VsbSxVgCM6UOaXTHrdSgUClhbGb5jbWdGjarq/i5mbcvD0XCn63nYWFvD1kZ6+FtMFePFXwFNnZHnZa2QYWw708W+WVZzbDdXu5o+GNYqVPIxO2srVA9ww/tN9WeMKguu9grsGt0MW0c2xfvNKkuu4+5oC3cne1gJflOx1U3POssVYgbAFws2JMjDePatjY016lTUn3beyc4a7SMC0DTUE10i/dEszAsL3qoLB4laQ462Vvi8o2YYFVefp7x82a1msdYvKHy+bEBzkgldjQRMSqqarxPm9altcr1W3+vPXsXRPW872mnamV+ohkKhAMtof0uMTmFrDyd7bB7WxOjw4M/aV9Mce6GZHly4LWEHlhsGZmstaA9XYFsmh7AyXqFK0zbItG2zt7Uxej3y54fac8WqE/egUCggk4t/tzbW+s9ztC36PFSsZptF5xCFlQwKhQIV3LW1k1pV94VCoYCtjTWsi9qugmY996LZH5cNiELXSH+sfi8aro52ODC+peEPzwAbhRxyK/POU87PeZ2VrDNbnLW1td5nVDdY/xwRPWc/DlwXBwucFeLv38PJ+Hl/do8I2NhYo3Go9PFvUONg1AxwlXzsm161+L8Pf9YSnSLMPwblKou+azO83zQEDULc8W3vSAS4mn8dU9HdXnPtYG2NmW+EG1wvbmIrWFtb48zkNma9btOqPgjxdsbtOZ1w/PPW8HXWFp2f0d3wdkrDRy2qlOrrxYR6Gf1Mm4V54eue2hn9Pm1nXk2dN6MqYHq3CLSo5gt7W+njso+z0bTLEmtW1cf0SmXEw8Eam4bFlOi5P71VB53NOI+v/6gxmlTxKPbrezjaml5J4K+PpPvw5WX3mGZInN0R56a2RccI6WST0uAn8fv/ZWAUhjStjJ8HNcDtOZ1wa1ZHxNb0t3if/3n/M0e5RQ2mTp3K/z1t2rRSe90xY8Zg4MCBiIqKQoMGDTBv3jxkZ2fzs/ENGDAAAQEBmD17NgDgk08+QfPmzfHdd9+hU6dOWLt2LU6dOoWlS5cC0NS7GjVqFGbMmIHQ0FCEhIRg8uTJ8Pf3R/fu3QEA1atXR/v27fH+++9jyZIlUCqVGD58OPr27fvazLwn5GynvbgMD9B0vhuEuOPCtHYGp/QUslXIijVrhiEjWlWRnG738Gct8f3Oa8grKoA6vWs4/jx1T3IGkiVv18NHf5ifvWBMVR8n+LnaYr/OtLicH/vWxidr4/WWRwa6omO4L2Zvk66LVlxtavjg847V8U/8Q8zbcw3FmAH8uf35YSPUDnSFtZUMuy4l4f3fToker+zloJfOD2hnQJLLGNgp5CaLOzIMEOBmB5UZb25vMcbl16qg+T0bm9XPVIAA0J+u3pDiFLjtUScAJ++kmTX7o1zGQG6gZ+ltxsWZbnaBu4O1WVP6CnGduDoVXXG2FDNK/vdOFDLzpIf2cXWovuhUQ7IQc2kLcLVDqI9mSPo9A9kRznZWRW3T/ib61K9odNYzQDzsJbqSu9GaWHfMuFPq6aT/vSvkMlhbyfD7EPHNFXtrOdJ0dlMHGyu8F1MJjSp5oqqvk6hGmDkOf9YSLb7Zb3ZNrEmdqvMziQZ5OPDLa/o74+JD43fhavg7P9fMkVLHjKXv1MMHv2vPFTZWxbvHZ+jYJ1Snoiu61wlAek4BpgmKzw5oFIR1J+/pZa+ZgysIzh1ThXe9WZ3jp1zGIDLQFV92C8dkI8WEudnyjNUr4Wa7FBY6546rhSoWJxK1AQ41q5lNUFhUX2GiFmCDEP0g66Z48T4ilyj6zt1UyCsaAn26aKY/btbOYE8HzO4RgSdZ+aJOm41ChgKVmp8VjTseBrrbYX6/OkbbasqgJiF48NS8IvsjW4eW2gy7xQ0u/31aPPuV7i5gJZdhSEwIfjksfey1EnwfPeoEYINOIe5pXWsi9Vm+7tMAAL2jAmGjkMPFToEKbvZY2L8uRidnYeCvJ0UTFFTzdcKVx+J9v1XRTYBOtfxMHrfGt6/GX9+2D/c1q77Tualt+dkgAeCNOgH4YqP+/nNqUiw8HTXHYXczrhE+blGZXx8AfJxtcXRCKzAM+Oy2JQdu4r7gt/Nt70iM+0u6AHtMFU9+VrsPm1XC/yQKvQs/P19nW7Oux4wZ374q5m7XXnuvfj8ab/9yHLHVfdA/uiJ2XUpGo8oeqObrxB+r9o5tjtup2WhVzcfkzIEAIBdcr8llDD+rLycqyA2/DWmAGlP0v8vdY5rBw8EG68/cL/Z+taBfHURWcMEbdQLAMECYjxP6NaiIyOmlW5R7RvdwONlaifoPFdzssGdsc/46y1znprSFS9F1kqGJLDjtavogooILVr3XEI8yctFo9l6zt+Nm5jUwoJmopH6wO1a/F423BBNnjW0Thu92XTPyTH2nJ2kybPdfS8a7KzT9j34NAhEd4oGf9t0wOItzRXcHMAwDFzsF3mtaCVsvaEZXVHCzE+1fz8PJ1goDGgWjeZgXbKzkePIsH7UCXPQ+K0OTlbyKLJLKUqlSJZw8eRIeHuJoa3p6OurWrYtbt8yfAaNPnz548uQJpkyZgsePH6N27drYvn07X6j87t27kAkOUI0bN8bq1asxadIkfP755wgNDcWmTZsQHq69wzB+/HhkZ2fjgw8+QHp6OmJiYrB9+3bY2mojvatWrcLw4cPRunVryGQy9OzZE/Pnzy/pR/LKOvBpC6MzSc3uEYHe9SqgimA2GKG3oivis3bV8CgzF+k5SvRdanj40di2VTG4SQgSHmTws8EEe9ijgps9vte52zysZRX0a1ARWy88woP0XJy+/RTLBkaJshEA4PrMDkjOyse1x1kYvEI6vdyQ3lEV8F7TSvjz5D1+9i+hbrUDUCfQDc2+2SdavnlYEwBAWk4BP92rTVFHcf6e65jWtQaGrz6rd6Gly81egc61/PFV0d2zT2JDMbxVFfRcfBR5ShX+GxGDtOwCyGQMLtzPQH6hGpvjH2BbwvPPKjK8ZRX0jqog6jy2qeGD23M6AQDuP83BmhN3MbBRMN5YdFRvliuF4CBsb236IsjB2grOtgqT09UDKNasXFwfzcrISUG3IyfF3AsFe2vza4hM6FANQ1edMT8oZeA97LyYJLlcSLfI+KDGwfB3tcP3O6/yM9o521rxHU8pHkUX078PicY3269gZdwdtKnhg12XxNsvTlbWwrfqAjD8+Vb30w6N/rhFZWyOf4iJHauV2cxowuCIoZnMnItmDAsPcMGn7aqigpudWbNGCk3qVEMvKFU/2I2fKMAcUkEUQx1/qffiaGMFmYxBRAXzsgCFOkX48cdlQ7PN6OrXoCLfSRC2x1RAatfoZvB0tIG7gzWiKrpgb9xp9GjdELUreqD6lO3FbjunbU3x3VNDhwEuaDa7R4RodqrFb9dDgKsdtl54hE//lh6eNLGjJrNQeJHarqYPvuwWDkcbKyzab3zmqF8HRekts9MJSh26rr1pIjx8CocKOBg5LrFg+eNjanYBCgrVsDYSoBNmqnLHpEK1fnAtv1ANpSBgpjByY8AQ3ZmQGImaX7bW4s+Dm4mOC04Bmt+e3vMUcmTlFSJPqcLFhxn8cqkbGMLZLs3h7mBtVpBicJNgvN0wCNeTnmFdCadH5wxsFITp3Qxn2qz7oCH66Fx/CYvIrxoShZRL+tdnNfwMl6cI89HWlP26Vy29oBSgOW8sGxCF/EIV/FxsMXnTRUztUgMA0DVSfBO4ircT3m8awgdwP+9YDR80q4zR6+L5mecCXO34wM4Pb9Y2GZRSCM4tpmanBDRBSd3rSHtrKzQL88LBa9p97ZtetUQBJnNU9dWvwavbYV34Vl10W3iE/3evehX0glJ96weiV70KiAp2R1aeEqfuPEWTyp6SQalOEX54t0kIagY480MNR607K5pYojg+aFoJB64+wfHENHSI8IW3ky0OftqSD6pV8dZ/j5W8HPnZHjcPa8K/v171KmBypxpYdOAGf63sYqfA8FbajC6GYXBsYmsUqNTIyFEi0F2bRXx7TifRjfPOtfxQ2csRDMPgvaaaGVyXmJid74c+kRi97hw6RviiS9Hv8Qed/ka9IDecvvMUPeoGYEhMCKr7OuN68jO0m3fQ3I9N5I06AXCwEQel5vero3eD1NVegR2jmiF6lvTwxTk9IviAFKDJUOXcntMJm+Mf8NsI9XbEN721WWt+LuZnDTYL80LtQFeT6y3uXxdNQj35a6TGVTwxslUVzN97A+uHNka9IDcUqNSSyQdSPB2t+evOVtV8cGh8S9xIfoaW1TRB6RZVvfDWsuO49Eh8DXF2chvROaxuRTf8+WEjBHnYw8fZFinP8hElmPSF8+ugKD7wZUiHcF9sS3iMMB9H/DsiBjZWcrOO9a8LiwSlbt++DZVKv5OZn5+P+/f1x1aaMnz4cAwfPlzysf379+st6927N3r37m3w9RiGwZdffokvv/zS4Dru7u5YvXp1sdv6ugnycNC7GOcMbVEZvetVgJVchgBXO73ARL0gN8zoFg6ZjOEPnLp3xX8ZGIUhK7UHAXcHazQL88KtWR1x7FYqavgbviByd7DG2w2D9JYv6l8X4/8+j/n9akNR1DZjKcb1gtywfHB9pGTlo9V3mvoKU7vUwDtFr60bDKjk6YD/vaOZuaaihz3eblgRf0iM05/YoToquttj0qYELH67LhqEuOOP9zQZDL8PiUb9mfoHRc6OUc0kL2DkMgYbhjYGW/S3d1HqN3eQbh+u6WgV9y4IAHzYvBJq+rugeZiX3kWZrgpu9vi0nWboj5eTjd53L+yk29vIkVqUUGBoPDu3vjmZUsXBgtVrj66HZtTVMTb8T8ici15Ac+Hl6WgjCmIZu4MpZwwHpZ7lm57pSbeWywfNKsFWIcfRGymSHQkpgW6ai0FHGytM7xaO6d3CcfRGil5QKroo48HQfiHkWTTcUWEgKGUr+HzGt6+GT9tVBcMwZgWlbBUyFKpYeDra4HGm9jv+qrvxrBGOm4M1qng76t2JcxbsG8Naai6e85Qq+LvYmvVbAqTvqs/oHsFf5E7tUsPktM5SGX6GPkepYKmDTlbftk+aYvS6eL1gudT7mtpV06k0dZzQbUNVHydk5SlRTeLYBkCv4/d+0xA+c21y5xpQKpUoSGQRFeQGhUIumkHQ19kWjzPz0KSKB47cEM/INK9PbYxaF8//O7IoELf6/Wh8+Ntp/NivNtzsrSWnCf9jSDSUKjW8nW3582BUkBvfIe8S6W8wKMVdnAsPa1zQo0ukv8mgVKtq+kNJ7KzFmUGztmozcpuFefFZLSGe2hsKpjI4ZYIszH/OPUSvehVw5bF0sFAY4OaOq1IZXxm5Sn7YoJWMMetu8X8jYtB5wWHIGOnZEKVGdwuDdOkSM6cawmXC5CnVos5cnsQxWPhZPq8Z3cNRO9AV2xMeY1jLKrBVyDG7R8RzB6WaVzVeryS6kgf2jG2O1t8d0HusWZgXGgS7Y6vEIUctcU7uVa8CGlbyQKSgo2rsxk+bGtrf8dZPmhptZ/twP3y38xqCPO3xbhPNsO1BjYP5oJSfi/bmsrHgqSH/DG+Crj9pgiLNw7xw4Jo4E37WGxGSz/PWyUztHRWot47wWrlzLT/8pxMw61zL9EiMyEBXbBrWBN0XHkHTUM2wSy5brZKnA77uVQv1g7VZhU62CrSsqrn+2/BxY/RYdBRu9gr0jgrEicQ0DGwSzB+HAM3x43/vRJk1CkLXP8ObwEouw5r3GyJXqeKHhRurMSz1/s5Pa4v9V58gtro37K2tMLFDdQxuHAI3BwWsZDK9ax1bhRy2CrnofXCWD6qPeXuuY8nbdfUCLRXdjQ+DB4A36lRAZAVXo+uufj8a6TlK+AiGWlb1dcKX3Wpi64VHCPNxwm9xd0xui8N9bjPfCMfvcXewfHB9ySDRv8NjRNsUiqzggr46wXbdSW+61Q7gg1Lj21eT/PzM8du7DQBogkCGRo4AQAeJIbhj2lbFx0XHOUBzzeTnYofPN+r3KXXpHnoC3e1FQUlXe2usei8adb7S1nMbHRsmmdUlzMT1dLTRy+J6K7oiWlb1RkSACy48yNB7Pmfx2/XwLL8QNlYyg9dbr7NyDUr9888//N87duyAi4v2DqtKpcKePXsQElI+tT9I+enXoCLkMgbjdS68P2tfjf/73xExSHiQgYgAF6w7dQ//xD/Egn519C5Ef+xbB2P/jEfnWv7oXicA3MO6dX1kMgaNzaiVI6VjhB/a1/Q1ehG8ZWQMnG0VuPAgA02qaCL7zrYKLOpfF2nZBaJgV8cIP/zv4E042yrwbkwIOuoceL/qFo4Pm1XG2pN39S46+kcHoVe9CnodSC8nGyzuXxdDV0lPCmCsnpc5F/fFuQsCALdmdSxxiqlUh1f4foWdX0cbK6QV6nccuI4aF/gwhGE0Hb2M3OLN5GbsgvnjFpWxaP9NNKrkgbhb0tMLGzv3CAOt9jbmBa+Of94aMhkjyhAyllEmM5Ip5WhjZTIwxQ0543AXCFmC55k6wUr9JhUSnYKcAs1rTulcE4UqFmtPGu5s2RS1w9B70z0uGLv4bVvDBzsFAbKOEX6Y0rkGDt9I4YNYQR72eKdhEBys5Rjzp/6QCE+dmmC7RjdDeo5SdNEjdWFnq5Dj4PiWeOvn46JhTObydLRBBTftPlu3opvBdbksAxuF/mevVEkPBzNUU0qoup8zfh4YhZivtZmfn7arivrB7njzf+IJMbj91Zx6ZoBmaAnDMNgyMgYsxPvj929G8t9Fs1BPPijVMcJXdI6R4uVkg0dFAbN/R8QgMSUb9YLcUG3yNtEFum6HcnSbMABA48qeuDC9ndFtCC9w//ywEXZefIxxgtoohvYbYUdcpOitVzeSgWIMt088zMjDXZ1hns1CPdGttj82xz/EoMbB/HJhsJxhxBf7dQLd+KFuAJBbtP+mZEkHeITHdm5Icb5g+L6NlQz5hWqk5xbwx36ZmZ3Wmv7OfHD+zF39rEGpfY8PShWozBr2yrEteh/5SpUoGFnF29HQU0SiQ9yRXVCIhGIU4K/s5cBfT3GlEgDN8X1ih2pmD/mXMZpMzfP3tZ0nYVazIYaGqOYZmf1V91qipr8zvhVkXHCKE5gwxtfFVm+fFAa/7IqRjXxsYmu9ZREBLoit7gMXOwW+ezNSLzhjaAjrhA7VcOVxJgoK1fhlYH3Jdfo1qCjKyouscAszt2qHkBk6z+mqHeiKQ+Nb8kPzJ3WqjlGxoXAyEVSoW9GNz2YvrlBvR2wf1QzJWXmSNzT/HR7DZ9XKZIzkOcVczrYKvSw5X5fi1SzitKzmzd+U1SUVUBXisrq5LC5DbKzk8HHW/90NaBSMAY2CceDaE6NBqVrualxKl+sNde8fHYT+0fo31rd90hRPcwpEARhAEzx2s1dgc/xDvN+skt7z3m9WCYdvpKC9IAv4t3cb4Pz9dLPqXgpdn9kB3+68iuah2mD3isEN0PaHA7iWJD1kzhBbwXWcrUKOt6IrwsfZBhceZCAqyB1v/3Jc8nnm3KIW/g7n9IiQDBZLaVzFE191q4nJmzWzRnPB6HUfNkStaTv572pQ42C0qubNj94BzL/5/Doq10+Gq8nEMAwGDhwoekyhUCA4OBjfffddeTaJlJM3owJRxdsRN5Of4av/LmFuL/FFCZfhBAAfNa+Mj5pLFwmu4u2IzcPFhfxOfNFa76798zIWYJnRPRw1iwpX6x70dQNOgOYiaOfo5nrLOQzDINBdmzmky1DNovbhvlj7gWZs95TNF0Udg9L4PP4bEYN/zz9EkLsD2tb0QdcFh/mMB2EtAuD5xjyPbB2KozfFwRxhBoXwItLBRr+2DaDtpPaqVwEbzjzAidvSHXuFXIbvekfivd+Mp9hGVnDBufsZmN5VU1DZykjAZUhRoNFKzqD9POkZcZIypetiAOKsF2GnycGKRXah9OfKnaTTBcE1dwdrpBqp82TogtbeWm4yKCU8cQsvmm+naL8MU50KqSCI7jVfgKsdnwJvbSXDjO7hcLCxEtUkGdk6FPP3XAcAOJoI4plT5+er7uHIylPiw2aVMXLtWX44x8ctqsDV3lo0HIcLIEQIOoT/Do9Bl580haar+YoDBQzDwM3BGj8PiOJ/c7oBPo6VXIY5PSL4bEtdXC2DMB/NBXCnCD9suaBpayVPBzjYWKFWBRekZOWjmp90JhGgDWZIfTYFBip6SwUUpS6sKugEhbPzCyVr/XC/RbmMQd/6gUYDjwDgX5SpKtwPb8/phKfZBXBzsEZMqCcKVSzi76Xzj49sHWp0vwXEwQ4vJxu+dtrWkU3xx7E7sLWWo0edCnp1bUo6C06DEHe9z8PQfmnoHCgcLlzR3R53izmzm/AC/38HxZlWDMNgXp/amN0jQpQdJQyWO1pbiYLRbg7WyC7Q/pvLPjGUXVq3oiv/9/WiLEJuyBygOY49yshDZm4h9hTVWSswECzVxTAMKrrb42pSFt7+WbqjoovPHFOqzO70A9qMx4cZeXyH0tVeIfp8DWldzRu/DKqPn/Ze1wtKbfy4scHn/TywvsE2fti8MgLd7eHpaCMKAuveLGlf0xfDWlbB4gM3REEpc7IWDWXMXTaQFQcATap4iGrB6GZnGKIbCH5eI1pVwbJDtzCpUw2z1t83roVkoINhGPw8UDssVjfLv26Q9A0BT0cb/DfCeJaXrveahiArv5A/3xWH8NqUYRiTAannFeLpALmMgZ+LpqaacFh2qLdjiYZ5W1qbGj6YtCkBlTwdUC/IDX+d1o7kGR0bhmEtpY/RxdUsVP/mTGSgKx48zcXsN2og58ZJVIxsjDeWHDMroKF7w2LtBw2x4shtTOtaE56O1vikdahkIK15mBeOTmglyq5qFubF98106fYDhBRyGSZ20J/YZuk7Ufhm51UMbV4ZH/5+Wm+UhLlaV/dB6+rGi8qbVVrDSoZDRZNR6PbnTHmzfiDibqWKrgfsra3g5mCNJ0UTSEzrWhNqNYuedSugupHrMqJRrkEpdVHdgJCQEJw8eRKeniXLZCEvp7oV3VC3oht61atQanfFAMDbqWR3SIpr1+hmOJaYJllfwhIYhkHDSpq6bAevpfDp6d/2jhSNEy+p8AAX0d1YYQfvj/eicS0pC21/KNmYeKGGlTxw8otY0XBEYcddGGAzFGzjOkBWchnm96uDhrOlx9DbyGWoYMZMgO81rYQ2NXz4DkZOgeGgjbWVDOEBLnpZBx82rwSFTIaW1bz0hjRx9X+cbK1EmWLCguLZhYxoeJGU6V1rovMCTUDEVIfKUKFzO2vtMKZutf1x/FaaaLgaIO6wTOqkvdAQBrOELy9jxPVpAOCSRO0f4fv966NGiApyEx0brOQyTO5cQxSUEg6/8HDQPn/pO/Vw8WEm/jv/kC8gbepOJwA0CHbnh7oKZ7LyKqpFIPxcuSFBFT3sYW8th4ONFcIDnPHnh43w6+FETO4i3eFpUdUL0SHusLeWG52t0VCqPaAZsrv04C183EJzITyidRU+KHXufjoAYOPHTVCoVsPGSo5KXg649SRb78IxO58rOK0fsFFJ1PYBIFn7xNAFHxfQBYCUomBOVJAbTglq9BSn829sW1wWEncOuJ2qDZKaE5g3dBoK9XES1dc5ekMblGpUycPg+at2oKsoMFZcwkCjIdyQT8B4DTpDjwm/S93hQYDmvKIbfBB+ls52CoxqE4av/rvED8UTfp9c4NZQfTKpQKEwQ5HbPwrVaizaV/yp1X1cbHE1KUvvuGmoiDe3vdTsAv5Yag5u8orPBaUJhMWUdVX3c8blotolXAaL1O8osoIr//d3vSMxVlAPyNAxnNMxwk9vX+lYy48PSjUL88KSotIButdN5gzNcXewxucdq4mGfALic4IuhmEwonUoBseE4ML9DH54timr329o1nrmGtu2Kka0CtUbsscNWdNl7pDLv4c24jODutX2L/EQJykMw2B0bCgYQHQt9iLw0LkJ1qiytkZw10h/s2sFvsh8nG1xbkpb2NtorpF8nG3xU9ExKdjT3uRND3MxDINzU9ui0/xDuP80Fy2remH54AZgWRaFhYXYegMID3DGlpEx8C/mKAZAc43N9RUA45ld/sWYYXJh/7rYfzUZIZ4OqOzliDupOeg4/5DRfTzY04GvBfrLoChM2piAJ8/yMdTATZji8nKy4QNCFc3I/gSKH4zi2FjJsah/Pb3li/rXxeDlJ/njokzG4Ls39bNDiT6L5JAlJpb9LEjkxVWaAanyFOrjxNcnedEIhw31qmd+oejiWNCvDt5dcRITOmgyusJ8nLDk7bp8Xarn4eVkg0B3O75ot6ON9sLOXpQpZSVKmeUIh/PodniFARKFlczoUDzOk6x80R3vtjV8+dk3dHGdMN2LXWdbBd+BDA9wEc2+s6h/PfwWdxtv1AkQFW3UneUu0M0OiUXBrjejKuDPU/fxflPtEGfhhaqpjr7SQHBLzbI4/nlrPMrIQ3iAC1YcSRTN9AVohna8UScA1nKZKGtKGJQSDv2SMYxeQEhqaFiIpwNWDK4vmrXOFGHWjjBY1ramL9rW9MXRmyl8UMpabjprQZjRIex8c99nfqF2aMrTootwGys5zkxuAxnDgGEYyQwY8TZkWCeYst4QY5ldIUWzgHGEd0y5mjyagvaa9/zfiBgcvPYEzcO8RQW9jdXx0K0pwREGKRpX9sDRm6lop1Pom/Nj3zpoUVTUWepOKSDeX4Xt+GNItGQqfvOq5g0dCBUUyXU1IzBv7rAwYR2wXwdJD70BgLm9aokC9U0l7oBLOfhpS2TlK1HDzxlbJnKBIunvgsvSBYz/XgxltdhZy/liq8JhzMY+CuEx2MnWCgMbBcHX2RZRwZqskELB74Y7Hj7OMJwdqks4Ay+336nULALc7Io91MPTQNHYtgaGQ/q5SM8oxmUkmmJuFtfKd+tj9Lp4qNXA+KKs6Eo6gY+a/s6irOMedQNEQSlzfq4Mw+Df4TFYc/IuAlzt8FaDimBZFkv238Q0QdB8ZOtQrDh6G4Cmvqe59ZU+aFZZFJT6omN1vBkViMJC49m2jjZWosCFlK97RuDfc4+wYnD9UuvwC0m9R2NDnc0hHJ5YFsNyGIbhhwu/SLycbPig1Le9I9G9tng43YJ+dTDiFQhMCW/wjmtXlQ9KVTYxZK/Y27FTYOsnTbHzYhI/dFv3HC089r8IXOwU6FY7gP93DX9nnJoUC1cza0VW83XG30MNZ4aWBFevd+mBW/jCSLC8LNUPdse5qW2LffONWCgoBQDZ2dk4cOAA7t69i4IC8ZCTkSNHWqhVhLychrcKRWJKtugEUdoiA11xalKs6ETZPrx4U0gbI5xFTjidsjAI4mBjhXcaBWPW1iuiToTwAlY36KSQy/hOu0LOSM6OpMucDq3w9QH9C15hR87GSs4XyG5YyR1eTjYY21ZTV0Y4PNFLJyNF2Bn+sls4ukYGGAx+mLqIN3TBrFZrZjjiZinpXicAq47fRd2Kbthy4RHkMgZONlZ6M8oAmqGsn6yNx8hWVXD+QQb2X30CJ1sr5AhqjHg72SA5Kx/Nw6QDCy3MDDhw2tbwxchWVeDvaic5bFQ4HDI8wHTdHV9BUNVe8BlxmR55gno3wmFL5gzTKa7idMSEmU5S1z721laS+6fwLubpSbH46r9L2FQ0FbShmlLCZq0Y3ACp2fkG684Fezpgcf+6cLJVGJwGWnixNrJ1Fey5nIS+DSoiJtSTL9IrZG7WgpeTDTZ83Bj5SrVZw1XqVHQ1a/hbeIALhrWsjABXe6M1aYI8tHdc941rIarzZUxFD+N3alsUFaGO1JnByFgdN2M/JalsDg8jMwAJj8HXk5/BSi4TZR4J27HvSjK6RPpj2Gr9eodjdTrXAxsFYWXcHTQN9cKuS0mwkjF8kLhQzaJLLf9iTwFenKnHAc0+F+zpwGcxcQwNn+QIh76Zw9vJFqveE2f/cBOLcD4V1BoD9Dul5s7jEVHBBREVtAFsrnaNkLDgfHEDMztGNcORGykY0CioVINHfepXRJ/6ls9EL2k2fHGuG152P71VBxPWX8AnsaFoGqo/vKtLpP8rEZTS9d+IGNx/mlsmmWvOtooyu6lcXoo7o2Rp+LFvbVx+lIXP2lflj5lcRqilUECqZCwSlDp79iw6duyInJwcZGdnw93dHSkpKbC3t4e3tzcFpQgpJhc7BX42UDyzNJVXlpuwkyOqKVX0t24WjnD2I7nOsBFrK21QytpKf2YWKV10imjqdgaFuNfTHa6iO0yrX/1ABHvYo45OB8BesJ5udsO0ztXRZ9kJDG1RGbYKOWKMZF5UcLPDoMZBGP/3ecmMF0M1Q3SHe7jaW2PXGE0NtGlda4JhDNcM61Y7ADFVPOHuYI2kzHz8tO86BjQKFmWL/DM8Bkdvppg1c5A5rK1kGNO2qsHHp3SpibTsAgxuEmLw97p1ZFN0+ekwhsSEiDrcwhpVXGdLmClVHnaOboacAhW2Jzw2Oh21h+DiT3d2RGOEn4mHow1GxYbxQSlDAUJ7nQwyUxMh6M6i80bdAPHwPUEb/FzscPzz1ny7wgUzpvo62+I9QWagOYrTwZ7etSa8nWzQo67pjoChmn9CNlZyxE1sBQZMiQvvtqvpgzupOaglGMblam+Ny1+2L9ZsYcbqXr3frJLebG3z+tQxuL4wwC5VyFn4XjecfYDvdQLYh8a3RFJmnt6xj8uyzS0KYlvJGciLbhqoBdvp18C84rO6bTWX1J39DiZuuFRws9Mb5lxcuscnqRsOrvYKflgga1bp3uJvW3eCBlOq+jpJzu77svJzseUnPACAz9obPr9I+bZ3JP4999BkIPNVUsXbyWSWy3sxIfj5cCImdjR97HxZ6Ja1IJbXrXYAutW2dCtIabBIUGr06NHo0qULlixZAhcXFxw7dgwKhQJvv/02PvnkE0s0iRDyAhFmgTjoDN8D9Ae23BbUc9LNlBK+lkJuehpWJxsrvXXMydTQ7TDqZlRYyWWSdxRFGVU6xcDDA5xxYXpbg8XuAc2MIVsuPMKXXWvCw9EGXWr5o8oX2/jHTQXh3qxvuMNnzkxFXHDE18UWM7rrT4ft62JrVqe/tAS42uGvj4xfLNfwd8a1GR30PhupGYEYlO8dr7CiYYy1A13h52KLqf9cxNyetfTWk4uGwJV8e8GeDjg0viUycpUGL7bfbhiEf+Ifol249JA9U/rVr4ikjDzMLxqqqhvk1K0jtuq9aBQUqg3OilRaXO2t8YWZhY/NVdyZS3X9750osCyrF7CQ2heHtayCwStOSr6OsfdVxdsR1lYyvkYaAKPF8TVTqmuG2K1+L9rUW9CjOxU3hwvkczX7FDIZuNh+oZrlhxybk90qbGtxSU0+YOrYN6dnBGK/f/6aipxP21WVHHLpYqcwWqvqefw8IAqJKdl6wcLXnWsxgvyApmTCy57hUhYmda6BEa1DzSqiTwghFglKxcfH43//+x9kMhnkcjny8/NRqVIlzJ07FwMHDkSPHj0s0SxCyAtCGOARds64IWhDYkKweL90FoluoEH4WtZymeRQJyFFMbIRRNvRCWQZK2gtWk/QEZGqEWMsIAVoZjMSzmikO5zC0BTV7zQMQpsaPibrfLyqpIJ1UkMcu9fxx+cbL+gtLw8DGwejR90Ak0PRjNTCN0uguz2M5aK42CmwY3SzEr++TMZgTNuqqFXB1aypwJtUeb0nQTE3I7VlNW/89VEj9F4Sp/eYs8SMiUKeDtb8bKqAfjBf15WvOpjVJgDovEB6FlJd3DGTG+4rFwyvVqlZvvB+aQyFMDb0rSSBrCrepZMp9POAKOy5koQhMdIZgQvfqssXYDd3+J65Yg3U2XrdvN0wCN/suAoAGNAoyMKtebVQQIoQYi6LBKUUCgVkRRce3t7euHv3LqpXrw4XFxfcu2d8amhCyKvpm1618Onf5wGIh+8dvPaE/5sL2oxtEwYZAyzcpx+Y0r2rLgpKWclgKvElLbvA6OMudgpRgWAOwzBQyBl+6Jw5WUaAZlp3Yfucba2QmWe8aGxpGNeuapldMEaHuON4YlqZvHZZahHmDRkD0dApQwWjy4uxgFSDYHecuJ2G3lEvx1166gSXvvrB+kO+pnapYTKwZaPQz+QsLQkP9GfalMLdAOCOuek5Sj4ApVSp+QLqhmbyk962dK0nY8M6bU0E/s3Vrmbxf9+xNXyM7hfC6d3NCeiS4vuoeWWEB7ggt6CwzLMzCSGESLPIGa5OnTo4efIkQkND0bx5c0yZMgUpKSn4/fffER4ebvoFCCGvHGFdHGEnZFDjYEwomnabqyVlJZehUSVPyaCU7k11hc7wvecdjtWwkjt2XEySfMzWSg6lShNQMjdTqlYF7ZAphVyGjcOa4K2lxxDjYboAsyHC2awMKcs7mKvei8bsbVeM1sB6EbnYK5AwvZ1e1luwhz1up+aUyexKz2PZwCgcu5XKF8I2hKtLY+5vkrycqvo4mZ3RppuVac6spKWNOzYnZ2ln6ou7lQoA+Oq/S/zEHcUJmBnKDDVWTF43ftfXyJBmQ9rU8MFiienBn5dcxmBR/7rILVDpzc5KSodcxhitwUYIIaTslf6cq2aYNWsW/Pw0RSRnzpwJNzc3DB06FE+ePMHSpUst0SRCiIVZCQJRwtnbekcFIirIDfbWcgxqoh3iIEyIEk5HrJshIAxKWctl8HCwRrBOB6WNGRkc7zTUpPWPbB1qcB17QaFsczOlKrjZoWukP2Kre8PDwRqVvRxx6NNmaOZX8rEapqa6F844Vxas5DJM7lwDLYs5s96LwN7aSq8TvGdsC/zvnXrYN66FZRplgIudAu1q+poc4nlmUhusH9oI8VPblFPLSHniCmQXpyB4Ykq26N+WCEpJDVfmpDwr4CewKE7bSjID7fXkZ6J/5xcaD+hz3hcU4Z/dI8LghBDPq2OEH3pSzSJCCCGvsHK/7cuyLLy9vfmMKG9vb2zfvr28m0EIecEIOwLCDpNcxkjO8iIMvFT1ddZ7nGMtCHYprGSQyRjsHtMcN59ko908TaFa4exLtgrpjtKX3WpiYsdqRodzOVhbAdDc9Tc3K4VhGMzvV0dv2fOQm3h+OU2iWGrGtAnD97uuGQ0IliW5jEG7miUr8v0ikMkY1AvSH+ZFXg0rBtfH5UeZqBNofsFq3cBLWU1h/W4T6VpJAHe81OpRJwAbzj7g/12SQucdI/T307OTjQdjnwgytQCgex3zAlsdIvyw7FAiAPOP94QQQgjRV+6ZUizLokqVKlQ7ihAi8kxQR6lzLePTcQPiTpSx0R3iTCnNc6zkMtGU1sK6U/2jpQudMgyjF5DS7cgJM6UsWYvIVNCptAvmlrURrargwKctMDrWMkEpQl5k9tZWqBfkXqxMnaldtLPzBbjaPXcg3BClynDWkW6NJN3jqUrFDdc2v2267+PwZy3h5mB8NjWuLpeVjMHO0c3MHsqlEATLKChFCCGElFy5B6VkMhlCQ0ORmppa3psmhLzAhFOGR0kU79Ul7L8YG66mV+hcgnD4U3E6QOEBLqJ/C2sRWbKTMvONCIttuywwDIMgD4cy6zgT8roZ2CiY//vb3pFltp1CteGglJPODIG6x16luvjD93QpzKhHNblzdYxrG4Z941ogzMf8WfVq+DsjKsgNnSL8ymzoHiGEEPI6sEhNqTlz5uDTTz9FQkKCJTZPCHkBNQhxx9yetbDxY/2helKEgSjdTsvXPbVBGd1C50J9ogIR4umALpHazCxFMYaKtNaZqUfYJltrixxeAQCtDMwgxM3k1E1Qg4sQ8voRBlF8XZ6/xtxn7atJLv+wWWWDz9HNlNK9uZCn1NQWNLc+nxRzAlqu9tYY3ipUdGPEHNzQ8oX965a0eYQQQgiBhWbfGzBgAHJychAZGQlra2vY2dmJHk9Le/mmEieEPL83izHrkXj4nrjjEezhwP9tLCj1da9aYFlWVMMqI1dpctvbRzXFgatP8G6MuF6KWjAuTncGt/JkqD7MmvejcfRmKlpXf/kKkBNCStf6oY3xJCsfIZ4Oplc2wc5ALb4gI7Pe6Wau6gaQsvM1QannGQpdnJn7CCGEEGIZFglKzZs3zxKbJYS8QrydtHf3n+WrRI8JgzLCGZ6kipgzDANhiaWEhxkmt13N1xnVJIqrZwnqYllyqJmhoJSrvTU6Rpiu10UIefXVCzK/MLophsrUGTsOKnSG62UXqDC2TRi+23UNXk42yCnQHE8dbUqeKUUjfgkhhJAXn0WCUgMHDrTEZgkhrxDhkJPs/ELRY8KhKcKOj6E6TxUFwzYcbUp+WHycmVfi55Ym4ex7woLGhBBSFkqSbaU7VPrv0/fx+5AGAAB3e+sSZ0oFuNrhQXouAMDZVmFibUIIIYRYmsXymm/evIlJkyahX79+SE5OBgBs27YNFy9etFSTCCEvKaVOMV1hbRLhEBFDQSnhsD7dqdKLY3jLKgCAfg0qlvg1SoNMxuDDZpXQu14FDGocbNG2EEJefebOWCekkJh4gjsWK9VqJGdpgvwOxcyUWjqgHmr6O2PF4PrFbhMhhBBCyp9FglIHDhxAREQEjh8/jg0bNuDZs2cAgHPnzmHq1KmWaBIh5CWmLBQPHhFmCgkDTnZm3HEveI6g1JCYEPz9USNM71qzxK9RWiZ2rI5vekfSjHWEkDLHMAyWvlOvWM/RrSHFMNrM1ltPspHyrABA8TOlavq7YMvIpmhRlWrnEUIIIS8DiwSlJkyYgBkzZmDXrl2wtrbml7dq1QrHjh2zRJMIIS8xpUonU0pwZFOptQErQ8V4AaCmv6ZGVPfnmJnOSi5DVLC7XgFfQgh51bWt6Vus9XUnnpAzDOwU+gEoh+codE4IIYSQF59FzvQXLlzA6tWr9ZZ7e3sjJSXFAi0ihLzMCo0M3zueqJ3N09rK8DCQNR80xPl7GWhU2aP0G0gIIUREd0IGmYxBmI8jGAYQTGQK++codE4IIYSQF59Fbue7urri0aNHesvPnj2LgIAAC7SIEPIyY3WmfhJ2dpxstbF33eEiQs62CsSEehqcuY4QQkjZkTMMrOQyWOtkUFGmFCGEEPJqs0hQqm/fvvjss8/w+PFjMAwDtVqNI0eOYNy4cRgwYIAlmkQIeQmNbRMGH2cbjGgdKlouDCsJg0wOzzGzHiGEEPONjg0r1vrcsVp3WJ+dNWVKEUIIIa8yiwSlZs2ahWrVqiEwMBDPnj1DjRo10KxZMzRu3BiTJk2yRJMIIS+hEa1DcWxiawS42omWFwhqTMkYBsNbVkHjyh5oU8OnvJtICCGvjfebhvB/f9i8UrGe+0Of2gAAK7n2RkLTUM9SaRchhBBCXlwWSRuwtrbGsmXLMHnyZCQkJODZs2eoU6cOQkNDTT+ZEEIEpGaXE86gxwAY165qObaIEEJeT5/EhmHZoUQA0BuGJ6Vfg4pYc+IuAPA3DawEM1XoZk0RQggh5NVj0bEsFStWRMWKFS3ZBELIK8jVXjur5zuNgizYEkIIeX042lhhz9jmUMhkkJlRn292jwh82q4q3B20x2yFIFPKWB1AQgghhLwayi0oNWbMGLPX/f7778uwJYSQV12IpwO+6lYT2QUqdKtNkycQQkh5qezlWKz1hQEpQDx8jzKlCCGEkFdfuQWlzp49a9Z6UkNxCCGkuN5pFGzpJhBCCCkm4fDrx5l5FmwJIYQQQspDuQWl9u3bV16bIoQQQgghL6GkzHz+79N3nlqwJYQQQggpDxbNi75x4wZ27NiB3NxcAADLspZsDiGEEEIIIYQQQggpJxYJSqWmpqJ169YICwtDx44d8ejRIwDAkCFDMHbsWEs0iRBCCCGEvEA6hPtaugmEEEIIKWMWCUqNHj0aCoUCd+/ehb29Pb+8T58+2L59uyWaRAghhBBCXiD9GtAMzYQQQsirziJBqZ07d+Lrr79GhQoVRMtDQ0Nx584dSzSJEEIIIYRYWO962mtDGyuafY8QQgh51VnkbJ+dnS3KkOKkpaXBxsbGAi0ihBBCCCGWlpVXyP+tUlOtUUIIIeRVZ5GgVNOmTfHbb7/x/2YYBmq1GnPnzkXLli0t0SRCCCGEEGJhtgrtpalMxliwJYQQQggpD1aW2OjcuXPRunVrnDp1CgUFBRg/fjwuXryItLQ0HDlyxBJNIoQQQgghFiZMjooOcbdcQwghhBBSLiySKRUeHo5r164hJiYG3bp1Q3Z2Nnr06IGzZ8+icuXKlmgSIYQQQgixMBWrjUoxDGVKEUIIIa86i2RKAYCLiwu++OILS22eEEIIIYS8YFiW6kgRQgghrxOLZEotX74cf/31l97yv/76CytXrrRAiwghhBBCiKVRcXNCCCHk9WKRoNTs2bPh6empt9zb2xuzZs2yQIsIIYQQQoilyam4OSGEEPJasUhQ6u7duwgJCdFbHhQUhLt371qgRYQQQgghxNImtK8OX2dbfNGxuqWbQgghhJByYJGaUt7e3jh//jyCg4NFy8+dOwcPDw9LNIkQQgghhFhYRQ97xE1sRUXOCSGEkNeERTKl+vXrh5EjR2Lfvn1QqVRQqVTYu3cvPvnkE/Tt29cSTSKEEEIIIS8ACkgRQgghrw+LZEp99dVXuH37Nlq3bg0rK00T1Go1BgwYQDWlCCGEEEIIIYQQQl4DFglKWVtbY926dZgxYwbi4+NhZ2eHiIgIBAUFWaI5FsFNeZyZmWnhlpScUqlETk4OMjMzoVAoLN0cQl4ZtG8RUvpovyKkbNC+RUjpo/2KvAq4WAcX+zCEYU2tQcrE/fv3ERgYaOlmEEIIIYQQQgghhJSJe/fuoUKFCgYft0hQqmfPnmjQoAE+++wz0fK5c+fi5MmT+Ouvv8q7SeVOrVbj4cOHcHJyemlrJ2RmZiIwMBD37t2Ds7OzpZtDyCuD9i1CSh/tV4SUDdq3CCl9tF+RVwHLssjKyoK/vz9kMsPlzC0SlPLy8sLevXsREREhWn7hwgXExsYiKSmpvJtESiAzMxMuLi7IyMiggyUhpYj2LUJKH+1XhJQN2rcIKX20X5HXiUVm33v27Bmsra31lisUipe6xhIhhBBCCCGEEEIIMY9FglIRERFYt26d3vK1a9eiRo0aFmgRIYQQQgghhBBCCClPFpl9b/LkyejRowdu3ryJVq1aAQD27NmDNWvWvBb1pF4VNjY2mDp1KmxsbCzdFEJeKbRvEVL6aL8ipGzQvkVI6aP9irxOLDb73pYtWzBr1izEx8fDzs4OtWrVwtSpU9G8eXNLNIcQQgghhBBCCCGElCOLBaUMSUhIQHh4uKWbQQghhBBCCCGEEELKkEVqSunKysrC0qVL0aBBA0RGRlq6OYQQQgghhBBCCCGkjFk0KHXw4EEMGDAAfn5++Pbbb9GqVSscO3bMkk0ihBBCCCGEEEIIIeWg3AudP378GCtWrMAvv/yCzMxMvPnmm8jPz8emTZto5j1CCCGEEEIIIYSQ10S5Zkp16dIFVatWxfnz5zFv3jw8fPgQCxYsKM8mkFK0cOFCBAcHw9bWFtHR0Thx4oSlm0TIS2vatGlgGEb0X7Vq1SzdLEJeOgcPHkSXLl3g7+8PhmGwadMm0eMsy2LKlCnw8/ODnZ0dYmNjcf36dcs0lpCXhKn9atCgQXrnsPbt21umsYS8JGbPno369evDyckJ3t7e6N69O65evSpaJy8vD8OGDYOHhwccHR3Rs2dPJCUlWajFhJSNcg1Kbdu2DUOGDMH06dPRqVMnyOXy8tw8KUXr1q3DmDFjMHXqVJw5cwaRkZFo164dkpOTLd00Ql5aNWvWxKNHj/j/Dh8+bOkmEfLSyc7ORmRkJBYuXCj5+Ny5czF//nwsWbIEx48fh4ODA9q1a4e8vLxybikhLw9T+xUAtG/fXnQOW7NmTTm2kJCXz4EDBzBs2DAcO3YMu3btglKpRNu2bZGdnc2vM3r0aPz777/466+/cODAATx8+BA9evSwYKsJKX3lOvvesWPH8Msvv2DdunWoXr063nnnHfTt2xd+fn44d+4cDd97iURHR6N+/fr46aefAABqtRqBgYEYMWIEJkyYYOHWEfLymTZtGjZt2oT4+HhLN4WQVwbDMNi4cSO6d+8OQJMl5e/vj7Fjx2LcuHEAgIyMDPj4+GDFihXo27evBVtLyMtBd78CNJlS6enpehlUhBDzPXnyBN7e3jhw4ACaNWuGjIwMeHl5YfXq1ejVqxcA4MqVK6hevTri4uLQsGFDC7eYkNJRrplSDRs2xLJly/Do0SN8+OGHWLt2Lfz9/aFWq7Fr1y5kZWWVZ3NICRUUFOD06dOIjY3ll8lkMsTGxiIuLs6CLSPk5Xb9+nX4+/ujUqVK6N+/P+7evWvpJhHySklMTMTjx49F5y8XFxdER0fT+YuQ57R//354e3ujatWqGDp0KFJTUy3dJEJeKhkZGQAAd3d3AMDp06ehVCpF56xq1aqhYsWKdM4irxSLzL7n4OCAd999F4cPH8aFCxcwduxYzJkzB97e3ujataslmkSKISUlBSqVCj4+PqLlPj4+ePz4sYVaRcjLLTo6GitWrMD27duxePFiJCYmomnTphSsJ6QUcecoOn8RUrrat2+P3377DXv27MHXX3+NAwcOoEOHDlCpVJZuGiEvBbVajVGjRqFJkyYIDw8HoDlnWVtbw9XVVbQunbPIq6bcZ9/TVbVqVcydOxezZ8/Gv//+i19//dXSTSKEkHLXoUMH/u9atWohOjoaQUFB+PPPPzFkyBALtowQQggxTjj0NSIiArVq1ULlypWxf/9+tG7d2oItI+TlMGzYMCQkJFA9UfJaskimlBS5XI7u3bvjn3/+sXRTiAmenp6Qy+V6Mz8kJSXB19fXQq0i5NXi6uqKsLAw3Lhxw9JNIeSVwZ2j6PxFSNmqVKkSPD096RxGiBmGDx+O//77D/v27UOFChX45b6+vigoKEB6erpofTpnkVfNCxOUIi8Pa2tr1KtXD3v27OGXqdVq7NmzB40aNbJgywh5dTx79gw3b96En5+fpZtCyCsjJCQEvr6+ovNXZmYmjh8/TucvQkrR/fv3kZqaSucwQoxgWRbDhw/Hxo0bsXfvXoSEhIger1evHhQKheicdfXqVdy9e5fOWeSVYvHhe+TlNGbMGAwcOBBRUVFo0KAB5s2bh+zsbAwePNjSTSPkpTRu3Dh06dIFQUFBePjwIaZOnQq5XI5+/fpZummEvFSePXsmys5ITExEfHw83N3dUbFiRYwaNQozZvD2VGoAAQAASURBVMxAaGgoQkJCMHnyZPj7+4tmEiOEiBnbr9zd3TF9+nT07NkTvr6+uHnzJsaPH48qVaqgXbt2Fmw1IS+2YcOGYfXq1di8eTOcnJz4OlEuLi6ws7ODi4sLhgwZgjFjxsDd3R3Ozs4YMWIEGjVqRDPvkVcKw7Isa+lGkJfTTz/9hG+++QaPHz9G7dq1MX/+fERHR1u6WYS8lPr27YuDBw8iNTUVXl5eiImJwcyZM1G5cmVLN42Ql8r+/fvRsmVLveUDBw7EihUrwLIspk6diqVLlyI9PR0xMTFYtGgRwsLCLNBaQl4OxvarxYsXo3v37jh79izS09Ph7++Ptm3b4quvvtKbVIAQosUwjOTy5cuXY9CgQQCAvLw8jB07FmvWrEF+fj7atWuHRYsW0fA98kqhoBQhhBBCCCGEEEIIKXdUU4oQQgghhBBCCCGElDsKShFCCCGEEEIIIYSQckdBKUIIIYQQQgghhBBS7igoRQghhBBCCCGEEELKHQWlCCGEEEIIIYQQQki5o6AUIYQQQgghhBBCCCl3FJQihBBCCCGEEEIIIeWOglKEEEIIIYQQQgghpNxRUIoQQggh5AU3aNAgdO/evVy2lZqaCm9vb9y+fdvkuikpKfD29sb9+/fLvmGEEEIIeeUwLMuylm4EIYQQQsjrimEYo49PnToVo0ePBsuycHV1LfP2jBkzBllZWVi2bJlZ648bNw5Pnz7FL7/8UsYtI4QQQsirhoJShBBCCCEW9PjxY/7vdevWYcqUKbh69Sq/zNHREY6OjuXSlpycHPj5+WHHjh1o2LChWc+5ePEi6tWrh4cPH8Ld3b2MW0gIIYSQVwkN3yOEEEIIsSBfX1/+PxcXFzAMI1rm6OioN3yvRYsWGDFiBEaNGgU3Nzf4+Phg2bJlyM7OxuDBg+Hk5IQqVapg27Ztom0lJCSgQ4cOcHR0hI+PD9555x2kpKTwj2/duhU2NjaigNTTp0/Rv39/eHl5wc7ODqGhoVi+fDn/eM2aNeHv74+NGzeW3YdECCGEkFcSBaUIIYQQQl5CK1euhKenJ06cOIERI0Zg6NCh6N27Nxo3bowzZ86gbdu2eOedd5CTkwMASE9PR6tWrVCnTh2cOnUK27dvR1JSEt58803+NQ8dOoR69eqJtjN58mRcunQJ27Ztw+XLl7F48WJ4enqK1mnQoAEOHTpU9m+aEEIIIa8UK0s3gBBCCCGEFF9kZCQmTZoEAJg4cSLmzJkDT09PvP/++wCAKVOmYPHixTh//jwaNmyIn376CXXq1MGsWbP41/j1118RGBiIa9euISwsDHfu3IG/v79oO3fv3kWdOnUQFRUFAAgODtZri7+/P86ePVtG75QQQgghryrKlCKEEEIIeQnVqlWL/1sul8PDwwMRERH8Mh8fHwBAcnIyAODcuXPYt28fX6PK0dER1apVAwDcvHkTAJCbmwtbW1vRdoYOHYq1a9eidu3aGD9+PI4eParXFjs7Oz4jixBCCCHEXJQpRQghhBDyElIoFKJ/MwwjWsbN6qdWqwEAz549Q5cuXfD111/rvZafnx8AwNPTE0+fPhU91qFDB9y5cwdbt27Frl270Lp1awwbNgzffvstv05aWhq8vLxK540RQggh5LVBmVKEEEIIIa+BunXr4uLFiwgODkaVKlVE/zk4OAAA6tSpg0uXLuk918vLCwMHDsQff/yBefPmYenSpaLHExISUKdOnXJ5H4QQQgh5dVBQihBCCCHkNTBs2DCkpaWhX79+OHnyJG7evIkdO3Zg8ODBUKlUAIB27drh4sWLomypKVOmYPPmzbhx4wYuXryI//77D9WrV+cfz8nJwenTp9G2bdtyf0+EEEIIeblRUIoQQggh5DXg7++PI0eOQKVSoW3btoiIiMCoUaPg6uoKmUxzSRgREYG6devizz//5J9nbW2NiRMnolatWmjWrBnkcjnWrl3LP75582ZUrFgRTZs2Lff3RAghhJCXG8OyLGvpRhBCCCGEkBfDli1b8OmnnyIhIYEPVhnTsGFDjBw5Em+99VY5tI4QQgghrxIqdE4IIYQQQnidOnXC9evX8eDBAwQGBhpdNyUlBT169EC/fv3KqXWEEEIIeZVQphQhhBBCCCGEEEIIKXdUU4oQQgghhBBCCCGElDsKShFCCCGEEEIIIYSQckdBKUIIIYQQQgghhBBS7igoRQghhBBCCCGEEELKHQWlCCGEEEIIIYQQQki5o6AUIYQQQgghhBBCCCl3FJQihBBCCCGEEEIIIeWOglKEEEIIIYQQQgghpNxRUIoQQgghhBBCCCGElDsKShFCCCGEEEIIIYSQckdBKUIIIYQQQgghhBBS7igoRQghhBBCCCGEEELKHQWlCCGEEEIIIYQQQki5o6AUIYQQQgghhBBCCCl3FJQihBBCCCGEEEIIIeWOglKEEEIIIS+Ib775BpUqVYJcLkft2rXLZBsMw2DatGll8tqW0qJFC7Ro0cLSzSgzSUlJ6NWrFzw8PMAwDObNm2fpJhFCCCGlgoJShBBCyAvuwoUL6NWrF4KCgmBra4uAgAC0adMGCxYssHTTkJOTg2nTpmH//v2WbspLb+fOnRg/fjyaNGmC5cuXY9asWXrr7N+/HwzDmPUfEatRowYiIyP1lm/cuBEMw6B58+Z6j/36669gGAY7d+4sjyYaNHr0aOzYsQMTJ07E77//jvbt21u0PYQQQkhpsbJ0AwghhBBi2NGjR9GyZUtUrFgR77//Pnx9fXHv3j0cO3YMP/74I0aMGGHR9uXk5GD69OkA8EpnqpSHvXv3QiaT4ZdffoG1tbXkOtWrV8fvv/8uWjZx4kQ4Ojriiy++MGs7ubm5sLJ6/S4BY2Ji8MsvvyAjIwMuLi788iNHjsDKygonT56EUqmEQqEQPSaXy9GoUSNLNJm3d+9edOvWDePGjbNoOwghhJDS9vpdkRBCCCEvkZkzZ8LFxQUnT56Eq6ur6LHk5GTLNOo5ZGdnw8HB4ZXbVmlITk6GnZ2dwYAUAPj4+ODtt98WLZszZw48PT31lgup1WoUFBTA1tYWtra2pdbml0lMTAyWLVuGo0ePokOHDvzyI0eO4M0338Tq1atx+vRpNGzYkH/s8OHDqFWrFpycnCzRZF5ycrLe/v888vLyYG1tDZmMBk0QQgixLDoTEUIIIS+wmzdvombNmpIdUm9vb9G/GYbB8OHDsWrVKlStWhW2traoV68eDh48qPfcBw8e4N1334WPjw9sbGxQs2ZN/Prrr3rr5eXlYdq0aQgLC4OtrS38/PzQo0cP3Lx5E7dv34aXlxcAYPr06fywMa5e0aBBg+Do6IibN2+iY8eOcHJyQv/+/QFoAkZjx45FYGAgbGxsULVqVXz77bdgWVa0/dzcXIwcORKenp5wcnJC165d8eDBA726SNOmTQPDMLh06RLeeustuLm5ISYmBgBw/vx5DBo0CJUqVYKtrS18fX3x7rvvIjU1VbQt7jWuXbuGt99+Gy4uLvDy8sLkyZPBsizu3buHbt26wdnZGb6+vvjuu++Mf3lFCgsL8dVXX6Fy5cqwsbFBcHAwPv/8c+Tn54u+u+XLlyM7O5v/HFesWGHW60sR/hZq1qwJGxsbbN++nX9M6rMr6fvmhhT++eefmD59OgICAuDk5IRevXohIyMD+fn5GDVqFLy9veHo6IjBgweL3jvnjz/+QL169WBnZwd3d3f07dsX9+7d01tv6dKlqFy5Muzs7NCgQQMcOnTIrM+E+z0cOXKEX5aXl4czZ86gR48eqFSpkuixJ0+e4Nq1a/zz7ty5g48//hhVq1aFnZ0dPDw80Lt3b9y+fZt/zqlTp8AwDFauXKm3/R07doBhGPz333/8MlP74YoVK8AwDFiWxcKFC/WGZt66dQu9e/eGu7s77O3t0bBhQ2zZskW0Xe77Wbt2LSZNmoSAgADY29sjMzOT30fv3r2Lzp07w9HREQEBAVi4cCEAzdDhVq1awcHBAUFBQVi9erVZnzUhhBBiLsqUIoQQQl5gQUFBiIuLQ0JCAsLDw02uf+DAAaxbtw4jR46EjY0NFi1ahPbt2+PEiRP885OSktCwYUM+cOHl5YVt27ZhyJAhyMzMxKhRowAAKpUKnTt3xp49e9C3b1988sknyMrKwq5du5CQkIDY2FgsXrwYQ4cOxRtvvIEePXoAAGrVqsW3p7CwEO3atUNMTAy+/fZb2Nvbg2VZdO3aFfv27cOQIUNQu3Zt7NixA59++ikePHiAH374gX/+oEGD8Oeff+Kdd95Bw4YNceDAAXTq1Mng++/duzdCQ0Mxa9YsPsC1a9cu3Lp1C4MHD4avry8uXryIpUuX4uLFizh27Jhe/aU+ffqgevXqmDNnDrZs2YIZM2bA3d0d//vf/9CqVSt8/fXXWLVqFcaNG4f69eujWbNmRr+T9957DytXrkSvXr0wduxYHD9+HLNnz8bly5exceNGAMDvv/+OpUuX4sSJE/j5558BAI0bNzb5fRuzd+9e/Pnnnxg+fDg8PT0RHBxsdP3nfd+zZ8+GnZ0dJkyYgBs3bmDBggVQKBSQyWR4+vQppk2bhmPHjmHFihUICQnBlClT+OfOnDkTkydPxptvvon33nsPT548wYIFC9CsWTOcPXuWD8r+8ssv+PDDD9G4cWOMGjUKt27dQteuXeHu7o7AwECj769SpUrw9/fH4cOH+WUnT55EQUEBGjdujMaNG+PIkSMYO3YsAM3QWUAbzDp58iSOHj2Kvn37okKFCrh9+zYWL16MFi1a4NKlS7C3t0dUVBQqVaqEP//8EwMHDhRtf926dXBzc0O7du0AmLcfNmvWDL///jveeecdtGnTBgMGDOBfLykpCY0bN0ZOTg5GjhwJDw8PrFy5El27dsXff/+NN954Q7T9r776CtbW1hg3bhzy8/P5jDyVSoUOHTqgWbNmmDt3LlatWoXhw4fDwcEBX3zxBfr3748ePXpgyZIlGDBgABo1aoSQkBCjnzUhhBBiNpYQQgghL6ydO3eycrmclcvlbKNGjdjx48ezO3bsYAsKCvTWBcACYE+dOsUvu3PnDmtra8u+8cYb/LIhQ4awfn5+bEpKiuj5ffv2ZV1cXNicnByWZVn2119/ZQGw33//vd621Go1y7Is++TJExYAO3XqVL11Bg4cyAJgJ0yYIFq+adMmFgA7Y8YM0fJevXqxDMOwN27cYFmWZU+fPs0CYEeNGiVab9CgQXrbnDp1KguA7devn147uPcjtGbNGhYAe/DgQb3X+OCDD/hlhYWFbIUKFViGYdg5c+bwy58+fcra2dmxAwcO1Httofj4eBYA+95774mWjxs3jgXA7t27l182cOBA1sHBwejrSalZsybbvHlz0TIArEwmYy9evKi3vqHPrqTve9++fSwANjw8XPS77NevH8swDNuhQwfR9hs1asQGBQXx/759+zYrl8vZmTNnita7cOECa2VlxS8vKChgvb292dq1a7P5+fn8ekuXLmUB6H0GUnr37s3a2dnx7Zw9ezYbEhLCsizLLlq0iPX29ubX5b6jBw8esCwr/TuKi4tjAbC//fYbv2zixImsQqFg09LS+GX5+fmsq6sr++677/LLzN0PWVbznQ0bNky03qhRo1gA7KFDh/hlWVlZbEhICBscHMyqVCqWZbXfT6VKlfTeA7ePzpo1i1/GfccMw7Br167ll1+5csXgvk4IIYSUFA3fI4QQQl5gbdq0QVxcHLp27Ypz585h7ty5aNeuHQICAvDPP//ord+oUSPUq1eP/3fFihXRrVs37NixAyqVCizLYv369ejSpQtYlkVKSgr/X7t27ZCRkYEzZ84AANavXw9PT0/JYurFmd1t6NChon9v3boVcrkcI0eOFC0fO3YsWJbFtm3bAIAfbvbxxx+L1jNW3P2jjz7SW2ZnZ8f/nZeXh5SUFL5uEPdehd577z3+b7lcjqioKLAsiyFDhvDLXV1dUbVqVdy6dctgWwDNewWAMWPGiJZz2Ti6Q61KU/PmzVGjRg2z13/e9z1gwABRkfDo6GiwLIt3331XtF50dDTu3buHwsJCAMCGDRugVqvx5ptvin6Pvr6+CA0Nxb59+wBohsYlJyfjo48+EtXdGjRokKhwuTExMTHIzc3F6dOnAWiG8nEZaU2aNEFycjKuX7/OPxYSEgJ/f38A4t+RUqlEamoqqlSpAldXV9HvqE+fPlAqldiwYQO/bOfOnUhPT0efPn0AoFj7oSFbt25FgwYN+EwuAHB0dMQHH3yA27dv49KlS6L1Bw4cKHoPQsLvnvuOHRwc8Oabb/LLq1atCldXV5O/eUIIIaQ4KChFCCGEvODq16+PDRs24OnTpzhx4gQmTpyIrKws9OrVS6/jGRoaqvf8sLAw5OTk4MmTJ3jy5AnS09OxdOlSeHl5if4bPHgwAG0B9Zs3b6Jq1arPNVOblZUVKlSoIFp2584d+Pv76xWPrl69Ov8493+ZTKY3VKhKlSoGtyc1rCgtLQ2ffPIJfHx8YGdnBy8vL369jIwMvfUrVqwo+reLiwtsbW3h6empt/zp06cG2yJ8D7pt9vX1haurK/9ey0Jxh1g97/uWej4AvWF1Li4uUKvV/Gd//fp1sCyL0NBQvd/k5cuX+d8j91np/sYVCgUqVapk1nsU1pViWRZHjx5FkyZNAADh4eFwdnbGkSNHkJeXh9OnT4sCPrm5uZgyZQpfB83T0xNeXl5IT08X/Y4iIyNRrVo1rFu3jl+2bt06eHp6olWrVgBQrP3QkDt37qBq1ap6y3X3I46h34OtrS1fG47j4uKCChUq6AWfzfnNE0IIIcVBNaUIIYSQl4S1tTXq16+P+vXrIywsDIMHD8Zff/2FqVOnmv0aarUaAPD222/r1bzhCGtCPS8bG5tyneFLKhPkzTffxNGjR/Hpp5+idu3acHR0hFqtRvv27fnPQ0gul5u1DIBeYXZDipNZVloMZcUY8rzv29C6pl5DrVaDYRhs27ZNcl1HR0eDbS6uyMhIODk54fDhw+jYsSPS0tL4TCmZTIbo6GgcPnwYlStXRkFBgSgoNWLECCxfvhyjRo1Co0aN4OLiAoZh0LdvX73fUZ8+fTBz5kykpKTAyckJ//zzD/r168cHeMt7PwQM/x5K+r0RQgghpYGCUoQQQshLKCoqCgDw6NEj0XJu6JHQtWvXYG9vz2dDODk5QaVSITY21ug2KleujOPHj0OpVIqGZQmVJNgSFBSE3bt3IysrS5QtdeXKFf5x7v9qtRqJiYmi7JgbN26Yva2nT59iz549mD59uqiwttTnVBa493D9+nU+gwXQFKlOT0/n3+vrrHLlymBZFiEhIQgLCzO4HvdZXb9+nc84AjRD6RITExEZGWlyW3K5HA0bNsSRI0dw+PBhODs7IyIign+8cePGWLduHZ/ZJgxK/f333xg4cKBo9sG8vDykp6frbadPnz6YPn061q9fDx8fH2RmZqJv3778415eXmbvh4YEBQXh6tWrest19yNCCCHkRUbD9wghhJAX2L59+yQzE7haRbrDd+Li4kS1aO7du4fNmzejbdu2kMvlkMvl6NmzJ9avX4+EhAS9133y5An/d8+ePZGSkoKffvpJbz2uTfb29gAg2TE3pGPHjlCpVHqv+8MPP4BhGHTo0AEA+FnKFi1aJFpvwYIFZm+Ly/bQ/QznzZtn9ms8j44dO0pu7/vvvwcAozMJvi569OgBuVyO6dOn631PLMsiNTUVgCYQ6+XlhSVLlqCgoIBfZ8WKFcX6/cXExODJkydYvnw5oqOjRZl8jRs3xtWrV7F582Z4eHiIAolyuVyvfQsWLIBKpdLbRvXq1REREYF169Zh3bp18PPzE81WWJz90JCOHTvixIkTiIuL45dlZ2dj6dKlCA4OLlY9MUIIIcRSKFOKEEIIeYGNGDECOTk5eOONN1CtWjUUFBTg6NGjWLduHYKDg/n6M5zw8HC0a9cOI0eOhI2NDR/QmT59Or/OnDlzsG/fPkRHR+P9999HjRo1kJaWhjNnzmD37t1IS0sDoClc/dtvv2HMmDE4ceIEmjZtiuzsbOzevRsff/wxunXrBjs7O9SoUQPr1q1DWFgY3N3dER4ejvDwcIPvqUuXLmjZsiW++OIL3L59G5GRkdi5cyc2b96MUaNGoXLlygCAevXqoWfPnpg3bx5SU1PRsGFDHDhwANeuXQNgXpaWs7MzP9W9UqlEQEAAdu7cicTExOJ9ESUUGRmJgQMHYunSpUhPT0fz5s1x4sQJrFy5Et27d0fLli3LpR0vssqVK2PGjBmYOHEibt++je7du8PJyQmJiYnYuHEjPvjgA4wbNw4KhQIzZszAhx9+iFatWqFPnz5ITEzE8uXLza4pBWizn+Li4jBt2jTRYw0bNgTDMDh27Bi6dOki+o117twZv//+O1xcXFCjRg3ExcVh9+7d8PDwkNxOnz59MGXKFNja2mLIkCF6w1jN3Q8NmTBhAtasWYMOHTpg5MiRcHd3x8qVK5GYmIj169eX67BZQgghpKQoKEUIIYS8wL799lv89ddf2Lp1K5YuXYqCggJUrFgRH3/8MSZNmgRXV1fR+s2bN0ejRo0wffp03L17FzVq1MCKFStE9Wl8fHxw4sQJfPnll9iwYQMWLVoEDw8P1KxZE19//TW/nlwux9atWzFz5kysXr0a69evh4eHB2JiYkRDnn7++WeMGDECo0ePRkFBAaZOnWo0KCWTyfDPP/9gypQpWLduHZYvX47g4GB88803/Kx0nN9++w2+vr5Ys2YNNm7ciNjYWKxbtw5Vq1aFra2tWZ/h6tWrMWLECCxcuBAsy6Jt27bYtm0bP6taWfv5559RqVIlrFixAhs3boSvry8mTpxYrFpgr7oJEyYgLCwMP/zwAx9ADQwMRNu2bdG1a1d+vQ8++AAqlQrffPMNPv30U0REROCff/7B5MmTzd5Ww4YNYWVlhcLCQr6eFMfZ2Rnh4eE4f/68aOgeAPz444+Qy+VYtWoV8vLy0KRJE+zevZvP6NPVp08fTJo0CTk5Ofyse0Lm7oeG+Pj44OjRo/jss8+wYMEC5OXloVatWvj3338pA48QQshLg2GpWiEhhBDySmAYBsOGDZMcbvcqiY+PR506dfDHH3+gf//+lm4OIYQQQggpIcrrJYQQQsgLKzc3V2/ZvHnzIJPJRDV6CCGEEELIy4eG7xFCCCHkhTV37lycPn0aLVu2hJWVFbZt24Zt27bhgw8+QGBgoKWbRwghhBBCnsMrnyl18OBBdOnSBf7+/mAYBps2bRI9zrIspkyZAj8/P9jZ2SE2NtasaaIXLlyI4OBg2NraIjo6GidOnCijd0AIIYS8vho3boy0tDR89dVXGDt2LK5du4Zp06Zh4cKFlm4aIYQQQgh5Tq98plR2djYiIyPx7rvvokePHnqPz507F/Pnz8fKlSsREhKCyZMno127drh06ZLBAqrr1q3DmDFjsGTJEkRHR2PevHlo164drl69Cm9v77J+S4QQQoikV7FMZJs2bdCmTRtLN4MQQgghhJSB16rQOcMw2LhxI7p37w5Ac/Hu7++PsWPHYty4cQCAjIwM+Pj4YMWKFejbt6/k60RHR6N+/fp8IVm1Wo3AwECMGDECEyZMKJf3QgghhBBCCCGEEPIye+WH7xmTmJiIx48fIzY2ll/m4uKC6OhoxMXFST6noKAAp0+fFj1HJpMhNjbW4HMIIYQQQgghhBBCiNgrP3zPmMePHwMAfHx8RMt9fHz4x3SlpKRApVJJPufKlSsGt5Wfn4/8/Hz+32q1GmlpafDw8ADDMCV9C4QQQgghhBBCCCEvFJZlkZWVBX9/f8hkhvOhXuugVHmaPXs2pk+fbulmEEIIIYQQQgghhJSLe/fuoUKFCgYff62DUr6+vgCApKQk+Pn58cuTkpJQu3Ztyed4enpCLpcjKSlJtDwpKYl/PSkTJ07EmDFj+H9nZGSgYsWKiEFHWEHxHO+itLAAijK2GIb/W5PEVbRcxmV0MdrsLoZfSftvVrCcFT7PjBYIXstYBpmwFBrLsvy6LMNA8lnC98GtwAq2wbLa9yG1XWHpNVPrCtcRPs9URpzwYd1Kbwyj8wDDb0MtaA7LQPr9S26k7Ai/E6O434v0q+gvUqu1j6rVmm2wrHZV3e+JexXBckaijJ6a1X4yfKtZcRu4pwm/fqDob0ETNCsKvn/ut8myRa/NrSz4ffDrCl5D+NuUyfTXZfW3Ifk7Zdmitgl3Toj+1n5fgt+X3t+66wpfo2gLuu0R0Oyzxn4Tasm2mWZgXZPbE7bTjHVNtU34nos+A+FnZWp/UPO/D50tSJV9ZPXWMs7gaoIfdTkdG14uws9FeP4wcZSV2B21ryf4/2tT0bMMmPE9SD/O6v/9Sn0Phn+nLMTnZfHVUtH5kn3VPx9CCCHlqRBKHMZWODk5GV3vtQ5KhYSEwNfXF3v27OGDUJmZmTh+/DiGDh0q+Rxra2vUq1cPe/bs4Qumq9Vq7NmzB8OHDze4LRsbG9jY2Ogtt4ICVswLEJQSdp65oJMwwMEwRZ0sTefKcFCKES/TfdxYEyDu1BrqxLHCzjvEF1r8a6jVgouyoo4F379g+E4YAwasWq3ZHhiwrBrcpZr42kyzDVZd1PmWcc+Tafr9osiQ+G9GxhS1mSl6DW57Otd6DLSPswDDyDR/y4rWVbNFAT7uM9IEKmSC98xyn1vRNsAAUKk1QQ3us+XawwKMTAZWrRK/f0ZW9DzV/9n797jbk6I+FP5W/9Z69v0ys+c+zH1gRK4qUTAmYBxmIwSQOICQcJGbt4iGY+LRo0GibwifExPNm3j7JDJJFDmS+KLmjSbRKMd8MG9CjiCICMyVmWGY2569Z+89+3nW+nW9f3RVdXX/+rfWevZ94GmY/fT69a36Vl1VXVWd4tW4Wht9D3QhwdP3uQ1tW+aKQsjlgJRueXsgdGkWlYGv29A+u3qTcCro7EveKHGIlElURKMIdXSYSfsf0xgzI2gdzF4mW6xOExlQycCn/AxmyjmL9Sgxv6gKydcKgpFFgtJCOIVSlmQQlVnr+JhMZ7N5h2OX+rSUpykEeajiwHCzVG0MyimOqArahHgB3yrtjcA2htrISsF2Oru1hwymhsAquGLDsxlO5LZd/YM+NeML4LR8Y+lbIY0R5XFtIwjBX6hwez243Pi7NfgrB7+vV6IrVhBKPdmnwODXvqRzsbVO7WySMrVQKpFFbm0aPnyyD9JW2ApbYStshXMWjORefI582Quljh49is9//vP2+84778THP/5xXHjhhbj66qvxgz/4g/ipn/opPPWpT8V1112HH//xH8cVV1xhAicA+JZv+Ra86lWvMqHTu971LrzpTW/C8573PHz91389fuZnfgbHjh3Dd37nd57t7p2RkOgbuemHMFJQ+VLNbAuB09KGWrT4aobPt1tlGfKH7LROynLkC9ZcbIPD9goCZdwzslzQZyCAe6me+gxyLRBQmYHGA9Xk8CCwb8/VEX2Jog0lJBOHy9rPGAFwEu4IIZ/peeWGGUxZA4drrRoWIZAI4liESymevze1dZa0UZQLIojS8VcYmm24gXJ18UjcAgUTK7FqrgBgGVlyBDyrMM/3BcjjUU1CioVEuDOSEM6EkHALy0t2DLAy3tQyUnh0QdhuzONnY15VacKw9F+gvK4s7mouihV8OFn/Ejzl+I5vdb/mWyvef+aReAM4VPNQ5F2wywoEsai9RW1wUcUirnaA04r4eN663Hj/Wxl0z7i8sl9ay6PRwDDUw7Eqf3q+8bIn1Q8SDVTBLwxQg0n3xBa7snVdVYYnRTjZ6R+t5GQbKbQRsQjxLAj1gb98Mk5L/085jLRMdUTxFVfpFV5hAld4vGzhLPf4dOCY07HGzlQbmym3FbbCVtgKX4Hhy14o9bGPfQzf/M3fbL/VhO5Nb3oTbrvtNvy9v/f3cOzYMbzjHe/AY489hm/6pm/C7/7u72L79u1W5vbbb8fDDz9sv1/72tfioYcewt//+38fDzzwAJ773Ofid3/3dwfOz5+0wQmbCprPmHnKCQQXp0Hekw7OJCsWcFRMmwkMXDmUeYs667hnLpsgNwhWZtjDlWPNtRhK0+5ZFFqMKGfpwaDPJAwSZ9mFE96YEAoAeeGFFyQpXe6ENSk9pO9dyMKP0InmkRNStARNYGdyVrWnwfcjhMywWx1UzonXZNF+Lovbt5iZRjf1Bo633/PjDV5ed73Wuf7rmIRV9sUqbXi4BmtwbM1SkezjcQS0DLJncLyZ3QpBhYU8YtKpjBEXk72gwlXzLQuL6lk17VRhOJlwEv0nGmatGaYz1o+lSPYchkVMvgtjuKvIk8e4MG9tabF5nGg4VLRUAZgAfIATR+LNC4HTkFfig0uasbza59YgLpf9bC6c6lLyc+FhW3X+ff+12IpjzM3vI3i1uPXaTP+WZfDnXPo9oKsMN2+u6ZMP5xt+ONvhfMaVW2ErbIWtcGYDcWlAvhXOUjhy5Aj27duHF+GV56/5HiC0cyKgSQlmL4gaE1Ata6sVjCZTWMaIZLQJNRWGWLlUD7c0epgzDyHaRia0sby5CY7Z507WqvEwtOJAdOVsXMcIf4jYgCvzHSf4KX1CkHWbhHhkMMgTmgN5CUNV9sfi7cBQc8EstFxGsPJQYNJswgltRjK30ZQvtwoBJ+Mpc9s0+5R8tZmVmg7mb5VJZv0dbv6g5oK8OK/UZ1qAK7UBkyixaJg115gNkWPCyMXduPih0jxmelnz1j5vHS8ErMsKOti2wngoGEb7Z2nWtKYBW4+a4awEzmvsXM+vB8GN31BeXMLJXFgAV6HGt4zi0sLJp/KdhP9Yj4l+49XmqCUEOR1563ID+NpZhk3I2TQmlD6lcKr1KWwnN/9pJKgsMjbGRnvkduvazATcjVs+51bszqAfnpBBXqPkvhn+Pwe42V+OnWv8cM7DeYQrt8JW2Apb4TSFOc/wh/hNHD58GHv37h3N92WvKbUVNh/ybZn9UtItC2SUwaScaoIKL0xRbZeaqLUijmlW4YITKDVveQv/TTGf3abtkolgq1t+W99abUQyGBgRqhFmoKvGRwK2vA23kCRrg5tl6ze7z86xcVO7Z1gHIfU/+VwSkrjgiUiG0MHnMmTBE4HcvPl4U2hgAknf2LiArRQgouDBCnLLNcEGh4ehNE8sx8cL7dw4jTE+JrT0vxvlKCDGrFkVY5q3LPhzZZkLvSGLEyGqbzARdnIFm3dsHXV+5W908SRAzf0v2yjL1f0q11i5m6WR4Vi4LEYgF/u1yuqsGi2uArKmyWOroFsvBuwmGOZTZcrPJDN/MuXGgi/PhNLXSxmvTa3TfKRiaV3oPhuro9mhzeVlOS9WYbJOeoyXV90up/t9TDidQy2vHcBYlHHx4Oot5FSu3AD1bxLHOnNhhavEsVU5/7cpNCnbyCePno36rwsZuQzAz2XO32BDUJ2nPt1OJqKqq4TigZHGfBTCKH+8uR/+bqUYN3vbg/Mfjwbcz8E4+3nhWKy9lDR2Hpa42ff5tM+l7j2m0yiXOlk81iq3mbynWM58NpzPu2UrbIWtsBXOTDgvhVJ33nkn/uiP/gh33303jh8/josvvhhf8zVfgxe84AWFWd1WODPBE+ae+CITRinBJUxHpuhgAqiBcEor55G/mh6HecfKWXsOSEcMeuZCXGBnICn7WrJ+euENhdw9ZI0VbYzUmWhu2HEewuR4AVqD0KcqzvWYjeUNAYSsTZP6XL7ORkV7OoGU69UxpCHsOtspHnKeWjCkRHZhFohGG5o5wUm+f1pvUbcys6m8F1RFFbZ5oakv52H3bdh42my7f7mIg0uBY82k1CxWkx11wqAsUPRtFMttQIIOSFI37s02VqhnOZk7Pm4kcwdgOB4DJjRVlfs72KTletM4s8u7ZB4HIoJVy7VGpQXbWLlTgW1RG3B1LwiFIKTOX8UV1Wk5xRqybthMWhetkiVtjAPqG8+wa5kBj3YqY1wcMEvgqmDU/jfGKuUoReWAezehEBAqvlWwys2dxpsRKDjG2w2Ax9N1N5obbHF8MALWz/IcMwEKM9B1Do/nvFkz0+FaO48cPna4mUStiGN66IOYJe7aUx+FIbXHfQSJqThHtniRV2Hrq3JBy0WQ9qNRjqPLyzyIE6fzrHiQxJVTIT+FTsYk10HBwaaw62Ip4MmPerA8yKIPfORHOGTsmcEUc152D6cAJd0g8PiXWutHVnRumBnk4kVdGo/O36KHzc3/MhqsEMjJ2A5RYXWB5rfzSYUWDlgVj50K/jsNbRSXRKvisa2wFbbCVvjyCOeVUOpXf/VX8bM/+7P42Mc+hksvvRRXXHEFduzYgUcffRS33347tm/fjr/5N/8mfviHfxjXXHPNuQb3yza0bgoTYSMEy8A8rGb6JUFopOEZXFEd8jOZuuUsNGDUqspcNU1+0wlKgl1lOs0nJxSxt9VIGRACKDEkpESjNVAznRInrpiNRBRqW+6rG+McL83HqnR2dRBQXM0WBB2X3+DyaXzA7FARt1eklBnzfSJvXqZt1m1jQHim9ZDnoDlWVgdl/od83eSsXxyB7E1iir7yMD4qQWktIFR5lWBsZ1kagm/vFOs63aEFWx0/mTA2xgvnprFmm/AsK3eS878p2MbGqlVuSRuFf5eRUAhC3N8BilQhggOpWmzEg0IY4FiNL2qjDWi7utx4TtD9e0rzfxL7iX1Ex6oU2pCkUzUAbFpWvm2P4V3d5H9pvY112Bj2UwqFcAAZl1Z41wQ9HpYqTg7P5ylwvVChh+aVFHLCO+qkHU4jmi5ugmnhUBcMFiIuYSJKfge1/q5RDpQFQ2NtkMvrBCbmJ5MhD11QEtgo7CEAIeRlH0i0DgNMeBTSC7bo3BiH3A97Udb6luAVEXE1fm7rhmDfWer1F25B94LNR2q/eNBDXtS1Hebn1s21W82pPYXNwUBun5hOHsEEuM01RNDUKq8uS7+WkIWgJxsG5VfFY6eC/5bkzf4ilpfbClthK2yFr8Bw3gilvuZrvgZra2t485vfjH//7/89rrrqqiJ9fX0df/zHf4wPfvCDeN7znoef+7mfw6tf/epzBO2XeTAC1n8kSyj8DxW33yMcAVc/uPyYi3GZlweRMj6Ar/o4QmBngsEJpDiUxBLI97IKY8RHg7AvbqY1fSTebIpLgR+hMTd1mUX1LShnxStmhMr59TfjxuQsI6jGxmoMXgZA7KwPZJ58Hct7MhI/yWBtbqYuvz+oHINzHkZgGx2300k1n+zcbKbcuWxjE+VOaS0sKszN6PJ6Tkqys0K+kx0rH0bKndTe9AX9WI31qfGda1zugzsnGsVokH+szZPcc2M41lc5vAVaoV4nxKvOUpdJhAtyqeLPETRmsTpjRpt2/clCpXaZhStslXIqhKrzhtwXSydkaoGQ14WUy7IJBnedM80OcDXlduR8tddzFZ4WzI7GYApGv2QZrxNiqWOsVcet1vQemfP0eewcd8WozFuXyxCdwjnTpBtXLnQK5U5nG1vSqa2wFbbCV144bxyd/6f/9J9w8ODBlfI+8sgjuOuuu/B1X/d1ZxiqMxfOb0fnKpgQcsnfrlZ/h3Rs6zC1u7es3dJgmLKGzqDY+BneYqSLqCMUC6rIEVrL4gNBggcmA1eA2CLAVbC0cuBGrAwnRbq0tC3cGNcyIyvDwzkr56bBlI3yVJLgx7YgfrMZp5kzgNJ3EWrmZnMjy3irgWxsPGujsBLocTyPH49izCTBHMuwY14WVoLBuHoGrmUO00qv4QkB6PvMLA60KqTdwV4ZgrMobGa8T6fI63SHU1o3ozVq1OPE83QETvcA1Bt1VYHIINTCjMWLc2XQx/bYgJmnIex25FDxO5+rKAUFmw1jOKYlaKgERYVwQM3tmmee6z9JOY1z1ioe5kW+zKnzKhS1KZ6OMSDmfCM4q45rHaue4zXMy9K1T8Hj7GrN+nL+8skLl1rBpXPju/cFaGtPx8eNreXl/M2EgPB0nMAV3HjXY6mgW1+R/A4aXI5AqGmBcpnlb61jrBW34fbjdpL7w8M6SHPVbqaJkz7IzmOcvhW2wlbYCmcpPOkcna8qkAKAAwcO4MCBA2cQmq/EUAlRhPE3FW0WAidRp1Bqgr3JwpKzl/2Tx42zOr9WhpKmWMRnGJz6m4p6C3OJwuSiAnipVlUBqX0o+lRQV9GIeYOF45LbRP8a3gqkjNyksvYPZR0tSir/W8KTHR9b1bn7FbMTfT8GcyPEsM4J5W8ootT4XjF7Y78HvFd7pFoCUw9OmcwAnINaQiaMB4xKcMO6GQbH9dP5zCrythgg34Zj5GomN2X1PrcaDKcXWoXQLlf3Qwe87rOH3zMRLm+hFOj73djUfj7Oj6uSHByfB1qyOzcF+wrr+LwL/hWyk52nenMqH7kZhrFghKn6KFhR97Ey6cwwwTAawoexfVMw4RVDXv1g+6Wang4ntpCPtYfSMfpgjJbjmPzARYW7JC+xMxPz47YEj9FgDKUNXpIXVdD2um74zX9f5Wz2dfg5Ceob0eFSj1e13BiOrfvfarv1TfJHROcaiNtLul5PVXuj4xa0zwxSk7zox1vXd70+wvCMqfur1JIJwDjjdSfoiVxpytuSpgx4/XfF+PjpsIlQ0xyDtEZ8pTpXLOdpmVVMsrfCVtgKW2ErADiPhFI+/LW/9tfwwhe+EO9+97uL74cOHcK3f/u347/+1/96jiD7CgnLGIIsk0JhUjUQJLgizK5cQ/BU1Vv9WFh3Ud5d9xUONFfq2FidLXiAQuur6Jtn1FERf+57qx0aK9cgkq0NqsrBEbr5ZjVfe0pdSlAugM2/+lY6Ya3LQUwHlEilsk+eAWwGdtxcHkNbN26Mim+tegZzXH9Txs85v0/OTzKzBRIGUSnumjHi8nvdt6bg00fc2Pk2FglMqcw3MLOsmmkytu6G3I+KlfHzr4yy5mj5ZRp0yY0hA6V5arVOB1Ck+CkxJGck1Gu3tY497CviGcNXZR3nfeDWPJ5ypfJ3Cc63IcrjZE6ji6Rq/2SJovsehnmqPdYMA1yc8ZEx9bZ38rnhfeqU7YqvJO9/qdH24AW0Bq4ofR+mtKIcAVSPTetvHW/mIbe1G+U2uz4Wng8LghcuNfpfXAoEAFWWolxrn9f9MC2ioSCL7ezyZ+zIOd4SdI6d85ZHx5wszuRoMD3HnPAzzz+J36u6bZRnr52vnPtjR35JKyTXB1SO5SkGtgaezGHBPG6FrbAVtsJWaIbzUij1h3/4h/jkJz+JP/mTP8Gv/uqvYteuXQCAjY0NfOQjHznH0H2ZhgEt5ggrJX7stSbYu/T2Ih+EYKnpWKgzTGimxTAUyTXDNhYqIYWXwygDXvB7DCXNuYiP1G1/YjMpt8uDhPKGWf9pB08sllolWJ3A8Yzu2O2+vqoDdu2NtOEEGK3vOVHfqJJPRqc6DoDhHGpXdQ0Ed65NJ/wbWBszauW4Eix4JiwziGWummGlMp2EyPcaAp6hreFsaYGYoKbO4+o1oU5VzjN+yjTUWh11u6QvN2UmxBzfsoxjpWUBZe6Zy7nwdRfj3xjXRUOtHwlubfuxdyYprvazEfwwDENKKAQBjTx5ba4AeWs7nyxz5wdr2cBtJu8IaMaILsCa7QaXBDt3qvggj6864waqMgxjDYEDkPc3AfUe0j0B5nyGSCRpwXihk4etfW7U2rB2cUDiw1D3dr2nudRkbK7DgeZLo1wt9G1pC7WC4aElQpMaT3jBjP/eKtfo81JNJqNHnAao4myuyin8telgqw2dbF+vNxdccFaC3Tml+FTqyHhXxzW3S4N+VMEL13T7AUPNJ5krvQ8oVr07BxzgGe8ykuaV9cf1yYFc0A1yWLdWhccQy7BFmb4ivXPWwiYR85ZAaitsha2wFTYdzkuhFAD83u/9Hr7ru74Lz3/+8/Hbv/3buPbaa881SF+BgQtCiLxAgVyeBQc2O2olmxYsCEZXrkIELGECC9Acl8wGmaVFlOZri1vNL8cUwRON+nsVwrqZ15sFjgHi8lNrbkZCqODZNGw5b+GTJHSZyVLGKjJo0qVBYcpPZSsD6HxkpLiQuX0EEWcTApYx8cxOZLO4a/W9GAYvUNJuqdCnJcTzwY/tydKaxjsvYOgApA7BLVduz2ff5+VNmdEc1E5DzSMv2PPlyKU3l9AiRmxRHt+KH4cGLjCGfSUn0FX1pyuM8oSLN1YT9jHYyEVKKcHJA3gqYVmV9XwZc45xJnpQ+eKzYjR9yRiWzbOdHRm0jPMHAmKP21i+q/BC417ApMVMCKbIBO5BzYxTathIhTraZozgEFBoPXmceNZCNfbLzpNly7SJKxYVbJynJxN8N2wefTMLRCM8iJRZPd5cJHQYTavXtx9jzqkt4XZRrDyHyX9zlxhNGfeIJlb63MD7m8Ktee+1ijsrw7HS+d9VaMWzGpbhriro2tsSTm2FrbAVtsLK4bwVSl1++eX4yEc+gu/8zu/EX/pLfwkf+tCH8PSnP/1cg/WVEYqbPdhFsiTCNDowQmWMCgk2c6gPCZxBG5mLbsChHIKDsyD22FFt7KyMqjwFTDRMbnWfHIPqwdR4zdy1ugRaOF6py5nqzDTpYuIpiSiyzwnr4Yi2DaQ2g1uYOlKhUiGUkjg6KU7AJOSbXKA0iQOSfw9lVoKYHjCDuiC3yu52OrqxsilnBDdy/mGorNkAS+eYfa5keQ/LEsnaLmoOlOpUxrNKXxK3Vut01VSzW3SIBoPoFXqtBmU8rBwXsHGjDX87b+Vkztj3k7mEdyTuV9Non+s+GXzB5inLBcXsw8ZouF4DOy6/GVLP2cVPLbg1NEjbXN0ksK8MG1V/jXkvmc9RUEb43IVtwbbyaOESrdIQBCK0xJel/JqKOhYFnzfVkQU+44V8gy6/4oFiCTnH2+AiaxF3Mip9/NRXaMLsWkhRT3UFWwVKrjtyXi8UoFop1HJG7fGtNSP+hbTcwrySLto8ZRsKb4n/NGkpHnPxAseEAI4xn1nNiw8580ZhW7FPFh/Lq2bP0gYF2AWQteHoBW60of1bpf8AiIKLo4y7HcRuXbGesdWyKmVqDRqlCjw23v6v/ee+g/OKLda2xls7Rxe1jp/kl7hpFQ42nOugtJdR/1hm129Hx43DJvH6cmpRXj/4JyMgWzw1W2ErbIWtsBWqcF4KpfSGZNu2bfjABz6An/qpn8JLXvIS/PAP//A5huxJEDbDn/m8A8pHopbXO1ZmFNSaF075g7giqJZZp5TgLBFhkfwzEEjVlEDM+QZ5uIK3lcc16Jl0L+ASQtMcyIoUL48Xirgnfsphp8G3FaZIGIjsN2Jh8DAsJbQ8oyfOves5FMJ/cNtPzpeJximnFfMWOU+lCCySEComP1VqTuDXpVCtqZos9CoIaZDxJomZSDmKeeY8D/57dLfG2ROXYy4dge912iwuTAnX5VywNhiIRtQ7llnhidFkqwAX7WX+hMq+aLoba4WnyDsol+Co+5SKZcav6IfP68atHJ2SGSLABIRMyoTUzALKdVLsdXJjdBIMwyBkqAeGYNW4LmMFjaF3DN7yoOOjY+A2mt+n9ljDsvqWM6xl9mGFJY4ZOVoacNTlTgYEEvzOQBYK10H3c91PY7jr7OUaLOeIslkTGUoq/DGVjLDin7IRE3SvAJtp51KUOJKWnQhJOEZkgYlWXr9Ml3YnO+EK2/cK11Z7ngF5dc3vK8UVMHxteEzqZV8v2vjP2pD/0Melq9HjpgI2970UZLm8jXir3AD/Bcpm9ybMkrHm1dqoqYYyLwGBB6SGjRXJGouK/7VdGBzWBQAc0jzbhZRW0lib1if77HT4mkIpvy+QAGA9mZqnjvyMGQZDeSPwFHG046NtZJiKM2FAJbVgg+2V8UY9bCrUrGBeFZ/lQdwKW2ErbIWtsGI4L4VSNaH3Yz/2Y3j605+ON73pTecIoidpMOaOh+e2Ha6eoBkyhWx8MmXmX4ULXMazhpAnYrmCwaVbXnJ5/Ys5StgimQ5yWW+O9wkQZVD9Lefgxq41EIvYTZ+Hyk8KpxKMQkDWfHWu2TnWlq8132nEJ2eayNdRxhoq7sXcVgmDvK58k7lXYh25U5rXv2YElP6LQgD3vQgccn9jCP7hxtxx/8y1aAMZfAxjblRQlcGvTGigyyutgchR1o0Q/pQ1kwx2WRNpGefb7WB5yeLknoanEKzVUJeTG/2g4yB5KcZcLsaUrm2HkEwWOzF1jBEUOul7NG2Dog0XJ6lL57SIywjR2OtiOoRK9GNk3XmhbCu9ylu8plmXs+VY4oWc0THVfnIdA+2fqG8t+kKeVTUxHqjcKnUlGDdD0f3NyJpgq5mhOPjzs135mwfezdHysGo+NNADNaOn0IIr0cK35dwqQMT5fBho6ZHGYzu9yEvFXlG8Q4UWp2obpbxgBrokbOe+B3VdqitGi5PighiTqTIR0Pf5FT3Fg5oXKPamnk153yh+Y7c/Pe7t86gXr9kuK+f3OluyZkjj4uBx50K5/8Ur1QifPsAVRLZhDPdWW77cm+yWBRuY+cVYd8a6uOto7ibydrFHT7ywSverpKfuy3lAAfZyr+LWhrS1TY+M4FgdoKrP2jfvR5JM2CJ5tG05W1Qzj5RYGNuJrv16buz89AKqqkyWjbsXK7PELH0KodrSHmfqGWsdGd3+ecJ0HMaIqZH4st/L8rbSfF+WIrsleHwrbIWtsBW2wsJwXgql7rzzTlx00UXFt2//9m/HTTfdhP/1v/7XOYLqSRiM3iZ3SAKFB0yl2ijn9TQAwZmRuTx1GatO6rMm7OAnmDmGS0chmMl1FuWCK5czZxVvCnL2yw2vED9N30+eKMotV0y5JyQbBIXRK0LUKdNByESlF2ap4MMzur4pgbtowvFmTgYl2T0l14ZtUBBUEoCuEeYsLiuJdm20XBNpCXmiWIhXJeD6Ps1NQCaiwfZ0dS0wyQxaZqzs2Wlmu8lWxs7GU+IxZibKCwCCW6fFGjMmwK1jLQ9kh+Ak5km6juU/nXNv1qffgMTEqNCOus7SWcszJ7NFjUt6yiuQhc7gIu4yw+PasOnsujyG1jPOMKDuf55/ZbbsFc1qHZ50qAQ5eZHoR78e2cmQZU3aenTAjzInbaLfm7KGGpyFsHsUoQWzAIC8jaiDzYRs7jOxy1D33zc4+OzSQ+Pb6Q7aZzcn6fOZaFP2NVVxh//dQZBLKb4gFweglyVk55zbb3B7msj2I5D2UBbUBrkEiQCFLFzw+zik10VZhFqkgnISoVmneztkvKblPd5SvGLdlJ7UyijtDVCOY5230LBbZS5SCORwoQ+1MKYFxqpt2Hko46G4VYVdxdYepi8tZ+A7nK/4dECPWGLxLV+klN8z7M5VPLndQRUdU8cJmSZww8wO15SmfNWFlQl14PZoypenI58B3gy7FAhlDEjy3Z+r7Na0nbHFWi33qO02UvjzGZWBz7Dalne0WUmnpRrzi4K6p12/z2YYnGNYvjfH8PhW2ApbYStshYXhvBRKXXPNNc3vz3zmM/HMZz7zLEPzZAv+cKyonzp9lJkbFjfihnKGIb/oiZFmze30ReVMuqHxRl5PNyn94pj0zKYAA+lPuyPuR53RVyMmYXbz6PI4ApAKosrVuSqR5fINaKGFldWU1EhUCdGiaKOsEsSkZXRZpQQm8VVlwqnSiTkTJS2qeZ8IYEISWoVOTFU4MYaiBcRB6nC3llnGURHZ7o+9CLnolhRwmn2ekasZDUeQ17enIVT7Q757htYzrjXcmjdW5gi+nFbPDNAkrzUi0OA1KB0P2TNW3HMyfgAyI+K1Nk5/4OpvFbd2Rwj4kWLLQ0YKI67bl7enkuAxQDYF22Yyj+DxMxVaqO50tOk1JQqp9uK9WZwxunylKhM0DMqUcc8XUv24gxckG+NMAAVjrE1gpX7wVHPKTN6CmZhxCMV+JMVhhteclmKlBdNeX8UgjsRbwWtPLVs3hswrM0UXasHvya6Lohwvn39/IFMr3ipX0wdL6BE9u1hpl4RHl2s2tmipkYHxWmsuL/vxbAUnBB+SJHW7XOS1dhkozAF1rRZnBvK5Wn1zwBR9K7d0g8Zqdcf1oc5blqPhSBa067kMm6CxtsJW2ApbYStsOpxXQqm/8Tf+xkr5fuM3fuMMQ/IkCwsJxfEDPRdrEAJ2I0hAUB8TJcEXfHZjADdBsRa0CA1JvJoAVUIphOqFIueBqo9AkJtRjomJ6KNYdAUzrUp5e3G0zSXjoG30fc4bY84bY86r3xUeLefN2wblosgNQv6mQpwujMMWhQAN0l6g3J5vw8rFnNcEIH36BgD9HOgmmYkyvyRV/1UAImr6FH173O4/oYSTUpyBLHhSOGKf51f9e8SYiVFnslcsHCOchaEwApkb/EqVV+Ne66wWdEltUMFVIUhhSy2++XXU9432q7w1gwDkcsVtd8UsaJlCKOfjdT8IA1RAyExYsfmqveCFaEC1xmT+da10Mv+gcn0P9phbx4QkDNB6AdBg/XfVvtE9Jmu6WI8hv9qorz2KAJG13sip3GSSzK44Dvd/jSvqPe/3mPf908e8/8fwhrbhcUWU/c8o+8Ro95/UDE32tMKj+1Hnptj/0fpPnOO2f9iNm/p003I2jzG35/GftqF90rjvh81NLNeNb0PKUddlbaRWn0R4VK5NNrNvoOq/+g+qzhWvBanbo9BK1Pwq2HImfxyTViTFXuaG7EU9gEFz7X9MfpW6LuFdIH3fmKU1SARsrAPbpgn2jR7YNknjEwFMJ8DGPNXfhRSfJq0v3piBptPUxrwH1qbAXNbKWgesz9ODExSA2Szvsdk81VvPB2SeZjqPsqZ1LFtrwebf5VUcOJnkvWlz49Z/Pf/1HhtdYxrX/cY5butN1wrn+feIUC8W2H/POE81jlKqF8BgkFfj5St25pHPF4AJNfW8JTitSlR0VHX+2AWCpmp6Vda34emNAmbKAqsxeqvqf/2LxgSaVQ+0aB7FYRiM7YK8ZzXU07Fq3q1whkJ7pWyFrbAVntzhvBJK7du3r/j9gQ98AC9/+cuxZ8+ecwTR+R4cUeFve5tBmVKybAT3W/8xHpxgDqUomd4V/jd8Zou6eHGrKWSIfrLb6hwnEtMHZ3KUr8iBgYNXcv32BKUyNcwAxFQjZDM7UiEJAEy6iqDMPn5AlBgIBUYJZgDMnMwdHINTl7Ox0pt2ljzaZ+2HwE5E4OB8nIiZydBEkAZxzSsNDojkIh7da3iTDubzQ0vX/ZD+my8WAOAOgIMBAHPI5ewVPp1fWP+DMh/y3d/Qm6NhnUctn4EbV1opbmxhzEQRSE06tTpnkuXaQDM+QrS7ftp49L2llWNUa++h/O7qG6S7/tv3KA5vvW8ZG+yqFr9H3L7M4HsYcv+MQXfl6pex0tqVV/aIkiDDa5eQgynoms7rOEUpOT7361/zUt53tsaitEGU1qP3RdfcK9JfMcPyeZsMZcVcpj1NwzYGeQncxXL/+/7X5SaTco9ZPyYr9N/tR7/fGmNsc6O+ykb7H6s+yRg7vGnfx3CMM1/VeQQYzNk/mwXNJ3iIuhL/2XpUIafmJRrOY90nn0/XdODBWslnVRsXiHjL5NeFwKrTuhNOTPiY8+XCRAWNnNPVaTMRsH0twxfXRJjl8K3v23a5cCFKwqeJmO3u2JYFQ8V8SHtrPTiI1me/lutV0+qY11VxAdAlgREB7qzjPC42j9X8d7ExN+Xrmzlvl+ObXmMkOMW10TXK6b6FTGK9VsCZ1vF9AttS8c72qdg3ZChX4/nRBgBMdrfi+2QouKCpMmzk6AZbxw5XFt/h1rQ//4PCpPgbeT4BcZou81lr51Zj4UbQ0WYnF4ZPZRjkrh0b1IW5tsJXWLDFu7UGtsJW+HIMxE3u7fwIe/bswSc+8Qlcf/315xqU0x6OHDmCffv24S3PeSHWuiwbPHpoDQ/ctQvTbT2u+eojg3Kf/5MLAABPedrj2L5LblyFGPrSXbvw+KE17LtoHRdfdTynAXji8Qnu+/wehBBx/XMPD471Oz61H3He4fLrH8eufTOrE0R4+P4dOPTgTuy9YAOXXXs0V8vA+okpvvDZJEy84TmPIvs7SuTDF/5iPzZOTHHJVUex98ITAFQjinHowR14+IFd2Ll7hqfc+LgHF/NZwF1/fgAAcO0zHsVkkhkEAnDfHXvxxLE1HLj8GC645ISTRgBHHt2GB+/bg7Vtc1z9tMcKAosB3P7J5K/sqqcdwrbtfZH+wBf24ehja9h/0XFcdMUTTqjCOHZkG754916Ersf1X30oM3HCbN/xyQsQY8AV1x/Bzt0brq/AQ/fvwmMPbcee/Sdw2bXHEtMh43Ti+AT3fn4/AODGZz88IMDv/sw+zNYnuPSao9izf93NGuHRL+3Eow/uws7dG7jihiN5HIgwO0G4+y8uBIhw3dMfRjcpt/q9d+zHiaMTXHTFcew/cNwYWjDj8MPb8dD9u7Ft+wxXPe1wAU/sgTs+eQAIhKuf+gjWtpVj+MU79+DYkTVccMlxXHjZ8czqccTRw9vwxbv2YNLNcO1XH8oLRZid2z9+ASITrrzhMHbsmkl6qvfBe3bh8CNr2HvhOi6+6qgT2gAnjk1x3+f2AMS48bmH3HpIZe/61D7MZwGXXXcUuy+YFwKXR+7fgUNf2o5d+zZw+fXHijHaONHhnj/fCxDhhuc+BkJpaveFz+7D+hMTXHzlUey7ZCP3h4DHvrQND9+3Ezv29LjyxiN5fUdGHzvc+cn9ADOuecYRTLf1wk8kpv3+z+/G8aNruPCSY7jwinUrh0AJR9yxE9Pt0XCEl00NcITjWb501248/th27L3oBC55ynFH3xOOH53g/s/vTTjiOY/ZfOufOz91Afp5wGXXPY7d+2fFOD18/0489tAO7N6/jsuuOQrPOKyf6PCFz14AMOOG5zyShTsS7vmLfdg4McElVx/DvgvX4QU3hx7eiYfvTzjiyhuO6GIBQJjPKeOIpz+KyZSz4CYE3Hv7bpw4ug0HrjiOCy5+wrXIOPLodnzp3j3Ytn2Gq286kvdjCIgx4o4/vQggwlVPezThCGXYiPDFu3bj2OFt2H/pCRy49Ghm0hRH3LUHXRdx3TMOGa5L/zLu/OSFiNzh8usew649s2LfPHTvLhx+ZDt279/ApdcckXqToHz92BT33p7Wy43PeRh1uPsz+zHbmOKSq49g7/71ZCYbIwiERx/ahUcf2IGde2e44jo9UxJU8/WAuz97ABwjrv/qR9CtIY8FEe79/D6cOD7FRVccSzhC54aBw4d24MEv7ML2HfOMIwQHx0i4488OgAFcc9MhrG2PBZN7/527cPzINlxwyXEcuOy46wnh6JFteOCuPZhMe1z71Y8NGOXbP3kAXOMICQ/euxtHHt2OvReewCVXuXVIwBPHprjv83tBBNzwrEdQCJqJcNenL8B81uGya45g976N3CaAhx/Yicce3oVde9dx+bWPu3IBs40O93w24dnrn/EQqKOsxQPCF26/AOvz7bj4skPYe8EJ8CQLkA4d3oNHvrgL23fN8JRrDyVBj2ip9fOAO++4HJjPcc0ND2GyA6C+TyKCQLj/zr04fnwHLjjwOA5cdDQJqeY9AMbRo7vwwN17MF2b45qbDmWNpJjm7vN/fhnQ93jKtY9i++5e/AAyEDo8cNdOHH1sO/ZdeBwXX34EJnRixvFja7j/dsERz3zU1oKeG3d++gD6ecDl1x7Grr2zvP6J8NB9O3D4oR3YfcEMl151pBDurK9P8IXPpvV9w7MfAZDr5cj4wmf3Y2N9ikuecgR7L1h3eAA49OAOPHL/TmzfM8eV1z9W0ALzWcBdn94PMHDtVx/CZOK0VwHcd/tePHF0igOXH8cFlzxRiDwOP7yGh+7djbXtc1x902NFOWbC7Z+4EABw1U2HsW3HvEh/4M7dOPrYNuy/5DgOXOFwDwNHD0/xwB270U0irn3GoSEt9qf7EfuAK576OHbuFhxBAIPw8L07ceSR7dhzwQYuNVosrbMTxye493NKiz3i6k1jdfef78fsREh0xAXraVvJ2fvoF3fg0S9uS3TEjUd9TzFb73D3p/cDAK575iF0k1Jz+d7P7cGJY1NcdOVx7L/kRJF2+OFteOgLu7BtxxxXfdUR12bafrd/Ip1VVz/9MKbbo8nYAOCLd+zEscfWcMGlT8gY5tk5+tgUD9y5G5NpxLXPPIw63P7x/QlHPPVx7Nhdzs2D9+zEkUe2Ye+BdVxy9fEi7YmjE9z3uT0gYtzw3McG9RZ0RHUGrkRHALjhOY85P6kpfOEzexIdcdVx7LtovUh77MFER2zfNcdTnvZ4kdbPKdERAK756sOYbivn5v7P78bxx6e48LIncOHl5dycHK+RQpvXSCHzGpzpCBfu/OS+hCOuPyq8Rg4P37cDjz2YzsDLrpMxFDyx8USHez4jY/jcQwO56D1/vhcbJzpccvUx7D2wUaQd+tJ2PHL/DuzYPcOVTz1apM1nAXd9Ku2ba595GJNpOYb3fW53whFXPIELLi3H8Mgja3jwnl1Y297j6qeXY8gM3P5xWd9fdQRrO0rc88CduxKvcckJXHTlE0XascNTfFFwxHXPGq7vOz6xHzESrrzxcezYU87NQ1/YicMPbxMcUa7DE8cmuPezScnjxq85NKj37k/vxWy9w2XXHsPuC8oxfPSL2xMdsWdW4Qhgth5w96fTGF73rMeGvMZn9+DEsYngiHJ9JxyxU3BEub45Em7/xH4AwNVPP4K17eUYfvGOXTh2eA0XXHqixLPYwhEazhccsdHP8cuf+AgOHz6MvXv3DuqywOdx2L17N99+++3nGowzEg4fPswA+PBhMOeXk/m//Nur+Wa6ld9440uK7/rfzXQr30y38p999MJB2nvf8A38LfQa/mff9zWDtP/5ny7lm8Nr+BX7XtWs99svfSW/ePod/NHfvnKQ9gt/72v5lh1/i3/y9X9lkPbZP7mQb9n5Br5l1xt5/UQYpL/9ea/gW3a/iX/ntqcO0j74j5/JB/e8mf/utx4cpD14704+uP8tfPCCt/GD9+4cpP/dl7+MD174dv7gP33OIO13/u1N/JJLvpvf8ZdvHaRtnAj8kku+m19y6ffw5z5x0SD9p95+kF9y6ffwL/79bxyk/fF/upZfcsXf5tc84zubY/iqp76dD17xt/ljf3DVIO2f/+gL+eCl383v+75vGaR9+n9eygcv/z4+eNn3NOt989e/jg9e/r38+//uaYO0f/uP/xIfvOL7+Edf//JB2n137OODT/l+PviUd/Khh7cP0n/w5bfywad8P//7X3ruIO233v8sPnjF3+bvu+XVg7SjR6Z88PLv5YOXfx/f9ZkLBunvfsNL+OCl38P/6v/1DYO0//s3r+eDF38X/81nvK7Z15dd/Ca+Zd9b+OP/96WDtJ/+nm/gm7f/Tf7p7xnW+/E/vIRv3vZ6/tYd396s9zuufTnfvP11/JEPPWWQ9i//j2fzt3Sv5h//G8P1feef7eWbt7+Ov2XyGj56eDJI/+7nvZhv3vY6/s2fu3GQ9qGfuYm/ZfJa/v6/cvMg7dCD2/jm6Wv55slr+N7P7R6k//C3/lW+efIa/tfvecYg7b/86jV8c/cafuPTvrXZ15sn38E3T76D/+yPDwzS/tGbns8vXns9/7N3Pm+Q9j//8+V8y46/xd928Wua9b762tfywT1v5o/+f4dj+Is/+vV8cO+b+afe+M2DtM99/AAfvOBtfMu+tzRxxDte8Df44IVv49/5NzcN0j74T5/LBw+8g//uK142SHvwvl188KJ38MGL3sEP3rdrkP53X/FyPnjRd/EHf3aID3/nV76KD176PfyObxr2df1E4IMXfxcfHMMRb7mZD170Dv7FH3/BIO2Pf+dqPnjRO/g1T/tbzTF81TVv4oMXfRd/7PeHePaf/91v5IMXvo3f990vGqR9+n9cwgcPvJ0PXvi2Zr1v/rpX88EDb+ff//UbBmn/9n1fywcPvJ1/9NbhmXLfHXv54CXfzQcv/i4+9FADRxx8Jd9y4B38737uWYO03/pXX80HD7ydv/dFwzPl6JEp33Lh2/mWA2/nu/58/yD93a+/hW+58G38y//gLw3S/u8PX8cHL3zbKI7465e8mQ9e8Db+xB9dNkj7p+/8Jj64/638T9853Muf+KPL+OAFb+O/fsmbm/W+/qtew7fsewt/5P9z7SDtX/3E1/Et+76T//7rhnv5rj+/gA9elvDh0SPTQfr3veINfPCmH+bf/NXhOvx3//Yb+MXP+T/4nW8awnTo0Z384ue9m1/8tT/O994zxLP/+/d8B7/4a36c//Uv/NVB2u/9h2fyLc/6UX7zS7+72deDz/hRvuXpP8yf/pMrBmnv+zvfygevfxf/87//1wZpH/vDq/klV/xt/htf9V3Nel/z7LfxwSu/n//4P103SPvFd/9lPnjF3+afesdwHX72Ty/iWy77Xj54+fe26YgXfgcfvPx7+Xd+5asGab/2M8/lg5d+N//db3vFIO3B+3bxLQfezrdc+LYmjvihl7+Ub7ngrfxrPz1c3//xXz+Vb9n7Zn77879tkLZ+IvAt+76Tb9n9Jv7sx4e02E++4UV8y5438y/88BDPfvQ/PIVv2fG3+NVXt/Hst136Wr5l2+v5f/7nywdp/+8f/Hq+Zc+b+R+95ZsGaZ/+/13MB/e8mQ/uf0uz3jc/99v54J438+998PpB2r/5yWfxLWuv5x952YsGafd+bje/uHstv3jyHXzowW2D9O//y3+Nb+5ewx/6p0P65Df/xQ18c/ca/u7nvXiQdvTwhG8Or+abw6v5zk/tHaT/+Cv+Mt9Mt/K//JFnDtI+8utX8s10K3/HU17a7Ou3bnsV30y38sf/YIi/f/ptX8c3063802/72kHax//gIr6ZbuVv3damk7/jKS/lm3Erf+TXh/j7X/7IM/lmupV//OVD2vHOT+3lm5Fo9yYd8bXfwjfTrfyb/2KIvz/0T57KN9Ot/P0vGJ6thx5cM57g3s8N1/f/fvCb+Ga6lf/1Tzx9kHZKvMbf+kt8M93K/+z7njtI+5+/eynfTLfyK/a+slnvt1/8cr6ZbuWP/uZwff/8u57NN9Ot/A9e/fxB2mf/136DqYUj3vqMF/PNdCv/x3957SDtA++9iW+mW/ldLxriyge/sMPqffALOwbp73rRX+WbcSt/4L1D+uQ//str+Wa6ld/6jOH6Xj8RbM4/+7/2D9L/waufzzfTrfzz73r2IO2jv3k530y38rdfPKTrmcGv2PNKvplu5f/5u0M6+Z9933P5ZrqV3/u3hmfrn330Qutrq9433vgSvplu5f/yb68epP3rn3g630y38v9+cIh77v3cLqv30INrg/Tvf8E38810K3/onwz5wN/8FzfwzXQrf/fXDnmjo4cnVm8bR3zjGcYRXzdIWwlH0BIc8YoRHEFfvjji8GGIzOMwLwpf8ZpS1157Le6+++7B9+/93u/Fv/gX/2Lw/bbbbsN3fud3Ft+2bduGEydODPIuCqdXUwoABXzprp048ug27L/4BC6+6olCy/mJx6emKXXDc53UWK4b7vjUBYh9h8uvP4Ld++aFBsXDX9yVbi8unOGya46COZshrZ/o8IW/2A8AuOHZj+TbC063G/f8xT7M1kVT6kAp3T304A488sVd2LFnjitvOGztAcB8HiotCCfdJdGUOroNF11+HPsvecKpkzMef2wHHrx3D9Z29LjqqYeKfoKB2//sEgDAVTc+Ori9+NIX9uLokR3Yf9FxHLjM3UQy4/ixbfji3fvRdT2uffqjDtx0vXfnn1+MyB2uuPoR7NirN9PJfOOhL+7BYw/vwJ4LTuCyKw/nchxx4oltuPeuA0Df48ZniRYEZz8xd3/2Qszma7j0ysewZ9+JQi3m0Yd349EHdmLnvjmuuOaxwi/HbKPD3bdfDMSI624STSl5XQoA7r1jH06sb8dFlxzB/guPFf5uDj+2Ew/duzvdXtxwqCgX5xF3fPZygBlX3/hw0pQynzqiSXJ0By64+DgOXHTE+ftgHD26DQ/csw+Tbo5rn/Yosk8NAuY9bv/MJWAmXHH1w9ixR/y0SNsP3rsThx/dmbQgLjsMDjBTlifWt+O+2/eBuMcNzznkzBII6CPu+uxFmM8nuOzKR7H7wjTnsU9Puz/ypZ149EvbsfuCOS6/6jHrB/oeG7Mp7vn8AfB8jhuf/RiIGNTPxewk3eCvr6/h4ssOY99FMjfzpIHx2CM78dAXtmPHnoinXP8YGD2I0pz2M8Jdf34RuO9xzdMfw9r2CJ7PzbTqvs/vwhPHd+DCS47hgkuO5WfniXD08HY8cOdOTLf3uParDjvTSgYzcPsnLwYz4yk3HMaOXXMwyw00KGlBHN6JfQeewMVXPG77GAwcPzrF/bfvBYWI65/ttM1k/d/15xelG85rDmPX/jnsSpsoaUo9vDPdcF59JM8pA+snJvjC5y4Ax4gbFUe4a857Prs/aUo95XHsvbC+AdqBRx7YhR27N3DF9SU+TNqUSVtBcQQ765yEI9Zw4LJjuOCSWlNqW8IRqk3pVCSYOWtTPlW0KV144O49OHp4G/ZffBwXXe5u0Zhx7MgavnjXXnRdj+ue8WhRDsy441MHRJvyMHbuKTUBH7p3d9KUumAdl139OPzJfOLYBPd+Pt1E3vicR1CHrE35OPbsdzecBDz6wA48+qWd6YazGsPZeoe7P5POlOue8YjgiJx+7+f3Ji2IK45h/8X+jGMcfmSb4Ig+aUq5NuMcuONTCX9ffdNjWNveF3OTtM3WcMElT+DA5V6rl3H08Bq+eNceTFVTKjVn4fY/vRDMhCtvTOvbhy/duwuPP7Idew+cwCVPOZbPMQaeODbBfZ/fB0LEDc9+FGXFjLv+TDSlrn0cu/eXt8SPfHEnDj24M91wXnc0dyQQZusT3PPZCwAKuP7ZjyRXeUHMD4nwhTsuxPr6Gi56ylHsP3DCvoMIhw7twkMP7sUO0ZTyZ3bfd7jzs+msuuaGhzBd653WGHD/3Rfg+LFtuOCio0lTCrC3QB4/sh1fum9/0pS6YahZ9/k/vwwM4KprHsH2HbM8Dsz40r17cfTITuzbfwwXXXYka2kS4Ylja7j/zn0IE+C6mx6EbRzROrvrsxejXydcft0R7Ny97szeGY98cTcOHdqN3XuewGVXHS7Kra9PkzZlF3DDV38p+ejScwOEe24/gI0nOlxy5ePYe8GJwqfcoQe34+GH92LHznVccfWjSRNTxmk+7xKOCAHX3vQwJjRzfhsj7vvCgaQFccmRpHHt/FYdeXiKB+/fl7Qgrnuo8FvHIeD2T10MgHHVjYewbW3DcCXPI750334cPbwd+/YfwcVXJo3rZJ5MOPbYBA/ctQ/dNJ3LaeLI/GHe8WcHEGeMK248KhrXgPqGeuiBvTj86E7s3nscl11zTGiMHugmWeM6BNz4jC/lyeYIRMbdn7sQs+OUcMS+dTEzB4CIR+7fkbQgdp0wbUoWv3yzjQ53f3ovwJy0ILpMizED9352t9OUqrUg1kxT6ik3PZ416ZnBHJZoQezMOOKK6gbfa0E843BB34FECwItLQjGg/fsEi2IE7jk6lK7YlQLQsibuz61D/ONgMuuX6AFsXcDl9+gWj6p3MaJDvd8ei9A/GWpBVGM4enWlJKw8USHe/5CNUnOsqbU41McuPJE0pRytEJTU0pRIgO3/8kFAK2oKeXqPfbYFF+8c4Gm1Mf3J4uCG2V9u3PuoXsXaEodneDez4mm1HPL8wZYoCnFwKMPbBNNqQ1ccWNZ75amVA5bmlIpnKym1Fe8UOqhhx5C7xwSf+pTn8KLX/xi/MEf/AFe9KIXDfLfdttt+IEf+AH8xV/8hX0jIlx66aWbaleFUi/CKzGh6ckBb1Q+2aHsBUbKiAIofcOExjcqffsM/Mi4vMziG0jDMv8C5g+Bht9beYu+jddhMBEJIYrMRGuZFpxj8DbzjqWHdl6SB6PNRElspwjQ15DYZS9N45PPCRYmgIJ7Whxkr+YQCh4tffN5CdBcxNKGWtawPkmu5TRuMoQEGy+BjSp4tA3mErbo22BLp54zUBFAjYb0tT43jLYGtA0bCLcPVDimz7szm4P2tH78PEo5cwBLZoYyWH8xC+WSKUxwjnO5gM05EQFzTM+JK2MHaV8IfiZhJOV6wZzpxjgwc6v7Lw/fy5y2fXCl37oWfJrPWwoioGOrwwvxPaW+jXIyslA2//bpFmeX3QfOZTLucv1zTHgBY71ezAyO8/jqXGvc5WVmQHw4qbAv+bWKhk6LJjjhGj0uc14q49KPLOvgQqCY87Jre9iG7dNWGwPYXN5Q503mT+X5kBjctKXU2TJlBreBgw3XxpgwgROM217T/qOCrdV/lHDmqVlxjFdpgxa0EWNeb7UjeFDyx8Mo1qf5XAvB4KTQZWF+SH7OmAjUhYSDg/gxA5IwRP1LdeL7EAHo8rnEgn9sjF0/ylc64daNnDH2aACZEMmQuubVdMEhQX01um/FomfXhAgUiv3P9g90k2Z8VMbdBJTV64RydVa48SjOGKstIU+OspesHMQ/oZw3fj3bOZfGM82X1MtVOdc1WyuEwgeXOeKHrFtOZ67hPDcnHB0OtnK57zYPelaEav6KcZQ1amOaaAw7Q7QOxSV6xsQIAifBWh/TYwcqaFMn9jEa7LoXU716DS5TqHiOSrDyepLODeLlerGgZzxcvUuDO/td025gim9j8WbNfs07uvrUQuOs3QonEVZeIKfYjKMjzkZ753XYWrtb4eTDnGf4Q/zmUqHUeeXo/Ld+67eK3zFG/P7v/z4+9alPFd9f8YpXnLY2L7744uL3P/pH/wg33HADXvjCF46WISJcdtllpw2Gkw6eYfAEjQQlIYnc0/XC6CbH4koMIxNu5JxaOqfj/kAuBFbGNI7EPayrHOo1U13FCxmqCFcSARnKvJ7ycE5XjekpYFFCqCKaQpVHiSbff5I0cmlKWPv5UMfPBKBLDBQTYK/qOaZR81o8JmIwvWwmLwmGAO4zk+KJ+7KcfI9IrD4lIk2HqyincCpBbrClTOwITGYkZqpnsDqPjexeOZQX2FDBo6+jzeZ5vKwfAoQX9nSd9BPFa1006cDzWdJIABevioE5vfg0F8n9ZJJfawoh+V2ZTlK7zOkVK32haTIV2JB8tMzmef3MY/qmN8yaDoFtPgeQGFJszPLLT/KqYmICUjnamOW88zmge3Se4NQn5YsXk5zwjAKZcIx0QkLIfeo6YK63NGSvajGQn65Xh/OaoASY22PKfGWmo3ppiewf+12xTrneyKUze1t7ymKyiwOmRVcTQjVu8d+VCW3lMeaWbL7ZmPnMDFuTnDQiID6WotRLBEQVmJHsC8ENiQEUGEQIafAoMyz9svbcHNfl1Jl9mp6Mv4rXRG1fu/5pPzSqQgfVXImc97sXlra4NsUHjXjGowx9pTUlO4fmA9iizrYJe8bz5vnw/O+my4lQAEASdAjj7eHJa5Fya5LOTFlgrYInBpicEK/rIOKk5DcKSL69Jl32u9SFFHePU7C+TkdI+EBRbiCQzhNheMFQzR3pGjNBhpw5gBNgkJ1LBAIHRfytvUlyj6JnjF8PZC8Ntrj8hOf1fICdD7AzL73sqJqsKqyzc07Px65LZ557aY8DyfmXX3bkyOkxAn3hdZJeOeRA6Yzo59DXXrkXPB4j2F4dlHJdAM+1DQLPklYsga0c9XLeTCYpXc78dG6I4H7e23ltL832vfSvSy8f6vk3F9hEo0n7r2vKXrP0r466V3dNCN7JC6bgVJ/4FwuAxAX39xEIilt1Pvu8SCIjS9YgeJOzsJjzmsmbTGkAXTyKEyXNx+HyFOvNfauW4njwZ1NNYtLgWyBZu1Vcd7wPQc8E5MuiZvurhgK3tNI3V91pKPgkDq6/vvvLhqKZd0EhfwmA8WwnHxashzNS7hTa4LPR5lb4Sg/nlVDq277t2wbfvuu7vqv4TUSFZtPpDBsbG/iVX/kVvOtd71p4K3L06FFcc801iDHia7/2a/EP/+E/xDOe8YwzAtPCkK+sUGru5IhpNxEsbk8IK4GoZeTG12tK2UtDY1dM9Tef18f9TeBoP5CJljHhlHUtv7BVHCmqMeVh88KrTgkndi/OwF6sgiQByLfa7PICZlZX1OHbnXRym8oSF4ZTiOb84g4PhBUm8JhOcrwLRpiqE2KeTJK5l+adJ+fdSmCbkCxyLqfpKoxQh7vahmha2M3qpBPYOAt2fBzIDLXrB0+6DJv2ScdNYNP5UCbA4gIbTyYgdc6rL0uF/FIUT0KGbdrJE+iuf4S0Kly9pH32wijV2OpCipumFNIz6r0bK9+Gzo0S2l2Ghyddek69yCtaFQKbMRLKXHihkjIVxmBkwYkxA7UASufUv8LlBa0xx/VG3zMMNVlGun9ae72O59ZMKKACggzHILvVo7fwVkkrjAmiWvkaeU1gAWQBEDMI/bCcL695XV0RsJfYfIpnOXR46zwFM6ef3KMHZYLSzCk/AcbYEwOIvZMJufFmHtYxEDwpoBhMvApWLD56+QB4DYL86hgLPBpHBRv55gawN/sxBHNz5aJLtzn1ayUiq4ZG1w8f1+T8KpvNM8G97Or2HTPIXTrYa4YqyFB2V8yBk9kfp/madHnsZA+T4XV5eXNChVDHhBoKr5r1UhLkmPBehW0TaRcE7vL5b5cTnRMcad4o5fzZqPgpEGjuzrh5Fhyhj0noVmiMRgATEziRP3M17l7JZXkxlgU2/2op6Tmma3syzYtmOs0ryF78C1lYp99cnIHUBkTwPE0Vxw5J+5UZCNMMm8DDkUFrk7zWFMbo+rE2yf0nqWMe89z1Ma8JRhYe09qwXHRCveheHwyytnp3dqiAy+dzZnwAwEHXPDIt4fZw2iayj71GKnKxhfHTFYqzqZnB9rQJi13GyO712aIU25xzUWKkjVU7p7S6jZvDKz5N67XzHqV8oBX3tMHCcm7MeDNtbKbc6W4j49LRsWpV7POOloP73QhL11iReZVMDZhPttxm4DkNsDnT2zOzobfCVjjPhFLRP0d8DsKHP/xhPPbYY3jzm988muemm27CL//yL+PZz342Dh8+jH/8j/8xvvEbvxF/9md/hqc85Smj5dbX17G+nu1AjxwZ2mduOhhHkhFEUIET5Dw2fEogOORqlLRWRUb8+ievi7ZazClQEOCW7uM1vGMCLmMQ2NiCQpjlD6XYZ2JdBW/MYkWSCVV/ILKUU4TLfQ97XrlP+VVYQETpJhbJNCQJVuTmWOPKfKnpgORl0VBhImCWXs9hQtKOEW0CAotGFYMiEqG4vp7HYiZ1AKYF5+NYnyXV+0DAxobNN224V/98ORFOYX1jvA0PGwXwxka+4dd6tR9UwaaCLOmHwakP0hGBWOqQNkxLgZFutNfVjAag2Sy3J3Oe4QzABudnszdmZf+p0X/th+t/3Ji5pSfz7ImgDTYzCl7npFmo8BRzI8tNYVufQblV3lBtJQbHjSzsFqadOZsygeXVSwaAubUBrk0uA8BzgZlKLai5F3pFY5LSlFLJJIkDGma3BoUQSXsFUBxRjJPbb7oHfRzMef5lJ9v6qPL6l94iojBKKIUhnOsFqrj22/K2cRH5zDb+OZ6j2h7aWiAsgoEFfQI4C62kLhO8VQK7wizErVcWHDQgLJ1NLRWdWo1I9Df+5M8BJ10hxiDeQuNWm9XRqI+pSl+FmD5zIRZMpowvV2O8ZCyLsXDffUmrTfDZ4FzVwSeImRagJsEMAneQfV4xRRbvrBEmEc6AgMCubtmncG13nflUYuqAThl1ym2rCSgA7lI8dmQm4oRglxepbsg8p/USp4rPIHUBHFP9gQRGWx4dTB9Fx0rPCBsq3488CW4ZOj5q0fzVTJbL5/aeb3ywvpV2UBh0DtzOYrugYjPBZlASZJJqE4rIlkLuy5SkGdGEpSA0hoyhaCQncIJbbG7cOpkLNbGXgc64xPXXB8MFVbpuEWlCtQ0tuPu1sx7y4GcgDN/oHHKOVvNPityq7Z/zuiHJBKlrAxhdas3gBqnQXHRnFdx36HqoLgmquK09Q7uLyuU2fDkbhGVtVOU204Y3Ld1MG3lI3Fj5BM8H+fRWfHCQ8eK1u2yNtc6N5udFZ0xd7hTaWLncCnmbsG2FrXBmw3ntU+psh4MHD2JtbQ2//du/vXKZ2WyGpz/96Xjd616Hn/zJnxzN9xM/8RN4z3veM/h+Sj6lJGRijTItKkQihDAhJYodQcZKVEm+wiyvIJ5XAWLJMvIM44KyShQa49YSSul3krwKr/oD0bia36lARhh1qDAElG+BKcXZ3/K6G8h8IywAqAnaJDlbxXyeNJaYTbU/m3mJJlMnavcbM0BvUmdSLib/QzSZALNkdkBdlwQc04kIVCQOJHOE6RSY9+m8mHTAxjwxEb4cSRtiIsIxgqbSBgHUTYDZLN1Aq0ClgG0qpg2c2pjNwSGkG+0atrVJ6m/fS597MDFITOK4kzY2ZklLCUgaRdOu1EhS04ZJlwRnk2kiwmfaf5Y2pP9U9T90qY3JJBF/NsYxaTP5/k9SXp5O0vpfnwFr09TGvB7jScrb+f53IhjL82jzP+9zn+bzbHYxE9iA9H0yyRpSnZhdEFJczEdSP/p8e95LG1G16dS0UfzWqPmIaChYOd0LMQIBoj3Bec+r1oHGRVDHQGawlDFyggy9mbc9quaaEIZIfIRZOaBoD+zyVvFWXgsqdKzwSDPU+MNRo+zr1vHg8UsS1n98uRo2eFqOl8JpfbZyC3CvoedV8XOrjnNEZdq6OZtNpgHgWHW7Wgej5QdnLOmEFf8RkexzMf8KgvPEjIxUkyd02Zw4iH+pEMxMzczmHL8lgMCEECowtwsBt/8owZx4W9WGJnCQysyPFcABJgjhAEQVjnUk2sUqjGLwJGsX84TkPEz10TyaCSCp1k9kuxAhxfEASJXdCUDP2V0SAwgQ/0vWYdtDlaNDN4cJvuzPz6UXY1hxV26/WV1eCOjzsWZxtEkt2LI48hxxmgK2/iDPo9IfRp+wjRtUQmL4GU7DhkwzLwvHIeMNw/vm80rjfZ8u4GJMcTHn49jLX/3OQi/oYyNivqf/6WTZfJxDNsLPwxiNecbaoE22p2O3pExxDmw+bKacz3uy5c5KG5tiVVdsxe/Jhfk2scZOdj2ejXIn3QbO+pm9Fb68wqo+pc4bodR//+//Hc9//vNXynv8+HHceeedp9Vk7u6778b111+P3/iN38ArX/nKTZV99atfjclkgl/7tV8bzdPSlLrqqqtw2oRSQCZcALkl84ImZWDkt9yKkvpqaAmmNNgt2whWWoUZXJSv1lSAI/w0XYkzEw6pSRiVvmq8mZP6izDntVLO5zV/U1H8x6Q2ks8i8V8UgviIkNtp58sCzMmprWhPUZdM15LT25DiEy9ImeRyYoJneVV4RCxChUnqQ0zCKhYhF0068Cz5U0p+LxpCDhGOWTkS57sq5AAln0MTESTF3o0VUrnZzME20gZz6rNo61DXpTbU6e/M959dG5zHitR/R58FiWpmAE63lK6cmbypUNHPozqIVYGB61MqNzezmTSPoh0Va8Yg+68qGAdUeQFkgSgybF5Q2iICbB3HMr4sr7ZXC2ss0HDvulvvQh4gTDaRxyFFYpEvM3erEntF5DSHhJMM7/mmF+EjXRf6ozWOBT5aVNGKwbe3iLIbJNMg+5CO3Dyl2J4+j+O5+lbHF5VfrdzpojrG+1JG87lSMUd+bsb2lZ4L3tRdBax6rojkwc7TTszM9HJBhU/yPTk9F39Iqr1ESGdQLTiys8vhGMMFKIe3WEOU+yEwq8DL/011pt3EhAQzgChCqgBCdP4VOSBhi5BQc2AgBoDU0quak3yOyzCx06SsfZsp+RE5CdD0U6DsvzCEJAATzSPMOZkxAiKApwQYiw+oeUwaRBTERE7zsuF/ikngRupbalK14fKij0kgp7hkEkA9IxKSX6d5RBR4wpwRp7C8rHkDwJOAbhYRpwATodtgxLVUL80ieBqAHmISHhBmOudSLqTJDjMG1Apzll5apZ5B8/QqK230+bzc6KGOzmkmJv99NP9TmM+zn6z5XJzIE3jew9zgC11kl3yF+XhwZzeqs7k6YyfujKWQz2Ntw9FYw3Nc6D9/IdBqY9kZWyzUkf1fnZslmq7O20H6WFgFAW4et58pmdy5DWeQRT0/2N+t8OUUPALYjDBvM+XG8p7HwsMnnaPzN7zhDbj++uvxtre9DS996Uuxa9euQZ5Pf/rT+JVf+RW8//3vx/ve977TKpR6//vfj0suuQQve9nLNlWu73t88pOfxEtf+tKF+bZt24Zt27adCogS3KpTZpFhJ5Fn0krexR2eKoAC5Cl5+WbEtRKzro3BSmfHd4wc8psJCrP+9QyiCc3c60DUuf44k6IQ3C1mZ/1irTtQCa/dSMmLgp4oCdksIjEWUm7SARTAYh4FQJyhUi7XJQ0qmkxyOak3v+RDwGSSb+C7Tl5qYmAqeWOUi1EC4qRghEicfNNkkvs0neY2tB+TSY7rzT0gmlTa50Y5ZaCAzFjVbfj+k+u/Osn3sLHrkx9jG5uQ5Z8iAMzCSTJmCcrsWb0BpZMXhU3Hm1wd0wLmzNSlxV6Yltn8w5nFwNYIV2vFz3Fm9tx3XW++XC1Aqtem31N+ry688aLhtwpl1Al202573rWbnlzMBV20CE2YVsAJJ3VjJ3Pg16zPU7dr4+nSCs2GbGbYHPuibxism+XwbjLU8iEJxdToj7G10CBW0pql/KkoV9eX47afgOHUbrrcyJrYRD80j3ojyxpmeS0MTBVBjS2h86xnXsWU2tkDt5fVhJYT3tE+q1AKMO2nxG8HJ5SS/PKX9VsQDaqJ4D0SQT0jnx/kzjEK5dyhGjfrk45ZhWfg9jzy9BMAFlP2wGrWi+wXS9cQUZJHKB0h9wVpi3mTVNd2PZ6UtLWzhSdleAKb5hdrWkiCHxX2mfBs4szkWM6Q6M7/STDNM+6Cyytwutf0uCPzv+nbwMSvR0nz/ZkkIRoRJYGUCL7ma5ziLEI26VOUvPNtYhrJhH4bg7qEoziqaXbeP3FCMqWEKKZ+FIE4TVcKJIIzYoD6CJp0aV6IQFEctBOludRHSSIDIebvugpkH+irfdl8PGu8JrybLrhMC5YgZ3N5Hvt4cTY7GsvOY8Auzgbnse7A+qzU71qfxzGNtV/ANnrBk/OXeIORpLj1uSVj5r8sO/64ihvy4vb31nni4CCfoVVuszi20cbycg18dDraGDtvl9W7Ut6TPai3wlaQoAiQ6m+bKb9iubG8uv9WILvP13DeCKU+/elP4+d//ufxYz/2Y3j961+Ppz3tabjiiiuwfft2HDp0CJ/5zGdw9OhRvOpVr8J//s//Gc961rNOW9sxRrz//e/Hm970Jkwm5ZC88Y1vxJVXXon3vve9AIB/8A/+AZ7//OfjxhtvxGOPPYb/8//8P3H33XfjbW9722mDZ3FYtHLNUjutS0/sOVIdQmBQzUjrX4svA0UaqcNmr2t82/7bgLHO8bEjhLT9qgy530bkeAGMI5T08CtNNKTeEKC28RSygMWYFGV8GCkvsTlgVSfd1HX2qha52zuq22DVQpqnW+iJvqgDUNhW+gdidg69Idpb6flncs7PvRNUU/sXTS+FzfIKwV5qHlVtiANxKweA1qbOtATZibk4QqeQ/HURI5nSRSWAs3mHtUcE9Tvl55bsjTcq14qmuzVs/SDKwk7LK+WiK2dtVGtR46pNBmCg0ecCN741QyuPby9X5rbxCKFtkBEy16lxrai1czwRrP7S6jS/r6qqPOGo8U25CNz8KUqBmmPHOlaDpEY/eOR7y78h1+WaPxaEVXFiQYUvzmZxHok38i/L69Z4kadV1ypwjOVthc30o2Aw3V/dMuS9lNR/3WnphCGDfaXMdfBpWsb9B/dXTfDklTjL4+MUzKE4m0lfyH6VRCDCKNv1K8gwD5f9sj3P+Wex8kwAScUcqW+nBF/aPxSA9BYAQVEuEVLf9IU92esq7CEZL5OV2XnoptFMgZEEUx4+hU3STIbcEUj80UcVjLgHRjjAhCjcIQlkQMkxeX4MFoiSV5e49JEYuRzB+TOUMWOI9lYSjsQJTEAfJ4TQq/ljrstQoWhLEQPztSQHAgH9BFYOSG3HCUBziH8uoNtI53TsgLCRuxFmIljqU31MjLABhBiBtQnCRkx9mRDCLIIDJyWiOaczFWL+Lc7c7YVacBJaBXnNj5F8eEYW/2URKqjKZ2EW0lB9dmncn80W17mWdvUcHzuPTViWVwzrb9f2QFvW1rk7F0Z9OXGOtnC2c41hENTNDUs16lmQs05bhkNPJ/4/HW1gWd722b1SG6ed4x6jibbCVlgSCh71PFlDp3t7nOVw3gilptMp3vnOd+Kd73wnPvaxj+G//bf/hrvvvhtPPPEEnvOc5+Dv/J2/g2/+5m/GhRdeeNrb/r3f+z3cc889eMtb3jJIu+eeexCc8ObQoUN4+9vfjgceeAAXXHABvu7rvg4f/ehH8dVf/dWnHa7FQYixwYEKuwGUX8ibJR+kKpBiF/d1NIVK9WJvCaTGyq4S/M1jHZd61bm1CVeICuaiEDSpXymtIyTtJTBnYZDWJdR2cgwdTYOHC6SjjDBkKL1AScoVdWjdKF4Voq7LRFfXJb8NjjCz+dAXlkIH5ogQQnKMCuQnsd3kEAVR449JiyqoAKsDa9w0vJRrkPa6ibTh8gZ9ct5PLWW1emG0zEk4iRBKTOrUi47RFpLXl0tUsr4+1xWO6EvBjBKryN+8CYtyXtqvEGAOZJTJArKAjbQO+WEyroqQ9iZzGrwgUdaIrifWMYpOi84zNgUj7X4PCHnKfxLVjYKQ8/vCw8tOs0AbJ+GwvNDaACubS6DEQbLHIgZOlWdTwoexPqwaCGZaMsA2LWGIA2vAoOvfYUV17lMLy6qjHPG+dE9nG147hsbyNuZkpXIn2561i2qRLanc4HT4YZDFae34iu2MkfJ27FV7zOrP+dgzq4JfCrP3kHE0gPzyneKcrkMkSv4Ig5jRdUnbkzsAXZdkux0E10DwupxvQeNqqgXR0gliZpzSk8kZkm2dXrqolqNj/AHk+yWGjUtgOMEyS/fJhH0EJK0qzaH16ijbcSvjpkKrQIiqASR4mpD6kOwBRaAnpngMmF+qKBciWAvgWUx1ddJXUOpeZHAgRGYE5jTe3IMigSdSbyREMbUzoZ5cpESO6eicJhN+AtKrvXOhJ0K6YAECIjgJgahD7CMoEjClNC6M5PR9LvWqxhkH9NIGTzrEOAcxIa4lv1yYJ20rWk/xOYBuFsHUoY8RXc+I02Qm3zEQJwG0MQcopCld70GTgDjv0c0jWMzkqY+IIYBms/xS5nxu+4fdS3t6cWXrJaTJsRcOde0U2rux2lvubHNuEvL5Gcpyts7kvC4umoTWc6/IFkGFUbq8G98F0Hx4FU/cKw5ht+YXIKDRyxD7NV62yOwR5OIiX17hNHLONBJfOe9X1MBvhdMZxuj5cxXOhkDqdNNxVThvfEp9pYUjR45g3759OCWfUnIz6/cCOcLQCAQSglVvYT3hbM8jU1lJk1lxf/0TZIN8I0vK2/MP+qJ/G9pbSiCp0MCETCluQgEFrWYslChSYUGQPiuBpCWzN1JHDMHKmRlFvela/W4STmiPa2scfN0t4cVYG6cjLEMJzC4L5/z+ZR7nJLrwE+b7VOfl6jtKQtN9ynXYmvUZGmMy2iUnlNgM9lwyRuWraq6pMFZi1XZHfzRA82PsIq06ijWmf7jItfycGflaCMhChqHYYyjnoF7zNATdbtkHQdaN8TrtfhS30dG1d9pOdlpt4BprdyBMWVWAN2ZaOWxicwTD2Sh3km0YzgcK7ajCUbh8SX8qBlhzj7VHdbny20AgpYJ7OZ9oOk3xrpPHF5JAxPxITZJPKSYGi7kzE5LfIqKkYaRCJNXY8o8I9DGbDer8i0aIaYnqeMYIUiSkgnOPd00rhawOE1QsC7If2Q21bnOg2mKaTmUT5fRnDESaVy6dYkiOvokIPSEJn1wdKm/IeaUciZaS5PFWUlYuajkk30zUKCdtpfWG5CxeyJsYyOrtuwQbSx7LK2McO4GNgD4AnbQRAxB6PWdZNMSS0IpY0jd6ESYSOhWu9ZzM9MCgOZuwkWa9CMQAmmfn5ep8nno5x5lN4zl1NmYUWgjwG3uhjjfTi4Qqo0PwLfoAKF//cz7IMKAxuKjD2ByP86toSQu4egd9aiMnLmiIZRumhucM0HFbYStshbMXRunRsx1OkqfZTPWL8PgIHZd8Sn34yeNTaiusGOyQHGPGqPzlsxGyUAd14soANKNFUM0WzaQaVWEJRy7dGqz5EHKXDX6yOFmbrlzLNFG/m48n9UXEub6Bl1YHu2nsaNcq4qX+Wwu4VLPLC+dc3BzTs2rchOyY3bR2KNdv5bJvDPWHYQSbjyO/xJhoNvFb0SoHFFyEMUDqbJxIbosBIrllhe9TglGZa1YHsgQxD1TGKDuezz4+nMYRp7w8uFGtp4mM8ExxvbWt+qFtKGzi/N7GfsTZuO8/A1nTTtdGQ6jBvpwwJhQdV+a/2yfPDOp6a/S5QPwjhHPNUDYEfm4Ah2PquDbvq6KRs4py4xtgqhNeWKB9XInR8b6jGCbhGzl7i+lQlGfsriZICK0x3uShXmjeWIMOoCprdbAzZ8FIei21KkhtvjDFJWGZ0HMEnqXhbJQ72TY4R4KuL0torEM4PLBKQwNhoF+FDse7VBOY2mWQ/oekMSRCKw5I5ntB/UslgVQMAdQl7Rr11xMn2TRfnaEzkPwE6rnJhuWTIAPIWqAsZwpEe5W6JDAJstdVkOVkA1laxCkP3NpzmmoMTRetJxOisuG5oPtCzwfBzUHGBSwPlpjPwYDQ9/IiIZIWkWiWhZh9LXWcHhuxV0uJskNzIoReL5SSpnVxVprTdGmjZxP8dVqOWT6leqkjIBDCrJe5AzCLSZuKpI2ORJMTKb+md0hOzCfpTOt6Tk7aOSm15VcMkTSt13sTXtJGb9pm3SxpcCFGcOSkzb/R59W5IQ+IEIkWFZIpX9+DQPZoCkDJobnOc+/sHEW7zs4xUEUrxOzDSYWzrUu9xr7R3VP+dO4I5DwtfPx5rW0VTnEuZ3khNJZbe9aaOm6XtZniyPERs+0EQhqkjHvz+rfz1vABhue4jxdjsBlktxW2wlY4L4Pu/4V7vt7/VflVy43lLdDJmcIrBUE9DIvouJGu+7AllHqyBc/JDM4zdUbpzFpE7V0JVivomW37XB7iizdQK8/IaqwFMEuIl3zDTZKFTFZkzrRBzgEs5Ta02ZB8OCUiNXNqXnihTMIgeNX0op9RoTOhR3rJRq9QuforcaHyuaVJNKDblhF2I2HBVC3MGxvlFrXJnIVq8qqNEnuGFJnlxjmlR5fOqPpkWjBCODpBTea0vJmeRCshitbIWrbVBebERDqhlJ/jZcPHbj4K08nem19WQbsAb06rfaGyW5RMY/SbCdmAQhxTFirzuq7Kc+B1J5TFyDXX8YIhtSiNljIsYn2q9r4/JFtjpEnchizDPVI2oCrocIEWczAwl9APwqr7qA5F3xr4tZXVQKUsWEKFo1wNOgvKIEHKlf6FVgtngx06OyyXGzf53RQ4ufOPhh+Xo1q/btx54x0wk8uaQJD1TyQvxBKYQn4BL4QsjBLBFHeQl9wI6JL/JBCSQEa1pTJicbJQ+cFiLjhXfz+c/EKRoFLRJhFXfXJpkPtGGmcxlyck0zfdoJw1ZXWVkwqWrRbnB9DOBVVByvHkSF3S9a5CtXaIEGI6P4hgr9YRc3qJT1/LY04v4M3EZDwQwjyiF7/ZNGfEaUjl5gxM1f8h2ct5TKk9e6kPkLxBTANFq1q0kOyVPV0KImgy2KZSLwBMAsJGjxggwqyIfkJJSDdnxG3phUBEBq8FhI0ojt5TvJ+InEzjPQOzPvVpY57GOQQRRCXTxbAxT2aNkUHzPvuH6lMc815cDHTpRVq/fkJ2/mWO3oHkOkDWA6vAy13M6LdiAwzOmyod7pzT81nXkaer/BntzzVfv3xXQXHTCMSt3SKPlWsjAdO+quJWuBHNZ5bUOxBIAWcDO26FrbAVzmIgoKTzR3DFqZQby3tW0IlrZAkpPVpuQdgSSj1pQz7UfTDi1D4oS0u5nCMMihoaTFXdZF3FcOO0GXMA8iKNEvM1jFVmhp7+iBxBrOZ5+nIdxKNo3VarfVJqxjlO9UQTclxuUQ2URt5COAEUTjebHRcm2UwsODkMzXUKZctOg4jZbmnByHGFtdaEMvMNHub1N3YrtUEoCEoi8VWSuH/q/Y2m2htEN34x/delJ5/1BjXGrKVUEpKuXEWolgQdnMByZMRNkJWJU5eYx8HPtwpwmwJBPzctgjvnLXeTZ9D8mnbJ3gSW4IhYZKGcjcX4YeZp5AQa+1pqcJowFnZfLVre53SoR4czUfW0sE+Fes8YenHFS/irelFn1vVf1U3DxsjvFc8oOKaruJk3/3OCg2JMZs9u/RQCd80r+0b9yZlmnr95V/MYvx6ljXqNFnuF3QueGgfSHvPCdL92SR5mUC1SB5teXpQ4xpfroS9qWR0t4bkvJ77lKHRl/+HzcjbD7nt7fZTnFWzW/5jLCV7wwv7GdLtQLeyauR0TmLaClyqq9oiawvtXOwnJ1gppzBgQ59Eh94dJ/NiksaA+rVFVXkoPkZHIm6h6X6Q0O0yCAUkJDkZLZwQtLP70bC3KODA5bSIdY/UBxchnj1/HsTH/QDZ7ZzZ/UakjIc+j7rc+Jq0gZol36KGXB2QPcCAk4VEUjSXM5sB0kmCdxyR0Up+GIjxKWkpJcMPTJK2iWQSvTdL+ESFXElZx0ljaiMmEMgTQiTl4W5pfmvWpDnUCHijVFdLjJ7QxTyaZQBIaTSbJV/ysB6YBfZ/wc6/lupA0oDZSP3qw9SlGBsXkCwqz3uYY67NMB63Ps5/H2TxpTfURoe/Tnp7NxZ8bARszeyCCZ7O0JpmBeTqnufaL6M+64OkGtUHM53Gxe2wROvyKKNJWDGkZPa2VruK2Gd7S+OCbP3AXBLeflmVdWo+W97RmcUOyFbbCVtgKXwZhU+hsNcS6JZT6SgrVAiq0TfxhroRE60xvaV8UQYkN+Uduh1MSlfUNFrTXHsrEC3nCRvkfPexJHb6qYABDhskTvrVAAWJ6YBplbIRY+Tpfxe06YQ83hICp7/ZguetjGhMTrihjCSTBmxAy5B2018KQlDmXo9wnmjjC0Q+2+iPVNgDYy1OOqS3bA7QgdY7B6cTbR0R6YpsZpq7CyAw5M7jrJJ0QOrYmlPcHkJ+TdvNmum1G2K2I/fwyLoYg9auYKvevf6nSihElca6tnYqwrObd+yepPVWz3AKTEr01wco+e2ODNQVmGo+5Dt9f17b1U0Vn7EBkNwcFUe/Gz8NJOQ5icKGZ5MaIszC8eKXQsoz3I29/dj7eXbuuA+RhzAOQ29B+V0IHtrLksjon43r7D8hz5VLePTtuQgDSvKnS9EqV7GO3D81Xj37lMBx75uJxDc/g5afXy7jf/8WckrYhhm0e3xhs8loZu3LwfQKIugxPCLaOM+ytcpTxka6HoOUETspjmNpIMNEkw5bsmljkN1JOnXmDK8vL4cFSrH9bInk92NpUwZn/XuHFIj33zPKwCuo7EeArsmOFQ+fY/ydrmcn8O6dxFn9FevTYeoLTKixhJu1XgYv8aDhPTX6rOkkX6at//jW9JCsUDS+A2O8ZZPM3uI9aB5NphhHkYkgMLU1DCUkjLIFOSdATSLFVOsbVPA6MXoVFzOBumnxyMYPXulROHDgRAf22LlnqM8DTqbwaC/BaMvvT9UFAKheQTB+nnIRTEUnzScdlW4fCXBwA1nRcOOeNAE01L4C1TtqQLcsApmmMiDk5vpdXejGt2ogAJl0qE8XcEEmTTH1kMosZIwPoIpgn8jCMPEaifsiAQnBITgCueM3wn+a3PSQv8Al9k8a43G+tM4ThzN68cF39V1Eupy8Pa9zyukdH9NXjvIjljHV9MAA8SvB+Bv0Z7btQEg7IC3tB+mhel7QVtsJW2ApfToF9hKpozWSsVuV5KZS64447cP31159rMM7/MKS/7bbJhB7MiUkAkiq319YBxNkpUDj5trrJ2e5zyURaYxJqoYYyjoWAq45XFXknrY6xLW7BfDv+BTrKL96xEjvqzF00F1hf+SF9VU5erOv75JxU4tx1QsTJyzX67LHXmNCbRDON5EzEEbL5oM4DJbI3PSmtVKljMKHEHRmzzH5cJW58hGeM9HtNHDrhkzcHMlMsXSK1pEZf+JMGzGksi1mezAmTY7oCSp8PfczCPhUWypogZdwUHr+mbOa1p1x8bYUixRcriEP5QZlJLmjSGp9K3qJFT4wyl3kL2pQdfh7ZL0X5bDiQn9Mu/lT7rhV3e8QYcHZJzqxxQKAj73MHD1nZqgM8Epc2zfeG/Kt9ito/YVDLFwrLfrDDBZ6XL2CDM8XQtYwIKgYvaaKYHzVnjuKZKcWX5i8lZRjmdd+K72oeQ1TGtW/VOvfPppPbCybo8sI6356OAhEGQrZQrlfFLWPwDGDzTLbiJzOhsX9cG04Dt4KZfBvFt1RDAZv5knGwebwvvvSIHN5QBplR7hHXZnP9524kDVw5Y7haw7rGzBwYec6iF1YRIbkOp+KcSP6EnJCK0ourdiaIPx5EwasxwcK9jJV4s1a8qU6yoTgYJEc2oZARA1mLarDhXVSFbEgDaP6iQhLC2LSqcgsnAUjy+QSoaEvkEmk9RhZFmBRXjWI9c5N5Vhb6RzknqWf0TqgWu2BnBYsJGgjJf5O8yBe75G8qitCTGOjXkskikZjrzZMpW1wL6DaSuRsTEGaMfptoE8UktArijymudejWk++mOAno1lM5gBHmjH5bB5r1CDHFu/UeTARe69CdmCcTTAK6jYg4TWZ5NGfw2gRhPZna8TQgzJIvRZ50COs9eJroL5oz4loHmvfJNHHagdSh+aRDODGXNU4IJ2boJ8kUMczn4G4C2pjLq4UBtD4T4WIAnZgBpKZ/c9E2myfTcwrAbJbWJMl32RfU93k/AlBhYpqdEhe2Aiu9VwiX9GRQmkDODT0zYsx1i/8xFqqlNLdL+D6RmYTsEsHtZV3KPPiCUjtYF/yAcBj0yG2i5XlViruAfjmroYH7T3u5s9HG+RwGtOAZ7v/5NjdfLvO4FVYLRoQ5mq3JZHBdshnOS6HUjTfeiBe+8IV461vfiltvvRXbt28/1yCdP8Fv8tZeZzi1fWSCQpmtSgCQb1Urs66aMfBxaWcAl2+viAs89nqQVqCIq1HPoD3PoMgn79NIb9Z6xzBIXq7j6oyV2agiiozkeAPiDBTNePFXYRChkrVBBKDPwj7N6xgZ+xayRharw2z5bmOnt4Q2tJx8j0Rh+DsRsjFKEzxl8FVgx4A+wQ0g38pqG8yFOR9LvSTldLxNAKhjaMRmDy8s9C/t5TO6msfi1lM+2T+ifUUMFZoy3DomHRsPN6NphmhrGtnUkcu5oJAZPMtrwLg9AQWLYZlYCGYddmP2c7/Mn5UJVso4Vwd4ofFQDFCeo4LeLQ6EUjNIyXwPg9Ul34hUayA5H1Z41KyDRFgLjRdMeNoHgbI5VZoGzvVyTHFtr2UCpows5W865yxmXEH3Q8jOdc0MxcOp32Puh8JgB2gxxo7JqgW1Nol+7nQRIZuv6t5hEfbrBHGZvagvsltmTqOM68wOTo8fHfPfJABbznszALmTdXvktEW5Bbz7VuH9rGXqzPX83nKwDTVSPTw6ng38zxARB1sRfz621n/aF6oRK2tbhFJB1xAg6zhdOlBIDzWoeR4xgyYTqIZNmIjp1GQCmqR9QTu2Gxy8c1tShOo6YNs0tTftkr+imLR7QGmdprjoM65lLR6eJDyXnKS7OJH4MJLx6gmYUuEXkXpOlyGBQDNOwh1iYMYJBuZU38Tl7Qhhg9GLJk9YZ8RtCX+EGRC3kb3YxmuSPgG4I4QnGHFnytudYPQ7kpCKZoy4PSBsJNh5Sil9Lc19d5zR70xjEjZSXvSc6NopIcwZMaTXC8MGI65NwKTxtI9JHYeLVWQyh2TM93Y2Vuhkz8f0Oh4YiNu7pA0WgX6nmPf1QL9b5jwC84ksNe6S36kI9LuSwyfqgfnO5HCe5uklPUQG9W5v7Aj2sAhxemWRepZyKc6dzmNnZna0PeeNa5J3zog7Jmk7zRmRtqU5n0/MfI92rqVysx7YMQWBQOtz07bCbJ723bwHqbnhfI7YiUaWmv8pvtVNZ2cbF/vNwuAMc3n0zGWH86LzScbuLITP63CI7X89J9IOT8JVO7QNJYzBViF2uMrK76OCpwauLRtztC4cXXYOQkHLeKLBnU/UiEPLwJXDknI+r2+D83mwtI0attM0Dmc9nK7+V/HBvjvVuWnlPdPzv6mB3ArnS6jnrViG42fBytVz0xvguQ0f//jH8f73vx+/9mu/ho2NDbz2ta/FW9/6Vnz913/9uQbttIUjR45g3759eBFeiQlNT64SOUQLOVVB9FORUD5dLTeWQdTcq7yDUAuIauGT/y5N57gKu1DiN6tvpI3qG9dEUCPPUth8ea89sGzztPLWbbTaAwrmSAVYpknghAK5TI5z0Q6yfxUXN+IMzpSxOEDqvCRNZIfA+XtNRLpyfoyR54PkG4vmSzLtE2Edw9JzcR5qyRCVzoqgB5gbVxOSoByrklKFOVMn/w1ZkDBGNNtBTPkcpWr+BP6Bs1NGJqT1AK7GaygEAQbnvt8YA3i4MPUq+oQ8J9mHlR+DsuqyQ8CY4M9eV3JrYmAi4YVHMvZea9fadT6cin54YVDRfwzaUDzmBWat9Vr3o9ijgxNPJ9p9as5HMWBltboeBnBgMBBmnlIzag6w6PZV0X+Na23KMFa4idkRiW6/lOZpml36b2OBQT/8/i/KYUG54P0VJTPPtGXrvJA2Yv6kXar2ERd4A+UaKT5W0WIJjKwx9fdVrSszHxczKRBE8xbp/NQzdDoV7VwCtk1TnzoCb5smAdI0gCeT5EJqrRMtWzH3IkrG6yIcSK/yyToXszXmJLRQc7DCLZNDlYrbzXwz+v3mjj/oshINakISjIWMY2PnROcizIng1F5k8CQ1SJHT64AMMT9L0xzB4lsM4CAPsPRar8QnhBCRtMQ6yKuBosXszgSKnDSakbS5opicJjeJZD6yrM/Q/S9tc7lnC5LAxi0NUlEOso+NjJE94badqIEmjTP9HtN/QdMZILD4eJd6I5LGsbShS81gEk06MAon9eilDoYIuWRPxfSNxCF7enEvgiKLllSKI0Zg3iPEmLTL5n361vdJG405aY3rZVYt2G6xDWOsBJcaTsX5yFqOM87y+ZC/MXx6efa6GzCMH3Q1XHVWan0c5m3g9MV5TwK20x5c28to3XZnT0PeU2kj/znvQ92d5nifjnHbTN4zOTcn2waePHO6FU45zHmGP8Rv4vDhw9i7d+9ovvNSKKVhPp/jt37rt3Dbbbfhd3/3d/G0pz0Nb3nLW/CGN7wBF1988bkG75TCqQullInyhJYjoo0hyaZhhVCKyJ5EtuoKyrYKqywTsn8ck+S+eYoY7vsiYZQKQDQ+JojSTAP86OGoQs2stg6PWqDQShv0J/toMGFH7Qi5E+bFHCgrJeq0R+SG3srNe2OAzDGxOWOGOIKl9H0+TwyOEpSqlcKunDBXRvjLqzwJNmmjU+0tgS06c8l5n7WO+r7UViIHW6v/1Jh7IHNXKnwATFhWyI50vJWOdKebgSDEYCFQ83PlhSHk6tJ4kb2ClzFYg2bo44lru7LXQssP7dznxpL2gqG6kD/oV6AVzMcV/MD6zJT9yri136quPEao3AManG+cIQy+MrJ8A/qu9rVUt1ECNfLdReoszbGqcA05YbGuF8/hgku4Fq3/lGHQXpPvaTFRlfBV20uaa7qP3f5XeBbBFkbKWf/rtl3/3RgZwIvaYNeGajyuhDdQjCH5MfDnXz1uHnf486h1DuiZ6f2CqQCKggmQoPGQfAJhOhEhVPrLXQBvT1o9KR7Agrv6qfhWCiR+gpKwJTVPSfuIAQIlIQyQ6lEfSUE6yCTaOyx5GSROpTlIXLpBEWD1089AFA0gAtBPIC/ipe/UQwRPKU+/lr4RGLPtwGSWtmu/HQizVG8MotW0LcETemC+EwjrQIjAfAfQrac+zdeAybr0mVMdcS3lpUjot6e8gYF+CoSNNC/cSd4OQA+EPsXDXMZF4qn/sAdctc9GPjFQeI53cdaMXtlP44wEFJPVQRrXNiBjpXERUiGIBpUGtz7VdFL9uwGpf3oJEvr8nXqZtJgctavGlr5oSLN0EBIDYRaTgKuPKc4RtCFCqZ6BjXky1RUNKj1Eue9Te6od3qK/rB9tfGuXiZqnOKu8MKrCx65cFkhV5avx21RoItlleVfI3sx7skCe7tCgbZ4M4fxlU4ehmOon6Xif6fBkms+tcFrCl4VQSsP6+jp+7ud+Dj/yIz+CjY0NrK2t4TWveQ3e97734fLLLz/X4J1UOC1CKQCeWfdJBPWZ45CiEdvqZNQxecuEM0ATkZhJ0CBhWF/p66XRnQGDKARJQdBwNkEz7R+UzsntulHabrZXOjIfMMcKj2NCi5doNHjNJeZcsBD+OObZw2a3uy7u8torf8WLeuQYN4mrQEiFXCpIijExS+pMVH1yBEqMlPqLMEFZ8nsCZqljhCFUfygc84tJJhyTJ6YDpfhsJsybwDlxbYSQiV27Fdd4NpcB5NbcM5Y6BfU8ek0KP272CpSUB+V0Cpk5duujmGcvlOHsJ2m4FuSzMt469jpntYmsCSMp98mthVJOVO0fewVLiHYKGAj8mm1wOW7GBVEpmKay3zbeDgTWdgpBnKWUYZMnjZohF5pUtRCh2FcQvzUCfIGvaqYofStv8FuhxYRR+zsPInWPRtKWUK1jxYpgGwKFRkEjV567VbzCbDIUe3PQ4GDvOgkybJ1WxYZt6D52+4Goak7xfrFS8zrx+9ufgYpHHS5IzrClTCd+nkJImk4quOq6JFQKAZh26XXVLoCn6TtPQvJNRIyoL8UB4G0dorxQymsBPBM8NQEwj6kcIQkdNG8EeMcEvD5PqGKtAzb6BGeH5MNoGpIpe+T0atxMTNbXArDeg0JAXCOEjfSSXAxIL8Ft75KpIoC4Q+oloN8u5aYB/TSVi9s7RI7o5oz5rg7YmKNjYLarQ3iiBzpCvy0gnOiBtYC+AybrjLgjALOIbgb0uzrgiT4JnbZ3mBxP/Y+TgMmJ9PpdjEC3IeXWI7oeiDsD6BijI2A+SeaDIRAiEboNBk8I3DO6OcDbgmgIAbxGoPWkWRw7QjdL2mcRQNfruCWT9bgWgI2YjtgpIcySRlnfAWHOpsmW2iDwRkRgAk8hbSRNOVpnUEfpjmee/WSFCPCUwLOY5FvTZF6pZy7No1xMpbzUEXgm2lETAuacXDmqMIoABiWNKIJpRzGSH60kdGKEjZji85h8W0VOJn59n7SoxL8UmMHzedI6Y9Gw0t2kF1Wty0GN6wWKe61xIb7UOm2P1/Sf1lu3VW3zRShtM3lPttxY3vMBtkU0+Pkazn8WtQyDOaAn13ifjWBzupmFvhWezGFVodR56VNKw8c+9jH88i//Mj74wQ9i165d+KEf+iG89a1vxb333ov3vOc9eOUrX4n/8T/+x7kG8xyFfOiXX7PvmGzGg+ogjyLwcN88ke/rbgliPMFRvEo3YFeLEO2VPAxh56JawIRLyM+IF698BdGLL53qthzsDjQEfN7gy1X23lauqndhXm1D4pHlTW8p1/IVFVxc8zaeXfcmduwFRn1v5Yrn2g0GFVRoe8JwaTlmkRGNCHgGwp70jHXuh7RLQfImjS4iys+8mwaJamzJkMTe1in3pUCJBsTnkGAFVfOvPjD8/MdqLEwThJNJis2pX+eNOdWUFkwsvlgkr8Hh4anbqNvzsAV2W0nLSRkdF9+e7UdnbteA3QvOSgfzbn/5rjkbFZKPNMjkwLQftTYQWijBJRA83mGfv9r65ZiUlbL/pyGUiszZmsLnMYFyDRobaDl4v0YjHIFEy9SWxh5srIq8Ho2NolgeltM2KpipHj9A9p3fK3X99XfXt+Dy1OutZixHz5ISxxZ7bGDKW7chhaQ9vVzRByeKsWIBWGGrn7YHkm8iPWcEj6lwnkh8w4kGafGCoQIcnYP9DZYLAAL186QdtUHpBdMuINAsnb8E8BN5jFSZKcHDeQp0y7up4sMQHEmIIaELkOah7AwdIrSICe5IOW8U7R57UQ8QDaokDI8TAL0TxEi5nkR5KOQhTlpVaa/0XdJcSnFGJ8qiDErlxB8TAegnhDADKBBimKHrUycjgI7JtnLuR+pT3wHdPPWpJ0YX89pM9E8aMALAIQnyCMmcMLC2wclBfV5NYOpdez1IfFT2AZDHYxE5DsrFkPo8bAMGmy1HRXUSJ9Vug4wxEl4JekzGcmsSgLiR59QuH5H2v5YjES6CkRyuR05O0Xu50Jv3ZspHvZjvSR4gmcrqBRLrRVICLsf9AxniDy4fMR6BA4V2b0OoFF06OaRn/3p0Rd7vVK5qKX87yKt9GivAru0GEl2pjZOFbcVwsuUKHLskjBxzp5x30+U2U+F5EBxps3LeOr6ZvOd0bk6mjZro2Apf6eG8FEr9k3/yT/D+978ff/EXf4GXvvSl+Df/5t/gpS99qT2Tfd111+G2227Dtddee24BPRfBiPzNbGJPPrlPnhEokAhVRMNIXAmS/D51bssjYfE/MeC4amSt/apvRkzA4gBtaHCUf11firyO8qcqro0U3/z40DCvXahXpo/aZoAz/5BBD66PE/WeivzsvGfm3BxRyMIdomkm+SYTY5TslS3VXmIGd529omWCAwLAU4NVy5lvDubcfUJ2IOqFXCqYEuYtC3/W8hCy67Nqd3UEzMVvBa0l4RgDmMS8HvxT0erXotZWKeZJxoLITZXk8RpQRTxPad4HlbmSHwQbwMbeK2BAfs0KyEys18wohEYOtmIdl0y413z02kM+7l+DG7bBg2Wa++77xOVQm0BRGAFmc/6sbaszccdKQ4WP6Xl0NvjayrmpvI2aCgxMAJzGjyn3ifycGZzSFXfrzgXuQZ4LFQbJ+kqfG7DJ2NnT7hbnMhNbZlcOJZ4rcF6FVxU2q8tlZh9HWQ4o15FWYULsujP1+nXfaCzuivniitsW4VhU8QJW11+3F/0rid6ktwjuJc2i7pp5dILOge9EFS5ZnPL3ELJ5cqj76APLegtIjpEAQHD1PJn2EUfQJCQfbX1MWlNBtGEmSRiWBF+UTKhJzpZZ0pZCINBGD56kF+TQS32cBBo0CaBZX+addkAgTGY9WEwNOwYwCaA+vRqHLgAb8vpbEA2obR2YCJN5BK8REJMPcEwINIuYTBNsdCIiriXtrO6EvG4XgOk8AtOQNK86ae+JmJyRTwjd8aRlxYGwbYOT9pau90kAbcSkYRQIQdsIhG5dxo2AaZ/GimJSGlLH7FHK0QbLWCBpjk1I+p/OIupj1hTfEDhD0obiScJjk17gYLm7CKn/yZcXJTgn0udZny5qAHQRSZjZx9StLo8FEQFzBnQe5wCp6SLD1gST+N+aRfHrh1ROLlECSB5OSbhNXwZObhpgWk3J/1QU00EGzWLCm3PRco5I602FUX16rIQ5Zp9SsicBZMEVyeWT7mN1B6B5Bccy62MTKmTiEh/buQqHA7jCUi6PfcxI0PvJO6nQOo6Ktls480keuPWD6oQqjB5km8h7Km082eahONTk7+kct9M9xudi/p9sc7oVznQ4L4VSP//zP4+3vOUtePOb3zxqnnfJJZfgX/2rf3WWITsPgj98ZT8X53HBE6WTPp3znsmVjETG5CX/PUKge6e/NV7VePFU+CBqmY1hzeymgyG1o5oumU4hx+AqGiNLKhk3VGZX8o+ZQOUamsKwBXyGb33A+NhvzjDUjKUyNyaUkOrMF5QwBaptVjBRiahLGlCc48psB3lim5L5COlrTBCCdNJJG5w0lfpoBCLJk8sgJGFU15kAC6GDf0WvGEMW8zOdM311itNrVMkcEPllNh1r1RbTNroONEtmARSC+LAQYllvZr2/LAAqOPEvAA60gVT7QOaD3Foq1HhsOVJZl8YjLM5e46dlGkc0gId0/XHW4GjC6zWgioXn8rr+e8Lba0NRscaqNvz41VW6cc233+zGu/zLrhzHXNbutJvCJoD7koEYD1zKn820s0G46LA1hHfNfqgT5NxzQSEZjy2CLY9Vox/NtWVgDtBuAZebFO88f+BIfwEBSLaOq/b0B8P2uweuGAtLqzvicFmutGi9wLH22e0L/9tX7bumc+z3oM8zxnTqlC/K45vy54yvW88bwaewc8b1yuaMMhPu99t8nuOC3xI+FDzaJaFzes0U5jeIuyQksfhcBCaE5Ag8JHybnHsn/A1GcpA+09fyOoQ+JqEMhex4PKZ24jRYG5iEJKgRP1ZhnoQvgLQxCeY4O04DwiwJn3lCCCIwAiUTtn6SYAvzpPWkGjn9WkC3EcEUwFOg24jop6lT3Rzo1yj5gmIgbutAG0lLNK6FZKo3ISAgmfhN5NiMhH6anKMTAvo1gWcSwB2hmzOivCwYIiV4OAlw5hNCmPdiVgnQHEluSMn3VHK8rmMM0Dytw9illwC5EwHXTM+15N+p74AQk8ZZ36U2QCE5b5cxRiCEyIhEydcTk8wpAITk82suZ2vHNjcAEHpObwVT0urqA+xc4S4AETIflLXXmCBvnCaBlK7XebRX9WjeJ7qsj2ldOE0pjs7ZObNoAcJ+M8d8RuprmewuMjSuW179ULII6Tzt5ugqctur3J/+r//hztuTCcVlzKJziaq/m2pk5XIFNA51Li3n8i5rLaFamQUCqOj3gjEYPcgabbh6h9rBq5Urni0ugWgURDmNSwdgxbwnKzAhFxmM1cmOMa+Wd8ncbKqNlcudShsnuXe3wpdteFL4lPpyDKfz9T0faj4gJ1QfTKOCXDktuOSgNyYCBd4uV9JwWRUvg9UMEtURIN+QFxkKOIcVuO+rrOzNLP8WlVD1w/J5ZsVxiewZm0F6KONOQ2VApXhn5UVeZ7pXw8MuLoKt7MScsjq31+gRwVahQdQSxnnNnK4DsxDA6nuKUfrQ8kIZJYCBLLgCsu8pzQ+5edXxa8Fjv6u/SoD6rJ6phPvuhQ9otFdktkYxIGJa67S1r1r7ZtG6bK7DJfUq8+DqHjqgbbS5ZH+c7tNjNUJ8yf4/qX6MEKAtYv+09Lm17lwjm6WHNzNu/svJjvcqlQy++8Oi/q5Rt/eb+2ekjSUdsZarfOXjHyGfNe57LufwQo0riPIe84Jm8m00Lk8KfESr70NDNzQ4H4txqwXZdbX2lys+kKpzDO4McfB4XKoarR5e0r2FJBA0OsSfHwqrnn+t8waFw3HIxQdZHXr2lGblqXxIwmd2eeVyJF/GhGxKH11dvWobJ0GfXTTEej7InXPuPLY2AOhrisU5Lu1xak/bQEfJATmQ101w86om8USIky5vEb2skskxv+1zufRhFuEkI7/sV/2nWsoxQl8aTI+oyLzGfH4wO6GX5I3ODJ/73jS87UXFmq5RDeG+T5dbhDS3ZvYv46sXeZJX96n6ZAMnLSwKVRsx12HuDaR/hdZ6TbcVDy4InJD+t8qxixsetw3j9k77CCmES9UyWRQ2U644YjjPk+G4sbFoNTKS15thNn28jpQrNN4KtyBVBxZ2ql1sc3lPM1GzFbbCVnhy+5R6//vfj927d+PVr3518f1DH/oQjh8/jje96U3nCLLzIGzitPLnoXyR/8utoEsrbqlYNKjcN/NRxT6uhGl96HgGmDJhKoc1Cyhk9SaY7IwQwClwbsv3q+4nkRFXqTknCBk7XJmL9piRTNeaB6YWowybCpiE6VCVdPsu7SRCzLVHIavEF47QXRukh3lAyeg4Qt4TWoM2HGFkwqbUkeJJeDeP1p7CEwIQZzZRVk6nOVRt6GILBGzMUh+Kcg4204CirA0DZL9VCk9F7Go5cwCvy0/rVaGVmX2R6381xtVY2RjGev5F39CX821o3uicxrt9k18OFIYgBBOAeBMwP2eW15cjvUMkAY2taWXAWOAlCkW9rBpzOh/QNmT8OOY2ZIxL8zQqCFiGc8B+GkN+pFDXo9/3HlmhmH+di6LP9RhaPzKRbFozrJVq886fXS5p/y6nfDcZqPpbxxcF4b3sh+K8UvKa/lLGS4rHh43W5bSo9L8eYxnDwXetJYSqHJprjBzMbPs/96nOm7vsfOApPHVez/gIjjHhgAlwKB+CRGmfulEY4BgK5uzZ75vyjEHGjwAYfYGbMi5ws6CwCfM82MfaPycUMRwDPTf18RPKjzsASTPK4WMPrwqLbG6sbT0j1NS1hkfifXIildC0a0PGgKNoyfjxCZQ0ygx+xYPRzsp85jXOmEGfUr4853qOOdzshSG2Juq1OYaby3OjOPP93Bi+ZjCrSbysD/+AiBeAkZgG2xqDmdITBes/B9Xkm9s5Hfo5CoGnmIjq2iN30UO9zAlz1mZW4Z7sp1LgKWu3C7JGGOquwUzzi3OAEfRlYbAIpCiNaV6xRX4IjkiaYm4/eoFlWpQGI3edzQt1neEK6hj2IqIWDLB+UNDHUwCELuMBH7TPqm0NJBNb7WcgB9MYonZ4V39btO1bkJxGMLW0g4vQzrusHIHdQesueDMQi3+Ppbm49xBQzHlrzIgaeRVSIwhaFba/LTs3N5OXl83BVtgKW+F0h/NSKPXe974Xv/iLvzj4fskll+Ad73jHV7ZQyiN0JRIGiDMjcW99xOIYMx1MTgfEEVzJ22aAv6k2AjhxH8O4b49VvAQj5JgzsaeMPoiMNmMvqDACXv7VM9QzD1AHppm4ZEsH0q2oGxfXv1QuZGeeWVKRTZKoHBe76XVCJCZkR7NuoBNDIYSWCFy4o+SfgRLhxX2fCS5nPsfMKe79fczmYvaB5PtBbw9jBKYTYF7m5UApz2yenyyf9ymvmPBh0g3LdSERffN58nOlL+uJWR4Dqd55qw1y5YTxnU5TvXUbXUgMhZr+zfuyDRk3VoK4NpnzN91UzX9jniDzBC+4kHTfhjoGbraB8kW3grnycftGeU7FFw3pi4VmfhgKC6XoGGrEftCG7TAK6SZSYI99ZiJzn7LfjwiAOJqAMDE2wdabCgkLvgKl01kWfFEEY6CKLTMIPm1RvtSoVtxob4Bj8leezxPjBjUbIcs/7IerS6vUuddZppyo+IEgvA6rkLyGzwefPhY/DcH64s+Aep5iHg9D1y5PMc5ujD1LoIy4X4tajrlcxxqXtRsjmwCbq7GInJ2DR7kZJ4W5gs0LuvKcCuMPGINa75sBbFydG/6sk3GiEHJeMb1LZ1A2KWbDU9KjPpZ4w2veCE6HvNanpnw2pqFL+18Z9F7PmGh+gqKOhwiLSBhz2/N2SUDWfw5qLijxebn/k5Nsd/YCJrSLrg0zmQ5B/F25M5uC9L9PfeojwBEsr7AykoP3OE8PWnCg/GJrdf4BMt7iU4vlvEm+FiFnhZ5/nM6NuZwxEz2PAjh0oNkMmEzSGM/nwNoUPO8TbTKZyFmZziNen4EmyY8WNmbA2hQxilnbdIIofcZkktK7AJ50oI3URtQ2plNE8cmEaWrD5l/PvBCsjeTHKZWDmlZOtY0ujdG8B08naR77HrQ2tXOM1qZ53QktQNInzHoRpDBYxo3myQcUd8E0jVgFY94FgggQ8r51+4uCuwAk56tSzP71DPXnYRPx61oNtu691qLl9jQAke0NAvK6rU36HW5yCAStsNQX1aAcQYXX3sF8gdsdDetRr35lHrNDoJH4ZvKuUM6GmYrPBrN+U5oJyBc/Pq70Q6rMjRXlmqiulVGMVTFushYG68UREGc8MOoHX8pB2QpbYSucyXBemu9t374dn/nMZwaOzO+66y48/elPxxNPPHFuADuN4aTN9zzCNmbK/wXajE/rYKgP5eEh1UbII1i64G/YDiRWp8/M+awZVKHw+HTfT82WD0H/UlwzOKFBkXflJa+vGCoQrXJaX5lW3PQ3xqqQtRhYTouJHSHImbFLXRhqAhTf6hv2Rl6DUb4xgLDwZt7d3NftNePUhs3ije/uhT8TvLCj6JQJL747ZgzumycQWQlITS77r2M86L+Le3g8ke5hM20rXReUwc0zXZvwjCyRgjBbsN8W7U3O34avxNX7cUkbblxTNOTkkaHHgqkZLyeF4yYKrtxIY8xauKOBm9j+LffpeMHNUrKr5uVhfGzuzpewjPFrCdXOVJ8GU+SwtJlHqQYBmc++gYaRwmgCNMVZKKcIqLZxdaYRua2+4IwZfCdXHRVDVZokkjv/FCdxBqfgDTn/p7C1LqSac+O02/w+Brtiq+ybzc95zcO2m+BGQqZN2uPuYSthHO9Gg2YpMngbxAae8o82aF2Byjm1F1pFkENkL0MWDbv5YvXZyLAzPGmK6vwKXHJeav22vr2ZoeHcctjMnNK3rd32dZMfJ6ch5zWTTMOPy/PEazLrpR+QzRA9Pdai/8b22AhdaGRstf65XgB6/tflkTX9k4nskvVdnZ+jy/JMhNZRqPRb3Y9G5sI9x8kGj2MaW3MMx56ewNVfoI3rtsJW2AqbDU9q871LLrkEf/qnfzoQSn3iE5/AgQMHzg1Q50vwh6FHzC2mdpRByoeLZVe61ogOX1dJI+mT0eNMmDtQ3C1H8RQ7qDx8K8a5IgGlCi60ukjHo+GA2guhjFiqCQ/VevJ5C0GXb29JG1VcCReOmfH35kJezVoNRZQRsuYl4n1oKTHkTVjIfbMycHlRlkNdzrVX57W4Prm+YhusM+fSbUxBZTn9193WBi/R0WkrljDBm9sY9G7dyajK50RclbuArIz1r+qT1u3hyYR8NpnRpmumK7qfJtio95hbkn7ePaR1YFd2fG82Mvta/eMHY4Fy/4w6d0WC7z+7vCaYzF2gkbwN2jP7T6nmtOCil8x/M2+F1yxSIsABbipmo2BkF+PY/Lluw+UZTu/yUAzWyVRwlsKiMbZQj9VZChndguR/ALIGJQz9lEIBRn4F0p1vwXVDAzvfKMWZ5pj7bAa1+hmjeLQoV25NN9RaDoXqGAls6VxNdXrT80IDpfcVKoiiFa2wSd7o94uhHh7ZN1U4xfkfbYKGc+DnztVQFxx8Ht3+LtJmzh2e8tIO8pKPVqcq6BwNZH+r5ej7pNrbDJRacfO5W+fONF7NL2MPM1VX/1aMvDbldzaXVo1cd1SYoqZeZqCk3fRMDqHwE4W5DhOD4ExHva85vTRTISuzo7dcXhYNMarM0J2QNA/bGB2HXG8eWLhO5XlxC8PvgzGtrIGwlpAFP1rd2QrV8s/j43dNG1+fskBqhdDCsacn6Pquaz6Pz9atsBW+DMN5KZR63eteh3e+853Ys2cP/upf/asAgI985CP4gR/4AXzHd3zHOYbufAt6Mniqyae14vppQMI2vo9UsWobRX0jebmVN8ftVkpvqDzh7G7DLMh3dnl8HUOCrqx30EbTX8iSctrW6CFnnAHKg0+Z9TZRW9EuzTzCRTn+vPbn4NcMMiFY16sEnx87JahNQNNuYwBbBXjZBsq59MHmV6GuYGlkV3lP9oHkyjk4svq9A6jqUztUa6luAyPbo9Uvn28RYyKZRuRL7a1lt9nLSLhF0oBqvdbw2HgxBntwtA2ft3W/vCg0GMZV8o5qRGwCNzXDCvhvNL3mJFcISxfW+RiWjHEznHlmoDg5dUsXuCkM1zHDlF1SebZyy84xHz/lM0bhi+p/SeAMCoyem8JUOr9GpU8+rTfDxwqnmdw3YNNyQDrD1Iyweeb5wWvF9XdFx5xM2MwSA5bTJq3KU6fbWetulAeSyzOGx/KqouJXyjcYmZoOct/NCCLGLGBkJ5zqZc5in01A+z75WtI8XQeOyX9XfvgE2cxUfK8lU9XsAyybd8IEXeaGgbk0F3QmqwMz1BiTHJXEb5n6GVMpkdtDHEvBWi3g1XWs6zRNo8JT0Zi+3IK9KRUir41qPfl59knFUam0iftmp2ql2X4m8GJFDm7qaDlTx1Cb3BhY1p3WBpfSSVthK2yFMx3OS6HUT/7kT+Kuu+7Ct3zLt2AySSDGGPHGN74R//Af/sPT2tZP/MRP4D3veU/x7aabbsJnPvOZ0TIf+tCH8OM//uO466678NSnPhXve9/78NKXvvS0wrW5INiaNneqFGSRY/5bOVdjBZcQc0udMI60sYTAN+Ja/1ArT+ObOQCv4svaqDWzWrBZPyqihJTMzDfdxlTUwyNCiuLWDI6IKeotCi0QqIwUdEKZ8eyeCFtWbYOxp6psLSegTEgnyKTPnEwH9VUhCuIsniFmBdGIXJI4yXxR14H8Daz3n+HKKRCFQMoJNrM2geuU3dI67Sml7riqr/GrOXS8aApqznfzwS+VzIA3GmwKCWvi2a+1TQiI6ng95xhuhUWh6FNdzoaMC6fPltsJx4qB9wxYwYxjyAjWzNpYuRiH5VS4ankXdEr/Lmuj9cIYkE1w6rx1udPZf48rUZWr19iqE36ysJkWQ9lg27yGAXmxjSvtB2VCfXVjO5OsXQwF/MXchJJZ753/QP1ejHFmxkkvCSAgk2Ikp6UbnTaG+QFyQ95cF35sPZOta1ajQYRhaY9RRFlX3Q9tvPD9p22J/0QRjgAsPri60mG5lQuG8wFOr9fVr/GpD0dC8hM1maQ6o/q24pRn4uajS34XEcTJ+Lw3EznqWRyW6x5zcwNKk0CteaTy1bZiTvVsknETv1vUWist4f8C4VTzd43rVEhpPp4oadV5wYzG7XESzv2zdSP90DYim6Nx0jiQX8GLjCz0BLK/JbcPTVAKgEW7yz2mYz0k13ZqJPfNvyzcEhI7B/6tdHLx4bm44Ez2e9NjiVYRxuDwJ5eZtE8LQxvHLQ2nQlYMDtyqwkb3lwLicaVWOVJ+4fm/at7TKZDaDEBj5U5VOL8VtsKTNJyXQqm1tTX8X//X/4Wf/MmfxCc+8Qns2LEDz3rWs3DNNdeckfae8Yxn4Pd+7/fstwrCWuGjH/0oXve61+G9730v/vpf/+v4wAc+gG/7tm/D//P//D945jOfeUbgWxo807IpxObSfB0jWTYFz6ognEog+WeM312p/IrlEkWQ4oMzf0Fh/zIKyJ2zlMtZP9xBDBRxqvPWsDUJg1YfXGCqDn4az6vwMApmJ9Wjfx2HVqfV8fq3CDZIhFn56XAACEZQqg8NM/UjMZHUV3uEsSlMXUzwRAA5AZY+RQ12679kmI0eqghVS/FCS3cTTi5uRGVxa+7GoIiPrSUlTP18OWLVeugqJPfXM7DGJPv2KqamFRdGixjlEzstxDFKdA8/l7TnsE+ovxgzDNcPTZIf9k0yC1PaFGBovH5RsTF+RbmxvEDJfI99a45xCzZgsDbHYLM17QbX7RWEVhsM5q5kvE5X/71GRItxXqn/XKavApvtaSrHQ4WA9q8wpTLISTBVwevyuYoGnw3feFzaEsTU4+bWguG1rivGiv1YkuAxwZmlMFP3qZgrF+OTxsVMlet5qGBgWjI3xdy5+XA4tuiT9H+R2ftY/1N6kG6ov8NQ9U9GSvG/jCtPJkU5e4EtcnrtrWjDwTOJro5Y9gPeTxHAnP0pJd+Irh/FWqjGLci8EAGdw81dY4z17PNrv95vOgao8Hu9bwDrm99XRf87rvpErk8o8wbKcarGqlo3xdnszcPdGZPPzdIEPJ+74sQfso4N3+Q2XEddBfl7sf7duJ2pEP0YjhABeXbqdAV9eIiWfkJzG6OkxOkOOmyt9hbRf4vCCOykuJXaWYfnP5bTClqLjG9eFm2CJS3jBZ2hkfiyQNomzvRS3Apb4bwN56Wj87MZfuInfgIf/vCH8fGPf3yl/K997Wtx7Ngx/If/8B/s2/Of/3w897nPxS/8wi+s3O5JOzofBEYWLvAYHh0taojQ2y14hs4T2CvBohXUdZ2mUNygnK1Tt2p/EzBkR5GJCMyMkBKjQE20al4faJAXCw6/inko0l1BI1od08KJGaGqfww50IubP99R+af469vjYf7WGjPQhzBYvB5zcmnKdA6Y3wGwTfgLAg+ZcPUMiArmoONR00BV3nJftIjSVQKXYNuErFgW1Rgi9aFl1jgeGutKPheoxDP2y8Dx/ahxR6vtJfgo98kz4sNq2k0sSKz7vCgsyttklk5zG27frFIba32LSIFTga1Vr+2LTdQLIOOLTewfj4tMKJX3ZF52jfOTMrNvvnNIhOeD/VjBqX9q/OXj9RwNcFvprwkOH7VxWgIknzc0HCYvJGgFLwhbNSxaay38XewDaxj+AsLy+3gBVbXOPR4qhF/eiXfGC4YrghOUiBYuWdsOPhWq9b2UA3geoX61sgbayNpYtPeL8am66eajmNOxdaXrnF15bZu9J1FpSASlg3Hz+T3dU9U3CKvQR778AA/WebK2ZfF8jBuqRa/ocT0WWmjQh8b+P6WQK7MXTP3nxtCVD6yU6Cp9HJaz/nN6i3TgY3TYyuIKR8Mm6LgBzbMpbLIJeAogFsRboU7nYn8UqY2qin1yOsNXNku+Fb5Mw5Pa0Xnf97jtttvw+7//+3jwwQcRY6my+l//6389re197nOfwxVXXIHt27fjBS94Ad773vfi6quvbub94z/+Y7zrXe8qvh08eBAf/vCHTytMqwdPpOMkD9QFjJsg45VQfQuX0mYOibqyRt7y2qxB9KzextjF/Cg0JvBo5VjMIBrDHrJD3aIckfnnyYRL/cqPI/T8nPuoJ359HhM6ekIWjkhjKOGeTTnJzBqXEVNVp6tMLepr+KOYuYamhT5FPGBs3KtZA2ZGbl/N3I/YxsK6rf3Um3ojCvPiKNT6KS9r/6aP9pNc20kg6RqzoTByuhojKv7kJG3UZ2usuebyJ5fsVp+uCVtPqPrp4lYVOVAz1ZyinFtYtAXr5T+g1hcUHE2uE8J4n+q6vLlbrcnS7H8jvZXXf/frsWXu5hFRCx7VIjBTlzDs8kALwZsGc4ki3IgRMDSj0jZq59s1bC2zPR90zzmmvYCgxmMLx1j3P+Dn1+qztcnVfKi/GdlDrDjA+2irGFODX/ziVObxBobvS718bY+SvJ6qP90LbKqVZF1Pc+AxaODKPyIA2EtnqVJLj6mkzXmNinUexg6+kbluPv3e2Ff2SARn3zzk6x3g7sa68XkKk9J8Hvk6TCspBPhHKNSEO5m+yfeOXDOUyzl4SE3VapM5FUi6c4jQD8ewEPC68da58Ga0LaGbfZdyBgKJ7y6pt6/NGav26nnSvLZk09osXr3rwuAlOzWbtzp0TJjLdm1TVGu9JrSquWY//7bOkev2Y4n8InDRN41r+05IA6bcJwpgVpiRYfZnbFMo4DdSvakWB8W8VLiIQPO48zoCHiW5ygblbJ3bH87lm+clu174+HgYy9tC38Omary/SlgBIqoHhlaIAyODAj2P9JVKQ99cRBaMaw3/SQS374ZVrNTwVtgKT+pwXgqlfuAHfgC33XYbXvayl+GZz3zmwluQUw3f8A3fgNtuuw033XQTvvjFL+I973kP/spf+Sv41Kc+hT179gzyP/DAA7j00kuLb5deeikeeOCBhe2sr69jfX3dfh85cuT0dOC0hsY4O4Z1eXElPFARagNKfSQ0qfp2O0ZU6aeKyG4Szg16YzOgBSWytW/K3DQISyGMCj8i4BGm19VRC0IGfV8AI1C8rjS46hk744uzvSJuCCj8QDHgVcSNsB1MdcVYaN21+UL0/W8zS6R5DbaKcOzHOmYZyn5J3Eox3K0XozlQnvDzY8mDTBlGkDSViZly+hYsPj93fkybXXXrhtBY/9V3M99BYpater8egcE6XbLHbLZEOGXz65/MWcQsqU8SbaO1VwomTOLm14STz5hWOQ9z8ey663uxpjGMt74ty1t/b5m1+XjNvNs3jRd2k4NlU+AMnRNl3l2hHM97YbCntT0/RjVsLdhztZmWN8K+kXfs3GnFg4OtKKqwCU6u96XC4b+5rZ767/CLr88LngbQjjAK/mwKjXGr9pj5FJT2I8GYTVaYVECEnC8F58SaRSjMrnMNmBYGzWe+g5Dr1XEj7TvKfvhqFtV9MqE6WxRnc10nVT9olnEPuYXgx9wEQii/1eezCSD9WoE7k+rvDpQBTl82Fo06rFsOhqq7dfFBlcUkyalnvszqc6iiB/z3+hxuBi9wzI2XwpfGmq7Hrz7PdK7I+aAqDtg0F/bTfE3FNh0xNk/FR9+nVdcxF9NYL82TCnW50SNIcOFIKHzBL2my6H1VjhQXeMF9s8LNjNtIXqNDuNGG258tAWKxNhpA+s8DRJbzEjGS77N6zZ2GoHXx4AdOb0NbYSucn+G8FEp98IMfxK//+q+fFefh3/qt32rxZz/72fiGb/gGXHPNNfj1X/91vPWtbz1t7bz3ve8dOFQ/98Fh34brD0+Ee/trap/aORDAUmF+oj7XNwqNy1uWQ7MO9t8Hf9snNVWHi/WpCZpPryjKgTCmOsUsvYLDMSZUw+bPoAWExwBEfxDbvClxUBPhbAS9maopn2HprnLO9Wr6wBdDQaA4BgyJYRj4wCBXrPPVZIe43oSuYMp8P/xw2c2oxL3Qwm67UTo8lY/+GfRSdd4Tzr4Npzmli5Cr20Cbl9xeuXKreSoGU8tTLl8HR2+SW1NpJdTrLsFIVOY1QZXGq3L5ZT24lwrd93pte+Jb0zqr3M39gOJLf0NX+qoia7gqg9J3kvqfAWVNiAGjWsHOKCyWm8Gvc0M2XMYzoGVct+QqQquVg6vX/7WONGAr1r+ba2PsdE+7Nnz5QkCzAP5irBoMg2foCzjL7hV0eGuZDNqtyhgyKvee9ldN4WqTHiqYHNdYBOoHOiL7pcDlFpLT0kArBB8Vd8puIqvxs/O3JegggAtBPEsymyYRi5aJNwfSfVSaCNXxVJ9+z/tf1pjiWAjO030XHWwFrhT/SvI6X+EDahU8XlxgVBpH0OVPhvM55Li9nujOglyvvlrotO/q9pxAKvfJvXbo91Xf56UXediPyK7/wnDrBY0tgUa5Jf3XeVftLUbVxtgYg3OfbM1581Q9F6X5+nwEwLEfriHXRqIx6jlFGkPfnnan+ka6puXsKVAWwSk9SqrBrmOZGuTea2LF3A/x8WT9rMaqGOMCxdJC9O/lJm6Ssqb92Pm/2TNmaTkdJF9MBxCZjl+hCacaXpYTAU0u48xiizmXDCt3Y2yMPX6v1zHnsa8PIK13LO8m5n9wxrAfe9fPUwmh8Y0b37bCVvgyC+elUGptbQ033njjOWl7//79eNrTnobPf/7zzfTLLrsMX/rSl4pvX/rSl3DZZZctrPdHfuRHCrO/I0eO4Kqrrjp1gE8hFEwnZ0az4BWUWFuJQ8jpWY3evzIXM8PM9WmTnVzX8UwZOTgo43+4fuT0ITFW/JAD1IroxcyAMG3kLdprdb8eLwdagxjPYDnfGLykjWanRuJGiKS4EX0MgyMduI7SzxxbCbtV6+qU77XwyRztWgOU6yleyWmMhf9Wm3fUDJz7WY5Z9aR5s41MUIyNoNU7GCsp5BnHmsrSSJtSbUHlG8yfSs63onsELnKmofU6trK+oM6T/+1A8HEHIWmbnuF1IQTPWIj5ooIkEaph83AR1RPpWvZ7c4hDTHjpzYI8cwV9ChzFGjR6UvPrRx9qwUtRuhH3+8gzCqPBpbt9NYDHLzf9UIDA7q/LbExraifxFJrux9O1TTbb+axAY6zG4CS0x4p8BgznvDVMNp5czr/rvrAbGZ4Brsj4r+jvWPBbR5neohv5jGBtQ2DLzI9+c/iyJWxC3Y/0xcyn6rFw8FufosvbKufaGCxvbZl0l7grHGrB5spyOWU6FgCDKWZYWmefE1q04jjZcn7/6DqucAM3X8AbmqgyhRz3eRWnVqZm7OBlh+N4tB/60mO7jkX9X72NkbFSXG7rNsguk3htwgiBUwWgrhmNRxn3Jo8v53F7/Q3jaX8bMrHxZyDvKz+/WswjLL9X7FzQ/DX+WwLcImCrzVUKdosdNay0RCwrNLKsHGf0T3BKa/68YIensSRelbM/bvzI16e47hS7UXSJXZuCsRjNeC6YcXSut9YoXTz/paVgjUFVAFzlWXTU55qHjdl3rcsv5CVBx36V9GV5l5bbTAVbYSusFs5LodT/9r/9b/jZn/1Z/PN//s8zU3uWwtGjR3H77bfjDW94QzP9BS94AX7/938fP/iDP2jf/st/+S94wQtesLDebdu2Ydu2bacT1M2FAVLJxIgFOUDssNe/nlkE3GFTEUwqcIkRHORlnOKJ8mC3g5mgSOWI9GUc0bCKEdR1mbkVB5z64g7LjReF9OQzTboEuy/H6QZRX44hIrB7HprnPUjMfrhP5QZMLVFy/jmfgyaTNGZ9BE0mgzZ8P+Dao9AlUioyqAvDcjIW7M2XenY3qQoPC/1F5c1z3xvsY/338IRJUk+K82E5m9MQgNiDKcgYa/+R+jSZQIwnUnuRkz+KENJYTrpUx7wH1gTNcHT+PaRPfQ9lhOwJbmbQfO6ec47mgNbGStKJCDyb5/mQsWAh8hUekBDY8zlInvbGvLexYh3D4vY72njrPOaxWjKPfv51Psbmv8pr6zFUeXUvEBVPWDOneo1g8wKQQrJUChqqqNvn7luNI9znmvHRNwkNDACR2cyXTCGf2dE1jgrV68hC2KR/HHA1PgIc4ebq8P11OCszCZTTXLrhJvNDJkyj+gLy+I9d/Wh8Hxu/zVCHBZy+PRf3WhdmIhuGsMk+TRPSLldonmi86D+GY1XD4+Ewc8pl54Yj5LnBKPi14ReZDiFkvTVo+OR8X8pwTm6a7I2elcPra1tmNs2uz9BirrJGHRWgg36w++4fJ8igOQ2kQAJC6sQAH1Vn7EDYYdFqLFwWb77jcxePU8CNW85h3/26YaDtL7AYAAeTVtXaC+6vtVHFAciaVFOuqp3emZFrnGOTqTcw1bRfHYVXdEyKcz5jHa2k8XTGpM7lVwI5C8pq7V+iJJzRs0nh0X0cE+5l8ZGVzhvdhxhcDOW90LvRjqB6k4Ghr981FwggTLwIN+tloAJxVysN5rzEFfn8k3WM/LpieeYh4ylXL7u1UryuCS84k7FPrZRxv9Fdez6vtsd+g3ic4M+metjqM6sW6IxspaHwp1FOgw4Lwc0/Af4CmFz/fJy5TMdwLNLfev+3Ya+nbOVALmJlm4O5GLbR+CowuHVf4I/BYbAgeJj9bmi1V+7TleH1/S8GvNh5w/SF5fyEbXLctsJWWCGcl0Kp//bf/hv+4A/+AL/zO7+DZzzjGZhOy9fpfuM3fuO0tfVDP/RDePnLX45rrrkG999/P9797nej6zq87nWvAwC88Y1vxJVXXon3vve9AJK/qxe+8IX46Z/+abzsZS/DBz/4QXzsYx/DL/3SL502mM5IcCYIerFEyJos9q/RdT5viXyyRY1+F0KYhHwRx5lk9ZD8vzyw7PwV4kKJNyARIUZIuzph8Ha5Duqyn5xAAIV8u6x1aDlyfZxSri9kBi73Q52PE2g6zQKjEHIbrt4ch3PyKnDqIMt4Zu0RhYERulDSVVYmWNw7Z7V5c6ZM1HVu3FjiwcE2sbxhkvuPELIJgI6rjiUBCNNkXgUkAlgcorLOU8fg0OV5lO/chSwEkrFIzzZbhxKbxQxM8+HONM0CDBE+USjHzW5216Y2HypwJKZq/pFoBYdLaKp5y/VlOyX/49aebR6YuQvBwSbEv8wpdbqOpTwl3SGmTsr5vPoMulv/gPn7kFy2zjMJlvdVvjTWDuc+1Ayo3a57IVErcONVQvnuiegWmWf54Nau/LYbfSXwOTtJ9+7FasvZ8ubQtVow1xWjaoDlMSgsBV0+v8eyeUk2J8gaptTAhbD+FJsecIhzLF6NYD0hxdokoxdLeNw8EbkmBCd3Dud708qQ44UDaAUlI2tQyMSqgUh5PXo4s/YnwWt/Go7xfXL+5nw/jTj2a9cYSzc+hUDKEfsMKHTF22NjDJFfcLZI2rvDT3vCBVzmLoo16mj1CQv64YDOxy/njc9a3uEHfzY5H2DBNlg2jRquOY2o1qnCIG0VJvCtMcpnVyrr8Km0bd0o9mCOGHaiNH9Ux3VvjtQ71oauyZxRcFHNpAMO5+i45XKKb/15489jE7hN5KKO836E4H9yZ0WqJsc5aJ/dXum6/DBK59ozJjIWgjIVvAe3Rorlb5893tR1xcXeLf3WKUCSvwrBnUP5oZjS12Zz/m38PS0l00CAauDqWtA5IMW7fl6LdZnhVNDNxFbraMRzFZUWP+e2rc+h6ofiSje2rTXtHyEptOZba75VjpDnaUE56z952Btr3sfzhiyRW2HRMAzBFfOCudzPUwiD+d0cbKccqku5TAv5PHBjTvXHEj6ft7QXHOYdByrn8WfXYB5Rjdtm559PcfK2wlZoh/NSKLV//3686lWvOitt3XvvvXjd616HRx55BBdffDG+6Zu+Cf/9v/93XHzxxQCAe+65B8ERct/4jd+ID3zgA/ixH/sx/OiP/iie+tSn4sMf/jCe+cxnnhV4Tz5kpFISfEM0VzA1jYM939R607zK7E9D8NKVugZkjSpto7otLfzXeIKveMEGCUGGrMnAjvBJtLOrV7W37NYwE2oFwUSUXuLxjrpVm4aR/FfIQcsEeV1FDt0+ZhitjQo2UPKB41X/MzcnY6ED5b4nSiq1p45/vUZCNW5l/zHIm4h2qVxfIiLKLxG5W//kUFr63+mrPSJ8YiQtDCPCu2wiOHVaSGYyIWM8l1eEwOlmOoT0TQVSsZfxDqB+DvUVQvM+tcec6us60byScn020SB9qUjz6vyzaPXpi0tEqRwBoEkuF+WGO2A4jwwwQnvd6BgXc9MN8xpBU60VVEugoBdKqqDcy5noHw2+XW17UWilt15cGytXl/ffff81NIQrmXsuPixvu0WMNQm0dvkCe9ncOK0VP9xcj70nMjFKkxbNkjIcDh/XxbQbrh5jXhVX1k2M4PzVguKjaq02Qn1sMJD9yzv8X8CmrTgBaJ4/+anaHa1p171Wwyx12s+mRGsMok2OlDCgfmySlhaVVbmmC9i0H4MO+jyZuUvZ3XiKcLEYQ6KRXgjOdWPsj5wMyxgMFTwtnOPnf5X9NijoxxHFyjFRLLm9kTchFs9d3pM5p/rRWjz/vuZib9YO7T3tUsFHPk+hscYD2oScRlNxNrOnY1BqFqOTcqK/qm2I9q9I0HKnYjXPfo9432caIx+px4obnyoc38LBHgKhSTxdaWuIEs3jBZzF/CudszA4f5p+r3iYi3h7TRhsvsli67oEE/SV+8Sv40G9Ln3R+rf0RjlUcaA+AwZURrOvw7D8JLEc1fwPHic4LWFRP85AUysl1jAtqsDn3YxTeB9cmWJRrjqPK87/4FnXrbAVTk8gbjkF2QpnPBw5cgT79u3Di/BKTGi6vMCphnxqp992cNfCJMcIWdZEBIwSknrYOmGSfveq7ElwZNxFNuUiSmZNalpQlHOq2irE6CpVdmX6gSoey2edTQXev74l/axNWbogqvtwTEZl9uLbixFGUPZZwFEcxmqep4S8CFEYlL6rkAXIL4p5oYb2o+sANW8TQjMJgDjFxQQsCdEmgDgkNXM50XgqXjszIYrMaecER14AaPOtocH0d8GYR+46EdBQST0yZ1OiWZ/rmPd5zOcqgEIywQtCXFu5eSo3mUheWQ8tgVDv2vBPafs51rXRV+MFmftawFit9dF4HTyTsjA0mOYRdG0aPVxqLBXrxpuAVLAU67/Ii8z4eNPSjjKDb3uM09rStRnIrWOI4NCNYzfJDoJ13DvZ8/P5UHNyINT0c9BgeGqhSeakRoZ7xaOwKfyQOZB15Nj0lcnkIu+IUGFTh/XJEP712q2fa/d5agGi/71s/Tf81KRiXJav66v9gOmZ1hQ05fqzL6EGY+DPEK1n0gHzWK7jkLQbobjIC8MVLzkzNDtubf6obE9gWC4w07Ls4rl/xboq2muHsfYK5+85c/7bWsgNuqLYdp6GaNEgvqmyZ9VYrMoErbLmfZ9y/mb/tcoaFavQxIS/Muc6H/4hBi8gNqEKhntjDFnUe2LBGFph5nxm9jGbavZ9FuzWe5sIZtI4OM9cW36NGQ0GR6fkVxuXB78n8s+BoGhhFdXeWIZkW4LWMbiWhEIDyaaJy2lhDH+cZbar1dyCO4VhXmziHGvt/wEcZ7f/pz2w/bM02/hYletW3R+s3P4YrlBeCTg5GmCl9oWG2wxsS+vcRLnR/m+iva1wVsOcZ/hD/CYOHz6MvXv3juY7LzWlAGA+n+MP//APcfvtt+P1r3899uzZg/vvvx979+7F7t27zzV4T76gjLf8yCYaFdPGyfdO6aPCxau8MGFVJsqysIeySRWQ8hjhL6ZKlNsgNSETcFVIQoTMBKhauxJ9Y0IpZoC6nFdhFtO7nFdgZ98nDMu1mF07YT2h6ccZVblQ1iVtGF8VQm5zMmkQhhVs6rdiIr4jOMeLuWHHFHli2fuF4G7YhqcsOkewG+J3jKkKmYgKx6imadTXYyHl5n0WDGkdgCOYHRENJP8ZRMAM4JjiPJvZelb/YYk5cv6DlMh1jEcBjvnO6HO52Ft9Vi+AyL3FbYgYQ2crJuiqCAQVIFWCFK6y5CVVHf4NoZLNlPnlcfNfM0R+rxgeYCeUcvl0PQcsz1u3QZCX8VSDEYv3mFvTyZSxhrHqR0HpyvwrQ2DfdL9pXjd2tYBOwyLBlm/f2tbPCmfIQ+6mzrQcRhgS34rXwPB/CxhrmBb1qbUOW8HXGz2D6qAQf22Dcr5/TkBXt8s1M9xoo/1MPIr5SC9uCf4KebwIIc+5nmnaPrXnlgEENdeUF9w4dPlCxV545Cw45QjiLsWJ3LGS/ahJx1O5wqQop/mcujxZU0okBWM4VPBlVXqcgGHw65CGn8tlzvYtwztS/4KlpFVlDSJfj9+/6XuRDAazd4KjYPlCZTu5riUwjcBuF3Fah6EQcmMvoMs3b36faR4UZpLw8UV7jxxMA5tl5HZQtufz5KNZXj0cCF47kDxbp2bjpVDfwdoU6tsAGAzZp5yUDZ2bnTwxxZpucZFFUwvmuVo3hS+6whm3L+dxjP/m4mN7qJoyryHbEv+akLIBfmqqjf9HRmVpWFpuIIQbh30s+L3Z0rUdk7HlYa/mxe+xIWineQDOVBtUlm9I42zcxmgKh1eqkwBcaSiWSBwj8dXn9JRCPXcGB43Dtkqdq5Yb7T+Aeq1thSdVOC+FUnfffTde8pKX4J577sH6+jpe/OIXY8+ePXjf+96H9fV1/MIv/MK5BvHJEQrOdkgMqllMwouUv3lC1DFa8HmNGk6UVG1mZ8R+8LeEoUKaVJx2LO1QC2b1eVIz2FbVWLw1MBXx6YOZ3MHlUWJm7OStIq28nhlVbSkCQOrA3VVRO8b1GiL2kpw4XfewkYNdnJomHwtdJtxMkICSyVtEVQAN9X5kphUwp8gar80DTSuLKDs0B4B+nnxRxehMDHorx7OsPcbzOSgERGbRXAhgfcmH5IaWyOIUAiIoae5MOrnccfAgrU/VfFAzByJKPm3VwbqOWfAvEaW61N+T9bmYb0dzCM1uhEdBlADlOrNKcha/J1HF6/VeEAeNfVLt6aq58segXcrEvK0bKoVU4kg/4wdUa1PyKh9jzKZfL5x+Ow2pbPaK5GfF+J08aCSEnDFAgLhFcQM7Ftff9X6oBcMtIdXgd4VDmri40b4HZVGeFtz6d4CPWg6tx4hk2XdA3o/WfRU480p1lDDldI7s0BZjsO7TRi3TLZ61mUwrxY0niXN3M/shoPStVfkaUkGC/lZzaAAU1GeNbx8OF3aGAwmdfc++Y/w05HO3DO35T/1AHhuSdVyft8OC1fqq2hhhxPySzSVOlbIvmS97xwD+c6kRWMKp/nIyNHlIqfHSFjDuKKwVqn1Yw6FLofk9dSatMyryeB9Io3TJyrC5Xtcw6vrXNaoXL4XYRM5GUuGwCJT9fwUNgTykLbym+f3e0/9aQy8+qeDhKXpH41Nm+CpnsCmvcf9K016vFZRnSPOMHdYydF8BFGafRTNlmwNT3WHlp77tyhYXnDEjyKCVr6bbXfnh7qyLs5u4qvlBOO0DcAaC7+vI/q6HQg8jO148fVVl5owsbX9QuVc2pVV1JkKxbxpjcS7D+b58tsLCcF4KpX7gB34Az3ve8/CJT3wCBw4csO+vetWr8Pa3v/0cQvYkCwUjCSOk9JNSil67KTvx9Hmzj4rCiad7SYjGbgO1Hm/W4M0kNO4dmbu8BSGoEUPknGEt2mWnkaWUsKuvQKScYdQxUkZZzcWs/QYR6xn0gukuJqI6iNzhVDPdPl3GJb9iRUDUm3sxEwQEXqmwU9gCqOMsWEEUh95Uwq6AEGXmtTCtkTHSPutf/U/zRkZ6tUfqEXM6ZUBTXtduQSjNYYy7q5dlTHk2M7jMy5Kalvm5qOaF/XfvU8rDoOnzHGfrOxeMeX5Kur5lFlDU7M/Ps28jwinqNKndRGpoV2yfiZDMMx71mte1onOha9DWjZpiZhO+VJ3sSejrj87Ez+9Tt9btRadiD2leTmZO+mqVL9eRCWCzD7MuCRNVGKKvGAZ5xUiIfX2Z0mvhFRo3AjvpPGleH9fl7jXvGq9mDkyDdR4GOEnHXp1AK2NTz3vDZ1jTfE2RkPZPmUS3V+r9WLdRM0QtZmAzoTKX05hfFotD7hMrzE2InO87VER3a38TCoFG/RKXvmKWUFtw64NtbatJHxVxmQ99aZVCwq9RBdAEir046Qe4n4uJFAMcwR0Bs5iUUEMyMTbfe7M5eDpJ2ozMSXirpssdJXPkLmleUd+DxXyV+h48mZhZKCYBmEVEfahintKJOMW3TUB9wn887RA2esQO6XGKE3PEtS4NwcYcUcy+ed6nvLMePSXYwvocsaNUbn0OlldUad6DJx1oHtOlwHSCMOsRQ8obnpiB1yZJqLcxB0+nadznPSD9ZwCYdqBZj6g0waxHnEzSVPf54oL7Ps1H37v+9wk2SuPGoUtjPJ/JGMc0p9NJbmMSgPV58m9IBJrNEaddktf0qf/Ui87sWpdgn4j29iymdJmbOAmgKPhTyjFSG7QxT+kUUp8nISH+KP1INx6l+XIIyVxUnZ33vfiblHJdkHKcTZl1zffRtPdITNAJAIuvRjt/gXyxQt6XlduRjEKZtN7J8EJbMa2XH+48dqebvfCW8ZwenUaamdRVkQpaCKLc/wuE+QOgK/Tpu5d+U/5hbXic3K7UUQsJey2BaalAalnaZoMXtA0aWYq43dhVZ57NU3B0QDW/EsnO7bF8zkhhWw08DWPvh5xq3vFylY9LPfPhP8qZ5P3eWqCRONx4c7mPLO7W0ErAn84F5atsEACtC7uzHc5Ad7cCyvW2bO1tJm8jnJdCqT/6oz/CRz/6UaytrRXfr732Wtx3333nCKonc/BEvTtfgOKwIZ/giQ39603r/PeaSVMkrb+FkKHgv1Xq7fV3X6/AbZECKXJG5D70EYNAg8imN8zKoYWgjSGVhgkA+mL/tusClt8AtzqSyxQ0FjeyjLXhb7m4KuPnKADEataiDCElUy9fl69TCBWzVFDBCQComR6zPY+uPj8IyMILIsS+txf+khDME05UEPD1k+gkzvGb5VTYMCinPiPc2isI6oyJx/1i1IIGuDHR8R1h4H2dPt735SEwIJbK/MUyYKB4jq7eI07gMdxunuhyDEhFjNXLLvviGK4Rdnuci8Kt9eTzOq7K1ds0B3MhAgPH8bl7jTlchjcKQUrj2yrBCXAKIhjuR0tQTMP+n1QoB75KIGticZccDoJ78WusYHBjVgucAGRtWzaBEpgL/2P5okPKRR+PJvgBM2iSXyu1s0cFAyo4Um3KaSKXIrM9sMBqDtgnQVQSEiXhEwNJE3Q6SXl7zv4QtV+zPre/MU/wAOBZ8hMITmPGIljmSRZa8DTBxnMVGCXn+5h2AMckJArSxlTKbfTgNRmrjRmwJrCpn755TBcbAg9P5VLkxAzYnnxf8kYPmibNMLvomPVZy3l9DpKxoo05qEttYI7U/z6ZSlv/OxefyLjNeus/tA0V1KggSoRL2JD+MyeT7kmXzxLx1WjjNuvT+AAiMJrkfaMXPUqPiECJpD3Iy63cR2nD9V/8j2le6sSEzbcha9Y/8qHCNyKpw2CbZ5+SejaJoJ+RytmjBn2fBERyEUOMpPE7ZVl3TnO5n5vg1XxoeQKkxseycweE44Dmc3vUl/dmiCokqS467MVAL0SpcLd+y8eMwt4qJ/BKtEaZbfJvBIkxD9MKYU91ji/AhZ4WaFW7eWbOdbBVzubGmS8zo3BfoT5Mi7HMZ7i9vu1xrBMM5mF3L/T6S5jCh+uIxq613bi8QTn/1q/WRUURr9bHquXqvK1yS03hR9yjrBz0XB8ve05lP75tD+e5hEnDGGxb4TSHzYzr5ujQ81IoFWNEb1oHOdx7773Ys2fPOYDoSRoKxA5Q4U8Dznyv9eIMFQc6+duBWmAk3xjKQKQ6rIzlrcq1MOsoY4ihWV3V/pggYuBnpTAf0lt0JRKjY4wqxtLqAsysjmho8leLmTTdH3zmYDy3EZTwiwyQ3Mz3jQOelMl2JJUc6lT3mco2jMBXeLxDa2ubSuKRUcLeOsiJrN+kNz1uJDRwNVe2ZiAv5hkB3BmBFZiFDuQMi2o9SPmFNIITgNJYvCn08+lurNXJt2eyXQ8L0wn2wq76kFTtnJxEEG0ieO0dWNw/724tKlMr2mUFYVit/yKvjoGW01t50QjxBKpppYiWA5nZo2iS9JyZOccYDNqQtikEGcJqPYlWU/rs9iNB9oLczqvAEADruo8RZk7j178xc+V8aJwd3siaUw4V+TXOvHSMi7lhNsGJmZR52DzzpetMBBHZXI5K2OqV5/thYEZZQ46ot+7kPq8Sz9MkC9WYS0Cfi9f1XONmRZuFwExxb5GHB2eM99GVzxzV1oUIl5Dz6Fy5MwgAMCGLep+CREhCEuenkAO59pAebQBEOBXARPaUehTBFDEjblf1WkYM07SPCWCeJq0/1VZkealUHKPzTgB9Qpe0bZLSiYBtPQjBTJQJQJyIQAIM7tYMxkhroI4QO0qvNhIhTsW0OXLSBpIxV7PXGADEtaQENumS7z8G+klAUNgm22GPQPE2EIWknTSPCIxU7zwi9Jw0imZs6znosp0xAiPh9nkExTRv1EfxfxdEqwnAdtGKVByBNFaIKS9Ptsu+ZzBtsznlnWuSV3AkIJpMnMp1zrcS0kuIHADuGYEIcaKCMinXC65Wn5ZggNdACDaPpPOo/XDm6rR9mmUmck5zRyaMYzl/iRkcUt7IZP1PgHQCJ6XXYAXvaDmK+pgJTBOPGen8FnqG5tHWJ3My/eco+MMz72oqrd8z+pYRqxx36163vat701E+Hle6PV38lXzZJInyOUz5jPXl7UEPbdfqc/hFIdFkLxgvfHVx2m+o+kxA+eJgGp+EEw3SHBe4vKyq9InlzjfZs3kIcrqHrUnHFGF5Ofe1HHvL5C6DSTMrjtXsDQuI+q+cP3apE0LGU94dB7ryDNAQqvS6blTtGcAac/HG/JdroV2uTUC2ynFBN+ago92euHyW+gOyPCxtvuysbGWV71Fh1bXbiDfaWD3vsnJw+VyeTcFzsrAtyDsG21Y4xeBw4TJBa2ubcitjO5yXQqlbbrkFP/MzP4Nf+qVfApAQzdGjR/Hud78bL33pS88xdE+i4BC0JxnYx5TZYCU+CmqkYMYz0tTEXKceTNqe5SePVni4OIVZbDNWHglx/lszsq1QfycCOGaityVwau2cAfPJ2b9VgQDzKBGF3Ia1zW1YFQ5vzqNCMkC0qgRIhxfI5U1OeRU2Gh76HgZh7IpbKdT9qMeHq7yNA9wdChQyGah+XyDMQE2U2CFMITEvcPPs++gFaLouRWDDNrbOuXk9po3+MGDmPKlcgiP77cpwWt4iTo6gJ4MhUH5Ry/qnBdUHlo4bM1SzR4ncFHfCqjwq5Qp148gj8VYYy9sstyxvsQaE+eOqnHu90fohJqeUN3uuVwSmzT2kg2ptRCcDO4n+a1Uox3bse6uOZnB7np0pcWm+6Qmu3O4wXmoYFWunTvefwU0Q2ZdztjqlEKosWPjvacbJ/c3pBDgc5oAjnyfjYTWTUN9Jhs+IMjOgjE7I/qNAgDkoNyZM4FHGmJDXqznxD4BqtXSUtajEFI0J8lfikwAGpzU9nSDGPglSJ8kMNU66lL9PZnSKu3hNXvNjBtYmoBPyWmgIoPVZ+hsZNBNtmXlMwoi1iZiqAVibIs5nwLRL7c3niNumSVuLI+KOKWLsE+rbMQFvzIGOUtsbPXgtJLPC9R68Y5KEJPOIuHOazNrA4B1T4IkZMAmIax3CExuI2yYAA2E2R9wxBa3HJEjaMQUdT49M8HSCcGwmGlkB4dgGsDZF2IgIs5jM+U7M0zqaThCObySzwJBMCjENQM/JJHCtA2YRIXIaw/VkIsnTDtiYgdeSA3remMsYc9Ic2z4Fzfq0G7ZNk3bXJCRTw/U5eE2ETLOUNz2ykfpM6/M0v2uTVG4agNAhrKf2EKXc2gSY9wk27ZObR+6SMIlEIy0J4jj5NJynl1xpMkntdSGZNG/Mgckk4UJ5SdfmfzJJGnQs63s2h7LpNEuv09I8Jm1hoqQVFikJtDD//7P33nF2VeX+/2etfcqUzEwS0kNCQpEWioJEiqIQEuCKxktAvCrlIgoXUG5UroUvCHhBRdSf0iwXBRVFvYjlRREhoJQL0kRQIIZAaOmZmUw7Za/n98cqe+1yzpyZTDIpz/v1SmadvVffa6/y7Gc9ywj3zHunhDce2zHHH5u8sdfrmnR4/xRkE8C+V07YEs0L7BgsvP4qqy/1px1ZVg8IZpthwn+mRbXEeBGfP9oMJPu7hB/3N3EPqNk/2niEN29yPaHXJcbtwHlzKPcIon7KCbiyxj0/nIB+3slpXUxIJLwU/edkf3uFrCV4yhBExU72Tcxv3fwoOX4n5+1+GFMH8ZEvsikXQ9RwZ1HL77DCCVjbpYjlNHovvKmII5ozZo/wLobsgTw+IXEfmdNjaUYkGWVqxO9g4eowYmkMw+9geUtOUQbzv6nhtghbMkMi6kNFA2lGk/PGU6BaR0GMIq+99hoWLFgAIsLSpUtx8MEHY+nSpZgwYQL+9Kc/YdKkSaOdxU2mu7sbHR0deDfej5zIb/b0nAYBbFuyk3NvmBfetQwhRKbdKCHSjbPGQEYCxmZVMm8ZP1w7NloD1u0JHbQhbxvOH7gpHqlICCvqLnS9CYH00qgVztm/SoQjRIIUX5BmBqaUNk2szF4adjGbWLzHBU9RQJLCfRWPDaQ2xVjek7NAU37A+XWnmfnSRT+cHRyFiE2kUsci2+p1EzBP9dvPauyZe8/RChHIC+d94Y0P4MkBzBM6ZU2UYjn08pNoY7GvtDadxOS0dpngNRDr1j/09kRTf/ZdobiAONJcMQsLittCcto4RJGNHBvOVYPxazRMKAz1NhNTDhfO5idhb8nlzWo6mefj8iZsGvE86zwYvyZc1KZqTFqtEMuVA/G8Ebn6irW15MLK1uFoTSSS6YrMFoJNy5y37dX1M160MbdXx5l+s+pNZIdLJmJXRq58iLvJK3NKoGnHJv+aERz5X9t9rSnhjVm2TQvvHUrEFztww2bb2OJxJz9KARUE2m8gtF9pNF2CnO4+Ai2EIiG0XSdj2ynMG80eAGFBAEa+TXkRPYdAGG0Wo10QGjcEUNVaRSBot0w+D0RbBEF6e54wGlmBTkNJnQYBUIF5P6S+LoSuH3vAGgmK7DbJ6NEoz+2uE0D+7h1f+chvClLnHfasgwpAeX1TVgmUB0QIAArIAUEJUDntX/YazTEByH6AmqBPbQ0BKgCiHJVPDgCqoMsmBwDVZHr3CnQadq0cCIgyQDmdf1nScZHQ4ahJl0dWdTh9SqxOQ5RMma1fM02TJQA5QISkyyKF1hIz7ViUlDtxUJZJPxsQRMXEG3p+q9EHL1Ex4ezzF9Bto2LGlZB0mgStoRUazbNqCGnaEaqhFmYpBVHWQikope0yKqWFd2GoNeHC0H3ksfMS/XwTRpTdu+lpI0rvHfKFUUmhA7xx041p8d4vPlVJ388c25PzJGEu+v2Vd9+NFSp6Nk7zODU/M+Gytv1bv1njH6w72urvH/qS1po1efPGzShv5J2i7JXDpAGVEc6WU8bLDDvXsn19rI9FbZLzZlv/qXkTXPlcnInbkT/7x59X+c/fu0/xMLH0axFrWFljVg2/8cxlN86MeZw7BMeVKStv6fY/aCKUyhwzEqSqPWMeU3f+k7gPEW/vmzLHwmDhGkljU+d/SbfxkxKEZmkL1kKHqaoK7sft6OrqQnt7e03fW6Wm1M4774y//vWv+PnPf45nnnkGPT09OPPMM/HhD38Yzc3No529bRK/P9b9nf2yY65525fiO5lMh2sbNLz3WkRzgVgiyRfYC0VJ/+RrsyAR3nTkZgGu3foehSqyRZAxmYoLr1Q0sDrjnuSEAbHB3pZRCL0lybiplt+EcWQdztYpdD7dxMib2Ng0PCPnfhq+cMKuAuw2DtiJj6s3PUgSkZ6kJiYT1m8sDZDerpXyawUGMhp7pTCzfHPfD2cXiP7Ex69vd3RI3HZEpl/nlSDMQpvMdgWXtn3Wsa2c2c8/GlBsHQNExhZH4jlmPn9SnjtjYu23RxV/HjYfyk5T7OTTb/8Gvfki+tppo7EFjF6XSCtECBm77hbqLpTJt4hvoY3ZzvHuk8mjft4yHq9XLgBuwi0ArTHi0tMrVSHt1gbAbkex25l8t2tzLrw3X5C66cSFalGd+Vu9vMvergvb9oyPSBo6elDKoRFJjw1G59piNEHQdakr0k2SY27h+U1+mafa9RavfC/j/iwmA/+4dp+MBYKv7xVt5RExs4Fup4r3nvrbY32tK1s2Nz6Y90cIo2EJq4XhaVIpc9iH1Jo7WigjtdxPmqUUuYqGfWmVdYu4YIjykVvZ6hcCCGzVCohAd6+2nL6SJFGGUV2TWUGIPlra7k5FfqTJM5TuY6wwyuXfCr28l89vmTG33dEbFVn3p6ZMzkwiAVQQENI8zRzpndhEqBbtNzDSAiICqkUCcjqvYRN0vYAQNgs4A/PmXVfNur+RCqg2AxQAIjRxGCGYImGEOaYPAUEV4eo4LJDWTlJacKhNMRGqtj/ROyy1JlTelCkUCHOm3AoIc6T77FA/A0HQgkkydR5IY9cJUIHW9CAlgIB0lQdG04kAe8CLfn52a50rOkAC0uzUE0ZL247x9l2N2oferiiIou350HMQ/du4iaJDIMibYyHSVI99DHe/Xe/itQ7beURjopsfJoRJvsDKGzVi1y1Z12I5sG0Rtt7s/NKby9h8iGhg0Vvv4+nqcUymwxkNSgEz5tk6p6hNRvXkj1Nef5wcf43b9Tf+OJbZxcYvul8yI5zwtIqE8IJmjZQenuDL/whLKozNaeycj8IwflgRhJnHmnZAGfHa+Z/03HZuSuZdT7UPG4f9RfH6SBfEu1/LXcOvS85OQuNe/TYdzeMo5kG4d8SLwyXhr7cSZfLGrOHOBZhh4F7TxDym7vzHaoxat98f2Z4ottnTm4foK8k5lh+f9bhp87ja4WrlLTuNqKrIJbkJDdSv5jpslUIpAMjlcvjIRz4y2tnYfkh2eAQjiLKdpXCeoq8YIprtNhJtUgprcQtbG8K7nnGCVlzAE3prOW/ZYk9ncwIFqbdP2OTMZNaF875yUeLEO2t41Aki3DYkgn8EubMLYvPmG1ONGXSkyG6T71d46cWMP0bbnsh+5bIToNAb7JNlEt5bLiK7PbDl9+xWOTfB1EXcxo/y3PqUKW1jhAKzOAOcbSB3WpJLz/SGdmJn3K49+M/ZE274wrxY+UNlnqN5/m6ioKKdQLbuiRDZO9J5s2V2bS5mU0t5z0Ak3Em/FM9vssz2NCyvHcZwz8fmKXJGEx9KTVz11UhY5LJj68QMSk6IEEvSeydMnHHbG1HehPccYka+s95jJxwV0XtE8eK4PgMUu+4WBHbQE/7Q6E+ZvWt2kRwTAibmkS6grSnS21ZsuOSo6gKOFsm0bd3GJwCNEj3X9DV/+YiEO/KbdIt0vdXNWJ1ZtJt8x1IcJC7Exw0zvyepICAjtz2BVEL3D0aIFM2ZKN7HuP7I9B6BjktLL7RR8EigbcY7axTJHsIXCJBQWuCg7OJF+ychgEBABQAFAOUklARUDq4/VjkARsBEkiBCUxcFQJZ1NkQgQKF+qURFuK3BvmDK/94DmLmt/777HzADRO0+pz9YKFtkIZzgRAuryLVDp5Vr3lVIK1AmZ1PLlpuEFkKrADq/OS2gEwSogpnekkLYDK3lAyBsAYIyAQGgmgjBAEBFAgQhKANhKyAGCEEIVFsB2adLV23S2lQIBFQOCPoJYVEAodZICpsFxAAZAZeAHNDlUE3arzIaa7JEUE1C28aqAmGz8QtAFYCgX49DFBh3TteTLAMqD8iyhKxqd67fDDEBEAzATby1Bpguc1ARJpzQsiFJkBXT2gQQlE3VK6G1ySRAVa1RJQICKgIiBERBQpbN2EhwH79g2oCw74sivb3SCp6UirSi7HXzm2z7IbuYNm+1W1ebcYaEG4u04MqOT5Qec9z7m3j/vQ+CUSIJ/PEmQwDhRGIxYU6Uck0tyWQawpsPJu77Y7E7rdP2Zyb/ruyUCJcoR6ampj8vihUu1SHXrIcRCUdRPq3mtR3XbRz2Y3R8Pgon3HRpWNuYNu0sjTAAZnBOyHzIdEzkzSOSGc1y+9dsKH+SlRUu22+mqZBaqGR8WVmj2tfqui3DmBAwQyP2lbjWnCdr3lSrj7F9kO8XkV/jK9MecCLg8Odx9cPVzlutNIT3v0+duV8mjc+7t0qh1M0331z3/qmnnrqFcrKNk1rF+YjYpWhgJzcvtxNVITwtF8QHbftlKR519OKRiOYe5IdDjUGgWs0uB7kcxfr7aH5uBkt/pex/ZQlVlLQxou+0A9wP6/YEZb479Py6/CsgtAObil5Tq2VV66tPZhrk4rIDdFR+60zGZ+d3tvzmyxMQ397ojnanqByIVMCFV8dQYZRPs71AAE6wJID46YYCiIQ0Jm1T337HHevGMiYBBOjtEElBCJmJS6oudH0L75kL8vIQe6TKTaidbaikO766j9JLbsFM+kkK2pIL64y+O4pKRH78L8XmWmx4cHHrm2TLnsSbsEfCy0Sek/nJissri2t33rOJ/Ua83L56fqyDcHnzwtVxuzmDLzSIipYojulsSNeV/0zt4im1NcUvf63nKJJli/zWcvtZyvrhT1LS15Juvxw1pgK2XjPaje+n3oTbxU0Jv8L2lcn8iJp5tumltunWqld7cIHVwiN4W+uEJ+SW2uaOtbvnTtoLdD4VudPXCDDCc/NsAm33CUEQfUiwJ+0JAbKnpAVS2/JRCqoQ2ZyiotQ2ioSAaglAAgjzElTUWovVJglV0MKeSovRTFJA2AxXV1QkiBB6sScj4QUkEPQRKK/Dy36A8oCsaoEE5cwWMgCQAsEAGe0CQJSEEUBBC2gCna59HoIAmGFVCuMmAklyD5ak1g5SgX5HpALCIvTWMQKqBSAwW9SqBSBfAcIAIEEIqkC1CRBVggwJ5VaBXEn3U+U2INdLoBwhLAL5foVqixZUBRWFckeAoLcKqQiVsRL57hAiAKotAvmNBFUAlBQI+gnVlgAYIOQqhPLYHIKuEJKAUnuAfKcCAoGwKJDvJYRN+rkHZUJlTICgT9uBKrdL5DfqvFVaJfIbFSint2Hm+hSqzRKiHCJXJlTa8zoNRSiPySHfVYUQQLUQoNBT1cbkFSEYUAhb8pB9VQQVhXBMDkF3VQ+1zTnkNlaMIE0i11cFFbXNqKCsELYUIfrKkKGCailC9pT0vCmfQ2DtbikBUQ716Y8DVb39r5AH+srmnQmAsrEJpgjSaEUJK2wS0O9MkNenCOb0tliqVEDFvH4/yNgTK1W04fdCANFfAjUX9PvQWwZa9WnYohRq4/IV05ALAYSx34UggOgra9tcAER/RedbEVAJ9amMFV03QkqgXDGHDQhQuaLfUYI5tdC85/ZkSHu6rJQQKjRdiIhrYxqj824+kxzv/A8rQNzOU8YHGF8bOpqPkDcnivrI5BiR7BPJz08yXttpZ3XP5KeB+m4/9ay+PtFJR15EVBZP4G6jEkTuxGM3Pli/wiu/L6RKJU2xtUDsydh4yKuH7KlKHBsmdmGwAGm3M2KfJVytFUWtobTmQO4//0ESqeXXuoedRqMVu41Sd0KS5VkO5ikdylSxnSulp9TpTGT/yg4m6vikjPcn6/GnwsHXJ42Hq9sMzfwtvvXUzzAGicHeHywlz/fWaFNq3Lhxsd+VSgV9fX0oFApoaWnB+vXrRylnI8eWtimlEd4fqzZol0bCe7u8N00Iz6+xP+GH87/4JAbd6JNu4jVIXnIDUtYg6n1VsQIJG68b1IHUIJlRdt+Ll0BUpgZfmrRff3AbJOSgGhvpCDJlITU73Ow6rplaQ0UWsT/xDPk9YKIN2dEzmfmk0Cbj+Ss7aUsKr9y8yZsAEmWOw+lJT3KCCq+dJ/zZfNZr28m81apM8v1kNPNY3s2QRMp7x5KeEu9prXy6+CM/OrhNw9NCsimYhUzyq26mMIf82o7Kl6ojkci7L5SI+fWiizKEaBbm58dP1u+PKDFJTeY5nuV4Ghi8LlPlR9ovxURyGV7MkxYYPI14RiOnmw+I2N9kGqnFQipT+j8iu13Oi7tmX1qjH495yQhrhUpI1JWItPlE4kQ9ArQxbKENjIsgiNqQ3VIDimxKEUEmtTSTbpuGgHFbbSczQc3pNEgIbVw70JpPVMgDElB5ASoEUFKg2iS1dpDUghQK9IeYsEXXfRjA2SIKc4DQpzlobSm7EDRby1DV7VgogIwtXVk1+VTQNomg74uKvi4VtBYNGT8UuWEfAcXd7pEpMq8dueukj4IDhIAShCDUWrbR9hv/PvR2MQEoSe6kTCUIAUHbsoKCJEIYUOQ3IG0PKRBQAUGWtWCIpEJQhbb/RARJul6FqQOVExAlrZkV5gSCkgIFEgoEGQqjZavrUAUCsqKMBptAUFagwJZJCwyJFKQSCAMBWdWLaCUFZFnbHQoDIOjXaRAIskJaqlfRpgNIamGREEKHK4WmzZJOT+ptgtLUoaiabfQ2nDnt0bmJdD6k1piTpN8BUY62VIlK6OZqohLqORkprdgHwNknAyKhBxBpUBNAeWOsXwCU0+lS3pwsSUqfqiigjfU35fUJhqS0QMmecGo0mp0QKQxBgdT5qCoIGejthlUzjlW1AEtCxyvIaOpVq05wDNM+rFuXxxZMRFvEbF/iChT1W6mPJ37fY/9agZS/wkPifr2x3kWZkcZQ5g3JMdabVzp3su/OiC/zo0UqDX2DlL+49OswWY6M9LxyR3lLRFULAjz1u9rhYmkJpD0jXcexZMh8lK2XSLJoyXqgesGMP+0/agLp9rF1kRjbt1f8Z+bPm2vSyNwrkYTf9DKCD9ryajwDQup1TSeclUrN/iYjkkb8ZoVLnuA+pDrWVKmC++nX26ZNqQ0bNqSuLV26FOeccw4++9nPjkKOthdqjxzZyygkOumEdgz0JFb4g4Q/qJsvWGQnDvatS70YMJNoT70bQGoyYCciZGfZInHNz7M3sDfwzqQmAwn34H6RIUl2d6JKE5QYy5NpxJ+Rrip9LZZG3TLZMlPCHf0ZGhlhXX0n2lSq40Ss+LHJoR8nASAVJeEEUBSL0zXH1ITQC2cWqtFXUK+9ec9If5RL1KcRwkLE/Wa6rSAFQOZWBJsvZ/BFTyCRFJxQIoBt33bynCWEtenHtkTUmLQlJnCpU/SytjJmhbPX/DSyyuve/0Te/Lwny011rrnflEg3+d5E3UnNyW5yzpu8WOuZZ+JNzGsNzl4+rJfYGz9oGomCZJZD1E3DF/pE0ZKL2n1DEyKRmgCSgqrYPS9/yT5GJP2ZfNjK8t43+7FDWM0n7/0Sdluef+KeLbP0fgPazopNO/YcvTA2ban/kpDa+DiZbd05abSutDADQaAFJoGEyklQXuptenmJsCi0gCoQqDQZdw4I8wByentXGABCai0h2xeoIiCqul9XOYKswNl7khXS274qWktKFfW2MBHCaPPod4igtawg9NY1GQrjhhZwBaQFWoCxM6TTF6Gp+tBo1AgYoY9xl0kbSAdp7Zyc3kYGIlBOQJaU3qIYCAR9oTboLoCgP0TYZPxWCVQUkAMKSipQQSDXXUG1SddPvquCaqvU2mE9IcIxUp/QFwLUKhB0hVAtAlSQyK0LUW2TQCCR6wxRbdfCDtGvoMYEkP1KCwybAuS6QoQtAioXoNBZQbVNG6YPNoYI2wJ9smFIoJZAp1sQoLxAvrOKsFWCpESus4LqGG0TSvaFCFsCXQ6QLkdXVW8ZzEnkNpRQbbFplKFa8rr85SqoKQfZV9FCynyAoLuEsDkHIQVkVwmqpQBAQPSXgeaCPkmPSJ/o11cC5XMQQQDRUwKKBf0u9JeAQt5s3SMIe0qjgG6z1dBoQZmtrrlAP+tcEBnyzwUg6HRI6mGIWgtQSunrLQVQWAVJgbAYmBMH9WEY+qTGAkSpogVVzQXIftPIijmIgQqUMDayBrSmk6iEEGUFUchDDlRAKtQaW/1l0yCLQMVoZiulNbOlMEIs099XjYZULnBa7n7/5Yy1C7gPWbEuKDFOuXEsJqhKXrf/BJyRNz+u1NwU0fwmKZxKXqvlthG5zFs3ZaRhy04Jv14+k2OlP0eK10a6HPZHxrxJuP+98cH3G69oxPr75Hy85pAporEpNk4Z/H7fBaRo278//mXO4jPGSooL+OKB/Iox5fYuuXxGBd+62AqztHlIPKctkdwWiY+Q7MdinlPr5DrxNeI3Mx/+JN1N6ka8mrdKoVQWe+yxB77yla/gIx/5CJ5//vnRzs42DMHtqYs18vhWC/gdbFa7c2Ndxva9OklnLmQ9D1m3RWpwsE43SscWObEMOZtYvpZSdhp6fekPvtn+fb/2S7M/L8gqlyuHv2j206hRRu8DpwkXlbVWXfknlsUWiom4dRzC8zsMaknvY8/Jy1xGuNjXpsyJU6306iG8HHkTmGQWfaOGmZ4aSiYKliKjUdTV5MmIJEsw6w9S9b4KJ66liu9up7eF1g032HOokwdHYmJfK2+peAWiPsxNKG2ciIwyuki8mGp8Za0lY8vCl4VHL6fd4olorl5j8h3P26Cppd2uTJT4q2sj6o9E1HdTFEyXM1pQ6GKYgxT8r+gxgWRish6rq6w+RqRu67AZ75v74g9Pu8NL23WcxpC+FUgBkX0++/DsqVh+HoWA+6AibSXYcmijSmQ/oiiAVFXfk3lQpQxSElTMAeUKQIHWklIVQAQgY6dJyACoEGQAqNYAKCnIvIBqAUQVCEKBMK+1Zuz6W5JwRsCFEUCpqs6bysPYfBSoFmAEV8ZtNG9AxkB4AaAqtIaVSUOQMNqmplWQ1kLRWlTmZD9jG0tKQFS1Zo+QZAy8615ThdruiqwCJJTe5lcBQjL+K0rbXCJAlLW2TFA2giKpNY1CpfMe9FWhivoFlX1KC67KBNUX6vs9SptJEgK5LoWwWX9YCHpDqCZtJynoVaCiRK6kUM1pralcr4KSBJEDcv0K1EQQEggGqkCzgCQFlEmf2teroAIF5ARyvSHCZqmNrvdWoZokBBREnwKKxn6TVCAhEfRUoZT2m+urolrU2layrwIq6mchBiqgnEQwECIU2jaU6K0ATVqoEfSWofLGeHZfWW97q4QglLXAtlRxthJlX1lvexMASmUtTCICKhWt3Vc16nFSgiohZEELVIURHur3W+htdEJGW1JzgTb2nc+BcmY7ak7qMEbYqlDQAuKChApDvb1OmsNlAglqKmjhUSAQBjndpvNa60tWoeNFaDS9Alg1LirkgIrUB2EUcvqkQBmAqspt3SWht+sJKZ0pB23r0dj/sQbc7XY++5I70wLCbTMjfwvZIGOls6PmC4psHxRENkh9m6cu3SBA9KHUamkCEEaIJoXueMLQaWbabYa+kEvYeAMJEYZG8EKmswiivLlwpLdLujSEdgdJv7qEetuj168b4/buA5I9+ZHg+bFxmPr1x03/FOZEWWwfHE1Xk+MYZbjteC7S7thwJOK/3RRLuPlv5jDmz3VTUwJdcP/E4+TYGrtmJhnCy5v9+B4XiDU8k2xs/rNJ0OaKOJVM4wUZZoYGTcOO8fEbw63jmN8hZXcEKrzhNU8jcWEEG9nmaUjbjFAK0MbP33jjjdHOxnaA7lR95Q5/K7fzA8C+3EnFi2h9UqNlxxZ+Oi5Fye46GSZppFBE6VlS0hOreWSHPn+BFi9GOk0/jcHe0Gy/Cbme553SHWLWQi4VMDtlvyDpPsp7arG8DdZp+OFEumobYZBA/vytpp2hzGgTk4NovpP260UoRHQlSsovZ9RW/HpMiVbJdwjU7MxFVhiXUMzcRXSyYfYTF14BfRtu8a+eZhLpV0jy5cwMp/36wiR/e4fI8JsKF/NrBX31w2XnzU6OROwhDD0NEbllRo1mTVS8Ok4bOm30/ff8+V+KhO9Ol98/+TJV/rrP0cSX6lPSjdA/RTWuvWe132qULlOK5j0bJMqcDJ/qWsl7bWz5o/rOmipSiNhhAtpejNmiJAQAvaeNjFAqel9EVC+23uH/DeP3Mvy6xZYVWgkBlMq6FqQE9etrJAVEXqevAoFcXujFeZfWuKKc1qDSW7OAalFASp1nVUBkFFwIvRUwB7MVDHqrmqkRJaGN9pv6099WtPBKmDHAbtsjEgjM+lyf4mfLEpWJzAmAUPrkuBDQtgWlMTFIMjryzQSrVCUoMG22ooCCuRESyBo2t3VW1XajIABUAuOXQGUFFEx7UAVt+yokvQ1QAqKsoPJm7CkpoGieR0UBBRmlEZhref0cxICCatJtRJRCoEkvxCkkiJx0ZYMUECWtrQUIYEALtUDQecubNELSba9ijDvbNHJmYdwfar9k8mG2CtqTVUQ5dAIAMVDVds0IQKlqbJmR21qIqrH7KITWErIn8JWr0fbVSujCudP2quZdgHaTMNqD1dDZQyMiLSC1f227DgIj9AEQ5HR6ZLZU2vyEAtIeHCAAKodGE14bV9e9sT54RFg7baHekqgAyKrZ1kiEoKK1l0iZLYlE2rC8Ma4uKqGzeSWq2saUFgrrcEqpaKzy7VcaW1KowG0/9Tu2+Pynhva/j6lv1/35mph2XHFCm2iLsJCJMchOdJxfE49zk5HvCJdHIYwATURue7Ktdus0zMwmPlZkpkfeEFsnjYzxyPXfvlDOHLSg3VG/GdlqtOMYvLFJX3fbsf1xNfaxQCCKImM88Uec1G37rLPGIYr7j7kTk0hZV1v+AAEAAElEQVTvnjvZOEXGGAskym/HEP1f2vg9xULWIp7t+n6HLKcQ5r9UlPaCe5De9aQ72W6ywqF2/ccw/gddozRA1pif9JJ+5IPWcTKJRsPF/Yr4lTpV7E/B/LmwqyP3/gNW+GluIP1sshJJZa5xYuFG4JnVYasUSv32t7+N/SYivPnmm7jmmmtw+OGHj1Kutgf8l6nW6sT8df1QfGGT9GBtkWR2kt7XB3vUsA6mMuIbLA8ifq9m5pPls4NHYx1DrXe55n3//cz6CucGraTbdDqNjAWx9Lw0/IlELA1zU3gBMx6jXfdnyM82AX9ymEwQ0WQveX1Y6SQmOy7OzCzVuCigT99C1E6TdUl2WmgnlAQBbZdDHwQgEuVFFD5WZhNhrN0k22zG4OqEMyJ+NGvWQJzlTgmp6vlF4lrGpEx4AszY1qg68cbcicmRq7rhpoGhExvgkXZnkfHOZ23x1e+VmSQI4e6LjPITPFt3sYl4unzxluJtHbYTkUb7jdgCp0b5o1VKRgUk3cZfxisQeVXefWu3zCTjC+SUPdVJmi/x2iC3M1JvDJpDwWhQmbqV2ug0pK57sgaPIUAIzfMwtWe//AthhGDGgJOxz+O2EJLWghCAzktO3w+CAJSXkEpBFXOgvBYKqaYcKBDICQlqDkAE5PICVAwgK6S1cnICoioQFgHK6W13qqinuUoCIgeIqt72pwUxWmtKQF8nq/lLgBTCaDsZgYFvW5iiVmL7DAK0HSciKAG9HQ/Q2/VMWJUTWpuC9HVJ9rQ9XZeh8StAqBaE0coiLXyraps/FEhIMmVQSruLgKwSoAjVFoFcJQQUISzmEFTNmCEIMgTCgnACjrBZIChrIUjYlENQhTbMnQ+0rDEAEAb6IMYmvb1QKEC1CsiSFuiERak1zQBABLp+cwJUJkhlTvUrEURFIGyWkCUFhEAYCHcyHqp5iFBv0QxKob5fDJDrDyFCQphvRmDSBvSWSmsvShKg8gFkKTRG641bQWs3lbQmlVQKQhnbWFWlNeLyOROO9Pa1qtK2w2DqQUBrq0FoDZuK365tvZq2LRDrV4Qy71ZVCyqJhDaCH0hAGJuOZmur1A1Op2/7nkpoJVUIyvodEkRagAloIZpSkBDaELsyB8FUQtdf2G2LWmiphdZUNUbEhACqVdOHEqgaRvl328zN2CykPmFQGLfRoEwNdUaQkzLc6/pr20+LWH2RFBDQ/YKbVnlzGcrlokNTbJ/hz3Vs3dj47WUrvAQigaT1C9snRs8xlQYAslubhXAH3vhpC2srD0YDzYpVEnkjIt1j2OsyStvfLufynxxX/DHIv5Zy+2EIdm4esw3pPPjzsGTc/n2vrv0kvHDWWz3i34KyTXnEx/uMwTm1MEj4jafoXffdtf1S3TQGw8SRmvPbZ+DNR2q446YA/HDR3D/blElGVoZdDj+S7PAxOWmm/6E8j+GGy7gvGnHXqBMncPLekMxnk7w/xGczimyVQqmFCxfGfgshMHHiRBx11FG4+uqrRydT2wVZL4q5Q2ZwSI4bdtyi6Ifv1guM+qm67WQERIvzePrp35Tw5v8QsaL4+aHUAiwjLX895gQOkTsra7X8CkqXIh0u2+2+tCUFLP5AV6cY0WhLiXht4qkeOZ2GO6GvhlWxWtobg5F65m74Sud/SJj6smXzhUj+ffhVFpUsqvd43mAWyn7ek1n0vyb6GimUFLIkchsrv51UunfNWyS4CUciOuvPT8afZNt4G50IpLRi/Jvwyixiabt2Wm/i6aJqID+xZ7cpaYj09Vg53I34X6La738yeT9eRGm6696zTB0TXKcehO0UrBCuVr0RxS47Q7NItmOg4X6jll//QlKAbJ2uv03UdaJpCcDbWkOxfMa+ztso7CIQpI+8N4Iqax+OjDFtGL9uuHKCS3inTXpaH8bWDbw0nCZETCPA1rNZqJn7AqRt9FTNiX05bduIClobRZJAWNT2foSQCFvzCCoCqiChigGCEKia0/ukEqg26y/zgiTCZujtezkJVdS2pKo5gHLRtj9AC4i0kXBjqDsQ2tZUoMstSQu2bBmV0PlGILS8SmjD4RACJPXWuBA6HaX01j2VF1oDKLDxE1Q+epYqL9yprqqoBQFCAqogISqh3naY10KlsGi2DYaEsEVq7R8BULM0NocAKgoEfUrbppKEoKSgWqTW3gkBatF+hTDuPr31DkXSWwCb9FcVWSaoVi3gEaTTwIDWLKImQPQpqLwEJEH0AapJQlX0VkTVLEF9WltINQWQPcYoeiAR9Cqogt6mmesjI7QiLRArBpC9Vd2EghyCnipkQQCktwaKJgGUgFxZa3KpPoU8KVAuB9kbIp8LUaE8gv4KikWgVMkhX64iKApUBwRyoT6tTvWFyEsFhTyov4JCUaFSyUGUKpAFIByQWmMpJxEOmLYqAtBAqI3sm12BlBPOQD5JQIQEgrFJVRV6G6PSRtZJwGhomRfT9j8hwX5UlFWCgq5vWVXmnVVRvFWl/ZKAqFbNdjqtmQVA/w6N7SjSYXXD0ie92XcP9j0MPYGLpx2k+xxjBN0I2rTGH3n9idG8tH2m98Em5vYOSSBPGzN+bLsZi6UVhAlIKUGh7qekLYPwRnR/25+wgnDpyuvGQULcLc22PghnXN5+sBFeGsKmYevQ1pEdV/25TWysMGmTFkbp7Y9hNEd0J3SKKGxqvuX1qSBEH4DTY1lcIzk+WETjn5c36y1raE6Ww7mR6bYjdkqbyiM9xsJUYTJAIkNu/E/MTVOesq5ZJOL1mpwNRkJYP1ztGk2nQ6Zcwo7hAnEhqb3uT63I+BG18yZgHrv9oDRYfih9t7FymPsiSjnyG9dh8p9ldL1WHcO7luUeSjiZfd+1kWQpBdIlTk6iEgWy73zdZwP3HK0dWeE9m62VrfL0vR2B0Tl9L0HsDQbqdwMjmSiiQW+oNJTPocc7VHnLcITNyXCNxzF4XflzjiwbkLWjtZOKRvNiGSxA5ixiOAk1mER6VRzr2WpORIbRHkfsvakfrnb7GO4zgzcZyLphIhysgfsTj5F4nFlD0Ca1zTrx1vDSyDud9WUx6cy+PiKVFPuT8cO7NtyGISKnu0zZ5ciYo/uvkH4t7IxWRh7s4sZ82Yf1J7XNFZHTdnT0NqwgmgYG0ixOjVaAMid/Sant6+RzUX6tTRWbhl3AChG361K1W65IX7d58xbHzpaMJ8B023cAxLT4pIyMtQdGoyuX0wtqAa1NIfViV9vd0X+tdoYqBG7xG+alUyIgYytISbsZQEDlzCQT+iQ6aSbkyrqF0bwSerug3Q6pciavwpwGKEw4I9giYTSnrADLVpuMiqpk5JfMfSVgNNpseO03DMhM0cnsENQCMdtGVEDmxEBzEp/T2DIn6gmCEGax7MIJqJxy4SinIJRJJfBO37J9szQfbUif8KcrBPrEQGU0XqW5L4ztyZhWh9EskNEHnCDQi/hAKOQCLXhrklUUAgUqAe3FEnIiBA0IdDQNICAFUVZoL5RAVYFmVNCcq6K/r4hx+QEUAkJXdzMmtFYQCIXuniaMba5AKaBckmgqVNHbHyAQFYicwoauImSxApJA54ZmiBagSgLd3S0IixLlcoC+ch5VGSDsFehDDkpKoFsgzGuNnKBXgfI5QBGCktACkIpudEIIiLIRhghhThnU74oomy1giiCq+jRAEapICFKpRgKgStW9Y1Q29qlCI6wS2i8ALRwuVbQ2GEhrVuVy2l9o3reqFTILoFLRWpMSQLmqTwYk807b7ZIQ7p0XMnLrbXhkbGTZvsK0FfvRVNhlrtfZDdKtxuX33iqfyK7z00NFbA2ZXlDG8IRqcbefuB/Oy5AvUHJuuLxB2N0MRovVxmu0Jl0BbLTO+HqNMbbG0ERZ4fz8ZqaBIQxpNTzHLou6XhtLYpC8DTI3bTAR73c8nLJCiYTPwVJIaXyJ2M2kY0Tzlh1V1J5jp0Fbd2Z7r+G3TnrZeRiBuVJD1Jk32ehSPzZP3kZT2rNNn77HjALO3EdsZI3c5N13C8YafuuGg+dvGGQOuIm8D5Y195dceCdjrxUOQ/DbSDiR6CCEJ+Un7+S4rIlHqrNWXn4SBt1rdeZEsfSsxD0ykh53u6+HRiChL2X79Q2tK3cEsWfvoEZl+fcjldQ6lWwnU4i+GrjtUH7d2okmReVwv4fZDKO4k47kxFLAy5z33gjE1OwSbSVxflD2JJQyng3qP0flP3+vjUVZy5g0JtsmTFsepN24YjWQt+w0MGgag5W/Xvsfyjsds1Xi15X+DOXi8t8LHa8ffvjl2DLvmHHbAnrP0X/HYurfTvijk4pNDW3hbT4EIiGQ8LQPrMDInhAGaAFI7OQ9E4s02gUUOHsw1l6Ow9OkMh5MeRAJtYhAeSPKsZoKRJEAy1+cJgRS2p99pgpCGMGSUqBAb5sS5v1yhpAFtBHinLbng6oRXFWq2vB0ICFDbTwaEAgqiMpkBFmCYIRaErJsNFekgKjouiMQRAUQgT5hTQTCbLkS2q6UNDanA4AEIVBaOwYAghBaO0gQJAlAGgGR1HUQSBGdECh0HNbUEYw5KhhhlbCG2AUQVO3WAdM+A0AoYeLV2l9WzqANY+v6lkZIopuSSYAoSq8so3ZX0dvNAKOZYu392PvKXBMw/bF076bbEiVgymfbsm1D5p+xgQUQhFQQASCgEAQhpADyhQoKQYiAFJqKZTTnQwQUoqWljCYZoiAqaEEJBRCKoowxsgyEAsX2EK1CgcIA09o3omDsUk3t2IhASLcdqxoKEFWhRBUDlQBjxhLKEKiEAQodZZSQR0lJVDsI5bAIpQKIqgTKApX2ANWKAFUFKs1CSxBDoFLMQSqpd6kWoYWARUCG+h9yEkJpbTwhA93+lH4uUkFvzZSBea90BWpD2kawrAgiMMJV0u+GIICsbS6ljHAW+hnkAjMOKCCfM/2c6WOIjOF3s700Z99pAoJcpImUywFucmWebWD7DPtOCfMcrfakedauuxPuXTdvvRaOmvmD7h7j44rb5iaEEWrbNqjjI69vcTaerH0pipqbHokGH/PiY6zwxhiz1Vl5fo0dLiGgNd08AZSOKzKnQe4kw+h6zGKETQMy6guTY6ytwax5LBAJ+mNjTDT2ZmovuzHW3XF//XGs7vgX245m02hsvI2Xv37e4uW3bhMqqxhe8a1ffx5LIK870g7pDnqJpRhzZxFr7xnYtrc58padIZHljNyZF2tezkzPyl3rlcOWs7FpfP1wsTRENG9y40/mOsYPlzEfrzmPHVretgW2SqHU4sWLG/b7jW98Y5PSuvLKK3Hbbbfh+eefR3NzMw477DB89atfxZ577lkzzI9+9COcccYZsWvFYhEDAwOblJfRhRI/fQvVvg2oDL+xt7deuIxgw3lR3GBfIw1/APSzSll/YyNu/XBD8jtIuGR1J0XYdX77Bjwjd3beMv1S2i8lrisvnHITJ+PXPWP9AP1JjSLlBidlF/IxAUDkJkR+CXHBmpcpRD1rRjizPSD6ciVi4W0I/ds3upKos03psZPtMZr5ePlPpkepnyk/Gc9JOxPPBohsTST8pp6jf79eG/NznfQ3SBp+aanBvA2WBg1SplppJNt/LF6duVRaUUR+QRLPIpo1ITq1joZd/vQ75uWtbvmz8u4/Rz8/yb4n0QZRo97cgsuLh8xk3Z8ounfZLLhi1wBhtqvoLS4iJoSCFRYBehEJwAmqzH0nbLDhFMVtqwQyqmtpdYdEdFKXNaBntwMqrd1BAZymh15EmSPoKVq8uWcQKr21yAqcQE41HkEAqpjeKp+HIOMvl9d+8wFEEOotTgW9kBah0if72fos5szJZoG2m1RR+m8gtDHxgl5UC0VQRam3uAkBKgRaGJSXUAFpoVlB13dAehshYDSamnTdqUCC8tBx5QEKBQKlT/NzbS1vnrjQp7oJBW2UPQACBX3ynoC24+TNJlUObnsRAqFtFRnBlqjqcALGXQDMsXvGRpSZZecAVITegiYAURVAwbRZJYECgapCN5EcgSoCyJEWulUAp4AeCiBPgDJbQHMECoXWAgugt67lSQtClfELrTWFHPR7KKAFU7kQQiogAIJcFVIo5PMhmosVFFQVLYUKWnJlFMMQY1t7UaQKmkKFCW2dkCWgGRVMbu9E2JvDmKCK8S19KG9swdjmCgpCoK+vFZPb+9A7UES1UsDkcRuxurMJIRE6OnrwxvpmUK4CFCt4bX075JgqusrNWNvTDtUByA3t6BpoBY0J0LNGIlRApQCUV+dQCYAwlECn1PbA+gSCfgFVEMhvFNruVgDke8gYttZbFklq22GyrPs9WdEG5QEBqui2ZrWprJBPVgkU6HdEhgqUC4CKglKkNf8qVSghtKZSuQLytRdzOX3yXkhaEFWq6jc5Z/yafkEMVLQdLbsNMJfTpxMqGPtaxih6EOjrQKT9aDQzXT+nVLRGtKtYsygkI4SGoLjwyevX7cl5RBQ7NISsX6VA3nVIAVU1Y4MUUOaAASGEPkhA6PcF9rROGIGrEFH/L4Tri6z2qNMkM/lRpO2xuTS8/Ljplmc0nUI9lvlpKLv92juEQr/wyuXBaapkCZxquWPjoopPo9x/9nd8HIvPeZNzqdrjn06j9lzBkj02N5Y3/45+j+w1EU/PvDcAmalp9jxWAMaov3CaZm6s9OcitdwxbCNHqg27YCY/6bwZn4PlzatPq4mLDHfkOZpLxfNpc1arHFF+stJIlp+c9mS6jvX9+NLV18SKS36ywtWoK9tvxNIzfae/jlGE1NohIQyNz2NF5McplMSylVkmoIEmkkFDTWuE2CqFUk899RSeeuopVCoVJxx68cUXEQQB3va2tzl/I2Gw64EHHsC5556Lt7/97ahWq/jCF76A+fPn4+9//ztaW1trhmtvb8cLL7wwonnZ4sT6AO8Heb8J0WTeCQfqlLWWCDuZXtbvRqmV722YoVRNVtfdyO+Ru5cYeD13NFmwasJUM9xQ/NYN5y3ehf9ZT0QdeWZPOhLtL/m7bvtvPMGt+/k35nek8pZkpNLIjtmbsHlu4d23m6jMCibW9w8nb26tIpCOIDs77pUwH8uirhmRB91Tx92UObswBm7dRisvHEHbTqFo0QZCtH0tNh54k1JPe8td8+rSaah4AiJnC6qKSAvKCb7IaTkIAMgFxrZR2W3XEQJOy0lPkk0Zra0VIiCQIGuQWwpn04bIuAW0nRgz3pE5XSyKXxjhmtRaUYDWTDJG0WUup+0sNRV0WasK1FqEXbqopoIuc04ChQAoh1DNOW10fCBE2FbUGk3lEGFr3tn8C5sDfVJdQYDyErn+EJW2QCuM9RPC9pxOoQqoMdIIBQBqEggGANUSAnlA9gpgrDFQPQCgzSxAQgHRTEBZIMgTRAGgXgnZorWCVJ8EWrVfKkvIJi3YUSSAPEBlAQR68UslART1XBllaKESAagAKAhQ1fTiEhBGEAIhgDIA67dq3AUYIYPQwiZpwoUmjpzQk22Cvm+NgAuAqnCGuKkSNSNh/YQ6TwRom0y2zZR0G1M57UdAQhUVglBAQEAUFXJVgsgJ5IIqZJjTdqkoh5IqImgfAJUIa9CMse096O0PsDFoQ3tTD1Qpj3XN41CkClQ1j0nt3Sj3NyFUOUzr2Iiung6I14FxrQPo7B2D4psV5IIqugeKaGvpRfeARF85j/b2bryxoR3lMEC+rYK1G8ah8qpEfy5AT9cYVAJADRQh+/LINwkUNggUS4SBFgW5VtvEquQFCl26D4MSyPWFUDmBoF8hKBPCQqDtZCmljbr36lPySEoEA9oAuQwBWQ2hcgFEuQqpCFTMQZSqWisqZ7QBocOhGmrhklLGb16fXEgEFHIQ1VC/izltVwyirN8x8+4iVC5eEYbav9TCUpQio+hWYKLfXau5ZDoiT1szEhLZOS7gKfbpd8puPzbtKrMfN/HE1gG2j8v64KK8uYl1E5zQS5vIsotZbz5EfjhjD8w74tj2qe6+9RtGbrs4JZWYH8Hr65JpEGBPPhT2Q6Cfn4TgxtWl544W9HGi+nMBYgOdPx4B+oNGzGAzkal+U9ciYxxDcvyjKHXyNVMGH2Mbm2OY8ovaEgPhHnp8rNT3PL/k+SXE/YqoXtJuj1i5bSOO8qaHyui5DzdvrqUad3SYq/BeAxHPTlKS4uoqu94y/ZrJU/QqiNh7lz6VLlEOxKus4fIP6jdZpsgtkAwnvXt2Mph45r67ln0ovx3LuDu1jM9o88n2HzWKxLUsvyPAVimUOuGEE9DW1oabbroJ48aNAwBs2LABZ5xxBt75znfi05/+9Iilddddd8V+/+hHP8KkSZPwxBNP4F3velfNcEIITJkyZcTysVXhG0K27V54LTPWCTE7HOQ7RIYbkTvTy3D9DjUc0n4ZJgvp92+Udqf6P+MeAez2JjtHqJecO2JbzyJ1OCHcNTsfA4TXjUfumADNS8S7Gg/n/NayIWamVonXzU1U/E91BgKi7W32a6QnTNJf//Ss1Z2GJaC/yAPaqLk5pY+MseFoCwsigZlbeMIs3GSkMSEAlMl4o0jDikjboBECIOU0IGKdjJBmayE5DS4BqTWipNH+KGh1IyoKIJ/TO4fzAZDTJ4Kpgg5HxQCqqLf0lYt5oElrjFRbjV8y2lFCAE0CYZM+Ba/aLKCa9XaoSivpdAha8ymA1pRq0qr8YQuBmvW2PNWiIFqgF71tIUTO1HXeqP2HAArGOHUx1JpJSkIUQ1DeLP5btCCAQrP9jwQoL4w9J6m1q3ICUAIqb56BghYwCWhhmbUTFcBs6TP2pcyWPZETesth6K1epJmuC70GIfs+yGgrg2uPiDc7/31KtWACTOTRolzo7WzCbHcUvQKBWYGJktbOElJAqpw2EF/KQakAKh+iNFAAAcgHVXT2tqMAhXKQwwAVUMiFKPXlIapAMReiv6+IsFJAIafQ3dMKpYrIyxBvdnYAkMjJKsrVAFIorOspYmN/DjJQWLexGV39TRCSUN4g0V9phhJAT38BFZVHBQLVjXkQSYhOrQmlhEDTBgX064VjrkSQVb1kD/r1aYAEguzX75nsrUCWzKl6veXolMSKMuJrAWm0kQSEti8lBUSpooXAUkD0K9OfmG13QpiT+LQ9N1GtAlWl7UOVq9GzKpvexxf2VMy2NKmFvVbjSRitLauZ7Po1u+Z2giHhuW1nlPidaCORsetIoBHZXBJR2GRjy9AMcloctSBPgFHzMJKMfGYIeuJlzL4c9dHkxZVI11ZlzIu/7TuRNkXdro0uy29sSDCeojW23fJrMuDiiOovPY7p5974+GeEl7Zt2szXHGNd8bLLXQtlB+VNnCu7gpOV/7myRFaiPHcqiXp+kw1kuHmz1yLPSZMlfvjYayesGQ7he0m/X/Yd9EviC29FdnruPR7xNcZw/NZpP7YBC+9C1ny0RnhnxSDRjkWiHevL3n1kh0u2f/0OpcPV7deGyFYplLr66qvxhz/8wQmkAGDcuHH48pe/jPnz54+oUCpJV1cXAGD8+PF1/fX09GCXXXaBUgpve9vbcMUVV2DffffdbPnasmS8aElGshUy2xC2QyXvNzLcjcQzHL/DaXhDmEQwOxBeu6DEyIws9+ZCxP7ESc6uEoufzKgy4hs07lrhoglfLdx2l9g1Gyhj0QdEWlFWS6GqF6TktBjMdr3Q2KIxWk0U5HX+FBmD5qEWilgDylKApNmuY+3OWLc51QtBoNMTwqRdAQnjt1rVGhlEkS0iOwGzAjNrAyvQdm8gpbF3I7UmVj6nP+YUtA0ckgLUnIcSAISAasmDVAjKSYRNWmtEFQIj4NEn1dmFb6VNb+GDAKpt+nQ5ygmEzQJBRaHarG1JyRCodEDbmgJQGUvIDxCkJKgxhFyZIAoEkVPaXtUYBVnRBsJFexWyX+h6bAsheqUWxDQpoE8CRdIL/IoENStgQGrL580KGAhA0NvfqBSAhNZ4o7LedqeqgKhKqCIBJWiD5nkAJWuYHBAVoY2YE7QGVA4QVQKU0G5jfBtSX3cCqapwO7cjZQzjN9EkY80/OXSR18xD88gJCKrQWjihvi9ygOiH1ogLFERvABS11pnqzaM6pgoV5lCqNKG5rYyNfQFyuRAtTWX0dDVhTHsfirkqNnS1YqeOHkgBdPU1Y2J7L/rLBRAJjGstYXX3GLS39KMpT3hjQxsmjumFFCFWb2jD+DEbUalK9PUV0drSh56NLZCiiiAPbFzXjEKxgiokymvyEM0KFAJBp9ACwQGCKCtUc0C+O0QYaEFtrrMMVTBl7ipDNWlBj+yv6lMVS8YYeSAhektauCoF0FMCCoFe3veXIQrGwHiodNsvGfW0XAD0l4BCXr8rA2WIYt68m1V9XZlFZiEASlUgb2zGlSsQeeM3DLWbSD8vY79Nv5NGq9EaNLf9ChD5sX1RahGO9HW/5djFmYkiUzMgKYmpg9MSTeZhqNQQPEWNnzyvNfpxv/wZkdU8kZqyLmZG4dz6pEfhkoufaAikBykRv+3ctdYk9hk0Ov7ZziOR8RpjLAFwp08MRmb9jNxcWWRfHixYtqdEWxl23pL1mHTXS8LXpsuMO8tdK43B5yxpRnsdU2+NUqsh+2sx/Tcm1nNtN9GmU3ENZY4Z90uZcWwaW6VQqru7G2vWrEldX7NmDTZu3LjZ0lVK4YILLsDhhx+OOXPm1PS355574sYbb8T++++Prq4ufP3rX8dhhx2G5557DjvvvHNmmFKphFKp5H53d3ePeP6HTKItpt3CuGs1tmEOpiNNrXKMZLjtJY1NZhMiH0rQRr4UZsVba/JhiUU7hDSGXcdbII2RaGObq20Oly3e/s1kc7hhG2LwyNPZt5PsOgVLld+frCB5s3bWKBnOdybKONi8z1/sZCXpTzLDMHJbuydQkfZaRWlhFQigirFtQtG2FWMbCgBQJW2lmQgo2207ClQy2k+KtN0aYdKyC9ew6rmVtodj0hfmhDLkc9G2wmJeaz4IATQZrahcTi+mhYRqkqBAb6mjYg4qJ0GBQNgk9P0AUEXtrubJncKn8tr+jhIEKkAbH5ek7SAFAipQQA5a0CWF3g4HBcoLY8A8BHKAkALhOILU2UFVEEQASEmQShtBl4IgSEFKCVHUBo6lSUOQQJCHTo8kRKCgKqQjayGoqgJJgbBJQYUBkIOxPaNtWumtkwJU0BpQEAIokD7MS0BrYJlFoRIUGTXXUeiZKekptgoQLeJzXms22lSoQtt5AoCqgJA6Ea1FBcCd4ge9hdDauq4IveVQabfZlRltpyXTTHNCb0MMha7PikBY1accqj6pbdZXBSqdOnOyAvT2FyFIb0FbZ7TGNmxsdYbs121sN2UWeGPDOGgpoGn3QoLW2W1RAq+t69B1QQKvr+2IDI6HoU4j1M8UIRBUFUSV9LV1CkIBsqKQr4TaUHcFyIchpAKoqvQWOEVAZ1WnoUJQT1lrw4QhVBhqZXmljL1IgHrLelsXEahXn7UlSYH69DMSAKiH3OvsNqX0lyOtx1IZwiygqK/krlt1mUhDUoD6S84NDOhr/hY86zYCKUUEyCB6gNYIOhDbpuf6DiubIKNNaWzFIQjM9l7fr8mn63sy0vD9+sIuIZzNpWTPbEnZJKqHW5tH/nwlrcyPAcktho2kM1L4ybjxJukhuehOLkES45NPsr5rkU6ixs3swCM7/fFiG3Qea7z7mRaNBcu6r/uXBp/9UBIZJsMtx2ZLZLjhhl1Xw5mDUvwvWdfmyrDw+pjoXdRd8cj0I1ulUOoDH/gAzjjjDFx99dU45JBDAACPPvooPvvZz+Jf//VfN1u65557Lp599lk8+OCDdf0deuihOPTQQ93vww47DHvvvTe++93v4vLLL88Mc+WVV+LSSy8d0fyOKPbkGe9PXYT5b7hfeTYXfjkGY0t0NKOeRnJBmz2kxtWsN1PeYvmp5dd2rptx5HNVMcw0GmpjQymHXaAhmn1t6TY2Ym2zdnvLVuVPuhvMT0N5G0xy4nnOkMfEGAmB4SCCVrcYTiVRv4/1v1e5rXz6V8Jnnd8Z7TTSdhJDL36UoYwbOgZhFyYuz56QiBC5zQKViMzpe8KdCudmSMn9Im5cElqoYqdqwiw8AS2QiH1NlLE0CIAIAm1TSyDS2AgCrQkCaM2OINDKOYW81t6QgCrqrXxKAlQMtAAnr+1BkSCEBQkEWlhCBSOwEtovpBZGUR5m258RTglo4ZMESBJUXgtSlABEXgv/pBHo6LzrawQBCL3VT1kj4iEQQgtWEJKx5S2ACuktaxColLXtIXdCl9ICOVImTpA2nA29nYKUkfaQgjvWj6ytMttO9bYZIu+ZQxgDVEbolXgBhDmpDwQjeIPZmmU0L3JG8kHQWl22XVkUAUKnTkXvkVs7YUov1gkwNqRMcGP7ShBpwReENqtTNd+jFWlbXKRlmsJoaIkqIGw5wsClIWDrBHBCKAIIQTT0mbYpyNtS6xubE9GrKmBOviOznUUQFEktS5XmYHYFKGEOFjB7sGRoT4Aj3UZsm1DaTpgQ0p1IKO3hAqGAJCvQCaENjaloOFWe3SWvPwqiAmd827QiGO/EOXvFPX/bhuGNj8Jt342EWQIIrVKUAGDtS9lmmBbG+P1YZNg6jPrTMHRGnP325B9574ps8uP6DZ0ofDs95lQKkx9/uKGsyhkcf0ui7f58E0axjwvC9aMxBKIAGcNMTJnJ3Bdeelk0OlXIFkn5i9zohteb18U3UB4ftMyzsf0cov4oul8/r/a2bOBRuVzU9LuJ81x/vjKUwbmm36FMapjNQq1nWs8vEDsdE74Ns8xn7V2MzZuy/GaHI5UOZ/s711lnxlV/HuuKQJnHHo0ufX19+MxnPoMbb7wRFWMDIpfL4cwzz8RVV11V1wD5cDnvvPPwm9/8Bn/6058we/bsIYc/6aSTkMvl8LOf/Szzfpam1IwZM/BuvB85d0zMFsZvlHUHxax7dqTYCppP7AUWO3Tf6i9snZ0VNDAOJfsTsoP2yOcnulkjjc3dJSUmmQ0x1DY23DIMZ3I6isQmjxntbbDBLnv8G8HnXy+uWGMX8Zl3pl+3iqzvN5m+tTYZExgNMYm6WUsYW/cN82ZSK2JvmZTYkjf04scXF1n9UdRsrEskbHt5Cyl/nGpozPLzR1E78NuDXdC6cpstg9IsVaTUGhdCaGFTEOitSIFwp+NRoMOofE5v3QsAFUggH2htqEACOYkwD6hAaOFTXjhtpzAHfYKdFWDl9fpe5QAEBJXT10gSSELbYJIECkgbAhcASW2MHJK0AMcIcawwR8SEoQQpjCIHCb29r6oFRRJAWJUIJBkBlnkcRnFECImwov0KAR3O2Hkie7oeITJMbhTgyGgzITCCIbMVL3oO8IQOSDQQs1h0tt2iZ+oenV1cSmO/CEIfDahMxJK02yZH5qQoAoQyWweNcImkFjRBQWvBVU1+lIBQequkqAgIY08rKJk4oDWkQIAICQFJJ7+RZBTAQq+lec1R2EVIsvjWj/KqwhnCJghlbOUo0ppPSm/jlKFOMKgo7a9KkBWllQ+ryp00KSoKUiltt6sSutMoRTV02odk/4YqMtptT5KzGoqkC2KXEkT2OWTPEcn2t97zd04jGLbvvT3ZzR5c5bQTE8JnEQT6gAIhonBBoFO2p+1Zv8YOXcyvESZBKX3fVbxJg5LhYMJZvxTF4cqhTLhIQ8oa246fPubhz01i7lQ1xn8LIDYY+0J5G5cNE0sz0cnXnCzaa+TdTMZTO2BGM0jlITrm3hoeF0hMMGLYDxW+OzaHSNYlTE+RlQZQf4wla+9Ox5vOUbz85Dq1evOPTZjn1BqQBxucU36HnwVmJKH4HHTIz9EbOWxfUKtBZ/YxAtFW1qGEazxvVariftyOrq4utLe316yJrVJTqqWlBddddx2uuuoqLFu2DACw2267bRZhFBHh/PPPx69//Wvcf//9wxJIhWGIv/3tbzj++ONr+ikWiygWi5uS1c1LNJo24Mk6G+hUBxvkankedofpv9z10tkSjGSPP7Q8iyw3xddgseWoSFZ5nU5tGNgpQTxnGWlsiUezyWnYNlbPzzDrbhubKGTtBKjZxjy3uy8ywo0UWdWfWb9+B9VohPX8ZrVzxCe/GQjPq+8eLDm3ADQhCapO3iK/+hGk3b4vaww29qV8kPxk5tFzS/+Kfeju4ZuFIrzT9GwjkdJ486QXfgP0FhuuAMmtNf6XdKdl4UlIAqPBIqX7J6QWSJEU2mi5FNpfXmtIwQqhBIyGk9Rb7qTUQiURQklzDQQSEqTIbA2TQJVAgrTx8wq0MAlCa+IQoBRB2vuh3nKnmgVQJUgQwgIgoTVlKCBIIqeFFVQIVJRaqFABVEFr+4gKoHICVIFZc5sT+6w2QRlQOakFHGWAChKBIlBFQEkBGZpyCIKskq4fEAKThtYuElA5vbVLQCCUAgEpIJBQQm85o7x51lUgzAtI6HpRgSmTBEJJCEICFbRfGRJUURjBDCHMA1LpegslECjSQj/SghlqkqCqFtiootCaTARtryo0J+0B2mB2YARMoTFGb+bqKi/1KXFCQBUEZFk/9zCvhVGUM3mrCr2tsKwi8zMV3U6tcE4IgEJoLbQAQEha6CVhNKrib45Q3uTeuXVbtusJJbTwQx9fbwzcK6F3tEktIJOKoKSEqEBv/4NwgkUQ6TxJGZ3KJuwWSK1lR2ZLmvuObbfR2tdR2fcr2VmY0d8JhuN9g7+4ITKSTOVEFaluMNWFE0DGJp0dmgHvWjwx+J/BKPE3K3v1/arYLCZy676FTFk0wpWGEmOBf5JcFPkQ5kUucwmPdkuiFdIkO29/cPb/xtyep8RilNKeY+6GZkG2KrxxLDam1Vj8+u2JhBfODefpuhTWbQVLQ65jbyYrssusH7xtvVkCLGSXKZb3RJRJak0WBhucU363IoZS/lp+t7H5c4TYxOdo/XonY6Z6y2T/Swl3Vk+W4TfVdrMqPatHbWzSuFUKpSxvvvkm3nzzTbzrXe9Cc3NzpgrupnLuuefilltuwW9+8xu0tbVh5cqVAICOjg40NzcDAE499VRMnz4dV155JQDgsssuwzve8Q7svvvu6OzsxFVXXYVXXnkFH/vYx0Y0b5sfO5uwfxqtW0p0/IOFG+x+cmQcThy+t22yVxoR4q+HN0NLXHZ/jNvXyIwWrRRNZkYkP4h3gllpNGBYeXh47XRT02ikOoaUhp+34WVp68ArR602lhUk9nsEH7zfF4x4e8oiqx8Tmc4RpZF3PgO/SrLff4zA+x8fH+LLQbNq82xg2VP+/JO3TERaQwP+yUzIzluyDYX+PcR/CJlKA4H0jla3kzS92Q3lijuanioViFyghWgloQ1xC60dFRhVmDBnDHrDCGtAIKMVJaAFMXYbVLUoERihWrUotBBIaOGIIC18EUaoVm2WkFUFSUClGchV9KRRNQFB2RgQh95+FxYFZFlBhEC1SSDoJ5ACqgWBXEm7KScgK1qbS4Q2nERQ0tv5qk0SuQHS28HyUgu7jPBOKOithFV9wl+1SSAoa4FatWj8EqAKQBAKuwsQQkEL1EKbhkCuQiBFqBa1G9CCNhHCCJ90vGETIMsKUuny50smjWKN8pttidVmgdyAXquHzQK5kn66Kq/LT3ndXgQJVIsCsiwglEClSSJfEiCln2NQ0dspBUkIpcskq4BUAmEA5KoCUNoefM5oW5Ew5s6ELrsgrRUnTXphoBW8AHOdtIDMfv+wRt0FbNpGFiSM5hXphbo0GlRuSybBnEipNXZkIAGhn7vMCW03KdDtGKHWMIoEueTeD6cpYt8xpbTGnvktjEpXtIXM+I+tgXV/Mmg37y+0EnPM7N5oJOaYjZGMwe/TnAgiczjPmCvX7V5HYMCopZGVzE+yX8z07j0PUd9rVkw1hxIX1xaa/AxrPEu0v0HiiLSCa1WQXXtRqn1HbJFJy1bG5moDO0pd1u6d6t8bit/kPYnGaOzZbpVCqXXr1uHkk0/GkiVLIITA0qVLseuuu+LMM8/EuHHjcPXVV49YWtdffz0A4N3vfnfs+g9/+EOcfvrpAIAVK1ZAyqjiN2zYgLPOOgsrV67EuHHjcNBBB+Hhhx/GPvvsM+T0dz2gE4Ugegw9GwpY+XIr8sUQu+yTNob+z6fGAQB2fstGNLXGvwSterkVGzcU0DGhhIkz+mL3+jfm8Po/2yAlYdf9N5g+MRJKLf9bB8JqgKm79qC1oxILu/b1ZnSubsKYsWVMmdUbG5TK/QFWPK9V8XY7cIOn+aD9rHi+A+WBHCbN7EX7TuVYvBtWNWHdG81oHlPB9D16Yp1ztSzw8nNjAQCz9utCLh/vVF5fOgb9PXnsNK0f4yYPxO51ryti9YpWFJqqmLl33DA+EbDs6bEAATP37EKhxU68dH2sXN6Cns4Cxk4qYcJ0rw4J6O0u4M2XWhEECrP370Z8okN46emxUCQxffeNaG6vwn8J17zajK61TWgbV8LkWfFnM9Ab4LUXdR3u/tYNSPLK39tRKUlM2aUXY8aVXHoAsP7NJqx/swUt7RVM232jKwdAqJQCvPKPDoCA2ft1Ish7AiACXntxDAb68pgwrQ9jJw246wCha10T1qxoRrG5ihl7xeOlUGDZM+MAEGbu3Y1Ck4rVxZsvtaC3q4Bxkwew09SB2ASzp6uAlS+NQS4fYtZ+3d4CUk9gl/11LIgEpu/RjeYx/moSWL2iBd3rimjfqYRJMxPtuyeH15e2QQjCbgd2purw5Wc7UK0ITJnVgzHjbPvW7W3dG83YsKoJrR1lTN21NxauPBBgxT9M+z6gUxvU9dRsX32+DaX+PCbO6EXHhPiz6VxdxNrXm9HUGmLnt8TbYVgVWP63sQCAXfbpRt4YGrbxvrF0DPp6Chg/pQ/jpw7E4u3ZUMTKl1uiPsJpbel2/M+nxwMg00eEsWezankLNnYW0TFhABN37nPpgYD+njxe/+cY3Ucc0OWFA0ACy5/tQFgVmDq7B61jq7F4177ehM7VzRgzrqT7CIsglPtzWPGPdgjoZ+PeCpP0in+0o1wKMGlGL9onlKOFjBDYsKpo+ogqpu+xMRawWpF4+dkOgITpI8JYHb7+4hj09xZ0HzEl2UcUTB8RYube8X5W9xG6n525VzcKzfF2uHJ5q+kjBjBher8fEr1deby5rBVBjjB7v674OoSAl54ZB6Wg+4i2+LNZs6IZXetMH7FLb/RsAAz05vHai2MAALu/tTP1bF75h+kjZvVizPhKrGta/0YT1q9s1n3Ebhtj73mlHOCV5zogYPqIwKxujUDotRfbMNCbw4Rp/Rg7ueTaCoRA19oC1rzagmJziBl7dUcJgkBKYNlfx+p+dp9uFJpCbePFFOmNl1rQ113EuMn9mDDNGC8GIIRET1cBq14eg1wuxKx9uxB94dfxL3tmJ5ACpu/ejeYxFW8pSFj9aiu61zejfVwfJs3s9Sof6O/N47UX2yAksNsB63Q4s61HSIGX/z4O1WoOk2d2oW2cGVuFljStX92KDevb0NpRxpRdut02Q5IS5UoOK/65E6SU2HWfVUZjyS72CCtenYD+/hymjOtGx/h+rSUltRBrw7pmrOlsR1NrBdN3Wg+ZM9tQBBCKAMtenADKS8zedS1yQUWnGwiQIry+ahx6S02YhI2YuFOvsSpNEC0CGzsLeHPNWOSbQswaswbC2KeCIqAg8OKLk5ADYZedO9GcKzkj0agorFzVga6+Fkxs7cXkST3Q4h1AtgJ9PQW8+sZ4BDnCbrusggiMJC4kQAose2USgs4AO+/cidaWAf1MjYBj9fp2dPa0oa2pD1OndmnNIXNi2kApj5dfmwAhBd4y6w29jU4IoKqAAHj59Qko9QWYOqkL7WP79RYxo3i+rrMF6zrb0VIYwM7tGyBaTDgBVCnAsmU7QUiBXWetQSAVRLswghPC6+t3Ql9PHhMm9mD8+D69XU9qQ9pd3c1YtXYs8sUqZo1dB9Gs2woJAQiJF/85FZCEWTuvQTFnxnvTvleu3gndvU2Y0N6DyVO7df1AAFKgd2MRb6zcCUFOYbeZb3qCCf0M/rl8CkKS2Hn6OjQXS/qm2ZG7el0HOje2oaO1F9Mm27mCTnegP48Vb0yCAPCWWa86wReMRtkryyehGgaYPHU92lr7IUK9vQ8hYcPKZmxYPQYtrSVM23m97gTDECCFSr/Aiud1fzhrr7UIpNVm0tv7XvtnOwY2Bpiwcy/GThiA0+ACoXNtAWtfbUWxqaL7iEjGBVLAsr+afnbvbhQK1dh49ObyVjOPKGGnaX4/C/R05rHypVbkCkrPIxILnmVP23nERjSP8cYqIqxe0bqJ8wiJKbN7MGZsfJ7s5hHtZUzdrQ9+X1kekFjxfAcAYLcDNgAisoclALz6QjtK/TlvHgFXps7VTVj7eguaWivRPMI0p7AqsfyZsYAAdtmnC/lifKx6Y1kb+jbmMX5KP8a7MdDOI/JY+XIb8sUqdtmnC/4cAwCWPmnXGt0otob+FAOrX2nBxvUFdOxUwsSZfbHxpr87wOvL2iEFYdcDNkTjjfDXGtJba9jAhLWvt+i1xrgypsxOzMVqrTUMK/7RjvJA0MBaIx5vtSLw8rNjAQCz5nRmrjX6Nuax07Q+jJtc8pdNibWGN48ggEhg2VPjAEGYsVc3it48gkjPIzZuyGPc5FJiHgE9j7Brjf26kOSlv46FUsLMI+LrwDWvtqBrbRFt48qYPCte1oHeHF57sQ1AvbVGoOcR4+J1uP5NM49oq2Da7j2xe5WSxCt/1+179n6dCHLxOnTziOl9GDupFLvXtaaANa+1oNgaYsZe8XjdPAKmj2iKt+83X2qN1hpZfcTyMcjlFWbN6TQRRhOydB8RselrjUH6iIbWGvE61GuNHCbO6PP6CI1ea7SgqbU6yFqjS681PN7455ioj5ganydnyiM86fI/n25cHlEOq7j/6VR1paGtkI9+9KO0YMECevXVV2nMmDG0bNkyIiK66667aJ999hnl3I0MXV1dBIC6uvQc1P6758czaZ5YRKfufmzsuv03TyyieWIRPffw+NS9Kz/ydponFtG3zz0wde8vd02meWIRva/9/ZnxnjjpfTRPnkQP/3Za6t71iw+gefIkuuykd6TuvfjEWJen0oBM3T9z3/k0T5xEd/xgdureLVfuRfPkSbT43Uem7q1+tdnFu/rV5tT9xe85kubJk+iWK/dM3bvjB7NpnjyJzpwzP3WvNCBpnjiJ5olF9OITY1P3LzvpHTRPLKLr/3O/1L2HfzOV5olFdOKE92bW4fva30/zcCL95a7JqXvfPvetNE+eRFd+9JDUveceHk/z5Ek0T56UGe+pux9H88RJdM+PZ6bu3XTJ3jQPJ9LnFhyRuvfa0lZXhxtWF1L3zz/0PTRPLKJffmOP1L3fXLsbzROL6Oy3HZ2619OVc/Euf7Y9df//ve8wmicW0Q8+t2/q3gO/mE7zxCI6ZefjM8t6XPEDNE8soqeXTEjdu/pjB9E8sYiu/thBqXtPL5lA88QiOq74gcx4T9n5eJonFtEDv5ieuveDz8+heWIR/b/3HZa6t/zZdl1WLKKerlzq/tlvO5rm4UT6zbW7pe798urdaZ5YROcf+p7UvQ2rC64OX1vamrr/ufmH0zyxiG760t6pe/f8eMbw+4gPb0IfMfEEmicW0cO/mZq6d/3i/WmeWDTMPuIYmicW0R0/mJW6d8uVe9I8sYgWv/tdqXurX22meTiR5uHE7D7i3e+ieTixRh8xq34fYd7HzD7i5HfQPHkSXb94/9Q910dMPCGzDt/X/n6aJxZl9xH/cSDNE4voyo+8PXXvuYfHuzrMivfU3Y+leWJRdh/xpb1pnlg0/D4CJ9Ivr949dc/1EW89KnXP9RE4MbuPeP/hdLQ4mX7whXQ/+8CvZtAxhQ/Rh3ZdmFnW49tOoflNH6anH5iUunf12XPpmKYP09WfSPezTz8wiY4pfpiOb/9QZrz/tudJNL/tdHrg1+l2eOPlh9CCKf9Bl3w0/c69/MJ4WjD1XJo/85PU051P3T/7+A/S/Cnn0G9+NCd171c37E9H73oenf/+dL+1YV0THTP9XDrqLZ+k117uSN3/7NkfoHm7f5Ju+vbc1L0/3rYnvWfOp+gjx56WWdZjZpxDR88+h559Kt0O/3vx0XT07HPoO58/PHXvL0tm0FG7nkf/ctAnMuM98ZCP0zG7XkAPLUn3h9d97d30ngMupMvOT78bLz43iebt9Rl6z9supFIpSN0/4/2n0jGzPkW//990Hd5y/UH0nv0/RZ8+Od1eVr/ZSvOnn0Pv2fc8Wv1mup+94IwT6ZgZ59NPv39w6t4dv5hD7zn4s3TmCaen7pVKAR1zwBfpyMMupheen5K6f/ElJ9NR7/gSXfvtBal7D/1pTzryXZfR+9/7X5l1+C/zL6Ijj/wyPfqX9Dt39TXvo3cuuIIu++rJqXt/+8dMOuKEr9IR7/1Kdvv+8GJ697v/m/5wd7rfuvm6d9L8fT5Pnz8zHe/ryztowdRzacHkc2jDmqbU/U8dfTzNH3Ma/er/S49Vv7l+Dzom/yE6++3pfranK0fz5Mk0T5xUfx7x+fQzH3Qe0XQizZMn0dNLJqbr0Mwjvr655hEnHJq6p+cRJ9E8cVLmPOKcg4+hY4IP0m+uTT/zX31zTzomdwp98vD0XGzD6iIdkzuFjsmdQq8tHZO6/7njjqRj8qfQzZem52J//MlMOiY4mU57y3GZZZ0nT6Z58uQaa41DNnGtcXLdtcalJ9eYR5hxOXMeMWc+HS0HWWu858jUvdWvNruyZq813k1Hi5Poliv3St27439m0zG5D9LH9k+PC6UBSccEH6RjgpNrzCMOpXnyZLp+8QGpe3oecdLw5hHnbt55xH9tprXGJ2qtNcwzrzmPkCdl9xG/3JnmyZPolBn/klnW4wqbaa0xfRPXGqLOWkMsyl5rfGMPvdZ4xzDWGguOqLPWGEweofu0zD7io2+nefIk+va5byUiLevQMo8uqsdWaeh8ypQpuPvuu3HAAQegra0Nf/3rX7HrrrvipZdewv7774+enp7BI9nK6e7uRkdHB/79gCNHSVPKqvUOpilFnqZUSX+9oEjaHPt6ccCGyDyH+TKy4h9tKJfyNb5eFLHujRY0jykbTanoXqQpRZg1pwu5QrwetKZUroamVJYWhM4zWU0pGE2p5rjUuLYWhP16MQZBrsbXi6c76mhK1ft60aCm1KxejBm7hb5erC0aLQijKeUxcl8v0nXIXy80Q/564TEifcQBnal40184I2LalJvtC2dPTPOoWpa6jyDCrP2662hK9WHclFIUEGT6iBYUmtQgmlJD6SMo6iOCELP3Sz8b94VzN9tHwOU50pQqY/IuPTGtgYE+oylFwO5v63TXrUbTK//oiLQpx1di99e/WcT6N5vR0l6NNKVMQSvlAK/8XT+b2ft1IcjFNfZee6HNaFP2YuzkcizerrUFrFnRgmJL6LQgUtqURJi5z0YUmqpOEwrwNKUm9WPC9AH4mlA9XQXdRxSU1pSK1TDw0l/HgUhg2u7daHHtW7+Xq19tRffaItp3GjCaUjpOgv5K/PrSDgihtLYCEJ3wB+CVv49FtZrDlFkbtTals8UCrFs1BhtWN6O1o4Sps3vhN8RyKcCKF8cDRNhtzjq9JcrasILAqy92RFoQ4wdiGnCda1uw5vUWNI+pYuc9ovZCAJQK8PLfdwKEwMy9NiBfMP2s0Bo1b77Ujr7eIsZN7sX4SfF3uaeziFUrtBbEzD02wByZ59Jd9swEgAjTd+9EU4vXDgGsXDEGPZ1N6JjQj4nTez1NB6C/p4A3lndABoTZ+65zebG8/I+dEKoAU2d2oaU9/i6vW9WGzjXNGDN2AJN37rbVAyKg3C/x6rKdAEXYbd/VequYPa2MCCuWjkO5lMfEaV3oGK+1h4j0Vr4Na1qw7s0WNI8pYfpuGz1NS2htyud3AhFh9t7rtRaEmfKSEHjjpTb09xSw09R+jJvYF1O46e5uxapXx6DYVMXMPT3N0UBCKWDZPyYBQmLGbutRbDV9DxEoJ7FyRTt6uooYO7mECRO7XTiECj29TXhzxVjkgipm7bNBa4sRgXIBhFJY9sJEqCCP6TuvR9OYsja8TwDlAqxe2YbuDS1onVjBlEnr9RbAQgAZKvT3F/DK6xMRhAq77/Wm3p6nCBRIiKrCK0t3QjnMY9rEdRgzRvdbshqCAGxY2YL1bzahZUwZ06avi76GV6t6HvH8OEApzN57HYLAnDQHvfrQ84g8dprag3ETB2LzuK510Txi5z27nLaNAgAzjyCy2sKhaUoEImDl8jHo7cxj3KQB7DS9P6aN07MhjzeXtyJfIOwyp0trHXld4rKnxkIRsPNbetDcWvW7Sqx5Vc8j2sYPYPIu/fqZARBCoH9jgNeWtkFKPZ+11+2exJf/ZuYRu/ZgTEc51uete71Z9xHtJUzdzfQ9ph7dPEIIPY+wey8NrzlNKW8eYe7HNKX22BjTvA1DaeYRQs8jCqEXL+GNfxpNqcn9GG/nYqYee9bnsfKVMal5hF0S/vOpcSAizNizp/Y8YvwAJs7sh1/5/RuNppQkzN5/Q9zkihBY/rcOVKsS03btRWtH2fWkRMC6N1rQubqI1rFl3c96z7TcF+CV59shRHytQaS1zlb8vQ2lgRwm79KH9p1KMSXl9auKWP9GK5pay9j5LT3+o0G1IrD82bEQEJg1ZwOCPPlVjDeWtqFvYw4TpkdrDWGeudaUGoNCUyVjHiHMPEJgxl5dKDbbNYGu35XL29CzIY+OSQOYuHO/KYc+TKG3U2uxySDE7DmdqZ3sy57uAFGAabtvRPOYSuz+2tda0LmmiLZxJUyZ3RcL198T4PWlHXqsOnC9NsJv+i0hBV5+TmtKTZ3di9aOkmv/RFqbcv2bTWhuM9pmXj9bGTBrDQHMnrMBQd5VAiCEnkf05DBhRh/GTvTaN0HPI15rRaG5ipl798SnNiHwz7+OgxB6LpZvUq6sQui1Rk9nAeOn9GOnqQP+66jXGlbj2q41XN9EWPbUWBCk3pXRGtfSXP1qK7rXFdA+voRJpo+w9/U8ud3MIzpj4SAEXv5bO6rVQK81OsrefcK6N1uxYVUxW5uy32pTEnbbv1PbG/Tuv/r8GJT6cpg4sx8dO9l5hK7jzjVNeldGSxU779kTCxdWYbQpBXbZuxP5Jordf+OfrejrzmP81AGMn9ofm2Nna0pF9//51DhACLPWqHhvXLam1I1P3z+oofOtUijV1taGJ598EnvssUdMKPX4449jwYIFWLdu3WhncZOxQqnRPX0PnnDK/ZfhCcYSKHnXavnNii/Lb0YadRksb8ksUNbFRHq1yjFSiHh+/G1WWXnLvLzVvZ4MM4rU6mMG8RsFQNRvRBON7HezRlQ1+5ihMNxy1OvXGg03hLwNO410OD2v09d0kf3Fig3ihU8sZmKzazchtjNUszhxaUXGmn13NLmM4nU59QUsnh9rjyeZB3fkvDDGuikeLiqny2I6Pdtu7ArLbOnRURnDU16+nK0tWz9+mfyyEbnfFNrt1bYuKPLj/MbrMtk2CZE9T7dQhznJSljj1wSYRZXzS96JWsLk38ubE975detNSbXgiaLn6NdxrNxI3Kd0vO66CW/ef4LfVnRpY3t0vFO3nNkbKaN6sidGErTgCaS3+Pmp2fzLRL0A2rB4ICPPts5dGjo9MqdCkrEJZdMjm1dBINLGzQmkT9kzz1yG5iQ5u2WPKO6uhPoZKdKn7wGACrWBfAEgVPHnYdywxs+Vcs/Jazhee0L0O1Yx0aOK/4g8kPcRVD+rKGDaxmxyPpXVdw1n/qfr1hZBZM6FMwqVOj490QYBWJt60XsFkDFWX7dPNT+Fe1+zK9Vf4cV9UMYwlvCcCuiPlVHedVD/eUR15cn9E3WRXSx30Vmsp3j+Mp+5l0hjw1H84qDDWPKik4jFx6xMRMpv7P2HX6TYyxKvbqJozMkqh993J/zGik827qj/dH5jY4hfpuwKqv1upqvHvz+09zgxrtXzW2PeUfvZDBbHYH3ESPgdyTRGKm+oXWWpqETt+977s02fvvfOd74TN998My6//HIAuqNWSuFrX/sa3vOe94xy7rYn/AFIZLdZyvBbs3GLQe6PMJl5y/RQw8/mzmcyzVr5GazD9P1tobplmK2SofQxNfzUXARlehiEofj1GW45armHEm646Q3Fb/0JUPbkWt+LnGk3Wbdd7Dmhhr5Onn8CYpPulADEE+qQP+mVMuamqul3pdQLdSEgZACo0AghoA2fW8EC4E4mIwFnt4qskMmut2w+pARIf6nVxqRNeGHya+09ASAhnVAAEtll8stPBKclRSpauGQtPmMCA+sWkYdUkzULdSF03EIAytrisvUtEs9JaFtFtpwqBNm6tOUOw6hewlALZwBjWDuI8mnjFVEaClF9Q0THv7s8Aum2oJRZ/wr9HK2QSRGQ8/IWmLwJoU9frIRAPqefg3VbgVsuB1SrOv1cAKpUIXLGgHipAlEwU+9qFSKfMzanTHpV3a5EPgcqVSGKea0tVQmBYl4XNyRQMQcRKn1iYi7QpwPmTDsdqAB5XVeiEppTHlX0nMrGzpIQQKkMCH1CH8plUz8EMs+JQk9DLwyNTa3Ec0y9Y5HKvIg1HJGexmR2BBkLeSCx6B1kcZohYM5Mo5HFm3fZCoG0gLdGflJGu20EGeMN+fe9i5nz28R4Y7xFRYzuk/8+D4Y9haShBbz3FdhbN4iM+o5VvS/obeT5237KL1vms/SuJT90DJbGYH5FnYt+xcceQsZaKeHXr6tsgZT5LeJZqDsaJ7JYs/hWkOj1o1EajbwrWQK55LsZj85/dwd/jxPpiSx3rbxFbqpfWzXiqOceSrjRSmO44bL6rkYFeUNZvw7OVimU+trXvoajjz4ajz/+OMrlMi688EI899xzWL9+PR566KHRzt52RMYgmGq7tuNqQCDiqTjW7qSHS1Yc/gA/lJc1I9jmElaPKDUSHYlybK7ybxX1xmw31OxjGgoc/+v3aZtrXlAzK5tSjm2dGmVtpApqCKqEyhIuev5jCzTr9o5P9uMNve3IbhsegNAulAArMCKlogWG1TCB8AQy0NonwqQroJ+1/8ytoIO0kEcAWvBkhDF6XWZXGSoStlU9YVFS2wlmUUqkBQdhVA7KEki5cnmTzESbdKGsZpQtB6DXKaEyeRSxNLyP6chUzKeqV05/MW7qM/Sfgeeu1V7CSFDp6iqpZZeZnnGEXt6r3vbQ2I5l86NqLwp9MqPLm92iItyJiTEtonI5cg/Etzm6fNrF4kAUF/rMtg0pITbqZyCkhETUXpygLvlsgZimE5RybYRUFVagRqFyxulhNaz85+YLAkNlhKq2rclo26V9BrG1JNV+blmIuEhrEM8uiUShB4kgq3OvvcDWUVoNwHRsurmbNuaEA4NJFMxtK0yt7zWdJjW2BK87jKUEUo2MjxmTOkpcE/715EJ2cHfU9GqXMHYiKw09Da8DHJpf8q5l9W0x4WMULhr+vf7HF9plFjIeXV1qZT2VJ79f9P3WSsh/ro230+FPn4YSssb7P4xUNz+NPsjRwJtLZc1NRcpR435tL/XYKoVSc+bMwYsvvohrrrkGbW1t6Onpwb/+67/i3HPPxdSpU0c7e9snyf44RQOtK9l4/TEICXe9PDTitxYSjQccRn/XkN9tMY0tnjeK/WGYhhjJPmY02dRyJMNu7j52JMKlbumXv/bUts7C0BurRMJr5togFqXte4bQEGqMj6kYTAaF8LaTSC/Tdb70+km4BSpM/djtWlYg4KfnL2x8gYCtiJAi4Vm97Tl+GHtRmDT8dH2tMksIT0Dnp2GEcylBgV9+MqX0ykFeeonTRePtUMSkHiK21ceEswKTRF2JWF1Q6vlG2z4EBm/zibzZZxoTzinT1ikznL+lxy9i/JnYLZPGdpCQRqNJ26sSsY+HIiqTqatYmX2Bj5Q6LU/IKkQAorRWhBOA+FqFftuo9QEzto5PdyhxRT+vLhr5IJpKyltY2bog1EzDz0/2K+p3MIl+KFEcf4upSOSDPMFEKuAwBydfPjzs4U34+Rqsf8wYu5IXvDqOKsYrZ9TJuQL4ui362SDdmWcUML6FzHM1mgYQvf+xRuKF8/xG7hppeO+QbgoiI41YyzR9LNVvCrX6oyx3qm9PekpcIy9ek89491jrfRx2i9usUKwCtmKSz2lT53HDDZeJGJVHu9UJpSqVCo499ljccMMN+OIXvzja2dlByOrJavkZarxoIG6fofj1w9gkR+dFYoZKYtRjmGExnD7GsjV1FJtSjqGG2xJpWBKLZHvVbn3JegTeoq7mdUIkqEnlEaivvD/UvqfRGWC6nJm3M8MmUkxoPpBdLNgfia16QhrbUbaOVGgWYXBaW+T7Vf4WnHhckYAB8TSEF84Kqtz2RbPVyyyAhJTar82Pi9e6/Wrx2pVdiPqPJ/mcM7TlYm73KtUK5z9/P7zv1Q+b5cd7BrF4jVMm8paVSK3LFG0n1Vp2xpaVMvVq604KgIyWnbC2rBAtcIPAZSuu1ZN41rYMSpltteZ5JIVYsK9djbLHmnPGOyYooaWXWjl74WINILvOakD+ij8VfyJvvral8PKQfOYxQbAvGDDumu+5F4cLJrwoRGSqdVPGoxGbStmMNRLhIOsG/x3z+y8gaqNJv36bitVL9nuaCj/cNHy/tm9LlWOQcMn0s/Lkh/Oj8j5ANLrtsqbfwcJZTVd/DIppk8KcROATPetoiKg/ho0W2e//Vgi5/zy2pnnc6DzfrU4olc/n8cwzz4x2NnYMhOcYtO0Ns3G6zquBKIbityYEFkxtA2wLgwazbTDkPmYrZbj935boY0egb3aaMK57JiTnj4N9uMv2mPguKgBBdSZeZCMYyuTPBfTcnqDHfVkXifx4Qhi3iLVReIsWIxyw2+KEFSj5wiJKlDOmhRNb4aTux/zGD0utX25X9BrfnlUUGfnb3szWu7icIuvpitoKGanF+igMGlkCJx9/8ep7sGaYvHYW15JKFNpWtdcmrGDMXz6Sb0MNZoHpLyy9607zQhij/ElNt8Q7IIzmVPLVse3QbkOkaFWawH+ZbZtPt1H9OkR9gVcFiUV/5L9ex1D7TU5f9dNI7d72X5usfMXKTJ6fBtql8NtBlGm3Y4t0rzGcrnUwediQYxusOCLlSENeWesJkZLR+uEizxn1n5GdZLihpFFTWDqEcIP5HSScvtx4HzfcM8rI62P8/t11QjWfV3SibNRWG2kslOGukbeGfWan4McjGo5hS+G1hppZq5fnGh3WUDqAIc3jRmeyvNUJpQDgIx/5CP7nf/4HX/nKV0Y7K8y2xta86GQiMm0AMAyzfZFc3WVhhTlITJKHQEy+kxD2pLJEsTCN4+XRbc+p9QHERG4NsluBVK00E9pPVGMBFuspKXkHtRdXg9Znsg/OkkxQDb9+GqnlZHyLTIxGlx6jtLhI1q9f8c4WGQYZuvxIMo8JrokVXiQUy6LsuOZIgLddNH6SlaiTVI169e2zkbdVL6mpZ90uuoz4vHYjjGAzW8gTJ37Lq+9BStHQ++8SqROjb+w3tV11mPOVrHmOXz9Dj3HzEOsft5K5Wb3nyAyTRsZmczstQ28QquGu710N8urWTMG8/430MVuepFAJdfu1eDg/0PbNVimUqlaruPHGG/HHP/4RBx10EFpbW2P3v/GNb4xSzpitGwKU++RormVJ6t2nqegLlu9OhcMQ/A433CinMSp5cx7AMMx2jluTZ/fH3pLVzCcb7WMiwY+wcWRpDlmnyPyRjZUIGC0U/dNucaoVxGqUeLk18URb4BBpQ3k4v/Y+aYGDEACpKML4+p8iv+Sn4V2PVZWp71QdI+2mWuF8v37/TrHnUf+ZxtOIlblB91DCbUoahGhbmyt/5rYcby2UGmKF545s1NRvS8nfRivPk5k0dpKl/uW3eLJp+4nYLZegSCvLZMTWiWvffjt2bdNrg5RoY65d1Hs3s+YKAjGBbkqWOdT3f7B5jJeeQKocNdt/VFXZ75ivMRkL5uV1q5ljOs9gdgAo6chqN8YpGvA65Gbs9U6x97hWuOidH/n3f1MKVcdvzQ9kbiDwrqe9piYL2ylbpVDq2Wefxdve9jYAwIsvvhi7J7IeLLNjIzxHbLJQy03Oe6Y7FW4ofocbbpTTGJW8uYsMw2yPpCZaib7CW6gJRPe11wb7GOvXzu9qhkuGEYN3PyLKlZZNGeEUvNO33PzX/CCkBEEAALvej/1fO6fk0k8I7FLlAMhoN1Ci7Nmn3VG2u04d+8+j7rNR3rUhPVObHRqSe3P5TQmyvDynBDmJIjUyxAq74LJtKdEQa23N8ee/sRbhvAvENloaT7bufWP3mU2fyAiYTJxOMEX60RIBirwtfjY1V5hY/lPPvN7zrzlXoOg9E/B3EXlRNPj+DzaP8QVHlAzWWDuu6zfZbvw8+wvdUZ9jOg/RLZHhzmIofplNZ7jPJuWvXluIfmubciKepsfQlgqJvrTWe5z1/sf6vRF6/zc5XJ37/lcqh0yHT5KSAm7fbFVCqZdeegmzZ8/GkiVLRjsrDMMwDMNsTiJ1kRGIq8692GQ9OYO3k8X0l1knfPLzSoCQGYkNNmf0J6vJ/QmpNIxRa7PlRwiJeho9WtZg49QTfTL3k+7YdiRfSCETaZgT96xbSKnj8vMWyyfifgGn2dOQZpIfzrgb1Wiqm59G0sjKZ6z8NKQyudO3GvJrG4e38BNwCz8nZLLrLivEtU2G7H+APu1QOv/xdmwCu3aXEMrGhFVGGOq3eZMo2XWUIE/7cYgv8HAEF1mL6Vru4RJ7J0cgvkHTy0h3ayLVb6Y6yKhB+u5afWzNcJu5HNsLfnWKodZxvI8ZWsWLuj+HHp+X5+R2+lpRbIn3f3Pj8ug/s0HqbQczdSIH97Ll2GOPPbBmzRr3+4Mf/CBWrVo1ijliGIZhGGabxk7shPdPmkW5EGbxLYwbzi3MPynspj3PYLRH6lQxO9dU5q/RMMmag0bmtKKNgVYA4q/3hSdQiLkRXZO2eC7Pcbe7Bhi/pjyx9Ex8UsbTs1Xp0kX9cEJo4Z3QQjXIqE5h/Gi/Mp6GJ9SJxasjj8K5OBJ1kpWGdQeBlzcv7/a+EFF+YuWPnpdf35nPw68r36/nFr5f23R8+yJecxLkmqlrshC2KZFuVmTaIImojdmISAGkTDPM0D4wQrl4unEJq3851vptgxsq/kLLxbFjaAJsU9jnFHUssX4zfh2JfhVxvyLDr+/m5z84g4xjmfWa9Ww2hVi/4btFYsxDfPzL8uv/2xGef2b5k/VGNeoN2N4FUsBWJpRKqizfcccd6O3tHaXcMAzDMAyz7ZP+zOqvw922PBG53YQ+CpGKlWC31sFb3Pv/VGY4Px/6pEArEBNO8GJ/W4EHIXLDu26FPYR42MH+kRG6kJBRGqJWGjL668LF78f92n+B/islhHGTDLSQyvwT0oSxAqMaaZA0fm04Ey9kzoUXQQBICQqCSBhl3UGg/yXcfn5IBlF+UmVK13dmXfn/pHc/9pwiIVb01/zna0HElE4ovn7zf5jFiyICkTJ2kJSxEWXuW7dSRkCqzD8/Lq99egtfX6hmBQw6aYHGjPXWbv9RHNv/gmvbw7bDrGeT1Nqo9/yytKfsT37+jZMex7Lv13k2NFgcg+F3FlnuLKlULb9+p7MjPP+s8mfVVa15w/bPVrV9j2EYhmEYZvNgvlK6+a+ITfOT02L7oTIW3vsTv+tPOBud+IvYn7jb18oy26+cXQqRcgubYT+yOskLG6/Luohr7tRMD5HGTNb9QRAC2WlkxOenITLyoKua4mGRUWxfG8j3S375Ea/jVH48w982DVeO9PNIuZ1XkZ0GvIrxs+u8RuH86GNl9dsluadr/JqwMWFYoqZqld+P223z8x/kEPG3kWa+N8zWRbLfBIb2rOoJr/j5N4xve6yuTcTBBIT2b4P1HXt8g4SJqZXu4M9zSK8I1xuwlQmlfLVm/xrDMAzDMMwmYefhGWvp1KXk4txpr/jurPhqzFlk/F7cxpP/JRuI25Hw0nBuisJ6+VSIC1mSX87jxfC2yfneXLyJ9Pz8JPHzoyiZbLoc9odLLyO+rDRiefDiEJ6fpAaSn7e68SGdn4w6zqTG86hZDuOXEu7oOThjTZl16EpC8ft+s4k1BE+46ubUKqves8uvKDLGHqvKpFypUXhev22R1QcN5jfpZjadrHFnKPXNz4PZytmqhFJEhNNPPx3FYhEAMDAwgLPPPhutra0xf7fddttoZI9hGIZhmG0aXzMlccn/kRQoDKZBEruQXiUQCSfrSRlPT6Udj5issIAS91JCD+93SphCKS9xzZt65WtQ6pCyTVTHjQauN0qWdlKWEDGZz1oCp4w6aojh+M206ZT40UgdpuLP/k1K1faTmV6G5HU4+RkUXi1v3YzYg64BP/+GiX952JRIGGarYqsSSp122mmx3x/5yEdGKScMwzAMw2yvCKs+UlNLZ7iflWuFIcAIprR9IBG/5/2JyUqsfzJ5rpM3kaXlUyNnDZVsk+tiC1Fja17m/VrhRplh1+5QH+owyiw8Fa34dsFtpH0wm8ZQ2tiQOxlmkxjus2GYrZCtSij1wx/+cLSzwDAMwzDMjkDWJN0Jdax2yKbM5P3teo2HUiptckf42amZN5HpHDaxumB2PPy9gRm3R/RdYRiGYXZktqrT90aTa6+9FrNmzUJTUxPmzp2Lxx57rK7/X/7yl9hrr73Q1NSE/fbbD3fccccWyinDMAzDMMPH2wpnt09lbpEbqUU2pY95ttas3T/lrgko777ZbhXb4tVA3lLlI3PqGtJuSrr9ay5RZofDCJv8thRrN9gM7wrDMAyzI8JCKQC33norFi9ejEsuuQRPPvkkDjjgACxYsACrV6/O9P/www/jQx/6EM4880w89dRTWLhwIRYuXIhnn312C+ecYRiGYRgANWQnvp2lpCNpHMf/Xcvm1HCw+5687U7OllCWUAjRPVh3Ir4aycShjPuUdmf5bSQ9Js22Ir8bNJ/+/lHvd6Y9mxrvSqZ7W6kghmEYZksiiLaiTfWjxNy5c/H2t78d11xzDQBAKYUZM2bg/PPPx+c+97mU/w9+8IPo7e3F73//e3ftHe94Bw488EDccMMNDaXZ3d2Njo4OvBvvR07kR6YgDMMwDLOjMhSFjWH7bSCgO+EM3pFog4QbahrM1sm28uhS+axzlB5Bt2l36p7wNP4QD+fHa8M59w6/3GAYhtnhqFIF9+M36OrqQnt7e01/W5VNqdGgXC7jiSeewOc//3l3TUqJefPm4ZFHHskM88gjj2Dx4sWxawsWLMDtt99eM51SqYRSqeR+d3V1AQCqqPCHI4ZhGIbZZCiyf9TIcfU1lEHiHkTifrbUwV21R+wBcObM625xajwNZmtmG3yOsfafeAlS+ReRkCmmyZd8eZLvoO9OCrIYhmGY7Z0qKgCAwfSgdnih1Nq1axGGISZPnhy7PnnyZDz//POZYVauXJnpf+XKlTXTufLKK3HppZemrj8ItkXFMAzDMCPKUBa/g/ndlLgaDcuL9e2DbfE5NpJnSvwdqXgZhmGYHYKNGzeio6Oj5v0dXii1pfj85z8f067q7OzELrvsghUrVtR9QAzDjD7d3d2YMWMGXn311bqqpwzDjD78vjLMtgO/rwyzbcDvKjMciAgbN27EtGnT6vrb4YVSEyZMQBAEWLVqVez6qlWrMGXKlMwwU6ZMGZJ/ACgWiygWi6nrHR0d/GIzzDZCe3s7v68Ms43A7yvDbDvw+8ow2wb8rjJDpREFnB3+9L1CoYCDDjoI9957r7umlMK9996LQw89NDPMoYceGvMPAPfcc09N/wzDMAzDMAzDMAzDMEycHV5TCgAWL16M0047DQcffDAOOeQQfOtb30Jvby/OOOMMAMCpp56K6dOn48orrwQAfOpTn8KRRx6Jq6++Gv/yL/+Cn//853j88cfxve99bzSLwTAMwzAMwzAMwzAMs83AQikAH/zgB7FmzRpcfPHFWLlyJQ488EDcddddzpj5ihUrIGWkVHbYYYfhlltuwUUXXYQvfOEL2GOPPXD77bdjzpw5DadZLBZxySWXZG7pYxhm64LfV4bZduD3lWG2Hfh9ZZhtA35Xmc2JoMHO52MYhmEYhmEYhmEYhmGYEWaHtynFMAzDMAzDMAzDMAzDbHlYKMUwDMMwDMMwDMMwDMNscVgoxTAMwzAMwzAMwzAMw2xxWCjFMAzDMAzDMAzDMAzDbHFYKDUKXHvttZg1axaampowd+5cPPbYY6OdJYZhEnzpS1+CECL2b6+99hrtbDEMA+BPf/oTTjjhBEybNg1CCNx+++2x+0SEiy++GFOnTkVzczPmzZuHpUuXjk5mGWYHZ7D39fTTT0+Nt8cee+zoZJZhdnCuvPJKvP3tb0dbWxsmTZqEhQsX4oUXXoj5GRgYwLnnnouddtoJY8aMwYknnohVq1aNUo6Z7QEWSm1hbr31VixevBiXXHIJnnzySRxwwAFYsGABVq9ePdpZYxgmwb777os333zT/XvwwQdHO0sMwwDo7e3FAQccgGuvvTbz/te+9jV8+9vfxg033IBHH30Ura2tWLBgAQYGBrZwThmGGex9BYBjjz02Nt7+7Gc/24I5ZBjG8sADD+Dcc8/F//3f/+Gee+5BpVLB/Pnz0dvb6/z853/+J373u9/hl7/8JR544AG88cYb+Nd//ddRzDWzrSOIiEY7EzsSc+fOxdvf/nZcc801AAClFGbMmIHzzz8fn/vc50Y5dwzDWL70pS/h9ttvx9NPPz3aWWEYpg5CCPz617/GwoULAWgtqWnTpuHTn/40PvOZzwAAurq6MHnyZPzoRz/CKaecMoq5ZZgdm+T7CmhNqc7OzpQGFcMwo8+aNWswadIkPPDAA3jXu96Frq4uTJw4EbfccgsWLVoEAHj++eex995745FHHsE73vGOUc4xsy3CmlJbkHK5jCeeeALz5s1z16SUmDdvHh555JFRzBnDMFksXboU06ZNw6677ooPf/jDWLFixWhniWGYQVi+fDlWrlwZG2s7Ojowd+5cHmsZZivl/vvvx6RJk7DnnnvinHPOwbp160Y7SwzDQH/UAYDx48cDAJ544glUKpXYGLvXXnth5syZPMYyw4aFUluQtWvXIgxDTJ48OXZ98uTJWLly5SjlimGYLObOnYsf/ehHuOuuu3D99ddj+fLleOc734mNGzeOdtYYhqmDHU95rGWYbYNjjz0WN998M+6991589atfxQMPPIDjjjsOYRiOdtYYZodGKYULLrgAhx9+OObMmQNAj7GFQgFjx46N+eUxltkUcqOdAYZhmK2R4447zrn3339/zJ07F7vssgt+8Ytf4MwzzxzFnDEMwzDM9oO/pXa//fbD/vvvj9122w33338/jj766FHMGcPs2Jx77rl49tln2aYqs9lhTaktyIQJExAEQep0glWrVmHKlCmjlCuGYRph7NixeMtb3oJ//vOfo50VhmHqYMdTHmsZZttk1113xYQJE3i8ZZhR5LzzzsPvf/97LFmyBDvvvLO7PmXKFJTLZXR2dsb88xjLbAoslNqCFAoFHHTQQbj33nvdNaUU7r33Xhx66KGjmDOGYQajp6cHy5Ytw9SpU0c7KwzD1GH27NmYMmVKbKzt7u7Go48+ymMtw2wDvPbaa1i3bh2PtwwzChARzjvvPPz617/Gfffdh9mzZ8fuH3TQQcjn87Ex9oUXXsCKFSt4jGWGDW/f28IsXrwYp512Gg4++GAccsgh+Na3voXe3l6cccYZo501hmE8PvOZz+CEE07ALrvsgjfeeAOXXHIJgiDAhz70odHOGsPs8PT09MS0KJYvX46nn34a48ePx8yZM3HBBRfgy1/+MvbYYw/Mnj0b/+///T9MmzYtduIXwzBbhnrv6/jx43HppZfixBNPxJQpU7Bs2TJceOGF2H333bFgwYJRzDXD7Jice+65uOWWW/Cb3/wGbW1tzk5UR0cHmpub0dHRgTPPPBOLFy/G+PHj0d7ejvPPPx+HHnoon7zHDBtBRDTamdjRuOaaa3DVVVdh5cqVOPDAA/Htb38bc+fOHe1sMQzjccopp+BPf/oT1q1bh4kTJ+KII47Af//3f2O33XYb7awxzA7P/fffj/e85z2p66eddhp+9KMfgYhwySWX4Hvf+x46OztxxBFH4LrrrsNb3vKWUcgtw+zY1Htfr7/+eixcuBBPPfUUOjs7MW3aNMyfPx+XX3556rAChmE2P0KIzOs//OEPcfrppwMABgYG8OlPfxo/+9nPUCqVsGDBAlx33XW8fY8ZNiyUYhiGYRiGYRiGYRiGYbY4bFOKYRiGYRiGYRiGYRiG2eKwUIphGIZhGIZhGIZhGIbZ4rBQimEYhmEYhmEYhmEYhtnisFCKYRiGYRiGYRiGYRiG2eKwUIphGIZhGIZhGIZhGIbZ4rBQimEYhmEYhmEYhmEYhtnisFCKYRiGYRiGYRiGYRiG2eKwUIphGIZhGIZhGIZhGIbZ4rBQimEYhmEYZivl9NNPx8KFC0ct/Y9+9KO44oorGvJ7yimn4Oqrr97MOWIYhmEYZntCEBGNdiYYhmEYhmF2NIQQde9fcskl+M///E8QEcaOHbtlMuXx17/+FUcddRReeeUVjBkzZlD/zz77LN71rndh+fLl6Ojo2AI5ZBiGYRhmW4eFUgzDMAzDMKPAypUrnfvWW2/FxRdfjBdeeMFdGzNmTEPCoM3Fxz72MeRyOdxwww0Nh3n729+O008/Heeee+5mzBnDMAzDMNsLvH2PYRiGYRhmFJgyZYr719HRASFE7NqYMWNS2/fe/e534/zzz8cFF1yAcePGYfLkyfj+97+P3t5enHHGGWhra8Puu++OO++8M5bWs88+i+OOOw5jxozB5MmT8dGPfhRr166tmbcwDPGrX/0KJ5xwQuz6ddddhz322ANNTU2YPHkyFi1aFLt/wgkn4Oc///mmVw7DMAzDMDsELJRiGIZhGIbZhrjpppswYcIEPPbYYzj//PNxzjnn4KSTTsJhhx2GJ598EvPnz8dHP/pR9PX1AQA6Oztx1FFH4a1vfSsef/xx3HXXXVi1ahVOPvnkmmk888wz6OrqwsEHH+yuPf744/jkJz+Jyy67DC+88ALuuusuvOtd74qFO+SQQ/DYY4+hVCptnsIzDMMwDLNdwUIphmEYhmGYbYgDDjgAF110EfbYYw98/vOfR1NTEyZMmICzzjoLe+yxBy6++GKsW7cOzzzzDADgmmuuwVvf+lZcccUV2GuvvfDWt74VN954I5YsWYIXX3wxM41XXnkFQRBg0qRJ7tqKFSvQ2tqK9773vdhll13w1re+FZ/85Cdj4aZNm4ZyuRzbmsgwDMMwDFMLFkoxDMMwDMNsQ+y///7OHQQBdtppJ+y3337u2uTJkwEAq1evBqANli9ZssTZqBozZgz22msvAMCyZcsy0+jv70exWIwZYz/mmGOwyy67YNddd8VHP/pR/PSnP3XaWJbm5mYASF1nGIZhGIbJgoVSDMMwDMMw2xD5fD72WwgRu2YFSUopAEBPTw9OOOEEPP3007F/S5cuTW2/s0yYMAF9fX0ol8vuWltbG5588kn87Gc/w9SpU3HxxRfjgAMOQGdnp/Ozfv16AMDEiRNHpKwMwzAMw2zfsFCKYRiGYRhmO+Ztb3sbnnvuOcyaNQu777577F9ra2tmmAMPPBAA8Pe//z12PZfLYd68efja176GZ555Bi+//DLuu+8+d//ZZ5/FzjvvjAkTJmy28jAMwzAMs/3AQimGYRiGYZjtmHPPPRfr16/Hhz70IfzlL3/BsmXLcPfdd+OMM85AGIaZYSZOnIi3ve1tePDBB9213//+9/j2t7+Np59+Gq+88gpuvvlmKKWw5557Oj9//vOfMX/+/M1eJoZhGIZhtg9YKMUwDMMwDLMdM23aNDz00EMIwxDz58/HfvvthwsuuABjx46FlLWngh/72Mfw05/+1P0eO3YsbrvtNhx11FHYe++9ccMNN+BnP/sZ9t13XwDAwMAAbr/9dpx11lmbvUwMwzAMw2wfCCKi0c4EwzAMwzAMs3XR39+PPffcE7feeisOPfTQQf1ff/31+PWvf40//OEPWyB3DMMwDMNsD7CmFMMwDMMwDJOiubkZN998M9auXduQ/3w+j+985zubOVcMwzAMw2xPsKYUwzAMwzAMwzAMwzAMs8VhTSmGYRiGYRiGYRiGYRhmi8NCKYZhGIZhGIZhGIZhGGaLw0IphmEYhmEYhmEYhmEYZovDQimGYRiGYRiGYRiGYRhmi8NCKYZhGIZhGIZhGIZhGGaLw0IphmEYhmEYhmEYhmEYZovDQimGYRiGYRiGYRiGYRhmi8NCKYZhGIZhGIZhGIZhGGaLw0IphmEYhmEYhmEYhmEYZovDQimGYRiGYRiGYRiGYRhmi8NCKYZhGIZhGIZhGIZhGGaLw0IphmEYhmEYhmEYhmEYZovDQimGYRiGYRiGYRiGYRhmi8NCKYZhGIZhGIZhGIZhGGaLw0IphmEYhmEYhmEYhmEYZovDQimGYRiGYbZrXn75ZQgh8KMf/chd+9KXvgQhxOhlaohsa/kdKtVqFRdeeCFmzJgBKSUWLlw42lliGIZhGGYLwEIphmEYhmG2aX70ox9BCJH573Of+1zD8VxxxRW4/fbbN19GNzP/8R//ASkl1q9fH7u+fv16SClRLBYxMDAQu/fSSy9BCIEvfOELWzKrKW688UZcddVVWLRoEW666Sb853/+56jmh2EYhmGYLUNutDPAMAzDMAwzElx22WWYPXt27NqcOXOwyy67oL+/H/l8vm74K664AosWLdpmtXSOOOIIXH/99XjooYdwwgknuOsPP/wwpJSoVCp4/PHHccQRR7h7Dz30kAs7mtx3332YPn06vvnNb45qPhiGYRiG2bKwUIphGIZhmO2C4447DgcffHDmvaampi2cG83AwAAKhQKk3PzK6Vaw9OCDD8aEUg899BD2339/9Pf348EHH4wJoB588EFIKXHYYYdt9vzVY/Xq1Rg7duyIxaeUQrlcHrXnzjAMwzBMY/D2PYZhGIZhtmuybEolEUKgt7cXN910k9v6d/rpp7v7r7/+Ov793/8dkydPRrFYxL777osbb7wxFsf9998PIQR+/vOf46KLLsL06dPR0tKC7u5uAMCjjz6KY489Fh0dHWhpacGRRx7pNJV8HnzwQbz97W9HU1MTdtttN3z3u99tqJwzZ87EjBkzUnE+9NBDOPzww3HYYYdl3tt3330xduxYlMtlXHzxxTjooIPQ0dGB1tZWvPOd78SSJUuc/0qlgvHjx+OMM85Ipd/d3Y2mpiZ85jOfcddKpRIuueQS7L777igWi5gxYwYuvPBClEolANGzWbJkCZ577jlX9/fffz8AoLe3F5/+9KcxY8YMFItF7Lnnnvj6178OIoqlLYTAeeedh5/+9KfYd999USwWcdddd7mtnQ8++CA++clPYuLEiRg7diw+8YlPoFwuo7OzE6eeeirGjRuHcePG4cILL0zFzTAMwzDM5oM1pRiGYRiG2S7o6urC2rVrY9cmTJjQUNgf//jH+NjHPoZDDjkEH//4xwEAu+22GwBg1apVeMc73uEEHxMnTsSdd96JM888E93d3bjgggticV1++eUoFAr4zGc+g1KphEKhgPvuuw/HHXccDjroIFxyySWQUuKHP/whjjrqKPz5z3/GIYccAgD429/+hvnz52PixIn40pe+hGq1iksuuQSTJ09uqBxHHHEEbrvtNpRKJRSLRZTLZfzlL3/BOeecg76+Pid0EUJgw4YN+Pvf/46zzz4bgBYq/eAHP8CHPvQhnHXWWdi4cSP+53/+BwsWLMBjjz2GAw88EPl8Hh/4wAdw22234bvf/S4KhYJL+/bbb0epVMIpp5wCQGsrve9978ODDz6Ij3/849h7773xt7/9Dd/85jfx4osv4vbbb8fEiRPx4x//GP/93/+Nnp4eXHnllQCAvffeG0SE973vfViyZAnOPPNMHHjggbj77rvx2c9+Fq+//npqq999992HX/ziFzjvvPMwYcIEzJo1C08//TQA4Pzzz8eUKVNw6aWX4v/+7//wve99D2PHjsXDDz+MmTNn4oorrsAdd9yBq666CnPmzMGpp57aUH0zDMMwDLOJEMMwDMMwzDbMD3/4QwKQ+Y+IaPny5QSAfvjDH7owl1xyCSWnQa2trXTaaael4j/zzDNp6tSptHbt2tj1U045hTo6Oqivr4+IiJYsWUIAaNddd3XXiIiUUrTHHnvQggULSCnlrvf19dHs2bPpmGOOcdcWLlxITU1N9Morr7hrf//73ykIglR+s7j22msJAP35z38mIqJHHnmEANArr7xCf//73wkAPffcc0RE9Pvf/54A0E9/+lMiIqpWq1QqlWLxbdiwgSZPnkz//u//7q7dfffdBIB+97vfxfwef/zxtOuuu7rfP/7xj0lK6fJiueGGGwgAPfTQQ+7akUceSfvuu2/M3+23304A6Mtf/nLs+qJFi0gIQf/85z/dNQAkpXRls9i2kaz7Qw89lIQQdPbZZ7tr1WqVdt55ZzryyCOJYRiGYZgtA2/fYxiGYRhmu+Daa6/FPffcE/u3qRAR/vd//xcnnHACiAhr1651/xYsWICuri48+eSTsTCnnXYampub3e+nn34aS5cuxb/9279h3bp1Lnxvby+OPvpo/OlPf4JSCmEY4u6778bChQsxc+ZMF37vvffGggULGsqvb1cK0Nvzpk+fjpkzZ2KvvfbC+PHj3Ra+pJHzIAic5pNSCuvXr0e1WsXBBx8cK+NRRx2FCRMm4NZbb3XXNmzYgHvuuQcf/OAH3bVf/vKX2HvvvbHXXnvF6u2oo44CgNi2wCzuuOMOBEGAT37yk7Hrn/70p0FEuPPOO2PXjzzySOyzzz6ZcZ155pkQQrjfc+fOBRHhzDPPdNeCIMDBBx+Ml156qW6+GIZhGIYZOUZ8+55VF2cYhmEYhtmSHHLIITUNnQ+XNWvWoLOzE9/73vfwve99L9PP6tWrY7+TJwAuXboUgBZW1aKrqwulUgn9/f3YY489Uvf33HNP3HHHHYPmd86cORg7dmxM8HT44YcD0HaXDj30UDz00EM466yz8NBDD2HGjBkxAdhNN92Eq6++Gs8//zwqlUpmmXK5HE488UTccsstbt532223oVKpxIRSS5cuxT/+8Q9MnDgxM6/JekvyyiuvYNq0aWhra4td33vvvd19n2S9+/hlBICOjg4AwIwZM1LXN2zYUDdfDMMwDMOMHJsslLrzzjvx85//HH/+85/x6quvQimF1tZWvPWtb8X8+fNxxhlnYNq0aSORV4ZhGIZhmC2KUgoA8JGPfKSmUGn//feP/fa1pPw4rrrqKhx44IGZcYwZM8YZ/94UpJQ49NBD8fDDD4OI8NBDD+ELX/iCu3/YYYfhxhtvdLamFi5c6O795Cc/wemnn46FCxfis5/9LCZNmoQgCHDllVdi2bJlsXROOeUUfPe738Wdd96JhQsX4he/+AX22msvHHDAAbFy77fffvjGN76RmdekQGhTSda7TxAEDV8nNnTOMAzDMFuMYQulfv3rX+O//uu/sHHjRhx//PH4r//6L0ybNg3Nzc1Yv349nn32Wfzxj3/E5ZdfjtNPPx2XX355zS9lDMMwDMMwo42/vcsyceJEtLW1IQxDzJs3b1jxWoPp7e3tdeOYOHEimpubnWaVzwsvvNBwekcccQTuvPNO/Pa3v8Xq1audphSghVJf/OIXcccdd6C/v99t3QOAX/3qV9h1111x2223xerikksuSaXxrne9C1OnTsWtt96KI444Avfddx+++MUvpsr917/+FUcffXRm3Q7GLrvsgj/+8Y/YuHFjTFvq+eefd/cZhmEYhtm2GbZNqa997Wv45je/iddffx3/8z//g0984hM44YQTMG/ePJx88sm47LLLsGTJEixbtgxjx47FT37yk5HMN8MwDMMwzIjS2tqKzs7O2LUgCHDiiSfif//3f/Hss8+mwqxZs2bQeA866CDstttu+PrXv46enp6acQRBgAULFuD222/HihUr3P1//OMfuPvuuxsuhxU0ffWrX0VLS0tMO+uQQw5BLpfD1772tZhfmz4Q1xR69NFH8cgjj6TSkFJi0aJF+N3vfocf//jHqFarsa17AHDyySfj9ddfx/e///1U+P7+fvT29tYtx/HHH48wDHHNNdfErn/zm9+EEALHHXdc3fAMwzAMw2z9DFtTKmuCksX06dPxla98ZbjJMAzDMAzDbBEOOugg/PGPf8Q3vvENTJs2DbNnz8bcuXPxla98BUuWLMHcuXNx1llnYZ999sH69evx5JNP4o9//CPWr19fN14pJX7wgx/guOOOw7777oszzjgD06dPx+uvv44lS5agvb0dv/vd7wAAl156Ke666y68853vxH/8x3+gWq3iO9/5Dvbdd18888wzDZXjkEMOQaFQwCOPPIJ3v/vdyOWi6V5LSwsOOOAAPPLIIxg7dizmzJnj7r33ve/Fbbfdhg984AP4l3/5Fyxfvhw33HAD9tlnn0xh2gc/+EF85zvfwSWXXIL99tvP2XqyfPSjH8UvfvELnH322ViyZAkOP/xwhGGI559/Hr/4xS9w991317UBdsIJJ+A973kPvvjFL+Lll1/GAQccgD/84Q/4zW9+gwsuuMBpoDEMwzAMs+0y4obOGYZhGIZhtkW+8Y1v4OMf/zguuugi9Pf347TTTsPcuXMxefJkPPbYY7jssstw22234brrrsNOO+2EfffdF1/96lcbivvd7343HnnkEVx++eW45ppr0NPTgylTpmDu3Ln4xCc+4fztv//+uPvuu7F48WJcfPHF2HnnnXHppZfizTffbFgo1dTUhIMOOgiPPPIIDjvssNT9ww8/HE888QQOPfRQSBkpzZ9++ulYuXIlvvvd7+Luu+/GPvvsg5/85Cf45S9/ifvvvz8Vz2GHHYYZM2bg1VdfTWlJAVoYd/vtt+Ob3/wmbr75Zvz6179GS0sLdt11V3zqU5/CW97ylrrlkFLit7/9LS6++GLceuut+OEPf4hZs2bhqquuwqc//emG6oJhGIZhmK0bQZtozfHNN9/Evffei/Hjx2PevHnuKGEA6O3txdVXX42LL754kzPKMAzDMAzDMAzDMAzDbD9sklDqL3/5C+bPnw+lFCqVCqZPn47bb78d++67LwBg1apVmDZtGsIwHLEMMwzDMAzDMAzDMAzDMNs+wzZ0DgBf+MIX8IEPfAAbNmzAqlWrcMwxx+DII4/EU089NVL5YxiGYRiGYRiGYRiGYbZDNsmm1BNPPIFrr70WUkq0tbXhuuuuw8yZM3H00Ufj7rvvxsyZM0cqnwzDMAzDMAzDMAzDMMx2xCYbOh8YGIj9/tznPodcLof58+fjxhtv3NToGYZhGIZhGIZhGIZhmO2QTRJKzZkzBw8//DD233//2PXPfOYzUErhQx/60CZljmEYhmEYhmEYhmEYhtk+2SSbUqeeeioeeuihzHsXXnghLr30Ut7CxzAMwzAMwzAMwzAMw6TYpNP3mOGjlMIbb7yBtrY2CCFGOzsMwzAMwzAMwzAMwzAjAhFh48aNmDZtGqSsrQ+1yTalmOHxxhtvYMaMGaOdDYZhGIZhGIZhGIZhmM3Cq6++ip133rnm/RERSj388MM47LDDRiKqHYa2tjYA+gG1t7ePcm6GR6VSwR/+8AfMnz8f+Xx+tLPDMNsN/G4xzMjD7xXDbB743WKYkYffK2Z7oLu7GzNmzHCyj1psslDqjjvuwBlnnIFVq1ZtalQ7FHbLXnt7+zYtlGppaUF7ezt3lgwzgvC7xTAjD79XDLN54HeLYUYefq+Y7YnBzBVtkqHzn/zkJzjllFPw05/+dFOiYRiGYRiGYRiGYRiGYXYwhi2U+ta3voWPfexj+MlPfoJ58+aNZJ4YhmEYhmGY7Yy+chX/7/Zn8X8vrRvtrDAMwzAMs5UwbKHU4sWL8fWvfx3ve9/7RjI/w+Laa6/FrFmz0NTUhLlz5+Kxxx6r6/+Xv/wl9tprLzQ1NWG//fbDHXfcEbtPRLj44osxdepUNDc3Y968eVi6dGlmXKVSCQceeCCEEHj66adHqkgMwzAMwzDbFbc8ugI//r9XcMr3/m+0s8IwDMMwzFbCsIVShx9+OK677jqsWze6X7tuvfVWLF68GJdccgmefPJJHHDAAViwYAFWr16d6f/hhx/Ghz70IZx55pl46qmnsHDhQixcuBDPPvus8/O1r30N3/72t3HDDTfg0UcfRWtrKxYsWICBgYFUfBdeeCGmTZu22crHMAzDMAyzPfDcG93OPVAJRzEnDMMwDMNsLQxbKHXPPfdg9uzZOOaYY9Dd3T14gM3EN77xDZx11lk444wzsM8+++CGG25AS0sLbrzxxkz//9//9//h2GOPxWc/+1nsvffeuPzyy/G2t70N11xzDQCtJfWtb30LF110Ed7//vdj//33x80334w33ngDt99+eyyuO++8E3/4wx/w9a9/fXMXk2EYhmEYZrthVXf6Qx/DMAzDMDsewxZKNTU14be//S322WcfHHvssSOZp4Ypl8t44oknYjatpJSYN28eHnnkkcwwjzzySMoG1oIFC5z/5cuXY+XKlTE/HR0dmDt3bizOVatW4ayzzsKPf/xjtLS0jGSxGIZhGIZhtju6+ivO3d1fHcWcMAzDMAyztZDblMBBEOAnP/kJLrjgghHKztBYu3YtwjDE5MmTY9cnT56M559/PjPMypUrM/2vXLnS3bfXavkhIpx++uk4++yzcfDBB+Pll18eNK+lUgmlUsn9ttpllUoFlUqlVrCtGpvvbTX/DLO1wu8Ww4w8/F6NPl19Zc89gEqFP+ptD/C7xTAjD79XzPZAo+13k4RSlm9961sjEc02w3e+8x1s3LgRn//85xsOc+WVV+LSSy9NXf/DH/6wzWta3XPPPaOdBYbZLuF3i2FGHn6vRo/X1wQABADggYcfxbp/0OhmiBlR+N1imJGH3ytmW6avr68hfyMilBotJkyYgCAIsGrVqtj1VatWYcqUKZlhpkyZUte//btq1SpMnTo15ufAAw8EANx333145JFHUCwWY/EcfPDB+PCHP4ybbrople7nP/95LF682P3u7u7GjBkzMH/+fLS3tzdY4q2LSqWCe+65B8cccwzy+fxoZ4dhthv43WKYkYffq9Hnv599AIDWGt97vwNx/P5T6wdgtgn43WKYkYffK2Z7oFHb4yMilLrrrrswZswYHHHEEQCAa6+9Ft///vexzz774Nprr8W4ceNGIpkUhUIBBx10EO69914sXLgQAKCUwr333ovzzjsvM8yhhx6Ke++9N7bl8J577sGhhx4KAJg9ezamTJmCe++91wmhuru78eijj+Kcc84BAHz729/Gl7/8ZRf+jTfewIIFC3Drrbdi7ty5mekWi8WUEAsA8vn8Nt/RbA9lYJitEX63GGbk4fdq9OgeiNT4B6rg57Cdwe8Ww4w8/F4x2zKNtt1hGzr3+exnP+ukYH/729/w6U9/GscffzyWL18e0w7aHCxevBjf//73cdNNN+Ef//gHzjnnHPT29uKMM84AAJx66qmxbXaf+tSncNddd+Hqq6/G888/jy996Ut4/PHHnRBLCIELLrgAX/7yl/Hb3/4Wf/vb33Dqqadi2rRpTvA1c+ZMzJkzx/17y1veAgDYbbfdsPPOO2/W8jIMwzAMw2xrhIowUFHud2+JDZ0zDMMwDDNCmlLLly/HPvvsAwD43//9X7z3ve/FFVdcgSeffBLHH3/8SCRRkw9+8INYs2YNLr74YqxcuRIHHngg7rrrLmeofMWKFZAykr0ddthhuOWWW3DRRRfhC1/4AvbYYw/cfvvtmDNnjvNz4YUXore3Fx//+MfR2dmJI444AnfddReampo2a1kYhmEYhmG2R0rVMPa7t8xCKYZhGIZhRkgoVSgUnBGrP/7xjzj11FMBAOPHj294H+GmcN5559Xcrnf//fenrp100kk46aSTasYnhMBll12Gyy67rKH0Z82aBSI21skwDMMwDJNFydOSAlhTimEYhmEYzYgIpY444ggsXrwYhx9+OB577DHceuutAIAXX3yRt7MxDMMwDMPs4AykNKXCGj4ZhmEYhtmRGBGbUtdccw1yuRx+9atf4frrr8f06dMBAHfeeSeOPfbYkUiCYRiGYRiG2UZJakqVq6qGT4ZhGIZhdiQ2SVPqvvvuw5FHHomZM2fi97//fer+N7/5zU2JnmEYhmEYhtkOKCWEUMnfDMMwDMPsmGySptTHPvYxTJw4Ef/2b/+GX/ziF9i4ceNI5YthGIZhGIbZThioxLfrlSq8fY9hGIZhmE0USr300ku4//77sc8+++DrX/86Jk2ahGOOOQbf+c53sGLFipHKI8MwDMMwDLMNk9SMKoesKcUwDMMwzAjYlNp///1x0UUX4bHHHsOyZctw4okn4s4778See+6JAw88EBdffDEef/zxkcgrwzAMwzAMsw1SqiY1pVgoxTAMwzDMCBk6t0ybNg1nn3027rjjDqxduxYXXXQRXn75ZRx77LG44oorRjIphmEYhmEYZhshZeicNaUYhmEYhsEmGjqvR2trKxYtWoRFixYhDEOsX79+cyXFMAzDMAzDbMUMJDWlqmxTimEYhmGYERRK/eUvf8GSJUuwevVqKBV9/RJC4Oqrr8bEiRNHKimGYRiGYRhmG8JqShUCiXKoUObT9xiGYRiGwQgJpa644gpcdNFF2HPPPTF58mQIIdw9380wDMMwDMPseFhD521NOazr/f/bu+/wqOqsgePfaZn03kOAJARC7x1RkSbIil3XXnddsburu6+KbW2rrmtbe10RRREVkSJVeu8QIAnpvfdMZub94869mUkHhur5PA8PyeTOvXfKbeeec34NLRqfCyGEEOL3yS1Bqf/85z98/PHH3HLLLe6YnRBCCCGEOIfUWZRyPX8vE8XVDZIpJYQQQgjATY3O9Xo9Y8eOdceshBBCCCHEOUbNjPL3NLr8LoQQQojfN7cEpR588EHefvttd8xKCCGEEEKcY9TG5v5eJgDJlBJCCCEE4KbyvUceeYTp06eTkJBAnz59MJlMLn+fP3++OxYjhBBCCCHOQnWWpp5SIKPvCSGEEELhlqDUfffdx8qVK7nwwgsJCQmR5uZCCCGEEEKjZUp5KjcuLVY7NpsdvV7OGYUQQojfM7cEpT777DO+++47pk+f7o7ZCSGEEEKIc4jWU8qrKZu+wWrDU284XaskhBBCiDOAW3pKBQcHk5CQ4I5ZCSGEEEKIc4w2+p5n0/3Qeov0lRJCCCF+79wSlHrqqaeYPXs2NTU17pidEEIIIYQ4h6iZUr5mp6CUVfpKCSGEEL93binfe+ONN0hJSSEiIoLu3bu3aHS+fft2dyxGCCGEEEKchdSsKE+TAbNRT32jTTKlhBBCCOGeTKmZM2fy8MMP88gjj3DllVdy6aWXuvw72d5++226d++Op6cnI0eOZPPmze1OP2/ePJKSkvD09KR///4sWrTI5e92u50nn3ySqKgovLy8mDhxIocPH9b+fvToUW6//Xbi4uLw8vIiISGB2bNn09DQcFJenxBCCCHEmeaLDUd5e+UR7HZ7h9Oqjc7NJj1mo3L62WCVoJQQQgjxe+eWTKnZs2e7YzbH5euvv+ahhx7i3XffZeTIkbz++utMmTKF5ORkwsPDW0y/fv16rrvuOl544QUuueQS5syZw8yZM9m+fTv9+vUD4OWXX+aNN97gs88+Iy4ujieeeIIpU6awf/9+PD09OXjwIDabjffee48ePXqwd+9e7rzzTqqrq3nllVdO9VsghBBCCHFKpRdX88QP+wAY3DWQMQmh7U6vZkWZjQY8jAagUTKlhBBCCHH8mVKduSt2Krz22mvceeed3HrrrfTp04d3330Xb29vPv7441an/89//sPUqVP561//Su/evXn22WcZMmQIb731FqC8rtdff53HH3+cSy+9lAEDBvD555+Tk5PDggULAJg6dSqffPIJkydPJj4+nj/84Q888sgjzJ8//1S9bCGEEEKI0+ZAboX28+6s8g6n1zKljJIpJYQQQogmxx2U6tu3L3Pnzu2wZO3w4cPcfffdvPjii8e7qDY1NDSwbds2Jk6cqD2m1+uZOHEiGzZsaPU5GzZscJkeYMqUKdr0aWlp5OXluUwTEBDAyJEj25wnQHl5OcHBwSfycoQQQgghzgpHi5sGt8krr+twerXRudpTCqDeIo3OhRBCiN+74y7fe/PNN3n00Uf5y1/+wqRJkxg2bBjR0dF4enpSWlrK/v37Wbt2Lfv27WPWrFncfffd7lxvAIqKirBarURERLg8HhERwcGDB1t9Tl5eXqvT5+XlaX9XH2trmuaOHDnCm2++2W7pXn19PfX19drvFRXKHUaLxYLFYmnzeWcydb3P1vUX4kwl25YQ7ifblXulFVZqPxdW1HX4vtY2KAEoAzaMep3jsbP3HEg0kW1LCPeT7UqcCzr7/T3uoNRFF13E1q1bWbt2LV9//TVffvkl6enp1NbWEhoayuDBg7npppu4/vrrCQoKOt7FnPGys7OZOnUqV111FXfeeWeb073wwgs8/fTTLR5funQp3t7eJ3MVT7ply5ad7lUQ4pwk25YQ7ifblXvsS9GjJtwfyshh0aKsdqcvrzIAOrZu2kBttfLz+o2bKU8+M9pBiBMn25YQ7ifblTib1dTUdDwRbmh0Pm7cOMaNG3eiszkuoaGhGAwG8vPzXR7Pz88nMjKy1edERka2O736f35+PlFRUS7TDBo0yOV5OTk5XHjhhYwZM4b333+/3XX9+9//zkMPPaT9XlFRQWxsLJMnT8bf37/9F3qGslgsLFu2jEmTJmEymU736ghxzpBtSwj3k+3KvT7N2gSlSi8pu9mPadPGtjv9U7tWQoOFCReMZ0X5fjKryxgwaAhT+ka0+zxx5pNtSwj3k+1KnAvU6rCOuGX0vdPFw8ODoUOHsnz5cmbOnAmAzWZj+fLlzJo1q9XnjB49muXLl/PAAw9ojy1btozRo0cDEBcXR2RkJMuXL9eCUBUVFWzatMmlBDE7O5sLL7yQoUOH8sknn6DXt9+ey2w2YzabWzxuMpnO+h3NufAaxNnvlz25VDdYuXJol9O9Km4j25YQ7ifblXuU1TZqP5fUWDp8T9WeUr6eZsxGAwBWdPJZnENk2xLC/WS7Emezzn53z+qgFMBDDz3EzTffzLBhwxgxYgSvv/461dXV3HrrrQDcdNNNxMTE8MILLwBw//33c/755/Pqq68yffp05s6dy9atW7VMJ51OxwMPPMBzzz1HYmIicXFxPPHEE0RHR2uBr+zsbC644AK6devGK6+8QmFhobY+bWVoCSFOnrSiau7+cjsA/WL8SYo8O7MPhRDibFFS3TTQTWWdBbvdjk6na3N6NShlNukxORqdW6xSuieEEEL83p31QalrrrmGwsJCnnzySfLy8hg0aBCLFy/WGpVnZGS4ZDGNGTOGOXPm8Pjjj/OPf/yDxMREFixYQL9+/bRp/va3v1FdXc1dd91FWVkZ48aNY/HixXh6egJKZtWRI0c4cuQIXbq4ZmXY7XKCJcSptj29VPt5Z0aZBKWEEOIkarTaKK9tal5qsdqpb7ThaTK0Ob3VppwfmY16PAzKeVmDI1AlhBBCiN+vsz4oBTBr1qw2y/VWrVrV4rGrrrqKq666qs356XQ6nnnmGZ555plW/37LLbdwyy23HM+qCiFOgtzyWu1n52HKhRBCuF9ZbcvRdKrqG9sMStU5BZ88TQbMRjUoZT3udWi02liwM4dBsQH0CPc77vkIIYQQ4vRqvxGSEEKcBQor67Wfi6vq25lSCCHEiSp1lO4FepvwNSv3N6vqGtucvt7SFHzyMOgxGZQyvxMp33t12SEembeL6z/cRKNVMq6EEEKIs5XbMqVsNhtHjhyhoKAAm8315GD8+PHuWowQQrRQ6BSIKnbqcyKEEML91H5Swd4eVDc0UlWv/GuL2k/Kw6BHr9fhoWZKnUAwaem+PADyK+o5kFtJ/y4Bxz0vIYQQQpw+bglKbdy4kT/+8Y+kp6e36Kmk0+mwWo8/PVsIITpSUCGZUkIIcaqU1ijlewHeJnQ6yKeeyvYypZyanANaUKr+OHtKlddaSCms1n7fml4iQSkhhBDiLOWWoNSf//xnhg0bxs8//0xUVFS7o68IIYS7OY8CJZlSQghxcpXXOsr3vEw4+pdT3U6mVJ2jfM9sVHpOmQzq6HvHF5Q6WlTt8ntas9+FEEIIcfZwS1Dq8OHDfPvtt/To0cMdsxNCiGNS6XQxVFwlQSkhhABlRODtGaV4exjpHeW+UUnVkfcCvT20vlCV9S2bn6u0TCmja6ZUZ0ff++1wIdGBXiSE+QKQVVrr8vd0GeBCCCGEOGu5pdH5yJEjOXLkiDtmJYQQx8y5wW6txSpNb4UQAvjP8sNc8d8NXPyf3/h6S4bb5lumlu95mfDyULKfahva3u+qjc49HeV7ZkPng1KrDxVy40ebufK/67VsrKxSJQgV7mcGIKNEglJCCCHE2cotmVL33nsvDz/8MHl5efTv3x+TyeTy9wEDBrhjMUII0UKj1UatxbVvXXW9lQBvGVxUCPH7VVFn4b3Vqdrvzy08wIyB0Xh7nPipn5opFeBl0sqnm++HndWpjc4d5XtqplRnyvc2pBQDSh+rbemljO8ZpmVKDY8L5ufdueSV12G326V9hBBCCHEWcktQ6oorrgDgtttu0x7T6XTaCYI0OhdCnCzV9U37F70ObHaljCTA29TOs4QQ4ty2/kgRtRYrcaE+2Ox20otrWLovn5mDY0543s5BKS+TEmiqayco1TxTynQMmVJqVhTAkYIqxvcMI7tMCUoN6RrEz7tzqbVYqapvxM9T9vtCCCHE2cYtQam0tDR3zEYIIY6Z2sfEbNTj52mkqKqh3VGgxJnNbrfzxcZ0vEwGrhoWe7pXR4iz1o6MMgBGxYcQ4GXi3dUprE8pcmtQKtDbuXyv40wpz2aZUvWdyJRy7h91uKDK8ZgSqEoM98XXbKSqvpGCyvpOB6UW7s7h/77fyy1juvPgpJ6deo4QQgghTg63BKW6devmjtkIIcQxq3L0GPHzNOJrVoJSVe2MAnUq2e121h0pJj7Mh+hAr9O9OmeFhbtzefKHfQD0jQ6gT7T7mjML8XuiBqWGdA0k1NfMu6tT2Jpe6pZ5O2dKeToypdot32uWKaWV73UiU0rNigJIL67GbrdrgaouQV6E+5mVoFRFvdYIvT02m50XFh2kvNbCf5Yf5s7x8fia3XI67Bal1Q3Y7HZCfM2ne1WEEEKIU8JtTVdSUlK49957mThxIhMnTuS+++4jJSXFXbMXQvyO1FmsfLw2jT1Z5R1OqzY59zUb8fU0ujx2ui3Ymc0NH23iqnc3HPfQ57836x39YwA2pha3M6UQoj3J+ZUA9ItpCu4eLaqmvvHEWyq4NDrvRFCqafQ9ZVqtfK+D/aLdbqespmlE1czSGkprLNQ4srKiA70IczQ7L6yqb3M+hZX1PLdwP/O3Z7EprcQl0LUvu+PjTGfZ7fYTGmijuKqeCa+u4oJXVnGkoNJt6yWEEEKcydwSlFqyZAl9+vRh8+bNDBgwgAEDBrBp0yb69u3LsmXL3LEIIcTvyLurU3hm4X5u+2xLhyf4lY6sKF9HppTzY6fbgh05gHKn/0BuxWlem7PDnuwy7efdWWVtTieOT0FlHX+fv4c1hwpP96qIk6iqvlHLZooN9ibcz4yfpxGbHdKKqk94/q7le8qpZF075XstRt8zdq6nVK3FisVq137PKasjvVhZ/zA/M54mA+H+ngAUVNS1OZ/nFx3gw7VpPPTNLv767S6Xv+3Nablvziuv48ddOcd0M8Fms3Pbp1vo/9RSViYXdPp5zuZty6K0xkJlXSPzt2cf1zyEEEKIs41bglKPPfYYDz74IJs2beK1117jtddeY9OmTTzwwAM8+uij7liEEOJ3ZN2RIkC5u51S2P4FlHOmlNpPpL1MKYvVRkbxqRk+fF9O0x34bW4qmzke61OKeGnxQe1C8kxlt9tJKWj6vNNO0ef0e/Lkgn18tTmDB77eic1m7/gJ4qyU7ShvC/Ay4Ws2otPpiHeUth09waCUzWanok7Zl/h3MlOqqXzP0VPK0LnR99R9ll6nPMdqs7P1qLIvjQ1SSqLDHGVuhZWtZ0rZ7XZWOQWJ1NK/gV0CHL/XtJj+ho82cd9XO/j3skPtrp+zjWnFrEwupNZi5f/m78F6HNuX83FCMkVPjvJaCy8vPiiBeSGEOIO4JSh14MABbr/99haP33bbbezfv98dixBC/E7Y7XYO5Vdpvx/Kb7+EQe0f5Ws24efIlKqqbz34YrfbufGjTYz/10o+/C211WlU2zNKueyddXyzJbPd6b7YcJTzXl7B0n15Lo9brDaKqprKTlI7CK6dLHUWK3d9vo3/rkrhzeWHT8s6dFZZjcXlwja7VIJS7mS329nguNAtqW4grfj0fCfFyZddpmw7MU697KIDlIyivPK2M4o6o7KuEbsj3tL5nlKORuemZuV7HWRKVdQq+/dAbw9iHEEoNVjTJcgbgFA/DwCKqxtamQOkFFZT6ig3VEv9+sX4c+kgpeF7bpnr+5FTXscRR0P1H3bmaI/b7XbWpxSR41T652z9kaYgUk55HRtSjj2otNeplPBgXiV2uwSO3e3pn/bxzqoU7vhs6wlvC0IIIdzDLUGpsLAwdu7c2eLxnTt3Eh4e7o5FCCF+J0qqG1wyetSLg7aoWVF+nh33lNqTXc7G1BIA3lp5pM279DabnYe+3smOjDIenb+b8prWg1yVdRae+GEfmSW1PPuzawC+qFl/k4ySkx9gySqtaXHXf1dmmRa4W3ccF0mnktrnRW2CXFTV0O6IXuLYFFTWu2xbUh557lIzpZwHWIh0BKVyW7kQP1pUzaVvreX5RQc6nHdZrRL88TIZMBsNnRp9T+1jpZbtaaPvOQWl1qcU8e22LJfnOTdU7+IISm3QglLK76E+SqCpuI2eUqmFyjFkQJcA5t89hmcu7cvnt43Ugly55a5Bpp2OBvGg7JPU+c7bmsUfP9jEH95aR01Dy2PMHkdASadTfp+/PavFNO2ps1hdPpuaBit57ZQknu2q6hu5+3/bePibXVom3clW32hlyV7lBlKD1cay/XkdPEMIIcSp4Jag1J133sldd93FSy+9xG+//cZvv/3Giy++yJ/+9CfuvPNOdyxCCPE7UdCsBMP5TmZxVT3/WnLQpSxO6yllbuopVdFGUMo5Xb+sxsLuNhqpHyqo5KijdMxuh18P5Lc63Xani5fMklrynS4gCipObVDqaFE1U/69homvrSbTaVmHnYJ6KQVVLQJx1fWNHCk4M+7Iq0Gp3lH+2meZ3UZWgjh2zXsJZRSfvvf2SEHVOfPZbk4r4Zmf9p9RWRdZZU2j06miA9QgTMv1/GRdGruyynl/TarL/rU1zv2kAK18r73AgpopZVbL94yujc5rGhr54webeGTeLrYcLWmxLH8vE7HB3o5prY7Xpvwe4tt+plS6Y1/eLcSH2GBvbhrdnWAfjzbfj6PNMgjVnlOfrD8KKDccWiutU/fxD0/qCcCSfXmtBq/aom4PPh4G4kJ9gFOfYZtXXscLvxzgnVVHjmndj8eHv6Xyy948vtuexdcdZCS7y97sCqqdgqcbpERSCCHOCG4JSj3xxBM8+eSTvPnmm5x//vmcf/75vPXWWzz11FM8/vjj7liEEOIck11Wy00fb+bFXw66BESaB6XyK5suGP61JJm3V6bwly+3a8/Reko5Z0q10ei8eRCqrZ4dm9NKXH7fltF6P6i9zUZtcm5mrr6OUEe/k6zSmuPqMdJZ87dnUd1gpc5icwmiOWeaNVhtLv1k6ixW/vDWWia+toZXl3a+d8rxaGi0UVnXfk8rNbsjJtCTCH/lfcs/BZkCG1OL+deSg21mxJ0pUgqr2JhafNzfo+YZIWqJl6rRajum97u4qp43lx9m0Z7cY1qPlckFTP73aia/tvqsD0xV1lm45ZPNfLwujSd+2Hu6V0eT4yhJi2klU6q14JnzqJe/7Gk/e8R55D3gGHtKuWZKqUFy5/2U86iraim2v6eRWEcQSqUG3EJ81UypNoJSJco+r1uw6/ODHcGs0poGl2NQ8+0kOa+CyjoLB/Oa9u9qxq2q0WrTslRnDo4hNtiL6gYry/a3fkOjNWqvqy5B3iSEKUGplML2M4XbUmex8tSP+7jjs62dHsWvpqGRq95bz3urU3l5cTJXv7fhmAJTB0p1XPfhZm79ZDPb2zhmOlu8t+l79vMx7kOOV3Ke8l4Y9Eo624FcGeFQCCHOBG4JSul0Oh588EGysrIoLy+nvLycrKws7r//fnRqHrMQQjh5YsFe1hwq5N3VKS53K5uPoJTvlHG04qDSrDa9uEYra1AvWjrT6Pyg44R0cp8IADY1Cz6p1BPVHuFKY+C2ypyaB6WcM1EKHMG0gV0CMBl0WKz2DksxrDb7cZcxOAfOnDMNmpfzZTkFAZbsy9Mayb+7OqXN8pe88roTyqTKKatl3EsrGPHP5VoT+7amAyWjo70LaGe/7s9nyLPL+Ou8Xce1jhV1Fm7/dAtvr0zhxcUHj/n5x2p7Ril3fr61RZlSR95acZiJr63m2vc38sDXO9ucbs2hQh7+Zhc/7cpp8bfmGSHOASG73c6dn29l5PPL+XRdWofr02i1ceNHm3l12SH+8uX2VnuvVdc3smRfHtXNgsRfbkzHZofqBitfbkzvcFlnslXJhVrmzoqDBW4NbFbVN7p8p602O/fM2c7wf/7aYbBD7ccW45QpFeXYpnKaBV0aGm0uwY/f2tlGwTV7CcDTo+OglFqmZza6NjpXe0qpAWnApWeT+t56mQx0D3ENKiVF+gEQ4qMEl4qq6lvdB6hZqxGO168K9laeZ7HaXbJn1B5Tag+ug7mV7Mosx3nWKc3KynPL67BY7XgY9EQFeHGZo1/VJ+uOdnq/lF3alN2mZkod70iJLy9O5tP1R/n1QD53fb6tw1FsAeZsyiCzpJYALxOB3ib2Zlfw5A/7OrW8A7mVfJCsZ2t6GSuTC7nmvQ3tNmqvbbC69IvcnVXWqXU8UcmOwOKlg6IBJSvuZGeECSGE6JhbglLO/Pz88PPzc/dshRDnkMLKepfRkJbua7rAUjOM+kb7K787Ajk2m127Qw9wtEi56FKzovw8jU6NzlueZFbVN2rlFTeO7gbAjozSVkcgUy84LhkQBSh38VubTu0hMjA2EHAttXC+EFL7umS1U8JXUFHH+f9aydgXV3A4/9jvjjtnGjj/rAbC1PsDzhd8apAPoNFm55e9LTMkXlmSzKgXlnPTx5uPOzD15oojFFTWU2uxMvvHfW3ORw2SxAR5EeEY5t05U645u93OS4sPUlLdwLxtWezNdh3affHeXO6fu4P9rQz5rlq2L1+7IP1pV06HF0b1jdbjDjzUWaz85X/bWbY/n0fm7Wo3QOds/vYsXll6SLso/mlXDjszy1pMt+ZQIbd+uoXvtmdx71c7WowupV5sD+sWBDRl0wDszFQuJgFeWXqoRSCpuSX78tnvlBn4+q+HWmwjD3y9kz99sY0HnYJoVpudtU6ve/UpHgGrwQorkgvdloHnHByy2uzsclOfrvfXpND/qSXc/MkW7Tu5YEc2P+/OpbCynqd+3NfuyHXatuSUKaVuU8373eWW1+L80e3JKmv3O64Gr0MdmUZaplRD2+vTVqaUGpRy7nVWUtOU8aT2qfL2MDC4a5D2uK/ZSLjj9ajle/WNNpfgkjY/R1lfqCN4pfLyMGjrU+pU+qcGby9IUnqiHsir1DJ/1MzX5sEitUQwNtgLg17HDaO74WnSszOzjF8PFNAZWU6BxG4hSlDqeEaKLa+18L9NTcHe1KJqlh/seB2+35ENwCOTe/LeDUPR6eDbbVktModb887qVKx2HaPjg5mQFI7FaueBuTvb7DO2P7ccm135DvmajdRZbBxplhVmsdq0z85d1BtTYxNCCfMzY7c3PeZu5TWWDhv5n27lNRb25ZTLSKwOjVbbGT9K8elU22A9phundrud7Rmlxx1cF78vxx2UGjJkCKWlykF68ODBDBkypM1/J9vbb79N9+7d8fT0ZOTIkWzevLnd6efNm0dSUhKenp7079+fRYsWufzdbrfz5JNPEhUVhZeXFxMnTuTwYddRq0pKSrj++uvx9/cnMDCQ22+/naqq40uzFuL35qddOS4XQc4X2Oqw3v2ileG6i6sbaGi0Kf87XYRlOEoyKuta9pSqbOWCWk3bj/A3Mzo+BC+Tgcq6xhYnwoD22IW9wvEw6qmz2LTSClVZTYP22NS+kYBr2YcaXAv3M2sXhu2VKs3dkklWaS3F1Q28u6bjTBVn5bUWl4yyjJIa7SRTfXyI44LOOSNBHX78vMRQgBbZFxV1Fj5cq4xS+NvhouPqv2G321nerJywrdIONWAWFeBFpBqUaidTKq2o2qVn1lKnprWH8iv5y5fb+WFnDrd8srnNu+F7c5xLhVr/PqiKquoZ99JKRr7wKyuT277Iq6yztHpiuz291CVb7rmfD3RYilfbYOWfPyvNp++7KFG7w7+wWSZUfaOV/1vgOgz9e2tSXKZRL7aHdnd8F8pqte+Jc/lWVX1jhyV5P+5SLmBvHxeHr9lITnkdO50CMlmlNdr3aen+fC3j7WhxtdZfCGB/bkWnLgI2pBTzt2938eFvqcedTWi12XnngIE//W8HM95ce8IXvBarTfseqNv4rmbBwoW7c3jsu93HFFzIK6/jX0uSsduVQON8R7Bg3rambLTsstpWA5OgBHrU/Y9zplSQIyhTZ7G5BAsyS5TtLiHMh4QwH2x22JBahN1ubzWAXOgISoU5AjSd6inluDj3bJYpZbE6yrCd9tnqiHvglCnlYSQywFPLjpreP0qbxtvDiLcjW6u1bE+111Rws6AUQJAjW8r5u6D+PDZB2S+mFFRp2adXDFEyoDJKXMux1e1avQER7ufJrWPjAHjxlwPtBhBVWU6ZUt0cWWHpx9GL8OfduTQ02ugZ4csd4+K0x9qTV17HvpwKDHod0wdEMzI+hGuHdwXg2YX7270hUVrdwFLHtv5/F/fi7T8OISbQi7yKOr7c1HompFqiObBLIH0cN6CcyzZrG6xc+d/1DHtuGd9sdU+/KbvdTrIjO6tXpB+9IpTv0pF2bgLZ7Xa+3pLBeS+voOfjv3Dp2+t4/ddD7R7L7XY7T/24j4HPLGXcSytaZFSrlh/I57r3N/Lcwv2dDl7N357F/XNb3nA4HuuOFDHupRVMf2MtN3+y+ZRkqp3JsstqueCVVQx8eimvLU0+3atzzKw2O8l5lZ0eHCazpIZL3vyNgU8v7dQ2tsyRlT7omaWtZmK35v8W7OXyd9Zz0aurjrnM/0TZ7fbf/Xf6bHPcQalLL70Us9ms/dzev5Pp66+/5qGHHmL27Nls376dgQMHMmXKFAoKWr9gWL9+Pddddx233347O3bsYObMmcycOZO9e5t6Qbz88su88cYbvPvuu2zatAkfHx+mTJlCXV3TxcT111/Pvn37WLZsGQsXLmTNmjXcddddJ/W1CnGuUO/I3uTIWDqYV6Gd4Ktlb70i/TAZlPSewqr6FsNwq1lPVU6Nzv0cPaVa6110SDsZ9cdo0DPIkd2kBmZUJdUN2kVJYoQvCWG+Ls9XqVk53UK8SXSU+TkHHAodryPcz1PrfdI8sOXMOXNs2YF81POKXZll/G9justrstvtLiceamZUqK8Zg15HncVGfmUdjVablhUxpKvyetX3sbzWoq3PrAt7ALD1aInLQXxzaolLAGFJK5lUtQ1WthwtcWmu7mx/bgUFlfV4mQxM668E737a1frJSU55Ux8crXyvnYyW5p+d80X6d9uytMBnQWU9H/3WeqCveRaV2nfMbrfz6/58l+DT/O1ZFFbWU2ex8dSP+1oNKG1IKWb4P39l6LPLWLzX9XWq5aLnJYbi52nkQG4F323LajcwtWRfHsXVDcQEenHvhB5M7K2Unm5Mcw0QLt6bR2ZJLWF+ZhY/cJ4yTWoJFU7fm7wK5fMeHBuETqcEL9SsFPW9C3I0r1Yyz8p5dWlyi/LV+kYrqxxZVVcM6cKFjowS56DmrkzXC7Gt6cprV4PDA7sEEB/qg92ufO/asz2jlBs+2sQ3W7N47ucDTPvPb2xMLWZHRikvLz7InE0Zbd7pzy2v1b7z87Zlk1ap7FMKKuv5zNG4+nhtSi2hsq6RUF8Pbhjl2Jc57SeOFFRy31c7mLslk9s+29LpXmDL9udpwRqAzzccJbe8Vvv+DHZsy2sPt55pl1tei92uZCWFOAVifDwMWjDIORspR8tQ9Oa8xDAA5mzO5KJXV9N39hJWNsuyUbNAw/yUc0Bvp/K9toIX9VqmlDKtqVmmVHV90/6swilIqZYEqoGvD24axlMz+vDEjD4u81ezpYpa6SulBqrUaZypQalSp/dD/bl/TAC+ZiMNVhu/Od7rKf0i0euUzFLnAJh6M0V9TwDuviCBYB8PUgqrO9XIuym7zZtuwY5MKacbDJ31rSN4ecWQLkxzZPsuP5DfbtBQvVGQFOmnBe8emdwTHw8De7LL28322pRWgs0OEV52ekX64eVhYNYE5ZgyZ1NGq9+J3Y5ATb+YAO0GlHPG0vwdWezKUrKpnl243y2jsOZX1FNWY8Gg19Ej3Fcrz2/vRsS/liTz6Hd7yCyppaHRxq7MMl7/9TCTXlvdZmDol715fOrYtxRU1jNrzvYW7/3e7HLu/t92NqQW8+HaNF7pRBBkVXIBD32zS7vRogYaUwurWLQnt8PsVme55bX8+Ytt2g283w4X8c3WliXl+3LKufWTzVz97gaeXbifNYcKT+hCv6S6gZcWH+SFXw5o28zJkFZUze2fbmHyv1czZ1NGp57zwqID2jnRGyuOtBn0d1bfqPRum/jaav46bxfpxacnI6i2wcq1729gyutruPCVVR2OWg3w1293sTdbuSn0j/l7XHrmNVdQUcf9c3dQa1H6lv7t290dtlbYmFqsvfc2u9Kyo6KDvqLusvZwEeNeWkmvJxbz2He7T9nonuLEHHdQavbs2Xh7K3dynnrqKWbPnt3mv5Pptdde48477+TWW2+lT58+vPvuu3h7e/Pxxx+3Ov1//vMfpk6dyl//+ld69+7Ns88+y5AhQ3jrrbcA5ULk9ddf5/HHH+fSSy9lwIABfP755+Tk5LBgwQIADhw4wOLFi/nwww8ZOXIk48aN480332Tu3Lnk5HQueizE79Wh/Er2ZJdjMui4d0KilomkXhipJyoR/p7anfiCiroWQamiSuXCwbnRudpTqrKVnlLqxXCvCOVEdJgjW2TrUdfAhnowjwn0wtvDSE/H9IeaNYtVM2z6RQc49T9qOslyzpRSR4lSyzMO51eyeG+udrFhs9ldTshrLTYOluvYlVXO5f9dz+ML9nLX59u0zIW7/7edvrMX8+7qFMc6K8/tHeWn9Y3JKq2lsKoeux2Meh39uwQCTRc+ag+ZSH9PhncPJsDLRHWDVRtpCpoCFeooWyuTC7ULDKvNzvtrUhj94nKuencD4/+1kg9/S23xvqvBi7E9QrlyaBcAFu7ObXFi29DYFECLCvTUSo3ynDLAPl6bxvB//qoNta5eSI3roWQ07Mos095TNatrYm8lYPLemlRtaHiV3W7XmtOr2WJqAObHXTnc8flWbv1ki9aQ9/sdTfv39OIa1qe4BgXqLFYem7+bOouNRpudxxfsdbkDrmZbTOkbqQUC//bdbhL+sYipr69pNZvmh51KAPeqYV0wGfQMdZTeHcitdMn+Ui96rx/ZlaRIf+JCfbDa7Gxyasislu/FBnsR4qNsW+qJpVqy+n/T+6DXKc3+L3lzLW+uOMINH25yySTZm11BfaONEB8Pekf5ae+dc3Cp+QhuarDvoOP9Tor0Z3j3YAA2dxCUenHRQaw2OwO7BBDuZya1qJpr39/IZe+s551VKfzj+z28uqzlRd1Pu3I476WVjHlxBfd9tYOXHc38B3ZRLoK/3ZalfV/Si6uZuznD5XVabXZ+2JndZm+cXxxBx4uSIugdpWRdJDttx/OcAqNHCqo63fRaLaP80/h4PIx69mZX8MSCfdjtMKJ7MNcMiwVo8f1TqdmQ0YFeLn09dTodQT7KtuxcrqYGqEJ9PbRtac2hQlKLqqlpsPKP7/e4bK9qplS4n7KNqj2lrDa7SzDNWZ3WU8pRvqf2lLLasNvtVDt9l50vXJzL9wBig725ZWyclhWrUr/PzTOlGhpt2miswT5mmlMDMGogqrbBqvW/Cvb10Pb/6rr3iw7QAk+uNyFaBqX8PU3c6wjOfLwurcPyZ/X40CXIi+hAT4x6HQ2Ntg57ETpLLaxie0YZeh1cNjiGwbGBxAQqTdfVfXFrdjj2pWrAE5QG8jeN6Q7AG8sPt7n+6vaR6N/09z8MjMbHw0BqUXWr5X9q9tCALgH0imx548e5CXplXWOLRuiVdRbWpxTx6bo0/vH9Hp76cV+Lc4Tm1Ivu7iHeeJoMJDiCUs37g6m+3JTOO6uUY+zDk3qy/OHzefnKAQyMDaSmwcr9c3e0uMi22+28/quyn7lpdDci/M0cLa5hXrMegi8tPkiD1abdBPh4bZrLICSt+deSpn2czQ73z93BbZ9uYdK/1/CXL7dz2TvrWgSm2vrMnl90kMr6RgbGBvLo1CQAvmjW36+kuoGbPtrMyuRCNh8t4aO1adz08WYu/+/6FiXAoGTerEouaDM4VlhZzzXvbeC/q1J4b3Uq17y/oc1BaVQLd+dwxX/Xc8dnWzic37kyy4ziGq59fwPLDxZwKL+Kf3y/p9Weh81f65J9yndOzcb8z68dD/7ywqKDfLr+KEcKqpi3LYuJr63mmZ/2u+xf23Mwr4IbP9rElH+v4aXFB10CdW19duqgCs5//2htKlsc57J5FXXc+fnWdkuw9+WUszG1BKNeR88IXxptdi0juzXvrEqhpsHKwC4BDIoNpNZi1b7nbXl75REArhkWS3yYD8XVDXy67mib029LL+Wyd9Yx7Llfeey73S7b1vaMUl5YdICP16Z1GGDalVnGXV9sJbusFqvNztwtmdz31Y5O3xSyWG28tuwQ5728gsn/Xs1bKw6fkgF3BBg7nqRj8fHxbNmyhZCQEJfHy8rKGDJkCKmpLS9U3KGhoYFt27bx97//XXtMr9czceJENmzY0OpzNmzYwEMPPeTy2JQpU7SAU1paGnl5eUycOFH7e0BAACNHjmTDhg1ce+21bNiwgcDAQIYNG6ZNM3HiRPR6PZs2beKyyy5z46s8c6UX15BbA4fzqzCamr5KzVvbt97rvuWDrU3X2lNba57f+nStza9zy+3UvE7BerR4yI3z0ul0GA06PAx6TAY9ep1SSlHfqJyU11msVNQ2UlbbQHmNhbJaC6U1ys8NVhu+ZiOB3h4khPmQGOFHlL8nen3bb2ZKYRWFlfW8v0bZH0xICifMz0yXIC9SC6vJLKkhNti7KZjjbybM35Oc8joKK+tbpMurJ0VaTymzScuUqmilHEg94e3pSNkf4ri435buesKsBqUSHRcjahZU8xR/tdSgX0yAFkAprq7HYrVhMui1bIJwfzPltU2ZUjlltVz+znoq6xv529Re/OWCHmSU1FDTYMXDqOePI7ry6fqj7C7WsXlhU3nXhtRiNqQWY9TrWew4eXr910NcN7yr1oOqR7gvDY1KqWF2aS0mx4VfuON9hqY+QuqJeEK4D3q9jpFxwSzdn8/G1GIti2xHpnKSM+vCHry0+CAZJTWkFlUTH+rDX+ft0sqK/D2NVNQ18s9FB+gbHcDohKZjgdq36sKkMMb1CCPQ20RRVT2b0koY67gABmWUPbtd6TUT4uPRonyvzmLlmYX7AXh8wV4m9onQMqX+OLIrW46WUFHXyNHiaqIDvbQMqNkz+lJY1cCuzDImvraaKX0j+fc1g/A0Gcguq6WirhGTQcfMQTH8drhIe97Ha5syq95eeYS4UB8O5FZgMuiY0jeShbtz+W5blpZZAvDe6lTSi2sI8fGgzmKlqKqBlckFTOkbSUOjTQuijYgLJi7Uh91Z5drF1sG8Sh78Ziff/nm0tm+xWG3aBd0kR3P+6ECltDGvoo7dWeWMig+hur5Rm+6ywUp50eiEENKKqtmUWsykPhHUWaxaGZPSSN5MUVU9+RV1JEX6kem4IB7l6AnjnBlRUdfI/O1Z3HFePNC0zQzpFoROp9MCZbuyymlotOFh1LPP8T4O7BLArqxyraztQF5T+Yy/l4mvt2Zq655TVkt+RR2DYgO19yCjuIbNR0sw6HW8d+MwvEwGnvt5P99tz8LTZKBPlD9b00t5f00qt4yJ04ICdRYrT/+0n0bH9vOjo9wgxtvOp7cM5bx/rSG7rJZtGaV0C/Zmxptrqahr5ON1afx07zjMRgMvLT6o7a/e/uMQpjuyTjKKa/jtSKGW8fmHQdHEhzU1pq5vtGI2GljtCAJ0CfIiq7SWz9YfZWq/SKrqG/nH/D1szyhlVHwIj12cpPUqqrNYtWDTZUNiKK5u4NttWdqImlcO66K937ud3m9nWa30k1IFeXuQX1HvEnxTL6CCvT0Y2yOU6ABlvxvobaKsxkJueR1rjxRxQS8lwNs8AKNmMYES1Gm+PtAyU8p5GovV3qx8r2n/rQZevTyaltEatb9VcbOLQTXYpNdBoKMxuzM14F5SbXGZ3mTQ4eNhoF9MANszygCld6CHUU+kvyf5FfXkldcxQImza8cj9UaK6qphsby69BCphdWsTyl22ec5q2+0aqXWXYK8MBr0dAny4mhxDenFNUQHenE4v5KNqcVM7RflEvxypgY/xvcM03puTesfyQe/pbFoTy5T+0W2+rwdjtc4ODbI5fE7xsXx6bqj7MkuZ1VyoZYV6UwNSvUIaLro8zEbmT4gim+2ZrFgZzYj45uOCdX1jdpxtn9MgHZsVwO6NpudnY71mdY/kkV78vhuW5Z2U+ObrZk8sWCvFjxU/bI3l5/uHacFSw/mVaDX6bRjvjr/pEilXLBHWNuZUjszy5jtaPL+4MSe3HtRIgAJYb7MHBTDxf9ZQ0phNV9tyuBP5ydoz9ufW8Gh/CrMRj2PTOlFfKgPT/20n/dWp3Dd8FiMBj07Mkr57XARRr2OH2eN44kf9rIquZA3VhzmtasHtVgXdd335SjHn41/v4inftrPT7tyXPpCHsqv4t3VKTw8uRegnKPcM2c79Y1W/n31IMY4vnvrU4r4aVcOeh38c2Y/YgK9eGVpMgdyK0grqtaa7L+3JoXi6gZ6hPvy5/MT2JJWwqI9uezOKueuz7cy789jtFEMl+7L4y9fbqfRZifS35MPbx5Gv5gAbd0KKur444ebOFJQRaivGZvdTmphNS/+coDnZvYHlCBMea0Ff08Ter2O99ek8PyipsFHNqQU884NQzm/Z9Mxt7nsslqu/2gj+RX19IzwZWi3IL7anMkTP+xlYGwgvSJb73n8/Y5sLFY7/WMCePO6wUx4dRUrkwvZm11O32h/9udW4GHQkxjR9Pys0hqtPPXRqUlsTC1m9aFCPl6XxrxtmTwwsSe3je3e6rWC3W5n/vZs/m/BHi0bPTm/ko/WptEt2JvCqnpqG6xcPawLg52eV1BZx3XvbySlsJpR8cF8cssI6hutvOc4Tj15SR8+WptGWlE198zZzjs3DMHfs+V+70tHBtPUfpE8OjWJCa+uUlo0pBS7nL+BclxWM57+NjUJT5OeK/67gW+3ZTFrQg/tpquz3Vll/Ha4CINex6wJPdiRWcZ9X+3go7Vp3Dau5U2FHRml3PDhJi0zdu6WTDakFvPo1CRWJxfytVN54Q87s/nfHSO1m9DO0ourue3TLdQ0WDkvMZTrRnTlga93snR/Pv/8+QBPOjJsy2oaSC+uoVekn3ZMUj+Xx77bw3fbm4LIryw9xKvLDtErwo8BXQIY3DWISwZEtbp8VUOjjbVHClm2v4DiqnoCvU10DfYmwt+TIG8PAr1N+Hoa8fEw4mNWys89DHpKaxooqmqguKoenU6Hp0mPp8lAgJdJKw0/l7klKHX06FGs1paRy/r6erKyjm2EoWNRVFSE1WolIiLC5fGIiAgOHmx9FKW8vLxWp8/Ly9P+rj7W3jTh4a4HZqPRSHBwsDZNc/X19dTXN0XAKyqUE3aLxYLFcnY21bvnqx0k5xt5cdf6070q4gxgMuiI8DMTH+bDkK5BzBwURUygF0eLq/nX0sMs3d908mTQ67h7fBwWi4UugZ6kFlZztKiSYV39tcbmQZ4GQh139fPKa8hy9JCKC/EmrbiGwqo6LBaLdjfF02jHy7FHq2+0UV1b73Lho56QJoR6YbFYGBDli1Gv42hxDYfzyujuaCx7KE8JNsWHeGOxWIh39PY4mFfhsq2qF+b9o33x99Bh1OtotNnJLa0mws+sXaQEeRmI9FdeR1ZpDd9vz9RS5uduzuCOMV3Zk6UEK3qG+zK5dxifrj/KliI9UIG3h4FxPUJYur+AD9ekurymOouNVQfzOOzIlIoL8aKsWlluRnEVJr1ykRDmZybcR3lz8irqqK2r53B+hfZ+WiwWhncPZOn+fNYfKeT2MV2x2exaCdbI7oGMjAtm7ZFiFu/JIcLPzPwd2Rj0Op6e0Zsrh8TwxI/7mbctm6d/2seCu0dh0OsorWnQ7sCflxCMzm5lSp9wvt6azYIdWYzo1nTSmlGsvIZIfzONjY0EeysnCoVV9dTVN7hkcNU0WJmz8SiHHMG4IbH+9Ir0ZXdWBbszS8kvr6HRZifcz0yEr5E3rxnAo/P3siG1hF/25tE1KJlHJieyxxF0SwjzpU+kj+NzriS3tEorLwGlof3zi5SA2PmJodwyuisLd+eyeF8eJZW1+HkaSS+u4Z1Vyp3BJ6YnsSOzjM82ZLB8fx4TeoawM7OMOotyZ7xboBlsVl6/uj//d3FPCqvqueaDzWxLL2VzapFWarkzs4zqBisBXkZ6hHhp378BXfzJ21/HzowShsb6s+FIIY02O10CPYn298BisdAvSrng2pdTjsVi0Zrsm416fEwQ7rh4zi6tJqPYE4vVjsmgI9TbyHN/6E10gCc+Hgb8vIy8vOQwi/fmcvMoJUNni1pGFuuPxWIhNsCDQC8TZbUWdmeWMLBLgJYpddXQGHZllbMvp4L6+gYtUyoxzJvoQOXicU9WOfuySrjh462U1lj48/g4Hp6kXAT+vFsJ/IzoHkSI4zvx/Mw+zJ7eC71eh8mg58r3NrErq5zvtmVw+9juACzfn09RVT2R/mYem9qLV5cdJsTHxCWhJZj1dib3CWf+jhzmb8vEZrdr2TSH8qv4bmsGF/QM00pwAF5YtJ8JPYNJzq/img82axfEfaL8GBbrj06nDLZQWdfIodxyugZ7aYHw167qz7UfbGZDajHbjxbx/C/JbE0vA5RsrY0pRXx910jC/cysO1xEncVGpL+Z+GBPbhjRhe+2Z2F3NIWenBSKt4ehxfvtLLNY2S6iA8wtzi/UzIzCilrtb0VVyj43wNOAUWdj7p0jWHaggMl9wvnv6lTmbM7ilz05jI1XAhbaPtrLoM1D3f9V1Nbh3cq5unp326izYbFY0Nmazhmr6+qprG0KJpXXNp0XVTs+F7OBds+V1NdVUF7rMl1+WY3j7x5YrY00P1UNdBw0iiqV5xWU1zgeN9HY2Mgl/SL4fINy4TlzYBQWi4VwR0Aop7RaW1aBozQ2yMvosnyzHi4dGMWXmzOZszHdZZ/nLNORJelp0uPnoVO2K0dQKq2wgpgADy7/73oq6xp5b00qP9w9Shv9UNXQaNMyQq4cHK2tx+TeYXzwWxq/HsinsqbO5SJMfZ46aEf/aF+X9fc36/njiC58tC6dN5YfYlyCa9CqpLpBy/Lt4W93ee70fhF8szWLRXtyefziXtqxa3dmqVLu52cmyMuASa/sBwoq6yksr6Ggso7K+ka8PQw8PLEHi/bksTGtmPTCCo4UVvP3+UrvvKgAT/pG+REf5sPS/QUcLa7hoa938vFNQ3h3TRqv/arsj1++vB+XDY5mn+M19gz3wWKx0D1Y+RwzS2qoqqnD7NQb7f6vdtBos3Nx3wjuHt/N5XXpgNvHduMfC/bz9ZZMbhvTVfvbQkdm6/k9Q/EywOWDonhjxWGySmv5blsGlw+O0TJMLh0URaSfifsujGdVciELdmTzp3HdtQC3s++3K5/r+Ymh+Jv1vHRZH+JCvMgsqeGywdGU1zZy79xdfLEhnTvHdsPDqOeReTu1Ngf3zNnOL/eOwd/LxOwflHYl1w2PpVe4cn4zOl45vv+8K5s/jY/DarOzwBF0f/CiBCb3ieDSARHcPrYrV7y3ie0ZZXz0Wwq3julGSmE1D36zk0abHYNeR15FHde+v5EPbxzM0G5B7M2uYNbcnWSX1REV4MkXtw0jp6yWmz7ZxpebMrh0QCT+niYe+GY3B/IqCfI20TPCl01pyvH5mmFdOFpczaa0Um77dAv3XpigHXODvE0M7x7EkK6BHMqvYtZXO8kqq6NbsDef3DyUUB8PsktrWHO4mHu+3Mb9Fynfp6r6Ru48rzuj40Ow2+18s0UJulwxJJqYAA+m94/kp915PPnDXiL8zPziGIxn1gXx3H+Rkv34xq+HsFjtjI4P5o6xXbljbFfWHinmpSWHOJhXybML93M4v4KnL+mNXq/Dbrez7EABvx4o4EBelVPT/RD+MDCSOZuVklXnPplfbMzgaKSeqY7v31M/7NVGTN6YWsLD3+wgwt+TyrpGkiJ8uX54DEO7+nPNB5tZe6SIAU8txcds4IrBMTw2tScmg56q+kZ+cHy21w6LIdLPxNVDu/Dl5kz+teQgc+8Y7hJIe3WpktU3onsQw7v6o9PpGBMfzPrUEt5ecZhn/uBaSg3w5nKlD/OM/pFE+pmYnBRKfKg3qUU1fLo2lT+Nj9OmPVJQxW2fbqHWYmVsQgjXj4jln78cJL24hr98uV2bblLvcLaml7Irq5y7/7eN964f7HI+nFNWy/Ufb6W4uoE+UX68cc0AfM1GXrmiH/d9vZuP16VR22ChvtHGz3vyqG+0Ee5n5vWrBzDcUTnx2YZ0vtuehUGv45kZvTEZ9Hy9NYttGWUczKvkYF4l32zN4vlFB7h2WBe6BnuzLqWYHZllNFrthPh44O9lJDm/qtWKjeM1JiGYz24Z1vGEZ6jOxjlOKCj1448/aj8vWbKEgICmg63VamX58uXExcW19tTfnRdeeIGnn366xeNLly7VyiDPNtZaA77NvkGdSY5sdZpWHuxsF4XWpnPnMk5kXifyGpo/2Pl5dSL1qxOMOiXI4+3452O0az8bdVBvhQoL5NfqKKgDixWyyurIKqtjzeFiXl9+hDBPO8V1YHOsU6hZmeekGCvpO9eSvhOsFXpAz6otezFk76bWonyptq9fRW2J8rf12/eSU6MD9ATrqkhDT1ZhOQt/XkR1vTL9prWrUeIuyu8Lfl6Mr+OcvaweiquN6LBzZPs6Mncpj/fw03OwXM/r361hchflHd64X1lmTV4qixalUFSnzPNQXgU//bwIgw5K6iGvwogeO7l7N7L4APgaDZQ16Ph+8QpCPKHRpixvy28rKG9Q5pFdWsO89YdQ89YySmr5bP4vbC1UluljKSN/3wYCTAbKLco0Y8IsDPPIYSlGVjiVXyQF2DhYruerVTs5XK4DdBQe2UNNuTKvjbsPkeFjBwzYa0rZ8tsKDDoDVht8/eNiNqQp09XmH2XRojQs1co6bkop4qefF1FUB1X1Rjz0dg5v+40oqw4w8M6KQygVOjqmxDTiV7CbJYt3M0gHCw0GDuZV8vTnixkVbmdLoQ6b3UCUl50d61awAwirUeazcGcWw/TpOJLb2FqoPO7RWM2iRYuw2kGHsr7f/PgLe0uVv6teXKyc2Ed42dm0+lf8LMrr+WntTnxNyuuONNXyyy+/AHBtBPTQ6/jiiIHP16fSs+Ewv2Yr8/S3lnNwyxpMegM1DVae/nIFdruBGG87IZ52dpfoWX1IyV6JteWRtSuXCC8D+bU2/jV3GcNC7byxz0B9o46eATbI2I5XmTLvpXuyGGNKZ0WO8nsXcz2LF//SYnvrH6BnS5GeN3/cyFXxSsBjmWP9uno2uDzHo8ox7y0HiSrfz4Kjymvv4lGjDdxRUqV8nrszivn550WkVCi/+xut/PLLL9SXKc9Zt20feYeV9yvYw8YSx3KG6gALFFUqz9ueUcr8nxZh1sOGwwZAR0P2ARYtUlL+Yzz1lNXq+d/i9ewPtVNUpXz/jTm7MeoMVNU38tF3v5BZqnzgGXs2UmyEYLOBknqY/lZTdvP7a1IJqzxMqCd8vUdZVoy9sMWgJKpeHjp2YeCLNclElSvBwy+PKK+vl08tusztPJLUNP2yZcuIrFPew6+2NN04GxBsY3eJnn8v3sevm+00NOqJ8bZT1qDs257+fAnLc/TUN+oI8LDT09/OtKhS7bMJMxmorNPxzZK1BJnt2OxGAkx2cvesp2+gnj2lei5/dxMAngY7l3azsTxbT1ZZHde9vYr7+1mZ7/gs4zybvrs399CxvVjHRdE1rF6+FIBos/J+f7lkPdlRrkeHTY7XXpWfwaJFriU5dY79w7qtOzFm7wAg2bEvyEpNZlG1ckMvFNi+FgIqlfdp0a4sRhnTsQNFVcpnsnvzWtIdbZqMOgON6Fi8bAXhrdzQLatUnrN10wby9+Eoa1S+C4sWLyUtU1kHgOoGq7avPZqtPH7k4H4Wle5r9fMHKM1Tptu27xCLappuSiY7tkOTrb7V70+hY/67D6awqOGwNr3B2jT99Qk6Ki3glbeLRYt2Uec4Lq3bsZ+gYuUCPy1PeX2p+3eyyPG+qqIdx5DF+3KZ90MWPq0E7Q46lhvg2D4BqFSWs3zzXlZugco65f3JKq3lrveXMzHGxopsPVY7jIqwU1IHxdUG/Ex2GtK2oX70dru6nVl56vOljG/2fUmvgvpGI94GO/s3reZAs1OI7g1g0BnYkVnOu98somtTRSO7ipX1jvSy42dSti2VzQ7+JgPltY28/vUS+gUpy12VqzwnzFirvcfK+un44sdl5Ncqf4/xtLB34yp6+Bs4UqHjvk9Wc7Bch9WmY3iYjesTqtDpqqARQmPhXyUG1h4pZuZrSzhQphwTAZ79aQ+G7J1sduy3qrKTWbToIHY7eBkM1Fp1fL5gCTGOWNCKHB3pJQYCPOyM987ml1+yW3xe+kblPUktqubjbxcR6a28z/N2KsuIsuSyaJGSnTk2RMdP1QZeWbSXzIO7WX3IgB47vW0ZLFqkBEP6BenZW6rn5g/WYtBBcT0MD7NzWXfl7OmbHcp8u1jztPcsAUjwgtKDmdjsEGI2UFxr4Zn/LcXTAMn5Bow65byttMbCrI9WEu1t53CBAR+jnb62NBYtUjKC1eP7txsOEVt1gMPlOvIrDHgZ7NSlbmPR0abXPi1ax9epBl5ZcpC6zH18mWKgul5HD387t/Vs5KNkAymVjdz40Wa6+MLRSuW8NMzTzp3xVezbuAqA4WF6thTque2TTTTYoN6qfF6lNRYtIDU91soY01FGhIO1Us/WIj2vLz/S4vMw6OxY7Y7zTE87t3avYOtvywGYHAA7TQaOFFZz79xd2nPWpxRxZ5INL4Od5HwjJp0dc94eFi3aQ18d/KwzaFmSqrdWpdKYf5gwTzvfOj6Tkd4FLvuWP3WH3zx1fH9Uz9wtWWRmZHBhlI35R/XsL2sKohh0dqZ0sTEpLB99bj63doGsIKhu1OFvspNRrWNuip7f8vS8+NWveBlg0UEDOuxc3t3G9+l6Fu1tKgm/IKhcOxbdlKDj2zQ9JfU6quutfL4xg/T0o1ze3cbaPB3VDQbCPe0U7d/IogPQywomvfJ6//7xYnoG2Km1QkqFjp8ylPOusb6F2r5pqBesx8g3WzNJsBzF3wMOl+uotUJxHSzLUtazN5ksWqQEVEcH6kgtMvDflYcIKj2ArwnyauCdAwbKG3R087VzaUg+lqP5zEqEhRl6DpTpCDbbmRZrI8E/hwFGeHOfsp3/8c2lXN/Dht0O24t1LMzQU92oI9Rs57roUtY4jpUAl3TVsTDD9Xiv19kpqKznlk82c1eSDZNeOY8DHTNiG/Et2K28lzEwMwzSq3RkVOnYVaIjv7aRD9Y6bRQOzpm6/iY7g0LsRHjZqbJAcb2Oigbl861pVK6h6m1gsbnucH2Mdu3axWJT/tWWFbV5/nM2qKnp3IAdJxSUmjlzJqCUAd18880ufzOZTHTv3p1XX331RBbRrtDQUAwGA/n5rn0a8vPziYxsPUU5MjKy3enV//Pz84mKinKZZtCgQdo0zRupNzY2UlJS0uZy//73v7uUDVZUVBAbG8vkyZPx9/fvxKs980yaZGHZsmVMmjQJk6ntNEZxZrLZ7FhsdixWGxarDavNjodBj9noKOdrpxSvuUarjcKqBrLLaknOq2TJ/gI2pJZQWKfM4/zEUP42JVFLo3eWvTaNdUsOYw6JZtDoBNiyDh+zgctmTCZj+RHWF6QSFNWN7JwKoIIpw3uz7ZdkamwGxk+YABtXAjBz+lTMRj2P71hOdb2VEePO17KfftiZA9v30i8mgMtmjNKWXRWexf/9sJ8USyDTpo0G4KX9a4A6Lp0wimHdgrDZ7Ly2fwXV9VaSho0nMcKX77Znw/Z99I0JYKZjfp9kbWJnZjkJ/YbSNdgbtm4g2MfMjOkXYLPZeWWfMo+jjptgMYGeZJfV4dVtAI11hUAhk4b35pLR3fCOz+Ohb3YxsGswr14/GG8PI+uqt7Pa0Wx3TEIwd4ztzm2fb+dQtZnSBuUuxPUzLmJFciFLsvdj8A8jNNof0tIYmNiNS6b35tXk38gqrSVpyGiq0vcBNfzhghGMSQjBZrPz3uGVlNc20nXgWGxF1bBzL/26BDFj+gjGVNXz46u/Ue3IEBkUG8Crtw/HaGg6yaoMPcqLiw/xa74Xf7tuHD9+uwco5PKRCUxz3F202uz88PpaMktrWVYZxVvXDcKg15GxOhWOHKF/fAzTpinp/C/tW01+ZT19h43lwPZsSM1iat8IFu9r2odP6BfLtGl9qNiSxbof91PnFYbBbAAKmDq8F9PGNd0YmWqz88u/VlNU1UBQ0ggaK7KAAiYO680lY7rxSdZGdmdVsKbAA7By8ZA4RnQP4q7/KReZob4ePHzteZhNBrL80nhl2WGWF3izt85MelUF/p5GPrhjNNGBXlxksfLJ8yspa7CROOw8flh2GChi+sgkpjmyeZz5Hi5iy+fbOVDlyZSp52PQ65j32TagmEtH92aaY1AAAL8jRSz8bDvFdl+mTRvHu29vACq5+vyBWmPjeouVf+9bQXUjDBk3gcajpbB/DwlRwUybNpy0Vamsyz+CX0QsETH+cOAAfbqGMW1ayxFzP0v/jYySWgISh5EQ5kPVxnV4GPXcccVUrUdQuk8q+349Qr1vNNF9omHbDuJCfbniD2P5X/ZG9uZUUOyXAKQT4Wfm6ksnA3DY8whvr1JKD8L9zAR5m0jOryLDM55JY7tzdMMadDp48KoJWoZKc6OqG/ju5dVk10C/URcQHeDJU7tWAxbuvHgEI+OU3lUWS9Mxa4rByLevrNHKhYd1C+TDG4dw/qtrKKxtdAQR4YmZg9mfV8kbK1KYm6qcnEf4m/npntFak2zVxsb9pG7JwjuqB76+HrAvmWEJ4UybNpjEYVVc/u5G6iw2fMwGPrlpKIO7BnJnSQ1XvruJjGoLu3TxHKjKVdZ76jCtV9e0Vl7zUe9U9i8/QoNvDNOmDXD521cfb4HCUi4cMZBpjtEaVZutB9hRnElU90Rtm/w0axOUljN+5BAm93HNEp/YaOOLF1dRWd9ITP8xBPt4YN+4FrNRzzV/uFg7Tjy3ZxV1VQ2MHHOe1l/L2VO7VkKDhQkXjNdKoh/ZvAyrzc75F07gx+I9UNrU3++Ciybh52niq7wtUFrKiKGDtO92a/LXp/NrdjJ+YdEu70fjrlw4sIfukcr3vrmCDeksyUomICyKadMGYt+TBwd2ExvRNH3z9z9jdSq/5R/BN7wL06b1A+DJnSuARqZfdJ72+pwtKtrAvpxKqsL60qd7EB+sPUr3EG/uuSAek0FP2ebMFttg6aYMflt4kDqvMEe5Wz23j+3Gpxsy2FakZ1tR0753u1Pbs1kX9WJGs31MWVgmT/10gIVZJoYO6s2VQ6K1bIjPN2bAnoMMjw9j+vTWR8zeYtnDj7tzSTN25c+O1wyw9eeDQAYT+nUB0lucD+7gIJ9vzCDPI4a/OT6X5fP2ALlcNDiRaRcqpW/fF29n1aEiguP7k5VVDuQwcXAC0yYmYonJ5ZFv97CrRHm9I+OC+PimoS3KRO2RR3lh8SHtwv+qoTGsOVxEfkU9tZEDKNxyALBz4yUXar0XP8vexI7McqKThjCtfyR1FitPvbIGsPD36f200RZb80v5dlYfKqImpBfTLkxgX04FRRs34mnS8+A1E/BxlCidX9/Iun//RmG1hbf2K/uQy4d04ebL+mrzShxWxZXvbSKvtimV77c8Hf179eC8xBBKNm7Bx8PAw9dd1CLTTVUWmsHTCw+yssALo0EH1PPAxJ6Mjg/myvc3sdXp+/L4jH5c6fTahlTUMe9fa0iv1jFi/EWs+/UIkM2MQV34wyV9XZYz1WYn/dOtbEwr5bW9ymuM8Dfzxd2jCPU1c0mDlVlzd7LmcDFpjjZQMwZE8vi0JJcRMEdWN3DJW+u1wQmGdQvk1Sv7k1Zcw76cCkbGBbtkgc6w2/lg7VEW7c0j1MdMj3Af8ivqWZ9aTEm1Bb0OLu4XyRPTehHSrIy277AKZi/cT0m1hQt7hpJdVseK5EK+SPUgwNME1DFjUAxX/qHpux3eM5dXlh4mzM/ME9OT+GFnDl9symR+ljddg72wUcb4xBDuuWZoi8/iEmDMzhz+On8v6/L1rMtX3nuTQceNI7sysEsAw7oHtXlMU/kvSea9tel8lWp0tGOwcsuY7vzj4l4M3JLJkz8qN4WuGhrDwzObPqdpwF9R2lv8sjeffyzYx+pcPdddOITNyYeAGu6ckMR0p/OKXN/D/Hd1Gt8dbfn9unl0V/4yLcnlsa2fbGVDagmvH/DEYrW1KKf90/h4bnNkPANMttpY/+Z60opreOeIL91DfNh8tASL1U6PMB/m3DHc5Zh6ZRvvSd/DRfzpyx3sKtGzd6sBu92u9W5MivTj/RsGa9u38/tx8f58ft6TR4CXicsGRdM7yo+75+xk7ZFi/nvQiEGvw2q3MaVPOC9fO7DVsktQrp2WHyzk661ZNFhtDOsWyOj4EHzNRkpqGiiuaiA22IsBMQFaeWt7Gq02ai1K25QAL5PWduNcolaHdeSEglI2m/IFjIuLY8uWLYSGtl4rf7J4eHgwdOhQli9frgXIbDYby5cvZ9asWa0+Z/To0SxfvpwHHnhAe2zZsmWMHq1ckMbFxREZGcny5cu1IFRFRQWbNm3i7rvv1uZRVlbGtm3bGDpU2RmtWLECm83GyJEjW12u2WzWRit0ZjKZzvqAzrnwGn6v2j8cdp7JBF09zXQN9WN0j3BuGZdAQUUdB/IqiQ3yIj6s5Um6qnuocgGTXVZHieOELMLfE5PJRESgkkVYVG0h19FEfEg35QKzzmKj2DG9h1GPr5fyavw9TVTXW6ltVL6bdrud/21W7o6c3zPc5bs6bUAMs386wMG8StJL64gO9NJGgEuKCtSm7RPlz5ajpRwqrKFPlyB+dtydmtg7Upsm0t8LKKe4phFfLyVtN9zxOpznAdAzwpepfSN5Y8URtmWUczBPiVT16xKEyWRiQu9Inh++nWnThmvPf2JGH1I+2UJDo41nLu1HdKAXJoNO64US5G0iItCHriHK+ueU1xHm6K0RHeSDyWQiJlDpbZNV3kCGoxlyL6fXOSIuhGX789maUa71xBrQRfl7ZJCJv1+cxNML99M12Ju3rx+Kl6frN+i2cQnM3ZLF0eIaHvt+H2scQbQZg2K0ZZiA168dzHXvb+TXg4W8tPQws2f0Jd9xYhrjWFeAyABP8ivrKa5p5IDjPZo2IJrcinqtR9HF/aMxmUwM7KqkX+/PrdBOBIbHhbbYN03sHcHcLZmsOlTMHscIioO6BmMymegbHcjurAptGPoLekUwtkcIVw0tZNmBfJ76Q198vZX39JZx8czdmkVWaS0FlfX4eBh498ahdAtTbjKYTCZGJ4SwKrmQVYdL2J6hlI6MTghrdX95Xs8I/D2NFFc3sDunikGxgWxzlHiNTXT93g7uqvR8SC+pIaeiQevTdF7PiKb32WQiIcyHQ/lVHC6socDx/kYHemMymYh29IHIr6wnyNFnLC7Ur/V1Swzjy00ZbEwro7pBOfsbEBOgbXPqew1H2JlVTj9HU/1+MQGYTCb6xQSwN6eC73cq/bOSovy15dwzIZHk/CoKqxr458x+FFc3cPPHm/luew7BPsp7PbRrEDHBbe9DIgJNjIoPZt2RYn49WMTgrkGU1lgI8DIxKiHMJXCqvjcmk4kbR3Xj1WWHMOh1PHpxbwJ9vbhlTBz/cZQe9IrwY3K/aEYmWPhiYwaljpG7Xr9mMOEBLUtsekcHAFkcKawmzxHsGhSrbNN9YoJYeO95rDtSxISkcGKDlfe/R0QA/7pqIHd+vlUJDqA03z6vV0S7J6fD40K097v5Z5bt2Id1beXzDHHsE8rrGrW/ldUq+6tQP68W05tMcGFSuNK/5lAxI+OV/W/3EB/M5qYLCC8PI9CAxU6r36FqxzYV4NO0T/Qw6Km1WbHrDNQ0uF7QNNr1mEwm6hqV75ufl7nd84yIACU9q7TG4jJdeZ1Ve92tPT/U8X5U1FkxmUxUOkYBDPbxaHN5kepxqaoBk8lEfaOVcsd7GO20/3J23YhuPL5gL8//kozJoNMawhsMBh6a1JNsx/Gte6iv9vxB3ZTtfF2KEnEK8jbxt4t7ExXozXOOpsST+0QQ7m/mm61ZNDTaGB0fwq3jErTRDVXXj+rOb4eLWX6wgH8s2MfWjDJevUq58Nrt2A8O7R7c5mu+ZVwcP+7OZeGePB6/pK8WXNjsyGgZFR+CPSO9xfngzCFd+HxjBssPFtJo1+PlYWCHYzCJId1DtGl7Rfmz6lARKYU17HT0axwep/z98iGxrDxUxM+7cxnePYj3bhyGj1fLkRTvGN+D7PJ6ftiZw0VJ4Tx3WX8+WJPKK0sP8fgPSgZlmJ+Z2BBf7YIzMcKPHZnlpBXXYjKZWLSvgNIaCzGBXlw5rGuLfYez6QOiWX2oiKUHCnlwchJLDiiZzBOSwgn0bUoXDDSZePXqQdzx2VasNjtxoT48MaOvy/vUJyaIBfeMZf72bLoGe9PQaOWpn/bz7ppU5jpGxZvSLxI/b9eLbWfXjezO26tStSBPpL8nt5+XgJeHgXsv7MEbK4441juKa0d0c7nojg0xMaBLALuzyll6oEi78TNzSJdWvxNv/HEI176/kdTCakJ9zXx66wiigpR9tMlk4tNbR7I+pZic8lqGdgvSRjF2FhloYsE9Y5m7OZOIAE+t51a3MH8uSGr9Bv89E3pyz4SeLo/ZbHbSS5RSvkDvlt8LgMHdQ/hx1nna7w2NNm78aBOb0kqorrei18Gfzu/h8lovH9qVy4c2lWb2jQliXWoJqYXVFFTWY9Dr+Pu0Pm1uM1cO74beYOCpH/dRUdfIeYmhzJ7RVxv1sTMemJjI8t1HOVIBFqtV6ec5NQmTychNY+IZnRBGaY2FYd2CWr2RHGQy8cdR3TlcWM0n647y5zk7AaWX3h9Hdsfk1A/4kSm9sdl1fL01E5vNToC3iVBfM38YGM3No7u3mP/r1w7m6vc2kF7cNEBD9xAfbHY7F/YK5/ZxcS7PMZng/ZuGcf2Hm8guqyPbcd5xQa8w/nXlwDb75DU3oU8Un95q4h/f79GWHRfqw/Uju3Lj6G6Yja0HbacP7ML0gV1cHvvw5uE8Mm8XC3fnYrXZGREXzCtXD8LDo/1r2mkDY5g2sO2A9bEwmcCr7c36nNDZGIFbekqlpbU+1Pap8NBDD3HzzTczbNgwRowYweuvv051dTW33norADfddBMxMTG88MILANx///2cf/75vPrqq0yfPp25c+eydetW3n//fUDJ+nrggQd47rnnSExMJC4ujieeeILo6Ggt8NW7d2+mTp3KnXfeybvvvovFYmHWrFlce+21REdHt7qeQvzehPt7ao1W2xPruDjOKKmloFI5SKl3j9T/s0prtR5NPcJ98TIZqLVYSXXU1vt7Nu3K/DyN5JY3jcC3+lAhOzPL8DTpudkxkpAqyMeD83uGsfxgAT/uzGFyX+VEKNjHgyCnO3p9owPYcrSUreklhPh68NvhIm10I5U2Al9FndaU1/ku2Mi4EC0oNa1/lDLy2Ioj/LI3V2t02Te67azJHuF+rP7rhQBa0GVw1yCtSfSw7sHodDqtoXl2Wa3W8FW9a6Q2Pl53pAirzY6v2UiEf9M6jopXglIbU4upcVyc9XdqVnrL2DguHRSDn6ex1ZN1D6Oex6f34Y7Pt7LEcVI7Mi5YayyrGtotiP9cO4i7v9zOZ+uPctPo7qQ5Rh7qGtJUzqw0kC8np6xWGzmpb7Q/j07txV/n7WZkfLCWTdIzwg+jXkepY8QZs1HPgGa9dkBpGD53SyZfbEzHblcaIPeLUdZvXI9QvtqsBAa8TAaGdVcaef/rqoEt5uNrNvLd3WP4ZN1RTAYd147o2qKx9EVJ4UoD2+WHqW9UBgfo08Zn7GHUM7F3BPN3ZLN4bx46HdRarAR5m+jVLMMwyMeD2GAvMktqtQanPSN8W5zU9Y7y51C+0rtCHepa/X5ojeQr6rSTuG5O770zNSi15nAhDY5R2NSBAlQDY5W7grnldSx1jDKnfp/V/9Xm2klOmTTeHkY+vLkpg8Vut5MQ5kNKYTX/1nqvdHxcvbhfFOuOFLNob562nAt7tQxIOZs1oQdDuwXh72XSmvL+5cIECirrSC+u4ZlL+6HX6wjy8eCbP41m3rYsJiSFM8qpabMzNRP0YF6llsXR3+k76DwMvbNJfSK4bWwcH69TzqXuvyixw7ulA2MD0euU7Ty/ok4bbMFitWmDGbT2eQZ7q6PvNfV4UN8v5ywGZ5P7RPDTrhyW7s8jxDFN91DXeXtp/XhaDhdvsdq0USh9PZr21SaDjlqLowdgs1G41MBw89H32tI0+p5ro3P1tYW08doCvVxH31P3H82z4JypxzW14bu6TJNBR0ArzdQBrh4Wyxcb0knOr8RitePjYaC6wcpn64/ylwsStKHkuwU3va+9o/y06QBmDo7BbDRwx3nxTOkbic1up5sjG/i+ixLJLKllYJeAVr/zJoOe924cyodr0/jXkmTmb89mxoBoLkwK10agdR55r7nBsYH0jwlgT3Y532zN5M/nJ1BcVU+yo2/aiLhgHL2QWzxP3Vf9eiCfEXHBZJbUoteh9c4DtH3c5rQS7biuNl3X63W8/cchvHyF0meqrQwGg17HM5f245lLm7Jdrh4Wy+u/HtYGPBjXI9Tl+er2qDY7V0cxvXJol3b3HaBsF//Q6ziQW0FqYRULdyvletP6t8zou7BXOEseGM/BvArO7xnWapPknhF+PHZxUzbKvpwK5m3L0r7Dt45pvx2Kp8nA85f15765OzDq9bx69UDtXOTBST0ZlxhGrcXKec3eA9Wk3hHszipn9o9KmWx0gCcj41rf14X7ebL4/vEk51USH+ajZYWp9Hod4xI7TlToEuTNI1N6dThde/R6ndacvbM8jHrevWEof/rfNo4UVPHw5J5tNkFXeXkYePO6wdz5mdK36P+m96Z3VPuVLpcP6cK0/lFU1ze2yN7qDKNBz209rRwyxdNgUwad8Xbahya2Un3QmscuTmJnZpk2oMH/Tevd4jNTgmy9+fu03p2aZ4S/J0seGM/2jFLC/TxJCPNpc9t0Xt/lD5/PioMFjtH8Ats8J2rP2B6hrHrkAnLL6zAadNq57rHyNCmf6R3nxVPbYGVEXHCnspvEyeGWoBRAdXU1q1evJiMjg4YG15OC++67z12LaeGaa66hsLCQJ598kry8PAYNGsTixYu1RuUZGRno9U0HljFjxjBnzhwef/xx/vGPf5CYmMiCBQvo16/pIPa3v/2N6upq7rrrLsrKyhg3bhyLFy/G07PpS//ll18ya9YsLrroIvR6PVdccQVvvPHGSXudQpyr1CBEUVW9FphQL7DUi+wDjubIXo5RKEL9PMgsqdWmdz7BU3+udDRAf2+1ctF+w8hurd6J+cOgaJYfLOCHXTnEORqM9mh2V29MQgifrj/K/zZmsGiPMpjBDaO6uQRQwh3BnfyKOm1kEeeg1PWjuvLttizs2PnjyK74mo0Y9TrtIi4u1Kfd0TyAFgfLGQOjtaDUeMcJYJSjeXSdxcZ+x/umBsxiHAGJlclK+XHPCF+Xk4hRjiyIdUeKtHTo5oGdoDYu7lQT+0Tw2MVJvLo0mehAL168YkCr013cP4oJSeGsOFjAh7+laqMxOV+0q+u9MbWEOosNL5OB7iE+JIT5su6xCS7z8zQpI2XtdGRQDYoNbPWO2dgeofiZjVqz+cRwP+0k74JeYYT6elBU1cD1I7u2WSahivD3dLmIaG5C7wie+GGfltY+tkdIu8GGKf0imb8jmyX78rSL8HGJYa3eAe0fE0BmSdOoOOOdRgFU9Y7y54edORzIraDcMaJZF8dFrxZELVdGPQTo3saJ/eiEEPQ6SC2s1i7Eh3R1DUp5exjpHeXH3uwKLYttsGOaPtGu36GBjkyq1uh0Om4dG8fjC5RePZ4mPX8Y1PEdycl9I3jih73syizTmqlPbFaK1tqyxjQbDc1sNPDC5S2/s4kRfvyjg5N19cLaeaRQdSTLjjw+vTcj4oLxNRsZ26P1C0FnPmYjvSL9OZBbwfb0Ui52XAjnOIbBNhv1LUaCg6btt9gxIEKj1aZ9N9rati/oFYbJoCO1sJpvHKMgDWz2ujwd31c1iORMDXADeJubtikPowFoxGK1tRgaXg1K1Vg6N/peiK/r61Kpv6tBq+bU0ffKalxH32sr4wKa9utq6ae6TYT6mtu8KPMw6vn89hF8uv4o4X5mrh/ZjfP/tZLc8jp+PZCv3fF3PqaYjQZmDIxm7pZMPAx6bhvbFJSIDXYNCob7eXZ4YWY06LVg0ge/pfGf5YdJjPAlu6wWg17XYpt2ptPpuGFUVx79bg9fbc7grvPitQyuXhF+bQb9dDodMwZE886qFH7clUOjo8KiV6S/y/FOGyHPEeSKD/Np8X1sfhHdGeH+nvxhUDTztyt9oa4eFuvydzWDJ6WgitzyWjY4RhJUR/prT6C3B6MTQvjtcBGzf9xHZkktfmYjFyW1vt9pKyjdlqcv7UtNg5VNaSXcc2GCS4C7LZP7RrLt8Ul4ONowqHQ6HSMcZcxtmdovkleXHdJ+v2Z413Yv0D2M+k6t05lKvdlwLPpGB7D20QlYbLY2M3Ka8zQZOjyXaI+PCf5vWtIJVaSYjQa+unMUy/bnExvs3enjUkc8TQbGJBxblZSfp4lLO3FM74hOp3PLiHQ6nc5t74c4MW4JSu3YsYNp06ZRU1NDdXU1wcHBFBUV4e3tTXh4+EkNSgHMmjWrzXK9VatWtXjsqquu4qqrrmpzfjqdjmeeeYZnnnmmzWmCg4OZM2fOMa+rEMJVgJeJIG8TpTUW7Y6tetLf/KIqOtATnU5HqK/ZEZRSAhl+TplSatZURW0jeeV1bEgtRqeDW8e1fpdxUp8IvEwG0otr+Gy90hm2+Z2bcYmh2vDoJdUN9IzwbXGBqmaeFFTU46cGpZyykKICvFj11wuApmHRB3RpGm7cefjkzrp6WBf2ZSvDwl/lONk2Gw2E+5kpqKzXLjbVTCk1K029AGt+Z7B3pD8R/mZtaPJIf89jOolW/fn8BO4YF4dep2u3N9md58Wz4mCBNjwxuAal1OCkOux17yi/dk+SLxkQpQWlZg5u/aTH02RgSr9IvnUMnT65b9MFhI/ZyLd/HsOOzNJW73Yfq5hAL85LDOU3RxnjVUNj251+fGIYXiYD2WW1vLVSKbVoa/jrwbFBWoAUaHWo9qTIpswdiyPDSf0OqO9tRV0jFXXKdhQX0npQKsDLxKDYQLZnlFFZ14heR6sXOMO7B7PXUQrkYWjKVOsfE6BtP6AEBttzxZAuzN+epQzLPqNvm9knzsL9PBnePZjNaSXUN9rw8TC0O3T4yRDk46FtewDdQ7zbDW440+t1TO3XeslKW4Z0DeRAbgXbnIJS6mhbXYO9W9321Gwo9bMoq23KmAps43328zQxOiGUNYcKtZGhRjb7/L1MygVwjaVlUKqqQQksNb9QVvuRNbSSKaUODa4Gubw6uKhTg1Il1Q1YHaOAQVMWU7BvG5lSjs9H3VeW1TSVQ7dFvblRUt1AQ6NNC0p1VH4S4e/Jo1ObgtiXDY7hnVUpfLstS8sOal7m9PglfUiM8GNQbGCLQNTxumt8Ap9tSGdnZhlvOppG948J6DDoM2NgNM/9fID04hrWHilizSGlXG18z/a350sHKa9zxcECLVNjYm/X/VXPCD98zUYtONlWhs7xeObSfsQEetEtxKfFcPfq8Sa1sJrvtimjXI7oHtzp93rGgGh+O1yk7eMvGRjVYQC1s7w9jLx9fes9vtpzPME7UALvN4zqyv82ZtA9xJtbWul9KJR9tVnvns/4VPI0KUFuIc5Ubumm9eCDDzJjxgxKS0vx8vJi48aNpKenM3ToUF555RV3LEIIcQ5TSxA2pSl3KdUL5nB/M843nmMcF9TqXe+mTCnn8j3lYqKizsIuR++K3pH+LUqrVN4eRqY4AhNqQKN5aZK3h5FnLu2Hp0lP32h/Pr11RIs7X+o651XUaRelze9cN79j5nyHaWrfY7sgBSUA9eIVA3jtmkEu81UzopqvW1KzBsSJ4a6/6/U6rnG6k/yHQdEdpmO3xdiJZvmj4oPpGdF0EZYU6Ye/091zNdCnloz1jW4/cHfDqG7cPLobt4zpzlXt3Ol+cFJPogM8iQ/z4YZR3Vz+1j3Uh8sGd+n0XdCO/HNmf6b0jeCBiYlc1Ltl4MiZl4eBC5OaAikeRj0TWgk2AS4BjAh/s1IO2oxaWnCkoErLxIgNVr4b/p5GLaMPlNKj6MC2My3GOWVijU4IabXUy7mcdUq/SO076WHU8/CknngY9Nx3UWKHQSYvDwPf3T2GI/+cxnUjurY7rbO7L0jQfr5zfHyHmYcng3Og150X1q1RA4MrkguwO9LdtIybNi6q1bI0tSSozJEZFOBlardc6ZYxTdtJUqRfq5lyAHWtZkopgQafZhfrJoOyf6hvtGklamrGjRqMqulk+V6w43XZ7E2vCTou31ODT1X1jTQ02rRMqfYyQoO9PTCqQa/qegodpeWtZaa15w+OstRVyUpZrL+nscXn5ms2cvu4OIZ2azuL6ViF+Zm5Yoiyf/zakfnWmQCut4dRe96Ha9O0mwXn92x/v9Yr0o/JfSKw2uwUVSm9eC4f4rp/br6vm9FOU/tj5Ws28vDkXq1mP3UN9ibU10yD1cYrSx3lwoM7f+F+6eBo4h0Z1j4eBv5yQQ/3rPRp8uyl/Vj1yAX8fN95nboZIIQQ7uKWTKmdO3fy3nvvodfrMRgM1NfXEx8fz8svv8zNN9/M5Zdf7o7FCCHOUd1DvNmZWaY1f1XvOJuNBq05N0C8o7wozE+5YEgrUi7A/MzO5XvKbq2yrpFkRwPo5sGY5q4b0ZUFO5V+ECaDjvNayeT4w8BopvWLbPPCLcKpR496MtfRyCq3ju3OrqwyAr09XDJ2TlRMoJd2RzrEx0MLDjQf/bC1C527L+hBVmktDVYbsyac3BNsnU7HTaO7a6VazbN9mo+g0lHvAU+Tgaed+om0JSbQi7WPKuV/xzLK5PHoGuLNezcO6/T0d54Xz5J9+Vhtdm4e3a3NPj+xwd48dnESP+/O5aFJPVuMRAXK9y/Yx0O7MDcZdEQ5GkLrdDoSwn21UrvYYO92gxJXDunC/zamU9PQyF+ntF6yOKBLIE9e0oe9OeU8PNm1T8iNo7tz/chunX6/dTodxxoPvbBXON/8aTSlNQ1M6u2+7elYjIoPccmaOJku6h2Bp0lPamE12zNKGdotmENO5U+tCXLKlLLb7dpACW19z1QTkiJ464+D2ZJWwi1j41oEq9VMptrWMqXUoFSzDA71O+scRArzM1Nc3UBNQyN2u12bX0fZJ0aDXsu4La5u0Pq3FHcQlPLzNKHTgd2uZEuVOqZvr6eUXq9k6+ZV1FFQUU+RU/nesUiK9KdnhC+H8pXssyHdgo77JsCxuvO8OL7ZmonVZsdk0HF5O6PMObthVFc+23BUy5KK8DczKj4Yu63l5+7suZn9yCmv5UhBFY9M7tVqD6BHL06iss5C/5iAFhlNJ4tOp+P8nmF8t13JnPU06Zl+DFmyZqOBb/40moW7chiXGOa2bLbTRafTtVnGLYQQJ5NbglImk0nr2xQeHk5GRga9e/cmICCAzMxMdyxCCHEO69asbMj5bnFcqI8WlEpwpNqrJ/9q8/O2MqXUjKXmjaKbGxEXzPT+Ufy8J5fbxsW1eZe8vYt2tWF4ZV2jlsHVUaP3EF8zX9ze+oidJ8I5U8o5EOVpMjCpTwTL9ucT4uPh0sRc5eVh4LVrBrl9ndpy9bBYkvMqqbNY+fP4BJe/NQ9CDXNjtsDJDkYdr8Fdg1jwl7Fkl9UyqYOeSH8+P4E/n5/Q5t/VXglqRkOfKH+X8seeTkGp9vo8gRJcW/vohdjt7ZeH3NZGmSycmve8o74pJ9vt4+IorW4gKtCLcR2UKZ4oX7ORGQOimbcti5cXJzP3rlHsz1EHBGg9q1DNDGqwKtlJJVoQpuOsiEsGRHPJgNazSDzbCUqp2U4+Hm0FpZTAmF7XFAxSh8hW+515e3R8uhria6a0xkJRVb223yt2HCNC2ijfM+iV5uRlNRbKahqcGp23/36E+5u1rFgtU6qTo0c5u25EV57+SRkZ7rI2So5PhvgwX/5z7SA+WXeUG0Z1bXEMbkuPcD/uGh+v9Wp8eHIvjAY9lg6CUuH+nvw0axxWm73N42hMoBef3Dri2F6IG9xxXhw/7Mym0Wbnngt6dLrkVhXqa+aWsW3v94QQQnTMLUGpwYMHs2XLFhITEzn//PN58sknKSoq4osvvnBpIC6EEK1pftc0wamvUJ8ofy3zoI8j46n5HWnnMh1/r5aZUj07GFVFp9Px5nWDmT2jT6dGDGyNr9mIt4eBGqcLvbZKBk+27k4XGM37Rj0xvQ+R/p5cOij6jAjMeBj1PDuz9eNEoLeHNhJboLfpuPpbnY36dwlwWwPZcT1CtaBU87LU0QkhzHP01upMeVBnAgO/d54mA49f0ueULe+BST35cVcOm9JK+GhtGruzy4G2e9R5mQx4GPVKqVp1g1au1lGmVEe8PBw9pVop32vKlGpevqc8p8SxDj4eRm2a2gary7w66ikFSjbUEZr6SDU02qhwjMIa3Eajc1B6aZXVWCirtXSq0Tk4Nzuv026OhLYR+GrPzaO7U2ex4WnSM6ONgN/J0l6QsT2PTkliTEIoXibDMQWBdTodRsPpP+Y01zvKn5/vO4/i6npGtzGyphBCiJPLLT2lnn/+eaKilHTXf/7znwQFBXH33XdTWFjI+++/745FCCHOYc4ZMQFeJpe+QlcO7UKwjwcj44IZ5Bgiuvld72Afp6CU47mFlU2j+SV1EJQCJYvjeANSoJxwRzo936jXHdedc3c4LzFU63nSvCSua4g3z87sx7BWehCdiZ65tB8j4oJ5+YoBp6y05Vxy2eAYogM88TUb+WOz/kzT+kcxrFsQI7oHa/1txNklJtCLhyf3BOC5nw/Q0GgjJtCLhDbK93Q6ndZ/SR24AdovV+sMradUa+V7dW2U7zmCUmrJnI/ZqGVc1TRYqXFqkN6ZYbrVmxVqdpQaYNLr2m7iDhDgeO2FlfVUOta1rXI/VZhf08AWTY3Oj/34odfruPuCBG4dG3dG3CToDL1eKXk73VmJ7tQr0o8xCaFyjBFCiNPkhG972u12wsPDtYyo8PBwFi9efMIrJoT4/UgM96VbiDfpxTUtmkEnRvix4e8T8DDotRPG5plSzsEf9W+b0oqx2uz4eRpdgkUnU2SAJ6mOQFiEv2enLqROhi5B3sy9axTltZZTPgKZu43tEdrhaG2ibUE+Hqx45AKsNnuLoICnycC3d485TWsm3OWOcfFsSi1huSMj7sbR3dq9uA70NpFXUUdJTYMWEDrRTCmtfK+VTKm2mo2r5Xtq8MjHbNAamtdarNq8OmpyrlJvVqh9pLSR93w82g34qKV66k0MvQ78O2jy3JQpVd/p0feEEEII0Tq3BKV69OjBvn37SExMdMc6CSF+Z3Q6HW9dN4TF+3K5rZXeDM1HQmsvKBXu6O1UZ1FGbEuK9Dtldz97RvixPkUZQTAx4vSWmp0tmVDi5Gs+UqQ4t+j1Ot6+fghfbsrAZNBx/chu7U4fpGVKNWilc+2NNtcZ7TU6L9YCX677bbMjKKU2W1dKoJXT0toGqzYv705+f9VRWYscwaji6nrHctt/bWoWVWqhEpQK9Pbo8IaCeswprKzTlnc85XtCCCGEcENQSq/Xk5iYSHFxsQSlhBDH7Vj66DQfejvMtykTKqJZVlTzEedOpt5Oo/z17WCkOCGEcBdPk4Hb22ky70wN0pRWN2hZTMEnWL7nZVICTM6ZUq8tTebHXTlagKd52bXaU6opU6p5+V7nRt5TaZlSjvK9kk5mgan9o9KKlFHwOtP0Xc2USiuq1npmSaaUEEIIcXzc0lPqxRdf5K9//St79+51x+yEEKJdAd4mApzKK5wvBpoHrDrTT8pdxiWGYXI0ch2feHaXzQkhzk2BjqBLiVNPqRMt39MynBzZTSXVDbyx4ghHi2tIcWQgdVy+Z2y1fK+zQanQNsr3QnzbDxYFNivf68x7ofYfVF9bgJfJZcANIYQQQnSeW4bSuemmm6ipqWHgwIF4eHjg5eU64lRJSYk7FiOEEJoALxPltUrZR4R/00WHh1FP12BvMkpqABgYG3jK1ikm0Itv/zyG6oZGRsooPkKIM5AadCmraWjqu3SCpWeeHq49pQ7kVrSYpnlwSG10XlbjXL6nzqdRy5TyNnXuVDWkWaNztXyvo6blajljqWM9OtP0PTbI9Ty3S9DpGWlVCCGEOBe4JSj1+uuvu2M2QgjRabePi2P2j/u4amiXFj2j+sX4a0Gp3lGntozuVAbBhBDiWAU6BWHUwE2oz4mVnjXvKXWkoKrFNHGh3i6/m7SeUk2NztWsKOfR9zpdvuejlu8p8yuqVHs9dS5TStWZTKlgHw/8PY1UOEbriw3y7uAZQgghhGiLW4JSN998sztmI4QQnXbzmO6Mig+he2jLi4EHJ/Yks6SWq4d10fqWCCGEaOqZlFNWqw0IcaKZUl7NRt9TS+FUYX5muof4uDymNjpX+ZiNLsGtOkeAy6uzjc4dwafK+kbqLFYKKuuApv5PbQloNtJe895XrdHpdMSH+bIzswyAnqewTFwIIYQ417glKAWQkpLCJ598QkpKCv/5z38IDw/nl19+oWvXrvTt29ddixFCCE2vNi4EEiP8+Onecad4bYQQ4synjrSnZjN5GPX4dDIbqS1eHq6ZUmpA6LGLkzDqdYyIC8bY7AZB82CTr4dz+Z6VarV8z9y5dfP3NGIy6LBY7ZRUN1BQqWSBhfu3H5SKDHAdHCMmsHNZT6PiQ7Sg1JCugZ16jhBCCCFacksKwerVq+nfvz+bNm1i/vz5VFUpJzq7du1i9uzZ7liEEEIIIYQ4QWqpntqTL8THo0UJ9LFqXr6nls51CfLijvPiGdAlsMVzfMzGFr97ORqmO4++593JgJlOpyPER+0r5RSU8vNs72ktSu9iOtkf6rLBMXia9CSE+TBKeggKIYQQx80tQanHHnuM5557jmXLluHh0ZT2PGHCBDZu3OiORQghhBBCiBPUPDPoREfeg6ZMqTpHIKnI0Wy8vX5OLTKlnBqd11ms1Dp6Sqkj+3WGWnqXX1GnNTzvqHzPx2zUShoBYgLbD2KpekX6sfXxSfx833l4drLEUAghhBAtuSUotWfPHi677LIWj4eHh1NUVOSORQghhBBCiBMU4uOBydCUGRUdeOIjx6kBphqLFbvdTmEnglLNM6Cce0pVO42+19meUgBRjoDb7uxybHbQ61qO+teaIKfAXNdgn3amdOVrNkpASgghhDhBbglKBQYGkpub2+LxHTt2EBMT445FCCGEEEKIE6TX64jwb8oG6hp84iPHqZlSVpudqvpGKh2j0oW1k6XUfFQ9H7NBK+mrabBqTdN9OtlTCtCaqW9MLQaUgJRB33Fp4l3nxQNwzbBYPIwyOIYQQghxKrml0fm1117Lo48+yrx589DpdNhsNtatW8cjjzzCTTfd5I5FCCGEEEIIN4gL9SGrtBaA2E72UGqPczZTZokyXw+DHn/Ptk8zfZqV5fmajVrD9ZoGK9WO8j2vYyjf6x6qBKU2p5UA0K2TAbdrR3RlQlJ4u0E0IYQQQpwcbrkd9Pzzz5OUlERsbCxVVVX06dOH8ePHM2bMGB5//HF3LEIIIYQQQrjBQKfG4z0jWh/F9FiYDDqtJDC9uBqAUN/2G6g3L98L9Dbh7ciUstrslNYojdi9j6E8Li7UtfSue2jnS/HC/T1PuOG7EEIIIY6dW4JSHh4efPDBB6SkpLBw4UL+97//cfDgQb744gsMhpNXa19SUsL111+Pv78/gYGB3H777drIf22pq6vjnnvuISQkBF9fX6644gry8/NdpsnIyGD69Ol4e3sTHh7OX//6VxobG7W/z58/n0mTJhEWFoa/vz+jR49myZIlJ+U1CiGEEEK40+S+Eeh1EBvsxZBuQSc8P51Oh68joJSmBqU6yDpqXr7n72Vyybgqcoye19nR9wASwnxdfm8epBJCCCHEmcct5Xuqrl270rVrV3fOsl3XX389ubm5LFu2DIvFwq233spdd93FnDlz2nzOgw8+yM8//8y8efMICAhg1qxZXH755axbtw4Aq9XK9OnTiYyMZP369eTm5nLTTTdhMpl4/vnnAVizZg2TJk3i+eefJzAwkE8++YQZM2awadMmBg8efEpeuxBCCCHE8RjQJZD1j12El4fBbY26/TxNlNZYSCtUM6XaD0o1H1UvwMuEQa/Dy2Sg1mLVmqWr2VOdERngSWywl1ZCOLx78LG8BCGEEEKcBscdlHrooYc6Pe1rr712vItp04EDB1i8eDFbtmxh2LBhALz55ptMmzaNV155hejo6BbPKS8v56OPPmLOnDlMmDABgE8++YTevXuzceNGRo0axdKlS9m/fz+//vorERERDBo0iGeffZZHH32Up556Cg8PD15//XWX+T7//PP88MMP/PTTTxKUEkIIIcQZLzLAs+OJjoGaKXXUqXyv3emd+k15mQyYjUpwzMesBKXUZunHkikFMK1fFO+tSSXU18yg2MBjeq4QQgghTr3jDkrt2LGjU9OdrPr8DRs2EBgYqAWkACZOnIher2fTpk1cdtllLZ6zbds2LBYLEydO1B5LSkqia9eubNiwgVGjRrFhwwb69+9PRESENs2UKVO4++672bdvX6tBJ5vNRmVlJcHBckdOCCGEEL8/fo4gU1pRDdBxplSQt0n7We1HBWoGVYP2u9cxZnL9dUovEiP8GNglQEbSE0IIIc4Cxx2UWrlypTvX45jl5eURHh7u8pjRaCQ4OJi8vLw2n+Ph4UFgYKDL4xEREdpz8vLyXAJS6t/Vv7XmlVdeoaqqiquvvrrN9a2vr6e+vl77vaKiAgCLxYLFYmnzeWcydb3P1vUX4kwl25YQ7ifb1cmljpxX5Ci7C/I2tvteG7FrP1vtdm1ab5NrIMlDbz/mz+zSAcp5m3zWp4ZsW0K4n2xX4lzQ2e+vW3tKHTlyhJSUFMaPH4+Xlxd2u/2YM6Uee+wxXnrppXanOXDgwImsplvNmTOHp59+mh9++KFFkMzZCy+8wNNPP93i8aVLl+Lt3bkhi89Uy5YtO92rIMQ5SbYtIdxPtquTo7xYj/P4OVmH97OodF8Hz1JOQy2WRhYtWgRAfY0BaDp33Lh2NQfarwQUZwjZtoRwP9muxNmspqamU9O5JShVXFzM1VdfzcqVK9HpdBw+fJj4+Hhuv/12goKCePXVVzs9r4cffphbbrml3Wni4+OJjIykoKDA5fHGxkZKSkqIjIxs9XmRkZE0NDRQVlbmki2Vn5+vPScyMpLNmze7PE8dna/5fOfOncsdd9zBvHnzXEoCW/P3v//dpQ9XRUUFsbGxTJ48GX9//3afe6ayWCwsW7aMSZMmYTKZOn6CEKJTZNsSwv1kuzq5Nv90gG1FmdrvE8eNZFR8+20NVtbsYcGuXB6e3ItpY7sDMK9wG2mVxdo0l0ydhJ+nfF5nMtm2hHA/2a7EuUCtDuuIW4JSDz74ICaTiYyMDHr37q09fs011/DQQw8dU1AqLCyMsLCwDqcbPXo0ZWVlbNu2jaFDhwKwYsUKbDYbI0eObPU5Q4cOxWQysXz5cq644goAkpOTycjIYPTo0dp8//nPf1JQUKBlPi1btgx/f3/69Omjzeurr77itttuY+7cuUyfPr3D9TWbzZjNLfsrmEyms35Hcy68BiHORLJtCeF+sl2dHGH+ro3TIwO9O3yfn7t8ANeN7Mbw7sHo9Up2lK/Z9Tn+3p4YDdIb6mwg25YQ7ifblTibdfa765aj/NKlS3nppZfo0qWLy+OJiYmkp6e7YxEt9O7dm6lTp3LnnXeyefNm1q1bx6xZs7j22mu1kfeys7NJSkrSMp8CAgK4/fbbeeihh1i5ciXbtm3j1ltvZfTo0YwaNQqAyZMn06dPH2688UZ27drFkiVLePzxx7nnnnu0oNKcOXO46aabePXVVxk5ciR5eXnk5eVRXl5+Ul6rEEIIIcSZLMzP9cZbR43OQRmxb2R8iBaQAvA2NzU29zMbJSAlhBBCnOPccqSvrq5utS9SSUlJq9lB7vLll1+SlJTERRddxLRp0xg3bhzvv/++9neLxUJycrJLLeO///1vLrnkEq644grGjx9PZGQk8+fP1/5uMBhYuHAhBoOB0aNHc8MNN3DTTTfxzDPPaNO8//77NDY2cs899xAVFaX9u//++0/aaxVCCCGEOFOFOQWhzEY9AV7Hd2ffx6Mpid//OOchhBBCTPYIwQAAENxJREFUiLOHW8r3zjvvPD7//HOeffZZAHQ6HTabjZdffpkLL7zQHYtoVXBwMHPmzGnz7927d8dut7s85unpydtvv83bb7/d5vO6deumNdxszapVq455XYUQQgghzlXOmVJxoT4u2U/HItDb1OrPQgghhDg3uSUo9fLLL3PRRRexdetWGhoa+Nvf/sa+ffsoKSlh3bp17liEEEIIIYQ4Q8UEeWk/RwV4tjNl+5zL/iQoJYQQQpz73FK+169fPw4dOsS4ceO49NJLqa6u5vLLL2fHjh0kJCS4YxFCCCGEEOIMFe7nSRdHYGpsj9Djno9zUOp4SwCFEEIIcfZwS6YUKE3E/+///s9dsxNCCCGEEGeRz24bwarkQm4c1e245xHi66H9HOjt0c6UQgghhDgXuCUo9cknn+Dr68tVV13l8vi8efOoqanh5ptvdsdihBBCCCHEGSohzJeEMN8Tmodzb6qYQK92phRCCCHEucAt5XsvvPACoaEtU7XDw8N5/vnn3bEIIYQQQghxjusW7I2fWblnOrBL4OldGSGEEEKcdG7JlMrIyCAuLq7F4926dSMjI8MdixBCCCGEEOc4o0HPF3eMJK+8lnGJx9+bSgghhBBnB7dkSoWHh7N79+4Wj+/atYuQkBB3LEIIIYQQQvwODIoNZGq/qNO9GkIIIYQ4BdwSlLruuuu47777WLlyJVarFavVyooVK7j//vu59tpr3bEIIYQQQgghhBBCCHEOcUv53rPPPsvRo0e56KKLMBqVWdpsNm666SbpKSWEEEIIIYQQQgghWnBLUMrDw4Ovv/6a5557jp07d+Ll5UX//v3p1u34hwQ+19ntdgAqKipO85ocP4vFQk1NDRUVFZhMptO9OkKcM2TbEsL9ZLsS4uSQbUsI95PtSpwL1FiHGvtoi87e0RTipMjKyiI2NvZ0r4YQQgghhBBCCCHESZGZmUmXLl3a/LtbglJXXHEFI0aM4NFHH3V5/OWXX2bLli3MmzfvRBdxzrHZbOTk5ODn54dOpzvdq3NcKioqiI2NJTMzE39//9O9OkKcM2TbEsL9ZLsS4uSQbUsI95PtSpwL7HY7lZWVREdHo9e33c7cLUGpsLAwVqxYQf/+/V0e37NnDxMnTiQ/P/9EFyHOQBUVFQQEBFBeXi47SyHcSLYtIdxPtishTg7ZtoRwP9muxO+JW0bfq6qqwsPDo8XjJpPprO6ZJIQQQgghhBBCCCFODrcEpfr378/XX3/d4vG5c+fSp08fdyxCCCGEEEIIIYQQQpxD3DL63hNPPMHll19OSkoKEyZMAGD58uV89dVX0k/qHGY2m5k9ezZms/l0r4oQ5xTZtoRwP9muhDg5ZNsSwv1kuxK/J24bfe/nn3/m+eefZ+fOnXh5eTFgwABmz57N+eef747ZCyGEEEIIIYQQQohziNuCUm3Zu3cv/fr1O5mLEEIIIYQQQgghhBBnGbf0lGqusrKS999/nxEjRjBw4MCTsQghhBBCCCGEEEIIcRZza1BqzZo13HTTTURFRfHKK68wYcIENm7c6M5FCCGEEEIIIYQQQohzwAkHpfLy8njxxRdJTEzkqquuIiAggPr6ehYsWMCLL77I8OHD3bGe4gz09ttv0717dzw9PRk5ciSbN28+3askxFnrqaeeQqfTufxLSko63aslxFlnzZo1zJgxg+joaHQ6HQsWLHD5u91u58knnyQqKgovLy8mTpzI4cOHT8/KCnGW6Gi7uuWWW1ocw6ZOnXp6VlaIs8QLL7zA8OHD8fPzIzw8nJkzZ5KcnOwyTV1dHffccw8hISH4+vpyxRVXkJ+ff5rWWIiT44SCUjNmzKBXr17s3r2b119/nZycHN588013rZs4g3399dc89NBDzJ49m+3btzNw4ECmTJlCQUHB6V41Ic5affv2JTc3V/u3du3a071KQpx1qqurGThwIG+//Xarf3/55Zd54403ePfdd9m0aRM+Pj5MmTKFurq6U7ymQpw9OtquAKZOnepyDPvqq69O4RoKcfZZvXo199xzDxs3bmTZsmVYLBYmT55MdXW1Ns2DDz7ITz/9xLx581i9ejU5OTlcfvnlp3GthXC/E2p0bjQaue+++7j77rtJTEzUHjeZTOzatYs+ffq4ZSXFmWfkyJEMHz6ct956CwCbzUZsbCz33nsvjz322GleOyHOPk899RQLFixg586dp3tVhDhn6HQ6vv/+e2bOnAkoWVLR0dE8/PDDPPLIIwCUl5cTERHBp59+yrXXXnsa11aIs0Pz7QqUTKmysrIWGVRCiM4rLCwkPDyc1atXM378eMrLywkLC2POnDlceeWVABw8eJDevXuzYcMGRo0adZrXWAj3OKFMqbVr11JZWcnQoUMZOXIkb731FkVFRe5aN3GGamhoYNu2bUycOFF7TK/XM3HiRDZs2HAa10yIs9vhw4eJjo4mPj6e66+/noyMjNO9SkKcU9LS0sjLy3M5fgUEBDBy5Eg5fglxglatWkV4eDi9evXi7rvvpri4+HSvkhBnlfLycgCCg4MB2LZtGxaLxeWYlZSURNeuXeWYJc4pJxSUGjVqFB988AG5ubn86U9/Yu7cuURHR2Oz2Vi2bBmVlZXuWk9xBikqKsJqtRIREeHyeEREBHl5eadprYQ4u40cOZJPP/2UxYsX89///pe0tDTOO+882Y8K4UbqMUqOX0K419SpU/n8889Zvnw5L730EqtXr+biiy/GarWe7lUT4qxgs9l44IEHGDt2LP369QOUY5aHhweBgYEu08oxS5xrjO6YiY+PD7fddhu33XYbycnJfPTRR7z44os89thjTJo0iR9//NEdixFCiHPWxRdfrP08YMAARo4cSbdu3fjmm2+4/fbbT+OaCSGEEO1zLn3t378/AwYMICEhgVWrVnHRRRedxjUT4uxwzz33sHfvXuknKn6XTnj0veZ69erFyy+/TFZWljQ4PEeFhoZiMBhajPyQn59PZGTkaVorIc4tgYGB9OzZkyNHjpzuVRHinKEeo+T4JcTJFR8fT2hoqBzDhOiEWbNmsXDhQlauXEmXLl20xyMjI2loaKCsrMxlejlmiXON24NSKoPBwMyZMyVL6hzk4eHB0KFDWb58ufaYzWZj+fLljB49+jSumRDnjqqqKlJSUoiKijrdqyLEOSMuLo7IyEiX41dFRQWbNm2S45cQbpSVlUVxcbEcw4Roh91uZ9asWXz//fesWLGCuLg4l78PHToUk8nkcsxKTk4mIyNDjlninOKW8j3x+/PQQw9x8803M2zYMEaMGMHrr79OdXU1t9566+leNSHOSo888ggzZsygW7du5OTkMHv2bAwGA9ddd93pXjUhzipVVVUu2RlpaWns3LmT4OBgunbtygMPPMBzzz1HYmIicXFxPPHEE0RHR7uMJCaEcNXedhUcHMzTTz/NFVdcQWRkJCkpKfztb3+jR48eTJky5TSutRBntnvuuYc5c+bwww8/4Ofnp/WJCggIwMvLi4CAAG6//XYeeughgoOD8ff3595772X06NEy8p44p+jsdrv9dK+EODu99dZb/Otf/yIvL49BgwbxxhtvMHLkyNO9WkKcla699lrWrFlDcXExYWFhjBs3jn/+858kJCSc7lUT4qyyatUqLrzwwhaP33zzzXz66afY7XZmz57N+++/T1lZGePGjeOdd96hZ8+ep2FthTg7tLdd/fe//2XmzJns2LGDsrIyoqOjmTx5Ms8++2yLQQWEEE10Ol2rj3/yySfccsstANTV1fHwww/z1VdfUV9fz5QpU3jnnXekfE+cUyQoJYQQQgghhBBCCCFOuZPWU0oIIYQQQgghhBBCiLZIUEoIIYQQQgghhBBCnHISlBJCCCGEEEIIIYQQp5wEpYQQQgghhBBCCCHEKSdBKSGEEEIIIYQQQghxyklQSgghhBBCCCGEEEKcchKUEkIIIYQQQgghhBCnnASlhBBCCCGEEEIIIcQpJ0EpIYQQQogz1C233MLMmTNP2/JvvPFGnn/++U5Ne+211/Lqq6+e5DUSQgghxLlEZ7fb7ad7JYQQQgghfm90Ol27f589ezYPPvggdrudwMDAU7NSTnbt2sWECRNIT0/H19e3w+n37t3L+PHjSUtLIyAg4BSsoRBCCCHOdhKUEkIIIYQ4DfLy8rSfv/76a5588kmSk5O1x3x9fTsVDDpZ7rjjDoxGI++++26nnzN8+HBuueUW7rnnnpO4ZkIIIYQ4V0j5nhBCCCHEaRAZGan9CwgIQKfTuTzm6+vbonzvggsu4N577+WBBx4gKCiIiIgIPvjgA6qrq7n11lvx8/OjR48e/PLLLy7L2rt3LxdffDG+vr5ERERw4403UlRU1Oa6Wa1Wvv32W2bMmOHy+DvvvENiYiKenp5ERERw5ZVXuvx9xowZzJ0798TfHCGEEEL8LkhQSgghhBDiLPLZZ58RGhrK5s2buffee7n77ru56qqrGDNmDNu3b2fy5MnceOON1NTUAFBWVsaECRMYPHgwW7duZfHixeTn53P11Ve3uYzdu3dTXl7OsGHDtMe2bt3KfffdxzPPPENycjKLFy9m/PjxLs8bMWIEmzdvpr6+/uS8eCGEEEKcUyQoJYQQQghxFhk4cCCPP/44iYmJ/P3vf8fT05PQ0FDuvPNOEhMTefLJJykuLmb37t0AvPXWWwwePJjnn3+epKQkBg8ezMcff8zKlSs5dOhQq8tIT0/HYDAQHh6uPZaRkYGPjw+XXHIJ3bp1Y/Dgwdx3330uz4uOjqahocGlNFEIIYQQoi0SlBJCCCGEOIsMGDBA+9lgMBASEkL//v21xyIiIgAoKCgAlIblK1eu1HpU+fr6kpSUBEBKSkqry6itrcVsNrs0Y580aRLdunUjPj6eG2+8kS+//FLLxlJ5eXkBtHhcCCGEEKI1EpQSQgghhDiLmEwml991Op3LY2ogyWazAVBVVcWMGTPYuXOny7/Dhw+3KL9ThYaGUlNTQ0NDg/aYn58f27dv56uvviIqKoonn3ySgQMHUlZWpk1TUlICQFhYmFteqxBCCCHObRKUEkIIIYQ4hw0ZMoR9+/bRvXt3evTo4fLPx8en1ecMGjQIgP3797s8bjQamThxIi+//DK7d+/m6NGjrFixQvv73r176dKlC6GhoSft9QghhBDi3CFBKSGEEEKIc9g999xDSUkJ1113HVu2bCElJYUlS5Zw6623YrVaW31OWFgYQ4YMYe3atdpjCxcu5I033mDnzp2kp6fz+eefY7PZ6NWrlzbNb7/9xuTJk0/6axJCCCHEuUGCUkIIIYQQ57Do6GjWrVuH1Wpl8uTJ9O/fnwceeIDAwED0+rZPBe+44w6+/PJL7ffAwEDmz5/PhAkT6N27N++++y5fffUVffv2BaCuro4FCxZw5513nvTXJIQQQohzg85ut9tP90oIIYQQQogzS21tLb169eLrr79m9OjRHU7/3//+l++//56lS5eegrUTQgghxLlAMqWEEEIIIUQLXl5efP755xQVFXVqepPJxJtvvnmS10oIIYQQ5xLJlBJCCCGEEEIIIYQQp5xkSgkhhBBCCCGEEEKIU06CUkIIIYQQQgghhBDilJOglBBCCCGEEEIIIYQ45SQoJYQQQgghhBBCCCFOOQlKCSGEEEIIIYQQQohTToJSQgghhBBCCCGEEOKUk6CUEEIIIYQQQgghhDjlJCglhBBCCCGEEEIIIU45CUoJIYQQQgghhBBCiFNOglJCCCGEEEIIIYQQ4pT7f6R3uJCAOtFwAAAAAElFTkSuQmCC", + "image/png": 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", "text/plain": [ "
" ] @@ -1291,46 +1337,14 @@ "# --- USER INPUTS ---\n", "# --------------------\n", "\n", - "row_number = 2 # You can change this to any row number you want to retrieve\n", - "time_pick1 = 127\n", - "time_pick2 = 150\n", - "freqmin = 2.0\n", - "freqmax = 8.0\n", + "row_number = 0 # You can change this to any row number you want to retrieve\n", + "time_pick1 = 80\n", + "time_pick2 = 100\n", + "freqmin = 2\n", + "freqmax = 8\n", "qc_test = True\n", "\n", - "# -------------------------------------------------------------\n", - "# 1. Retrieve waveform data and go through the processing steps\n", - "# -------------------------------------------------------------\n", - "st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", - " station=st_df.iloc[row_number].station, location=\"*\", \n", - " channel='HNZ', starttime=t1, endtime=t2)\n", - "\n", - "if len(st)>1: # Check if there are multiple traces in the stream\n", - " st.sort() # Sort the traces in the stream by start time\n", - " st.merge(method=1, fill_value=\"None\") # Merge the traces in the stream \n", - " #(change fill_value for gaps/overlaps)\n", - "tr = st[0] # Get the trace from the stream\n", - "\n", - "tr_trim = tr.copy() # Trim the trace to the specified time window\n", - "tr_trim.trim(starttime=tr.stats.starttime+time_pick1, endtime=tr.stats.starttime+time_pick2)\n", - "\n", - "tr_corrected = tr_trim.copy() # Apply instrument response\n", - "tr_corrected.remove_response(inventory=st_inv, output=\"ACC\") # Specify output units\n", - "\n", - "fs = tr_corrected.stats.sampling_rate # Apply bandpass filter to the corrected trace\n", - "nperseg = 700\n", - "noverlap = nperseg - 10\n", - "f, t_spec, Sxx = signal.spectrogram(tr_corrected.data, fs=fs, nperseg=nperseg, noverlap=noverlap)\n", - "t_spec = np.linspace(0, tr_corrected.times()[-1], Sxx.shape[1])\n", - "tr_filt = tr_corrected.copy()\n", - "tr_filt.detrend(\"demean\") # remove DC offset\n", - "tr_filt.detrend(\"linear\") # remove linear trend\n", - "tr_filt.taper(max_percentage=0.05, type=\"hann\") # taper the ends to zero\n", - "tr_filt.filter(\"bandpass\",\n", - " freqmin=freqmin,\n", - " freqmax=freqmax,\n", - " corners=4,\n", - " zerophase=True)\n", + "tr, tr_trim, tr_corrected, tr_filt, t_spec, f, Sxx = process_waveform(row_number, time_pick1, time_pick2, freqmin, freqmax)\n", "\n", "# -----------------\n", "# 2. Visualitation\n", @@ -1391,7 +1405,7 @@ }, { "cell_type": "code", - "execution_count": 73, + "execution_count": 71, "id": "60aa4f97", "metadata": {}, "outputs": [ @@ -1447,9 +1461,9 @@ " True\n", " False\n", " 80.0\n", - " 105.0\n", + " 100.0\n", " 2.0\n", - " 9.0\n", + " 8.0\n", " True\n", " \n", " \n", @@ -1467,7 +1481,7 @@ " 127.0\n", " 145.0\n", " 2.0\n", - " 9.0\n", + " 10.0\n", " True\n", " \n", " \n", @@ -1483,9 +1497,9 @@ " True\n", " False\n", " 127.0\n", - " 150.0\n", + " 145.0\n", " 2.0\n", - " 8.0\n", + " 9.0\n", " True\n", " \n", " \n", @@ -1500,11 +1514,11 @@ " 200.0\n", " True\n", " False\n", - " 130.0\n", - " 180.0\n", - " 1.0\n", - " 7.0\n", - " True\n", + " 135.0\n", + " 160.0\n", + " 2.0\n", + " 9.0\n", + " False\n", " \n", " \n", " 4\n", @@ -1518,11 +1532,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 125.0\n", + " 140.0\n", + " 0.5\n", + " 10.0\n", + " True\n", " \n", " \n", " 5\n", @@ -1536,11 +1550,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 140.0\n", + " 175.0\n", + " 4.0\n", + " 10.0\n", + " True\n", " \n", " \n", " 6\n", @@ -1554,11 +1568,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 130.0\n", + " 175.0\n", + " 2.5\n", + " 10.0\n", + " True\n", " \n", " \n", " 7\n", @@ -1572,11 +1586,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 120.0\n", + " 155.0\n", + " 2.5\n", + " 8.0\n", + " True\n", " \n", " \n", " 8\n", @@ -1590,11 +1604,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 55.0\n", + " 75.0\n", + " 2.5\n", + " 8.0\n", + " False\n", " \n", " \n", " 9\n", @@ -1608,11 +1622,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 55.0\n", + " 75.0\n", + " 2.5\n", + " 8.0\n", + " False\n", " \n", " \n", " 10\n", @@ -1626,11 +1640,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 57.5\n", + " 70.0\n", + " 2.5\n", + " 8.0\n", + " True\n", " \n", " \n", " 11\n", @@ -1644,11 +1658,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 55.5\n", + " 70.0\n", + " 2.5\n", + " 10.0\n", + " True\n", " \n", " \n", " 12\n", @@ -1662,11 +1676,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 55.5\n", + " 70.0\n", + " 2.5\n", + " 7.5\n", + " True\n", " \n", " \n", " 13\n", @@ -1680,11 +1694,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 55.5\n", + " 70.0\n", + " 2.0\n", + " 10.0\n", + " True\n", " \n", " \n", " 14\n", @@ -1698,11 +1712,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 55.5\n", + " 70.0\n", + " 2.0\n", + " 10.0\n", + " True\n", " \n", " \n", " 15\n", @@ -1716,11 +1730,11 @@ " 200.0\n", " True\n", " False\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", - " NaN\n", + " 120.0\n", + " 175.0\n", + " 2.0\n", + " 10.0\n", + " True\n", " \n", " \n", "\n", @@ -1749,40 +1763,40 @@ "0 640.0 HNZ 200.0 True False 80.0 \n", "1 62.0 HNZ 200.0 True False 127.0 \n", "2 601.0 HNZ 200.0 True False 127.0 \n", - "3 387.0 HNZ 200.0 True False 130.0 \n", - "4 1605.0 HNZ 200.0 True False NaN \n", - "5 60.4 HNZ 200.0 True False NaN \n", - "6 112.5 HNZ 200.0 True False NaN \n", - "7 741.0 HNZ 200.0 True False NaN \n", - "8 52.2 HNZ 200.0 True False NaN \n", - "9 55.4 HNZ 200.0 True False NaN \n", - "10 90.2 HNZ 200.0 True False NaN \n", - "11 56.4 HNZ 200.0 True False NaN \n", - "12 53.3 HNZ 200.0 True False NaN \n", - "13 116.9 HNZ 200.0 True False NaN \n", - "14 78.8 HNZ 200.0 True False NaN \n", - "15 126.0 HNZ 200.0 True False NaN \n", + "3 387.0 HNZ 200.0 True False 135.0 \n", + "4 1605.0 HNZ 200.0 True False 125.0 \n", + "5 60.4 HNZ 200.0 True False 140.0 \n", + "6 112.5 HNZ 200.0 True False 130.0 \n", + "7 741.0 HNZ 200.0 True False 120.0 \n", + "8 52.2 HNZ 200.0 True False 55.0 \n", + "9 55.4 HNZ 200.0 True False 55.0 \n", + "10 90.2 HNZ 200.0 True False 57.5 \n", + "11 56.4 HNZ 200.0 True False 55.5 \n", + "12 53.3 HNZ 200.0 True False 55.5 \n", + "13 116.9 HNZ 200.0 True False 55.5 \n", + "14 78.8 HNZ 200.0 True False 55.5 \n", + "15 126.0 HNZ 200.0 True False 120.0 \n", "\n", " time_pick2 freqmin freqmax qc_test \n", - "0 105.0 2.0 9.0 True \n", - "1 145.0 2.0 9.0 True \n", - "2 150.0 2.0 8.0 True \n", - "3 180.0 1.0 7.0 True \n", - "4 NaN NaN NaN NaN \n", - "5 NaN NaN NaN NaN \n", - "6 NaN NaN NaN NaN \n", - "7 NaN NaN NaN NaN \n", - "8 NaN NaN NaN NaN \n", - "9 NaN NaN NaN NaN \n", - "10 NaN NaN NaN NaN \n", - "11 NaN NaN NaN NaN \n", - "12 NaN NaN NaN NaN \n", - "13 NaN NaN NaN NaN \n", - "14 NaN NaN NaN NaN \n", - "15 NaN NaN NaN NaN " + "0 100.0 2.0 8.0 True \n", + "1 145.0 2.0 10.0 True \n", + "2 145.0 2.0 9.0 True \n", + "3 160.0 2.0 9.0 False \n", + "4 140.0 0.5 10.0 True \n", + "5 175.0 4.0 10.0 True \n", + "6 175.0 2.5 10.0 True \n", + "7 155.0 2.5 8.0 True \n", + "8 75.0 2.5 8.0 False \n", + "9 75.0 2.5 8.0 False \n", + "10 70.0 2.5 8.0 True \n", + "11 70.0 2.5 10.0 True \n", + "12 70.0 2.5 7.5 True \n", + "13 70.0 2.0 10.0 True \n", + "14 70.0 2.0 10.0 True \n", + "15 175.0 2.0 10.0 True " ] }, - "execution_count": 73, + "execution_count": 71, "metadata": {}, "output_type": "execute_result" } @@ -1793,21 +1807,109 @@ }, { "cell_type": "markdown", - "id": "c8c6c751", + "id": "0d39100e", + "metadata": {}, + "source": [ + "Below is the plot a retrieved waveform that passed our quality control test" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "1e235195", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "execution_count": 67, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "row_number = 0\n", + "st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", + " station=st_df.iloc[row_number].station, location=\"*\", \n", + " channel='HNZ', starttime=t1, endtime=t2)\n", + "st.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "d9a829d6", "metadata": {}, "source": [ - "Finally save the station dataframe with all the processing parameters" + "Below is a plot of retrived waveform that did not pass our quality control test" ] }, { "cell_type": "code", "execution_count": null, + "id": "39a65737", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", 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dFRQUMMYY++GHH5i/vz+/7YoVK5iHhwdzdHRkHTp0UNtnaGgoA6B2ngjfa0pVqlRhNjY2avtasmQJv/7IkSOsWrVqzN7ennXv3p0lJyfz63R99/qOqyZdaTHGtNbpikCi7xxu2rQpc3R0ZN7e3mzmzJksLy9PKw2xaCIxMTFa6QqjtQwfPlxrPRet6OzZs8zR0VFWWqdPn2YAmL29vdr38ujRI8aY9rkktG3bNq1oKrp+K+PGjWPjxo2T9Rl05TkiIoLVq1ePOTo6Mi8vL9a9e3f24MED0TwSQpRTMUbtTIQQQgghhFgCdVMhhBBCCCHEQqgwTgghhBBCiIVQYZwQQgghhBALocI4IYQQQgghFkKFcUIIIYQQQiyECuOEEEIIIYRYCBXGCSGEEEIIsRAqjBNCCCGEEGIhVBgnhBBCCCHEQqgwTgghhBBCiIVQYZwQQgghhBALocI4IYQQQgghFkKFcUIIIYQQQiyECuOEEEIIIYRYCBXGCSGEEEIIsRAqjBNCCCGEEGIhVBgnhBBCCCHEQqgwTgghhBBCiIVQYZwQQgghhBALocI4IYQQQgghFkKFcUIIIYQQQiyECuOEEEIIIYRYCBXGCSGEEEIIsRAqjBNCCCGEEGIhVBgnhBBCCCHEQqgwTgghhBBCiIVQYZwQQgghhBALocI4IYQQQgghFkKFcUIIIYQQQiyECuOEEEIIIYRYCBXGCSGEEEIIsRAqjBNCCCGEEGIh1pbOgLEKCwvx33//wdnZGSqVytLZIYQQQgghbznGGNLT01G+fHlYWemu+y7xhfH//vsPlSpVsnQ2CCGEEEIIURMfH4+KFSvq3KbEF8adnZ0BvP6wLi4uFs4NIYQQQgh526WlpaFSpUp8OVWXEl8Y57qmuLi4UGGcEEIIIYQUG3K6UJf4wrghYmJicOfOHeTl5Vk6K0SCjY0NateujWrVqlk6K4QQQgghZvNWFcbT0tIwffp03Lhxw9JZITLVr18fa9eupVYPQgghhLyR3qrC+IIFC/Dw4UN8+eWXeO+992Bvb2/pLBEJ2dnZuHjxIhYvXoz58+dj7dq1ls4SIYQQQojJvTVxxtPS0hAeHo7x48ejXbt2xbIgnpubi5ycHEtno1iws7ND27ZtERwcjPPnzyMlJcXSWSISsrOzkZGRYelsEEII+f/i4+OxZcsWS2eDyPTWFMYfP36MgoIC1K9f39JZkfTvv//i1q1bls5GsVK/fn0UFhYiPj7e0lkhEurVqydrtDghxLJyc3PBGLN0NkgR6NmzJ8aMGWPpbLxRYmNjzVYWeWsK4wUFBQBeDwwkJQf3feXn51s4J0RKdHS0pbNACJHB1tYWS5cutXQ2SBF49eqVpbNQZKpWrYqQkJAi2Y+vr69Z0n5rCuOEEELI227//v1mSTc9PR2NGjXCo0ePzJI+IVJiY2OxcOFCS2fDKIoL423btoWdnR2cnJzg5OSELl26AAAiIyPRqVMnuLu7o0qVKlrvi46ORsuWLeHg4ICGDRvi5s2b/LrCwkJMnToVbm5uKFu2LNasWWP4J1JIpVLh8ePHastGjBiBxYsXIzc3F/b29rhz5w6/bv78+bC1tUV2dja/bMCAAVi0aJFW2jdv3kSnTp3g7OwMNzc39OvXD7GxsWrbPHr0CIMGDYKXlxfef/99DB06FFu3bgUAnD59GlZWVvyx5l6pqal83t977z219Dp37ozt27eLflZdxzk/Px/9+vVDpUqVoFKptPKp5LhxeVepVJgzZ47aNnZ2doiNjUVcXJzW53JycoJKpSrxP6ri6vLly9RETQgxi/Pnz+Off/7h71/FRVZWFurVq6d2H5fjjz/+4B9cVq5cKStWNDHc8uXLERMTY+lsWIxBNeNbtmxBRkYGMjIycOzYMQCvuxMMHDgQ69atE33PoEGD0KFDByQnJ2PMmDHo3bs33/UgLCwMp0+fxv379xEeHo6VK1fir7/+MvAjmU7p0qXRpEkThIeH88vCw8NRpUoVXLlyhV/2999/o1WrVmrvvX//Ptq0aYP3338fCQkJiI6ORoUKFdCmTRskJycDAJ4/f4733nsPDg4OuHnzJk6dOoWQkBD8+eeffDrVqlXjjzX3cnV15dffu3cPx48fl/V59B3n1q1bY+/evbC1tVV2oCQ4OzsjLCwMSUlJWut8fX21Ptf27dvh7e2Njz/+WFb6z549M2pg55o1axAWFmbw+znHjx8v9gMYL1y4gGbNmmHPnj2WzgohhBSZu3fv4vbt21i/fr2i93Xu3Bl9+/YFAOzatcscWSMCc+bMQf/+/fVul5WVVezvt4YwWTeVGjVqYNSoUahZs6bWunv37iEyMhJz586FnZ0dJkyYgMLCQpw7dw4AsHPnTsycORNlypRBjRo1MGbMGHz//femyppRWrduzRfG8/Pzce/ePYwePZpf9vDhQyQmJqJZs2Zq7wsNDUX79u0xZ84cuLi4wNPTE+vWrYOnpycfpm/NmjUoW7YstmzZggoVKgAA/Pz8FBWYpk2bhgULFsjaVtdxtra2xpQpU7Rq2o1RpkwZ9OjRA6tWrdK7bUxMDMaMGYMdO3bwx0IfHx8fVK5c2eD8TZ8+HRMmTDD4/QCQk5ODDz74AMHBwUalY27Pnz8HABoIS95oycnJapUZhJCSQ07Lbe3atd/IgAEGFcanTZsGb29vdOzYEf/++6/e7SMjI1GzZk21GteAgADcvn2bXy+MciJcpyknJwdpaWlqL3Nq1aoVX/D+559/UL9+fbUCenh4OBo2bAgHBwe19508eRI9e/bUSq9Xr158bTS3jTHNX0OHDsWTJ09k3YCUHGdT+fzzz/HNN9/wrQFi8vLy8NFHH2HMmDF8tye5TPX916tXDz/++KPi9xUWFgIAEhISTJIPfc6dO4d9+/YVyb6IMidPnsS1a9csnY23Wr9+/dCpUydLZ8NivvzyS3z44YeWzkaxlZ+fj/nz579VgxtLory8PKhUKvz6669a6+Li4oo+Q0VAcWH8yy+/RExMDOLi4tCxY0d06dIF6enpOt+TkZGhNYOii4sL39SguV64TtOyZcvg6urKvypVqqT0IyjSokULxMbG4smTJwgPD0fLli3RsGFDXL9+HYwxhIeHo3Xr1lrve/HiBXx8fLSWly1bFomJiQCApKQk0W2EYmJi4Obmxr/q1q2rtt7a2hrz5s2TVTuu5DjLUbduXbW87d69W2sbPz8/tG3bFsuXL5dM57PPPkOpUqUsOsr/9u3bmDFjhsX2L1ebNm1kNeWRote+fXs0btxYbRljDMeOHaO++kXkbW/5+fTTT/muo1Le5nPxzz//xKJFi2gSuWIuMzMTAPDtt9/i6tWrsip9SzrFhfGmTZvCyckJ9vb2mD17NpydnXHx4kWd73FyctKqwUxLS4OTk5PoeuE6TXPmzEFqair/MvbiW6pUKeTl5akty8vL40Pqubq6IiAgAOHh4XxhvHTp0vDz80NERATCw8O1+osDgKenJ54+faq1/NmzZ/D09ERhYaHkNsJjUaVKFZw4cQJxcXFISUkRrckeNmwYEhIScOLECZ2fVclxluP27dtISUnhX4MHD9bahjGGIUOG4NtvvxWtHT98+DC2bduGPXv2wNra8hPCZmZmag1MfRO8iTfgly9f4u7du5bOhk4nTpzAhx9+iB9++MHSWXkrvInneUlREo4915LJ/WtK6enpePLkicnTNcS2bdtw//59S2fDJJo0aYJ33nnH0tkwO6P7jFtZWen9Efr7+yMqKkptdsmIiAi+ltff319tshvhOk22trZwcXFRexmjUqVKWqGYHj16pBZLkuuWcunSJTRt2hQA0LJlSxw8eBD37t0TLYy///77OHjwoNbygwcPonbt2njw4AHatWuH3377Tev4CX9E3DpdNdg2NjaYO3eu3tpxJcfZlKpUqYI2bdpg9erVassfP36MESNG4LvvvhONwGMJPXr0MHtri7kVFBQgISFBtKD6JkUEaNGiBerUqWPydBctWiQZeSEmJgYqlQpXr16VlRb3APrixQuT5Y8QIp8pHhLkXDffe+89lC9fXnRdQUEBwsLC+PlOvLy8TBI8QIo50ybmoagwnpKSgj///BM5OTnIzc3FmjVrkJycjGbNmoExhuzsbH6GL+7/AFCrVi3UqVMHy5cvR05ODjZt2gSVSsV37wgKCsLKlSuRmJiIBw8eYPPmzRg2bJjpP60ILizhs2fPkJ+fj59//pkP08hp1aoVfvzxR5QvXx6Ojo4AXhfGv/rqK9SqVQuenp5a6c6fPx9//vknli1bhrS0NCQlJWHKlClISEjARx99hPT0dEybNg1Pnz7FuHHj8N9//wF4fbP//PPPtdLLysrS+TlGjBiB+Ph4XLlyBYWFhXj58qXWNvqOc05ODh+yUfh/Y3CtDhMmTMCGDRv4CDoFBQUYNGgQBg0ahN69exu9H1Ph+vOXKVNG1va6LvTZ2dlmi+mrS/fu3VGxYkXRgmpJqL2Sy1y14vPnz0evXr1E1924cQMAdEZ74rYhxFK+/PJLs6aflZWF0NBQtcnYLP2gHxcXh6ioKMn15s6frvFXu3fvxoQJE/jxPklJSfjf//6nKH3q5256CQkJxeaeqKgwnpeXhzlz5sDLyws+Pj44dOgQjh49CldXVzx69Aj29vYIDAxEXFwc7O3t1Qq0u3fvxvHjx+Hm5oZvvvkG+/fv57slTJgwAYGBgahRowZatGiB6dOno3379qb9pBJCQkJQv359NGnSBF5eXlizZg0OHz6sVsBu3bo1nj9/jhYtWvDLWrRogcTERL5WnIubzQ0u8Pf3x6lTp/DXX3+hfPny8PLywh9//IHTp0/Dy8sLwOsC3/nz55Geno6AgAC8//77mD9/Pl/7DrwOZt+mTRsEBATwsbjFau1sbGwwZ84cJCcnIzk5GdHR0Th16pRaNxR9x7lWrVqwt7dHTk4OateuDXt7e37d+PHjMX78eMXHl6uJr169Ojp37szXDPz9998IDw/Hd999pxVr3JD9mBrXr98YoaGh6Nu3Lx4+fGiCHOmXkJCABg0aiPYZNeRGxBhD27Zt8ffff5sie4oVFhYiJCRE9MFSjlevXmH9+vX8xfb8+fNwcXExyUOmLu+++67kuuPHj5eYGRBXrVqld74BXb7//nvJmNMRERH45JNPDE47IiIChw4d0lpeXG6sRWHJkiWSA/c153cQMkWhdOPGjViwYIHe/ummcuPGDdy9excNGjSQHCxfuXJl0WhuxmKMGX1ecX2gDb32XLp0CU5OTmohlYujfv364bfffjNZeub8PScnJ6NixYpYuXKlSdOdPn06Bg0apPyNrIRLTU1lAFhqaqrO7f7991/WqFEj9uDBA35ZYWEhy8jIMHcWGWOMXblyhXl5ebErV66wK1eusKtXr4puw704KSkpWsvk7OvKlSssJyfHJHk3BpeXu3fvGvT+2NhY1qhRI/bPP/9orQPAjDmFhe8HwMqVK8cvk5tuZmYmA8DatWuntW7UqFEMAIuMjDQ4j7ryrGn58uVq+Rdud+DAAQaALV++XPa+CgsLGQBWoUIFWXlKTExUW/7777+zR48eyd6fpps3bzIALDg4WOd+pcyePZsBYNeuXWOMMTZw4EAGgMXGxurcLwBWs2ZN0XX79++XPI5ix/3HH39kAJi/vz/bsGGD0eesMZKTk1lhYaHs7QGwRo0aGbw/sc96+fJldv36ddawYUNFxyE3N5elpaWx+fPnszlz5kgex2rVqjEAbNq0aRY7zkVF7Bhwy6ysrCTf07BhQ6P3zV1rfv31V37Z77//zgCw+fPnK05v5cqVrEGDBpLrhb+tL7/8Uuc2mq5du8YAsPHjx7PDhw8zAGzBggV688Sld+TIEdagQQO955Ou33ZYWBgDwLZv385v6+XlpTcPnE2bNjEAbOvWrbK2b9q0qVZ+CgsLWUFBgex96lJQUMAAsCFDhqgtB8AcHBwUpTVs2DBWo0YNtXMzJSWFAWAffPCB1ufQdd4rMWXKFMXvk7O9cBu55VPGGDNZnPGSggmetBITE3Hnzh29XUBMsc969eph165dxf7Jtrhhb1FNV1EwpFZMbthGzcFLnTt31oouUlBQgFmzZolOBKWJ++4NHWzF1UZxrTGmwOVJ6XGMjIzExIkTJdcfOnRIreVNc1C5sV69egUPDw/FUSRMeeyA1wEAdLUcSOnTpw9cXFywcOFCLFu2THI77vv59ttvDc6jPqb+bsyhsLAQBQUFJvv+GGM4cOCASa7Ht27dQrVq1fjfJwDMnDnTbN27jG0J6Nq1q4lyYhoZGRlqx06uKVOmoFSpUibJA3deiU2GpC9vmt0Lv//+e8nuRYZ+d7m5uXpbpKUmqLSUN64wnp+fz/dV5+Tl5fFRS4QRPbgBpaa+4Wh68uQJIiIi0K5dO7VJZq5evVpsRl+bUl5eHuLi4kxy4ea+L66vvjkVVZ/HU6dOYcOGDSZLLzIystiGftLs7nPjxg2sXLlScX9JAPj999+xZcsWU2VNJ6XnrlToTrnn1CeffIILFy4AAPbs2YPSpUubdNAnd4M8ffq0ydIsSocPHy7S/UlV0Ny4cQOlS5fGpUuXZKVz+/Zto66D58+fh0qlMmimYWtrazRo0EBruSH5OXDgAPr06aNzjgO56X799deIiYnhz3dLUHqt57a/efOm6Hp9119TVio5OzujYsWKit/33XffAXgdpKAoKwVfvnzJ/5727duHOnXqmGT/iYmJkg/GkydPRvXq1RWl9+rVK6hUKpw8eVJr3cqVK2V1Z4mMjFS0T6E3pjDORS5p3rw5P7nQ+fPn4eHhgRkzZqBTp07w9PTEoUOHiry2lRucKbZfbmbEkiIhIQE3btzQeQwTEhLw/Plzo1scGGP47bff4OHhAT8/P6PSMhddx0FqXbt27YzqLwuo11bXrVvXLKGfhPnfuXOnSdNWcjPk8tGlSxeMGTPG4H3q+q4++ugjRQU+zXNb6uHKkGvN8ePHAfzfg0x2dnaJu05YGvfwYUgN4r59++Dg4MBft4W4wtg///yjN53IyEjUq1dPrd98QUGBojxxNY8xMTGy3yMUERGhtYwL3fr48WPZAz25cRuGPBRI6dGjh8nS0sXQ1iwxnTt3Fl0u9/orzIOh43iA19/H119/rRUJTo5Dhw5h6tSpit/34sULjBgxQquyUx8PDw++1Y+rARf7bSlVpkwZyfFlch+WhbgK223btmmtmzVrFmbNmqU3DUMqmTiWD+xsIsOGDcPQoUPVZsAbO3YsXr58id9//x3A64gjq1atwn///Yf33nsPmZmZSE1Nxc2bN2FnZ6dof7m5ucjNzRWN052Tk4OCggJ+Vk6uueT27duwtrbGw4cPoVKpwBhDqVKl+AumsFnl3r17AF7fTLiThFumj+b+TIlL+++//4abm5vW+pycHL6g+O+///L/t7e3lx0ODnhdALl48SKuX7+Ozz77DFZWxfu5UdeF1Rw17t9//73OQVqc1NRU7NixQ1G4xufPn+PRo0do1KgRv4z7fSUmJiIjIwNVq1Y1KN9SNm3aBBsbG4wcOdKk6QKvH1yaNGmic5u9e/fi8OHDeiMWcDfD0NBQhISEmCyPnIKCAq1J1Hr06IE///xTb8H+2rVreP78uegsttx7uTkLhKFbLaGoKkSCg4NRpkwZ2YXOy5cv85NqPXnyRDJUnS7Jycnw9PTkQ80KQ9WOHDkSO3futGj3O+4hb9iwYTh16hSmTp2K0qVLG50ud51bt26drEnoDHlQMrXc3FysX78e06ZNM1kXDrnknAOvXr3CiBEjRK9fkyZNwtq1a/HgwQOtdeboertq1Srs2LEDI0eOVOtSZ2Njg/Xr16st0yS3C5LmvVLfMeIqLt4Eb0xhXIxmqKFu3brBx8cHBw4cwI8//oiYmBg8f/4cVapUgaOjI0qXLi274PTvv/8iPz8fDRs2BPC6H1d8fDzq1KnD15pw67i/AwICYGNjg3/++YcvjNvY2CAgIEBtO+F709LS+B8bt0wfzf0JpaSk4OHDh6hfv77egjpjDIWFhWoXKS5tb29vvoCXmZkJa2trlC5dWrIPvrOzM2rUqCEr/8DrH3jt2rXxxRdfiEbWMcf085o//NTUVLi6uhr0XkOoVCps2bIFH3/8sdFpcWbPno1NmzaJNrE9efIELVu2xIULF1C2bFl+efPmzRETEyPafat69epIT083eWFi3LhxAGCWwnjv3r3V8sv9xnNycrBmzRpZNR5FZdy4cfjll1/UlnERM16+fAl3d3e1dYwxREVFoWbNmnz/fMYYzp8/j/fee0/repaZmYnGjRsbVNPOGMOFCxd03nTlKqowbTt27ACgP9TfvXv30K1bN3Tr1s3ofUZHRwN4/YCnac+ePUanD0BR7eTz58+RkpKidf3lmviF50hsbCxSUlJEu7eI+eabb/D++++rfZ+pqamy82YIU1x7uGvb1q1bMWvWLFSpUgX9+vWT9d4XL17wEdEAZV0TNPP+/PlzPHjwQPI39fvvv2Pfvn2iLRzA/51rmoTziUjt21Ty8/MRHBxskocZU+VRVzonT57Er7/+arZ9G+qNLYxL9SV6//338f777wN4PWhk1apV/In+ySef4KuvvgIATJs2DWvXrpX8gmxsbJCfn48zZ84AAAIDA5GYmIj4+Hi+lp1bx13sVqxYgZYtW0KlUqF06dLIzc2Fj4+P1nbC9/7xxx980xi3TB8unZ9++gm2trZqMbPHjBmDf//9F59//rloDZpQ586d8ccffyAvL48vuHNpjxw5EuvXr+eXOTk58SEaxS4cjRs3xqlTp2TlX8qFCxdQqVIlVKxYUav2UJe8vDzMmDEDCxYs0CrMCGn235dzw+OOh1g/M47UOZSQkIAKFSqoLQsLC5NVGBdL87PPPtNaxtU+iQ2C/O233xATE4OjR4+iX79+qF27Nv7880+dTeK6jrucB1lDmow1t92+fbvWjJYFBQVITk6Gt7e3ZDrceblx40bcvXsXbdu2xZw5c0TjsSttzZD6juX2jeT2JzYgipOZmal1/u7cuRPDhw9X+82dOXMGbdu2xU8//YQBAwZopcP1tdR8UOfk5OTwXf2ENVpHjhxB9+7dcfjwYXTt2hVnzpxBnTp1ZMfkFzLX7ICGducICwvDgwcPcPnyZZPlRVfcaaFnz55hz549OrsOaJ5fwsJEbm6uzppt7kF706ZNoutjY2Nha2sLX19fvsVLc39ffPEFgNcF0Xbt2qFZs2YAXt+fGjRogJiYGL4FWmjz5s2ws7PD0KFD1fJrKdzvbMGCBQgNDeXHjckdlPv06VN4e3vj7t27qFWrFgDg3LlzBuenbdu2uHPnjt6CILdezsB3TZ9//jmePXumtuz8+fO4ePEimjdvLjsd4T1O7PpojrF35mhV7tKli85z0FLx8ot3278RBg4cqLVM84TXPOjCC7HSqANShCewcKIQuRckqRMjNDRU72jghQsXomzZsqL7+vDDD3W+d+nSpfjjjz8AQHTiGpVKhcLCQr7vl64ZQuXKycnB119/LXphKigoQIsWLeDv7w/g9YAiucLDw/HVV19h/PjxUKlUsm+4z58/R/PmzdXiXD9+/BgqlQpnz56VvX8pSgfhGNI/UFdzpfA4R0RE4L///uMH+RjCXDULmgWskSNHak26M3fuXL2FQq5w9MUXX+DgwYP8w9ePP/6ota3UZxFbzhiTbKlZtWqVzjxpUhqHmJtz4KOPPuKXcbXeXJ7WrFmD+Ph4tfdJdbGJi4uDnZ2dWqxg7kGOO15ct7m2bdvyFRu5ubkW6deen5+vNrOzobjv9fz580anJZW2lI8//hjTpk3DunXrZPfJFqYp/O51karBrVmzJipXrqzzvVxf3x9//BGnTp3CkSNH+HXc71Psc44dO1ZrAr/t27fLyi/Xt92UDL1GaV6DuPlExMht3VOpVDonKQK0a74NiVO+ZMkSbNmyRetesGLFCkXpKHlQPXHihKK0Le3x48dG37+2bNmiVlZSmt4bWxgXHhSlTzpS/ZtiYmIUBYi/fv263smLpArl+i5ECxYs0DsIgyuwFBQUIC0tTdHkLfPmzeP/X1BQgBMnTmjVHixcuFCrZtcY69evx6RJk0Rr0LkmX65mdu7cuVrb/P7776KD8LgHBW7wldwWhp9++gmXLl1Sq/Hh+u1zXQfEfnA5OTlqA1TknH+6BoQlJSVBpVIZFK6Na64U5lNzIhep/Jmz2U5J2txDoZSZM2fqbJmQwkUr0RUhQg6p36quEHyaDHnQEtJVCzt9+nStAptYDfLMmTP5YzFp0iR+ua4INty5NHToULWuTkqpVCrRlh19OnbsCDs7O7x48ULn7+ynn34SXX7o0CH4+PiIRsPQd46mp6dj8ODBSE9P52ekLiwsVDyom3uYmDp1qtpxB+RdO7gHJ6WD4owZQGhKwt839zv4+eefUalSJdEJ7vTle/jw4Qa1bC1ZskTyfWlpabLT0vWw8erVK0U1yJ9++ikAy9TW5ufn44cfftD6znW13nE6duyotUwqEo0u+s63x48fq137oqOjJVsqZs+eLXkcK1WqxN+DDT3WmsEFuEoLud7Ywrg+48aNkyxYS8XB7du3L9+/VM5Fievyoosw1KKQkgF3UoQ33EGDBvGzhWpKSkrSOcvho0eP0LFjRyxcuJBftn79etGLjtRxOX36tFqc5fj4eK0aLa5LhViToa4agePHj+Pnn39Gly5d0L17d631ho7aN/TGM2LECEUPKXfu3OEHS3L7zM3N5R88uJus8EFDad64aavPnTuHqlWryiq8tmzZUtE+pk+fLrpc2EVG34Xu+vXrivYJaNc+Z2RkQKVSyQ6dZkyXGUD6uxB7YCwKXH6EszPKaYZftWoVZsyYAUC95k9X+FVuX2JdFJT65ptv+P+/fPlSVpM8F6pR3+D2gQMHitZmhoaG4tmzZwbFst+7dy/27NmDvXv34ptvvsH06dONPg6aLYxKfue1a9c2at9yKCmUyiWMUMJFJeEejgyJuvH999/L3lb4e+YeOrOysswyJgkAJk6ciFGjRpklbaWuXr2q87qwadMmDB06FCdPnlSryNu8ebNB+2vQoIFRLeiMMdFoWvXq1eP/7+fnhzZt2oi+n4t4JXW9N2a2YVN4awvjYv3nxC583BekUqkUFxSkBl2YktyLNTcIVOxE9PLygqenp+R7uUKyZg2g0tq8sLAw/v++vr6SfaOV1gB/8MEHon1jjcXVxt+/f5+/Wcs53kpraTUfyHJzc9GyZUu4uLgoSkcXrqWDa3WIjo5W678t9rn0hYe6fPkyH1IUkG6aLFWqFH+DFO5TbFISqUHKYlOfCwkj9XDnpTCyktjDHPedcr+J3Nxc0cgEQtxDjZAhNSlyCn937941qJAYHh4OAIqmKtfVh1uqa46UKVOmGN1M7enpqTZIzhR0FTyMrXnkat7F9pGXl6ezssMQwuPP/V/fOBpDPuOuXbvUajl1XfNNUXsrZ/BnfHw8Xr16pbfFTIxU98KbN2/y9/oePXoo6kKoOX5FjPD7MqYlzpQtE3FxcQgNDZVcz30XmZmZkhV5ujDGtH4Pmn/r6zosFB0dLXueCamBrWL75Ai72ZliwizqpmJiYiGFoqOjJU8a4ZOf5pfx22+/mby56dixY8jJyeFv2p9//rnWNmIXbl3bFBWp5iQl/cHFmGo0P1dACQ0N5QcwKWFIQerOnTvo0aOHojCQumgWsvRFsVByfjZr1gy9evUSXacZtuzo0aPIzs5W+1wNGjSAvb29rH0ZG5NYLK67sBUCeF3Q1hfxR6xbmSFhN+Vc6Pv06SMaOlVI7PsSa5HTV8MoFluXIxamTld/0/Xr14s2U4uRevixdGQDpXS1wqxduxYeHh4A/u/78vLy4sPEyvmse/fu5Wtrnz59ikGDBvHrGGMmGXh68eJF/v9cS8OwYcNkP1hpDhKUQ3M2Rjm++uorTJw4EZ07d0ZWVhaaNWsmOu5DjHBMTEFBAX/shdF2lD5Icg+/JZFUn/UXL17w3SwM/S06OzvrHFh8584drbjtuvalpHDMlcMKCwv5ihjuniTVNXj16tUAXv9GmzZtqjfa3IQJE4wuqwi9dYXxCxcuoEOHDrK3F5sFT9cENEuXLpVcJ6ypk6Nx48Z6C5apqamws7PjwwotWbJE0T6UkPOjtNRIZKHs7GwwxrB48WK1GSC5vGl+DrEQZJq4ZlN9n+/Fixf8EzYXVg143fQp9fAh3H9mZqZkjY+chypDnDhxgr+RKh1wKGbHjh2iM6aOHTtWbQbaiIgI0ZpEqSgfcokdG6WFFSXH15hzPiIiAtOmTZNcrznoKisrS60GR24+xWr0lXj48KFajR53EzL2POzQoQP/GcW6QKxZs0ZRDb8uM2bMgEqlUqsw0dVsru+ziY3zkBunPikpCQEBAXB3d1drQZWqKfziiy/46FfC7kccLrqJLpoPZJrH+7333pNcJ8fw4cMVv0cskpGQ1OBobllhYSEuX76s1gVSF+FvVWoCHzFKK1YuX74MNzc3vfG+5f4upe5dgHgYQ7mkrove3t58tDRD6fst9OvXT2+ccOG98Ouvv1ach6lTp8qu8BGSM6lXWFgY+vTpozhtKW9FYVzYtDZ9+nStSAycK1euyI6iwv0oNH+kwsKFsTeqa9euqQ1mfP78uUmiluiSmJioNbhr0aJFJklbX0B/Uxbk4+Li8L///Q9169bVu63caATA/+V58eLFov3TpSbD+eSTT9CmTRutp/LVq1frveiJHRdja2OEXY5++OEHk15UxGqpVCqV7DB/xhYcxZgj7m5hYSF27NhhUDp37tyBSqVCp06dFEVu6tq1q6KBkroG5x49elR23qtXr87fOA3tciEWzSMnJ0dnnObp06frjfwEyLt2cF2qnJ2dkZeXh1evXvEtR1zfc7mOHz+OjRs3ai0fMmSI7DQyMzORkpIiu0aZO+6a0Unk0hzEasiAuqIWExNj8KyGT58+VevWoHmOnDhxQrSfsCnuQxs2bEBqaiqOHj1qkvS536lYgIL69esrz+D/x5WNAgMDRSfxA8S7+Mkdj2MosXuFIYVxqYHbReGt7qaiGb6Lww0UlNP0r6uWSkg4aYCQ3OYyod27d8uaXbNs2bJaNSBKQx3puxCUKVMG1apVE10nFihfk64bdUFBgVatb2ZmpqwQVrt379a7jRD3kCSsGed8+umnivvzi0Wi0bwwjh49WvRh6aeffpJskuYGzMkhzLMh/SWFFi5ciODgYIPfL9XHWKpgpdkvvTi0oOga6PXgwQPRGnrhZ/jpp58wYsQIg/qA/vzzzwB0D44UI3w4P3LkiMHh33766Sd07doVW7duVXwNMXSSJGGriC7m6oMvVLp0ab0T8Ijlg+ueI3WvAUwXQz03N9fguOn6LF++XOf61NRUPHv2zOBuje3bt1f0YCJl7Nixol2ouP3renAfNGgQxowZo7NF0VQhjKWITSQkVmP866+/omnTppLdRrjuPGIt9aZw9uxZyVZ4scqqvn37miUfwOvuUnK7ucllqtY1jpzZr5V6owrj+m6K+i5AhtAs7IkV/vRZtGiRZOFQswZUs7Ajd2Q2VxgURjB5+fKlohuxnFnz9I1CFzYNxsfHo1y5cnojxxQWFpokbqnwQiyna4oQd/PVVVCQitEtHNC5c+dORfvVx1J9a7kJLzTpaokQPnDKybehXa5MdUzEbvTCtLkHL7HfxeDBg02SByHhJF2RkZHo1q2brMFjuowePRpBQUGKj5lw+7///ptvERQ7Zl27dpVcZypr1qxR/B5Daly5MGq6jpdwghulhN0agoODRWtWTUFfYaJjx47w8fGR/Jz6HphOnjypuAJFCe4hlqvNFcun2IBWU10blIy92blzp2jFh7Cs0Lt3b1y5cgU1a9ZEu3btcPnyZdEHTKnKLpVKZdCEQIYypJwDqI81kfouDBl7oI++MNBKCcuSSkJG62JwYfzChQuwsrLC4sWLAbwu5I0ZMwbe3t7w8vJCUFCQ2o/h2LFj8PPzg6OjI3r27Kl2UiUmJqJr165wdHRErVq1JLuR6GPuLhy6mKtQpKQ/mK7aIe5GKBww4+HhgU6dOslOX9/NVO5TuzCfXN/ECxcuqIVOHD16NH+D1xdJQ4zYhUlO64M+mt+znALG2bNn+YuzWGgmY4hNyFQcKQ0bNWrUKL72WIm6desa1Wyrj1ghRGyZIbWu+givBXK6X8l17tw5xTdA7qE7OzsbrVq14guRYq0JXIFSrObNVNdNQ/rNKo0DbAr6BqEJzwtzdwUoSrrGUmmSc05oFrTFCqma6TDGZP3u5GzTu3dvneuF44WUdis6deoUmjVrJvqAqWsMmZyWazmUTgZkSqZuMeXG1yhprRLmQRhlR4qpWisMKowXFhZi2rRpapFGvv76a/zzzz+4e/cuYmJi8Pz5c/4H+Pz5cwwaNAjr169HYmIi3NzcMHnyZP69EydOhI+PDxITE7FixQoMGDBAMv62LvPnz9e5Pj09vdiO0jdFvgypHRIOKhSLxKKEvgsUR+wm06JFC7Ub1XfffYd27drh5cuXkvGrdeFGRksx1Xkwc+ZMWduJTWQkx9atW3UWGixRoDCE0oKFrugeuujqf2yIL774gp9tMDk5WXSQmiHRVIqyFksOpd0hzDE7ojHM0Z1D7jVi9OjRsraTU9AQDvA09blsScJJ5IoKF4pYacxwuV2eoqOjRSclMhW59xaOMMysEpqfd/bs2Qalo1Rx6KqoT2ZmpuQ4MI7U4OGdO3eKhtCWojt2i4RNmzahWbNmak9psbGx6Ny5Mx+vulevXny/1gMHDqBx48b8QJzQ0FDUqVMHmzZtQkFBAX799Vc8fPgQDg4O6NGjBwICAnDw4EHRaWVzcnLUulooGfUtDN2khK4mmc2bN2Pu3Ln8pC1Cci/m9+/fV9SkJ9UCIBUmSph/XRcaYyOxyB1UKPdiFx4ejnbt2vFdbJTQd+y5Fh0lVCqV1qBNubN5Gurjjz/WO817cSPWpUhXn3FDpnguKtyskIwxrSgW3OcxpDAuNvjPUorqpii2H80aeUP78JqjC8ykSZNw6dIl0WuJuR9GxEJRFqfCizERPOTQ91nl3EO4740bDGjq46crqpolGFrBNHbsWBPnRL+RI0fCx8dHa7m+GWyLgq4ZVMUkJCSItlAr7Veu+C6SlJSEtWvXasWeHT58OMLDw/H8+XOkpqZi//79fBeIyMhItabjqlWrwsbGBtHR0YiKioKTk5NakP2AgADJ6Z2XLVsGV1dX/mWKmSr1adeuneQ6rkZGadhCocLCQkXxKqWiC0g1gQ4cOJD/vzn7bcqlZFY1QwLv5+fnm+0HrdllRnMWUXOQ01e/OFE6MY4hoaeKmkqlkoyJXZwKSYYy90OlLsKHMbkD6IsCN+kVN55HeC1KSUkxyz65c0nquvImnGv6MMb0Xr+V1HYbUvFSEjHG4ObmprhbjHCsU1GVD6T6vl+/fl12C3tRkPt7M8WAVsWF8Xnz5mHq1KlaYXD8/Pzg7e0NHx8fuLu7w9raGuPHjwfwuiZXczZBFxcXZGRk6FwnZs6cOUhNTeVfuka1m4qhM2maq0AoFa9aqmlfWDN+48YNc2RJEeHDgT5iNTD6asqVzJ5mLKWzkJrSTz/9JDqZTXH0JhQiNLtxcbHnDY0uUlyYY8CUGKnrqCGz+xWlgIAAAIC/vz+/TGriEFMRm2zO0jWGRcnUM5a+LVJTU40KEmDsHA9vmjZt2hTZvhQVxq9fv44rV66IDkILDg6GjY0NUlNT8fLlS7i4uPA3KScnJ63uJGlpaXByctK5ToytrS1cXFzUXkS3N6EgJFS9enVLZ6FYUPJQYwr6JujQRfMcNCRmbHGzYcMGS2eBFCFThSzU5Y8//pCcyru49dM3J/ptKVfcxqG8CcQmpTMXRX3Gz5w5g3v37qFChQoAXj+FWVtbIzo6Gjdv3sTq1avh7OwM4PUIYm7Qhr+/v1rYwdjYWOTl5aF69eooKChARkYGEhIS+HQjIiIMntiAaHubalQ4b9JnLi7dVAyZuppTHLpHEVISGNoSWxLImfhLqiLOWObu525pho6JI8UEU+DVq1fsyZMn/GvAgAHs008/ZS9fvmTDhg1jQ4YMYa9evWIZGRnso48+YkOGDGGMMfbs2TPm6urKjh07xl69esVGjBjBgoKC+HT79evHPv74Y5aZmckOHTrEPDw8WFJSkqw8paamMgDF8vXuu+9aPA8AWPXq1S2eh6J+9e/f3+J5oBe96PX6dejQIYvnwZhX69ati2xfv/76q8U/rzle7HUNCb3o9da9UlNT9ZZlFXVTcXBwgI+PD/+yt7eHk5MT3NzcsGLFCmRnZ6NSpUrw9fVFTk4OVq5cCeD1rI67d+/GxIkT4eXlhaSkJLUpwDdu3Ij//vsPnp6emD59On766Sd4eHgoyVqx9CbVzpY0dOwJKT40oxCVNFLjdMzB0LCexZ1YP3hCyGsqVsJLLWlpaXB1dbV0Noo1X19fxMXFWTobRapv37745ZdfLJ0NQgghhLzFUlNT9Y5vpMI4IYQQQgghZiCnMG7QDJyEEEIIIYQQ41FhnBBCCCGEEAuhwjghhBBCCCEWQoVxQgghhBBCLIQK44QQQgghhFgIFcYJIYQQQgixECqME0IIIYQQYiFUGCeEEEIIIcRCqDBOCCGEEEKIhVBhnBBCCCGEEAuhwjghhBBCCCEWQoVxQgghhBBCLIQK44QQQgghhFiIwYXxCxcuwMrKCosXLwYAbN++HdbW1nBycuJfcXFx/PZXrlxB/fr14eDggMDAQDx69Ihfl5WVhaCgIDg7O8PX1xd79uwx4iMRQgghhBBSMhhUGC8sLMS0adPQpEkTteVt27ZFRkYG//L19QUA5OTkoE+fPpg8eTKSk5PRqlUrBAUF8e8LCQnBixcvkJCQgL179yI4OBj37t0z4mMRQgghhBBS/BlUGN+0aROaNWuGOnXqyNr+9OnTsLW1xejRo2FnZ4d58+bh2rVriImJAQDs3LkTn3/+OVxcXNC8eXP07NkTu3fvNiRrhBBCCCGElBiKC+NJSUlYu3YtFixYoLXu4sWL8PT0hL+/P8LCwvjlkZGRqF+/Pv+3g4MDqlevjtu3b+Ply5d4+vSp2vqAgADcvn1bdP85OTlIS0tTexFCCCGEEFISWSt9w7x58zB16lS4ubmpLQ8MDERERAR8fX1x5coV9O7dG97e3ujbty8yMjLg4uKitr2LiwvfnQUAnJ2dtdaJWbZsmeiDACGEEEIIISWNoprx69ev48qVKxgzZozWuqpVq6JKlSqwsrJCs2bNMHnyZOzfvx8A4OTkpFWDnZaWxg/0BID09HStdWLmzJmD1NRU/hUfH6/kIxBCCCGEEFJsKKoZP3PmDO7du4cKFSoAAFJTU2FtbY3o6Ghs27ZNbVsrKyswxgAA/v7+2LhxI78uKysL0dHRqFu3Ltzd3eHj44Nbt26hZcuWAICIiAjUrVtXNA+2trawtbVVkm1CCCGEEEKKJ6bAq1ev2JMnT/jXgAED2KeffspevnzJjh07xp4/f84YY+zatWusQoUKbM+ePYwxxrKzs1mFChXYd999x7Kzs9m8efNYq1at+HRnzpzJOnfuzNLS0tilS5eYu7s7u3v3rqw8paamMgD0ohe96EUvetGLXvSiV7F6paam6i3LKiqMaxo+fDhbtGgRY4yx6dOnM29vb+bg4MBq1KjB1q9fr7bt5cuXWUBAALOzs2OtW7dmsbGx/LrMzEw2ePBg5ujoyCpWrMh27dolOw9UGKcXvehFL3rRi170oldxfMkpjKsY+/99SUqotLQ0uLq6WjobhBBCCCGEqElNTdUKYqLJ4Bk4CSGEEEIIIcahwjghhBBCCCEWQoVxQgghhBBCLIQK44QQQgghhFgIFcYJIYQQQgixECqME0IIIYQQYiFUGCeEEEIIIcRCqDBOCCGEEEKIhVBhnBBCCCGEEAuhwjghhBBCCCEWQoVxQgghhBBCLIQK44QQQgghhFgIFcYJIYQQQgixECqME0IIIYQQYiFUGCeEEEIIIcRCDC6MX7hwAVZWVli8eDEAYPv27WjYsCFcXFxQuXJlLF++XG37K1euoH79+nBwcEBgYCAePXrEr8vKykJQUBCcnZ3h6+uLPXv2GJotQgghhBBCSgyDCuOFhYWYNm0amjRpwi/Lzs7G119/jaSkJJw5cwbbt2/H7t27AQA5OTno06cPJk+ejOTkZLRq1QpBQUH8e0NCQvDixQskJCRg7969CA4Oxr1794z8aIQQQgghhBRvKsYYU/qmsLAw3LlzB6mpqfDz88Pnn3+utc3cuXORnp6Or776Cn/88QcmTpyIBw8eAAAyMzPh5eWF27dvo2rVqihXrhx+/vlntGrVCgAwYsQIVK5cGQsWLNBKNycnBzk5OfzfaWlpqFSpktKPQAghhBBCiFmlpqbCxcVF5zaKa8aTkpKwdu1a0YKy0NmzZ1G3bl0AQGRkJOrXr8+vc3BwQPXq1XH79m28fPkST58+VVsfEBCA27dvi6a7bNkyuLq68i8qiBNCCCGEkJJKcWF83rx5mDp1Ktzc3CS3Wb16NZKTkzF8+HAAQEZGhtZTgYuLCzIyMpCRkQEAcHZ21lonZs6cOUhNTeVf8fHxSj8CIYQQQgghxYK1ko2vX7+OK1euYMOGDZLb7Nq1C2vWrMHZs2dhb28PAHByckJaWpradmlpaXBycoKTkxMAID09nS+wc+vE2NrawtbWVkm2CSGEEEIIKZYUFcbPnDmDe/fuoUKFCgBe94OxtrZGdHQ0tm3bhoMHD2LGjBn466+/ULVqVf59/v7+2LhxI/93VlYWoqOjUbduXbi7u8PHxwe3bt1Cy5YtAQARERF8FxdCCCGEEELeWEyBV69esSdPnvCvAQMGsE8//ZS9fPmSnThxgnl6erJLly5pvS87O5tVqFCBfffddyw7O5vNmzePtWrVil8/c+ZM1rlzZ5aWlsYuXbrE3N3d2d27d2XlKTU1lQGgF73oRS960Yte9KIXvYrVKzU1VW9ZVlFhXNPw4cPZokWLGGOMtW3blpUqVYo5Ojryr3HjxvHbXr58mQUEBDA7OzvWunVrFhsby6/LzMxkgwcPZo6OjqxixYps165dsvNAhXF60Yte9KIXvehFL3oVx5ecwrhBoQ2Lk7S0NLi6ulo6G4QQQgghhKgxS2hDQgghhBBCiGlQYZwQQgghhBALocI4IYQQQgghFkKFcUIIIYQQQiyECuOEEEIIIYRYCBXGCSGEEEIIsRAqjJM3kre3t6WzQAghhBCiFxXG3wItW7a0dBYIsSgHBwdLZ4EQQggRRYXxt8CcOXMsnQViBgsWLCjS/f3www9Fuj9TGjp0qKWzQMyoQ4cOls4CIYQYjArjb4H27dtbOgtvLGtra4vt+3//+x++/vrrIttftWrVimxfpmaqiYZnzpxpknQAIDMz02Rpve3effddS2eBFFPHjx+Hh4eHpbNhNqdPn7Z0FogJvFGF8U6dOlk6CwZ75513jE7jTb7gKCVW+Lp8+bLR6eo6xroKxmfPnjVofyNHjpRcp1Kp0KhRI4PSNYSpCrSWoFKpTJKOKY+Bvb293m1q1apl9H4CAgKMTqO4M9X3W1w4OjpaOgsltkW1TJkyan+3bt0avr6+FsqN+QUGBlo6C8QE3qjCeEm2efNmo9NISkrSWubl5WV0ulLKly9vknTee+89k6QjJFZoatCggdHpfvnll5LrbG1tjU5fqTetEFLcFfXxHj16tFnTHzNmjFnTLwks8bstCUpySxgAxMXF4ZdffoGdnZ2ls0KIXm9UYbwkF0yaNGlilnRHjBhR7I/LokWLLJ0Fk7BEzXH16tWLbF+mPI+aN2/O/9/f399k6Uox1XdjqmMgp1YcAKZPn26S/UmpU6eOydKaPHmyydIyxD///GPR/ZuKrtawomSO69ny5ctNnqYm7jdaqVIl9OnTB0DJa9WzZNeTd955x2QVbbrY2NiYfR+GcHJyssh+36jCONFWv359S2fBaH/99Zfi97Ro0cIMOdFm7gcdfembs+VDk7luaKVKlTJLukJF/UBapUoVnetbt24tKx0rK3mX6IoVK0qu0/XZx40bJyt9fVq0aIF169aZJC1DtGzZ0uCufpYuqJ08eVLt74kTJxb7ChRDffrppxbZb3E+nmI197p+z6bWq1cvuLi4wNnZGcDrcTFvc2uCpc4VKozLVNRNdpo3YUNudDt27EBQUJDJbjb9+/c3STpCcmpFW7VqpTjdsmXLGpIdvSpVqmSWdKVYuqBgLsILXu3atc2+v3Llyhn83q5du2L16tUAxL8Pf39/fPDBB2rLYmJidKYZFBRkcH7E6Kpp13UOmTrk46RJkyTXxcXFmXRfQs2bN5f14GKKsTmWdO3aNUtnodgTO98rVKig8z1t2rQxV3YASF/j7t+/j2PHjmktV1ogNOYh58CBA0hNTcWyZcv4ZebuHtejRw+zpl8SKS6Mjx07FuXKlYOLiwsCAgJw6NAhAEB2djYmTZoEHx8feHl5Ye7cuWrvi46ORsuWLeHg4ICGDRvi5s2b/LrCwkJMnToVbm5uKFu2LNasWWPkxzKtu3fvIjo6GmlpaUXWx7Jfv35qfxsyoKdy5cpaP+qOHTuq/V2zZk3Z6WnWwhpbULxx44bBAxv1EbuYya1llNK0aVOtQcLCWl1DnqiLcgCmmIsXL1p0/8Dr88jFxcWs+xg0aJBB70tMTMQvv/yid7vffvtNUbp169aVve38+fP1bmPpfs/bt28HANSoUUN0/W+//Sb5IDt79myT50duNyBdXF1dTZAT/TQHHALSXX4aNmxo7uzwTHEMiwvu2qzrPvrs2TM8efLEJPvTrLwT3hu488rX1xc1atTga6RNwVT3kzlz5pi1u8aiRYtk3S+VXCdNRWk5YciQIabZr9I3TJ8+HbGxsUhLS8PWrVsRFBSEpKQkLFu2DLdu3cKdO3cQGRmJEydOYMuWLfz7Bg0ahA4dOiA5ORljxoxB7969kZ+fDwAICwvD6dOncf/+fYSHh2PlypUGdU0Q0oxC8ODBA1l9CjV/GP7+/nxazs7OOgfwaRo7dqzsbeWyt7dXe4KVQ3jSV61a1eB966tdUOqdd96Bp6enVr/ndu3aSb5nzJgxaueVPsIbnVR3iBcvXshKSyzOtvAJX9fDidQFV/jdtGvXDrNmzZKVF0swVy19UdT+G9r06OXlBVtbW/Tt2xfly5fH+++/z6/79ttvAQD16tUza9Om0lq7Dz/8UO1vcze7tmnTRrIQztE1I+4XX3xhdB40P6PUdU6zj3zFihUlj49mns3VOipW4LD0Q3pYWJjaA6ySSpuiFB4eLmu7L774Aj169JAs3DHGUKZMGfj4+MhKj+uLLqV79+5qfwvPsbVr1wL4v1ZhU7QMctdQU4y/KopuGrq6JgrLaYY8EBobiUhpK+qqVauM2h9HcWG8du3afC2MSqVCbm4uEhIScOTIEUyfPh3u7u4oU6YMpkyZwteW3Lt3D5GRkZg7dy7s7OwwYcIEFBYW4ty5cwCAnTt3YubMmShTpgxq1KiBMWPG4Pvvvxfdf05ODtLS0tReunB9r6pXr453330XpUuXBgDs379f5/u4H4wmJQUHY07qxo0bS6b52WefyUpDLAa2KQs+xqS1ceNG/v+a/Ws//PBDREVFiRZC7O3t8fHHH+tNn4s7fPXqVbXlmzZt0trWzc1NNA053XLkxhmXE8nlww8/1Lr4FOe+jmK2bNkieQEdMGAA/39zfy5Th/n09fVFQkKCWgFt7NixuHHjBrZt22bSfWlq3769aB9SudcBcz/s6OsfD5hvgLoUqYHNmscxPj5e8vhonqPmqCmUuvYUBV0PQePGjVMrMBXX7nJiLWpSXckOHjyoVutpTL/oGjVqGDx/R+/evdX+dnR0lNUKI+c7MKbbGVeu4wZWrly50uC0pDRt2pT/v9S901K/Ce6+pfRcL1u2rEl+Hwa12wcHB8Pe3h5NmjRBu3bt+Di2wgwxxnD79m0AQGRkJGrWrKnWlBoQEKC2XjjQULhO07Jly+Dq6sq/9PXh3bZtm1rXAu4Cq1n7+ueff6rlfcqUKZg0aRJ27dqlM/0//vgDjx8/Nvno4xkzZujtdypGeNzkDGIU3nDEwiuaq4ZmwoQJOtf7+fmp/S319NmqVStkZGTg77//Vls+fvx4xMTEaJ0fmt10AOmn9OHDh2POnDn8IDfuQU6fYcOGydquODD1ZCmjRo0SbUr38PBAt27dtJYHBATg888/N2nhfM2aNYiIiFBb5unpqbWdvlkbxX4/mhfdd955x+T9rsWINZ3a2dlJ9r0U/m6F+Xv48KHWtleuXDEqb8IHazEXLlww+yBdze9A7gBZXTS7S06dOtXoNM05F4TSrkqm6B4kDEtryKD5o0ePGp0HQzk4OBh8/bO3t8dXX30la9sVK1bw17fWrVvz56qwX7bmdUVp4Y5LnzEmu3Zf0/Dhw7Fq1Sr07dsXgPTg7qVLl6KwsNCgfdSrV4///6VLl0SvHVWrVsX69esBqB+Hop5gz9yVLJoMKoxv3LgRGRkZOHHiBDp16gSVSoXOnTtj1apVePHiBZ48eYJ169bh1atXAICMjAytJ1gXFxdkZGSIrheu0zRnzhykpqbyr/j4eNHtuC+xQ4cO+OOPP3R+ngMHDvA3ZmGhYP369XprNDt16mTy7hvA65uvWI2T8OScMGEC7ty5o7ZeOCCS+yzCz6RZYySs6RMbtBESEiI5lbjSsHpKuvgA6vmWGsRpY2MDR0dHtRuBk5MTVCqV6PGrUqWK5DmjydraGkuXLsWaNWuwb98+VK5cWdb7NB8k5DJ1bbFmdwXgdWFA2C9S7AFD6nvVfLDp2bMnunbtyv89e/Zsyc/Qtm1b0eWXLl1CgwYNRAu5hho0aJBaU2PdunXh4eGhVZjiwgaK9dkFlNXQ2NjYYMWKFYrzqpTUmBXNQvnVq1f55m9hgUms+0bjxo2Rl5dnUH6SkpL0NgsLw1iai748DB48WO1claNr165gjCEpKQlHjhzRGXJQs7ZTyq1bt8w27sicrU1SaQsrcAYOHMj/v3///rJ+D126dDHqocDYGskRI0YA0B11TKz84ODgoLPrldDMmTP542dtbQ0bGxswxvhCr6lFRUUZ9D4bGxtMnz5d74Ozi4uLSc61evXqSVbKcRWowu7Gcu+rwrxpjl3UxdKtPwaPaCtVqhTat2+PEydO4OjRo5g3bx7q16+PBg0aoGXLlujTpw/fJOjk5KTVnSQtLY1v9tNcL1ynydbWFi4uLmovDvcl6KqZ5A44t627uzt69uyp9OPLIlVjZora5sTERKxfv15Wf7PSpUvjk08+wT///KN20/71118REhKitq1m7YadnR0/mFTzB6i0cG1of2jGmOSPX2x5enq62t9TpkzBtGnT+L+Vho2yt7dXdOE09EIl1lfNVLPKcjeOLl266K05EbsoZWVlqc1iN2bMGPz66684fPgwv4wrdGl+/itXrmDHjh2K8qtSqbBz505F7xG+F/i/C/nnn38OQPr3OHHiRL4mRm7aYmbOnKk4j0pt2rQJBw4c0EpjypQpWttyzc2a+0pMTNTa1tBaJ3PU9H733XcmT3PXrl1q56qQvpu8h4eH6IMtAJw/fx6MMZ0PA8KY0e7u7vxDfcuWLbXCGpYrVw61atUSPT8M7bOuJLKU3MGEmg8mmg9ce/fuVfs9ODs7Y/jw4bLS3rhxo96Qm9x4De5aLqwQ0/Xb0lzH9SHX1U1EKj0vLy9kZWXxfwsLsdwA3MGDB6ulIbdLlNQ+hS34QsJyjZOTU5G01sllSOtHrVq1cPv2bcUPrprjv3r16gVA3sMydx0osaEN8/Pz8eDBA9jb2+Prr7/G48eP8fDhQ3h6evL9g/z9/REVFYWcnBz+fREREfwPwd/fH7du3RJdZwg5N1YXFxesX78e9+7dU3TwXVxcZOdNKqh9x44djQ6x5eXlxd9ADx48yN+gpXz11VdaTXI9e/bUmip76dKleOedd9TyLnUhkWoW1XXxP3HiBE6dOqW1/MKFC3wtheZ+dREWEB89eiQa+mvt2rV8aDoOV9NujglnNKPO6Hto4bpMaQ76AYCPPvpIVqQOsVp74ffF1WpLHVNuvdi5vXXrVq3+lWJ976U0btwYTk5OWuH/dNm8ebPB0W+4zz1+/Hi1v6WoVCqDm3YNZUwtDPddMMb4igexvrP79+/H4sWLtfZlaGx6OQOVmjVrZlDanAULFmDUqFFqy1QqlVknITl16pTJ4q0LrVu3DowxBAYGirYMffbZZ2rX5HXr1uG///7Tqojy8vLCmTNncP78edH9bN++XfSayrl06ZLsPMfExKi1tnI138bWGqalpfFjyDQJa9SB1y2++qZ4Hzt2LBhj/MODsMVHbl7PnDnD/26E96yWLVvKej+g3u9c+P9q1arhhx9+wDfffAMA/IOIvoHO+sjtiiS3TKMkoINYVz+O8KFS2C9cKWG5yN/fX3HB2NPTU9ZgY7EIVVzBXc75Y47oVYrudqmpqdi9ezcyMjKQn5+Pn3/+GadOnUKbNm3w+PFjPHnyBIWFhbhw4QKWLl2KefPmAXj9lFOnTh0sX74cOTk52LRpE1QqFd+vLygoCCtXrkRiYiIePHiAzZs3F0m/20mTJmk1Nen7IkqVKqXVH1WKrpHAN27ckJWGHD169OBPJLm4mgDNgnNgYCBu3Lghe3CYENfHav78+ZL9K9u3by96Y2revLlW7ROXN10/yK+//pr/v6+vr+zQX9zgYV3ktGCItUxoPoTpm3iJa42QeniTU2tpqqd5sTEYSmcElBqNXqZMGVl9eUNCQiQHMIuRimwgt7bJlM6cOaMWtpWzYMECyZpZpYSfo2/fvmCMiQ5G8/Pz46/BYpQWyuV0N1F6I/7f//7H/9/X11f0JqlSqXDnzh2zfX9lypRRVAAT4n6bml0thgwZordWT/h5GGNq4QyF96GmTZuiTZs2/PVw4MCBasd5+PDhaNu2reT3o6t73ZEjR9T+9vT0VLumST1cmfK39e6778Ld3V1tmbFhaPWxsbFBvXr10KRJExw5cgQTJ07k1508eVKym6wumsdgyJAhfGGfG8AsVQNvqdpYufsVzrUgRhhlyhiaUfAMcfz4ca2uw3L65Cs5p58+fWpEDsUpOuNVKhU2b96MihUrwtPTE8uXL8fu3bvRoEEDREVFoVmzZnBycsLYsWOxYcMGtVrX3bt34/jx43Bzc8M333yD/fv38xcy7km4Ro0aaNGiBaZPn27QSGWudsPBwaFYhIgrX748wsLCLJ0NNdwxl+oHzpHzI9VsNuWa6VQqFZ++MZObfPvtt/j1119RunRpvtmNezo/evQojhw5YnQYI130FVZu3LihqE+akPBhMzQ0FPHx8UY9beub1pwrrHEPn/v371cbgMQVfvU9jD558gQJCQk6t+Fqf8QKiPrSX7duneQEFnIH0Cplyr6Cbdq0EX34evfddxX3WTaU1ARh3JwQwOtzV9gaqQ/XLQB4/fA4btw4nQV9ubgC6z///KM2kHTWrFlqhUgXFxe1ipPnz5/rTNdchRuu1o3rnsP9bjRbGL/44gu1ypi5c+eiTJkyJqlR27NnDzZs2KC1XPj9cvQ9QEl1v5HSs2dP0YGLuroSGqJPnz6YO3eu3vE93D3HmFjPH374oVoXk9KlS+u9rxg6wFIuqfTlPqQY20Kl6fDhw7I/g1iF2L1793DhwgWT5UdX12JPT09+PJC5YqWbI+KLosK4i4sLTp06hZSUFKSmpuLatWt8rdT777+PuLg4ZGZm4tatW1o3Hj8/P/z999/IysrC9evX1QZGWllZYe3atUhJScHz58/5A6lUr169wBiDjY0NRo8ebdBN1tgLinCCEJVKpTNmtiXUqFEDmzZtUhyrXIy7u7vaMeae/lu2bImGDRuCMYYlS5YAMGx6X1dXV/5HV7duXezbt4+vse/SpYviG4kYsegq+lSsWJHvziMnSoRYrZuw5aFUqVI6j4/YPoR94K5cuYIff/wRjDEcP35cNA1fX18cOHAAS5cu5d//ySefAHh9oeSaU4H/694hxsfHR7LLAHcuzJgxA+PGjUNCQgIuX74sui3XkqNZ6z958mTJFqX79+9rRc0RY87JKjj6HmZNbceOHbJnwJXqAy1sZn7nnXdkd80JCgpSmzOhefPmCAsLw+LFi2W9XxfunHn33XfVBtJ++eWXiI2NlXyft7d3kX8HQvv27cNHH30k+37RsWNHPHv2THZhypD7kK7z/uHDhyYpDNWsWROffPKJ1tgrIX15F/veNO/VNjY2WLJkida14MCBA2qtmlZWVmCMYfz48ejYsSOGDBki675f1DXRzZs3x/jx4yUrGsTGfHC6dOnC/184GFto9uzZGDduHN/KKtZttSgqA2xtbbUqA2xtbVGzZk1ZLWvCsV1SWrRooXcitmnTpuG///6TbInQVTPOVQSbIiKTEuZtCypCcsNzyYlRbYw+ffrwk9IIv/B69eph69atitNTMihMrjFjxqhduL/99lujJ96wsbFB7dq1wRhTqxn09fXF5s2bZc20ydV+S91U+vbta9La0cTERIMC9sfHx2POnDmytze2cCgWgk9YGG/cuLGsGSx79eolWlutGXZ01qxZBj3IcqELPTw8EBYWBg8PD8n40lOmTEFOTo5k1xwxlStXFg2fJryxNm7cWLJWS8kgYEB3k6nS2RkNadYXTuDRtm1b7N27V9E+OdwDrdLoR1KKS+x7qbkoAMPzKGc+AOB15dOPP/6otuyrr77C4MGD4efnJzvShqGUfr6qVasaFNWG6z7C1fzL2a++Abi6vjd9evXqJRlZ6/jx46ITs5mSrrzrao23sbHBN998I9naGhoaKvle4QOGlZWV6HXA09MTYWFh/PXUxcVF68FPeE7KmQBRE9d9SRieUFOtWrW07tFyu7A8ePBA1jlqa2vLV1BJzaysUqnUukuqVCp+28qVK0tG9wJeV2Ywxoye5GvixImKulu+MYVxuTOEbdiwAQUFBSbfv7BfrVjtR8OGDSUnx5AKrQYUzcxnY8eO1RleqlWrVqhZs6Zkl5Po6GidzYmjR4+WNVDkww8/xHfffWf2ByaOl5eX2eMf66OvPznw+nzKysriQ4XKJSxQGxI+bM2aNYqioCh5UFKpVCZ7sBJ+Tl1p6nrAEBbgr127hvPnz2P58uUmyZ+hpJqauWZgLsqRPm3btuVnGNRHrPZMs0KgqEOAmWt/Yg/JxjxofPLJJ9i1axeioqJ0noedO3cGIO+3Dxg3o+BHH32k9rfS6BQVK1ZEVFQUJk2apLZc13FS8oCtLz1jJuYxB7HvonXr1rC3txcd72AO/fv350ORGho21JD46k2aNEFSUpLewbWa5P6mlFYWFBQUYNeuXXj06JHebRlj/HVz1apVoq3VXFlL84Hc0EhTPXv2VDST/BtTGJdLpVKZZXCIMGqB8OTjahx19T+Oi4uTvZ+iuhEK9+Pu7o579+6p9eEUNoVXq1ZNUfgsKSqVCqNGjSry4P6mwv2Y5Y6Yv3XrlmjfTwD47bffkJmZyf9tZ2cnK1yVVHcXuTV+QlOnTjX5QGqukCLnPDbkXJfbFKtZ6yFsCm7YsCHee+890QJV3bp18e6772oVTvRROqlH/fr1JQvj3t7eYIwZFXFKTEZGBn799Ve1ZceOHeMjHBSXGnE59EVJCg8P1wqBWlQaNWoExpjOCeu4GrXg4GC1LmQcub8fzYH0SqIgcfz8/HR+9+PGjeNbg8UYMyjP0dFRVmFLSE6/fGPvo8L3nz17Vu1abQr6fmtcJZKuBx+paxTX33nq1KmKW9v0hTItygd1KysrqFQq+Pr6SuZLeByF/7ezs9M6L+vXr4/U1FS9NfnCWb2F1+Bjx44pyr+mt64wrouTk5PO5iK5hCekr68vfvnlFyxZsoRv8tMsMJkjTI65yY1a8jYJDAxEfHw82rRpI1oLefnyZbVuFvXq1ZOs+SldurTOaDxS9A3ktLTvv/8eK1euNMtgzPv378vqPrRjxw48ePAATZs2hYuLi1rfX30tUQ4ODvjnn3/M3mJ18+ZNWV2PTMnR0bHIH4SV9O8Va1n87LPPRFvsunTpIntyr+KoUqVKYIxhw4YNOkPKSZFb6y4Xdz0TO+/DwsKMfjDkzgOxKFfC8LVynDx5UvQBBjD+gdKcD6Tx8fF8pYDwdyGsKBDmY9WqVdi9e7dkemvXrtXqKgv8XzjDNWvW6I0Y9s0338gKrVuUDC3w9+nTBy4uLjr7gmtec4cOHYr9+/erLeOOWVJSktqYqM6dO0t2y5SDCuMC6enpsgYQKNWnTx/Y2dmhQYMGOHPmjOSsU2fOnNFa1rVrV5QtW1b0B2lO+i46wpCCb4ITJ05IDn7U58iRI3xfQu5BSyziSJMmTYqk21FxblmoUKECZsyYYVQaXM3FrFmz1OLKOzg4yJrwo0KFClCpVPD09ERqair/ncTFxUkOOC0J/v33X5P0mRUW5AwpfJw+fVqyMCR3FlsxmmH4AGDZsmWSk0MpGTTO1TAa0sWipJPz0FKnTh3cvn1bKwa8GGNqR6X6gytRs2ZNnYPQzU0zTKNcXJQ6TVIVNtOnT1d0jnPzPCjpojJ+/HjR+S+kcNcLY8egiTHkvOLuhW5ubqhatSpSU1P5B0s56X3//ffo3r27aB9zDw8Pna3VSueuKL537TeA2I2sTZs2ktu3adMGkydPVpu0qHz58maJaWkscw9QKmqGhNLkiEV1sWSBuHbt2rJj4Wuy9JTAcpw4cQKMMb6plrsgGltrpavbgKmZo4YtICBAK8SeIW7evImQkBAsXLhQbTl3TuvrxxsYGIjAwEDRSoc7d+6goKAAnTp1Uhzdw5DJivr27StrsG2/fv0QExMDb29vXL58ucgngVJK6vypUKGC3tCjwcHBGDBgAP+33AKdsOuPIVFUSrIhQ4agRYsWfIuwVBSu+/fvmzzsnamPa1F8T7Nnz5aMHGMsJfn39vbGDz/8oOiBQsypU6cUH7eAgACtmed1oZrxYoabtU2KJZ/43wa3bt3C3r17S3QT96lTp3Dx4kXZofAAy99Ijx49KjukqZWVldrA2/Xr1+Prr7/WO0sjV2NlSPcfQ0RFRekNnWnuyU1MqXHjxli9erVR8cXt7e3h5ORUZA8++/btU4vuwZ0jmtO+W1tbY86cOfyDnSGTnhUH0dHRerfZsGGD4kF4bwruAVHJ9a5169b44YcfEBwcjMqVK6sNBtRUo0aNN66iylBXr17F9evX1ZZx550hx0jXd7Zq1SrJ6CfCyZfkpmcoLs0ePXoofm/JuRMQMMawZs0aS2fjjVavXj3079/foLjopsD1KTcmrJKXlxeaNWuGUaNG8fMAFPca75YtW2qFmZT7Hbi7u6vNoCdl0qRJ2LNnj2SsXlPz8/PT2RIGANevX8fmzZsRHh6OkJAQXLt2jZ/JtrhRqVSYNm2arIHE+vzvf/9Dy5YtZU1zb8qIGpMnT8aJEydM3qe6uCiq8Udi1xOu5cSQB8yQkJAiyTs3vkBJHi0V0UVX+L2SoFGjRlqBA4YNG4a0tDRZkZ00CXsMaBoxYoSsB1EhLqKKVJQ7Yxw8eFDxe6ibihkV9wKQLr1798bChQvf2JuWpbz33nvYvn275OjvDz74AJmZmSarvd26dSs+/vjjElUDyzG29k5sIpGBAwcalaZSmrUvo0ePxpYtW/i81a9fn/+NcTeH4jA4musSYq4JlOrVq4fw8HC9223dulUtqsyECRNw8+ZNg/dbqlQpnV3S9NWWrVixwiQzj76JRowYgSdPnqh1gQHk1UBOnTpVK/KL0LVr14pkMi+hiIgIPH78uEj3+eWXX8LDw0NWKGCliqI8IieAgGarlByzZ882+SQ8XDSVatWq6ZxgrKhQYZyIatCgQYl+mCgOZsyYoVUIHjNmDHr16qWzZsCU3ShcXV1lzVTKxc+dPHmyyfZNtC1fvhyurq58uMDiKjg4GJUqVRKNx1uUhPM3AMDGjRstlJPXevToYVATtKlxE7CsXbvWZGkqCRIgVsC2tbU1STQyMZZ4QK1bt67Jw4fqU65cOX4GS26wc0npM37t2jWjwlgWtRkzZqBVq1bYtm0bTp48qXf706dPGzRuRS4qjBNiJitXrtRaplKpDGqiMzdra+s37uHL0v3gxXh6eoqeF8VNqVKl0KtXL0tng0hwdHQ06e+1sLDQZGkR09iwYQOGDh1qdDeZ6tWrK+7CYQhDH5hGjhwp2TWPe+js0aOHye9PpUqVQosWLWR3C5TTUtuyZUuDI3KVvLbrEqQ4FgYIIYSIq1ChAgDjQjCWRCqVyqD7lZwCktQkKpZ82CuqcSPGcHR0NCrKF+f8+fNqE9UUN1u3bpU8j8qWLQvGmFoLXXEuV3355ZcGB3+gmnGiyDvvvGNUn01iGsVtmmhzWbVqldFxyQmRq02bNrhx40ax70akD1ejaGlPnjwRbdrPysqyWEz3Bw8emGTG6JKiTJkyKFOmDG7dumXprJhEcW7Btba2Njj4A9WME0XOnTuHuLg4S2fjrde3b19LZ6FIyA13WFx9/PHHaNeuXYmPjPA2KekF8StXrmDr1q1m3Yfc2kkfHx/RORfs7OzUwpMWperVqxf5YNDioHr16qhYsaKsyFNvk+JSuFdcGB87dizKlSsHFxcXBAQE4NChQ/y6S5cuoXnz5nwc2V9++YVfd+XKFdSvXx8ODg4IDAzEo0eP+HVZWVkICgqCs7MzfH19sWfPHiM/FjEXZ2fnIp0chYgridFR3kY+Pj7466+/DIogQIghGjduzA/IJoTj4OCA+Ph4rXCDhjp37lyRPtQU5+4ppqD4jj59+nTExsYiLS0NW7duRVBQEJKSkvD06VP069cPoaGhSElJwfXr1/lpV3NyctCnTx9MnjwZycnJaNWqFR/vE3gdY/TFixdISEjA3r17ERwcjHv37pnuUxYxLl5qUcV8JYRo464/xaXJnhBC3hStWrUya3SRolJcCvmKC+O1a9fmC5kqlQq5ublISEjAmjVrMGLECHTu3BnW1tbw8vLiJy45ffo0bG1tMXr0aNjZ2WHevHm4du0aYmJiAAA7d+7E559/DhcXFzRv3hw9e/bE7t27Rfefk5ODtLQ0tVdx89FHH2Ht2rUYPHiw3m2phpMQ82jTpg3S09P5QjkhxDTGjx8PV1dXs0yYQoiY4tKdxFwMKgkGBwfD3t4eTZo0Qbt27RAQEMCHcwkICEC5cuUwfPhwpKamAgAiIyPVJo9xcHBA9erVcfv2bbx8+RJPnz5VWx8QEIDbt2+L7nvZsmVwdXXlX5bqMqFrAF2pUqUwZcoU0b5yQmlpaUhJSTFxzgh5s1SoUMHgcJBvY9/Qt9mGDRsUxcsmhmnUqBFSUlKoOwwpcsWlJtvUDCqMb9y4ERkZGThx4gQ6deoElUqFhIQE7Ny5E7/88guioqKQkZHBD77KyMiAi4uLWhouLi7IyMhARkYGAPVZmbh1YubMmYPU1FT+ZWgYGWPdv3/f4HiSHGdnZ+pLSogejx49wn///WfpbJASIDg4GEePHrV0Ngh5Kxw7dgzLli2zdDbeCAaHNuSmFV67di1q1KgBe3t7DBkyBDVr1gQAzJ07F926dQPwunZKsztJWloanJyc+Jqr9PR0vsDOrRNja2tbLPpiV6pUiQYyElIELBV1gRBCiLTatWvjs88+s3Q23ghGd1jOz8/HgwcPUK9ePbXmA+H//f391WJcZmVlITo6GnXr1oW7uzt8fHzU1kdERBT5NLSEEMPcv38fDx48sHQ2CCGEEEUaN24MAPDw8LBoPhQVxlNTU7F7925kZGQgPz8fP//8M06dOoU2bdpgxIgR2LZtGx4+fIjMzEwsX74cXbt2BQC0bdsWWVlZ2Lp1K3JycrBkyRI0atQIVatWBQAEBQVh8eLFSE9Px+XLl3Hw4EFZgx+JuP79+2t1CyLEXGrUqIHq1atbOhuEEELeUFwLaY0aNUya7tixY/H48WN+9l1LUdRNRaVSYfPmzQgODgZjDH5+fti9ezcft3LatGlo2bIl8vLy0LlzZ6xcuRLA664lBw4cwMcff4yJEyeiSZMm+OGHH/h0Fy5ciNGjR6NcuXJwd3fH119/jVq1apnuU75l9u7da+ksEELecsuWLbN4bRMh5M1QunRpXLp0SS3YhymoVCqLF8QBQMVKeLyYtLQ0uLq6IjU1lWqDyRuP6/5Vwn+2hBBCyBtNSfmUglwTUoJ07tzZ0lkghBBCiAkZHE2FEFL0Dh06hLy8PEtngxBCCCEmQoVxQkoQa2trvZNJEUIIIaTkoG4qhBBCCCGEWAgVxgkhhBBCCLEQKowTQgghhBBiISW+8ykX4i0tLc3COSGEEEIIIeT/yqVyQhGX+MJ4eno6AKBSpUoWzgkhhBBCCCH/Jz09Ha6urjq3KfGT/hQWFuK///6Ds7MzPyHKmywtLQ2VKlVCfHw8TXJEih06P0lxRucnKe7oHH1zMMaQnp6O8uXLw8pKd6/wEl8zbmVlhYoVK1o6G0XOxcWFfqik2KLzkxRndH6S4o7O0TeDvhpxDg3gJIQQQgghxEKoME4IIYQQQoiFUGG8hLG1tUVISAhsbW0tnRVCtND5SYozOj9JcUfn6NupxA/gJIQQQgghpKSimnFCCCGEEEIshArjhBBCCCGEWAgVxgkhhBBCCLEQKowTQgghhBBiIVQYJ4QQQgghxEJKbGE8JycHo0aNgq+vL1xcXNC8eXNcuHCBX798+XJ4e3vDw8MDs2fPhjBozPjx4+Hn5weVSoXTp0+rpZucnIz+/fvDw8MDZcuWxaRJk1BQUCCZD11pnT17FoGBgXByckLbtm31fqZvvvkGDRs2hI2NDUJDQ9XWMcYQGhqKSpUqwc3NDWPGjEFubi4AwMnJiX+pVCo4Ojryf8fFxWHfvn1o3rw57OzsMGLECLV08/Pz0a9fP1SqVAkqlQqxsbE685iVlYWgoCA4OzvD19cXe/bskZVHMYmJiejatSscHR1Rq1Yt/PXXX2rrdX2HxDBS59izZ8/QvXt3lClTBiqVyuB0ONu3b0fFihXh4uKCkSNH6jwPoqOj0bJlSzg4OKBhw4a4efMmv66wsBBTp06Fm5sbypYtizVr1ij6vKRkKYrzU2ladJ0iQkVxjh45cgQtWrSAq6srypcvj+nTpyMvL08yLbqGlnwltjCen5+PKlWqIDw8HCkpKZg6dSq6d++OjIwMHD16FBs2bMDFixcRGRmJY8eOYevWrfx7GzRogC1btqBatWpa6YaEhCAzMxPx8fGIiIjA2bNnsWXLFsl86ErLwcEBY8eOxfz582V9pnLlyiE0NBR9+/bVWrd9+3b8/PPPuHjxIuLj4/H06VMsXLgQAJCRkcG/bG1tcfv2bf5vX19feHh4YObMmQgODhbdb+vWrbF3715ZcU1DQkLw4sULJCQkYO/evQgODsa9e/f05lHMxIkT4ePjg8TERKxYsQIDBgxAcnIyAOj9DolhpM4xKysrfPjhh/j++++NSgcAbt26hWnTpuHAgQOIj49HfHw8Fi1aJJnWoEGD0KFDByQnJ2PMmDHo3bs38vPzAQBhYWE4ffo07t+/j/DwcKxcuVKrMETeHEVxfipNi65TRKgoztG0tDSEhobi6dOnuHnzJq5cuYIVK1ZIpkXX0DcAe4OUK1eOXb16lQ0cOJAtWrSIX75t2zbWpk0bre1r1arFTp06pbasW7dubNOmTfzfs2bNYpMnT9a7b7G0OHv27GGBgYGyPgNjjI0bN46FhISoLevbty9bt24d/3d4eDirUKGC1nttbW1ZTEyMaLrLli1jw4cPl9yvrvdyfHx82Llz5/i/hw8fzubPn68oj4wxlp6ezmxsbFh8fDy/LDAwkG3dupUxxmR/h8QwYucYY4w9efKEKbksiKXz2WefsY8//pj/+9SpU8zX11f0/Xfv3mWOjo4sOzubX1a5cmV28uRJxhhjzZs3Zzt37uTXhYSEsGHDhsnOHymZzHl+KkmLrlNESlGco5xvv/2WdevWTXQdXUPfDCW2ZlxTVFQUkpOT4efnh8jISNSvX59fFxAQgNu3b8tKZ9y4cTh06BDS09Px5MkTHDt2DB07djRXthVhguZPxhgSEhKQmppq1n0uX74c3bp1AwC8fPkST58+1XlsdeUxODiYr52PioqCk5MTKlasKJqWMd8hMT3hd6eP2HcXFxeHjIwMAEC3bt2wfPlyftuaNWuqtcrQeUCUUnJ+KkmLrlPEVIw5R8+ePYu6devyf9M19M1jbekMmALXj3nOnDlwdXVFRkYGXFxc+PUuLi58QUCfBg0aIC0tDe7u7igoKMDHH3/MF0YtqXPnzli1ahV69eoFV1dXLFu2DADw6tUruLq6mm2/n332Gf9/7hg6Ozvzy4THVl8eN27cqJaW8Dvi0kpKShJdr+Q7JKYn/O70EfvuuOVOTk44fPiw5Lbc9tx3TecBkUPJ+akkLbpOEVMx9Bz95Zdf8Ndff6n1A6dr6JunxNeM5+XloX///vDz8+P7Zjs5OSEtLY3fJi0tDU5OTrLSGzBgABo1aoSMjAw8ffoU9+/fx/r16wEAdevWVRsYaYzx48fzae3atUvv9qNGjcKAAQMQGBiIevXqoUOHDrCxsUHZsmWNyocS3DFMT0/nlwmPrZI8an5HmmkZ8x0SyxL77rjl+rbltqfzgBQHdH4SSzp16hQmTJiAQ4cOoUyZMqLb0Dn6ZijRhfHCwkIMHToUKpUKO3bs4Ecw+/v749atW/x2ERERak08uty8eRNjx46FnZ0dypYtiwEDBvCDHTQHRhojLCyMT2vIkCF6t7eyssKCBQsQGxuLx48fo27dumjYsCFKlSplVD6UcHd3h4+Pj+SxVZLHGjVqICMjAwkJCaJpGfMdEssS++58fX1FbwD+/v6IiopCTk6O2vZ0HpDigK5TxFIuXbqEAQMGYO/evWjcuLHkdnQNfTOU6ML4uHHj8OTJE/z888+wtv6/HjdBQUH49ttv8fDhQzx79gyrV6/GsGHD+PW5ubnIzs4GY0zt/wDQuHFjbN26FXl5eUhKSsK+ffsQEBAgmQddaRUWFiI7Oxt5eXlq/5eSn5+P7OxsFBQUqP0fAF68eIGHDx+CMYbbt29jxowZCAkJkXWcCgoKkJ2djfz8fLX/c3JycpCdna31fzFBQUFYvHgx0tPTcfnyZRw8eBCDBw9WnEcnJyf07NkTISEhyMrKwuHDh/Hvv/+iZ8+e/H50fYfEMLrOsezsbP6CLvy/0nQGDx6MX375BdeuXUNqaiqWLFki+d3VqlULderUwfLly5GTk4NNmzZBpVKhdevWAF6fBytXrkRiYiIePHiAzZs303nwBiuK81NJWnSdIpqK4hy9desWunfvju+++05vWGS6hr4hLDVy1FixsbEMALOzs2OOjo786+zZs4wxxpYuXco8PT2Zm5sbmzVrFissLOTfGxgYyACovbgoIlFRUaxjx47Mzc2NeXt7s+HDh7OMjAzJfOhK69SpU1rrdEUzCQkJ0dp+27ZtjDHGIiMjWfXq1Zm9vT2rXr06v1yTWESUbdu2aaUrHL1duXJlrfWcJUuWsM6dO/N/Z2ZmssGDBzNHR0dWsWJFtmvXLn6dvjyOGzeOjRs3jv/7+fPnrEuXLsze3p7VqFGD/fnnn2rb6/oOiWF0nWOayytXrsy/T/O705UOY6/PufLlyzMnJyc2fPhwtZH+nTt3ZkuWLOH/joqKYi1atGB2dnasQYMG7Pr16/y6goICNmXKFObq6sq8vb3ZqlWrTH5MSPFRVOenkrToOkWEiuIcHTFiBLOyslIr2wjvw3QNffOoGKMZCgghhBBCCLGEEt1NhRBCCCGEkJKMCuOEEEIIIYRYCBXGCSGEEEIIsRAqjBNCCCGEEGIhVBgnhBBCCCHEQqgwTgghhBBCiIVQYZwQQgghhBALocI4IYQQQgghFkKFcUIIIYQQQiyECuOEEEIIIYRYCBXGCSGEEEIIsZD/B5kUkW4HvVXUAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "execution_count": 66, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "row_number = 9\n", + "st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", + " station=st_df.iloc[row_number].station, location=\"*\", \n", + " channel='HNZ', starttime=t1, endtime=t2)\n", + "st.plot()" + ] + }, + { + "cell_type": "markdown", + "id": "c8c6c751", + "metadata": {}, + "source": [ + "If satisfied with the quality control, save the station dataframe with all the processing parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 73, "id": "c617750b", "metadata": {}, "outputs": [], "source": [ "# Save the station dataframe to a CSV file\n", - "st_df.to_csv(\"station_dataframe.csv\", index=False)" + "st_df.to_csv(\"station_dataframe_processed.csv\", index=False)" ] }, { @@ -1823,7 +1925,7 @@ "id": "c8b02e8a", "metadata": {}, "source": [ - "For small and medium-sized datasets, the traditional local workflow may be sufficient. For large-scale seismic datasets, however, repeatedly downloading and processing raw data on a local machine can become cumbersome. In that case, a cloud-optimized or GeoLab-based workflow can make the process faster, more reproducible, and easier to scale.\n", + "For small datasets, the traditional local workflow may be sufficient. But, for large-scale seismic datasets repeatedly downloading and processing raw data on a local machine can become cumbersome. In that case, a cloud-optimized or GeoLab-based workflow can make the process faster, reproducible, and easier to scale.\n", "\n", "| Workflow step | Traditional Workflow | GeoLab based Workflow |\n", "| :---: | :---: | :---: |\n", diff --git a/tutorials/MVP1-SAGE/event_catalog.xml b/tutorials/MVP1-SAGE/event_catalog.xml index 4320351..e10a9de 100644 --- a/tutorials/MVP1-SAGE/event_catalog.xml +++ b/tutorials/MVP1-SAGE/event_catalog.xml @@ -2,7 +2,7 @@ - 2026-06-25T21:37:44.000000Z + 2026-07-08T20:32:51.000000Z quakeml:earthquake.usgs.gov/product/origin/uw61977871/uw/1703445058650 diff --git a/tutorials/MVP1-SAGE/station_dataframe_processed.csv b/tutorials/MVP1-SAGE/station_dataframe_processed.csv new file mode 100644 index 0000000..f50a7b0 --- /dev/null +++ b/tutorials/MVP1-SAGE/station_dataframe_processed.csv @@ -0,0 +1,17 @@ +network,station,start_date,latitude,longitude,elevation,channel,sample_rate,data_available,gaps_detected,time_pick1,time_pick2,freqmin,freqmax,qc_test +US,NLWA,2006-07-05T00:00:00.000000Z,47.3917,-123.8691,640.0,HNZ,200.0,True,False,80.0,100.0,2.0,8.0,True +UW,BILS,2015-03-30T00:00:00.000000Z,47.53966,-124.25138,62.0,HNZ,200.0,True,False,127.0,145.0,2.0,10.0,True +UW,BLN,1980-01-11T00:00:00.000000Z,48.006624,-122.972646,601.0,HNZ,200.0,True,False,127.0,145.0,2.0,9.0,True +UW,ERW,1997-12-01T00:00:00.000000Z,48.453827,-122.626121,387.0,HNZ,200.0,True,False,135.0,160.0,2.0,9.0,False +UW,HURR,2017-05-10T00:00:00.000000Z,47.97035,-123.49871,1605.0,HNZ,200.0,True,False,125.0,140.0,0.5,10.0,True +UW,LWCK,2015-01-29T00:00:00.000000Z,46.2778,-124.0536,60.4,HNZ,200.0,True,False,140.0,175.0,4.0,10.0,True +UW,MAC,2018-06-25T00:00:00.000000Z,47.2467,-122.5318,112.5,HNZ,200.0,True,False,130.0,175.0,2.5,10.0,True +UW,OOW2,2015-03-03T00:00:00.000000Z,47.74919,-124.17544,741.0,HNZ,200.0,True,False,120.0,155.0,2.5,8.0,True +UW,QCDG,2011-11-16T00:00:00.000000Z,48.10002,-122.58696,52.2,HNZ,200.0,True,False,55.0,75.0,2.5,8.0,False +UW,QCEN,2012-06-14T00:00:00.000000Z,46.71635,-122.9619,55.4,HNZ,200.0,True,False,55.0,75.0,2.5,8.0,False +UW,QCMM,2011-05-20T00:00:00.000000Z,47.28638,-122.50765,90.2,HNZ,200.0,True,False,57.5,70.0,2.5,8.0,True +UW,QFRZ,2010-09-28T00:00:00.000000Z,47.03468,-122.92066,56.4,HNZ,200.0,True,False,55.5,70.0,2.5,10.0,True +UW,QOCL,2010-09-02T00:00:00.000000Z,47.02649,-122.90044,53.3,HNZ,200.0,True,False,55.5,70.0,2.5,7.5,True +UW,QSKT,2011-05-24T00:00:00.000000Z,47.21344,-122.53312,116.9,HNZ,200.0,True,False,55.5,70.0,2.0,10.0,True +UW,QTNB,2010-09-01T00:00:00.000000Z,47.28922,-122.5569,78.8,HNZ,200.0,True,False,55.5,70.0,2.0,10.0,True +UW,UPL,2018-07-19T00:00:00.000000Z,47.214431,-122.546085,126.0,HNZ,200.0,True,False,120.0,175.0,2.0,10.0,True diff --git a/tutorials/MVP1-SAGE/station_inventory.xml b/tutorials/MVP1-SAGE/station_inventory.xml index 997ab44..0a20136 100644 --- a/tutorials/MVP1-SAGE/station_inventory.xml +++ b/tutorials/MVP1-SAGE/station_inventory.xml @@ -1,10 +1,10 @@ - IRIS-DMC - IRIS-DMC - IRIS WEB SERVICE: fdsnws-station | version: 1.1.52 - http://service.iris.edu/fdsnws/station/1/query?starttime=2018-11-19T11%3A07%3A13.130000&endtime=2018-11-19T11%3A17%3A13.130000&channel=HN%3F&minlatitude=46.0&maxlatitude=48.5&minlongitude=-125.5&maxlongitude=-122.5&level=response - 2026-06-26T05:18:00.468800Z + EarthScope + EarthScope + EarthScope WEB SERVICE: fdsnws-station | version: 1.1.56 + https://service.earthscope.org/fdsnws/station/1/query?starttime=2018-11-19T11%3A07%3A13.130000&endtime=2018-11-19T11%3A17%3A13.130000&channel=HN%3F&minlatitude=46.0&maxlatitude=48.5&minlongitude=-125.5&maxlongitude=-122.5&level=response + 2026-07-08T20:32:59.197100Z Canadian National Seismograph Network (CNSN) 10.7914/SN/CN @@ -27444,12 +27444,12 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo 3 - ShakeAlert Upgrade + [SENSOR::TITAN::479], [LOGGER::TITAN SMA::479] 2017-03-01T00:00:00.000000Z 2020-09-22T17:20:46.000000Z - [SENSOR::TITAN::479], [LOGGER::TITAN SMA::479] + ShakeAlert Upgrade 2017-03-01T00:00:00.000000Z 2020-09-22T17:20:46.000000Z @@ -27892,12 +27892,12 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - ShakeAlert Upgrade + [SENSOR::TITAN::479], [LOGGER::TITAN SMA::479] 2017-03-01T00:00:00.000000Z 2020-09-22T17:20:46.000000Z - [SENSOR::TITAN::479], [LOGGER::TITAN SMA::479] + ShakeAlert Upgrade 2017-03-01T00:00:00.000000Z 2020-09-22T17:20:46.000000Z @@ -28804,12 +28804,12 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo 3 - Titan s/n 537 DEAD + [LOGGER::TITAN SMA::514], [SENSOR::TITAN::514] 2017-11-06T00:00:00.000000Z 2020-09-30T00:00:00.000000Z - [LOGGER::TITAN SMA::514], [SENSOR::TITAN::514] + Titan s/n 537 DEAD 2017-11-06T00:00:00.000000Z 2020-09-30T00:00:00.000000Z @@ -29700,12 +29700,12 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Titan s/n 537 DEAD + [LOGGER::TITAN SMA::514], [SENSOR::TITAN::514] 2017-11-06T00:00:00.000000Z 2020-09-30T00:00:00.000000Z - [LOGGER::TITAN SMA::514], [SENSOR::TITAN::514] + Titan s/n 537 DEAD 2017-11-06T00:00:00.000000Z 2020-09-30T00:00:00.000000Z @@ -32766,12 +32766,12 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo 3 - Installation at MKAH + [SENSOR::TITAN::318], [LOGGER::TITAN SMA::318] 2015-09-03T00:00:00.000000Z 2020-09-30T00:00:00.000000Z - [SENSOR::TITAN::318], [LOGGER::TITAN SMA::318] + Installation at MKAH 2015-09-03T00:00:00.000000Z 2020-09-30T00:00:00.000000Z @@ -33214,12 +33214,12 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Installation at MKAH + [SENSOR::TITAN::318], [LOGGER::TITAN SMA::318] 2015-09-03T00:00:00.000000Z 2020-09-30T00:00:00.000000Z - [SENSOR::TITAN::318], [LOGGER::TITAN SMA::318] + Installation at MKAH 2015-09-03T00:00:00.000000Z 2020-09-30T00:00:00.000000Z @@ -33662,12 +33662,12 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Installation at MKAH + [SENSOR::TITAN::318], [LOGGER::TITAN SMA::318] 2015-09-03T00:00:00.000000Z 2020-09-30T00:00:00.000000Z - [SENSOR::TITAN::318], [LOGGER::TITAN SMA::318] + Installation at MKAH 2015-09-03T00:00:00.000000Z 2020-09-30T00:00:00.000000Z @@ -35427,12 +35427,12 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo 3 - Installed at OCEN + [SENSOR::TITAN::298], [LOGGER::TITAN SMA::298] 2015-03-04T00:00:00.000000Z 2019-12-13T23:59:00.000000Z - [SENSOR::TITAN::298], [LOGGER::TITAN SMA::298] + Installed at OCEN 2015-03-04T00:00:00.000000Z 2019-12-13T23:59:00.000000Z @@ -35876,12 +35876,12 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Installed at OCEN + [SENSOR::TITAN::298], [LOGGER::TITAN SMA::298] 2015-03-04T00:00:00.000000Z 2019-12-13T23:59:00.000000Z - [SENSOR::TITAN::298], [LOGGER::TITAN SMA::298] + Installed at OCEN 2015-03-04T00:00:00.000000Z 2019-12-13T23:59:00.000000Z @@ -36325,12 +36325,12 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Installed at OCEN + [SENSOR::TITAN::298], [LOGGER::TITAN SMA::298] 2015-03-04T00:00:00.000000Z 2019-12-13T23:59:00.000000Z - [SENSOR::TITAN::298], [LOGGER::TITAN SMA::298] + Installed at OCEN 2015-03-04T00:00:00.000000Z 2019-12-13T23:59:00.000000Z @@ -39392,11 +39392,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo 3 - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100766] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100766] + Location code changed 2014-12-18T00:00:00.000000Z 48.10002 @@ -39668,11 +39668,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100766] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100766] + Location code changed 2014-12-18T00:00:00.000000Z 48.10002 @@ -39944,11 +39944,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100766] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100766] + Location code changed 2014-12-18T00:00:00.000000Z 48.10002 @@ -40235,11 +40235,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo 3 - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100091] 2014-12-17T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100091] + Location code changed 2014-12-17T00:00:00.000000Z 46.71635 @@ -40511,11 +40511,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100091] 2014-12-17T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100091] + Location code changed 2014-12-17T00:00:00.000000Z 46.71635 @@ -41079,11 +41079,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo 3 - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100529] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100529] + Location code changed 2014-12-18T00:00:00.000000Z 47.28638 @@ -41355,11 +41355,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100529] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100529] + Location code changed 2014-12-18T00:00:00.000000Z 47.28638 @@ -41631,11 +41631,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100529] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100529] + Location code changed 2014-12-18T00:00:00.000000Z 47.28638 @@ -42813,11 +42813,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo 3 - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100639] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100639] + Location code changed 2014-12-18T00:00:00.000000Z 47.06092 @@ -43089,11 +43089,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100639] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100639] + Location code changed 2014-12-18T00:00:00.000000Z 47.06092 @@ -43365,11 +43365,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100639] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100639] + Location code changed 2014-12-18T00:00:00.000000Z 47.06092 @@ -43657,11 +43657,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo 3 - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100152] 2014-12-17T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100152] + Location code changed 2014-12-17T00:00:00.000000Z 47.8086 @@ -43933,11 +43933,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100152] 2014-12-17T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100152] + Location code changed 2014-12-17T00:00:00.000000Z 47.8086 @@ -44209,11 +44209,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100152] 2014-12-17T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100152] + Location code changed 2014-12-17T00:00:00.000000Z 47.8086 @@ -45295,11 +45295,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo 3 - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100641] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100641] + Location code changed 2014-12-18T00:00:00.000000Z 47.21344 @@ -45571,11 +45571,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100641] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100641] + Location code changed 2014-12-18T00:00:00.000000Z 47.21344 @@ -45847,11 +45847,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100641] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100641] + Location code changed 2014-12-18T00:00:00.000000Z 47.21344 @@ -46139,11 +46139,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo 3 - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100406] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100406] + Location code changed 2014-12-18T00:00:00.000000Z 47.28922 @@ -46416,11 +46416,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100406] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100406] + Location code changed 2014-12-18T00:00:00.000000Z 47.28922 @@ -46693,11 +46693,11 @@ HAITI Haiti weak and strong motion 2010-02-11 deplo - Location code changed + Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100406] 2014-12-18T00:00:00.000000Z - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100406] + Location code changed 2014-12-18T00:00:00.000000Z 47.28922 From 10e11040d5d9cbea9dd3ca09d41eb3a8df0001cf Mon Sep 17 00:00:00 2001 From: Asif Ashraf Date: Mon, 13 Jul 2026 15:18:08 -0700 Subject: [PATCH 12/15] update of NB3, fix eventDF on NB1 --- tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb | 42 +- tutorials/MVP1-SAGE/Notebook3_mvp2.ipynb | 1950 +++++++++++++++++++++- tutorials/MVP1-SAGE/event_selection.json | 6 +- 3 files changed, 1954 insertions(+), 44 deletions(-) diff --git a/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb index de8e307..d714481 100644 --- a/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb +++ b/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb @@ -111,7 +111,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "id": "e4ab2746", "metadata": {}, "outputs": [ @@ -120,7 +120,7 @@ "output_type": "stream", "text": [ "FDSN Webservice Client (base url: https://service.earthscope.org)\n", - "Available Services: 'dataselect' (v1.1.65), 'station' (v1.1.54)\n", + "Available Services: 'dataselect' (v1.1.65), 'station' (v1.1.56)\n", "\n", "Use e.g. client.help('dataselect') for the\n", "parameter description of the individual services\n", @@ -160,7 +160,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 2, "id": "57ae43c5", "metadata": {}, "outputs": [ @@ -213,7 +213,7 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 3, "id": "9e848c28", "metadata": {}, "outputs": [ @@ -323,15 +323,15 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 4, "id": "dd45d8d0", "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "Inventory created at 2026-07-01T13:24:20.432600Z\n", - "\tCreated by: EarthScope WEB SERVICE: fdsnws-station | version: 1.1.54\n", + "Inventory created at 2026-07-08T20:32:59.197100Z\n", + "\tCreated by: EarthScope WEB SERVICE: fdsnws-station | version: 1.1.56\n", "\t\t https://service.earthscope.org/fdsnws/station/1/query?starttime=201...\n", "\tSending institution: EarthScope (EarthScope)\n", "\tContains:\n", @@ -424,7 +424,7 @@ "\t\t\tUW.UPL..HNZ, UW.UPL..HNN, UW.UPL..HNE" ] }, - "execution_count": 6, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -491,7 +491,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 5, "id": "2b2ee0f7", "metadata": {}, "outputs": [ @@ -690,7 +690,7 @@ "[151 rows x 8 columns]" ] }, - "execution_count": 7, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -751,7 +751,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 6, "id": "af083df7", "metadata": {}, "outputs": [ @@ -1116,7 +1116,7 @@ "150 126.0 HNZ 200.0 " ] }, - "execution_count": 8, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } @@ -1162,7 +1162,7 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 7, "id": "dfb1264e", "metadata": {}, "outputs": [ @@ -1213,7 +1213,7 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 8, "id": "d393f9cf", "metadata": {}, "outputs": [ @@ -1628,7 +1628,7 @@ "150 126.0 HNZ 200.0 True " ] }, - "execution_count": 37, + "execution_count": 8, "metadata": {}, "output_type": "execute_result" } @@ -1665,7 +1665,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 9, "id": "5de67675", "metadata": {}, "outputs": [ @@ -1722,7 +1722,7 @@ }, { "cell_type": "code", - "execution_count": 40, + "execution_count": 10, "id": "1d5fbeff", "metadata": {}, "outputs": [ @@ -1993,7 +1993,7 @@ "150 126.0 HNZ 200.0 True " ] }, - "execution_count": 40, + "execution_count": 10, "metadata": {}, "output_type": "execute_result" } @@ -2041,7 +2041,7 @@ }, { "cell_type": "code", - "execution_count": 69, + "execution_count": 11, "id": "a60de84b", "metadata": {}, "outputs": [], @@ -2080,7 +2080,7 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "id": "eda15b59", "metadata": {}, "outputs": [], @@ -2119,7 +2119,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 13, "id": "cb97ee4c", "metadata": {}, "outputs": [ diff --git a/tutorials/MVP1-SAGE/Notebook3_mvp2.ipynb b/tutorials/MVP1-SAGE/Notebook3_mvp2.ipynb index 0b2e81e..53d9c85 100644 --- a/tutorials/MVP1-SAGE/Notebook3_mvp2.ipynb +++ b/tutorials/MVP1-SAGE/Notebook3_mvp2.ipynb @@ -57,6 +57,18 @@ "## **1. Workflow execution**" ] }, + { + "cell_type": "markdown", + "id": "a50de87f", + "metadata": {}, + "source": [ + "In this section, we use the processing choices saved in Notebook 2 to run a real seismic workflow. The workflow has three main stages:\n", + "\n", + "1. stream waveforms from the saved preprocessing recipe;\n", + "2. automatically pick P and S arrivals using SeisBench;\n", + "3. use the picks to compare waveforms and estimate relative delay times." + ] + }, { "cell_type": "markdown", "id": "a6e4f750", @@ -65,12 +77,609 @@ "#### **1.1 Load saved metadata**" ] }, + { + "cell_type": "markdown", + "id": "e329d8c4", + "metadata": {}, + "source": [ + "We begin by loading the three lightweight products created in the previous notebooks. These files contain the event information, station metadata, instrument response, and the processing parameters selected during visual inspection." + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "73539f6f", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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networkstationstart_datelatitudelongitudeelevationchannelsample_ratedata_availablegaps_detectedtime_pick1time_pick2freqminfreqmaxqc_test
0USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0TrueFalse80.0100.02.08.0True
1UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0TrueFalse127.0145.02.010.0True
2UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0TrueFalse127.0145.02.09.0True
3UWERW1997-12-01T00:00:00.000000Z48.453827-122.626121387.0HNZ200.0TrueFalse135.0160.02.09.0False
4UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0TrueFalse125.0140.00.510.0True
5UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0TrueFalse140.0175.04.010.0True
6UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0TrueFalse130.0175.02.510.0True
7UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0TrueFalse120.0155.02.58.0True
8UWQCDG2011-11-16T00:00:00.000000Z48.100020-122.58696052.2HNZ200.0TrueFalse55.075.02.58.0False
9UWQCEN2012-06-14T00:00:00.000000Z46.716350-122.96190055.4HNZ200.0TrueFalse55.075.02.58.0False
10UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0TrueFalse57.570.02.58.0True
11UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0TrueFalse55.570.02.510.0True
12UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0TrueFalse55.570.02.57.5True
13UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0TrueFalse55.570.02.010.0True
14UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0TrueFalse55.570.02.010.0True
15UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0TrueFalse120.0175.02.010.0True
\n", + "
" + ], + "text/plain": [ + " network station start_date latitude longitude \\\n", + "0 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", + "1 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", + "2 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", + "3 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", + "4 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", + "5 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", + "6 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", + "7 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", + "8 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", + "9 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", + "10 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", + "11 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", + "12 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", + "13 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", + "14 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", + "15 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", + "\n", + " elevation channel sample_rate data_available gaps_detected time_pick1 \\\n", + "0 640.0 HNZ 200.0 True False 80.0 \n", + "1 62.0 HNZ 200.0 True False 127.0 \n", + "2 601.0 HNZ 200.0 True False 127.0 \n", + "3 387.0 HNZ 200.0 True False 135.0 \n", + "4 1605.0 HNZ 200.0 True False 125.0 \n", + "5 60.4 HNZ 200.0 True False 140.0 \n", + "6 112.5 HNZ 200.0 True False 130.0 \n", + "7 741.0 HNZ 200.0 True False 120.0 \n", + "8 52.2 HNZ 200.0 True False 55.0 \n", + "9 55.4 HNZ 200.0 True False 55.0 \n", + "10 90.2 HNZ 200.0 True False 57.5 \n", + "11 56.4 HNZ 200.0 True False 55.5 \n", + "12 53.3 HNZ 200.0 True False 55.5 \n", + "13 116.9 HNZ 200.0 True False 55.5 \n", + "14 78.8 HNZ 200.0 True False 55.5 \n", + "15 126.0 HNZ 200.0 True False 120.0 \n", + "\n", + " time_pick2 freqmin freqmax qc_test \n", + "0 100.0 2.0 8.0 True \n", + "1 145.0 2.0 10.0 True \n", + "2 145.0 2.0 9.0 True \n", + "3 160.0 2.0 9.0 False \n", + "4 140.0 0.5 10.0 True \n", + "5 175.0 4.0 10.0 True \n", + "6 175.0 2.5 10.0 True \n", + "7 155.0 2.5 8.0 True \n", + "8 75.0 2.5 8.0 False \n", + "9 75.0 2.5 8.0 False \n", + "10 70.0 2.5 8.0 True \n", + "11 70.0 2.5 10.0 True \n", + "12 70.0 2.5 7.5 True \n", + "13 70.0 2.0 10.0 True \n", + "14 70.0 2.0 10.0 True \n", + "15 175.0 2.0 10.0 True " + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from obspy import read_inventory\n", + "st_inv = read_inventory(\"station_inventory.xml\")\n", + "\n", + "import pandas as pd\n", + "st_df = pd.read_csv(\"station_dataframe_processed.csv\")\n", + "\n", + "import json\n", + "\n", + "with open(\"event_selection.json\", \"r\") as f:\n", + " event_selection = json.load(f)\n", + "\n", + "from obspy import UTCDateTime\n", + "event_time = UTCDateTime(event_selection[\"event_time\"])\n", + "start_time = UTCDateTime(event_selection[\"start_time\"])\n", + "end_time = UTCDateTime(event_selection[\"end_time\"])\n", + "event_lat = event_selection[\"event_latitude\"]\n", + "event_lon = event_selection[\"event_longitude\"]\n", + "event_dpt = event_selection[\"event_depth\"]\n", + "\n", + "from obspy.clients.fdsn import Client\n", + "client = Client(\"https://service.earthscope.org\")\n", + "\n", + "# Check that the processing columns from Notebook 2 are available\n", + "required_columns = [\"time_pick1\", \"time_pick2\", \"freqmin\", \"freqmax\", \"qc_test\"]\n", + "\n", + "missing_columns = [col for col in required_columns if col not in st_df.columns]\n", + "\n", + "if missing_columns:\n", + " raise ValueError(\n", + " f\"The station dataframe is missing these required columns: {missing_columns}. \"\n", + " \"Return to Notebook 2 and save the processing parameters before running Notebook 3.\"\n", + " )\n", + "\n", + "st_df" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "8015fcb8", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'event_time': '2018-11-19T11:09:13.130000Z',\n", + " 'event_latitude': 47.711333333333,\n", + " 'event_longitude': -123.55416666667,\n", + " 'event_depth': 39.42,\n", + " 'start_time': '2018-11-19T11:07:13.130000Z',\n", + " 'end_time': '2018-11-19T11:17:13.130000Z'}" + ] + }, + "execution_count": 56, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "event_selection" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "9ddaccd3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total stations in dataframe: 16\n", + "Stations passing QC: 13\n" + ] + } + ], + "source": [ + "# Keep only stations that passed the Notebook 2 QC step\n", + "st_df[\"qc_test\"] = st_df[\"qc_test\"].astype(bool)\n", + "usable_df = st_df[st_df[\"qc_test\"] == True].copy()\n", + "\n", + "print(f\"Total stations in dataframe: {len(st_df)}\")\n", + "print(f\"Stations passing QC: {len(usable_df)}\")" + ] + }, { "cell_type": "markdown", "id": "24c0c2ce", "metadata": {}, "source": [ - "#### **1.2 Retrieve or load processed waveforms**" + "#### **1.2 Stream waveforms**" + ] + }, + { + "cell_type": "markdown", + "id": "5f359699", + "metadata": {}, + "source": [ + "In Notebook 2, we used waveform plots and spectrograms to choose a trimming window and filter band for each station. Here, we apply those saved choices.\n", + "\n", + "For each station, we will:\n", + "\n", + "1. request the waveform window from the data service;\n", + "2. merge traces if needed;\n", + "3. trim the waveform using `time_pick1` and `time_pick2`;\n", + "4. remove the instrument response;\n", + "5. apply the saved bandpass filter;\n", + "6. store the processed trace temporarily in memory for the scientific workflow." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "b273d5fb", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "from scipy import signal\n", + "import numpy as np\n", + "\n", + "# Function to process waveform data for a specific station in the DataFrame\n", + "def retrieve_process_waveform(station_dataframe, row_number, start_time, end_time, st_inv):\n", + " # -------------------------------------------------------------\n", + " # 1. Retrieve waveform data and go through the processing steps\n", + " # -------------------------------------------------------------\n", + " st = client.get_waveforms(network=station_dataframe.iloc[row_number].network, \n", + " station=station_dataframe.iloc[row_number].station, location=\"*\", \n", + " channel='HNZ', starttime=start_time, endtime=end_time)\n", + "\n", + " if len(st)>1: # Check if there are multiple traces in the stream\n", + " st.sort() # Sort the traces in the stream by start time\n", + " st.merge(method=1, fill_value=\"None\") # Merge the traces in the stream\n", + " #(change fill_value for gaps/overlaps)\n", + " tr = st[0] # Get the trace from the stream\n", + "\n", + " tr_trim = tr.copy() # Trim the trace to the specified time window\n", + " tr_trim.trim(starttime=tr.stats.starttime+station_dataframe.iloc[row_number].time_pick1, \n", + " endtime=tr.stats.starttime+station_dataframe.iloc[row_number].time_pick2)\n", + " \n", + " tr_corrected = tr_trim.copy() # Apply instrument response\n", + " tr_corrected.remove_response(inventory=st_inv, output=\"ACC\") # Specify output units\n", + "\n", + " tr_filt = tr_corrected.copy()\n", + " tr_filt.detrend(\"demean\") # remove DC offset\n", + " tr_filt.detrend(\"linear\") # remove linear trend\n", + " tr_filt.taper(max_percentage=0.05, type=\"hann\") # taper the ends to zero\n", + " tr_filt.filter(\"bandpass\",\n", + " freqmin=0.5,#station_dataframe.iloc[row_number].freqmin,\n", + " freqmax=10,#station_dataframe.iloc[row_number].freqmax,\n", + " corners=4,\n", + " zerophase=True)\n", + " return tr, tr_filt" + ] + }, + { + "cell_type": "markdown", + "id": "b0a5d13c", + "metadata": {}, + "source": [ + "Now, loop through stations" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "4ad054f9", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Processing station 1/13: NLWA\n", + "Processing station 2/13: BILS\n", + "Processing station 3/13: BLN\n", + "Processing station 4/13: HURR\n", + "Processing station 5/13: LWCK\n", + "Processing station 6/13: MAC\n", + "Processing station 7/13: OOW2\n", + "Processing station 8/13: QCMM\n", + "Processing station 9/13: QFRZ\n", + "Processing station 10/13: QOCL\n", + "Processing station 11/13: QSKT\n", + "Processing station 12/13: QTNB\n", + "Processing station 13/13: UPL\n" + ] + } + ], + "source": [ + "waveforms = []\n", + "for row_number in range(len(usable_df)):\n", + " print(f\"Processing station {row_number+1}/{len(usable_df)}: {usable_df.iloc[row_number].station}\")\n", + " tr, tr_filt = retrieve_process_waveform(usable_df, row_number, start_time, end_time, st_inv)\n", + " waveforms.append((tr_filt))" ] }, { @@ -83,74 +692,1361 @@ }, { "cell_type": "markdown", - "id": "0e2d30a8", + "id": "5f87f3c6", + "metadata": {}, + "source": [ + "Now that the waveforms have been reconstructed using the saved processing recipe, we can run an automatic phase picker.\n", + "\n", + "Here we use a pretrained SeisBench model to identify possible P and S arrivals. These picks are not treated as final interpretations. They are candidate measurements that we will inspect, score, and use for waveform comparison." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "35db3e68", "metadata": {}, + "outputs": [], "source": [ - "#### **1.4 Cross-correlate waveforms around P and S arrivals**" + "# SeisBench for automatic phase picking\n", + "import seisbench.models as sbm\n", + "\n", + "# Load pretrained SeisBench PhaseNet model\n", + "model = sbm.PhaseNet.from_pretrained(\"original\")" ] }, { "cell_type": "markdown", - "id": "2aa7bf2e", + "id": "db8b2f08", + "metadata": {}, + "source": [ + "Here, we will go through every waveform and use PhaseNet model to automatically pick the P arrival. If PhaseNet fails to pick a P arrival, we will add `None` for that waveform" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "6bfa62cf", "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Processing waveform for station NLWA\n", + "P arrival time: None\n", + "\n", + "Processing waveform for station BILS\n", + "P arrival time: 2018-11-19T11:09:23.590000Z, Probability: 0.9462668299674988\n", + "\n", + "Processing waveform for station BLN\n", + "P arrival time: 2018-11-19T11:09:23.390000Z, Probability: 0.8592743873596191\n", + "\n", + "Processing waveform for station HURR\n", + "P arrival time: 2018-11-19T11:09:20.630000Z, Probability: 0.9430045485496521\n", + "\n", + "Processing waveform for station LWCK\n", + "P arrival time: 2018-11-19T11:09:36.670000Z, Probability: 0.8900146484375\n", + "\n", + "Processing waveform for station MAC\n", + "P arrival time: 2018-11-19T11:09:28.840000Z, Probability: 0.9405606985092163\n", + "\n", + "Processing waveform for station OOW2\n", + "P arrival time: 2018-11-19T11:09:22.670000Z, Probability: 0.9398932456970215\n", + "\n", + "Processing waveform for station QCMM\n", + "P arrival time: None\n", + "\n", + "Processing waveform for station QFRZ\n", + "P arrival time: 2018-11-19T11:09:28.025000Z, Probability: 0.631170928478241\n", + "\n", + "Processing waveform for station QOCL\n", + "P arrival time: 2018-11-19T11:09:27.840000Z, Probability: 0.7547444105148315\n", + "\n", + "Processing waveform for station QSKT\n", + "P arrival time: 2018-11-19T11:09:28.960000Z, Probability: 0.8510910272598267\n", + "\n", + "Processing waveform for station QTNB\n", + "P arrival time: 2018-11-19T11:09:28.310000Z, Probability: 0.8222110271453857\n", + "\n", + "Processing waveform for station UPL\n", + "P arrival time: 2018-11-19T11:09:28.920000Z, Probability: 0.9510567784309387\n", + "\n" + ] + } + ], "source": [ - "The purpose of this section is to execute the main scientific analysis" + "# Combine reconstructed processed traces into a single Stream object\n", + "from obspy import Stream\n", + "min_len = 31\n", + "p_picks = []\n", + "p_probs = []\n", + "for w in waveforms:\n", + " print(f\"Processing waveform for station {w.stats.station}\")\n", + " st3 = Stream()\n", + " for comp in [\"Z\", \"N\", \"E\"]:\n", + " tc = w.copy()\n", + " if tc.stats.endtime - tc.stats.starttime < min_len:\n", + " tc.trim(tc.stats.starttime, tc.stats.starttime + min_len,\n", + " pad=True, fill_value=0.0)\n", + " tc.stats.channel = w.stats.channel[:-1] + comp\n", + " st3 += tc\n", + "\n", + " picks = model.classify(st3, P_threshold=0.3).picks\n", + " p_pick = [p for p in picks if p.phase == \"P\"]\n", + " if not p_pick:\n", + " p_pick = None\n", + " p_picks.append(None)\n", + " p_probs.append(None)\n", + " print(f\"P arrival time: {p_pick}\\n\")\n", + " else:\n", + " best = max(p_pick, key=lambda p: p.peak_value)\n", + " p_picks.append(best.peak_time)\n", + " p_probs.append(best.peak_value)\n", + " print(f\"P arrival time: {best.peak_time}, Probability: {best.peak_value}\\n\")" ] }, { "cell_type": "markdown", - "id": "5f5c3475", + "id": "22150e2a", + "metadata": {}, + "source": [ + "Below, we will visually confirm the automated P arrival picks for our waveforms. Only use this visualization recipe if you have less than 20 waveforms after filtering." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "3849d5ab", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "If several stations recorded the same earthquake, their waveforms may contain similar arrivals shifted in time because seismic waves reach each station at different times. Cross-correlation gives us a way to compare waveform similarity and estimate relative delay times." + "import matplotlib.pyplot as plt\n", + "\n", + "plt.figure(figsize=(10, len(waveforms)+1))\n", + "for i in range(len(waveforms)):\n", + " if p_picks[i] is not None:\n", + " P_pick_sec = p_picks[i] - waveforms[i].stats.starttime \n", + " plt.subplot(len(waveforms), 1, i+1)\n", + " plt.plot(waveforms[i].times(), waveforms[i].data)\n", + " if p_picks[i] is not None:\n", + " plt.axvline(x=P_pick_sec, color='r', linestyle='--', label='P Pick')\n", + " plt.legend()\n", + " plt.title(f\"Station: {usable_df.iloc[i].station} ({usable_df.iloc[i].network})\")\n", + " plt.grid()\n", + "plt.tight_layout()" ] }, { "cell_type": "markdown", - "id": "f6d2ccff", + "id": "61868b40", + "metadata": {}, + "source": [ + "Here, assign a P arrival time for waveforms where PhaseNet failed to identify the P-arrival. Then visually confirm that that the picks have been assigned." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "3b9dc882", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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3d+5cVqPR+Lyfr/fFVXV1NSuTydjvvvvO7TaDwcC++OKLbL9+/VilUslqNBp23Lhx7Pfff+/18Z5++mkWAJudne122++//84CYENCQliLxeJ2e1NTE6tQKNivvvqq3XYTQkhPx7BsJ8sJEUIIIeeAV155Bc8//zyeeeYZn1monubOO+/E8ePHsWnTpoC244MPPsDbb7+NU6dOOZX4J4SQcxEFV4QQQs579957LxYsWIDPP/8cd999d6Cb0yVKSkrQp08frFmzxmuhie5mNpuRlZWFp556Cvfdd19A2kAIIWcSBVeEEEIIIYQQ0gWoWiAhhBBCCCGEdAEKrgghhBBCCCGkC1BwRQghhBBCCCFdgIIrQgghhBBCCOkCtIiwFzabDRUVFQgJCQHDMIFuDiGEEEIIISRAWJaFVqtFYmIiJBLv+SkKrryoqKhASkpKoJtBCCGEEEIIOUuUlpYiOTnZ6+0UXHkREhICgHsDQ0NDA9oWs9mMlStXYubMmZDL5QFtC+kc2oc9G+2/no/2Yc9H+7Dno33Ys53v+6+lpQUpKSlijOANBVdeCEMBQ0NDz4rgKigoCKGhoeflwXzWsVqBTZu4y5MmAVJpu3ehfdiz0f7r+Wgf9ny0D3s+2oc9G+0/TnvThSi4IqSjDAZg6lTucmsroNEEtj2EEEIIIeSsQNUCCSGEEEIIIaQLUHBFCCGEEEIIIV2AhgUScg74cUcJ9hQ34rUrB0Mho3MmhBBCyLnIarXCbDYH5LnNZjNkMhkMBgOsVmtA2tCd5HI5pH7Mo28PBVeE9HC1WiOe/v0gACBncAKm9osNcIsIIYQQ0pVYlkVVVRWampoC2ob4+HiUlpaes2vAhoeHIz4+/rReHwVXhPRwJQ068fKxai0FV4QQQsg5RgisYmNjERQUFJDgxmazobW1FcHBwT4X0e2JWJaFXq9HTU0NACAhIaHTj0XBFSE9XGWzQbxc5XCZEEIIIT2f1WoVA6uoqKiAtcNms8FkMkGlUp1zwRUAqNVqAEBNTQ1iY2M7PUSQgitCOkouB95+2345wOq0RvFyvc4UwJYQQgghpKsJc6yCgoIC3JJzn/Aem81mCq4IOWMUCuCJJwLdClGr0SJerm81+tiSEEIIIT3VuTrP6WzSFe/xuZfTI+Q8o3UIrhooc0UIIYQQEjAUXBHSUVYrsHMn9+8sKEXaarAHVzqTxceWhBBCCCE9W3p6Oj744AO/tv32228RHh7ere1xRcEVIR1lMABjxnD/DIEvIOE4LNAx0CKEEEIICaTbbrsNDMOAYRgoFAr06tULL7/8MiwW7/2V9PR08T4ajQYjRozAr7/+Kt6+c+dO3H333Wei+Z1CwRUhPZzOMbgyWsCybABbQwghhBBid9FFF6GyshInTpzAY489hhdffBHvvPOOz/u8/PLLqKysxN69ezF69Ghcf/312Lp1KwAgJibmrC7uQcEVIT2cyWoPpsxWFkaLLYCtIYQQQgixUyqViI+PR1paGu69915Mnz4df/31l8/7hISEID4+Hn369MH8+fOhVquxZMkSAO7DApuamvDPf/4TcXFxUKlUGDRoEJYuXerxcWtrazFq1ChceeWVMBq7pwgYVQskpIezWJ2DqVajBSp558qHEkIIIaQH0em83yaVAiqVf9tKJAC/zpPXbW1dc/JWrVajvr7e7+1lMhnkcjlMJveiXTabDRdffDG0Wi2+//57ZGVl4ciRIx7LqJeWlmLGjBkYN24cvv76606XWm/PGclczZ8/H+np6VCpVBg7dix27Njhc/tff/0V/fr1g0qlwuDBg5Gbm+t0O8uyeP7555GQkAC1Wo3p06fjxIkTTts4jtcU/r355ptd/toICTSza3BF864IIYSQ80NwsPd/V1/tvG1srPdtL77Yedv0dLdtJKGhp9VUlmWxevVqrFixAhdeeKFf9zGZTHjjjTfQ3Nzs8T6rV6/Gjh078Pvvv2PGjBnIzMzEpZdeiotdXs+xY8cwYcIEzJo1C9988023BVbAGQiufv75Z8ybNw8vvPAC9uzZg6FDh2LWrFmoqanxuP3WrVtxww034M4778TevXsxe/ZszJ49G4cOHRK3efvtt/HRRx9hwYIF2L59OzQaDWbNmgWDS3EBYbym8O/BBx/s1tdKSCA4DgsEnAtcEEIIIYQE0tKlSxEcHAyVSoWLL74Y119/PV588UWf9/nXv/6F4OBgBAUF4a233sKbb76JSy65xG27ffv2ITk5GX369PH6WG1tbZg0aRKuuuoqfPjhh92+Xli3Dwt87733cNddd+H2228HACxYsAB///03/vOf/+Cpp55y2/7DDz/ERRddhCf4RVpfeeUVrFq1Cp988gkWLFgAlmXxwQcf4Nlnn8UVV1wBAPjvf/+LuLg4LF68GHPmzBEfSxivSci5zHVYoJYyV4QQQsj5obXV+22u2RkviQ0A3LBAR0VFbpvYbLZOLUEzdepUfPbZZ1AoFEhMTIRM1n748cQTT+C2225DcHAw4uLivAZEasehjF4olUpMnz4dS5cuxRNPPIGkpKQOv4aO6NbgymQyYffu3Xj66afF6yQSCaZPn468vDyP98nLy8O8efOcrps1axYWL14MACgsLERVVRWmT58u3h4WFoaxY8ciLy/PKbh688038corryA1NRU33ngjHn30Ua871Gg0Ok1sa2lpAQCYzWaYzeaOvfAuJjx/oNtB7CTPPgsAsAGAH/ulO/ehyeL8RdesM9Cx0sXoM9jz0T7s+Wgf9ny0DzvHbDaDZVnYbDYuwHHUXnDhuP1pbsuyLKDVim3xB8uyCAoKQmZmpsPTtH/fqKgo8T4sy7pVQhbaMGjQIJSVlSE/P99j9spms0EikWDhwoW46aabMHXqVKxduxaJiYken9dms4FlWZjNZrehg/4et90aXNXV1cFqtSIuLs7p+ri4OOTn53u8T1VVlcftq6qqxNuF67xtAwAPPfQQRowYgcjISGzduhVPP/00Kisr8d5773l83jfeeAMvvfSS2/UrV648a8o9rlq1KtBNIIJRo7j/V6/u0N26Yx82tUgBMJAzLMwsg807dsNYSOXYuwN9Bns+2oc9H+3Dno/2YcfIZDLEx8ejtbXVY1GHM02r1fq9rdlshsViEZMW/rDZbDAYDF7v43j78OHDkZ2djauuugqvvfYaMjMzcfz4cTAMg+nTp8NgMIBlWeh0Onz66af4xz/+gQsvvBBLlixxiyUALjHU1taGjRs3uq3Fpdfr/Wr/OVst0DH7NWTIECgUCvzzn//EG2+8AaVS6bb9008/7XSflpYWpKSkYObMmQg9zQl8p8tsNmPVqlWYMWMG5HJ5QNtCOqc79+E7RzcCBgMiglWo0RrRZ8Ag5IxO6dLnON/RZ7Dno33Y89E+7PloH3aOwWBAaWmpOG8pUFiWhVarRUhIiN/zluRyOWQyWYf60hKJBCqVyut9XG//448/8MQTT+Cuu+6CTqdDr1698PrrryM0NBQqlQoMw4jb/vLLL5gzZw6uvPJKrF27FrGxsU6PbTAYoFarMXnyZLf32t8AsVuDq+joaEilUlRXVztdX11d7XUuVHx8vM/thf+rq6uRkJDgtM2wYcO8tmXs2LGwWCwoKipC37593W5XKpUegy65XH7WfAGcTW05r9lswNGj3OX+/d3HKfvQHfvQbOOyVKFqOWq0RpisoOOkm9BnsOejfdjz0T7s+WgfdozVagXDMJBIJJB0oM/R1YThfEJb/LFw4cIOP0+Rh/levm6Pjo7GN99843HbO+64A3fccYf4t0KhwO+//+71sSUSCRiG8XiM+nvMduseUigUGDlyJNasWSNeZ7PZsGbNGowfP97jfcaPH++0PcClj4XtMzIyEB8f77RNS0sLtm/f7vUxAa6aiEQicYtQCemwtjZg0CDuX1tboFsDC18tMFTFnStpM3V8sikhhBBCCDl93T4scN68eZg7dy5GjRqFMWPG4IMPPoBOpxOrB956661ISkrCG2+8AQB4+OGHccEFF+Ddd9/FJZdcgp9++gm7du3CF198AYCLlh955BG8+uqr6N27NzIyMvDcc88hMTERs2fPBsAVxdi+fTumTp2KkJAQ5OXl4dFHH8XNN9+MiIiI7n7JhJxRJr5aYKiaO6PSZqbgihBCCCEkELo9uLr++utRW1uL559/HlVVVRg2bBiWL18uTiIrKSlxSi1mZ2dj0aJFePbZZ/Hvf/8bvXv3xuLFizFo0CBxmyeffBI6nQ533303mpqaMHHiRCxfvlwcG6lUKvHTTz/hxRdfhNFoREZGBh599FG3KoSEnAuERYRDVRRcEUIIIYQE0hkpaPHAAw/ggQce8Hjb+vXr3a679tprce2113p9PIZh8PLLL+Pll1/2ePuIESOwbdu2TrWVkJ5GHBaopmGBhBBCCCGBFLhZcYSQ02azsbAIBS0oc0UIIYQQElAUXBHSg5kdFuIT51xR5ooQQgg55/i7cC/pvK54j8/Zda4IOR8IQwIBylwRQggh5yKFQgGJRIKKigrExMRAoVD4vc5UV7LZbDCZTDAYDAEtCd8dWJaFyWRCbW0tJBIJFApFpx+LgitCOkouBx5/3H45gIRiFgDNuSKEEELORRKJBBkZGaisrERFRUXA2sGyLNra2qBWqwMS3J0JQUFBSE1NPa3gkYIrQjpKoQDeeSfQrQAAmPnMFcMAGiUfXFHmihBCCDmnKBQKpKamwmKxwGoNzO+82WzGxo0bMXny5HNyEWipVAqZTHbagSMFV4T0YELmSi6RIEguBUCZK0IIIeRcxDAM5HJ5wAIbqVQKi8UClUp1TgZXXYWCK0I6ymYDSkq4y6mpQADHHYvBlZRBkIIyV4QQQgghgUTBFSEd1dYGZGRwl1tbAY0mYE0RhgXKZRKoFVyQR8EVIYQQQkhgnFulPgg5zwiZK5lEAhU/LFBPwwIJIYQQQgKCgitCejAhuFI4DAs0WWyw2lhfdyOEEEIIId2AgitCejBhWKBMKoGaz1wBgIGGBhJCCCGEnHEUXBHSgzkWtFDK7B9nGhpICCGEEHLmUXBFSA9mEQpaSCWQSBgxe0WZK0IIIYSQM4+CK0J6MHvmivsoqxX8WlcUXBFCCCGEnHFUip2QjpLJgPvus18OIJPDsEAAYuaKhgUSQgghhJx5FFwR0lFKJTB/fqBbAcB5WCAAqOTc/zQskBBCCCHkzKNhgYT0YDQskBBCCCHk7EGZK0I6imWBujrucnQ0wDABa4rrsECVjC9oQcMCCSGEEELOOAquCOkovR6IjeUut7YCGk3AmmJxWOcKsGeuDBYKrgghhBBCzjQaFkhIDyYMC1SIc674YYEmW8DaRAghhBByvqLgipAezOw6LJDWuSKEEEIICRgKrgjpwcyuwwL5aoFU0IIQQggh5Myj4IqQHsytWiBlrgghhBBCAoaCK0J6MIs454qGBRJCCCGEBBoFV4T0YCaXYYFiQYvzPLiq0Rpw7/e7sexgZaCbQgghhJDzCJViJ6SjZDJg7lz75QDyuojweV4t8NN1p7DsUBWWHarC0ZcvEt8XQgghhJDuRMEVIR2lVALffhvoVgDwMCxQxgVZ5/s6V7uLG8XLe0sbkZ0VHcDWBN6vu0pxsqYVj0zvQ4EmIYQQ0o0ouCKkB3MdFiguImw6v4OrU7Wt4uWCWt15HVxVNrfhid8OAACSI9S4ZXx6YBtECCGEnMNozhUhHcWygE7H/WPZgDbFdVigWNDiPM5c6YwW6B2Cy5IGfQBbE3g7i+xZvLyC+gC2hBBCCDn3UXBFSEfp9UBwMPdPH9iOu8XLIsJtHjJXtVojLvt4Mx77ZT9stsAGhR31y85S3PzVdhyv1ra7ba3W6PR3UZ2uu5rVIzi+/lM15/d7QQghhHQ3Cq4I6cGERYRd17lqM7sXtPhlVykOljfjf3vKsK+s6Yy18XS1Gi146vcD2HyyDi/+dbjd7WtcgqvzPXPlGFyVNnbsvTCYrWIATwghhJD2UXBFSA/mbVig0UMp9oNlzeLlvSVN3d+4LnKgtAlCom1XcaP4mr0RMlehKm5KaXWLoVvbd7YrqrcHV3qTFTqjxa/77ShswNCXVuK6z/Pafc8JIYQQwqHgipAeTOj0yvhhgWof61wV1NmLPJysaXW7/Wy1t7RJvGyy2HCi2nfba7VcMDUgMRQA0Kg3w2Q5f4ODiibn4LKu1ehlS2dfbiqA0WLDnpImbD5Z1x1NIw6qmg20+DchhJwDKLgipAcThgUqxGqB3P+egivH4XLlTW1noHVd41iV8zyrQ+XNXrbkNOhMAICsmGBxLpq/AcW5hmVZNOi590PCvRV+vRcsy2JnUYP4987CBh9bk9O1/FAlxr2xBnO+2AY2wEVyCCGEnB4KrgjpwVyHBSplfLVAl+DKZLGhSW8W/67pQUPlyvh5QjEhSgBAQTsFKnR8MY8QlRzRwdx9XItcnC/0JquYtesTFwLAv/eiRmt0Ol6OVrZ0TwMJAODnnaUAgH2lTU7LCBBCCOl5KLgipAdzGxYorHNltjlVBKzXOXeoXYs+nM2ELFt2VhQAoKShneCKn1OkUUjFgKynBFc2G4vfdpdhV5F/maImvQlv5B7FDi+ZJSGLp5RJkBoZBMC/98K1wmJ+VftVGknnOb6/hysokCWEkJ6MgitCOkoqBa65hvsnlQa0KW7DAuX29hgd5hnVablOtkLGbdegM/WIeUhGixXVLVwwYA+ufFe8EzJXGqUMsXxw1VOCyf9sKcTjv+7HTV9t9yu7+OziQ/h8YwHu+X63x/0pBFeRGgWi+feirtXU7uMW8+/x0JRwAEBlswEtBrOPe5x9mvXmdoeQng30Jgsqm+37uqCWyuUTQkhPRsEVIR2lUgG//sr9U6kC2hTXzJXKIbhyHBpY28p13nrHBouBWG0XzUOy2Vh8takAn64/2eVluyv5YgwquQTDUyMAAMX1ep/zUoTMVbBS5jNzdbiiGUsPVJxVc1yWHaoCwAXGa/Jr2t1+w/FaAFwQtc+h8IfAMbgKU8sBAFpD+9UCS+q54GpgYqg4tLInrRdmsthw1WdbcOnHm/HuymOBbo5PjoEVcG5Wt7RYbVSsgxBy3qDgipAezHXOlVTCiMGTY1ELIVsRHawUA46umne1aEcJXv37KN5efgxfby7skscUlDVyQwKTwtVIieCGtWkNFjS3ec+itPLBVZBSihhhzlWr82tt1ptx/efb8MCivfhvXnGXtrmzrDYWRxyGhB0oa79wh2Og5ClL4xhchaq44MqfDJQwFDM1MgiZ0RoAQOEZCq6E9+F0gt4tJ+twis8Afbul6Kzu2Fe7BFdVfn4uWZZF7sHKsz4719xmxswPNmLkK6uwp6Qx0M0hZ1CN1oCrP9uKuf/Z0eMy34ScDgquCDmLtPq5BpHAYnNeRBjgsjyAc+aqhQ9GwoPkiNBwnewmHwFKR/y+p0y8/OvuMh9bdlx5E5dBSY4IglohFYf5Fdd7HxqoN/FzrpQyxIRymcWaFufM1Y6iBvG9/mt/RZe2ubMK63ROAfGJat/znFwLH5zwUF6/Ue8QXKm5db9a/NjvNXw5+7hQJdKjg8T2dVRhnQ4bj9d2KFB65Od9yPloE17PPdrh5xPsLrZ34rVGC9Yfq+30Y3U312Cqqtm/4GrRjhLc98MeXPXZVrHoy9not91lKKjVQWey4pO1JwPdHHIGLVhfgN3FjdhwvBZfbCgIdHMIOWMouCKko3Q6gGG4f7qOdTgNZiv+PlDp8Uz6W8vzMeiFFfhyo/8/QmaLkLlixOtUHta6anUYKicMD2vWn35wZbLYcKjcnm05WdOKgi6sdiZmriLUACAWZSj10ZnUGfk5VwoZYoIVANzLjx8saxIvH61sgdXmX+ffaLFh+aFKNOo8z1tqbjNjd3Fjp7IuwtpjSn5e3LFqrc/HOeUSTJ2scQ/G6vl2RgR1LHMlBKMxwSpkRAcD6PiwwPpWIy77eDNu/c8O/OZn0G0wW7GED3a/3FTY6WGm+VXcMSnl689vON7+EMtAEYYFDkri1mXzd1jg//j31GSxYdnBqna3r9EacPGHm3DFJ5vPaIGXpQfsJy+2FdTTgtTnCZuNxR977Z/7P/eXn1VDsDuqzWTF7d/swJR31mErrftH2kHBFSFn0Ku5+bh/0R489b8DTte3Gi34bP0pAMB7q447VfrzxWR1z1zZKwY6BFf88LFglUNw5SWDsf5YDS76YCMe+WkvKpt9r4d1vFoLk9WGUJUMo9O5OVF7Spr8ars/hOFpSeFccJXI/1/Z5L0DKlYLVDpUC3QJrg45DL/Tm6x+Z2Ue/+0g7vl+D279zw63jgLLsvjHwp24+rOt+JTflx1Rwb/WSb1jIGG44Y++OsFCxkMoOnHKQyEEIQiM0igQyu/3lrb2s6PC+xUbqkRGJzNXq45Ui0G9vxnNwxXOQ9yKfGQofTlayQWad0/OBABsPF531nbshGBqGL8fG/Xmdocxmiw2p2N4v8PJAm++3lyIo5Ut2F/WjC83dSyL0Nn3zmK1OQ111Zus7Q537Qq7ixtx13934YuNp87a/X6uK6hrRSN/Ak8hlaC0oa1HVx39v5XHsO5YLYrq9Xjyfwf8/o0m5ycKrgg5g37eVQ4AWLyvwilbku+wjlCb2epxiJcnFpvznCsAUMns5dgFQic3RClDmJrL5jR5yFyZLDY89st+5FdpsXhfBaa8sx63fL0d+z0USwCAI3y7ByaGYWhyOADggB8dPX+V85mrZD5zlRDODfOr8BH02Uuxy8RiDEK1REFRvXOg4LpQsSetZmD54WoAwMHyZreS2VUtBuws4oajLdxa1O7juRKCq4zoIDGILPZRGVGYTzUsOUz8WxgSKRAzVxoFQlX8sMB2MldGi1U8NmJDlGLmqrBO16GOquNQvEPlzX51RvaXOne8hQxURxjMVjEov3lcGhQyCcqb2lBQ5/29LKnXi8eNqwadCQe7MSAQMld940LEDHSDl8yo4Hi11qk65MF25l2xLIs/9pSLf68+Uu13+77LK8KgF1Zg3i/7OhyoFNXrYLTYEKSQYlLvaAD+fdZOh95kwT8W7sSqI9V4PTcfvzu87u6iM1rw7spjWHm4/Qzi+WIf/1kenR6B7F5cpdctPTTj02Iw48cdJeLfZY1t2NxDXws5Myi4IuQMcU0YOJYUP+KySOsJD0O8PPE4LJDPXLWZ7Ge/tZ6GBXrIXO0obBA75ENTwmG02LDpRB3u+2GPx+E8xXyQkhWrwRD+zHt7Hb2OcM1cCf8LgYgrm42F3mwvxS4EV21mq9h5ZllWvP+oNC7b5hpseXKsmXH62/UMfH6lfZ/VaI0+i254IgSMieFqpEVx2SJfc8vq+SIl6dEahPCBkxCMCjxnrny3S8iWKaQShKnlYltaDBbxTLQ/jjnMGdObrH69x65l9juzeLEwpFEpkyAxTIUx6ZEAgE1eOkN/7ivH5HfW4Yr5W9yOcZPFhqs+3YLLPtncbkDCsiwqm9s6XDxDyFzFh6kRpeGO1/p2yuUL70u/eG5h6OJ6vdPn3VVZY5vTcgQFdTq/5mnVtBjw6t9HoTNZ8fuecmw60bEOpXACol98iLiI9UkvJ47qWo34b14RSttZaqE9f+2rcDpO31t1vMurmLp6d+VxfLz2JP75/W6Pw3PPR0KhlSHJ4ZjYiwusOxKQlDXq3U4WdYS/Q739sS6/BnqTFZkxGswZnQIA2Hi8c/M4Wwxmv+dVulqw4RSy31iD/+YVder+5Myh4IqQM6TaJR5w7Ai7Dpc4Ue1f5srsaVig3L1aoFieXCX3GVztK+UyL5cNTcQf92bjx7vGIVgpQ3lTG3Z6WKhWmBOVEhGE3rFchqOgtmMZDm+sNlb8ERLmXCWGCcGV5x+nNrMVwlMHK2XQKGUI4oNNIWio15lgMNvAMMB4fu0sf4a8FWqdgyvXjv9RlyxLRwODcofKiKmRXIW+Eh8BiTCPLCpYiWS+kmKZS9DZ4JS54kuxGy0+s0jC+xQTogTDMFDJpUgM4zKGhXX+HZdGi1UMvBP4+x6tbL/TKXT4e/HHkreOuC/CUNaEMBUYhsHkPnzH7kS9x+3/s6VIfK7tBc7H+P6yJnFo4h/7vGdAdhQ24MJ3N2D8G2sx9vU1WH/M/zlewjEeH6pClDBHUOd7TpQQqI5Mi0CIkgusfQVLe/nM89DkMAxI4OZ2Oc6V9ObX3WVO6+V1tDCIcNJoQGKouE+9nTh64tf9eP7Pw7jrv7tO6/tjLb+EwUMX9kKkRoHypjas7ECmrqNYlhXnlbEsuvW5TtfWk3UY9epqXP7JZrd5qF1NKLjTOzYYE/jgantBg1/rK/61vwIT31qHiz/cBG0HqwzqjBZc/3ke+j+3vMuq1248zgWFM/rHib8ZeQWev098qWo2YOo76zHxrbXY3METFeVNbXhzWT4qmg14ecmR095/zXoztp6sg9Fy9lZS7ckouCKkGzTqTG5nzmoMzp1zoRIeYA9S+vJnd/3JXLEsC7PNeZ0rwF7QwuOcK6UM4UFCcOV+dnw/n40ZmhwGiYTB+KwoXNgvFoC9g+ZIOMucEhmEDL5kd3Obud1hTQAXfPzzu11ezwBWtxhgsbGQSRjEhnAddGFYoLe5YEIQKWHsVRPFoYH8j5EQxMQEK9Gbf7/9KdZQoePe4wv6xABwzza6BgIdDq74gNEpc+XHsMAojULM6JW5ZK4aHKoFCtktlgVafZwRrnEIrgQZMUI5dv+yCkV1ethYIEQlw7hM/xZ/dmz/5N7ce9yZBXWrxEwQd6xM5vfX9qIGmF36da1Gi9MwVtdS4Y4nPbwNdz1ercXc/+wQA/TmNjMeWLQX9X50fqw2Vjwu48KUiAr2L3MlBHwZ0Rok+1HkRRjWOzQlHAMTueDK9fj1ZBUfKAgLeG891bEOoTDfakBCGLJi+MIoHk4YtBjMWMcHbvlVWr+OFW+EjEl2r2jcNDYVAPDVpoJum3vlmhX0dBLKkd5kwcdrTuCNZUe9ZuB9WXm4Ck/+tr/DQ2YtVhueXXwIda1GHChrxhu5+R1+7o4QPruZMcHoGxeC6GAF2sxW7PNj2Pin67iqksX1evx9oLJDz/vD9mJsL2yAyWrDm8uOnnYmlGVZbDrBHZuT+8RgTAaXCT9a2dLhLPU3WwtRrzPBYmMxf13HKmcu3ms/uWOxsU5/d5TWYMbFH27EjV9txz3f7aZ5id2AgitCutjSAxUY8eoqXP3ZVqfhKM0u/SXHjrCw1o1wVszXcDCB1caKWRqFU+bKQ3AlzLlqp6DFcX4o1wC+AwZA7Iy5FhtwfA3JEWqo5FKxk+9PJuiZPw5ixeFq3P/DHo9DOIQhgQnhKrHqm/D4da0mjz9sOpO9UiDDcPeJ5rMBQkZG6NAkRaiREcUFDe0NWWNZFhX8LrlkSAIA930kDO9KELM8/gcGBrNV7GQnhauRFunHsEAhuApWiHPSHLOhFqtN3MeRGgVUcqlYidDX0EChoxjrEFylRwnBlX+ZJOHkQK/YYKRECIGf/bVYrDYsPVAhLlYsENo/ic82FdfrOzykyzETBHAnLOJClTCYbShocc8+OvYrXI8Dx4Ii5Y1tHs+6v7zkCNrMVkzoFYW9z83AoKRQtBotfq2fVt9qhI3lTgZEaZSI1ijE630RTgakRWnE97e0wXtHXVhgelhKuPjZPuLh8+yoRmsQ7/evi/oB4Mr9+5N5ALjPjBhcJYaK2efKJoPb5911ra7tLgHK4YpmXPDOOly1YJvb96ij+lYjKvj9PzAxFLeM5+bc7Slpwo52gp7OEk46Cd9Re0qavHZWuaI3u/DuquP4fEMBrpi/Rfye80feqXrc98Me/LKrDLd/s7NDnfvdxY0ocPhOWryvvMvWOnTVZrLPe8yK0UAiYZCdxX2mt57yvR8adSankxobT/ifLWVZFj/tLBX/NltZp7lSnZFfpUWN1gi1XIpR6RFchlmjgI11H3HSnuWH7HPydhU3dGjY4zY+U5bOn3jr6BBdR//NKxY/J+uO1WLLyY5n4YhvFFwR0lFSKZCTw/2TSt1u/mJjAViW69A4jjHXmlwyVw4dYSETM5qfH+LP2TaLQwdF7iG4chwWKCw2q/Ex58pqs89FSuM70wAcOmPOZ0rNVpvYERcKMGTyGY72Mg5ag1msKqg1WjxOchdKuqdF2tsSppaLr6/Sw7h1ncMCwgIhAyMEL1UOQZCwhlNdq8nn8JNqrRFtVgZSCYMpfCakrtXo1LkROvVCpsYxuGrSm3yW2Bbuq5ZLER4kRyr/A+rtDL7VxjqtYZXsIYBpajOLgUM4v89DhHLsPioG1nrKXPFZySI/M1dCFq9XTLA4ZLHU4Xifv+4UHli0F9cs2Cq+hy0Gszg3cHR6JJQyCUxWm1s2rj3CcRHPDyFlGAaT+ExYfpPzZ/CwS6fe9XPnOPTGxrpnh07WaLH5ZB2kEgZvXjUEERoF7prEVShc4lCC3JvqFvt7LZUw4rDAeh+ZX5ZlxaA7IzoIKULmysuxYrbaxOBlWEo4BiZyBVBcC7K4WnuUG143JDkMQ5LDEKyUwWpjxeGe7anVGlGvM0HC8AEu/xotNlZcR03gWulyr0sG8fXcoyiu1+NgeQv+LPbebREqKGZGaxCikiM2RIVrRiYDAN5ZcaxDFd5O1bbij71lWH6IW6jZWyBzjM8gzR6WBIbhvle97b9lh6qw9VQ9FFIJ4kKVqNUa8ewfB/3KHBTV6XDvD7vF7/3KZkOHOtgb+BECVwxLxKi0CFhtLH7b07XrEgqE774wtRyR/AkDYd7V1lO+O/KOa9QBXEDpb2Zld3EjCmp1UMulePOqwQC4z+HpZGaEkRXjMiOhlEnBMIzX30RfarQGFNfrwTBAqEoGs5XFriL/FtW22VjxRMd9U3sBAHYVNfhc1oBlWWwvqBdPmDr6ax/33ST8lv6+t3uOg/MZBVeEdJRKBfz9N+p+/h1f76rE8kNV4pd3UZ3OqdCBY1lyLd93H5zEdW6ETr7OaEGLQehUcgUWWgyWdgsimBy+WB2HBSrFzJV7tUDHghau1QKrWgwwW1nIpYx41h+AOJynrLHN6YyzMHRJKmEQGcT9gGbynfBT7WQ4XL/wXRfEBexzdPonhIjXMQyDRGFooIczvvYy7DLxOmFYYC3fXuF9jwtVIUQlFzNbvgIHoTObGKZCTIhSnMflOKxHKKQwng+uhACzsrkN09/bgLGvrxHXJnIlPE5iODdPSAhuG3Qmj9X9GvUmMXCKDLIPC3Q8Cy4UswgPkkPGB9/iQsI+AslavuMrDMUE7MFVgZ/ZODG4ig32GPgt5ucv1WiN4twFIXsbqpIhWClzeM6OzbsSAlUhgwg4DOVsYpw6WkJnfEpf7nbXYLbOpRS+6/DRP/lOytS+MWKQc2G/WMilDApqde2u+VbtcCwCEIcF+ppPUa8zodVoAcNwi2uLmSsvwwKPVWlhtHDLJaRHacTPU2Wzwet6bQCw+ig3JHB6/zgwDIMs/sSJp8/q7uJGXDF/Cz5cfUK87jA/7DAzJhhqhRQyqUT8XnEtvCKs2SYcx47z80ob9E5n1vfWMV4ze0IQOYj/jgWA+6f2QpBCil3FjVjkRxaDZVm8uSwf097dgEd/3o97vt+DSz/ejBGvrMIP292zkcLnfGBiqNh+byeXvt/G3f/uyZlYdNc4yKUM1h2rxfp2iiNsOVmHaxbkoUlvxtCUcNzID3d0zIS0R8jcTewVjev5ogw/7yz1O+C0WG1+byscI5kxGnEEwQS+WuSB8hbU+0iYCUH/pUMSIJUwaNSbxZMQjqw21q3C58981uqSIQm4fFgilDKuBPyxdhZk92Wjw5BAwQAfozm82c0HUn3jQjCJfyx/h46fqm2F1mCBWi7F7GFJCA+SQ2ey+iwe9en6U7j+i224+MNNyHMIaMubuPdDwgAfzhkGgBv+25G5V0cbGeR8vAVXfrpFDPqIszMSXM2fPx/p6elQqVQYO3YsduzY4XP7X3/9Ff369YNKpcLgwYORm5vrdDvLsnj++eeRkJAAtVqN6dOn48SJE07bNDQ04KabbkJoaCjCw8Nx5513orW16xY3Jee3skY9Lv5wE15ZegT3fL8bby7jxq8vdTlb7TjcRQiuhGF2QsdK6OwHK2WI5YccAO1nr8wOw3PkEu+ZK5Zl/RoWKDxfUrhaHOICcB0/GX/G2TH7ImQ4ooMVkPDb2zMcvjvhx6qcP4ueOmzCWcH+CaFO1yd6CCQEOpO9DLtAXOuKb6/rsDFxyJuPM/IlDUJGLwgMw7gFMzqjRcy6CJmrCr5y3Px1J1HHB3YvLTmMJr17h7ZMDK64xw1WysTjwHXoHOBQqIIPnMSCFg6dVuHsuRD4ArAvJOxrWGCLfY0rgeN+9ecssGNwJQQd5Y1tYFkWWoPZKasnZI8qxaCoY1lQV5Uuc64ArmOkkElQ1cbgiEPHXejI5QzihnpWtzhnI4Ugh+8fugVfQuZg5sB48boQlRzDU7mTJDuLnIdAGcxWfLr+JNbwgUu1SyAbJQ4L9B70CO9dYhg3FNeeufKc4dvrMN9KImEQorJXgPQ270pvsoivbXr/OAD2kyye1lN75o+D2F/ahPdXHxfnAgkdxwEOn19haKDrZ1f4/OcM5t7H49VasSMvvIfDU8MxOCkUNjBYdthz0QihZP5gh+AqKVyNJ2b1BQC8tSzfLWvm6n97yrFgA7dO3ai0CAxPDUeoSga9yYpnFx9ym5cntD0rNhiZMUJRH/fvswadSTyRMGdMCrJignHr+HQAwAIv6+KxLIuP15zAzV9vR12rEX3jQvDlLSMxcwC3T1wzfN5Ybay4r4emhOOSIQkIUcpQXK/HhnaG3e0vbcItX29H/+eXY9CLK8T3xhfhGBWOGYDbDxN6RcFqY/H1ManXrLwwNLd/Qqh4ss61WFCN1oAZ72/AkJdW4t2Vx8TfuL8PcvOzrh+dgiCFTMyWdWTpAUd6kwU7C7n32Cm4SvB/3qJgF5+RG5Uegf58lU/XYYU2G4sFG07h+T8POc1bFo65IclhUMgkYgVU1wI8ju3+nN9PVhuLD9ccF28Tiu0MT43A9P5xiA1RQmuwYKufQwPrWo345rgEJ2p02FvShGsXbMXHa0502xDTnqrbg6uff/4Z8+bNwwsvvIA9e/Zg6NChmDVrFmpqPFdT2rp1K2644Qbceeed2Lt3L2bPno3Zs2fj0KFD4jZvv/02PvroIyxYsADbt2+HRqPBrFmzYDDYd+5NN92Ew4cPY9WqVVi6dCk2btyIu+++u7tfLjkPcOuo7EKt1ggNn8H4fGMBthfUYyk/+fb6UdyZQcdhA1oz10MTgiuhEyt29vnOoDBBvb1SycLwEJmEEYMbAFAruI+10Ek0mG1ixsmxoIXRYnPqSNrnTwU5PY9Uwohtc8zU1LZy7XYcPiZkXNqbM3bM5cfStcOmNZjFic9DksOcbvNVMbDVKJRhtw8LdC1o4fp+p/sREAqBZ2okXxLeZY6TEHRqFFKkRKoRqpKBZbmOwgqHjmCLweJxAVfHSoGCVB/l2IXXIgy5EdpTq7UHB0JWQtgGgFiOXRgm6om9w2/frymRQZBKGLSZrR7PIjuy2lgxw9UrNhjxYSpIGO54q9Ua3dZwEwIc10IUmdHeO/O+VPFDbB2zr2FqOWbwhVn+x697ZDBbcYI/oz2xd7Q4H81xnpUQFAsL/DpmXJr1ZrHIhdCJE4zgg6s9xU1O13+05gTeXn4Md/13F07WaN0CWeFYrfdRLbDAISsA2Pe9t7Xf9vHZ8+H8awAcOodehjVtOFYLo8WGlEi1mOkSvpdcA6OaFoNTJ1HIHng6OZLspfCK8JhCEKw3WcVM3F6+/SNSI5AziAu+Vh/1HBAc9JC5AoBbx6djSHIYtEYL3l1x3NNdAXCl999ZwZ0oe3xmH/x2bzb+uG8C9r8wE5cOSQDLcsUxBFYbK2a8M6M1YjDgKcO75WQdWJYrSy98x/5jUgbkUgbbCxs8BkqfrD2Jd1cdB8tyvymL75+A2FAVhvBrChbU6fxa8qGoXge9yQqVXILMaA2CFDIxe/XFBu/FPtYdq8G1C/Kw6UQdzFYWepMVby7LbzdjJnyXCidlBC9dPhCRGjnK9Qxu+3a3eNLPUYHDffvxx45rhueN3HwU1OpgtbH4eO1J/GdLEX7fUyaWSxeW2JjOB6GrjvpfvdPR9gKuMEZSuFrctwDEobX5lVq/S77v4k8SjE6PRN947nW5Blc/7SzFm8vy8d+8Yjz3p73PK3yPjOBfl1BUw/XkjWDN0Rq0GCxQSCVgGGBbQYP4vbEun/vsTO0bA4mEwSz+xJC/WdBFO0phtDFIiVBjev84mK0s3l11HGNeX4ML/289lh30XIDEbLXhtb+PYMKba3HPd7t9DpM/F3R7cPXee+/hrrvuwu23344BAwZgwYIFCAoKwn/+8x+P23/44Ye46KKL8MQTT6B///545ZVXMGLECHzyyScAuDM5H3zwAZ599llcccUVGDJkCP773/+ioqICixcvBgAcPXoUy5cvx1dffYWxY8di4sSJ+Pjjj/HTTz+hoqL9cfDnKhtfmcpbat/bxHGbjVu/paRe3+4CpF2h1WjBwq1FeOyX/fh8wymnL+C6ViM+XH0CLy05jO2dKIV6uliWxQuLduD3J2fi6HtXY9U/R+GGMdyP1PVfbEN+lRYKmQT/vICbd1HVYhDT7S1C5or/4dcaLdCbLA5n7LnOoKcJ6j/uKMHby/OdgiFhYrnjkEDAcRFhK/883BMzDBCkkCJYKYMQizn+MAudyjiHTqnA07AzcW5OsL0T7jhXyPEHm2VZp4yNMExj1kDux8+x5LjJYsMjP+2DyWJDVozG6ewnYM/ueKoYqHcY/ihwDa7EdYX41ylmZfzIXKXyHUwhuyIEBELAEceX/87g27zsYBVq+cnQn9w4HADwzZYi90IOTe7BlZBRK25wb5dYKZB/bRFBcrehikKlwAjH4MqPhYSrmt2PA7lUIh6X7Q2xKWvUw2SxQSHjMmpyqUR8v0ob28SARsiOCh0M14yiPXPl/4gDi9UmHpeOwwIB4OoRiQCAJQeqYLRYcaxKC4uNRZRGgYQwlcPwUXtgIzyWsEC2Y1CwvbAeNpZrZ6LDfgOAEanc9ntLnTvMQoUvGwv8faBKzKLECZmr4PYzV0LnU+jsCc/dpDd7XAh5Px8ADvUUXHk58y7MF5s1IF4c1iWU43cdjutakloYJi0Mjx6Y6DtzxbIsKvkTJSkRQegTx312hONCeA+Hp4Zjen8ue7CjqMHtGG7UmcTHHZjknO2WShi8cNkAAMAfe8udAmhHq49Wo7rFiJgQJe6enCVezzAM7ufnuqw6Ui3+JpU16mGy2qCUSbgOuI9jVii97RiIJ4SpcfnQJADc94KjgtpWfLCGG5Hz/KUD8NY1Q6DmP+OO8yxdi4F4Yl9vLFQcIjw3Ox0KqQR5BfV4f9VxtzllZY16PPTjXpisNlzYLxar512A27LTAQAfrz3hM4PteowKesWG4I97xiFCwaK0sQ2/OBSfEDgGZsI6bo7DRM1Wm5iJmsEHT68sPYLn/zwMALgtO108ZqfxJ1T2lzZ1KrMizFOb3CdGfEyhbWq5FG1mq1/fT3qTRdwHI9MixNd1skbrNG8q1yEwyT1YKb4XQuZKOGkzNoMbHbGzqMFjcCdUN7x1fJo4JPqv/RUwWWxixc8pfbn35mL+hMXKI1XcPOoWA5bsr/D4GWFZFn8f5IKwhy/Mwpe3jsR71w3F0JRwMAy33+9btMdjmfn3Vx3Hl5sKUd7UhuWHq3DVp1s9vncGs9XvojlnM1n7m3SeyWTC7t278fTTT4vXSSQSTJ8+HXl5eR7vk5eXh3nz5jldN2vWLDFwKiwsRFVVFaZPny7eHhYWhrFjxyIvLw9z5sxBXl4ewsPDMWrUKHGb6dOnQyKRYPv27bjyyivdntdoNMJotB9MLS3cB8FsNsNs7v6AwpvmNjOe+/MwqqokyG3eC4ABC66cMsuy4mUbfxkOlx23aTVacKqWO3ulUUoxpU8MLhoYh7gQJbYWNGDD8VrsL2tGiEqG3rHByIzWQGe0oqBOh8J6ndP8nX5xwcgZHI9Lh8QjOVyNono9thU2YGdRI/KrtKhqMUIuZTAgIRSXDI7HxF5R0BmtWH20BnkFDWhuM0MmZRCkkEKj4DIp4Wquc1ijNWLJgSqngOrrzYV4dHovNOpN+GxDoXjW/ZstRbhzQhoen9Fb/ME4WdOK3/aUo6rZiPAgbj5NkEIKndGKZoMZTXozGvUm6E1WmK0sTBYbTFYb9CYrWgxmGMzc3IRIjQIRQdxk3LhQFfrHB6NXbDAW76vA0gOVeMfMHSsyjQyPTsvC8kNV4sKVlwyOR3KYAmq5BG1mG0rrWhGjkUJv4SvehXJt0pusqGjQoZzvPMeGKGA2m5HEd2KK61thNptR0qDH078fBACkRqhw9Qjux7jNyHXA5FKJ0zHK//5CZ7DAbDajqdU+7NBi4d67UJUcTW1m1GvbEKnm7lDdzHX4ozQyt2M+MYzreJbW68TbqviOTJRGIV4XFywHw3CLxlY16RAdrATLsnj014P4+2AVHpqahQemZooFLKb0icaKw9UobdSLj/HJulNYk18DpUyCFy7tJ7ZZEBfCZV/KHO4jaOHLy6tk9vdEeH21LQaYTCYxIBJeZ0o499oKa1u9ftaFACcxlHutMcFcGyqbuDZUNPL7MJi7PT1Sjf2lTVi4tQgAMCYjAjP7RWNEajj2lDThtm+245e7x4pDNMv4x08Itb+XyXy7ijy0q4YPLCPU9n2VGKbCyVodiuq0SAlXopZ/nY7bCJnWRp3R42s1W21i1iQ6SOq0zYjUcBTV67E+vxrZGeEe3ycAOFrRBADIjAqCzWqBzQokhatQ3tSGolot8vkO/awBscg9VI2SBj10bUZU8EsTxIbIYTabkRrBfQ4KfOwXV5XNBthYrjMdqnT+XIxODUW4gkVTmxkrDtoXmh2QEAKLxYIojRzlTW2oadLDnBAMndEiDq0dlMh1hhyPub3F3Fnjkanhbu0bkiis6dSKBq0eISo5arT2SnYAsOZoFSL4IZvR/LEYpuS+x+pajTCZTE4dOsEpPjhNi1TDbDZDLeU+261GC0rqtOJ6UgCXARaGrQ1MCBbb2TeO6/QeLm8Wr9MaLNhV3IgmvVk8i33F0Hjx9lj+mK9oanN6vcf5LPSVwxKw8kgNKpsNWH2kUhz2NTBeI24fH8K93rIG+/dIc5tZfJ+jgqToHRuMQ+UtOFzehHHpYWLHekhiCKKDpIhTs6huA9YcrsSlfOVOANhbYq+mppbCwz4JwZCkUBwob8HS/WW4mZ+35GhdPtdpv2xwPBjWCrNDwNErWo2UCDVKG9uQd7IGU/rEIL+SC2wyooJgtVqQEm6vFOr6/EK1t3EZzsfLLWOT8b89Zcg9WIl/zeotZozfXp4Pq43FlD7RuGVsstvjDU4MRVljG/YWN2BMmj1Td6CsGTL+91e8jg9Q+8cHO+wLOR6ZnoW3V5zAR2tP4tfdZXjh0n6Y1i8WNhuLeT/vg9ZgwbCUMHwyZwjkUgnuuyAdP+4oweGKFhwqaxSDBEcsy4qd5pRwpVu7YzQyTEuy4bdCKf63pxS3jE0Wb2vUm8QTfkmhCvSJ5U5mHa2wH6fbChqgNVoQqZHj4+uH4Jk/D+N/e7iTAZnRGlzpcMxGqKUYkhyKA2UtWHm4EtePSkZHbOCH0E3IjHB7HQMTQ7CruAl7ixuQHul+QtLRzoJ6WGwsEsJUiAuWg2VZaJRcv+R4ZRP6xIXAaLFhF/+dEh+qRFWLEb/tKsHt2Wlitn9wAvdZ6hWtgkYphdZgwaGyBqd9zZWO54Kb7MwI9I3TYP2xWvy5txwjUkKhN1kRHaxA72ju+2N4cghighWobTXh4R/3YMupejS3WRAbosRf948XhyoD3LzOgjo9JAyLyb0iYLFYcNngOFw2OA4tbWa8/Hc+/txfief/PITcB7PFE2h1rUZxxMYDUzKx9GAViur1uGbBVjw0NQs2lqsQuqOoUfxejtTIEReiQmyoEmq5FNP7xeCKYYkd2n/dwd/fom4Nrurq6mC1WhEXF+d0fVxcHPLzPa+xUFVV5XH7qqoq8XbhOl/bxMbGOt0uk8kQGRkpbuPqjTfewEsvveR2/cqVKxEUFOThHmdGiwlYdlgGQALUd25FcFc6oxV/H6wSz0A4am6zYFdxE3a5DGeRMCxkDGCyMcivbkV+9Um8t/ok1FIWbVb3DgAAbD5Zj82dLPEZq2IxJIrFvjoGNVojnv7jsHhbsoZFnJrF7joJvt5SjLUHijA53oajTQx21jJg4bk9/mrUm8UPuCdBsJ8pWrFiBawqFa5OYfDdCQlC5MAQpgTLlpUgVCZFm5nB7ys2IE7NApBBAhZb16+GRiKFHgz+XLUee+okACTQVpchN7cETdUMACn2HCtGrqQQ22u4vwHgzy0Hoa7aDwCo1AOADKzF7DQv8WQVt31RWTlyc0tR0sptJ7XZt5PZpAAYrFi7ESf47+UDx7l21JaeQm6u8xoc2lruth0HjyGl9SgAYFchd11zdSlyc+0TvcPlUjSaGPy0dA0yQ4FCLfD3Ie6rZv76k1DXH0OjXgYGLCwl+wHI0KAz448luZBLgO/2cG27Ks2MxvztcF2OpaSZe30nyuvc5mPuK+Nua6iuQG4uVzyizsC9/uqWNvxvyTIYzFxb9m5Zj8NSoEzH3X68ssnt8QQF1VybyvP3Ibd0H2r5fXLgJPfaN5Rzf5u19cjNzYW1kfu7ie8oRJuqsWzZMsyOAQqqpCio0+PeL9fg5l7cSYsTFdzjl+TvQ27FPgBAYy33GHtPOL+/ALC9lHvvW+urxDYrLdx1yzbuhPY4iz38/mmotN+/roK77sDRE8htO+b2OhuMAMvKIGVY5G1YA4fRpgjTce35fWcRBlpPQe5l3MMa/r1QW1rs76eOe9612/fhVAsDQIIQfQWUEgmMNuCHP5fjQBG3TU3xCeTmHofBCjCQorbVhO//yEWk0vPzOSrSAoAMITIbVixf5nb76BgJVpUz+GzFPoQpAEACVVstt8/03POv27YbxkJWPG4UEhY1x/cCkKGwpll8TeuOcNujocRt/wBApFKKBiOD//yxGr3DWBzmjwmVlIXByuBgeTM0MgBgUHniIHJrDoBbSYCrJPb7kmVQe/iFPljMHSu1BYeR28ANHQqRSNEKBn+u3oT+4fbvp2NNDFhWiigli+0bVovXNxm55zlZo8XiJbnQmoGPDkvR5FDRdHCEDQV7NkEYBFfFf9+U1GmdPid5/PeGrbEMfUIY7K2X4Nnf9gBgEKtisXndKnHbsibuPTheZv/slvOfP42MxdpVK8A2cNts2HcCbPUxWG0yhMlZ7Nm8FgwDDIqQoLqNwXdr90NStld87FX8cReJVq+f4wwZgwOQYtHGI4isP+R0G8sCqw9y762ioQC5ue5zi5LlEpRCgh9W74b+pE081oP4Y104ZorrWrH071zx89NmAYobuJ1Zc3QnXL5ekREiRaEWeGXROlycYkORFlh+mPuOHKuu8vh65FruudfssX8nb6th8OMp7rfinv5W8VjYyB+rtvpi5OYWiY+RBOCGLAa5pRJUNhtw7w97cWmqDVYW2FEqhULC4rLoeqxasVy8T68QCQ43SvD5ks2YkeSeNWk1Ay0G7rUe3bkJp9wL6mJoJPBbIXC4Qotf/8yFhovbUch/fsMVLNatXiEep6dqW7F4SS4UUmAx/z2RFWTEiuXLkC0H2lIYNJsYzEhqxtpVK5yeK4Xh9vmPGw8hpOaAe2MAWGyA0QqxHQD3u1FYz/1ma0/thutHXGPi2rF06wEoK/d5fFzBMv77OlGuF/dljFwKnZHBLys2Y0Q0i1MtgMEsQ7CMxYxYPb5rkeLHvFMwV50AIEW0isX2jWvEx0xVS3DUKME3f2/B1ET7fqhuAyqbZZAxLOrzd8AGQM5IUVivxyv/2wlAggy1Acsdvh/HRzL4q1WK3EP2Iew1WiMe+2Ytrsu0n1gX+iJpwUDexnVur3O8AlgllaKgToc3vl+OEdEs//oZmK1SpAez6G08jn9kAAsMUpTpzHhxqedYoEFnRoPOjKP8iVhzYyXkFb7f5zNBr/evYm63Blc9ydNPP+2UMWtpaUFKSgpmzpyJ0NBQH/fsXm0mK/TRJTh+LB/9+/eDTCoFGAYSBmDAgGHAf4FzlxkAEsZ+meEvK2XcWOuUCDWOVmmx/HA1Vh6pgcFsxZDkMEzpE4PsrEjojFZxEcdglQzpkUHIitUgOVwNmVSC+lYj1h2vw5IDldhW0IA2KwO5lMHwlHCMzYjAsJRwJIapYLTYsOF4HZYfrsbRKi3kUgbjMiJxYb8YJEeoYbFylX5aTVY0681oajNDb7JAo5BhQq8oTMyKgkTCwGi24svNRVh6sApBCiluGJ2Cq4YnQiphsOxQFf69+AgKtRYUau3f4Bf2jcHYjAguM9NqQpvZiiCFDGFqIUumQLBSCoVUAoVMArlUgiCFFKFqGZQyKVrauOCqQWdCo96E0sY2HKnU4nh1KxLDVXh4bF/gfe65Zs2aBWg0yAHwuI11KgTxe90eVJ+oQ1KfwegbGwTs2YWoYCUuvWQKfqzaidqiRmQOGI7DB6qA6lpMHDkQOaNTEHqyHj8X7IZRHoKcnAk4uOI4cKoIAMCERCMnh8vIHq5oAfZvg0atQk7OBeLzGvaW49fCwwiPikFOzkhsK2gADu5CdFgwcnImAAC+LN6GuooWDBw+GlP5SmmLqnYC9Y2YPHoYchzOCANA3bYSrC7PR1BUAnJyhgIAlv20H6iqxrhhA5Azzn4W+KfqXcgraEBS32HIGZ6ID9ecBPgumpVlsF4bA6ARWTHBmDN7At4+vBZagwWDxk4GWKBx21YEKaT4903TxAWRHQ2o1+HTI1vQYpHi4otnOp3dP7jiOFBahH69MpBzMTeJXW+y4JW9a2G2Mcgclg3s3IFwtRyzL5sJgCtG8c6BtdBZGEycOkOclyRo0puhz+N+SK7NuRBhGhVCTtThx1N7YFOGIicnG/uWHQNKijGsbwZyLuqLpLJmLP18u/gY9115gTiksP/IJlz7xQ7srpPg7VsuQGKYCo/vWA2AxdUXTRWHecWXNOH7kzugY4KQkzPZqU3b/joClJVheP9eyJnGDVfag3wczitBaGImci7qi5U/HwCqqjB2WH/kjE8DABRvKMCaipOITkhBTs5At/d2b0kTsGcH4sPUuPQS5+ecZrEh9/1NqG4xolTTFw9MzXK7PwCs//0QUFKBSUN7I4ffpnB9AXasOQlFdAoam+sBGHH1tPE49PdRHK7QInXAKLBVpwBoMWPCKHEoyy9VO7C7pAlIHIQcD5kGV8sPVwOH9iM9Lhw5OWOdbjObzaj5axVWlUuQ32yPDK+dOhJT+8Zgs+kwDu8uR0JGX+RMyeQqfe7dgdiwIFx/6Ti8fWAddBYGU6bPhFouxYv71wMwY87MbLd5gQDwd/M+rDxSA01Kf+RMTEfh+gIg/yRmDUrE7pImlDW2oZVPyt502YXisMQX96+BzmjFyAkXiENDxddgteHxHWsAsLg+Z4o4jPT3+j2oPF6HlD6DkeNwdr54QwFw9CTG9U5ATs4Q8XqWZfHpyY2objEiqt8Y/LGlCE2mBoSr5QhVyzAoMRQvXTZAnJ8JcJ+TN/avRZuVweRpM8Wht1+VbAPQglnZI2G0WLH314OobuM+k7OGpSEnp5/4GH1rdfjs6BZorTLxs7v+eC1wYC9So0ORkzMeYafqsfjb3WhhgqFKSgIOn8C43nG45JJhMJvNKPx9FdZUSHBCp8D0mVOg4OfK5f64D0ANZozqh5yJ6R6Pj0ENevz5/mac0kowfsqFYuYQ4OY2Nm7bDLmUwb3XzkCQwr17ZDtQibxfD6KKDUNOzni3Y91iteGN/WtgsQEjJ14oDk3dXtgA7NyFxDAVrr1isvvjJlfi0V8PYneTCu/eORm3LdwNoBFXjUjCP64c5PG1hJ6sx18Ld6OBDUZOzkQAwIcfbgbAdf526aPw2I1juKHs+9YDMOP6mdlOxT4AIAfAM2YrXlt2DD/uLMOSEvt37jOXDMCN/LB3QVN0KV5YchSViEJOzhi3du0paQJ27UBCmAqzL3N/rWazGatWrUJmdBAK6vSI6DMK0/tzJ8P/2FsBHDqEfkmRyMkZzU0DyV+PRr0ZWSMmYHBSGD76aAsAHW6eOkwsgHK5x3eIk1Wlxd/z83BSK8OU6VPc9uu6Y7X41++H0Kg347qRSXj58gGQShh8m1cM7D2G0RmRuOby0e6vY38lNvx2EFp5hNt3jav/frkDQBMuHz8QOfz7udV8BEW7yhCU0As5M3rjk3WngMOnMKlvPJ64ahB+f2s96o1W7G6LAtCEiX0TkZMzWHzM6vBiHF12DBVMNHJy7O1bmFcM7DuGMRlRmH0Z11fYoN+P3EPVONHCfVZunTYcFw20JyhmWG2Q/nkEa/NrcPmQBEzqHY27v9+LfU1yfDZ9ijgcdf3vhwBUICuUxYwZMyCXO/9WAkBFyCl8tPYUdusi8MwtY2Gysnj5/zYCMOHhi4eIfYvLLrZgYV4JNp+sh0ouwYjUCIzPjETvWA3MVhbVLUbUaA2o0RphtNgwICFUHG4dSMKotvZ0a3AVHR0NqVSK6mrnSi3V1dWIj4/3eJ/4+Hif2wv/V1dXIyEhwWmbYcOGidu4FsywWCxoaGjw+rxKpRJKpfupUblc7vEAOlPkcjnumJiB3JajyMnO6JK2jM5UYXRmDJ67zPPtQ1Ijvd43PkKOG8YG44ax6ahrNaK+1YSUSLXHH6JhaVF4eEZfGMxWyKUSp8DDX3K5HI/O7IdHZ/Zzu+3y4SkYnhaFT9efxIGyZvSODcat2eniuORuo7PPgZHL5QC/T1z3TEpUEHACqNKanCasy+Vyfg2eRtTrLajmxzYnR2ogl8uREcMNtShvaoNMJkOBQ4nwqhaj/RiQcF94cpnE6bgIVnHPZbCwkMvl4Gs8IFhlP5bD+U6FzmwTrxMm78eHa9yOs8RwLjCobTWJtwnV6OLDgpy2T4/WIK+gAWXNXFv3l3NfRn3jQnCsWovtfPWlEWkRkMvlSI4IwtHKFlS3mtEsDtUKRUiQ56EWiRHcsKc2sw0mVoJgh2PPwI/VDlErxDaFyeUIUcmgNVhwsELLt1llfy/kcsSGKFGjNaK02YRhoc6Z6ooWbn+HylmEabj7JUdxbajWcq+xTse1OyGcey+Gp0UhJoRbx2ZoSjiy4uwdmtGZMRifGYW8gnqsOFqL2cOSYLZygXlSZLA4xDUzljupU9ligI2RQCmzd3qa+HWqYsPU4uvI5I+b0kYD3yZu/8Q57J8IDXdstBqtHr9L6vQW/v1Ru90ulwP/zumPh3/ah/nrCzBjYIJb4QAAOMjv70FJ4eJj9IoLEW8T5qf1SwpHZkwIDldoUdJksH8OooLF+80aFI/dJU14aWk+/txfhXevG+o2B8+p/cJ+8NB+AIhVA6PSwsXMvEYhxeS+cZDLpYjl53o1tVkgl8vR2MZ9cGJClIgKDUKIUgat0YJanQVKGYtGvRlyKYNBKRGQy9xPAgxNicDKIzU4UtUKuVwunoEdnBwOmVSKskYusxqqkiE+3F6yOjpYCZ1Rj2aDze01HKlqgtnKIkwtR2pUiFjIRiiQUK01Od3nQDn3nMP5z5qjqX1j8dPOUty7aB+MFm7e0OL7J4gFXlyFy+UIVcnQYrCgTmdBRLAaLMuiiJ8/2Cs+FAlhKij/OAwj/zm8YliS0/Om8kVKdCYr2qwMwtRy1LTyw1rDuX02MIn7/i5q0GMb/10xMj1SfJy0YG4ocr3OhL1lWkzkS3wf5ocPDk11f62CrLgw8XtoW1EzLh9qH2a0ragJADevJUyj9nj/iX3iABzEsWotdGZWrGTZLyGM7ytwC6oX1etR3mxCajR33B+r4YdIJoV5bNulw5LxxvLjqNEaccPXO3GgrBlKmQSPzezn9bUM5X+nixv0MFi5TIPjb8Wu4iZUtpghkXBr3smlDAYmez5W5XI5Xr9qCAYlh+PNZfkwWWy4f2ov3Jqd4TY0dfrABLyw5Cj2ljZBb4E4tFlQ0sgNfc2Mcf8dcTQqLQIFdXocqNDi4iHcUPdSfu5dRkyIeN+BiWHYfLIOx2v0iAkNwqlaHbfeYP94v/pDA5MjkBoZhJIGPX7eXeE0l+6v/RV47Jd9MFu5DMsvu8vRJz4U/5iUifXHuaF1MwZ4fp6R6dy8p8MVWlhYiRiAuCqu12F3SRMYBpg5KEF8rAGJYQDKcKJWB7lcjp38d1J2r2iEalS4eHACfttdJn5XXejSjosHJ+L1Zcewq7gRzUabeHJmawH3mbmgb6y4/TWjUsSsVGKYChcNTnRaG1MuB96/frj4t83GIjkiH2WNbdha2IiL+GqqO/jPY+9Q1mvfeG52Bj7fWIhDFS3YX9GKojod6nUmxIeqcOmwZPF5w+RyPDS9Lx6a7vYQAIC4cM/fQ4Hmbx+8WwtaKBQKjBw5EmvW2FOZNpsNa9aswfjx4z3eZ/z48U7bA8CqVavE7TMyMhAfH++0TUtLC7Zv3y5uM378eDQ1NWH37t3iNmvXroXNZsPYsb7PMBD/RQcr0Tc+xGNg5Ugll3YqsPJHSmQQ3rhqCP5+aBI+mDO8+wOrDkgKt5fHFgKXGH7OQRwfbFW3GBwm8nM/6InhajAMV+WvttWIEzX2ybyOk0yFibCOX5IAoOLHaxn5+QJieXKHCnriekcOi8l6WjxWEOvQ3va2T+UX/S2p13GLH/LVvp65pL/TcTAshdtX9nWQ2uzlmxO9Z4s1Spk4d8h10q3OQ7VArk3cvhCqK7kW7RCeb0eh+zDWYn7uSJTDXYT7N+nNMJit4vsidNClEgZf3joKt2Wn45MbhsPVJfzZu+WHqsSqkPGhKjGwAiDOF2RZ9zLbQsEDx0qArgsPCwU8hHW8AIdqgUbPw15di0q4unxoIi4eFA+LjcUHDmsaCRp0JrEM+6h0+0kaIQMj3JYcoUaoSi4WE8mv1IpFOhyf++ZxaWJlrH2lTbjz251eF3MFHAqLeGk/AMyb3lscrnXtqBQxOxqlcS5oUSu+f9z1SQ7HqVBEoE9ciFPQ60gIPA/yBSUOiUFnGMZnRYnb9U8IderACnMc6hyKWhwoa8J3eUViCfdRaRFOFULtyxPYP58sa194dLiHM75CYCEEQg9N6+01sHJ9HmHuWIPOJM6BTY0MQohKjucvG8CNMhiTipFpzt/HQQoZIvhsmFCQRlyXjJ+vFBOiRHSwAixrL3Xv+L0uYYAL+3GZzVVHuKHtjTqTWGzEU8Dv6AI+Uy+UpBZsOelecMJVTIgSvWKDwbLc3B/heO4dZw/4U8WKqQ7LDfDrIQ1K9Nw2uVSCey7gOv1CIZD7p/ZyK5TiKFKjEIuMHKlowSq+yMOk3tHI5o+vFYerxOPO17EKcKNcbhqbhn3Pz8Shl2bhoWm9Pc75SwpXIytGAxsL5J1yL1wgVPd0rRToahBfdMSxIIenQhhCtcqjlS1Ym8/ts1FpEW5Bna/Xdd8U7r19c1k+rvlsKy7+cBNGvrIKD/24F2Yri8uGJuLlK7hM/jsrjmHj8VpxbSihaIar9KggJIWrYbLasM3D78bJmla8vOQIbv6aG8EwsVe0WNgHAPo6lGM3Wqzi4snCd8PVI+wZ6GClTMzuCVIigzAkOQw2FviNXz/RaLGK7RYWTge4EymPTu+DyX1i8MlNI9z6DK4kEgYX8VUEhWq3pQ167oSvhEFGiPdiJlHBSlw5nAuWv9hYgC82cqNWbpuQ3u7znku6/ZXOmzcPX375JRYuXIijR4/i3nvvhU6nw+233w4AuPXWW50KXjz88MNYvnw53n33XeTn5+PFF1/Erl278MADDwDgPiiPPPIIXn31Vfz11184ePAgbr31ViQmJmL27NkAgP79++Oiiy7CXXfdhR07dmDLli144IEHMGfOHCQmBn5CHDk/OC6eKnSGhepuQuevpEHvkAHirlPIJEjgbz9R3epUoazVaBGrPQrrXMldqgW6rnOl5yZyOAXBrmtdGcxWcSFjj8EVX82sRmsUq0R5C66ENXSKG/Q4UdMKrdGCIIUU2VlR4vosSplE/NFyfJ+E6mWua1u5cl27StDqYRFhgKtCBkBcy8O10zLFoaKSa3lgoZJhtMr+gxKqkonV+aqaDWI7HMuXD0sJx4uXDxTXIXIkrB20v6xJ/DHMinXOyDAMIwaFJS4VA4WiE0JAADhUF6znKjV6alOIyj2oduS6qK0rhmHwOL9m0Jr8arflAlYe5jq7feKCnQK/jGgNHPtpQgU5YWHarfx7oJJLnDpNQQoZfr57HNY+dgFiQ5Qoqtdj4dYimK02PPjjXgx4fjneW2mfO9Ze+wFuoe5f78nGxzcMxzOX9Bevj+bfJ2HhYOF/MbhyqJh5oNx9PSVXwm1F9XqxYwJwgfysgXFi0Hv1SOdJ9lEu5diL6nS45rM8PPfnYXy0lpusMzbTeXSBsLC241IJFc0G1LUaIZMwYuloR9m9onEVXxznksEJ+OfkTK+vxf48fKVO/nmErFVCmEoMUm8am4bDL83CG1cN9tg5FwM0/jGEJRUcO5794u2ff41C6lTpEACmicFVtVMQmRmtEddy80b4rG88Xid+l1ptrHgMCovdejOOf+9/210KnckKmcS+6DfAdboB+0kZwF6WfqCPk0a3ZafjHxMzEBuixNzxaWJA4ItQefawQ3A1Y0AcLuIrwC0/XGVfWNlLYOdKKmHa7QQLHfeNHqrCCYFke9/hg/n2HChrFn9ThOp4jkG+cOLriENwdWE/50CjPdeNSsFVI5JgY7n1po5WtqBeZ4JMwuCfF2Tig+uH4ZZxaZjUOxpGiw23/mcHbCwXEKVFeQ4SGYYRA/W/9jlXod5WUI8rPtmM/2wpRGlDG4KVMrFapaBvnFAkpw1bTtbBaOGyT0JmflxmJP45ORN940Lw1tVDPJ7EvnkcN9z7my2FMJit3FQNsxXRwUoxKBXa+vD03vjvHWP8PgE9iz+G1hythtlqE3+nhiSHQek9RgcA3DExAwD3+TxR04oQpUxc+Pp80e1zrq6//nrU1tbi+eefR1VVFYYNG4bly5eLBSlKSkogcVgANTs7G4sWLcKzzz6Lf//73+jduzcWL16MQYPs446ffPJJ6HQ63H333WhqasLEiROxfPlyqFT2H9QffvgBDzzwAKZNmwaJRIKrr74aH330UXe/XHI+kEiACy6wX/Yi2aGkeo1YtpzrUAkZjj18VidIIRXP6ALcmjIVzQasP1YDluU6GDqTFSzLZaJCVHKY+Y6BW+ZKIZRi54IvoTyzRuGYuXJeTFbIcihkErFctyMhc2Wy2NDcZoZcKoHOZB825UgICIrr9eLaLUOTwyGTSvDmVUPQOzYY47Oixfs5LoB71M/gKjqY62jXtToHV3qTeyl2AEjh16cSFvrt5RLIzBoUj9dz83GovAUjXlmF168cjGv4Tm8hP9Qm1iG4Yhhu7a+CWh0qmw1imd9YD4GpJ/FhKvRPCMXRyhbxzJ7jj6EgLSoI+VVat7Wu6sVS7PYAJilcDQnDBdVljW1isBztUCpf6HhqvZRiFxb/FI5dT7JigjEuMxLbChrw574KsUT1zqIGMZt1jUvAoFHKMDAxVDyLPiCB61gJZ7eFCo7pURq3DjnDMMiMCcYTs/riid8O4JN1J7GjsAFr+I7WR2tPYubAeAxKCnNYw8z3fhiZFuGWVRGCHeGYEv4XjlPHzNUBcQ22cK/PEalRIClcjfKmNvy0s4R/fUHiPsh9aBKKG/Timjyu7RBOyPxnSyFMDuWaQ1QyXDnc+f0V135zWJ5AyBj3SwjxOHcRAN69dihevHwgQpQyj4GQK3G9O/59FoLrFJe18Xw9VmK4GocrWsQsm5DBciyd3z8hBJv5TNL4rGi377gJWVFQySWoaDbgSGWLeNZ/RFr7HceR6REIUkhR12rEkcoWDEoKw+GKZjS3mRGilGFIO5mv8ZnR+H5bCVbzaycNSQ5zap94QoT/zBrMVrHam2uJeEcSCYNnLx2AZy8d4HUbVwMTQ7HqSDXW5FeL5bqn94+DhGHw/J+HsaekUTyBNsjDvMDOmtwnGt9uLcLG47VgWVbc3yzLOgSSvp+vd1ww5FIGzW1mlDW2ISlcLQ6zFEraA8DgpHAAwM4i+7IGHQ2uJBIG7147FLdlp3PzyZUyxIaokBShdjqZ89bVQ3DZx5tRrzNBIZXgXxe5T0dwdP2oFCzaXoIl+yswPjMKA5NCcaSiBc8uPgSjxYYRqeG4aWwasntFOZ08ALglMoTh6EIZ/nGZkeJ7yTAMns7pj6dz+rs+reiKYYl4b+VxVLUY8Mnak+L39yWD4/36PPsyIjUC0cEK1LWasK2gHlv4LOW4jEjA5B5UO+oTF4L7pmThU35x7BcvH9juSY9zzRkpaPHAAw+ImSdX69evd7vu2muvxbXXXuv18RiGwcsvv4yXX37Z6zaRkZFYtGhRh9tKSLvUasDDcetKyFhUaw3igpjCkKc4l8xLSkSQ05dhSkQQdhQ2iGfqBiaFYV9JE0xWG1oMfHAlrnPlElzJvGSuHAIO4YtO+OF1XLPK05eyUiZFeJAcTXozarRGKPjnVMulTkEbYD/r2KAziR2QEWnhAICwIDnmzezrtL2QEdhX0oS6VhMkjP2snjfeM1fuWToAbmcfXYOrhDA13r1uKN5clo/ypja89NdhzBgQhzC1HIV1XMcoxiXeiA/lgqtTta1ioBnrI2PiamrfGBytbBEDvv7x7h0vod2OCxybrTY08XPTHMvkKmQSJEWoUdrQJpb0VUidM0Eh/H5v8bKIsDDMqU877/9VI5KxraABv+8pw31TspB3qh5zv9kBs5VFelQQ5oxxP0s5qXeMGFxN4c/4ug4dct0vrs/51aZCHKvWYk1+DSQMN+RYb7Li112lGJQU5lfmyhv7emgm/n/nEyJJ4Y7BFXd23lMhC0eDk8JQ3tSGLzcV8tuHi7fFhqo8Hi9CNrKef34hyPhwzjBIGAaDksLcTmjYM0oG2GwsJBIG+/jy28Ncsj6OGIbpUKdHGIYmLNQsZJ2SfATj3h5DyFwJ6/w5ZpOvG5WC/+YVw2y14Q4PxSlUcikm9Y7BqiPVyD1YiS18Rto1YPZEKZMiOysaq49WY8PxWgxKChPf43FZUW7fp67GZUZCwnBrlQFwGuIJOHxm+Yz3sSpuodkojcLrcNvOGp8ZhQ9wQnz9Q5PDxPdxWEo49pU2iZ/pye1k5DpibEYU5FIGZY1tKK7Xi9/5ZY1tqNeZIJUwHsu0O1LKJOgbH4JD5S04WN4Mhj8xJJfaM/YAl91OiwoSTzD1iw9B73a+nzxhGAZDksN9nhBJDFfj74cmYemBCozJiMTgdj7fQ1PCkTM4HrkHq/Dk/5wrEV7YLxaf3jTC64kNgDtelx2qEoe/TurgPlLKpHjhsgG494c9+GSdvQTldaNTfNzLP1IJgxkD4vHjjhLkHqwSM7vZWZGoP9r+/Z+Y1RcX9IlBsErWbqB9Ljp/BkAScoZFaRRQy7k5M3tLuM6YMNfKtfMnZFZc/xbGr/ePD3GYJ8V1rIU5VwrXYYFC5srkMufKIQhyHRYonCV3nJ/jSljotLrFIGbiYkPdg7FgpUw887ianyPiayhCssvCohnRGq+TgwXegiu9OCzQ+f6uz58V4z7U47Khidj05FT0iQuG1mjBX/u4BV+Fs4GOmSvAfhb/IN/R1vALNPtrmssYek8dQ6GDctBhXkIjvziwhLEXJhGk8fPdNvKTsZMj1U77x/EYcl0E1Gixih1Cxzkknlw8KB5KmQSnanXYW9qE5/86DLOVxYwBcfjrwYkeO+x3TszA9P5xeGhab3GYV4hK7hQo9I713mmSShh8evMIPvsjw/vXD8P8G0cA4OYFcIud+54z5osQXDW3mWG22sQgS7heyLBuOVkHrcEidg59ye7FdbyFRTHHZUb52hyAPRtZpzOhSW8Sz+ZP7h2Dy4YmepzLEh+mAsMAJqtNzGruL+WOmaE+OpMdJZx9F97ncn5tsiQfc4NcOQ4tZFlWDLISHc7s944LwZrHLsDKRycjO8tzh3P2MG5I4/x1p7CvlCsYMM3PjIYwnGvDMW55E3/mWwmigpW4zKEQRs5g58qqwrDoEn54rrB47IDE0NPOJrgamRbhNPx2Nj/XBYA4NBAAescGex3e1hkapUz8vlpx2L6kixCkDk8J9xlUCIShswfLm8XfurQojVMmkGEYXOWQqe3u4WXxYSr8Y1KmzyDM0bvXDsM9F2RhYGIoooO5xZ0fmtYbn98yst33QDjJBAAMA1zYz/P8Ll8uHpwgLu4MAHPHp3VZMDOLryj4444S1GqNCFXJfJ6sccQwDMZmRp2XgRVApdgJ6TYMwyA5Qo0TNa3iekdCUCUMsxMkuwyrce1kDk0Jx6YTdahrNdmDKy/DAoU5VwYLn7nykM0RhwUanIcFRgV7H04VG6rEsWotqluMYtEMb8PghiWHi51CmYQRixJ44jqkyJ8ftZhgz8GVfQik81ebYyc4WCnz2hmUSBhcOTwZby3Px7pjtbh0SKK45lm0S39d6MDv54eIdSRrBXABn7Co8NS+MR7nZg3ng8JDFS0wWqxQyqSo09qLWbgWiukVG4zNJ+vEuU9pLo8pBD0WGwuD2SYGsQ06E/JO1cPGcvPJ2hveGKKSY+bAeCzZX4HrFuTBYmMRESTHu9cN9ZoJiQ5W4qu5o9yuH5ocJmY4fc1JAbghieufmCpmZwxmK1RyCapaDNh0sg5tZiukEsbt8+SPcLUcUgkDq41FfatJPLaEuVj9+GGbQuGNgYmh7c5Nmd4/Ds//aV+jb0Ivf4Ire+ZKmEuUEa1BhMb7iQ+5VIK4EBWqWgwob2pDRJBcDMg9FbPorASXrFM5Px+0Q5krcc6VAQ06k1hQIy7M93eiq4sGxYuV/wBgQla0359BYd7V7pJGVDS1YSdfBW2CH8EVALzED3MakRbu1nkUsi5aowWNerM4B6k7OpkyqQQPT+uNF/46jMwYDa4dZc9YzBmdgl93laK0oa3d4W2dMXtYErYVNOC7bcWYm50OlVyKvw9UAoBYwbE9XPGRUhwqbxZPYvTyUA30Xn7+mVohwc1j07rmBXQRtUKKpy7uh6cu7vh7PHMANxy9uc2MiwbGe5zv7I8XLhuAy4clotVg8esEgb+ys6IRppaLJ2EvH5YIpYxyMv6gd4mQjtLpgJgY7p9DWXZPXDvM8XxQFaSQOZ1dd82kuA41GZIcjhCh0hs/pMvrsEA+8DFbWZitNo/VAu2ZK+42cQ6Pjw6cvaiFATUtRqfrXDlOuB+ZFiEOR/MkVC1zmuflq0iAQPgRcp1z5a2ghVTC4N85/RCikuH5ywb4PIMsnE3ceqoO+Xz57PhQpdskXqGjad+mY8EVwzD49o4x+OKWkVhwy0iP26RHBSEiSA6TxYajfKnpGi2XNYjx8N4LwYkwTNH1bHWQwl65UwisD5Q1Ydzra3D/oj0AuGPPnzPsQjEECx/kPzqjT6fG1d8wJhUMw3VK/e2UCZXyVHIpxvPZoP9s5obepUSoxbWPOkIiYRwq9Rkdqi1yx1pmtMbp83FBn/azJInhatzAD5G8cniSX9mDaI19ztVeft7UcD/OFgud+qI6HfKrtGgzWxGilCEz2ncWsiMSwu2ZK5ZlxWxzZzJX5U1tYgYsOljps5KdJ1IJg/k3DUefuGD0jg3Gi5e7r9vmTUpkEDJjNLDaWLz69xGYrDZkRms8ZrQ9CQ9S4JXZg9zmvgHcMSm8HyeqtTjkRzGL0zE3Ox2bnpyK3IcmOWXOw4MUWPHIZOx+bjqme6l4dzouH5aIuFAlyhrbMHv+Fjz68z5sPlkHCeNc6c6XIfx8qgNlzeLwRU9DgxUyCR6e3ht3T85yqpLZ00VoFPjtnvF45YqBeOfaoZ1+HIZhMCI1ApP7xHTp+6OQSfDalYO4IlthKtw3pVeXPfa5jjJXhHRGne8JnQLHwgAShnUqLjAgMVScyO+arYnUKDAqLQK7ihvROzYYWTEaMQAROsXehgU6DkUwmK2eM1cq5yGGYkfSx5kzYUhjTYtRfA5vZ9ouHZKIzzcWoKyhDQ9c6PsLmWEYjEiLwHp+iI4/8yaE561xyFyxLCvOL3MdFggAd0/Owj8mZrb749MvPgQJYSpUNhvwzRauw84Nc3QOpONdJihn+NkxcxTKZ4C8YRgGw1MjsDa/BntLGjEsJdxnyXzXOQLCECXHxwtRydCkN6OlzYy4UBW+3VIkFkyQShj8Y1L7VeMAYFKvaPSODcaJmlaMSovATZ08ozytfxzWPTYFMSFKv4YSuZraLxbrjtViw3Hu+Mn0sQ5We6KD+fXOGvTisSQMlWUYBhN6ReOv/VxlMMdhV768fuUg3Dcly2eREEf2aoEm7PVRSt1VVqwGO4oacKq2VTzTPCw1vEs7W8IJBL3JipY2S6cyV0LgUdViECuhJoV3bi5Sr9gQrHz0gvY39OCCPjEoqNUh9yCX5c0ZnNBlw/b6J4SgvKkNB8ubkV9pL8HfXTxlvQHuxFtIN5W/DlJwQ3PvWrgL+VVa8STTHRMyvLbHVZ94e1GLZYcq+es6Pp+qJ+sd17k5ZGfKpUMSMbFXNIKVMsikEpjNnoshEWcUXBHSjRzX64hVwWkY17Ujk7E2vwb9E0I9Zms+mDMMP+8sxZXDk5wmnrsOC5S5VCxUyiRgGIBluYqBvjJXLS5zrnxnroSAxiB2gl2HNwo0ShlyH5oEo8Xm13okd07MwNaT9RifFdVukQDAeeiUwGixiVkU18yVwJ+OJsMwuLBfLH7YXoKVfHnjYcnhgMl5XZzeLmdYM9tZ16WzhqeEY21+DfaUNOH2CfaA0tPQvd6xIeJCrwDcSlgDXEDXpDejxcCV9Rde44dzhmFIcni769MIZFJu0dkDZc0Ynhp+WmvZtbe+ki9T+sQCsA+98zf74Ikw30noKCplEqdswJMX9YXZasPYjMh251sJGIbxu7MJ2IO5Bp0J2wu4SeTD/SifLJRwPlnTKk7+H5XmfThuZ6j5qqaNejPyq1rEDGlHMlcxIUrIpQzMVha7+cIrrpXUzoQbx6Tih20lMFltUMulmOswb+V0DUjkhrr+sqsURosNISqZ2xDdc0F2VjTWPT4FK45Uo7yxDQMSQ3Gpyxw0X5QyqVjUQijSM9bHEHISGK5ze0n7KLgipBs5dopSNM4FBC4enIDN/5qKSI3CY6c/OSIIjzlU1hM6ea7DAuUuQ6AYhoFKJkWb2cplrnysc6U1Wrg5JjrnIVCeCPPFqluM4hpP3oYFAlwGzd9MxKTeMdj/wkyo5BK/zh4LQWC9ziSWAhZeJwAEdSID4mjGgDj8sL1E/HtEahh0J523SY0MQohSJlb7yzyNTr0vQiZvZ2GD0/pVnjJXUgmDG8am4vMNBciK0XgsZhDikAEtb2pDq9ECuZTBJYMT2q2U5kqjlLkNYT3TUqOCkBmtERcgHXkaAYUwl09YEiAmxLlgS3JEED672fMQzq4SqVEgUqMQ5yOp5VK/Ajnh7PfRyhaYrdx3zaj0rl9UPSFMjUa9Gbv48ufRwYoOZRylEgYZ0Rocr27FcmFuYNSZDzx6x4VgwS0jsGR/Ja4dldzp+S6eDEvhThAdr+aGumVnRZ1Tw9kcxYaqcMu4zs+DGpcRJVYRzYjWdKrSJyFnG5pzRUg3GpIchtH8uiqTE2xutydHBHlcHNATofiAUGLdYvO8iLDrtp6KPIQ6ZJO0BrPDIsc+MldicOU456rrOiRqhdTvYTlCO40Wm3j2XHidKrmkw0GCq/FZUQjn1x0LVsrc1iICuCyY43pc/i7S2VHDUyMglzKoajGgpEHvcXFgR4/P7Itvbx+NH+8e5zGb5JgBPVXLdf7SozSn/Z4FkjD/Kylc7VSBq6OEYbFC5srXyYbuwjCM0/ycMRmR7RbOALihgxKGW9i3vKkNCqnE78peHSHMNdxZxGWdXBfk9ocQCJY2cMMC/c0CdrUL+8Xh/euHea1I2FnZWdHiCSjAvugucccVw+CO75vOs4Vmybmr5/6aEtIDMAyDn+4ejx1PT0Xqac4rdw2uhLPTcg8LGav4bJZT5sphWKBcKhF//FvaLGLZaWGNHU9iHeY5VfNFFbwNC+xuQQqZ2H5haKDOywLCnaGUSfHJDSMwoVcU3r9+mNdhhndNzoRCKsGc0SkdrhboL7VCKmagthc0oKSBG/LlrVMrl0owpW+s16yikLnSGiw+J5H3JPdN6YUf/jEWf9yf3al5WwJhSJ7wHnflyYOOcBwm7G/1r1CV3Glez+Q+0V6P29MhDHEU5kh2psR3H5dqqO2tq9bTqORScSHtaJfS7cRZSmQQFt8/AZ/fMhJ3TswIdHMI6RI0LJCQbiaVMF1SvlQY6mbggyuTOCzQPTuhEgIxkxV6k+fy5KEqOfQmKxr1JjSIwwJ9Za6U4vMKz92ZktddJVKjgN7UhrpWE9KiNGLmyt9MYHsm9o4Wq9d5m8Q7Y0AcDr00q1PV6TpibGYkdhU3YlthvbigcGfneAlDQpv0JpTzi8BmnUYRiLOBRML4XUbbF9dMVUcKNXSl60en4IftJdAopLh6pH+V1wCuSpuwwPENHhZy7gquWab2Fov1xLFAh0zC9Pjg3pMXLxuI6f3jMDgpzK95p+ezfvGh6OdhEXVCeioKrgjpKIkEGDXKfvkMUTsETIDjsED3NtjXurJBJ1YLdD6jH6aWi0PN+DoQPtfSUcqk4lwQgKse2BVZos6KCubKAAuZq1ajUCnwzLapuwMrABibEYX5604h92AlDGYbGMZ7hbD22MvYm3DqHMlcdRXXwgwdKdTQldKiNNj5zHRIGPelFny5ZVwaVHIJIoIUmNa/68tvA+7BVd9OZJ3GZEQiOliBulYTpvePO61s49lKImEwuQ8NByTkfETBFSEdpVYDO3ee8acVOiBuwwI9dL6EbXVGi7i9a9ARqub+Fhb7DQ+Stzu3o198CLae4iqY+VtVrrsI6wEJwZ5enFt27nXURqZFQCZhYDBzAXVimLrTHVIhuKrVGsU5Vz09c9VVXMu4+1s+vTt0dq2u60d377wV12BqYFLHMw4quRTf3TkWuQcru7RKHyGEnA1ozhUhPYSQjRLmUInDAj0VtOC3FQIPwHPmCgAK6rgOtq8y7ALHOR2ns55QVxCKWggLIHtbQPhcoFHKMMlhgd2hKZ0vniEEV8erteJ7112VDnua6GCFOCcNAJLCz73y2adLo5ThYn6NrzEZkZ0uo94/IRSPzewbkKIhhBDSnc69Xggh5yghODK4VAt0XecKsGeuhCqAnuZ9CRUDhexFlB+dHMfqY9kBLsEdqRGGt3HDAn0tIHwuuGFMKtbxRQQuHdL5CfJCufET/JDAxDDVORmQdgbDMIgPVUFr4N6b3nGU0fPknWuHYtbA+NOqzEgIIecq+kUlpKP0emDAAO7ykSNA0Jk5u61yrRZo4YYFeho+JJS2FdavCvJQ5lzoZAtrjAglln2ZOSAON45NhVzC4KKB8Z15GV1GKL4hBJCtHkrOn0tmDIjDh3OGQcIwyOnAQp2uXNfzyaL5Vk5uzU7Hc4sP4aoRSefkXKCuEKyUYfbwpEA3gxBCzkrnZi+EkO7EskBxsf3yGSIM9RMKWph9rXPlkrnyFHC4BlP+TN6XSSV4/crBHWh19xGGBTa4DAsMVp2bX2sMw+CKYaffoXUtGT8gkap0Obp5bCqys6KQ0YkS44QQQgjNuSKkhxArAPJFDYSCFp6GBQqVBcXMlYehcgmuldECOHm/M6JchgW2GrjgKkRFZY99CVbKEOewPll3LX7cUzEMg6yYYEg8LMBMCCGEtIeCK0J6CCFgEtatMovrXLU/58pT5iox7OwoO91Z3gpahND8oXb1T7BnqxwXrCWEEELI6aHgipAeQu1Sil0oaKHwMCxQDK74wMO1UiAAJIQ7Dw/r7LpJgSJkrhp0JthsLLSGc3tYYFe6eWwaZBIG0/rFIj3AJfUJIYSQcwn1QgjpIdQK+7BAm42FydewQJdS7J4W+3UtvZ7ew+aYRPLtt9pYNLeZ0Wo0A/D8Womz6QPicOilWVB0YIFaQgghhLSPflkJ6SHUDpXLDBZrO8MCna8LC3Kfh8QwDG4dnwYAuGZkMqQ9bI6JQiZBKJ+lqteZzvmCFl1NJZfSvCJCCCGki1EvhJCOYhh7KXbmzHVOHctCG8w2n8MC1XLPCwa7eu7SAZgxIA4j0yK6sKVnTnSwEi0GC+pbjfaCFpS5IoQQQkiAUC+EkI4KCgIOHz7jTyuVMJBLGZitLAxmq+9hgS5zrMLVCrdtAEAulWBS7567EGikRoGCOh1lrgghhBByVqBhgYT0ICqxHLsVFqv3YYGhLpmqcA/DAs8FYsXAVqO9oAVlrgghhBASIBRcEdKDqBzWujILwZWHeTPRGqXT396GBfZ0UcHc66xqMcDIz0ELUZ6br5UQQgghZz8KrgjpKL0eGDiQ+6fXn9GnFgpVtJmt4iLCnjJXQkZH4Kmgxbkgmq8YeKK6FQA3dDKEhgUSQgghJECoF0JIR7EscOSI/fIZJBSqMJqt9syVh3LakS5l1s/VzJXwOk/UcMFVRJCcKuARQgghJGAoc0VIDyIOC7TYgyuZh2BCJZc6Vc2LCPJc0KKnE4YFFtbpuL9dhkMSQgghhJxJFFwR0oOoZFxw1WayicMCFR6GBQLOVeITwlTd3rZAcB3+6JqxI4QQQgg5kyi4IqQHUfJzrgxm35krALDY7EMWVS7rXp0rooOdM1WRwRRcEUIIISRwKLgipAdROwwLNPHV8bxlrp6+uB8A4O7JmWemcQEQ5ZKpcv2bEEIIIeRMooIWhPQgQgaqzWSFyeo7uLp5XBqGpoRjYGLYGWvfmRYepIBMwohZOppzRQghhJBAouCKkI5iGCAtzX75DBJKseuMVrFQoVLqecgfwzAYkhx+hloWGFIJg7SoIJyq5QpapEcHBbhFhBBCCDmfUXBFSEcFBQFFRQF5amFYYIvBLF7nLXN1vugTFyIGV1kxwQFuDSGEEELOZ+d3r4yQHkYYFtjcRsGV4LpRKQCAzGgNBiSEBrg1hBBCCDmfUeaKkB5EKWSu+OBKKmEgPc8XzZ3aLxYrH52MSI2CFhAmhBBCSEBRcEVIR7W1AZMnc5c3bgTU6jP21MKcKyFzpZCe31krQZ+4kEA3gRBCCCGEgitCOsxmA3btsl8+g9QuwwLP9yGBhBBCCCFnE+qZEdKDCHOutAYLAAquCCGEEELOJtQzI6QHEYYFttCwQEIIIYSQsw71zAjpQYRhgVojl7lSUuaKEEIIIeSsQT0zQnoQoVqggIYFEkIIIYScPahnRkgPopI5B1eUuSKEEEIIOXtQtUBCOiM6OiBPK8y5ElDmihBCCCHk7EHBFSEdpdEAtbUBeWq1goYFEkIIIYScrahnRkgP4joskKoFEkIIIYScPahnRkgPoqKCFoQQQgghZy3qmRHSUW1twJQp3L+2tjP61Gq34ErqZUtCCCGEEHKm0ZwrQjrKZgM2bLBfPoOUrgUtaFggIYQQQshZg3pmhPQgSpkEDGP/m4YFEkIIIYScPbqtZ9bQ0ICbbroJoaGhCA8Px5133onW1laf9zEYDLj//vsRFRWF4OBgXH311aiurnbapqSkBJdccgmCgoIQGxuLJ554AhaLRbx9/fr1YBjG7V9VVVW3vE5CziSGYZzWtqJ1rgghhBBCzh7d1jO76aabcPjwYaxatQpLly7Fxo0bcffdd/u8z6OPPoolS5bg119/xYYNG1BRUYGrrrpKvN1qteKSSy6ByWTC1q1bsXDhQnz77bd4/vnn3R7r2LFjqKysFP/FxsZ2+WskJBAc511plDTnihBCCCHkbNEtc66OHj2K5cuXY+fOnRg1ahQA4OOPP0ZOTg7+7//+D4mJiW73aW5uxtdff41FixbhwgsvBAB888036N+/P7Zt24Zx48Zh5cqVOHLkCFavXo24uDgMGzYMr7zyCv71r3/hxRdfhEKhEB8vNjYW4eHh3fHyCAmoYJUMjXozACBIQdMmCSGEEELOFt3SM8vLy0N4eLgYWAHA9OnTIZFIsH37dlx55ZVu99m9ezfMZjOmT58uXtevXz+kpqYiLy8P48aNQ15eHgYPHoy4uDhxm1mzZuHee+/F4cOHMXz4cPH6YcOGwWg0YtCgQXjxxRcxYcIEn202Go0wGo3i3y0tLQAAs9kMs9nc8TehCwnPH+h2EJ7ZDLl40Qz4sV+6ch8GOwRUahlDx8UZQJ/Bno/2Yc9H+7Dno33Ys53v+8/f190twVVVVZXbMDyZTIbIyEivc5+qqqqgUCjcsk1xcXHifaqqqpwCK+F24TYASEhIwIIFCzBq1CgYjUZ89dVXmDJlCrZv344RI0Z4bfMbb7yBl156ye36lStXIigoyPcLPkNWrVoV6CYQAFKDARcplQCAFStWwKpS+X3frtiHJp0UAFfV4mT+YeQ2HDrtxyT+oc9gz0f7sOejfdjz0T7s2c7X/afX6/3arkPB1VNPPYW33nrL5zZHjx7tyEN2ub59+6Jv377i39nZ2Th16hTef/99fPfdd17v9/TTT2PevHni3y0tLUhJScHMmTMRGhrarW1uj9lsxqpVqzBjxgzI5fL270C6HcvPBZzl5/ZduQ8XN+zBqWN1AIBxo4bj4kHxp/V4pH30Gez5aB/2fLQPez7ahz3b+b7/hFFt7elQcPXYY4/htttu87lNZmYm4uPjUVNT43S9xWJBQ0MD4uM9dwTj4+NhMpnQ1NTklL2qrq4W7xMfH48dO3Y43U+oJujtcQFgzJgx2Lx5s892K5VKKPlshCO5XH7WHEBnU1tI53TFPgwPsh+nYRoVHRNnEH0Gez7ahz0f7cOej/Zhz3a+7j9/X3OHgquYmBjExMS0u9348ePR1NSE3bt3Y+TIkQCAtWvXwmazYezYsR7vM3LkSMjlcqxZswZXX301AK7iX0lJCcaPHy8+7muvvYaamhpx2OGqVasQGhqKAQMGeG3Pvn37kJCQ0JGXSshZKybEHlzFBLufECCEEEIIIYHRLXOu+vfvj4suugh33XUXFixYALPZjAceeABz5swRKwWWl5dj2rRp+O9//4sxY8YgLCwMd955J+bNm4fIyEiEhobiwQcfxPjx4zFu3DgAwMyZMzFgwADccsstePvtt1FVVYVnn30W999/v5h1+uCDD5CRkYGBAwfCYDDgq6++wtq1a7Fy5crueKnkfGQwAPwJAPzvf0AH5lx1hUiNQ1XMUAquCCGEEELOFt1Wx/mHH37AAw88gGnTpkEikeDqq6/GRx99JN5uNptx7Ngxp8lh77//vrit0WjErFmz8Omnn4q3S6VSLF26FPfeey/Gjx8PjUaDuXPn4uWXXxa3MZlMeOyxx1BeXo6goCAMGTIEq1evxtSpU7vrpZLzjdUK5ObaL59hAxO5OYDRwQpEBCna2ZoQQgghhJwp3RZcRUZGYtGiRV5vT09PB8uyTtepVCrMnz8f8+fP93q/tLQ05AodWw+efPJJPPnkkx1vMCE9xMRe0fjjvmzEhqoglTCBbg4hhBBCCOHRCqSE9DAMw2B4akSgm0EIIYQQQlxIAt0AQgghhBBCCDkXUHBFCCGEEEIIIV2AgitCCCGEEEII6QI058oLodiGv6sxdyez2Qy9Xo+WlpbzctG2s45OZ7/c0uJXxUDahz0b7b+ej/Zhz0f7sOejfdizne/7T4gJXAvyuaLgygutVgsASElJCXBLyFmNX7eNEEIIIYSc+7RaLcLCwrzezrDthV/nKZvNhoqKCoSEhIBhAlvuuqWlBSkpKSgtLUVoaGhA20I6h/Zhz0b7r+ejfdjz0T7s+Wgf9mzn+/5jWRZarRaJiYmQSLzPrKLMlRcSiQTJycmBboaT0NDQ8/JgPpfQPuzZaP/1fLQPez7ahz0f7cOe7Xzef74yVgIqaEEIIYQQQgghXYCCK0IIIYQQQgjpAhRc9QBKpRIvvPAClEploJtCOon2Yc9G+6/no33Y89E+7PloH/ZstP/8QwUtCCGEEEIIIaQLUOaKEEIIIYQQQroABVeEEEIIIYQQ0gUouCKEEEIIIYSQLkDBFSGEEEIIIYR0AQquznLz589Heno6VCoVxo4dix07dgS6ScRPb7zxBkaPHo2QkBDExsZi9uzZOHbsWKCbRU7Dm2++CYZh8MgjjwS6KaQDysvLcfPNNyMqKgpqtRqDBw/Grl27At0s4ger1YrnnnsOGRkZUKvVyMrKwiuvvAKqxXX22rhxIy677DIkJiaCYRgsXrzY6XaWZfH8888jISEBarUa06dPx4kTJwLTWOKRr31oNpvxr3/9C4MHD4ZGo0FiYiJuvfVWVFRUBK7BZxkKrs5iP//8M+bNm4cXXngBe/bswdChQzFr1izU1NQEumnEDxs2bMD999+Pbdu2YdWqVTCbzZg5cyZ0Ol2gm0Y6YefOnfj8888xZMiQQDeFdEBjYyMmTJgAuVyOZcuW4ciRI3j33XcRERER6KYRP7z11lv47LPP8Mknn+Do0aN466238Pbbb+Pjjz8OdNOIFzqdDkOHDsX8+fM93v7222/jo48+woIFC7B9+3ZoNBrMmjULBoPhDLeUeONrH+r1euzZswfPPfcc9uzZg99//x3Hjh3D5ZdfHoCWnp2oFPtZbOzYsRg9ejQ++eQTAIDNZkNKSgoefPBBPPXUUwFuHemo2tpaxMbGYsOGDZg8eXKgm0M6oLW1FSNGjMCnn36KV199FcOGDcMHH3wQ6GYRPzz11FPYsmULNm3aFOimkE649NJLERcXh6+//lq87uqrr4Zarcb3338fwJYRfzAMgz/++AOzZ88GwGWtEhMT8dhjj+Hxxx8HADQ3NyMuLg7ffvst5syZE8DWEk9c96EnO3fuxJgxY1BcXIzU1NQz17izFGWuzlImkwm7d+/G9OnTxeskEgmmT5+OvLy8ALaMdFZzczMAIDIyMsAtIR11//3345JLLnH6PJKe4a+//sKoUaNw7bXXIjY2FsOHD8eXX34Z6GYRP2VnZ2PNmjU4fvw4AGD//v3YvHkzLr744gC3jHRGYWEhqqqqnL5Lw8LCMHbsWOrb9GDNzc1gGAbh4eGBbspZQRboBhDP6urqYLVaERcX53R9XFwc8vPzA9Qq0lk2mw2PPPIIJkyYgEGDBgW6OaQDfvrpJ+zZswc7d+4MdFNIJxQUFOCzzz7DvHnz8O9//xs7d+7EQw89BIVCgblz5wa6eaQdTz31FFpaWtCvXz9IpVJYrVa89tpruOmmmwLdNNIJVVVVAOCxbyPcRnoWg8GAf/3rX7jhhhsQGhoa6OacFSi4IuQMuP/++3Ho0CFs3rw50E0hHVBaWoqHH34Yq1atgkqlCnRzSCfYbDaMGjUKr7/+OgBg+PDhOHToEBYsWEDBVQ/wyy+/4IcffsCiRYswcOBA7Nu3D4888ggSExNp/xESYGazGddddx1YlsVnn30W6OacNWhY4FkqOjoaUqkU1dXVTtdXV1cjPj4+QK0infHAAw9g6dKlWLduHZKTkwPdHNIBu3fvRk1NDUaMGAGZTAaZTIYNGzbgo48+gkwmg9VqDXQTSTsSEhIwYMAAp+v69++PkpKSALWIdMQTTzyBp556CnPmzMHgwYNxyy234NFHH8Ubb7wR6KaRThD6L9S36fmEwKq4uBirVq2irJUDCq7OUgqFAiNHjsSaNWvE62w2G9asWYPx48cHsGXEXyzL4oEHHsAff/yBtWvXIiMjI9BNIh00bdo0HDx4EPv27RP/jRo1CjfddBP27dsHqVQa6CaSdkyYMMFtCYTjx48jLS0tQC0iHaHX6yGROHdVpFIpbDZbgFpETkdGRgbi4+Od+jYtLS3Yvn079W16ECGwOnHiBFavXo2oqKhAN+msQsMCz2Lz5s3D3LlzMWrUKIwZMwYffPABdDodbr/99kA3jfjh/vvvx6JFi/Dnn38iJCREHE8eFhYGtVod4NYRf4SEhLjNkdNoNIiKiqK5cz3Eo48+iuzsbLz++uu47rrrsGPHDnzxxRf44osvAt004ofLLrsMr732GlJTUzFw4EDs3bsX7733Hu64445AN4140draipMnT4p/FxYWYt++fYiMjERqaioeeeQRvPrqq+jduzcyMjLw3HPPITEx0Wc1OnJm+dqHCQkJuOaaa7Bnzx4sXboUVqtV7N9ERkZCoVAEqtlnD5ac1T7++GM2NTWVVSgU7JgxY9ht27YFuknETwA8/vvmm28C3TRyGi644AL24YcfDnQzSAcsWbKEHTRoEKtUKtl+/fqxX3zxRaCbRPzU0tLCPvzww2xqaiqrUqnYzMxM9plnnmGNRmOgm0a8WLduncffvrlz57Isy7I2m4197rnn2Li4OFapVLLTpk1jjx07FthGEye+9mFhYaHX/s26desC3fSzAq1zRQghhBBCCCFdgOZcEUIIIYQQQkgXoOCKEEIIIYQQQroABVeEEEIIIYQQ0gUouCKEEEIIIYSQLkDBFSGEEEIIIYR0AQquCCGEEEIIIaQLUHBFCCGEEEIIIV2AgitCCCGEEEII6QIUXBFCCCGEEEJIF6DgihBCCCGEEEK6AAVXhBBCCCGEENIFKLgihBBCCCGEkC7w/3dDh4Gw3PnEAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "Plot: Waveform windows alligned on pick time" + "none_index = 7\n", + "new_pick = 1.8\n", + "\n", + "picks = p_picks\n", + "picks[none_index] = waveforms[none_index].stats.starttime + new_pick\n", + "\n", + "plt.figure(figsize=(10, 2))\n", + "\n", + "plt.plot(waveforms[none_index].times(), waveforms[none_index].data)\n", + "plt.axvline(x=new_pick, color='r', linestyle='--', label='P Pick')\n", + "plt.legend()\n", + "plt.title(f\"Station: {usable_df.iloc[none_index].station} ({usable_df.iloc[none_index].network})\")\n", + "plt.grid()" ] }, { "cell_type": "markdown", - "id": "19ecdac6", + "id": "c536b460", + "metadata": {}, + "source": [ + "Here, check if any waveform is without any P-arrival picks" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "b044ca50", + "metadata": {}, + "outputs": [], + "source": [ + "from obspy import UTCDateTime\n", + "\n", + "for i, p in enumerate(picks):\n", + " if p is None:\n", + " raise ValueError(f\"No P pick found for station {usable_df.iloc[i].station}.\")\n", + "\n", + "# use a nearby reference time\n", + "reference_time = min(picks)\n", + "\n", + "pick_seconds_relative = np.array([pick_time - reference_time for pick_time in picks], dtype=float)\n", + "\n", + "# Pairwise differential pick times:\n", + "# dt_mat[i, j] = pick_i - pick_j\n", + "dt_mat = (\n", + " pick_seconds_relative[:, None]\n", + " - pick_seconds_relative[None, :]\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f542d12f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "HURR -6.0831 s\n", + "NLWA -4.8281 s\n", + "OOW2 -4.0431 s\n", + "BLN -3.3231 s\n", + "BILS -3.1231 s\n", + "QCMM +0.8269 s\n", + "QOCL +1.1269 s\n", + "QFRZ +1.3119 s\n", + "QTNB +1.5969 s\n", + "MAC +2.1269 s\n", + "UPL +2.2069 s\n", + "QSKT +2.2469 s\n", + "LWCK +9.9569 s\n" + ] + } + ], + "source": [ + "import itertools\n", + "\n", + "rows = []\n", + "data = []\n", + "pairs = []\n", + "\n", + "for i, j in itertools.combinations(range(len(waveforms)), 2):\n", + " if np.isnan(dt_mat[i, j]):\n", + " continue\n", + "\n", + " row = np.zeros(len(waveforms))\n", + " row[i] = 1.0\n", + " row[j] = -1.0\n", + "\n", + " rows.append(row)\n", + " data.append(dt_mat[i, j])\n", + " pairs.append((i, j))\n", + "\n", + "A = np.asarray(rows, dtype=float)\n", + "d = np.asarray(data, dtype=float)\n", + "\n", + "if len(d) == 0:\n", + " raise ValueError(\"No valid differential pick times were found.\")\n", + "\n", + "# Add the zero-mean constraint:\n", + "# t_1 + t_2 + ... + t_n = 0\n", + "constraint_weight = 10.0\n", + "\n", + "A = np.vstack([\n", + " A,\n", + " np.ones(len(waveforms)) * constraint_weight\n", + "])\n", + "\n", + "d = np.append(d, 0.0)\n", + "\n", + "t_rel, _, _, _ = np.linalg.lstsq(\n", + " A,\n", + " d,\n", + " rcond=None\n", + ")\n", + "\n", + "# Remove any tiny numerical mean\n", + "t_rel -= np.mean(t_rel)\n", + "\n", + "names = [waveform.stats.station for waveform in waveforms]\n", + "\n", + "for name, delay in sorted(\n", + " zip(names, t_rel),\n", + " key=lambda item: item[1]\n", + "):\n", + " print(f\"{name:6s} {delay:+.4f} s\")" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "123a9a7e", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "Plot: Cross correlation function" + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cfeature\n", + "\n", + "fig = plt.figure(figsize=(6, 6))\n", + "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n", + "\"\"\"Add land/ocean/coastline context and frame the search box.\"\"\"\n", + "min_lat, max_lat = 46, 48.5 # south / north edges\n", + "min_lon, max_lon = -125.5, -122.5 # west / east \n", + "ax.set_extent([min_lon, max_lon, min_lat, max_lat], crs=ccrs.PlateCarree())\n", + "ax.add_feature(cfeature.LAND, facecolor=\"#f3f0ea\")\n", + "ax.add_feature(cfeature.OCEAN, facecolor=\"#dcebf2\")\n", + "ax.add_feature(cfeature.COASTLINE, linewidth=0.6)\n", + "ax.add_feature(cfeature.STATES, linestyle=\":\", linewidth=0.4)\n", + "gl = ax.gridlines(draw_labels=True, linewidth=0.3, color=\"gray\", alpha=0.5)\n", + "gl.top_labels = gl.right_labels = False\n", + "\n", + "ax.scatter(event_lon, event_lat, marker=\"*\", s = 150, color = \"navy\", \n", + " transform=ccrs.PlateCarree(), zorder=6)\n", + "\n", + "ax.scatter(event_lon, event_lat, marker=\"*\", s = 150, color = \"navy\", \n", + " transform=ccrs.PlateCarree(), zorder=6)\n", + "\n", + "st_df_flt = st_df[st_df['qc_test']]\n", + "sc = ax.scatter(st_df_flt['longitude'], st_df_flt['latitude'], marker=\"o\", s=40,\n", + " c = t_rel, linewidths=2.2,\n", + " transform=ccrs.PlateCarree(), zorder=5)\n", + "cbar = fig.colorbar(sc)\n", + "cbar.set_label(\"Relative Delay Time (s)\")" ] }, { "cell_type": "markdown", - "id": "9f8bdda1", + "id": "e7401cbc", + "metadata": {}, + "source": [ + "#### **Correcting the Delay Map for Source–Station Distance**\n", + "\n", + "The relative arrival-time map shown above contains two main influences:\n", + "\n", + "1. **Source–station geometry:** stations farther from the earthquake generally record the P wave later because the wave travels a longer distance.\n", + "2. **Subsurface velocity structure:** P waves travel more slowly through low-velocity materials, such as sedimentary basins, and more quickly through higher-velocity crustal rocks.\n", + "\n", + "To better isolate the effect of subsurface structure, we first estimate the arrival time expected from the earthquake-to-station distance. For this exercise, we assume that the P wave travels along a straight path through a homogeneous Earth with a constant velocity of:\n", + "\n", + "$$V_P = 5.0\\ \\text{km/s}$$\n", + "\n", + "The approximate hypocentral distance is calculated as:\n", + "\n", + "$$D_{\\mathrm{hypo}} =\\sqrt{D_{\\mathrm{horizontal}}^2 + D_{\\mathrm{vertical}}^2}$$\n", + "\n", + "where $D_{\\mathrm{horizontal}}$ is the surface distance between the earthquake and station, and $D_{\\mathrm{vertical}}$ is the vertical separation between the hypocenter and station.\n", + "\n", + "The predicted P-wave travel time is then:\n", + "\n", + "$$t_{\\mathrm{pred}} = \\frac{D_{\\mathrm{hypo}}}{V_P}$$\n", + "\n", + "Because the observed delays were calculated relative to the network average, the predicted travel times must also be converted to relative times before they are compared." + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "2de85b3d", "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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networkstationstart_datelatitudelongitudeelevationchannelsample_ratedata_availablegaps_detectedtime_pick1time_pick2freqminfreqmaxqc_testhorizontal_distance_kmvertical_distance_kmhypocentral_distance_kmpredicted_travel_time_s
0USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0TrueFalse80.0100.02.08.0True42.71792840.060058.56300011.712600
1UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0TrueFalse127.0145.02.010.0True55.77275539.482068.33321713.666643
2UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0TrueFalse127.0145.02.09.0True54.51101540.021067.62493113.524986
3UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0TrueFalse125.0140.00.510.0True29.09698441.025050.29597510.059195
4UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0TrueFalse140.0175.04.010.0True163.83110139.4804168.52101233.704202
5UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0TrueFalse130.0175.02.510.0True92.77108039.5325100.84290720.168581
6UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0TrueFalse120.0155.02.58.0True46.79346540.161061.66469312.332939
7UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0TrueFalse57.570.02.58.0True91.92027239.5102100.05194820.010390
8UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0TrueFalse55.570.02.510.0True89.15424539.476497.50315719.500631
9UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0TrueFalse55.570.02.57.5True90.74760739.473398.96095019.792190
10UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0TrueFalse55.570.02.010.0True94.81861639.5369102.73138020.546276
11UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0TrueFalse55.570.02.010.0True88.58843339.498896.99518419.399037
12UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0TrueFalse120.0175.02.010.0True93.96133539.5460101.94419320.388839
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" + ], + "text/plain": [ + " network station start_date latitude longitude \\\n", + "0 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", + "1 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", + "2 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", + "3 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", + "4 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", + "5 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", + "6 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", + "7 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", + "8 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", + "9 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", + "10 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", + "11 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", + "12 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", + "\n", + " elevation channel sample_rate data_available gaps_detected time_pick1 \\\n", + "0 640.0 HNZ 200.0 True False 80.0 \n", + "1 62.0 HNZ 200.0 True False 127.0 \n", + "2 601.0 HNZ 200.0 True False 127.0 \n", + "3 1605.0 HNZ 200.0 True False 125.0 \n", + "4 60.4 HNZ 200.0 True False 140.0 \n", + "5 112.5 HNZ 200.0 True False 130.0 \n", + "6 741.0 HNZ 200.0 True False 120.0 \n", + "7 90.2 HNZ 200.0 True False 57.5 \n", + "8 56.4 HNZ 200.0 True False 55.5 \n", + "9 53.3 HNZ 200.0 True False 55.5 \n", + "10 116.9 HNZ 200.0 True False 55.5 \n", + "11 78.8 HNZ 200.0 True False 55.5 \n", + "12 126.0 HNZ 200.0 True False 120.0 \n", + "\n", + " time_pick2 freqmin freqmax qc_test horizontal_distance_km \\\n", + "0 100.0 2.0 8.0 True 42.717928 \n", + "1 145.0 2.0 10.0 True 55.772755 \n", + "2 145.0 2.0 9.0 True 54.511015 \n", + "3 140.0 0.5 10.0 True 29.096984 \n", + "4 175.0 4.0 10.0 True 163.831101 \n", + "5 175.0 2.5 10.0 True 92.771080 \n", + "6 155.0 2.5 8.0 True 46.793465 \n", + "7 70.0 2.5 8.0 True 91.920272 \n", + "8 70.0 2.5 10.0 True 89.154245 \n", + "9 70.0 2.5 7.5 True 90.747607 \n", + "10 70.0 2.0 10.0 True 94.818616 \n", + "11 70.0 2.0 10.0 True 88.588433 \n", + "12 175.0 2.0 10.0 True 93.961335 \n", + "\n", + " vertical_distance_km hypocentral_distance_km predicted_travel_time_s \n", + "0 40.0600 58.563000 11.712600 \n", + "1 39.4820 68.333217 13.666643 \n", + "2 40.0210 67.624931 13.524986 \n", + "3 41.0250 50.295975 10.059195 \n", + "4 39.4804 168.521012 33.704202 \n", + "5 39.5325 100.842907 20.168581 \n", + "6 40.1610 61.664693 12.332939 \n", + "7 39.5102 100.051948 20.010390 \n", + "8 39.4764 97.503157 19.500631 \n", + "9 39.4733 98.960950 19.792190 \n", + "10 39.5369 102.731380 20.546276 \n", + "11 39.4988 96.995184 19.399037 \n", + "12 39.5460 101.944193 20.388839 " + ] + }, + "execution_count": 61, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ - "Plot: Delay time vs station distance" + "import numpy as np\n", + "from obspy.geodetics import gps2dist_azimuth\n", + "\n", + "# ---------------------------------------------------------\n", + "# 1. Select stations that passed quality control\n", + "# ---------------------------------------------------------\n", + "st_df_flt = (\n", + " st_df.loc[st_df[\"qc_test\"]]\n", + " .copy()\n", + " .reset_index(drop=True)\n", + ")\n", + "\n", + "# Convert the existing relative arrival times to an array\n", + "observed_relative_time = np.asarray(t_rel, dtype=float)\n", + "\n", + "# Confirm that station and arrival-time arrays are aligned\n", + "if len(st_df_flt) != len(observed_relative_time):\n", + " raise ValueError(\n", + " \"The number of QC-passed stations does not match the number of relative arrival times in t_rel.\"\n", + " )\n", + "\n", + "# ---------------------------------------------------------\n", + "# 2. Read earthquake information\n", + "# ---------------------------------------------------------\n", + "event_lat = event_selection[\"event_latitude\"]\n", + "event_lon = event_selection[\"event_longitude\"]\n", + "event_depth_km = event_selection[\"event_depth\"]\n", + "\n", + "# Constant P-wave velocity used for the simplified model\n", + "vp_km_s = 5.0\n", + "\n", + "# ---------------------------------------------------------\n", + "# 3. Calculate horizontal source-station distances\n", + "# ---------------------------------------------------------\n", + "horizontal_distance_km = []\n", + "\n", + "for station_lat, station_lon in zip(st_df_flt[\"latitude\"],st_df_flt[\"longitude\"]\n", + "):\n", + " distance_m, _, _ = gps2dist_azimuth(event_lat, event_lon, station_lat, station_lon)\n", + "\n", + " horizontal_distance_km.append(distance_m / 1000.0)\n", + "\n", + "horizontal_distance_km = np.asarray(horizontal_distance_km, dtype=float)\n", + "\n", + "# ---------------------------------------------------------\n", + "# 4. Calculate vertical source-station separation\n", + "# ---------------------------------------------------------\n", + "# Event depth is positive downward.\n", + "# Station elevation is positive upward.\n", + "#\n", + "# Therefore, a station above sea level is slightly farther\n", + "# vertically from the hypocenter.\n", + "\n", + "station_elevation_km = (st_df_flt[\"elevation\"].to_numpy(dtype=float) / 1000.0)\n", + "\n", + "vertical_distance_km = (event_depth_km + station_elevation_km)\n", + "\n", + "# ---------------------------------------------------------\n", + "# 5. Calculate approximate hypocentral distance\n", + "# ---------------------------------------------------------\n", + "hypocentral_distance_km = np.sqrt(horizontal_distance_km**2 + vertical_distance_km**2)\n", + "\n", + "# ---------------------------------------------------------\n", + "# 6. Predict P-wave travel time\n", + "# ---------------------------------------------------------\n", + "predicted_travel_time = (hypocentral_distance_km / vp_km_s)\n", + "\n", + "# Add calculated quantities to the station dataframe\n", + "st_df_flt[\"horizontal_distance_km\"] = horizontal_distance_km\n", + "st_df_flt[\"vertical_distance_km\"] = vertical_distance_km\n", + "st_df_flt[\"hypocentral_distance_km\"] = hypocentral_distance_km\n", + "st_df_flt[\"predicted_travel_time_s\"] = predicted_travel_time\n", + "st_df_flt" ] }, { "cell_type": "markdown", - "id": "c04c5b18", + "id": "8b994221", + "metadata": {}, + "source": [ + "#### **Converting the Predictions to Relative Arrival Times**\n", + "\n", + "The previously calculated values in `t_rel` are relative arrival times. Their average is approximately zero because the inversion used a zero-mean constraint.\n", + "\n", + "The absolute predicted travel times cannot be subtracted directly from these relative observations. First, the predicted times must be placed on the same relative reference:\n", + "\n", + "$$t_{\\mathrm{pred,rel},i} = t_{\\mathrm{pred},i} - \\overline{t_{\\mathrm{pred}}}$$\n", + "\n", + "The distance-corrected residual is then:\n", + "\n", + "$$\\delta t_i = t_{\\mathrm{obs,rel},i} - t_{\\mathrm{pred,rel},i}$$\n", + "\n", + "where:\n", + "\n", + "- $\\delta t_i > 0$ indicates that the P wave arrived later than expected for the assumed 5 km/s velocity.\n", + "- $\\delta t_i < 0$ indicates that the P wave arrived earlier than expected.\n", + "- $\\delta t_i \\approx 0$ indicates that the observed arrival is close to the constant-velocity prediction.\n", + "\n", + "These residuals reduce the first-order influence of source–station distance and allow us to more clearly examine spatial variations associated with the travel path." + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "60ae56d7", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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networkstationhorizontal_distance_kmhypocentral_distance_kmpredicted_travel_time_sobserved_relative_time_spredicted_relative_time_stravel_time_residual_s
0USNLWA42.71858.56311.713-4.828-6.3491.521
1UWBILS55.77368.33313.667-3.123-4.3951.272
2UWBLN54.51167.62513.525-3.323-4.5371.214
3UWHURR29.09750.29610.059-6.083-8.0031.920
4UWLWCK163.831168.52133.7049.95715.642-5.685
5UWMAC92.771100.84320.1692.1272.1070.020
6UWOOW246.79361.66512.333-4.043-5.7291.686
7UWQCMM91.920100.05220.0100.8271.948-1.121
8UWQFRZ89.15497.50319.5011.3121.439-0.127
9UWQOCL90.74898.96119.7921.1271.730-0.603
10UWQSKT94.819102.73120.5462.2472.484-0.237
11UWQTNB88.58896.99519.3991.5971.3370.260
12UWUPL93.961101.94420.3892.2072.327-0.120
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" + ], + "text/plain": [ + " network station horizontal_distance_km hypocentral_distance_km \\\n", + "0 US NLWA 42.718 58.563 \n", + "1 UW BILS 55.773 68.333 \n", + "2 UW BLN 54.511 67.625 \n", + "3 UW HURR 29.097 50.296 \n", + "4 UW LWCK 163.831 168.521 \n", + "5 UW MAC 92.771 100.843 \n", + "6 UW OOW2 46.793 61.665 \n", + "7 UW QCMM 91.920 100.052 \n", + "8 UW QFRZ 89.154 97.503 \n", + "9 UW QOCL 90.748 98.961 \n", + "10 UW QSKT 94.819 102.731 \n", + "11 UW QTNB 88.588 96.995 \n", + "12 UW UPL 93.961 101.944 \n", + "\n", + " predicted_travel_time_s observed_relative_time_s \\\n", + "0 11.713 -4.828 \n", + "1 13.667 -3.123 \n", + "2 13.525 -3.323 \n", + "3 10.059 -6.083 \n", + "4 33.704 9.957 \n", + "5 20.169 2.127 \n", + "6 12.333 -4.043 \n", + "7 20.010 0.827 \n", + "8 19.501 1.312 \n", + "9 19.792 1.127 \n", + "10 20.546 2.247 \n", + "11 19.399 1.597 \n", + "12 20.389 2.207 \n", + "\n", + " predicted_relative_time_s travel_time_residual_s \n", + "0 -6.349 1.521 \n", + "1 -4.395 1.272 \n", + "2 -4.537 1.214 \n", + "3 -8.003 1.920 \n", + "4 15.642 -5.685 \n", + "5 2.107 0.020 \n", + "6 -5.729 1.686 \n", + "7 1.948 -1.121 \n", + "8 1.439 -0.127 \n", + "9 1.730 -0.603 \n", + "10 2.484 -0.237 \n", + "11 1.337 0.260 \n", + "12 2.327 -0.120 " + ] + }, + "execution_count": 62, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + " # ---------------------------------------------------------\n", + "# 1. Ensure that the observed relative times have zero mean\n", + "# ---------------------------------------------------------\n", + "observed_relative_time = (observed_relative_time - np.mean(observed_relative_time))\n", + "\n", + "# ---------------------------------------------------------\n", + "# 2. Convert predicted travel times to relative times\n", + "# ---------------------------------------------------------\n", + "predicted_relative_time = (predicted_travel_time- np.mean(predicted_travel_time))\n", + "\n", + "# ---------------------------------------------------------\n", + "# 3. Calculate observed-minus-predicted residuals\n", + "# ---------------------------------------------------------\n", + "travel_time_residual = (observed_relative_time - predicted_relative_time)\n", + "\n", + "# Remove any very small numerical mean\n", + "travel_time_residual -= np.mean(travel_time_residual)\n", + "\n", + "# Store the results\n", + "st_df_flt[\"observed_relative_time_s\"] = observed_relative_time\n", + "st_df_flt[\"predicted_relative_time_s\"] = predicted_relative_time\n", + "st_df_flt[\"travel_time_residual_s\"] = travel_time_residual\n", + "\n", + "# Display the main results\n", + "result_columns = [\n", + " \"network\",\n", + " \"station\",\n", + " \"horizontal_distance_km\",\n", + " \"hypocentral_distance_km\",\n", + " \"predicted_travel_time_s\",\n", + " \"observed_relative_time_s\",\n", + " \"predicted_relative_time_s\",\n", + " \"travel_time_residual_s\"\n", + "]\n", + "\n", + "st_df_flt[result_columns].round(3)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "f51f8e06", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "#### **1.5 Make a delay time plot**" + "import matplotlib.pyplot as plt\n", + "\n", + "distance_order = np.argsort(hypocentral_distance_km)\n", + "\n", + "fig, ax = plt.subplots(figsize=(7, 5))\n", + "\n", + "ax.scatter(\n", + " hypocentral_distance_km,\n", + " observed_relative_time,\n", + " s=65,\n", + " edgecolor=\"black\",\n", + " label=\"Observed relative P arrival\"\n", + ")\n", + "\n", + "ax.plot(\n", + " hypocentral_distance_km[distance_order],\n", + " predicted_relative_time[distance_order],\n", + " linewidth=2,\n", + " label=\"Predicted relative arrival, $V_P = 5$ km/s\"\n", + ")\n", + "\n", + "for distance, arrival, station in zip(\n", + " hypocentral_distance_km,\n", + " observed_relative_time,\n", + " st_df_flt[\"station\"]\n", + "):\n", + " ax.annotate(\n", + " station,\n", + " (distance, arrival),\n", + " xytext=(4, 4),\n", + " textcoords=\"offset points\",\n", + " fontsize=8\n", + " )\n", + "\n", + "ax.axhline(\n", + " 0,\n", + " linewidth=0.8,\n", + " linestyle=\"--\"\n", + ")\n", + "\n", + "ax.set_xlabel(\"Hypocentral distance (km)\")\n", + "ax.set_ylabel(\"Relative P-arrival time (s)\")\n", + "ax.set_title(\"Observed and Predicted P-Wave Moveout\")\n", + "ax.grid(alpha=0.3)\n", + "ax.legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" ] }, { "cell_type": "markdown", - "id": "daef9f17", + "id": "b2e91d3b", + "metadata": {}, + "source": [ + "#### **Mapping the Distance-Corrected P-Wave Residuals**\n", + "\n", + "The original map primarily showed relative arrival time. Consequently, stations farther from the earthquake tended to have more positive values, while stations close to the earthquake tended to have more negative values.\n", + "\n", + "The corrected map instead shows the difference between the observed relative arrival time and the arrival time predicted from hypocentral distance:\n", + "\n", + "$$\\delta t = t_{\\mathrm{obs,rel}} - t_{\\mathrm{pred,rel}}$$\n", + "\n", + "A positive residual means that the P wave arrived later than predicted by the constant 5 km/s model. This may be consistent with a greater proportion of the ray path traveling through relatively slow material, such as sedimentary basin deposits.\n", + "\n", + "A negative residual means that the P wave arrived earlier than predicted. This may be consistent with a greater proportion of the ray path traveling through relatively fast, consolidated crustal rocks.\n", + "\n", + "However, each residual represents the integrated effect of the entire earthquake-to-station ray path. It should not automatically be interpreted as the geology directly beneath the station." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "73e831ec", "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "The purpose of this section is to produce an interpretable scientific output" + "import matplotlib.pyplot as plt\n", + "import cartopy.crs as ccrs\n", + "import cartopy.feature as cfeature\n", + "\n", + "from matplotlib.colors import TwoSlopeNorm\n", + "\n", + "event_lat = event_selection[\"event_latitude\"]\n", + "event_lon = event_selection[\"event_longitude\"]\n", + "\n", + "# Values to map\n", + "t_residual = st_df_flt[\"travel_time_residual_s\"].to_numpy()\n", + "\n", + "# Use a symmetric color scale around zero\n", + "max_absolute_residual = np.nanmax(np.abs(t_residual))\n", + "\n", + "norm = TwoSlopeNorm(vmin=-max_absolute_residual, vcenter=0.0, vmax=max_absolute_residual)\n", + "\n", + "fig = plt.figure(figsize=(7, 6))\n", + "\n", + "ax = fig.add_subplot(1,1,1,projection=ccrs.PlateCarree())\n", + "\n", + "# Map extent\n", + "min_lat, max_lat = 46.0, 48.5\n", + "min_lon, max_lon = -125.5, -122.5\n", + "\n", + "ax.set_extent(\n", + " [min_lon, max_lon, min_lat, max_lat], crs=ccrs.PlateCarree()\n", + ")\n", + "\n", + "# Geographic context\n", + "ax.add_feature(cfeature.LAND, facecolor=\"#f3f0ea\")\n", + "ax.add_feature(cfeature.OCEAN, facecolor=\"#dcebf2\")\n", + "ax.add_feature(cfeature.COASTLINE, linewidth=0.6)\n", + "ax.add_feature(cfeature.STATES, linestyle=\":\",linewidth=0.4)\n", + "\n", + "gridlines = ax.gridlines(draw_labels=True,linewidth=0.3,color=\"gray\",alpha=0.5)\n", + "\n", + "gridlines.top_labels = False\n", + "gridlines.right_labels = False\n", + "\n", + "# Plot earthquake\n", + "ax.scatter(event_lon, event_lat, marker=\"*\", s=170, color=\"navy\", edgecolor=\"black\", linewidth=0.5,\n", + " transform=ccrs.PlateCarree(), label=\"Earthquake\", zorder=6)\n", + "\n", + "# Plot station residuals\n", + "scatter = ax.scatter(st_df_flt[\"longitude\"], st_df_flt[\"latitude\"], c=t_residual,\n", + " cmap=\"RdBu_r\", norm=norm, marker=\"o\", s=65, edgecolor=\"black\", linewidth=0.7,\n", + " transform=ccrs.PlateCarree(), zorder=5)\n", + "\n", + "# Add station labels\n", + "for _, station in st_df_flt.iterrows():\n", + " ax.text(station[\"longitude\"] + 0.025, station[\"latitude\"] + 0.015, station[\"station\"],\n", + " fontsize=7, transform=ccrs.PlateCarree(), zorder=7)\n", + "\n", + "colorbar = fig.colorbar(scatter, ax=ax, pad=0.03, shrink=0.8)\n", + "\n", + "colorbar.set_label(\"Observed − predicted P-wave residual (s)\")\n", + "\n", + "ax.set_title(\n", + " \"Distance-Corrected P-Wave Travel-Time Residuals\\n\"\n", + " \"Constant $V_P = 5.0$ km/s\"\n", + ")\n", + "\n", + "ax.legend(loc=\"lower left\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" ] }, { "cell_type": "markdown", - "id": "c21fec74", + "id": "7745559e", "metadata": {}, "source": [ - "Plot the delay time of stations on a geographic map" + "The crude interpretation of delay map plot: \n", + "- The stations with negetive travel time residuals should have Vp lower than 5\n", + "- The stations with zero travel time residuals should have Vp similar to 5\n", + "- The stations with positive travel time residuals should have Vp higher to 5" ] }, { @@ -242,8 +2138,22 @@ } ], "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, "language_info": { - "name": "python" + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.11.10" } }, "nbformat": 4, diff --git a/tutorials/MVP1-SAGE/event_selection.json b/tutorials/MVP1-SAGE/event_selection.json index e2a1a5e..b79cda8 100644 --- a/tutorials/MVP1-SAGE/event_selection.json +++ b/tutorials/MVP1-SAGE/event_selection.json @@ -1,8 +1,8 @@ { "event_time": "2018-11-19T11:09:13.130000Z", - "target_channel": "HN?", - "pre_event_seconds": 120, - "post_event_seconds": 480, + "event_latitude": 47.711333333333, + "event_longitude": -123.55416666667, + "event_depth": 39.42, "start_time": "2018-11-19T11:07:13.130000Z", "end_time": "2018-11-19T11:17:13.130000Z" } \ No newline at end of file From ca00e68a483f943ab041a7ddcabac2a64977aa92 Mon Sep 17 00:00:00 2001 From: Asif Ashraf Date: Sun, 2 Aug 2026 08:25:07 -0700 Subject: [PATCH 13/15] dask nb --- tutorials/DASK/.DS_Store | Bin 0 -> 6148 bytes tutorials/DASK/dask_application.ipynb | 591 +++++++++ tutorials/DASK/dask_operation.ipynb | 1707 +++++++++++++++++++++++++ tutorials/DASK/mydask.png | Bin 0 -> 153053 bytes 4 files changed, 2298 insertions(+) create mode 100644 tutorials/DASK/.DS_Store create mode 100644 tutorials/DASK/dask_application.ipynb create mode 100644 tutorials/DASK/dask_operation.ipynb create mode 100644 tutorials/DASK/mydask.png diff --git a/tutorials/DASK/.DS_Store b/tutorials/DASK/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0 **Key idea:** After the shared inventory has been retrieved, one waveform request does not depend on the result from another waveform request. The requests can therefore be processed independently." + ] + }, + { + "cell_type": "markdown", + "id": "521e080a-d760-435e-be1c-23cc69454602", + "metadata": {}, + "source": [ + "### **3. Define the unit of work**\n", + "\n", + "Before introducing Dask, we must decide what tasks should be accomplished. In this workflow, the unit of work is the complete processing sequence for one waveform request.\n", + "\n", + "The `process_station()` function performs the following operations:\n", + "\n", + "1. Create an ObsPy FDSN client.\n", + "2. Retrieve one waveform from EarthScope web services.\n", + "3. Merge adjacent waveform segments when necessary.\n", + "4. Detrend and taper the waveform.\n", + "5. Remove the instrument response.\n", + "6. Calculate the peak and root-mean-square amplitudes.\n", + "7. Return a small dictionary containing the results.\n", + "\n", + "The operations within one station branch must remain sequential. For example, the instrument response cannot be removed before the waveform is retrieved. However, the complete branches for separate stations do not depend on one another and may therefore be executed in parallel by the Dask scheduler." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "ffa97187-8dae-4b54-929b-25092a2ee13a", + "metadata": {}, + "outputs": [], + "source": [ + "import numpy as np\n", + "\n", + "def process_station(request, event_time, pre_time, post_time, inventory):\n", + " \"\"\" Retrieve and process one seismic waveform using ObsPy \"\"\"\n", + " \n", + " client = FDSNClient(\"EARTHSCOPE\")\n", + " \n", + " try:\n", + " stream = client.get_waveforms(\n", + " network=request[\"network\"],\n", + " station=request[\"station\"],\n", + " location=request[\"location\"],\n", + " channel=request[\"channel\"],\n", + " starttime=event_time - pre_time,\n", + " endtime=event_time + post_time,\n", + " )\n", + " \n", + " print(f\"Waveform found for station: {request['station']}\")\n", + " \n", + " stream.merge(method=1, fill_value=\"interpolate\")\n", + " \n", + " trace = stream[0].copy()\n", + " \n", + " trace.detrend(\"linear\")\n", + " trace.detrend(\"demean\")\n", + " trace.taper(max_percentage=0.05)\n", + " \n", + " trace.remove_response(inventory = inventory)\n", + " \n", + " # Calculate two simple waveform measurements.\n", + " peak_amplitude = float(np.max(np.abs(trace.data)))\n", + " rms_amplitude = float(np.sqrt(np.mean(np.square(trace.data))))\n", + " \n", + " waveform_id = \".\".join(\n", + " [\n", + " request[\"network\"],\n", + " request[\"station\"],\n", + " request[\"location\"],\n", + " request[\"channel\"],\n", + " ]\n", + " )\n", + " return {\n", + " \"waveform_id\":waveform_id,\n", + " \"peak_amplitude\":peak_amplitude,\n", + " \"rms_amplitude\":rms_amplitude\n", + " }\n", + " except Exception as e:\n", + " # Surface the reason (no data, network error, ...) instead of failing silently.\n", + " print(f\"No waveform returned for station: {request['station']} ({type(e).__name__}: {e})\")\n", + " return None" + ] + }, + { + "cell_type": "markdown", + "id": "050a0b00-a578-449e-afdb-81d627966b06", + "metadata": {}, + "source": [ + "This function can now be called in two different ways:\n", + "\n", + "- directly from a normal Python loop for serial execution; or\n", + "- through `dask.delayed` for parallel execution.\n", + "\n", + "The scientific processing steps do not need to be rewritten. Dask changes the execution strategy around the function rather than changing the underlying analysis." + ] + }, + { + "cell_type": "markdown", + "id": "bc66b522-c1f3-4a57-adfb-a7b3844584af", + "metadata": {}, + "source": [ + "### **4. Serial Processing**\n", + "\n", + "In the following loop, Python processes the waveform requests one at a time:\n", + "\n", + "1. retrieve and process the first waveform;\n", + "2. wait until that request finishes;\n", + "3. move to the next waveform; and\n", + "4. continue until every request has been attempted.\n", + "\n", + "The `perf_counter()` function records the total elapsed time for the complete loop." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "783eeaa0-4309-4803-a233-4a80dae8f17f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Waveform found for station: BERY\n", + "Waveform found for station: BST16\n", + "Waveform found for station: BST19\n", + "Waveform found for station: BST20\n", + "Waveform found for station: BST21\n", + "Waveform found for station: BST22\n", + "Waveform found for station: BST23\n", + "Waveform found for station: DOSE\n", + "Waveform found for station: GNW\n", + "Waveform found for station: RATT\n", + "Waveform found for station: SP2\n", + "Waveform found for station: STOR\n", + "Waveform found for station: TKEY\n", + "** Runtime for serial processing: 5.71 s (13 of 13 stations returned data) **\n" + ] + } + ], + "source": [ + "from time import perf_counter\n", + "\n", + "serial_start = perf_counter()\n", + "\n", + "serial_results = []\n", + "for request in requests:\n", + " result = process_station(request=request, event_time=event_time,\n", + " pre_time=pre_time, post_time=post_time, \n", + " inventory=inventory)\n", + " # process_station() returns None when no waveform is available, so keep\n", + " # only the successful results.\n", + " if result is not None:\n", + " serial_results.append(result)\n", + "\n", + "serial_runtime = perf_counter() - serial_start\n", + "print(f\"** Runtime for serial processing: {serial_runtime:.2f} s ({len(serial_results)} of {len(requests)} stations returned data) **\")" + ] + }, + { + "cell_type": "markdown", + "id": "71985d2c", + "metadata": {}, + "source": [ + "This loop is the baseline: it calls `process_station()` directly, one request at a time, so each download must finish completely before the next begins. The elapsed time therefore approximates the *sum* of all the individual retrieval and processing times. Failed requests return `None` and are skipped, so `serial_results` contains one dictionary of measurements per successfully retrieved waveform. Note the runtime printed here — we will compare it against the parallel version next." + ] + }, + { + "cell_type": "markdown", + "id": "b2878048-3584-48d8-873a-d3375d2d72ef", + "metadata": {}, + "source": [ + "### **5. Parallel Processing**\n", + "\n", + "We will now apply Dask Delayed to the same `process_station()` function. The processing logic remains unchanged; only the way the function calls are represented and executed will change.\n", + "\n", + "For each waveform request, `delayed(process_station)(...)` creates a lazy Dask task. At this stage, Dask records:\n", + "\n", + "- the function that should be called;\n", + "- the input arguments for that request; and\n", + "- the dependencies associated with the task." + ] + }, + { + "cell_type": "markdown", + "id": "7895d1cb", + "metadata": {}, + "source": [ + "**Where does this computation actually run? Local scheduler vs. distributed cluster**\n", + "\n", + "Note that this notebook never starts a Dask cluster or creates a `dask.distributed.Client`. When `compute()` is called without a client, Dask falls back to its default **local threaded scheduler**: the tasks run in a thread pool inside this notebook's own Python process, on this one machine — not on distributed workers.\n", + "\n", + "That is a deliberate and reasonable choice here. The dominant cost of each task is network I/O (waiting for EarthScope web services to return waveforms), and ObsPy releases Python's Global Interpreter Lock (GIL) while waiting on the network, so multiple threads genuinely overlap their downloads. Threads also share memory, so the `inventory` object is passed to every task without any serialization cost.\n", + "\n", + "As a rule of thumb:\n", + "\n", + "- **Local threaded scheduler** (what we use here) — best when tasks are I/O-bound or call GIL-releasing libraries (NumPy, ObsPy), the data fits on one machine, and simplicity matters. Zero setup, minimal overhead.\n", + "- **Local `LocalCluster` + `Client`** (as in the companion *Dask Operation* notebook) — still one machine, but with worker *processes*, the diagnostic dashboard, and Futures support. Useful when tasks are CPU-bound pure-Python code that would otherwise serialize on the GIL, or when you want to watch execution live.\n", + "- **Distributed cluster** (e.g., a Dask Gateway cluster on GeoLab) — needed when the computation or the data exceeds one machine: thousands of waveforms, terabyte-scale arrays, or many-node scaling. The workflow code below would not change; only the client connection would.\n", + "\n", + "Because the code is identical in all three cases, a good practice — and the one this tutorial follows — is to develop and debug locally, then point the same workflow at a larger cluster only when the problem size demands it." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "f7b4bbc2-f2d7-4bd2-87bb-363acf7b3cc0", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Waveform found for station: BST23\n", + "Waveform found for station: BST19\n", + "Waveform found for station: TKEY\n", + "Waveform found for station: RATT\n", + "Waveform found for station: STOR\n", + "Waveform found for station: BERY\n", + "Waveform found for station: DOSE\n", + "Waveform found for station: BST20\n", + "Waveform found for station: GNW\n", + "Waveform found for station: BST16\n", + "Waveform found for station: SP2\n", + "Waveform found for station: BST21\n", + "Waveform found for station: BST22\n", + "** Runtime for parallel processing: 1.27 s (13 of 13 stations returned data) **\n" + ] + } + ], + "source": [ + "from dask import delayed \n", + "\n", + "station_tasks = []\n", + "\n", + "for request in requests:\n", + " task = delayed(process_station)(request=request, event_time=event_time,\n", + " pre_time=pre_time, post_time=post_time,\n", + " inventory=inventory)\n", + " station_tasks.append(task)\n", + "\n", + "workflow = delayed(list)(station_tasks)\n", + "\n", + "parallel_start = perf_counter()\n", + "\n", + "parallel_results = workflow.compute()\n", + "\n", + "# Filter out failed requests, exactly as in the serial loop.\n", + "parallel_results = [r for r in parallel_results if r is not None]\n", + "\n", + "parallel_runtime = perf_counter() - parallel_start\n", + "\n", + "print(f\"** Runtime for parallel processing: {parallel_runtime:.2f} s ({len(parallel_results)} of {len(requests)} stations returned data) **\")" + ] + }, + { + "cell_type": "markdown", + "id": "6684ae39", + "metadata": {}, + "source": [ + "The loop body looks almost identical to the serial version — the only change is that each call is wrapped in `delayed()`, so instead of executing, it records a task. `delayed(list)(station_tasks)` adds one final task that gathers every station result into a single list, and nothing runs until `workflow.compute()` is called. At that point the scheduler executes the independent station tasks concurrently in a thread pool, so the elapsed time is set by the *slowest* downloads rather than the sum of all of them — which is why the printed runtime should be substantially shorter than the serial one." + ] + }, + { + "cell_type": "markdown", + "id": "8d94068f-3d0c-4f6f-acad-67190ec50ae8", + "metadata": {}, + "source": [ + "| Serial workflow | Dask Delayed workflow |\n", + "|---|---|\n", + "| Calls the function immediately | Creates lazy task objects |\n", + "| Processes requests one at a time | May process independent requests concurrently |\n", + "| Uses an ordinary Python loop | Uses a Dask task graph |\n", + "| Produces each result during the loop | Produces the final list when `compute()` finishes |\n", + "| Has little scheduling overhead | Requires task-scheduling overhead |" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "f30f1380", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Serial runtime: 5.71 s\n", + "Parallel runtime: 1.27 s\n", + "Speedup: 4.49x using the local threaded scheduler\n" + ] + } + ], + "source": [ + "# -- Compare the two runtimes side by side --\n", + "\n", + "speedup = serial_runtime / parallel_runtime\n", + "\n", + "print(f\"Serial runtime: {serial_runtime:6.2f} s\")\n", + "print(f\"Parallel runtime: {parallel_runtime:6.2f} s\")\n", + "print(f\"Speedup: {speedup:6.2f}x using the local threaded scheduler\")" + ] + }, + { + "cell_type": "markdown", + "id": "209780e9", + "metadata": {}, + "source": [ + "### **6. Summary**\n", + "\n", + "In this notebook we accelerated a real seismic workflow with Dask while leaving the science code untouched. Looking back at the learning objectives:\n", + "\n", + "- **Applying Dask to a real workflow** — the same `process_station()` function ran serially and in parallel; only the execution style changed.\n", + "- **Separating shared setup from station-level work** — the single `level=\"response\"` inventory query ran once, up front, and was shared by every task.\n", + "- **One `delayed` task per request** — each waveform request became an independent, lazy task in the graph.\n", + "- **When execution begins** — nothing ran until `workflow.compute()`, at which point the local threaded scheduler executed the independent tasks concurrently.\n", + "\n", + "**When does this pattern pay off?** It shines when a workflow consists of *many independent, I/O-bound tasks* — here, dozens of waveform downloads that spend most of their time waiting on the network. The benefit shrinks when there are only a few tasks, when tasks depend heavily on one another (limiting concurrency), or when per-task work is so small that scheduling overhead dominates.\n", + "\n", + "**Next steps.** The same workflow, unchanged, can run on a distributed Dask Gateway cluster on GeoLab: connect a `Client` to the Gateway cluster and call `workflow.compute()` as before. The companion *Dask Operation* notebook shows the `Client`-based setup, the diagnostic dashboard, and the Futures interface for dynamic workflows. (If you do create a `Client`, remember to call `client.close()` when finished — this releases shared GeoLab resources for other users.)" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/tutorials/DASK/dask_operation.ipynb b/tutorials/DASK/dask_operation.ipynb new file mode 100644 index 0000000..71af7ee --- /dev/null +++ b/tutorials/DASK/dask_operation.ipynb @@ -0,0 +1,1707 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "33d244c8", + "metadata": {}, + "source": [ + "# **DASK Operation**" + ] + }, + { + "cell_type": "markdown", + "id": "6cfb333f", + "metadata": {}, + "source": [ + "This notebook teaches how to use `dask` in scaling up python code and data processing workflows to handle larger-than-memory datasets and leverage multiple cores. With the help of `dask`, you can easily scale a wide array of solutions and configure your project to use most of the available computational power. The best part is that you don’t need to rewrite your entire codebase, you just have to enable parallel computing with minimal modifications based on your use cases.\n", + "\n", + "In this notebook we will examine how the structure of a problem determines whether—and how—it can be parallelized.\n", + "\n", + "### **Learning objectives**\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "\n", + "- identify independent and dependent tasks in a workflow;\n", + "- construct and inspect a real Dask task graph;\n", + "- choose suitable chunks and partitions for arrays and tables;\n", + "- use `dask.delayed` for a fixed workflow with known dependencies;\n", + "- use `dask.futures` for dynamic or interactive processing;\n", + "- distinguish between `compute()` and `persist()`; and\n", + "\n", + "### **Table of Contents**\n", + "\n", + "1. [Dask environment](#1-dask-environment)\n", + "2. [Workflow parallelization](#2-workflow-parallelization)\n", + "3. [Dask array (chunking)](#3-dask-array—chunking)\n", + "4. [Dask dataframe (partitioning)](#4-dask-dataFrame—partitioning)\n", + "5. [Dask delayed (building workflows)](#5-dask-delayed-building-workflows)\n", + "6. [Dask futures (dynamic processing)](#6-dask-futures-dynamic-processing)\n", + "7. [Compute vs Persist (Controlling execution)](#7-compute-vs-persist-controlling-execution)" + ] + }, + { + "cell_type": "markdown", + "id": "4096a584", + "metadata": {}, + "source": [ + "---" + ] + }, + { + "cell_type": "markdown", + "id": "86ea6808", + "metadata": {}, + "source": [ + "### **1. Dask environment**" + ] + }, + { + "cell_type": "markdown", + "id": "ba718923", + "metadata": {}, + "source": [ + "\n", + "We will use a small local Dask cluster so that the exercises are portable and do not unnecessarily reserve GeoLab worker resources. The workflow code developed\n", + "here can later run on a Gateway cluster by changing only the client connection." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "07033a21", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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\n", + " Comm: tcp://127.0.0.1:35145\n", + " \n", + " Total threads: 2\n", + "
\n", + " Dashboard: /user/google-oauth2%7C112154804904828697217/proxy/45529/status\n", + " \n", + " Memory: 1.82 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:38611\n", + "
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Worker: 1

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\n", + " Comm: tcp://127.0.0.1:38577\n", + " \n", + " Total threads: 2\n", + "
\n", + " Dashboard: /user/google-oauth2%7C112154804904828697217/proxy/41295/status\n", + " \n", + " Memory: 1.82 GiB\n", + "
\n", + " Nanny: tcp://127.0.0.1:46743\n", + "
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" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from dask.distributed import Client\n", + "\n", + "client = Client(\n", + " n_workers=2,\n", + " threads_per_worker=2\n", + ")\n", + "\n", + "client" + ] + }, + { + "cell_type": "markdown", + "id": "6844a1a5", + "metadata": {}, + "source": [ + "The client widget reports the available workers, threads, and memory. It also provides a link to the Dask dashboard, where we can observe task execution, worker activity, and memory use.\n", + "\n", + "Starting a client does not automatically make ordinary Python code parallel. The computation must still be expressed using a Dask collection, Delayed task, or Future.\n", + "\n", + "**The Dask dashboard**\n", + "\n", + "The link shown in the client widget above opens the Dask **dashboard**, a live browser-based view of everything the cluster is doing. It is the main tool for understanding *how* a computation runs, not just whether it finished. A few of the most useful panels:\n", + "\n", + "- **Task Stream** — a timeline of individual tasks on each worker thread. Solid, tightly packed bars mean the workers are busy; large gaps or long data-transfer bars usually point to a bottleneck.\n", + "- **Progress** — colored bars showing how many tasks of each type are queued, in flight, and complete for the current computation.\n", + "- **Bytes Stored / Memory per Worker** — how much data each worker is holding, useful for spotting memory pressure before a worker spills to disk.\n", + "- **CPU / Occupancy** — how evenly work is spread across workers, which helps diagnose load imbalance.\n", + "\n", + "Opening the dashboard in a separate tab and watching it while the cells below run is the fastest way to build intuition for what Dask is doing under the hood. For a full description of every panel see the [Dashboard Diagnostics](https://docs.dask.org/en/stable/dashboard.html) guide, and for the broader diagnostics API (progress bars, task-stream capture, performance reports) see [Diagnostics (distributed)](https://docs.dask.org/en/stable/diagnostics-distributed.html)." + ] + }, + { + "cell_type": "markdown", + "id": "047c0036", + "metadata": {}, + "source": [ + "### **2. Workflow parallelization**" + ] + }, + { + "cell_type": "markdown", + "id": "35af3336", + "metadata": {}, + "source": [ + "Before parallelizing a scientific workflow, we first need to understand its **structure**. Which tasks depend on earlier results? Which tasks can run independently? Where must separate processing branches come together? Thinking through these relationships helps us identify where parallel computing can reduce execution time.\n", + "\n", + "Dask represents these relationships using a **task graph**, also known as a Directed Acyclic Graph (DAG). In this graph:\n", + "\n", + "- **Nodes** represent individual computational tasks.\n", + "- **Edges** represent dependencies between tasks.\n", + "- Independent branches reveal tasks that may be executed in parallel.\n", + "\n", + "In this section, we will use Dask's built-in task-graph visualization tool to examine the parallelization potential of a simplified seismic-processing workflow. The example consists of four main stages:\n", + "\n", + "1. Load the station inventory.\n", + "2. Retrieve waveforms from multiple seismic stations.\n", + "3. Correct each waveform independently.\n", + "4. Pick the arrival time and collect the station results.\n", + "\n", + "Loading the station inventory is a shared initial task. Once it is complete, the waveform from each station can be retrieved and processed independently. These station-specific branches can therefore run concurrently before their results are combined in the final step.\n", + "\n", + "To construct this workflow, we will use **Dask Delayed**. Delayed allows ordinary Python functions to be connected as lazy tasks: Dask records the functions and their dependencies without immediately executing them. We will examine Dask Delayed in greater detail later in the notebook. For now, focus on how the task graph reveals the workflow's dependencies and opportunities for parallel execution.\n", + "\n", + "> **Important:** A task graph shows where parallel execution is *possible*. The amount of work that actually runs simultaneously depends on the available workers, task duration, memory, and data dependencies." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "f59b7d92", + "metadata": {}, + "outputs": [], + "source": [ + "import time\n", + "import numpy as np\n", + "from dask import delayed\n", + "\n", + "# --------------------\n", + "# -- Workflow Steps --\n", + "# --------------------\n", + "\n", + "# Define your station names\n", + "stations = [\"STA01\", \"STA02\", \"STA03\", \"STA04\"]\n", + "\n", + "# Define each step of the workflow. You are welcome to add more\n", + "\n", + "# -- 1. Load Inventory with Station Information --\n", + "\n", + "def load_inventory(station_names):\n", + " time.sleep(0.2) # simulate loading time\n", + " return set(station_names)\n", + "\n", + "# -- 2. Collect Waveforms Based on Inventory Information --\n", + "\n", + "def retrieve_waveform(station, inventory):\n", + "\n", + " time.sleep(0.3) # simulate data access\n", + "\n", + " seed = sum(ord(character) for character in station) # go through each station\n", + " rng = np.random.default_rng(seed)\n", + "\n", + " time_axis = np.linspace(0, 10, 1000) # simulate data for that station\n", + " waveform = np.sin(2 * np.pi * time_axis) + 0.1 * rng.normal(size=1000)\n", + "\n", + " return station, waveform\n", + "\n", + "# -- 3. Correct Waveforms --\n", + "\n", + "def correct_waveform(station_and_waveform):\n", + " station, waveform = station_and_waveform # go through each waveform\n", + " corrected = waveform - waveform.mean() # remove mean to center waveform around zero\n", + " return station, corrected\n", + "\n", + "# -- 4. Pick Seismic Arrival from Waveforms --\n", + "\n", + "def pick_arrival(station_and_waveform):\n", + " station, waveform = station_and_waveform\n", + " pick_time = np.argmax(np.abs(waveform)) / 100.0 # simulate picks\n", + " return station, pick_time\n", + "\n", + "# -- 5. Collect all the Picks --\n", + "\n", + "def collect_picks(results):\n", + " return dict(results)" + ] + }, + { + "cell_type": "markdown", + "id": "ef8b77d4", + "metadata": {}, + "source": [ + "The cell above defines the building blocks of a small, synthetic seismic workflow — no real data is downloaded, so the notebook stays fast and portable. Five plain Python functions each represent one processing stage: `load_inventory` returns the set of stations, `retrieve_waveform` generates a noisy sine wave standing in for a real trace, `correct_waveform` removes the mean to center it, `pick_arrival` estimates an arrival time from the largest-amplitude sample, and `collect_picks` gathers the per-station results into a dictionary. The `time.sleep()` calls simulate the I/O and compute latency of real waveform access, so the benefit of parallel execution becomes visible later. At this point the functions are only *defined* — nothing has run yet." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "4336a0e7", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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bcnJypONAo4mPj+/Tp4+FhcWNGzdkZGRIxwH4GTweb+DAgbm5uYGBgVZWVqTjwHfExsYOHDhQQkLi1q1bJiYmpOMAAAAACCdcpwwABHz8+LFfv376+vrXrl1D0VDIdOjQISQk5NWrV0OHDsVVhCCIIiMjbWxsxMXFIyIiUDTkW2ZmZk+ePFFWVmaz2Y8fPyYdBwAAAEA4oW4IAM0tJSXF3t5eSUnp1q1buDxZKFlaWt66dSsiImLs2LEVFRWk4wD8gIcPH/bt29fS0jIsLKxNmzak40BdNDU1Q0ND7ezsnJycrl+/TjoOAAAAgBBC3RAAmlVubm7//v1lZGRCQkIwlEqIde/e/fr160FBQbNmzSKdBaChgoKCXFxcBg4cePPmTQUFBdJxoH7y8vKXL18eN26cq6vr5cuXSccBAAAAEDbia9euJZ0BAERFeXn5kCFDUlJSsHqyKNDX1zc3N1+6dKmMjIytrS3pOAD1CAwMHDFixMiRI0+fPi0pKUk6DjSUmJjYkCFDsrOzFy9e3KZNm06dOpFOBAAAACA8UDcEgGZC07SXl9fdu3dDQkIww15EtG/fXlFR8ffffzc2NrawsCAdB6BWZ8+eHTNmzLRp044cOSIuLk46DvwYFovVv3//wsLCpUuX6ujoYColAAAAQGORIB0AAETF+vXr/fz8rly5gmYQkTJ37twPHz5MnjxZX1+fzWaTjgPwHZcvX/bw8Jg/f/62bdtIZ4GfxGKxtm3bJisrO3XqVBkZGXd3d9KJAAAAAIQBi6Zp0hkAQPgFBASMHj36wIED06ZNI50FmltlZeWIESPCw8OfP3+OhSaA39y5c2fIkCHe3t579+4lnQUawdKlS3fs2HH27Fk3NzfSWQAAAAAEHuqGANDkYmNjbWxsPD098bZcZBUWFtrY2MjKyj5+/FhaWpp0HID/un///sCBA0eNGnXixAkxMSwWJyQWLly4b9++K1euDBw4kHQWAAAAAMGGuiEANK2CgoLu3bsrKSmFhoZKSUmRjgPEJCQkdOvWbfDgwb6+vqSzAFAURUVGRtrb2w8ZMsTPzw8zDYVJVVXV5MmTL1y4cPfuXYxHAAAAAPgVqBsCQBOiadrV1TUsLOzFixc6Ojqk4wBhgYGBw4YNO3z4sJeXF+ksIOp4PJ6NjY2VldX169clJDDuWdgw4xE4HE5ERISRkRHpOAAAAACCCnVDAGhCPj4+q1atun//vp2dHekswBdWrly5c+fO8PDwzp07k84Cois/P9/Ozo6m6bCwMEVFRdJxoEkUFxc7ODhkZGQ8efJEXV2ddBwAAAAAgYS6IQA0lefPn7PZ7M2bNy9atIh0FuAXlZWVjo6Onz9/fv78uZycHOk4IIrKy8sHDBgQFxf35MkTXV1d0nGgCWVmZvbo0UNLSyskJERGRoZ0HAAAAADBg7ohADSJwsLCLl26aGpq3r9/H6sNQE0pKSmWlpajRo06cOAA6Swgiry8vAICAh4/ftyxY0fSWaDJxcbG2tnZDRo0yM/Pj3QWAAAAAMGDN/MA0CTmz5+fkZHh6+uLoiF8Q0dH5+jRo4cOHbp+/TrpLCByjhw5cvLkSX9/fxQNRYSZmdm5c+fOnj27d+9e0lkAAAAABA/6DQGg8V27dm3YsGGXLl0aMWIE6SzApyZOnHjz5k0ul6upqUk6C4iKp0+f9u7de8mSJevWrSOdBZrVxo0b169ff/fu3V69epHOAgAAACBIUDcEgEaWk5Njamrq7Ox88uRJ0lmAfxUUFHTs2NHKyurSpUuks4BIyMjI6NKlS4cOHYKCgsTFxUnHgWZF07Srq2tYWNiLFy90dHRIxwEAAAAQGKgbAkAjmzx58q1bt+Li4pSVlUlnAb52//59R0fHy5cvDx8+nHQWEHJVVVX9+vVLTEx8/vw5vjWJpry8vG7dujFTd1E4BgAAAGggzB0DgMYUGhp68uTJvXv34p051MvBwWH8+PEzZ87Mzc0lnQWE3M6dOx8/fhwQEIBvTSJLUVExICDg6dOnW7duJZ0FAAAAQGCg3xAAGk1xcbGlpWX79u0DAwNJZwHBkJ2dbWpq+ttvvx08eJB0FhBar169srGxWb9+/ZIlS0hnAcJ27969ePHix48f29jYkM4CAAAAIABQNwSARrN8+fIDBw7ExsZiehQ03Llz58aNG8fhcHr06EE6CwihkpKSbt26KSkpPXjwAFenAk3TgwYNevPmzatXr1q2bEk6DgAAAAC/Q90QABpHYmKiqanp1q1b586dSzoLCJh+/fplZ2dHRkaKiWF6BjSy2bNn+/v7R0dH6+rqks4CfCEtLc3S0nLo0KHHjh0jnQUAAACA36FuCACNY8SIEXFxcVwuV1JSknQWEDCxsbGdOnU6duyYh4cH6SwgVMLCwnr37u3n5zd27FjSWYCPXLlyZeTIkXfu3HF0dCSdBQAAAICvoW4IAI0gNDTU3t7+1q1bLi4upLOAQJo+ffrVq1ffvn2roKBAOgsIidLSUisrKz09vVu3bpHOAnxnxIgRL1++fP36tby8POksAAAAAPwLV4QBwK+qrKycP3++i4sLiobw0zZs2FBaWurj40M6CAiP9evXJycnHz58mHQQ4Ef79+/Py8tbu3Yt6SAAAAAAfA11QwD4VWfPnn39+vXOnTtJBwEBpqamtmrVqt27d6elpZHOAsIgOjp6+/btmzdvxlhD+C5NTU0fH5/du3e/ePGCdBYAAAAA/oXrlAHgl1RWVpqZmbHZ7BMnTpDOAoKtpKTE2Nh4+PDhf/75J+ksINhomu7Zs2dVVVVYWBgW24Ha0DTdp0+fkpKSJ0+esFgs0nEAAAAA+BF+mQaAX3Lq1KkPHz6sXLmSdBAQeDIyMsuXLz98+DCPxyOdBQTb+fPnIyIi9uzZg6Ih1IHFYh04cODly5d+fn6kswAAAADwKfQbAsDPKy8vb9euXb9+/Q4dOkQ6CwgDvKLg1xUXF3fo0KFv377Hjx8nnQUEwLRp0/766y8sygQAAADwXfgcHgB+3rFjx1JTU1esWEE6CAgJSUnJFStWnDhxIjExkXQWEFTbtm378uXLxo0bSQcBwbB58+by8nIsygQAAADwXeg3BICfVFlZaWJi0r9//wMHDpDOAsKjoqLCxMRkwIAB+/btI50FBE9qaqqJicnKlSuXLl1KOgsIjN27dy9fvvzvv//W09MjnQUAAACAv6DfEAB+0pUrV3g83oIFC0gHAaEiISExd+7ckydPZmVlkc4Cgmfz5s3Kysrz5s0jHQQEycyZM7W0tNCjCgAAAPBvqBsCwE/atWvXsGHDjIyMSAcBYePl5SUrK4sRh/CjPn78eOzYsZUrV8rIyJDOAoJESkpq1apVp0+ffv/+PeksAAAAAPwF1ykDwM/gcDh2dnYcDofNZpPOAkJo+fLlx48fT0pKQgEIGs7b2zskJOTt27dSUlKks4CAqaysNDMz6969++nTp0lnAQAAAOAj6DcEgJ+xe/duGxsbFA2hicyePTsvL8/f3590EBAYPB7P19d3zZo1KBrCTxAXF1+1apW/v398fDzpLAAAAAB8BP2GAPDDUlNT9fT0fH19x4wZQzoLCK3x48e/efPm2bNnpIOAYJgyZcqDBw/i4+MlJCRIZwGBVFlZaWlp2bVrV7QcAgAAAFRDvyEA/LCTJ08qKioOHz6cdBAQZl5eXpGRka9evSIdBARARkaGn5/fokWLUDSEnyYuLr5o0aJz584lJyeTzgIAAADAL1A3BIAfQ9P0yZMnPTw8MHgOmlTv3r07dOhw4sQJ0kFAAOzbt69ly5YTJkwgHQQEm7u7u4aGxr59+0gHAQAAAOAXqBsCwI8JCQl5//795MmTSQcB4Tdx4kQ/P7+ioiLSQYCvFRUVHTx4cMaMGbKysqSzgGCTlJScMWPGoUOH8vLySGcBAAAA4AuoGwLAjzl27JidnZ2pqSnpICD8PDw8iouLL1++TDoI8DVfX9+vX7/OmDGDdBAQBtOmTauqqkKnMwAAAAADdUMA+AEFBQWBgYGenp6kg4BIaNWqlYuLy9mzZ0kHAb62f/9+d3f3Vq1akQ4CwkBZWdnT0/PAgQNYORAAAACAwnrKAPBDzpw5M2nSpPT0dBUVFdJZQCScO3duwoQJqamp6urqpLMAP4qIiGCz2ZGRkV27diWdBYRETEyMpaXl/fv37e3tSWcBaEyFhYXZ2dnZ2dnFxcXMDJCysjIpKSmKouTl5WVkZFRVVVVVVeXl5UknBQAAPoK6IQD8gCFDhlRVVd24cYN0EBAVhYWFGhoau3fv9vb2Jp0F+NGkSZNevHgRHR1NOggIFRsbG0NDQzQ7g4Cqqqp6//59dHR0XFxcYmIij8fj8Xjp6eklJSUNebiMjIy2tra+vr6+vr6BgYGpqWnHjh0NDQ1ZLFZTJwcAAD6EuiEANFRubq6mpuaRI0ewaCk0J1dX15ycnLt375IOAnwnLy9PR0dn27ZtGG4Ijev48eMzZsz49OkTOp1BUHz+/Dk8PJzD4YSHh3O53MLCQnFxcUNDQwMDA6b8p6Ojo/oPOTk5ZiEpcXHxyspKiqKKi4uruxGzs7M/ffrEVBs/fPiQmJhYVVXVokWLjh07stlsOzu7Hj164L8GAIDoQN0QABrq9OnTU6dOTU9PV1JSIp0FRMjFixfHjBmTmpqKAXbwjYMHDy5atCg1NVVRUZF0FhAqX79+1dHRWbdu3bx580hnAahVWVlZWFhYUFBQcHDw69evxcTEzM3NbW1traysOnbsaGZmJicn9+tHKSwsjI2NjY6OfvHiBYfDiYuLo2na0tLS2dnZ2dnZ1tZWUlLy148CAAB8C3VDAGioESNGlJSU3Lx5k3QQEC1FRUWqqqoHDhyYOHEi6SzAX+zs7AwMDPz8/EgHASHk5eUVHR0dGRlJOgjAt8rKykJCQi5cuHD9+vW8vLz27du7uLj069ePzWYrKCg09dFzc3M5HM6dO3eCgoISEhKUlZWHDRvm5ubWt29fFBABAIQS6oYA0CAVFRVqamqbNm2aOXMm6Swgcvr376+kpHThwgXSQYCPJCcn6+npBQYGDhw4kHQWEEIhISH9+vVLSEgwMjIinQXgv6Kjo48ePXr27Nnc3NwePXq4ubkNHTpUX1+fVJ73799fu3YtICDg2bNnKioq48aN8/b2Njc3J5UHAACaghjpAAAgGDgcTl5enrOzM+kgIIpcXFxCQkIqKipIBwE+EhAQoKio6OTkRDoICCcHB4dWrVpdvHiRdBAAqrS09NSpU926devUqdPdu3eXL1+elJTE4XDmzp1LsGhIUVTbtm0XLFjw5MmTDx8+LFy48NatWxYWFmw2+8yZM+Xl5QSDAQBAI0LdEAAaJCgoyMTEpG3btqSDgChydnbOycl59uwZ6SDARwICAoYPHy4lJUU6CAgncXHx3377DW3OQNaXL182b95sYGAwdepUY2Pj0NDQ+Pj4RYsW6erqko72f/T19ZctW/b27dt79+61adNm0qRJhoaG27Zty83NJR0NAAB+FeqGANAgQUFBLi4upFOAiGrfvr2hoWFwcDDpIMAveDxeZGSkq6sr6SAgzNzc3KKjo9+8eUM6CIiigoICHx8fQ0NDHx8fV1fXd+/e+fv79+7dm8VikY5WKxaL5eDgcP78+Y8fP06ePHnr1q26urpLly5F9RAAQKChbggA9cvIyIiJienXrx/pICC6+vXrFxISQjoF8IvAwEAFBQVHR0fSQUCY9erVS11d/fr166SDgGgpKiratGlTmzZttm3btnTp0pSUlD179vBbg2HdNDU1165dy+Pxfv/998OHDxsZGW3btq2kpIR0LgAA+BmoGwJA/TgcDovFsrW1JR0ERFfPnj1fvHhRVFREOgjwhaCgIEdHR6zdCU1KXFzcyckJnc7QbGiaPnfuXPv27bdt2zZv3rzExMSlS5e2aNGCdK6fpKCgsHr16g8fPkyfPn39+vWmpqaXL18mHQoAAH4Y6oYAUD8Oh2Nubq6oqHGC2QkAACAASURBVEg6CIguW1vb8vLy58+fkw4C5JWUlDx8+BCTE6AZuLi4hIWFFRQUkA4Cwi82NrZnz57u7u5OTk5v3rxZs2aNgoIC6VCNQFlZecOGDW/evLGzs3N1dbW3t8e1/wAAggV1QwCoX3h4OJoNgSw9PT1dXV0Oh0M6CJAXGhpaVFSEyQnQDJydnSsqKh48eEA6CAizsrKytWvXWllZlZeXP3v27Pjx45qamqRDNTIdHR1fX9+IiIi8vLxOnTpt2rQJCy4DAAgK1A0BoB6lpaUvX75ks9mkg4CoY7PZqBsCRVHBwcGWlpaCNe0LBJSampqVlRUuVYamExUVZWVltWPHDh8fn/Dw8C5dupBO1IS6d+/+7NmzdevWbdq0ydra+vXr16QTAQBA/VA3BIB6vHjxorS0FHVDIM7W1jY8PJymadJBgLAHDx44OTmRTgGion///vfv3yedAoRQVVXVjh07bGxs1NTUXr9+PW/ePHFxcdKhmpyEhMTixYu5XG6LFi2sra3//PNP/FgHAOBzEqQDAAC/e/nypbKysqGhIekgIOqsrKxycnI+fvyop6dHOsv/pKWltW3blnSKpnL//n0bGxvSKf5Pfn5+bGzs+vXrSQcBUWFra7t58+aMjIxWrVqRzgLCIzMzc+zYsQ8fPly/fv3ixYvFxESrmcPIyOjhw4ebNm1auHDh7du3/fz8VFRUSIcCAIDvQ90QAOoRExNjaWlJOgUAZWlpyWKxuFwuX9UNq6qqiouLV6xYYWRkRDpLY8rNzZ0/f35lZSXpIN8KDw+vqqrq0aMH6SAgKthstpiYWERExNChQ0lnASERGRk5cuRIcXHx8PDwrl27ko5Dhri4+OrVq52cnEaNGmVtbX358uVOnTqRDgUAAN+BuiEA1IPL5VpbW5NOAUC1bNlST0+Py+UOHjyYdJZvubi4CNnaQSkpKfPnzyed4js4HI6xsTE6v6DZKCoqmpqacjgc1A2hUZw6dWratGl9+vTx9/dXVVUlHYewHj16vHjxYtSoUWw2+9ixY2PHjiWdCAAAviVaLfEA8KNomo6NjbWwsCAdBICiKMrS0jImJoZ0CiCJw+Fg3Co0M1tbWyzKBL+OpumVK1dOmjRp/vz5N2/eRNGQoa6ufufOnenTp7u7u2/cuJF0HAAA+BbqhgBQl/fv3xcUFOA6ZeATFhYWXC6XdAoghqbp58+f4yJlaGZMS1R5eTnpICDAysrK3N3dt23bduzYsS1btojCEigNJyEhsXPnzgMHDqxbt27SpEn4vwYAwFdQNwSAurx9+5aiqA4dOpAOAkBRFGVqavru3buKigrSQYAM5pMMzMCCZtaxY8fS0lLmByLATyguLh46dOiNGzdu3bo1adIk0nH41LRp065du3bx4sWRI0eWlpaSjgMAAP+FuiEA1OXDhw+qqqoKCgqkgwBQFEUZGBiUl5enpKSQDgJkcLlcMTExU1NT0kFAtHTo0EFKSgrNzvBzCgsLhwwZ8vTp0zt37jg6OpKOw9cGDBjw4MEDDofj7OxcUFBAOg4AAFAU6oYAUDcej2dgYEA6BcB/Ma9GHo9HOgiQweVy27Zt26JFC9JBQLRISUmZmJhguCr8hK9fv/br1+/169cPHz7s3r076TgCoGvXriEhIbGxsYMGDSoqKiIdBwAAUDcEgDrxeDx9fX3SKQD+S0NDQ05OLjExkXQQICMmJgbjVoEIDFeFn1BcXDxkyJD3798/ePAAS8w1XOfOne/fvx8XFzd8+HBcsAwAQBzqhgBQF/QbAl9hsVht2rRBv6HIev36tbm5OekUIIosLCxev35NOgUIkrKyshEjRkRHR9+5c6d9+/ak4wgYc3Pz27dvP336dPTo0RhqDABAFuqGAFCXpKQkPT090ikA/sfAwAD9hqKpqqqKx+MZGxuTDgKiyMjIKDk5Ga1P0EA0TXt7e4eFhQUHB6NL+udYWVndunUrJCRk5syZpLMAAIg01A0BoFYVFRXZ2dmampqkgwD8j6amZkZGBukUQEBKSkpZWRkmJwARBgYGVVVVycnJpIOAYFi3bp2/v7+/v7+1tTXpLAKMzWZfuHDh+PHjPj4+pLMAAIgu1A0BoFZfvnyhaVpNTY10EID/UVVVzc7OJp0CCGCuT0fdEIhgXngYkgAN4e/vv379+gMHDgwePJh0FoE3cODAXbt2LVu27NKlS6SzAACIKAnSAQCAf2VlZVEUpaqqSjoIwP+gbiiyEhMTpaWltbS0SAcBUaSmptayZUsMSYB6RUVFeXt7L1iwYMqUKaSzCIk5c+a8fft24sSJHTp0MDMzIx0HAEDkoN8QAGrFVGfQbwh8RU1Njalog6jh8Xh6enpiYvjVBcjQ19dHvyHULScnZ8SIETY2Nlu3biWdRajs3r27c+fOw4cPz8vLI50FAEDk4JdvAKgVUzdUUVEhHQTgf1RVVfPz88vKykgHgeaWlpamra1NOgWIrtatW6ekpJBOAfyLpunx48eXl5dfuHBBQgIXdTUmSUnJ8+fPFxQUTJ48mXQWAACRg7ohANQqLy9PXl5eSkqKdJBahYeHb9y48fPnz7VtYG1tbWho2JyR+EpGRoacnByLxTI3NyedpdEoKytTFIWOAxGUlZWlrq5OOgWILjU1NQxJgDocOHDg9u3b58+fx3eqpqCtre3v73/16tXjx4+TzgIAIFpQNwSAWpWUlEhLS5NOUZfHjx+vWrUqLS2ttg1mzZq1ePHi5ozEVzgcTnFx8ZYtW16/fk06S6NhXpPoNxRB2dnZGLcKBGG4KtQhPj5+8eLFK1asYLPZpLMILQcHh0WLFs2dO/fNmzekswAAiBC00ANArcrKyvi8blgvDw8P0hFIysnJoSjKysrq33dVVVUJ6Jw45jVZWlradIc4e/aslZVV+/btm+4Q8BOys7MxbhUI4re6YX5+/uPHj0mnaCp9+vSRl5cnnaKhKioqxo8f37Fjx5UrV5LOIuQ2bNhw7949T09PDocjoL/GAAAIHhoAoBbbt2/X09NrziPOnj170qRJycnJM2bMUFNTY27MycmZPn26mZmZhobG8OHDb968ydzu7e2tr69PUVTnzp1nz5793YfPnj3b09Ozev+17WrWrFl2dnapqak1w3h7ezs5OZWWltbxwLotWLCgZ8+eX79+Zb4MCQmxs7NbsWJF9QY+Pj59+vQpKSmhafrBgwczZswwNjZu3br16NGjDx48WFFR8SvZlixZwlyebG1t7eHhwdwYFxfn4uKipqYmIyPTtWvXS5cu1fHke3l5TZgwISEhYfLkya1bt7a3t/fz86NpeufOnVZWVurq6s7Ozm/fvm3IU9GIYmJiKIqKi4trukPY2toyr6s///wzMzOz7o0/ffpEUVRYWFjT5SGiGc7rwYMHzIu8gbS1tXfv3t10eQDqdvDgQRUVFdIp/ufVq1cE30E0tTdv3pB+gn+Aj4+PtLR0k/5ggmpcLldKSmrPnj2kgwAAiAp8SgMAtSorK2vm4YZcLpfD4QwcOPDAgQNt2rShKOrTp0+dO3f29fXt1avXxIkTeTze4MGD//jjD4qiTExMtLS0mL8YGRl99+EREREPHz5kdl7HroyMjMLCwq5cuVKdJDU19fjx4yoqKlJSUnU8sG7q6uqPHz+OiIhgvrx+/XpYWNjJkyerNzh16lR5ebm0tPSDBw8cHR3Pnz/fv39/Ly+v5OTk6dOnL1u27FeyaWtrt2rViqIoXV1dPT09iqLCwsKsra3j4+OnTp26cuVKcXHxkSNHbtiwobYnPyoq6s6dO717946IiLC3t+dwOBMmTBgwYMCSJUtat25tZ2d3//59R0fHqqqqn/z3/inN0G/IXAQdFRU1f/58TU3NgQMHXrp0qUmPKJqcnZ21tLQWLlz48uXLhmyfm5vLTLcUZfUOdeUfwjdfVUVFJTc3l6Zp0kH+T1RU1FfhUv1DU1AkJiauX79+9erVHTp0IJ1FJFhYWCxZsmT58uUfPnwgnQUAQDSQLlwCAP9as2aNmZlZcx6xd+/eFEX1798/Pj6euWXcuHEURT158oT5srS01MHBQUpKKjs7m6bprVu3UhT16tWr2h7etWtXAwODeneVkZEhISHRp0+f6iS7d++mKCo4OLjeDHWIjo6mKGrlypXMl5aWlsxVlkwbRWpqKkVRmzZtomna29tbWlo6JyeH2bK4uFhLS6t9+/Y0Tf9KNmZ2+OPHj2marqqqsrKyUlFRSUlJYTYuKytjNmbyfPfZoyhq48aNzJe3bt2iKEpWVra6DYS5DLyZu0J4PB5FUU+fPm26Q3Tu3LnmD0pxcXEWiyUnJ+fu7h4SElJVVVVzY/Qb/jRmvVFJSUmKooyMjDZu3JiYmFjH9mJiYhcuXGi6PALhm296/Iz5tGPLli2kgzSaa9euURTFNHrzA6bfULD68hpC4M6rX79+lpaWZWVlpIOIkJKSkvbt2w8ZMoR0EAAAkYB+QwDgOxs2bGBGy3358uXs2bPW1tbdu3dn7pKSkvL29i4rK6vZf1fbw2uqe1fq6uouLi6PHz/OyMhg7j1//ryOjo6Tk9PPZWBYWlrq6Og8evSICRATE7NkyRKKokJDQymKun//PkVRAwcOpChqwYIFkZGRSkpKzAPLysqUlJTy8/MpimqsbC9fvnz58qWDg4O2tjZzi6SkpKenZ1lZWUhISG3Pnri4+O+//878vWPHjhRFOTg4mJiYMLf06dOHoqi4uLi6n4fGxWKxKIrKysrKqaFxex4rKipqfllZWUnTdFFR0YULF5ycnLS1tZcuXZqQkNCIRxRNNE1TFFVeXk5R1Lt379atW2dgYNCpU6c9e/ZUv9qrVVRUVFVVEVnenfmFqbZ7m7Tftu5D87m656s2e5xG0AzNziBwAgMD79y5s3fvXuYjEGge0tLS+/fvv379+u3bt0lnAQAQfqgbAkCtJCUlm3/VWnV1dWtra+bvTLvB169fR9Vw+vRpiqLev39f78NrqndXHh4elZWVV69epSiKx+M9ffp0woQJYmJiP5GhJhcXl6dPn5aWlj569Iim6QkTJpiYmDB1w3v37uno6DDFuPbt22tra+/cuXPkyJFdu3bV1dWNj4+v3kmjZGPqXExTYTXmLf3bt29re/a0tbWrKzUyMjLMLdX3iouLU82+tDHzpn3gwIEqNTAtgQxxcfGad2lqaratwdzcvGsN9vb2TjW4ubm5ubklJSV999BMhSs9PX3nzp3t2rXr3r374cOH8/LymvP0hck3xSPm6eVyuQsXLtTS0nJwcPD19S0sLGTuZf7dm7luGB0d7ejoqKSkJCcn171796CgoOq74uPjBwwYoK6uLi8vb21tffny5eq75syZM3ny5E+fPs2cOVNdXf27t1AUlZubO2PGDHNzc01Nzd9++43p56370FOmTDl06BBFUZMmTZozZ07d4RcuXNirV6/qJ/Du3bs9e/asuWjDtm3b7O3tmSc2NDR05syZJiYmurq6Y8aMOXToUGVlJUVRs2fP7tmz5zdr1k+ZMqVfv37Mf/zazmLp0qVMZ/TKlSs9PT1/4knz9vb28PB49+6dl5eXrq6ug4PDmTNnKIratWtXly5dWrVq5eLi0szle+blh7ohVCsrK1u0aNGoUaN69epFOovIcXBwGDJkyIIFC775qA8AABod1lMGgFpJS0s3f92w5grOzMqV0tLSNT/GV1VVHTdunJmZWb0Pr6neXQ0aNEhZWfnSpUtTp069cOECRVHMe92fyFDTgAEDjh079vTp04cPH5qZmbVq1apv375//fUXRVH37t1zcXFhNtu+ffvq1aulpaV79+7t6Oi4YsWKnTt3JiYmMvc2SrasrCyKopiVZKoxb4CZ8t93n71/L2dJfPlC5jV58uTJ1q1bM7fQNJ2bm1u9QXl5+devX6u/LC4uLikpqf6yoKCg5nsMpiWKUVFRUVBQQP3TB1cHpqQSGRlJ03RmZuavnA6fmzdvnpKSkpKSEtPm+W9ycnK1/aeTkJBo2bJlbXtWUlL67vNM0zTz9D58+DA0NHT69Omurq4TJkxgKuzNWTcMDQ11cXFRVVWdPHlyXl7e5cuXhwwZ8vDhQzabHRYW5uzsrK6uPnXqVFlZ2cDAwJEjR65fv37VqlUURXG53PT09IEDB3K5XKY0/+9bPn361LNnz8zMzAkTJigqKt6+fXvw4ME7d+6cN29eHYc2MTF5/fo1j8erHupah+r5qo6OjtQ/81U/fPiwceNGZoNTp06pqKgw81WdnJwUFRXHjh2rpqYWEhIyffr0Dx8+bNu2zcjIaN++fVeuXJk5cybzKGa+qqurKzNftbaz+O581R960qKioj59+nT37l0lJSV7e/sLFy6EhoaePXs2JCRkwIABenp6N2/edHR0TExMbLZvSug3hG8cOnQoOTn5zp07pIOIqB07dpibm588edLb25t0FgAAoda8l0UDgCDZs2ePlpZWcx6xd+/erVu3rv4yNjaWoihXV9ea21RUVOTk5DATpv4937Dmw+ka8w3r3RVN09OmTZOQkMjKyurUqRObzW5ghrrl5+dLSkpu2LChc+fOs2bNomn60qVLFEXdvHmToqirV6/SNJ2RkSEmJqahoZGfn1/9wC5dumhra1d/+XPZas43vHHjBkVRixcvrrnxvn37KIrau3dvbc8eM2ORwZQpp06dWn2Lr68vRVHNPHLuxYsXFEW9e/eu6Q7Rtm3b7/7EZLFYTInWxMRkzZo1zFrSwj3fcMiQIZ6enq61c6xdjx49utTC0tLS0NCw4b+rWFlZ7d+/n6Kohw8fNs/pV1ZWduzYUVFRMSEhgbklPj6exWKNGzfuJ0aF/tDk1joOTf/IfEPMV210kZGRFEV9+PCh2Y5YN4GbA9hAgnJeRUVFOjo6CxYsIB1EpE2fPr1NmzYlJSWkgwAACDPUDQGgVocOHVJVVW3OI35TuiotLVVXV1dQUKg5bpxZ/5d5L9rwumG9u6JpmlnDkRnnd/To0QZmqJeDg0PXrl3FxMQuX75M03R2draYmFiXLl2kpKQKCgrof96LTp8+vfohHz9+FBcXr1k3/LlsNd+3p6SkSElJde7cuWa2kSNHiouLM/UvQakbMk9FcnJy0x2CaY+qu1xYTbjrhk13XnVfWcb0FRoZGa1Zs+bvv/+maZq5VLbZ6obPnz+nKMrDw6PmjXv37t2zZw9z18iRI2vexfxf2LdvH/1PCezZs2fV935zS3Z2NovFsra2rrmHc+fOMf+76zg0/YProujo6PTq1av6iNu3b6co6vDhwzRNM9f8RkVF0TQdHx/P5XKrH5WXl9ehQ4fq7z+DBw8WFxf//Pkz82X37t11dHQqKyvrPgv6/7///MST1rVrV3Fx8eqPZ1JSUiiKGjhwYPUGzNr0zKcvzYM5iyb90OKHCEp97UcJynlt27ZNXl4+PT2ddBCRlpqaKisry3wbAQCAJoLrlAGgVtLS0mQvyJKSktqyZYuXl5e7u/uSJUsUFBSuXbu2ceNGJycnW1tbiqKY+s6RI0cmTpz43bGGDd8VRVE2NjYmJia7du2Sk5Nzc3Nr+APrNmDAgEWLFrFYLOaNsYqKSufOnV+8eNG3b98WLVpQFNWuXbsWLVpcuHDBxcWlffv2HA5n1apVCgoKX79+ffPmTbt27Rolm7a29qxZs3bt2jVjxowZM2ZISkqePXv20qVLHh4exsbGDf43IY95TdZ2bWyjYK6TZbFYEhIS5eXlFhYW48aNc3V1NTAwaLqDiprvrowhJSVVVlamra09cuRIV1dXOzu7mndR/8xAbAbv3r2jKMrCwqLmjbNmzaIo6vz589SPjwqtbXJr9QbMOkjv379nLu7+7qF/lIuLi5+fX835qkePHg0NDZ0yZco381Wzs7N37twZERHB4/ESEhLy8/OrJ5l6eHgEBgZevXp16tSpzHzVZcuWfTNf9d9n8U0S4ZivynzzYZKAiCsqKtq+ffvs2bM1NDRIZxFpWlpaU6ZM2bx5s5eXV5P+YgAAIMpQNwSAWikpKX39+rWsrIzIGqaMyZMnFxUVLV68OCAggKIoCQkJLy+vTZs2MdPWnJycbGxsDh48GB8f/+DBg1/ZFWP8+PGrVq367bffFBQUfuiBdXBxcVm0aJGlpaWqqipzS9++fV+8eMGspExRVMuWLU+cODFp0qQhQ4ZQFKWiorJ79255eXkPDw9zc/PqQsmvZ9uyZUtlZeWePXsOHjzI3DJt2rQ9e/Y05Cz4BzORUFFRsakPZG5uzpQLf+iKWmigmnVDSUnJ8vJyTU3N8ePHjxo1qkuXLv/evplHyzFjK3V0dP5918+NCm345NY6Dv2jMF+1cTE1StQmgKKoU6dOFRQUMANJgazFixcfPHjQ399/0qRJpLMAAAgn1A0BoFZMnevLly+amprNc0RmoeFvzJ4929PT89WrV1+/frWwsNDV1a2ZMCIiIjU1lenQ+ffDmUuAG7IrxsqVK2uuN9rwB9bB1NSU/v/1H3x8fHx8fGre4urq6uDg8OrVKy0tLVNTU6bq16dPn5qrdvxEtkmTJtX8NVpKSuqPP/5Yvnx5VFSUtLS0paWlsrJy9b31PnsqKirfnMj48ePHjx9fz/k3tqysLAUFhSatZa9cudLR0bG2KYfQKKrrhurq6mPHjh01apSNjU0dtXjmX7zZmsuYCtfTp09Hjx5dfaOvr29VVRXTdvr48eNBgwZV38VcPt/AEjOzmbGxMXOxMKOysrKgoEBOTo5ZY+G7h65emLiBHB0dJSUlHz169PDhQ3t7e4qi+vbte/DgwVu3bn38+JH56CIzM3Pp0qXq6uoJCQnV69hs2rSpeifS0tKjRo06duxYdnb2+fPn2Wy2iYlJvWfxTZJff9L4QTM0O4NAqKqq2rt3r6enJ5oN+YG2tvaYMWO2b9/u6elJfOk2AAChhLohANSKqRtmZ2c3W92wNi1btuzVq1dt99a8cu0Xd/WjD5wxY0YdDxk/fnyPHj0auH9VVVVm2dOat1S3KP5Ettq0atWqX79+DdyYD2VnZzfwaflpU6dObdL9A0VRLBZr2rRpo0eP7tmzZ0Pe6UlKSoqJiTVb3dDa2lpWVvb+/fvVt8TFxXl6enp4eGzatElKSiokJKRm9T80NFRcXLx///4N2bmRkZG6uvrt27fLy8urm/W2bNmyatWqx48f13HoH60btmzZsmfPnteuXYuOjmY+dbC3txcTE1u9erWUlBTzDScpKamqquq3336rLhomJydHRUXVLIh4eHgcOnTIx8cnKirq6NGjDTmLmteYUxTVuXPnX3zS+AHz8iPYgA98IjAw8O3bt0zrLvCDhQsXduzY8fbt29Vt1AAA0IjwmQwA1IqpzjDXl8F32ddJS0uLdEAhlJ2dzSwLCwJNRkbm4MGDvXv3bnh7iLS0dElJSZOmqqahoTFv3jwulztt2rTnz5/7+vqOGTNGQkJi2rRpzKjQV69ezZgx4/Xr12/evFmzZs2lS5fc3d0bOCqUmUyan5/v7u7+8uXLd+/e7dy5s3oyaR2HpmoMdf2mHbg2AwYMeP78Of3PwiPV81V79uz5zXzVwMDAhISEU6dOsdns6vmqzE7qmK9a21l8E+PXnzR+UFJSIiYmhrohHDp0qH///sz0YeAHFhYWDg4Ohw4dIh0EAEA4od8QAGqlqqrKYrGYIVbwXa6urqQjiJysrKym7jcE/qSsrPzly5dmO9yGDRtomt6+ffvhw4cpitLS0vL39+/evTvVGKNC655MWsehf2ioK4X5qo0qOztbSUmpgZNtQVh9/PgxJCTk0qVLpIPA//Hy8ho/fnxqauoPXYMCAAANwfpmWBUAQE2qqqobN26cPn066SAA/zVo0CAVFRVfX1/SQf4rJSWldevWYWFhDVxfW1Dw4XlZWloOHTp0w4YNzXnQwsJCLperoKBgbGz8TaNZRkbGd0eFNlxBQUEdU1PrODQz1LX6yuJfl52d/c181ezs7JycHCMjo188i2/8+pNG0KZNm06fPl29AHRT2LVrl5iYmJeXF9MNWreoqKjOnTu/efOGmTgpNPj8vFatWnXs2LGPHz/WXBEIiCsrK2vduvW8efOWL19OOgsAgLBBvyEA1KVNmzZJSUmkUwD8T2JiopWVFekUQICamlrztz/Ly8vXNqX010eF1j2ZtI5DMw01mK/azJphSMLz58/PnTu3evXqmTNnzpkzB8Mu+A1N035+fh4eHiga8hspKamxY8eePn0adUMAgEaHuiEA1MXAwCAxMZF0CoD/SUpKYta6BVGjqqqKcas1MUsk1wYlp0aXlZX1+fPnbt26aWhotGrVSltbu1WrVpqampqamurq6tra2jUv4v45ycnJFEUVFBTs2LFjx44d7u7uv//+u6mpaWPEh0bw5MmTpKSkMWPGkA4C3zF69Og9e/ZERUV16tSJdBYAAKGCuiEA1EVfX5/D4ZBOAfBfGRkZhYWFqBuKJlVV1YSEBNIp+AjmqzazL1++6OrqdunSJTMzMzk5OTIyMiMjIyMjo3rmj4yMjIaGhra2trq6OlNPrC4vamhoaGlpycvL132I1NRU5i8VFRUURfn7+58+fbpPnz7z588fPHhwk54dNERAQICJiUnHjh1JB4Hv6N69u76+fkBAAOqGAACNC3VDAKiLvr7+mTNnSKcA+C+m+9XAwIB0ECBAS0srNDSUdAoQXSkpKf3799+6des3t+fk5KSmpubk5KSlpaWmpjJ/pqamvnjxIjU1NSMjo7KyktlSRkZGWVlZW1tbS0vr339p3bp1ZmZmzT0z69I8fvz4wYMH5ubmv//++9ixYyUk8Ns7MVeuXJkwYQLpFPB9LBbL1dX14sWLmzdvJp0FAECo4DcPAKiLgYFBZmbm169fGzKjHaCp8Xg8CQmJ1q1bkw4CBOjp6SUlJdE0jQVtgYjExMTvfmihrKxcxxove4SfjAAAIABJREFU5eXlGRkZ6enp6enpGRkZaWlpnz9/zsjISEpKev78eVpaWm5ubt3HZXoP4+LiPD09V6xYsWjRIi8vr3pbF6HRxcTEfPz4kVl5HPjT4MGDt2/fnpCQYGxsTDoLAIDwQN0QAOrSrl07iqLi4+Otra1JZwGgYmNj27Zti4H0osnAwKCkpCQ9PR2T+6D55eTk5OXl/USzs6SkpI6Ojo6OTm0blJaWZmRkpKamxsXFTZo0qbbNqqqqKIpKSUmZN2/emjVr5syZ06dPnx8NA78iKChITU2tS5cupINArXr06KGkpBQcHIy6IQBAIxIjHQAA+JqRkZG8vDyXyyUdBICiKComJsbS0pJ0CiCDmWvJ4/EI5wCRxAxJaIrhqtLS0rq6ut27d7ewsKhjMxaLJSkpSdO0lJSUpaWlhIREWlpao4eBOgQHB/fv319MDO+e+JeEhISjo2NQUBDpIAAAQgU/+QCgLmJiYmZmZjExMaSDAFAURXG53LrfWoMQa926taSkJOqGQERiYiKLxWrTpk3THSI9Pf2bW5haIUVR4uLilpaWCxYsCAkJycvLe/To0erVq83MzJouDHyjtLQ0IiLCycmJdBCoh5OT0+PHj5mr+wEAoFHgOmUAqIelpSX6DYEfFBYW8ng89BuKLHFx8TZt2rx79450EBBF79+/19HRkZGRabpDZGRkMLM7JSQkysvLpaSkunXr5uTk1KdPn+7du0tLSzfdoaFez58/Lykp6dmzJ+kgUA9bW9uvX79GR0fjinIAgMaCuiEA1MPCwuLKlSukUwBQMTExVVVV6DcUZRYWFmh/BiKaodk5PT1dUlKye/fuffv2tbe3R62Qr4SHh2toaBgaGpIOAvUwNTVVUVHhcDioGwIANBZcpwwA9ejUqdOXL18+fvxIOgiIulevXikoKPzEugQgNND+DKQ0w3BVT0/P/Pz8R48erVmzplevXigaNqmsrKwf2j4iIoLNZjdRGGhELBarR48eERERpIMAAAgP1A0BoB7W1tZSUlLh4eGkg4CoCwsLY7PZzHV8IJosLCzevXtXVFREOgiIlvLy8r///rup+w21tbVRK2w2I0eO7N+//6NHjxq4/atXr9C/JiisrKyioqJIpwAAEB6oGwJAPWRlZTt16sThcEgHAVHH4XBsbW1JpwCSLC0tKysr4+LiSAcB0fL333+XlZVhuGpzWr169bp1644fP37z5k0ul5uZmdm4++fxeCEhIb179+7WrVtgYCBN03VsnJ+fn5SUhBeAoLCwsEhISCguLiYdBABASGC+IQDUz9bWNjQ0lHQKEGkpKSlJSUmoG4o4IyMjeXn56Ojorl27ks4CIiQmJkZSUrJdu3akg4iQxMTE6Ojo5OTkwsJC5hZpaWktLS0dHR1tbW1tbe3WrVtramrq6uoyf8rJyf3Q/j9//szUCl+8eDFkyJB27dotX7587NixEhLfeXPE5XJpmkbdUFBYWFhUVlbGx8dbWVmRzgIAIAxQNwSA+rHZ7D///DM/P19BQYF0FhBRYWFhEhIS1tbWpIN8X9++fcXEhKqFv+7uG1LExMS6dOkSERExefJk0llAhISHh1tZWUlJSZEOIkL8/PxMTEwoiiouLk5LS0tNTa35Z2xsbGBgYHJycnl5ObO9jIyMtra2lpZW9Z+GhobMX3R1dSUlJWvuPDc3t6SkhPl7VVUVRVEJCQmenp7Lli1bvHixt7f3N1XIv//+u0WLFm3atGmOM4dfZmxsLCUlhbohAEBjQd0QAOpna2tbWVn59OlTJycn0llARIWFhXXu3LlFixakg3xLWVn55MmTpFM0FWNjY9IRvmVra3v16lXSKUC0cDgcBwcH0ilElKysrKGh4XcXMqZp+vPnz2lpaSkpKSkpKWlpaZ8+fUpLS3vw4EF6enr1pc1iYmIaGhpMl6KOjo6Wlpa4uPg3u2Kqh2lpaQsXLly7du3cuXPnzp2rrKzM3Mvj8QwMDDBdV1CIi4vr6uomJiaSDgIAICRQNwSA+mlpaZmamt6+fRt1QyDl9u3bI0eOJJ3iO+Tk5Dw9PUmnECG2trZbt27NzMxUV1cnnQVEQn5+fkxMzKpVq0gHgW+xWCxNTU1NTc3OnTv/+96ysrKsrKxvehXfvXv36NGjpKSk7+6QpunKysrc3NxNmzb5+PhMmTJl8eLFOjo6iYmJ+vr6TXsy0KgMDAx4PB7pFAAAQgJ1QwBoEBcXl6CgoB07dpAOAqIoMTExISHB2dmZdBAgj1lT+8mTJ4MHDyadBUTCkydPKisr2Ww26SDwY6SkpJgew3+vg+zr6ztx4kSmx/C7KioqKioq/vzzz8OHD0+cOPHNmzc9evRo4rzQmAwMDN6/f086BQCAkBCqYUwA0HScnZ3j4uJq+4geoEndvHlTQUEBb9uAoihlZeX27dtjhXdoNhwOp23btpqamqSDQKNJSUn57vonFEWJiYkxd8nKyjo4OKxcuXLMmDFfvnzR0dFp3ozwS7S1tdPT00mnAAAQEug3BIAG6dWrV4sWLYKDg6dOnUo6C4ic4OBgR0fHbwbbg8iyt7cPCQnZunUr6SAgEkJCQuzt7UmngMaUkpJSc+knplBYUVGhpKTEZrN79epla2vbrVu36pVwvnz5oqqq2swhr127Vlpa6ubmVvdmly9flpWVHTBgQPOkqqmBCet269at/Pz80aNHN1YqhqqqanZ2duPuEwBAZKFuCAANIiUl5eDgEBQUhLohNLOSkpLQ0NBdu3aRDgL8wtnZ+cCBA2lpaVpaWqSzgJDLycl59uzZokWLSAeBxpSamlpRUcFisWia1tXVtbe37927t52dHbOC8zfKy8vz8/PV1NSaOeTGjRuzs7PrrcqtXr1aQ0ODSN2wgQnrtm3btvfv3zd63VBNTS07O5umaaxmAwDw61A3BICGGjx48Jw5cwoKClq2bEk6C4iQ4ODg4uLiQYMGkQ4C/MLe3l5aWvrOnTseHh6ks4CQu337NovF6tu3L+kg0JhUVFRmzZplZ2dnZ2enra1d98a5ubk0TVevrdxsZs2aVVxc3MwH/SH8nFBVVbWioqKgoEBBQYF0FoD/sHfn8VDu/R/HZyzZQouO4kSKyp4tS7QIUUQbaUGnaNHeKZUW1amj7YgWqbQIWdrspEL2kC05JJRKCwnJPvP7Y+67X3en0zp8Z3k//7gfNabrejk9bs185ntdXwC2h7khAHyrWbNmubq6RkVFzZs3j3QLcJHQ0FAjI6OvvrUD7iEiImJkZBQfH4+5IfS0+Ph4AwMDcXFx0iHATGfOnPn2JzNGY8LCwj2W83mf/fnGuLyaRdbQsfJPYEFBQQqF0tbWhrkhAMDPw74oAPCt+vfvb2xsHBYWRjoEuMj79++jo6Pt7OxIhwBrsbCwuHHjRldXF+kQ4GQ0Gi0hIQE7uXO5jo4OCoXSEzfYtbOz27dvX0ZGhp2d3aBBg5SVlffv3/9hl+fVq1cvWrTow5MLCwtNTEz69esnLCysq6sbFxf32WNevnzZyMjIw8PjWwKSk5NdXV1Hjhw5dOhQe3v7kydPdnd3fzj74sWLnz596urqOmjQoH97hFG4atUqIyOj2trajw/u4uJiZmbG+K/3hRP1EAEBAQqF0t7e3qNnAQDgEpgbAsB3sLW1jY+Pb2xsJB0C3CI2Nra1tXXmzJmkQ4C1WFpavnnzJjk5mXQIcLKMjIwXL15YWVmRDgGSGLOnD3ukMNGtW7fOnj07derUjo4OFxcXYWHhzZs3u7i4ML6amZmZkpLC+HVycrKent7ff/+9ePHiefPmlZWVTZ8+PSMj45MDhoaG2tvbCwsLu7m5ffXsSUlJJiYmISEhU6ZMWbJkSU1NzfLly7ds2cL4alFRUXp6+rRp006cOCEjI/PZRz4UysvLp6WlXb169cPBnz9/7u/vP2DAgD59+nz5RD2E8feFuSEAAFNgbggA38HGxoZOp0dGRpIOAW4RFhY2ceJESUlJ0iHAWhQUFDQ1NbH8GXpUaGjo6NGjVVRUSIcASYyVcYw9l5nu0aNHO3fuvHbt2t69e7OzsydNmnT27Nm8vLyPn0Oj0dauXSsgIMDYIszf3z8rK6u7u/vEiRMfPy0oKGj+/PlmZmaRkZFCQkJfPfWlS5f4+PgePXp09OjRnTt33rx5c8iQIVFRUR+eUFZWNmTIkNLS0g89/3yEYd68eXx8fJcvX/7wSFhYGI1GY6xG/OqJegJjfWhnZ2ePngUAgEtgbggA36F///4WFhbnz58nHQJc4c2bN1FRUfb29qRDgBXZ2tpevXoVbwuhh9BotKtXr+LnD/ToBKpfv35r165l/JqHh2fr1q10Ov3GjRsfPyc/P7+wsNDGxkZeXp7xyOjRo318fMaOHfvhOQEBAQ4ODhYWFteuXWNcovtV69evz8nJ6devH+O3HR0d/fr1a2pq+vg5e/bsGT169JcfoVAogwYNsrCwSE1NffXqFeORkJAQaWlpU1PTbzwR0zFWGn7jfwoAAPgyzA0B4PssWbIkKSnp4cOHpEOA8128eJGPj8/W1pZ0CLAiW1vbN2/e3L59m3QIcKaUlJTnz5/PmTOHdAgQxrjilXGfPqZTUFD4eJMTZWVlCoXy6NGjj59TUVFBoVBUVVU/fnDlypWrV69m/LqgoGDRokU0Go1Op3/79dSjR4+WkpI6fPjw7NmztbW1hw4dWlpa+vETBg0apKOj8+VHPnB0dOzu7r527RqFQqmurs7OznZwcODh4fmWE/UExt8X5oYAAEyBuSEAfB8LC4uhQ4eePXuWdAhwvnPnztnb24uKipIOAVYkJyeno6MTGhpKOgQ4U1hYmJqamqKiIukQIIwxe+qhueGQIUM+/q2IiAjlv3sBf/D69WsKhSItLf1vB2loaJg3b56Dg0NMTExwcPA3nvrgwYO//vrrnj17Ojs7TUxMzp8/P27cuI+f8M+h2xfGcJaWlv3792dcqsz4sezk5PSNJ+oJjL+vnrgrJQAAF8LcEAC+Dy8vr6Oj47lz53B5IPSorKyswsLCJUuWkA4B1jVv3rzLly+/e/eOdAhwmtbW1tDQ0Pnz55MOAfIYs7we+jnDWEv4QXV1NYVCGTVq1McPDhs2jEKhZGdnf/xgQEDAh5vGaGlpBQQE/PXXXwMHDly7dm1dXd1Xz/v69evNmzeLi4vX1NRERER4enrOmDGjra3th78RAQEBOzu75OTk+vr6kJAQAwODkSNH9sSJvhHj74vxdwcAAD8Jc0MA+G6LFy9+/fp1T9/TGrjcmTNn1NTUPr5/E8AnFi5c2NnZiSWHwHSXL19ubm5euHAh6RAgr1+/fnx8fPX19T1x8PLy8o9v/HLu3DkKhTJmzJiPn6OjoyMkJPTxPRkePHjg5OT0YbdlMTExKpU6cODAgwcPvn79es2aNV897+PHj2k02syZMz+s6K+pqSkoKPiZ78XR0bGrq2v//v2M66Z77kTfoq6uTkhISFhYuKdPBADADTA3BIDvJisra2Fh4ePjQzoEOFZdXV1wcPDSpUtJhwBLGzBgwMyZM0+fPk06BDjNmTNnrK2tP7mGFLgTlUrt37//tyzi+wHd3d02NjbXrl0rKSnZs2ePj4+Pra2tkZHRx8+RlJRcu3ZtUVHRsmXLcnNzAwIC7O3t+fj4li1b9snRnJycjIyMgoODY2Njv3zeUaNG9e3bNzQ0NCoq6uHDh+fPnzcwMBATE3v37l1ZWdmPfS96enojR47866+/hIWFP9yYuCdO9C3q6uokJCR67vgAAFyFj3QAALCl9evXT548OTs7W1dXl3QLcKBjx44JCQk5OjqSDgFW5+zsPGnSpIKCgk9W6AD8sPLy8tTU1K9OXlhESkoKh+1UVlVVRTrhUwMHDuyhueHkyZOlpaVnz55No9EoFMrEiRNPnDjxz6ft2bOHTqcfPHjQz8+PQqEMGTIkKCjony/AqFTqyZMnx4wZs2zZspKSki/cHVhUVPTs2bO//fbb9OnTKRTKgAEDvLy8REREHB0dVVRUfvhGNAsXLty+ffvMmTPFxMR69ERfVV9fP2DAgB46OAAAt6HS6XTSDQDAlrS0tEaOHHnp0iXSIcBp2trahg0b5uLisnv3btItwOrodPro0aNNTU2PHTtGugU4xMaNG8PCwqqqqhi7wbKsgoICDQ0N0hU9paysjHGDPFZgYmIyfPjwU6dOMfewEhISOjo6cXFxDQ0Nubm50tLSSkpKX3h+S0tLUVGRmJiYgoICU3b8qK+vz8/PHzJkiJKSEmNb5/r6+oaGBnl5+Z8/OJETfbBw4cKGhobo6OgeOj4AAFfB3BAAflBQUJCjo2N5efnw4cNJtwBHOXny5Nq1a6urqwcPHky6BdjAkSNHtm/f/uTJk/79+5NuAbbX3NwsIyOzadOmLVu2kG75ChqN1traSrqipwgLCzMGTKxgyZIljx8/TkxMZO5hP8wNmXtYhhUrVnzhqwsXLtTX1++J87IIQ0NDDQ2No0ePkg4BAOAEuE4ZAH6Qra3tli1bjh496uXlRboFOEd3d7eXl9fChQsxNIRv5OzsvGfPnpMnT7L+oAdY3+nTpzs7O11cXEiHfB0PDw+2i+0dw4YN+7AJCbuYNGnSF77K8ffurKqqmjFjBukKAAAOgbkhAPwgfn7+9evXu7u7u7m5YcQDzBISEvLo0aPIyEjSIcA2REREnJ2dvb29161bJygoSDoH2FhXV5e3t7ezs/PAgQNJtwALGT58+JMnTzo7O/n5+Zl42CFDhvTc3h1z5szpoSOzvvfv37948UJOTo50CAAAh2Dp+7YAAItbtmzZgAEDPD09SYcAh+ju7t6zZ8+CBQtGjRpFugXYyerVqxsaGnC7VfhJoaGhz549W7VqFekQYC3KysodHR1M3/+3uLj44sWLzD0mUCiUkpISGo2mqqpKOgQAgENgbggAP05QUHDz5s1+fn5Pnz4l3QKcICAgoLKycvv27aRDgM1ISUnNnTv30KFDjD1JAX4AnU4/dOjQ7NmzcdNe+ISiomKfPn2KiopIh8A3KS4uFhISwv+RAQCYBXNDAPgpzs7OQ4YM2bdvH+kQYHudnZ1//PGHk5PTiBEjSLcA+3F3dy8vLw8JCSEdAuzqypUrhYWFuEsm/FOfPn1Gjx6NuSG7uH//vrKyMi8vL+kQAAAOgbkhAPyUPn36bN261d/fv7KyknQLsLczZ848e/Zs27ZtpEOALY0cOdLe3t7Dw6Orq4t0C7AfGo22Z88eW1tbdXV10i3AijQ1NXNyckhXwDfJycnR1NQkXQEAwDkwNwSAn8VYILZx40bSIcDG3r59u3PnTldXVxkZGdItwK527txZXV0dGBhIOgTYT0hISElJyc6dO0mHAIsyMDDIzs7GxxKsr729PTc319DQkHQIAADnwNwQAH4WHx+fj4/P1atXExMTSbcAu9q1axeFQsGdDeFnjBgxwsHBYffu3Z2dnaRbgJ10d3fv3r3b3t5eUVGRdAuwqHHjxrW0tBQWFpIOga/Iyclpa2sbN24c6RAAAM6BuSEAMIGJicnUqVPXrVuHj+LhB1RUVJw4ceKPP/7o168f6RZgb9u3b6+trT1x4gTpEGAnp06dqqqqwmJD+AJFRcUBAwakpqaSDoGvSEtLGzJkCDZFAQBgIswNAYA5vL29Hz586O/vTzoE2M+aNWsUFRUXL15MOgTYnqys7Nq1a3ft2lVXV0e6BdhDQ0PDjh07Vq1aJS8vT7oFWBeVSp08eXJCQgLpEPiKhIQEU1NT0hUAABwFc0MAYA55eXlXV1d3d/fXr1+TbgF2EhERERsb6+Xlha0PgSnc3d2FhISwdgy+0a5du6hUKnZkgq8yNzdPTk5+//496RD4V83NzRkZGVOmTCEdAgDAUTA3BACm2bVrl7Cw8Lp160iHANtoampauXKlo6PjpEmTSLcAh+jbt+/evXv9/PyKi4tJtwCr+/vvv3GTBPhG5ubm7e3tKSkppEPgX926daurq8vMzIx0CAAAR6HS6XTSDQDAOeLi4qZOnRoZGWllZUW6BdjAihUrwsPDHzx4MGjQINItwDloNJqurq6YmNjNmzepVCrpHGBd5ubmL168yMvLw3pn+Bba2tqampqnTp0iHQKf5+joWFFRkZ6eTjoEAICjYL0hADCThYXF3LlzV65c2dzcTLoFWF1WVpafn5+3tzeGhsBcPDw8x48fT0lJOXfuHOkWYF1BQUGJiYnHjx/H0BC+0Zw5c65evYod21lTe3t7RESEnZ0d6RAAAE6D9YYAwGSvXr1SUlKyt7c/evQo6RZgXa2trVpaWsOGDYuNjSXdApxp3bp1586de/DggZSUFOkWYDn19fVKSkpz5sw5duwY6RZgG1VVVSNGjIiLi8Md9FjQ9evXZ82a9eTJE2lpadItAAAcBXNDAGC+oKCghQsXxsbGmpubk24BFrVq1arAwMDCwkIZGRnSLcCZ3r9/r6qqqq2tHRoaSroFWI6Dg8OtW7dKSkpwZ0P4Lnp6eqNGjbpw4QLpEPiUnZ3dixcvcANKAACmw3XKAMB88+fPt7e3d3R0fPnyJekWYEUJCQnHjx8/fvw4hobQc4SFhX19fcPCwiIiIki3AGtJSEi4ePHiyZMnMTSE7+Xk5BQeHt7Q0EA6BP5HfX19RETEokWLSIcAAHAgrDcEgB7R2Ng4ZswYRUXFmJgY7EsAH3v9+rWampqpqWlAQADpFuB8ixYtio2NLSoqkpSUJN0CLKG+vl5dXX38+PHBwcGkW4D9NDc3S0lJeXp6urq6km6B/3f48OE9e/Y8e/ZMRESEdAsAAKfB3BAAekpqauqkSZOOHTu2bNky0i3AKuh0uqWlZWlpaUFBgZiYGOkc4Hzv3r3T1NQcPnx4XFwcPsMACoViZ2eXkZFRWFg4YMAA0i3AlhYvXpyTk1NUVEQ6BP6DTqcrKSlNnDjR19eXdAsAAAfCdcoA0FOMjIy2bNmybt26vLw80i3AKvbv35+YmBgYGIihIfSOvn37BgUF3b59+/jx46RbgLxTp05dvnw5ICAAQ0P4Ya6ursXFxTdv3iQdAv8RGxtbVlaGFaAAAD0E6w0BoAfRaLRp06Y9ePAgNzd30KBBpHOAsFu3bk2ZMuXQoUNr164l3QLcxcPD48CBAzk5OcrKyqRbgJiysjItLa3Vq1fv27ePdAuwN2NjYwEBgbi4ONIhQKFQKBMnThQWFo6NjSUdAgDAmTA3BICe9ebNG21t7eHDhyckJPDy8pLOAWKePHmira09efLkS5cukW4BrtPV1TVhwoSGhobs7GxRUVHSOUBAS0uLvr6+oKBgeno6Pz8/6RxgbzExMVZWVoWFhaqqqqRbuF1OTs7YsWNv3rw5efJk0i0AAJwJc0MA6HEFBQUGBgZr167FEg+u1dbWNn78+Obm5rt372JqA0TU1tZqaWmNHTv22rVruNEhF3J0dIyOjs7NzZWTkyPdAmyPTqerq6uPHj06LCyMdAu3s7Kyevny5d27d0mHAABwLNzfEAB63JgxY44ePerp6YnNK7kTnU5fsmRJeXl5REQEhoZAypAhQ8LDw2NjYw8ePEi6BXrbkSNHAgMDg4KCMDQEpqBSqR4eHpcvXy4oKCDdwtVyc3NjYmJ2795NOgQAgJNhvSEA9JINGzYcO3YsLi7O2NiYdAv0qu3bt+/fvz86OtrMzIx0C3C7v/76a9OmTTdu3MAPIu6Rmpo6efLkXbt2bdmyhXQLcA46na6trT106NDr16+TbuFe5ubmzc3N6enppEMAADgZ5oYA0EtoNJqtrW1SUlJGRsaoUaNI50AvOXfu3G+//XbixInly5eTbgGgUCiUuXPn3rx5MyMjY+TIkaRboMdVVlbq6+uPGzfuypUruD4dmCsuLm7q1KnJyckTJkwg3cKNbty4MWXKlNu3b0+aNIl0CwAAJ8PcEAB6T2trq4mJSW1tbWZmpqSkJOkc6HHJyclTpkzZuHHjH3/8QboF4D9aW1snT5784sWLrKysX375hXQO9KA3b94YGBiIiIikpKT07duXdA5woKlTp9bW1ubm5mLnt17W1dWloaGhoKBw9epV0i0AABwO9zcEgN4jJCR0/fp1Hh6eadOmNTY2ks6BnpWTk2NtbT1r1qw9e/aQbgH4f0JCQpGRkby8vJaWlu/fvyedAz2ls7PT1tb23bt3ERERGBpCDzl8+HBJScnZs2dJh3AdX1/fhw8f4n61AAC9AHNDAOhVgwYNSkhIqK2ttbCwePfuHekc6CnFxcUWFha6urrnzp3DtYHAaiQkJKKioioqKpycnGg0GukcYD46nb5o0aLc3Nz4+Phff/2VdA5wLEVFRVdX1y1btrx69Yp0Cxd5/vz59u3b161bN2LECNItAACcD9cpAwAB5eXl48ePV1FRiY6OFhQUJJ0DTFZRUTF+/Pjhw4cnJCSIiIiQzgH4vJSUlClTpjg5Ofn6+mK6zWHWrFlz8uTJ6OhoU1NT0i3A4VpaWlRVVfX09IKDg0m3cIuZM2fm5+ffv38frzEAAHoB1hsCAAEjR46Mi4vLy8uztbXt7OwknQPM9Pjx48mTJ8vIyMTFxeEFPbCyCRMmhIWFnT17du3ataRbgJnc3d2PHz9+4cIFDA2hF4iIiBw/fvzSpUsxMTGkW7jClStXrl+/fubMGbzGAADoHbweHh6kGwCAG9Hp9KFDh546dSo7O3vmzJl8fHyki4AJKioqjI2N+/fvn5iYKC4uTjoH4CtGjRqlpKS0adOm7u5u7MjJGY4cObJ9+3Y/Pz8HBwfSLcAtFBQUKisrvb29HRwcMMzqUbW1tZaWlnPnzsXnPQAAvQbrDQGgt9FotJMnTyopKY0bNy4pKSkzM9Pc3Ly5uZl0F/ys0tLSiRMnSkhI3Lx5s3///qRzAL7JrFmz/Pz89uzZ8+eff5JugZ/l4+Ozfv36o0ePLlmyhHTibxEWAAAgAElEQVQLcJejR48KCAg4OjriHlA9h06nOzs7i4qK/vXXX6RbAAC4COaGANCrSkpKDAwMli9fLikpqaqqqq2tnZKSUl5ePnny5Ddv3pCugx937969CRMmDB8+/Pbt2xISEqRzAL7D4sWLjx496u7uvnPnTtIt8OM8PT3Xrl174MABV1dX0i3AdcTFxQMCAm7cuHHy5EnSLRzLy8srISHh3LlzYmJipFsAALgI5oYA0Eva2tq2b98+ZsyYvLw8KpX64QoyZWXlW7duPXv2zMzM7OXLl2Qj4cfcuXPH2NhYU1MzPj4er+aBHbm6ugYEBOzbt2/lypVYLsSO9u/fv3XrVi8vr99//510C3ApIyOjrVu3rlu37u7du6RbOFBaWtrmzZvFxcVXrVpVXl5OOgcAgItgbggAvSE1NVVFReXPP//s6urq6uqi0+l2dnYfvqqoqJiamtrY2Kivr19aWkqwE35AcHCwmZmZqalpRESEsLAw6RyAH7RgwYLAwMBTp04tW7aMRqORzoFvRafT169f7+7ufubMmTVr1pDOAa7m4eFhbGw8e/bsV69ekW7hKC9evLCzszM3N793756wsLC2tnZISAjpKAAAboG5IQD0rIaGBmdn5wkTJjx+/Li7u5tCoVCpVE1NTXl5+Y+fNnz48Ozs7KFDhzJuekgoFr6bt7f3woULly5dGhoaKiAgQDoH4KfY2dmFh4dfuHDB3t6+ra2NdA58XXt7u4ODA2M3299++410DnA7Hh6ewMBAPj4+Ozu7jo4O0jkcoq2tbdasWSIiIhcvXpSRkUlNTV2xYoW9vf3SpUvb29tJ1wEAcD7MDQGgB4WHh8vLy1+4cIFOp3d1dTEe5OXl/ew2lwMGDEhISDAxMTE3N7948WLvlsJ36+zsXLx48YYNG44dO+bt7c3Dg39QgBNYW1vHx8cnJiaamJjU1dWRzoEvefPmzZQpU6KioqKjo+fMmUM6B4BCoVAGDBhw7dq1vLw8FxcX3PTg59HpdCcnpwcPHly/fl1cXJxCofDx8Xl6el67di0sLMzAwKCyspJ0IwAAh8PbPADoEVVVVaampra2tg0NDZ2dnR9/qbu7e/bs2Z/9U4KCgqGhoVu2bHFwcFi6dOknfxBYx+vXr83NzUNDQ69fv758+XLSOQDMNHHixLt377569UpXV/fvv/8mnQOfV1VVZWhoWFFRkZycbGpqSjoH4P+pq6uHhYUFBQXt2bOHdAvb27Jly9WrV8PCwpSUlD5+3MbG5u7du11dXZqamleuXCGVBwDADTA3BAAm6+rqOnDggKKiYkpKCoVC+eTDdh4ennHjxklLS//bH6dSqR4eHkFBQYGBgZMnT37x4kWPF8N3Sk9PHzNmzJMnTzIzMy0tLUnnADCfvLx8amqqhISEoaEh7pzAgtLS0vT09ISEhO7evTtmzBjSOQCfMjc3P3bsmIeHB7ZX/hlHjhw5cODA6dOnP/vZgIKCQnZ2tqOj45w5c9asWYMPmwEAegjmhgDAZIGBgZs3b25vb//sC7iPd1L+gnnz5mVkZDx//lxbWzszM7MHMuEHnTp1ytjYWENDIycnR1VVlXQOQE+RlJRMSkoyNjY2MzM7fPgwrjdkHT4+PsbGxgYGBikpKVJSUqRzAD5v6dKlu3btWrFihb+/P+kWtnThwoX169f/+eefjo6O//YcQUFBb2/v8+fP+/v7T548+fnz571ZCADAJTA3BAAmc3JyioqK6tu3Lz8//2efMHPmzG85jrq6ek5Ojrq6+qRJk7y8vPCmnbi3b9/OnTt3xYoVO3bsiIqK6tevH+kigJ4lLCwcFhZ2/PjxLVu2zJgxo7GxkXQRt2tra/vtt9/Wrl27fv36K1eu9O3bl3QRwJds375906ZNy5YtCwsLI93CZoKCghYvXrxjxw43N7evPtnBwSEnJ+fNmzfq6uoJCQm9kAcAwFUwNwQA5ps2bdq9e/fk5OT4+Pg+fpyXl3fKlCkDBw78xuP0798/Kipq+/btbm5u5ubmtbW1PRAL3+TOnTvq6up37tyJi4tzd3enUqmkiwB6iYuLS3x8fEZGxrhx40pLS0nncK/y8nJdXd3IyMiEhARPT0/sxQRswdPT09XVdd68eRcuXCDdwjbOnDnj4OCwYcMGDw+Pb/wjioqKmZmZJiYmFhYWmzdv7u7u7slAAADugpdcANAjFBQUkpKSBAQEPh4w0en0BQsWfNdxeHh43N3d09PTq6ur1dTUIiIimF0KX9HV1eXh4WFsbKyoqHjv3j3sPwBcyNjYOC8vT1RUVFtb29fXF8ufe5+/v7+mpqaAgEBeXh5+CgF7OXLkyKZNmxYtWnT8+HHSLWzAy8vLxcVlx44d+/fv/64/KCoqeunSpfPnz/v4+JiamuIG2QAAzIK5IQD0lI0bN4qIiGzdupWHh4exMISfn9/KyuoHDqWjo5OXlzd9+nQbG5slS5a8ffuW2bHweUVFRfr6+gcPHjx+/Hh8fPzgwYNJFwGQMXTo0NTU1I0bN65atcrCwgLLn3tNY2PjvHnznJ2dFy9enJaWJisrS7oI4Lvt27fvjz/+WLVqlbu7Oz54+Dc0Gm3jxo0bNmw4dOjQzp07f+wgDg4OaWlpjx8/1tbWTk9PZ24hAAB3wtwQAHqEr69vSEhIYGDgH3/8ERMTIyIiQqFQpk+f/sO3o+rbt6+/v/+VK1diYmKUlJQuX77M1F74VFtbm7u7u7a2Nj8/f15e3tKlS0kXARDGx8fn4eGRnJxcVlamqakZExNDuojz3bhxQ1lZOS0t7fbt297e3n369CFdBPCDtm7devbs2YMHD9ra2ra2tpLOYTnt7e3z58/38fEJCAhYv379zxxKU1MzPz9fT09v4sSJHh4eNBqNWZEAANwJc0MAYL7i4uINGzZs27aNcTWZubl5fn6+qqrqvHnzfvLIM2fOLC0ttbKysrW1tbKyqqmpYUYvfCotLU1TU/PIkSN79uxJTU0dPXo06SIAVmFoaFhQUGBqamppaTl//vxXr16RLuJM9fX1jo6OU6ZMMTQ0LCwsnDhxIukigJ/l5OQUExOTmJhoamqKNcsfe/r06YQJE27cuHHjxo3vvaHNZ4mJiYWHhx86dGjfvn02NjYNDQ0/f0wAAK5FxVJ5AGCud+/e6ejo/PLLL7dv3+bl5f3weEtLCz8/P7NWi9y+fXvp0qWvXr3avn376tWrsQiFWZ4/f75ly5aLFy9OmzbtxIkTQ4cOJV0EwKLi4uKWL1/e1NTk6enp7OyMzYKYKDw8fOXKlby8vEePHp01axbpHABmKikpmTFjxrt378LCwgwNDUnnkJeUlDR37lwJCYlr166NHDmSuQdPTU21t7fn5eUNDQ3V09Nj7sEBALgE1hsCAJOtWLGivr4+ODj446EhhUIRERFh4nTP2Ni4qKhozZo1O3bsUFFRiYqKYtaRuVZbW9u+fftGjRqVkpISFhYWFRWFoSHAF1hYWBQXFy9YsGD58uVmZmbYapkpysrKLCws7OzsGKvLMTQEzqOsrJyTk6Ojo2NsbHz48GFuXsNBo9H+/PNPMzOzCRMmZGdnM31oSKFQjIyMCgoKFBUVJ06c6O3tzfTjAwBwA8wNAYCZzpw5ExQUdPHiRWlp6Z4+l5CQ0O7du0tLSzU0NKytradMmVJSUtLTJ+VIdDr98uXLSkpK+/btc3NzKy0tnT17NukoADYgKirq4+OTlpZWX1+vpqa2Zs2aN2/ekI5iV2/fvt2wYYOqquqzZ89SUlJ8fX3FxcVJRwH0CHFx8evXr+/evXvLli1Tpkx5/vw56SICampqJk+evGvXrgMHDoSGhv7w/a+/SkJCIi4ubteuXRs2bJg1a1ZjY2MPnQgAgFNhbggATFNSUrJmzRo3N7cpU6b02kllZWVDQ0NTUlLq6urU1NQWLFhQXl7ea2fnALGxsWPHjrW1tTU0NCwrK9u2bZuQkBDpKAB2oq+vn5ube+LEiZCQkJEjRx4/fryrq4t0FDvp7u728/MbOXJkQECAj49Pfn6+kZER6SiAnkWlUjdv3pyenv748WN1dfWQkBDSRb3q4sWL6urqL1++zMrKWrduXU/f54FKpbq5uSUmJmZkZIwdO7aoqKhHTwcAwGEwNwQA5mBshDdmzJjdu3f3/tmNjIxyc3OvX79+//59RUVFW1vbioqK3s9gL2lpaRMnTpw2bVq/fv1ycnICAgJ6YZUoAEfi4eFxdnaurKxcuXLlhg0bFBQUTp061d3dTbqL1dHp9KioKE1NzVWrVs2YMaO0tHTZsmWf3OMCgIPp6Ojcu3dv9uzZ8+bN45Ld3qqqqszNzZ2cnBYuXJiXlzdmzJheO/WkSZNyc3N/+eUXXV3d06dP99p5AQDYHeaGAMAc27Ztq6ioOH/+PB8fH5EAKpVqZWWVl5d3/vz5/Px8JSWl3377DVcu/xONRouKiho/fryRkZGgoGB2dnZiYqKWlhbpLgC2JyIi4uHhUVJSMn78+BUrVqipqYWHh3Pzzcu+gE6nX7t2TV1d3cbGRlVVtaSkxM/PT0JCgnQXQG8TERHx9fVNTk4uLy9XVlY+dOhQR0cH6agewbiNsqqq6tOnT9PS0ry9vXv/+gZpaemkpCQ3N7dly5Y5ODi8f/++lwMAANgR5oYAwASpqaleXl5Hjx5VUFAgW8LLy7tw4cLS0tKTJ09mZWWpqqpOnTr11q1bZKtYRHt7++nTp5WVla2trUVFRVNTU+Pj48eOHUu6C4CjjBgx4sKFC/fv31dTU5s7d+6YMWOCgoI6OztJd7GKrq6u0NBQLS2tWbNmjRo1qri4ODAwkPi/HQBkjR8/vrCwcN26dYzd3iIjI0kXMdmH2yhv2bLl3r17+vr6pEr4+Pg8PDwiIiJiYmJ0dHQePHhAqgQAgF1gbggAP6uxsXHBggVWVlaLFi0i3fIffHx8jMWGkZGRra2tJiYmmpqa586da2lpIZ1GRk1NjYeHh6ys7KpVqwwMDO7fvx8TE2NoaEi6C4BjjR49+tKlS4WFhUpKSk5OTvLy8ocPH25qaiLdRdK7d++8vb0VFBTmz58/YsSI/Pz88PBwJSUl0l0ALEFQUHDXrl0PHz7U09OzsbExMDDgjE89GTdFsbW11dbWLikpcXd379OnD+koiqWlZX5+vpiYmJ6eXmhoKOkcAACWhrkhAPys5cuXt7W1+fn5kQ75FJVKtbS0TEpKysnJGT169PLly6WkpJYtW5aXl0c6rZd0dnZeu3Zt2rRpcnJyJ0+eXLx4cXV1tb+/P96oA/QOFRWVS5cuVVRUzJw5c9euXTIyMhs2bCgrKyPd1dsqKirc3NxkZGTc3d0tLS3Ly8vDw8PV1dVJdwGwHGlp6YCAgIyMDBERERMTk8mTJycnJ5OO+kGJiYmMm6IICwvfvXs3LCxMVlaWdNT/k5GRSU5OXrRo0dy5c5cuXcqpl4cDAPw8Km67AwA/Izg4eMGCBdHR0VOnTiXd8hX19fUBAQFnzpx58OCBhoaGg4PD7Nmzf/31V9JdPSI3Nzc0NDQwMPDVq1dmZmZLliyZPn06Pz8/6S4A7vX27dtTp075+vpWV1cbGRk5OzvPnj2bs7cvb2tru3r16pkzZ5KTk6WlpZcvX75s2bIBAwaQ7gJgD3fu3NmxY0dKSoqWltbvv/8+e/ZsUreQ/i6dnZ1hYWGHDh0qKCgwMTHZtWuXgYEB6agvuXbt2qJFi+Tl5cPDw+Xk5EjnAACwHMwNAeDHPX36VF1dff78+T4+PqRbvkNGRoa/v//Vq1ebmpoMDAxsbW1nz549ZMgQ0l1MUFBQEBoaGhYWVllZOWLEiPnz5//2228s9fE+AJej0WiJiYmnT5+OiooSFha2t7e3s7MzMjLi4eGcS0BoNFp6enpoaOilS5eamposLS2XLFlibm6OjZIBfkB+fr6Xl9elS5cGDRrk4OCwdOlSlp1tPX36NCgoyNfXt6amZurUqdu2bdPV1SUd9U3Ky8vnzJnz+PHjs2fPzpw5k3QOAABrwdwQAH4QjUYzMTF58eJFXl4eOy6ZaW9vv3HjRmhoaGRkZEtLi56enoWFhbm5uaamJnu9gX///n1KSkpcXFxcXFxFRYWsrKytrS3jRkKk0wDgX718+TIgICAwMLCoqGjIkCGzZ8+2s7PT19dnr58/H6PT6VlZWWFhYeHh4c+ePVNRUZk/f76joyNnfCoDQFZVVZWfn9+FCxdevXplampqb29vbW3dr18/0l0UCoXy5s2ba9euXbp0KSkpafDgwYsWLXJxcZGRkSHd9X3a2tpWr1595syZVatWHTp0CJdoAAB8gLkhAPygY8eOrV+/PisrS1NTk3TLT2lra4uLi4uOjo6Pj3/+/Pkvv/wyZcoUMzMzQ0PDYcOGka77vK6urqKiojt37sTHx6ekpLS3t6urq5ubm1tbW+vq6lKpVNKBAPCtqqqqIiMjAwIC7t27N2jQoIkTJ1paWlpaWrLL9bwtLS23b9+Ojo6Oi4urqamRk5OzsrJycHDQ0tIinQbAaTo7O6Ojo8+fP5+QkEChUMzMzKytrc3NzaWlpXs/5smTJ/Hx8REREYmJiby8vFOnTnVycrKwsGCLi6n/TUBAwPLly7W1tS9duiQlJUU6BwCAJWBuCAA/4vHjx6qqqmvXrt29ezfpFmYqLCyMj49PSEhIT0/v6OiQkpIyNDQcN26cgYGBqqqqgIAAwbaGhobc3Nz09PT09PSsrKx3794NGDDAxMTE3Nzc3NwcK3oA2F1xcXFUVFR8fHxmZiadTtfV1TUzMxs3bpyenl7fvn1J1/2PlpaW7OzstLS0xMTErKwsOp2up6dnbm5uZWWF3U4AekFjY+P169fDw8Nv377d2tqqpqbG+LzTwMBg0KBBPXfely9fZmRk3Llz58aNGw8ePBAREZk8ebKtre306dNFRUV77ry9qbS0dPbs2a9fvw4MDDQzMyOdAwBAHuaGAPDd6HS6ubn5kydP8vPzBQUFSef0iLa2ttzc3LS0tPT09IyMjDdv3vDx8Y0cOVJVVVVNTU1VVXX06NGysrJ9+vTpoYCmpqaqqqqSkpKioqLi4uLi4uKamhoKhTJ8+PBx48YxpplKSkpYWgjAeRobGxMTE+Pj45OSkiorK3l5edXV1ceNG6evr6+urj5y5MjeX87T1dVVUVFRWFiYmZmZnp5eUFDQ1dU1bNgwY2Njc3NzExOT/v3793ISAFAolNbWVsbFB7du3SopKaHRaKNGjdLU1GS8VlFWVh46dOgP31q0q6urpqbm/v379+/fLywsvHfv3sOHD3l5eVVUVBgfWxoZGZH9SLWHNDc3u7i4hIaGbtq0ad++fex7+wgAAKbA3BAAvtvp06eXLVuWmprK4hvkMQudTi8rKysqKiosLGSM8KqrqykUCg8Pj5SUlNx/SUhIDBw4cODAgYMGDRo4cKCoqKiQkNC/zVWbm5s7Ozvr/1dtbW1VVVV1dXVVVVV9fT2FQuHn5x89ejRjWKmmpqahoTF48ODe/N4BgKza2tr0/8rPz+/q6hIQEFBSUlJVVVVRUVFQUJCTkxs2bJi4uDgTT9rU1MT4QfTw4cP79+8XFxc/ePCgra2Nj4+PMcFkIHJpJAD8m7dv32ZkZGRmZubn5xcXFz958oRCofDz88vIyMjJyUlLSw/8LzExMT4+Ph4eHnFx8bdv39Lp9M7Ozubm5rq6OsYLkqdPn1ZXV9fU1HR2dlIolGHDhqmqqmpoaBgYGOjr64uJiZH+XnvDqVOnVq1aZWhoGBwcLCkpSToHAIAYzA0B4Ps8f/5cRUVlyZIlBw4cIN1CTGNj48OHDxnvq6v/q66u7s2bN11dXf98vri4OOPD6vb29vfv3//zCYKCggMHDpSUlGSMABj/O3z48BEjRvTckkYAYC8dHR0lJSXFxcWMtT8lJSXPnj1jfGnAgAHDhg2TlpZmfIAhISEhISEhJibGWAbYp08fERGRD8d5//59e3s7hUJpaGhgTApev37NGBY8f/78w+cWFAplyJAhKioqjIVLjLVLHLm2CIAjvX37trS0tLKykvFypba2tr6+/s2bN/X19e/evevo6Pj4yX369Onbt++HweKQIUMYn4kOHz5cUVGRSwaF/5SXl2dra9vR0RESEjJu3DjSOQAAZGBuCADfx8bGprS0tKCggB33UO4Fb9++ZXxc39zc/GFKyPgwn/LRu3fGR/0fXqALCwsT7gYANtTW1lZVVfVhnfKLFy8Y4z/GHLCpqemrRxAVFf2wSnrgwIGDBw/+8OmFnJwcfs4DcLDu7u6mpqYPH23CZzU2Ni5evDgiIsLd3X3nzp24PwwAcCHMDQHgO1y8eNHJySk5OdnIyIh0CwAAfEVjYyONRuvo6GhpafnwoLCwsICAAJVK7devH8E2AAC2QKfTfXx8Nm7caGFhcf78edzOFQC4DeaGAPCtXr9+raysbG9v7+3tTboFAAAAAKCXpKamzp07l4+PLywsTFdXl3QOAEDvwaJ0APhWa9asERER2bt3L+kQAAAAAIDeY2RkVFBQoKioOGHCBHyCDgBcBXNDAPgmd+7cCQkJ8fHx6du3L+kWAAAAAIBeNWjQoLi4uF27dq1fv37BggXv3r377NNwPR8AcBhcpwwAX9fR0TFmzBgFBYWIiAjSLQAAAAAAxCQlJc2bN09cXDw8PFxVVfXjLz1+/NjV1TUiIoKXl5dUHgAAc2G9IQB83eHDh6urq48cOUI6BAAAAACApEmTJuXm5kpISOjq6p45c+bD4+3t7dOnT4+JiTl27BjBPAAA5sLcEAC+oqamZu/eve7u7nJycqRbAAAAAAAIk5aWTk5O3rRp09KlSx0cHN6/f0+hUNauXfvgwQMKheLm5lZRUUG6EQCAOXCdMgB8xYwZM0pKSoqLiwUEBEi3AAAAAACwiqioKEdHR1lZWScnp7Vr1zIe5Ofn19DQyMzM5OHBMh0AYHuYGwLAlyQkJJibm8fGxlpYWJBuAQAAAABgLZWVldOnT2esNPzw5pqHh8fb23vlypVE0wAAmABzQwD4V+3t7WpqamPGjAkNDSXdAgAAAADAclpbW7W0tMrLy7u7uz9+XEBAoKSkZMSIEaTCAACYAgunAeBfeXp6Pn/+/PDhw6RDAAAAAABY0bJlyx4+fPjJ0JBCodBotEWLFmGZDgCwO8wNAeDznj59evDgQXd3919//ZV0CwAAAAAAy/H397948WJXV9c/v9TZ2Zmenu7n59f7VQAATITrlAHg8xYuXJienv7gwQNBQUHSLQAAAAAArKWqqkpJSamjo4NOp//b22ohIaHS0lJZWdlebgMAYBasNwSAz7h3715wcPCBAwcwNAQAAAAA+Cc5ObmysrK//vpr/PjxvLy8vLy8/9xAuaury8HBAYt1AIB9Yb0hAHyGkZERjUZLS0ujUqmkWwAAAAAAWFpdXV1sbGxwcPDNmzcpFAqVSv1w8TKVSj116tSSJUuIBgIA/CDMDQHgUyEhIfPnz8/KytLR0SHdAgAAAADANurq6iIiIsLDw2/dukWj0Xh4eLq6ukRERP7++2/cNBwA2BHmhgDwP9ra2hQVFSdNmnT27FnSLQAAAAAAbKmxsTEqKio8PDw+Pr6jo8Pc3DwuLo50FADAd8PcEAD+h6en5969e8vKyqSkpEi3AAAAAACwt5aWlri4uCtXrsyePXvWrFmkcwAAvg/mhgDw/+rq6uTl5detW7dz507SLQAAAAAAbK+0tFRLS4t0RU/Jy8tTVFQkXQEAPYiPdAAAsJC9e/cKCAisX7+edAgAAAAAACeg0Witra179+7lsKt5nj9/7u7uTqPRSIcAQM/C3BAA/qO6utrX19fLy0tUVJR0CwAAAAAA57C2tlZWViZdwUwlJSXu7u6kKwCgx/GQDgAAVuHu7i4rK7tkyRLSIQAAAAAAAABAHtYbAgCFQqEUFhaGhISEhoby8/OTbmEnzc3NVVVV1dXV1dXV9f9VV1dXV1fX1NREo9EaGxspFEpbW1trayuFQhETE+Pl5eXl5RUTE+Ph4Rn4vyQlJYcNGzZs2DBZWdk+ffqQ/uYAAAAAAACAq2FuCAAUCoWyceNGbW1tbPH2ZTU1NUVFRcXFxYWFhQ8fPmTMChlfkpSUlJCQGDhwoISEhJyc3NixYxkjQjExMQqFIiAgICwsTKFQGhsbaTQaY55Io9E+jBorKirq6+tra2ubm5spFAoPD4+UlJScnJyioqKampqampqqqmq/fv0Ifu8AAAAAAADAbTA3BADKzZs3ExMTk5KSqFQq6RbWUl9fn5mZmZ6enpWVVVhY2NDQQKFQZGRkVFVVJ02axFgbKCcnJycnJyQkxKwzfljAWFlZWVJSEh4ezjivrKzsmDFjDAwMxo0bp62tLSAgwJQzAgAAAAAAAHwWlU6nk24AAML09fX79esXFxdHOoQl1NXV3bhx4/bt2xkZGX///TeFQlFUVNTX19fU1FRVVSWy7u/Jkyf3798vKirKzc3NyMiora0VEBDQ0tIaN26cmZmZkZERZogAAAAArKmkpERFReX+/fucty8KR35fAPAJrDcE4HaxsbFZWVlZWVmkQ0ii0Wi5ublxcXFxcXE5OTm8vLz6+vozZswwMDDQ19cfMGAA2TwZGRkZGZmpU6cyfltZWZmenp6RkRETE3Pw4EERERFjY2MLCwtzc3M5OTmyqQAAAAAAAMAxsN4QgNvp6upKSkpGRkaSDiGARqNlZGSEh4eHh4fX1tZKSkqamZlZWVmZmZmJi4uTrvsmL1++TEhIiI6OvnHjRmNjo5KS0pw5c+zt7UeNGkU6DQBYBZ1Of/v27YffiouL8/DwEOwBAOAqnLouj1O/LwD4BNYbAnC1yMjInJyc7Oxs0iG9LSsrKyQk5PLly8+ePVNRUVm+fPmMGTNUVFRId303SUlJBwcHBweHjo6O1NTUy06Fy9EAACAASURBVJcv+/r67tq1S1NT087Ozt7efujQoaQbAaAH1dbWVv9XbW3txxu7NzY2vnv3rrOz87N/kI+PT1RUVExMTEJCgrGt08CBAwcPHvzhzq1Dhgzp3W8FAAAAAFgO1hsCcC86na6rqystLX3t2jXSLb2ksbExNDT0xIkThYWFcnJyVlZWjo6OmpqapLuY6cMiytDQ0NevXxsbG7u4uNjY2PDz85NOA4Cf9fjx4w+7upeUlDx69KitrY1CofDx8Q0dOlRaWnrgfw0aNEhcXJyxsTuVSv34xqyM/dy7u7ubmpqamppev37NmDPW19c/f/68pqaGMWoUFBSUk5NTUVFRV1dn3N0Vd0IAAPgBnLouj1O/LwD4BNYbAnCva9eu5ebmnjp1inRIb0hNTfXz87ty5Qo/P//cuXNPnz6to6NDOqpH8PDwGBoaGhoaHjp0KDIy8vTp03PnzpWUlHRycnJxcRk2bBjpQAD4Du/evcvOzmbc0jQ7O5txufGwYcPU1NSsra0VFBQYywN//fVXPj7mvKjr7u5++vQpYwHjw4cP79+/7+/vX11dTafTxcXFx44dy9jVXU9PT1RUlClnBAAAAACWhfWGAFyKTqdraGgoKCiEh4eTbulBNBotJiZm3759WVlZWlpaLi4u9vb23PZe99mzZ4GBgb6+vjU1NVOnTt2yZYuBgQHpKAD4V+3t7WlpafHx8bdv3y4qKurq6pKTk2OM6hhL/3r/BqxNTU33798vLCzMzMzMyMh49OgRLy+vqqqqsbGxubn5+PHjsas7AMC/4dR1eZz6fQHAJzA3BOBS4eHhc+fOzc/PV1NTI93SI5qbm8+ePevl5YVhGcMnI9TVq1fPnz+fl5eXdBcA/EdNTU10dHR8fPytW7daWlqUlJRMTU0NDQ0NDAykpKRI1/2PFy9eZGRkpKWlJSYm3r9/X1hYeNKkSRYWFpaWlrKysqTrAABYC6fO1zj1+wKAT2BuCMCNaDSahoaGoqJiSEgI6Rbma2lpOXbs2P79+zs7O+fNm7d+/XpsLvyxtLQ0Hx+fq1evjho1ys3NbcGCBdhZFYCgurq6q1evBgQEZGRkCAkJGRgYWFpa2tjYsMsA7sOu7omJiW/fvmXs6u7g4DB8+HDSaQAALIFT52uc+n0BwCfwXhGAG4WGht6/f9/d3Z10CJO9f//+0KFDcnJy+/btW7Vq1ZMnT/z8/DA0/IShoWFYWFhRUZGKisqiRYu0tbWjo6NJRwFwnebm5tOnT0+YMEFSUnLjxo3Dhw+PjIx88+ZNYmLimjVr2GVoSPnvru5hYWEvX76MiYnR0dHx9vZWUFAwMjI6efJkU1MT6UAAAAAA+HGYGwJwne7u7j179tjb26uqqpJuYZru7m5fX195eXkPD4/FixdXVlbu2rWrf//+pLtYl5KSUmhoaH5+voyMzPTp0/X09FJTU0lHAXCFu3fvOjs7S0lJrV69Wlpa+sqVKy9fvgwICLC0tGTruwT26dNn6tSp58+ff/HixfXr12VlZTds2CAlJfXbb79lZmaSrgMAAACAH4G5IQDXCQ4OLi8v37ZtG+kQprl165aGhsbatWvt7OwqKyv//PPPgQMHko5iD2pqatevX7979664uPj48ePt7OweP35MOgqAM7W1tZ0+fXrMmDG6urpZWVl79+59/vx5cHCwjY2NoKAg6TpmEhAQsLKyCgwMfPbs2f79+/Pz8w0MDFRUVHx9fd+/f0+6DgAAAAC+A+aGANylu7t779698+fPHz16NOkWJqioqLC1tTUxMZGUlMzPz/fy8vrll19IR7EfbW3thISExMTEkpKSkSNHrlmzBpcWAjDR69evd+/eLSsru2rVKg0NjYyMjOLi4tWrV3P8muh+/fq5urrm5+ffvXtXX19/w4YNsrKyO3bsePnyJek0AAAAAPgmmBsCcJeLFy9WVFRs3bqVdMjP6ujo8PDwUFZWLikpYcy8lJSUSEexNxMTk3v37u3bt+/ChQvKysqRkZGkiwDYXnV19fLly2VlZX18fJydnaurq8+dO6evr0+6q7fp6OicPn368ePHrq6uJ0+eHDZsmIuLy6NHj0h3AQAAAMBXYG4IwEW6u7v/+OMPBwcHdt8qJDMzU0ND49ChQ56enoWFhWZmZqSLOESfPn02bNhQXl4+ceJEa2trW1vbFy9ekI4CYEtPnz5dvnz5qFGjbty4cfDgwcePH//xxx+DBw8m3UXSoEGDPDw8Hj9+fOTIkaSkJEVFRWdn5ydPnpDuAgAAAIB/hbkhABcJDw+vrq5m68WG79+/37x5s5GR0aBBg/Lz89etW8fHx0c6itP88ssvFy9ejIuLy8nJUVRUPHXqFJ1OJx0FwDZevHixZs0aBQWF2NjYY8eO/f33366uriIiIqS7WIWQkNDSpUtLS0v9/Pxu3bqloKCwcuXK58+fk+4CAAAAgM/A3BCAixw8eHD27Nny8vKkQ35Qdna2urq6n5/fiRMnkpKSFBQUSBdxMnNz85KSkqVLl65YsWLKlCl4Vw/wVR0dHd7e3iNHjgwJCfHw8CgrK3N2dubn5yfdxYr4+PgWLVpUVlZ2+vTpuLg4eXn5zZs3Nzc3k+4CAAAAgP+BuSEAt4iPj793797GjRtJh/yIrq6unTt3jhs3btSoUX///beLiwuVSiUdxfmEhYU9PT3v3LlTUVGhoaERHR1NugiAdYWHh48aNWrbtm2bN2+urq52c3PjsF2SewI/P7+Dg8ODBw927tx54sQJZWXlS5cuYYEzAAAAAOvA3BCAW+zfv9/MzExLS4t0yHerrq6eNGnSgQMHDh8+HBUVJSkpSbqIuxgYGBQWFtrY2FhZWTk4OLS0tJAuAmAtxcXFEyZMsLOzmzBhQllZ2datW4WEhEhHsRMBAQE3N7fy8nJTU9MFCxYYGhoWFBSQjgIAAAAACgVzQwAukZOTk5yc7ObmRjrku125ckVNTe3du3d5eXlr1qzBMkMiREVF/fz8QkJCoqKi9PT0Hj58SLoIgCW0t7fv2LFDS0urvb09Ozv7/PnzUlJSpKPY1eDBg/39/XNycqhUqo6OzpYtW1pbW0lHAQAAAHA7zA0BuMKff/6po6NjbGxMOuQ7dHd3u7m5zZkzZ8GCBVlZWUpKSqSLuJ2dnV1BQYGgoKCOjk5kZCTpHADCMjIyNDU1Dx8+vGfPnvT0dB0dHdJFnEBTUzM1NdXf3//UqVOqqqq3bt0iXQQAAADA1TA3BOB8ZWVlERER7LXYsL6+3sLCwsfH5/Tp0ydOnBAQECBdBBQKhSIrK5uWlmZnZ2djY7N58+bu7m7SRQAEtLa2rl692sjISFZW9sGDB25ubry8vKSjOAeVSnVwcCgsLFRWVjY1NV2+fDlujwAAAABACuaGAJzvwIEDcnJyNjY2pEO+VUFBgaam5sOHD9PT0xcvXkw6B/6HgICAn5+fn5/fkSNHLC0tm5qaSBcB9KqCggJtbe2LFy9euHAhNjZWVlaWdBFn+vXXXyMiIkJCQsLDw7W0tPLy8kgXAQAAAHAjzA0BONyzZ88CAwM3b97MLsth4uLixo8fLy8vn5ubq6mpSToHPs/Z2fnOnTuFhYWGhoY1NTWkcwB6A51O9/b21tPTExcXz8vLW7BgAekizmdra1tSUjJ8+HA9PT0PDw+scQYAAADoZZgbAnA4Ly+v/v37s8v7W39/f2tr65kzZ8bFxQ0cOJB0DnzJ2LFjc3JyeHl5dXV1sRQION7r16/NzMw2btzo4eGRmpo6fPhw0kXcQlJSMjo6+s8///T09DQxMXnx4gXpIgAAAAAugrkhACdrbGw8c+bM+vXrBQUFSbd8BZ1O37x5s7Ozs7u7+7lz5/r06UO6CL5OWlo6OTlZWVl54sSJsbGxpHMAesrdu3e1tLQePXqUkZHBRsu3OQYPD8/vv/+emZn59OlTLS2tjIwM0kUAAAAA3AJzQwBOduzYMTqdvnTpUtIhX9Hd3b148WIvL68LFy7s3LmTSqWSLoJvJS4uHhsbO2fOHGtr6+DgYNI5AMwXEBAwceJEZWXl3NxcbW1t0jncS0NDIy8vT09Pb8KECfv37yedAwAAAMAVMDcE4FhtbW3Hjh1zdXUVFxcn3fIlXV1dixYtCg4ODg8PX7hwIekc+G78/Pxnz57dsmXLggULjh07RjoHgGk6OjqcnZ2dnJw2bNgQExMzYMAA0kXcTkxM7PLly9u3b9+6dauTk1N7ezvpIgAAAAAOx0c6AAB6ytmzZxsaGlatWkU65Es6Ojrmzp1748aN6OhoExMT0jnw43bv3i0iIrJ69eqOjo7169eTzgH4WW/fvp01a1ZOTs61a9esra1J58B/UKnUHTt26Ojo2NvbV1ZWXr9+HfNcAAAAgJ6DuSEAZ+ru7v7rr7+cnJyGDBlCuuVftba2Wltb5+Tk3Lx5U09Pj3QO/Cw3Nzc+Pr7ff/+9ra1t69atpHMAflx1dfW0adPevn2bnJyMjd1ZkIWFRXp6+rRp08aOHRsbGzty5EjSRQAAAACcCdcpA3Cm6OjoyspKVl721dHRMWvWrHv37t2+fRtDQ46xYcOGY8eObdu27fDhw6RbAH5QTk6Onp4eLy9vZmYmhoYsS1lZOSsrq3///gYGBqmpqaRzAAAAADgT5oYAnMnb23vq1KksuwSju7t74cKF6enpcXFxGhoapHOAmVasWHHkyJGNGzf6+vqSbgH4bikpKZMnT1ZTU0tLS5ORkSGdA18yePDg5ORkQ0NDU1PTyMhI0jkAAAAAHAjXKQNwoJKSkuTk5Li4ONIhn8fY4jk6OjouLk5HR4d0DjDf6tWrGxsbXV1d+/Tps3jxYtI5AN8qLi5u1qxZ1tbWAQEB/Pz8pHPg60RERK5cueLi4jJnzpzg4OBZs2aRLgIAAADgKJgbAnCgI0eOyMvLm5qakg75vBUrVgQFBUVFRY0fP550C/SU7du3t7S0LFu2TEJCAntKAFuIioqaM2fOnDlzzp07x8eHF0hsg5eX98yZM6KionZ2dmfOnHFyciJdBAAAAMA58LIYgNM0NDQEBwcfPHiQh4cVb0Tg6el5+vTpK1euYPdkjufp6fn27dt58+YlJSWNHTuWdA7AlwQHBzs6Oi5fvtzb25tKpZLOge9DpVK9vLwYC5y7urqWLFlCuggAAACAQ2BuCMBp/Pz8+Pj4FixYQDrkM8LDw93d3b28vLAAjUscP368trZ22rRpmZmZ8vLypHMAPu/KlSuOjo7r1q07cOAA6Rb4QVQq9cCBA0JCQkuXLhUUFGTNfwQBAAAA2A7mhgAcpbu728/Pb8mSJWJiYqRbPpWWlubg4LBmzZrVq1eTboFewsvLGxQUNH78eCsrq4yMjP79+5MuAvjUjRs35s+fv2zZMgwNOcCuXbva29udnJz69Olja2tLOgcAAACA7bHiZYwA8MOuXr365MmTFStWkA751KNHj2xsbMzNzQ8dOkS6BXpV3759o6OjW1paZs2a1dnZSToH4H/cvn3b2tp67ty53t7epFuAOTw9PdesWbNw4cKYmBjSLQAAAABsD3NDAI5y9OhRKyurESNGkA75H+/fv585c6asrGxQUBBr3nURepSUlFR0dPTdu3c3bdpEugXg/+Xk5EyfPn3GjBn+/v740cRJDh48OG/evDlz5mRkZJBuAQAAAGBvuE4ZgHMUFBSkpv4fe3ceD9X+/wH8Mwyy7ypUlCRblihr2bK0WL5pv5ZI0b5rX2i/LXJv5aZCSSml24JIhNSVbGVNpkRukjXbMPP749zr+rWgmPnMmPfzjx6cOXPOa4bMzPu8P59PSkJCAu4gX/Lx8Xn37l1GRoaAgADuLAAPTU3N4ODg+fPna2tru7i44I4DAKJQKDNnzjQ1NQ0LC+Pm5sYdBwwkLi6u4ODg2tpae3t7mFwVAAAAAKA/4Oo6AINHQECAmpqaubk57iD/z4kTJy5evHjp0qXRo0fjzgJwmjdv3urVq5ctW5aVlYU7C+B0DQ0Ns2bNkpaWjoiIIJPhGuogxM3NHRERoaSkZG1tXV1djTsOAAAAAAC7ItHpdNwZAAADoLq6euTIkQEBAV5eXriz/Cc1NdXc3Hz37t1bt27FnQXgR6VSLSwsqqqqMjIyREVFcccBHIpKpdrZ2eXn5z958mTEiBG44wAGqq6uNjAwGD58eHx8/JAhQ3DHAQBwqJcvX6qrqw8ZMoREIuHO0hMajfZDs3bQ6fTW1tYXL16oqakxLhUAADuoGwIwSPj7+x87dqy8vFxQUBB3ln/U1dVNmDBBS0srOjqaxd8nAaapqqrS0tKytLS8dOkS7iyAQ3l6ekZGRqakpEyYMAF3FsBwL1++NDY2njFjxsWLF3FnAQBwqLq6uujoaNwpehEdHf3w4UM/Pz8REZEfuqODg4OYmBiDUgEAWAHUDQEYDKhU6ujRoxcsWHDo0CHcWf6zYMGCxMTEnJycoUOH4s4CWEhcXJytre3FixcXLlyIOwvgOH/88Ye3t3d0dPTMmTNxZwFMEhsbO3369BMnTqxcuRJ3FgAAYFFNTU3a2tpjxoyJiYmB6/0AgO5gfkMABoPr16+/f/9+2bJluIP8Jyws7MqVK+fPn4eiIfiCtbX1ihUrli9fTqFQcGcBnOXp06erVq3avn07FA05io2NzZ49e9avX//o0SPcWQAAgEUJCQmFhIQkJCT88ccfuLMAAFgL9BsCMBiYmppKSUnduHEDd5B/lJWVaWlpeXh4HDt2DHcWwIra2tr09fWFhYWTk5NhKVvAHB8+fNDV1R0/fnxMTAz81nEaOp3u7OycmpqamZkpJyeHOw4AALCorVu3BgQEPH/+fNy4cbizAABYBdQNAWB7hYWFqqqqsbGx06ZNw50FIYTodLqZmdmnT58yMjL4+PhwxwEsKi8vT19ff+/evRs3bsSdBQx+NBpt2rRpZWVlz549ExcXxx0HYFBfX6+vrz9s2LDExEQoHAMAwDd1dHQYGhrSaLT09HQeHh7ccQAALAHGKQPA9s6cOaOgoGBpaYk7yD/++OOP1NTUCxcuQNEQ9EBDQ2Pbtm27du169eoV7ixg8Dt69GhKSkpkZCQUDTmWqKhoZGTk06dPDx48iDsLAACwKDKZHBoamp+fv2/fPtxZAACsAvoNAWBvLS0t8vLyGzZs2LJlC+4sCCH0/v17NTU1T0/Pw4cP484CWF1HR4e+vr6oqGhiYiLMwA0YJysra/LkyXv37t28eTPuLACz48ePb9q0KSUlZfLkybizAMBYVCr11atXZWVlFAqFQqG8f/++pqampqbm06dPzc3NLS0tCKHW1tYhQ4YghAQEBPj5+SX/NXz4cAUFBQUFhdGjR48ZM4ZMJuN+NICpAgMD161b9+jRIwMDA9xZAAD4Qd0QAPYWFhbm4eHx5s0bWVlZ3FkQQsjJySkrK+vFixeCgoK4swA2kJGRYWBg8McffyxevBh3FjA4tba26uvri4mJPXz4EEanAjqdPmPGjKKioqysLGFhYdxxABhIVCo1MzMzPT09KysrLy8vPz+/vb0dISQhIaGgoCAnJ9dVFhQUFCTKhTw8PFQqFSHU2tr6+fPnmpqajx8/1tTUVFRUUCiU2tpahBAfH5+ampqGhoa2trahoaG2tjaUEQc94k9lYWFhdnY2/KkEAEDdEAD2ZmxsPHz48GvXruEOghBCN27cmD17dnx8vIWFBe4sgG2sXbs2LCysoKBARkYGdxYwCK1cuTI8PDwnJ2fEiBG4swCW8P79e01NTXt7++DgYNxZAOgvGo327NmzmJiYxMTEjIyMlpYWaWlpHR2dCRMmaGhoqKurjx49WkRE5OcOXldX9/r16xcvXuTl5eXk5Dx//rympkZQUFBfX9/CwsLGxkZbW5uLC6a9Gpw+fPigoaFhb28PyysDAKBuCAAbKygoUFNTu3//PitMbtjS0qKqqmpiYhIWFoY7C2AnTU1N48ePt7W1hTemYMClpqZOmTLl4sWLCxYswJ0FsBDiKheLvHoC8BPa2tru379/7dq12NjY6urqESNGWFlZmZiYGBgYMG4ZXDqdXlhY+Pjx45SUlPj4+MrKyqFDh9ra2jo7O1tZWcEaGoNPdHS0o6PjtWvXZs+ejTsLAAAnqBsCwMZWr159586dkpISVrjY6+/vf+jQoaKiIhYZMQ3YSHh4uIuLy9OnTydOnIg7Cxg82tradHR0Ro0ade/ePdxZAMv53//+9/z5c5hVA7AXOp2enJwcGhoaHR3d0NBgYGBgb29va2urrq7O/CQ5OTmxsbG3bt16+vSpuLi4o6Ojm5ubsbExk5MAhnJ3d79z505eXt6wYcNwZwEAYAN1QwDYFbEiyqZNm1hhpv+KigoVFZWtW7eyyPIsgL3Q6XRTU1M6nZ6SkgILpICBsm3btsDAwJcvX8IIZfC1qqoqVVVVDw+PI0eO4M4CQO+qq6tDQkKCg4OLi4v19fXnz58/e/ZseXl53LkQQujNmzfXrl2LiIh4/vz5+PHjlyxZ4urqKiEhgTsXGABNTU3a2tpjxoyJiYmBd2gAcCyoGwLArkJDQ728vN6+fTt06FDcWZCLi0tqamp+fj4xzTYAPyozM1NfX//q1aswFgYMiJycHD09vWPHjq1YsQJ3FsCizp496+3t/fTpU11dXdxZAPiu0tLSkydPBgcHk8nkefPmLVu2TFtbG3eob8vPzw8LCzt79uznz5/nzJmzdetWFRUV3KFAf6WlpU2ZMuX3339funQp7iwAADygbggAuzIyMpKXl7969SruIOj58+cTJ06MjIyEig/oD1dX19TU1MLCQpgjCfQTnU43MTGh0WipqamsMI0DYE10On3q1Kmtra1PnjyBPhrAgrKzs3fv3n379u3Ro0evXbvWzc1NQEAAd6jeNTU1Xbhw4fjx42/evHFyctq9e7eamhruUKBftm7dGhAQ8Pz5c8bNngkAYGVQNwSALRUUFKiqqiYkJLDCysUzZsyoqqrKyMiAz12gP96+fausrBwQEAAXtEE/RURELFq06MmTJ3p6erizAJb28uVLLS2tc+fOubi44M4CwH/y8/N37doVFRWlo6Ozbds2e3t7trsE0tnZeePGDX9//xcvXsybN2/Xrl3Kysq4Q4Gf1NHRYWRk1NnZmZ6eDhd3AeBAbPYKBAAgnDp1asyYMWZmZriDoIyMjHv37u3btw+KhqCfRo4c6eHhsXfv3paWFtxZABtraWnZsmWLm5sbFA1Br9TU1Dw8PDZt2tTQ0IA7CwAIIfTp06fVq1dPmDChoKDg6tWrGRkZjo6ObFc0RAhxc3M7OztnZ2dHR0e/fPlSTU1t6dKl1dXVuHOBn0Emk0NDQwsKCvz9/XFnAQBgwH4vQgCAlpaW8PDwpUuXssL7yK1btxoYGFhbW+MOAgaD7du319bWBgcH4w4C2Njhw4c/ffoEn21AH+3fv59KpR46dAh3EMDpOjo6Tpw4MWbMmOvXrwcHB+fm5jo7O7P7RVkSiTRz5szMzMzTp09HR0ePHz/+1KlTNBoNdy7ww1RUVA4dOrR///709HTcWQAAzAbjlAFgPxcuXFi2bFl5ebmMjAzeJKmpqSYmJomJiazQ+QgGh7Vr1165cqW0tJQtZnECrKayslJZWXn79u2+vr64swC2cfz48a1btxYWFo4aNQp3FsChsrOzPT09X7x4sX79+i1btggJCeFONPDq6+v9/f0DAgJ0dXXPnj2rrq6OOxH4MXQ6fcaMGYWFhdnZ2cLCwrjjAACYB3+zEgDgR509e9bR0RF70RAhtHfv3qlTp0LREAwgX1/fhoaGc+fO4Q4C2NL+/fvFxcXXrFmDOwhgJ8uXLx8+fDj0qAIs2tvbt27dqqenx8/Pn52dvW/fvkFZNEQIiYqKHjlyJDMzk06n6+rq7t69m0ql4g4FfgCJRLpw4UJTU9P69etxZwEAMBXUDQFgM4WFhenp6R4eHriDoLy8vISEBGjqAQNr6NCh7u7ux44d6+jowJ0FsJm3b98GBwdv3759yJAhuLMAdsLLy7tjx47Q0NDS0lLcWQBnKSgomDx5cmBgYEBAQHJysoqKCu5EDKehoZGWlnb48OEjR44YGxuXlJTgTgR+gIyMTFBQ0NmzZ69fv447CwCAeaBuCACbCQ0NlZOTMzc3xx0E/frrr2pqatOmTcMdBAw269evLy8vv3nzJu4ggM34+fkNGzbM3d0ddxDAflxcXEaPHr13717cQQAHOXPmzMSJE3l5ebOysnx8fFhh0mrm4ObmXr16dWZmZkdHh46OzoULF3AnAj/AwcHBzc3N29u7qqoKdxYAAJNwyusTAIMDjUYLDw93c3Pj5ubGm6SysvLKlSvr1q1j9xm7AQtSVFR0cHA4cuQI7iCAnVAolLCwsF27dvHy8uLOAtgPNzf3jh07wsPDCwoKcGcBg19LS4uLi8vy5cvXrVuXmpqqpKSEOxEGKioq6enp3t7eHh4eS5YsaWtrw50I9FVgYKCYmJibmxuslAAAh4B1UQBgJ3FxcTY2NgUFBdhHsvj6+oaEhFAoFBgPCBghIyNDX1//0aNHJiYmuLMA9uDl5fXw4cOCggIymYw7C2BLnZ2dmpqaEydODA0NxZ0FDGZlZWVOTk5v3rwJDw+3tbXFHQe/W7duubq6KisrR0VFjRgxAncc0CdpaWlTpkz57bffli1bhjsLAIDhoN8QAHYSGhpqZGSEvWjY1tZ27ty5FStWQNEQMIienp6BgcFvv/2GOwhgDx8+fLh48eKGDRugaAh+Gjc394YNGyIiIsrLy3FnAYPWkydPJk2aRKfTnz17BkVDgr29/V9//dXc3Dxp0qTMzEzccUCfGBkZbd68ef369UVFRbizAAAYDuqGALCNhoYG4pIs7iDoxo0bdXV1ixcvxh0EDGZeXl7R0dHV1dW4gwA28NtvvwkLC7u4uOAOAtjbokWLhg4dC/9aRwAAIABJREFUClcsAIPcvHnTwsJCR0fn0aNHo0ePxh2HhSgrKz958kRHR2fKlCl//vkn7jigT/bs2aOurr5w4UJYFxuAQQ/qhgCwjStXrtBoNGdnZ9xB0NmzZ2fMmCErK4s7CBjM5s6dKyAgcPHiRdxBAKtrbm4+ffq0j48PPz8/7iyAvfHw8Pj4+Jw5c6a+vh53FjDYnD59evbs2e7u7nfv3hUREcEdh+UICQlFR0fPnz/fycnp3LlzuOOA3pHJ5NDQ0IKCAn9/f9xZAACMBXVDANhGaGiok5OTmJgY3hilpaVJSUlLlizBGwMMevz8/PPmzfvjjz9gHl7Qs7CwsKamJh8fH9xBwGCwbNkyGo12/vx53EHAoHL06NHly5f7+fn99ttv2Je2Y1lkMvns2bPbtm1bsmTJyZMncccBvVNRUTl06ND+/fvT09NxZwEAMBCsiwIAeygpKRk3blxsbOy0adPwJtm8efPly5cpFAq88QWMlpOTo6WllZKSYmxsjDsLYF0aGhqTJ08+e/Ys7iBgkFi5cmVsbGxxcTGJRMKdBQwGfn5+u3btOn78+OrVq3FnYQ+HDx/29fXdv3+/r68v7iygF3Q6febMmQUFBdnZ2cLCwrjjAAAYAvoNAWAPoaGhsrKyFhYWeGPQaLRLly4tXrwYioaACSZMmKCtrQ1rm4IepKenv3jxYunSpbiDgMHDy8vr1atXSUlJuIOAweDw4cO7du06c+YMFA37btOmTSdPnty6dWtAQADuLKAXJBLp/PnzTU1N69atw50FAMAoUDcEgA3QaLSLFy+6uLhgr9alpKRUVlbOmzcPbwzAOebNmxcVFdXe3o47CGBRZ8+e1dTUnDhxIu4gYPDQ0NCYNGkSdLCC/vv99983b9585MgRLy8v3FnYzIoVK44fP7527dqgoCDcWUAvZGRkgoKCgoODr1+/jjsLAIAhoG4IABt48ODB27dvWWGp0KtXr2pqao4fPx53EMAp5s2bV1dXl5iYiDsIYEX19fWRkZHQbAgG3JIlS6KiomA9d9AfERERK1euPHjw4Pr163FnYUurV6/euXPn8uXLb968iTsL6IWDg4Obm5u3t3dVVRXuLACAgQd1QwDYQGhoqIGBgYqKCt4YnZ2dN27cmDNnDt4YgKOMHDlSX1//6tWruIMAVnT58mU6nb5w4ULcQcBgM3fu3CFDhoSHh+MOAthVSkqKu7v72rVrN2/ejDsLG9u9e/fSpUsXLVr09OlT3FlALwIDA8XExNzc3GD5BAAGH6gbAsDqGhoabt686erqijsISkpK+vvvv6FuCJhszpw50dHRbW1tuIMAlhMeHu7k5CQqKoo7CBhshISEnJ2doW4Ifk5xcbGjo+P06dOPHDmCOwvbO3nypJmZ2axZs8rKynBnAT0REhIKCQlJSEiAoeUADD5QNwSA1UVGRtJotLlz5+IOgm7evKmlpTV27FjcQQBncXZ2rq+vh6HK4Avl5eWPHz+G6VYBg8ydO/fZs2evXr3CHQSwmcbGRgcHhzFjxly6dImLCz5q9Rc3N/eVK1fk5OQcHByam5txxwE9MTIy2rx58/r164uKinBnAQAMJHgxA4DVXbp0yd7eXkxMDHcQFBsbO336dNwpAMcZMWKEhoZGbGws7iCAtURGRoqKilpZWeEOAgYnc3NzGRmZa9eu4Q4C2AmdTvfw8Pj06VNUVBQ/Pz/uOIOEkJBQdHR0ZWWlp6cn7iygF3v27FFXV1+4cCGVSsWdBQAwYKBuCABLKy8vT0lJYYXZu4qKikpLS21tbXEHAZzI1tYW6obgC5GRkY6Ojry8vLiDgMGJm5vbyckJJlcFP+TXX3+9efPm1atX5eXlcWcZVEaOHBkeHh4ZGRkYGIg7C+gJmUwODQ0tKCjw9/fHnQUAMGCgbggAS7ty5YqoqKi1tTXuICgmJkZcXHzSpEm4gwBOZGNjU1xcXFpaijsIYBUUCiUjI8PZ2Rl3EDCYzZkzJycnBwbcgT569uzZtm3b9u/fP2XKFNxZBqFp06bt2rVr48aNubm5uLOAnqioqBw6dGj//v3p6em4swAABgbUDQFgaREREc7OzqzQUBMTE2NlZUUmk3EHAZzIyMhIVFQUWg5Bl9u3b4uIiFhaWuIOAgYzU1NTaWnpP//8E3cQwAaam5sXLVpkaGi4fv163FkGrW3bthkYGMyfP7+lpQV3FtCT5cuXW1tbL1q0qLGxEXcWAMAAgLohAKyrsLAwKytr/vz5uIOglpaWR48ewSBlgAsPD4+5uXlcXBzuIIBVxMTEWFpa8vDw4A4CBjNubm4rKyu4YgH6Yv369R8/frx8+TKshcI4XFxcISEhlZWVW7ZswZ0F9IREIp0/f76pqWndunW4swAABgC8sAHAui5fviwrK2tiYoI7CMrIyGhtbTUzM8MdBHCuqVOnpqam0mg03EEAfq2trcnJyXAlAzCBra1tamoqtMyAniUlJQUFBZ06dUpWVhZ3lkFu1KhRAQEBgYGBjx8/xp0F9ERGRiYoKCg4OPj69eu4swAA+gvqhgCwritXrsyfP5+bmxt3EPT48WNZWdlRo0bhDgI4l5GRUW1tbWFhIe4gAL+kpKTm5uZp06bhDgIGPxsbm46OjocPH+IOAlhXW1ubt7e3nZ3dnDlzcGfhCC4uLlZWVosXL25tbcWdBfTEwcHB3d3d29u7qqoKdxYAQL9A3RAAFvXXX3+VlJSwwiBlhFBaWpqRkRHuFICjaWlpCQsLp6am4g4C8IuNjdXU1BwxYgTuIGDwk5KS0tHRgaHKoAd79uyprKwMCgrCHYSDnDlz5t27d4cPH8YdBPQiMDBQXFzczc2NTqfjzgIA+HlQNwSARUVERCgpKenq6uIOguh0+pMnT6BuCPDi5ubW19dPS0vDHQTg9/DhQysrK9wpAKewtrZOTEzEnQKwqNLS0mPHjvn5+cnJyeHOwkEUFBR27tx56NCh8vJy3FlATwQFBUNCQhISEqCwDgBbI0HtHwAWRKPRRo4c6enpuXv3btxZUGFh4fjx4//66y89PT3cWQBH271796VLl169eoU7yP/z/v37MWPG4E7BKImJiZMnT8ad4v9paGiQkJCIioqyt7fHnQVwhJiYmOnTp1dVVcnIyODOAliOo6NjUVFRTk4OLNPEZO3t7RoaGrq6upcvX8adBfRi27ZtJ06ceP78+bhx43BnAQD8DDLuAACAb0hMTKyoqGCRQcqZmZm8vLxaWlq4gwBOp6+vv2fPntraWnFxcdxZ/kOj0VpaWrZt26akpIQ7y0Cqq6tbu3ZtZ2cn7iBfevz4MY1GMzAwwB0EcApDQ0MuLq709HQoVYMvJCUlRUdHx8bGQtGQ+Xh5eQ8fPuzo6Lhy5Up4RWBxe/bsSUhIWLhwYXp6OvxnAYAdQd0QAFYUERGhq6vLIhflcnNzVVVV4WUeYKepqYkQysvLMzU1xZ3lS7a2toNsLH9FRcXatWtxp/iGtLS0sWPHQucXYBpRUVFVVdW0tDSoG4IvbNu2bdq0adbW1riDcCh7e3sTE5Pt27c/ePAAdxbQEzKZHBoaqqur6+fnt3fvXtxxAAA/DOY3BIDltLe3R0dHs0izIUIoNzeXqNcAgJe8vLykpGRubi7uIACntLQ0Q0ND3CkAZzEyMoLJVcEX7t279/jxYyiC4LVv377ExERY8Zz1qaioHD58eN++fY8ePcKdBQDww6BuCADLuXv3bl1d3dy5c3EH+Udubq6GhgbuFAAghJC6unpeXh7uFAAbOp3+7NkzGJIGmMzAwCAzM5NKpeIOAljIrl27Zs6cOWnSJNxBOJqxsbGlpeXOnTtxBwG98/HxsbW1dXd3b2xsxJ0FAPBjoG4IAMuJiIgwNTWVl5fHHQQhhGpqaiorK6FuCFiEhoYG9BtystLS0sbGRphuFTDZhAkT2traiouLcQcBrOLBgwfPnj3btWsX7iAA7dq1KzU1FTqCWR+JRDp//nxTU9O6detwZwEA/BiY3xAA1tLY2Hjnzp3jx4/jDvKPFy9eIITU1dVxBwEAIYTU1dVDQ0NxpwDY5ObmcnFxqaqq4g4COMv48eN5eXlzc3PV1NRwZ/lPQ0NDSkoK7hSMMnXqVEFBQdwpvuvXX381MzPT1dXFHQQgY2NjAwODo0ePDrJZhgclGRmZoKAgR0dHa2vr2bNn444DAOgrqBsCwFru3LlDpVKdnJxwB/nH69ev+fn5ZWVlcQcBACGExowZ09jY+PHjRykpKdxZAAa5ubljxowREhLCHQRwFl5eXmVl5by8PNaZehgh9Pr16xkzZuBOwShFRUXKysq4U3zby5cv4+Libt++jTsI+Mf69evnzJlTWFiooqKCOwvohYODg7u7u7e3t7Gx8bBhw3DHAQD0CdQNAWAtUVFRZmZm0tLSuIP8g0KhKCgokEgk3EEAQAghRUVFhFBZWRnUDTlTXl4eLNMEsGDZSRKys7OVlJRwpxhIeXl5LD6H6e+//66srGxnZ4c7CPiHg4ODgoLCmTNnTpw4gTsL6F1gYGBqaqqbm1tMTAx8xACALUDdEAAW0tzcHBsbe/ToUdxB/kPUDXGnAOAfI0eO5ObmplAoenp6uLMADF68eMFSDV+Ac2hoaAQFBeFO8Q38/PysPJ73JwwZMgR3hJ60tLRERETs2LED6h2sg5ub29PT8+jRowcPHmTx3x+AEBIUFAwJCTE1NT1z5oy3tzfuOACA3sG6KACwkDt37rS2tjo6OuIO8p+ysjKiwwsAVsDDwyMrK1tWVoY7CMCARqNRKJSxY8fiDgI4kZKSUnl5eVtbG+4gALOIiIjm5uZffvkFdxDw/7i7uzc0NNy8eRN3ENAnhoaGvr6+GzZsKCoqwp0FANA7qBsCwEKioqKmTJkiIyODO8h/oN8QsBpFRUUKhYI7BcCgoqKivb0d/iIBLBQVFWk0Wnl5Oe4gALMLFy44OTmxznwygDBs2LDp06efP38edxDQV7t371ZXV1+wYAGVSsWdBQDQC6gbAsAqWlpa7t2797///Q93kP/Q6fSqqio5OTncQQD4j7y8fGVlJe4UAAOiXgx1Q4AF8YsHFy043Lt379LS0hYuXIg7CPiGhQsXPnz48O+//8YdBPQJmUwODQ0tLCz08/PDnQUA0AuoGwLAKmJiYpqbmx0cHHAH+U99fT2VSoUFKABLkZKS+vjxI+4UAIOysjI+Pr7hw4fjDgI4kZSUlLCwMEySwOEiIyNFRUWtrKxwBwHfYGdnx8/PHxUVhTsI6CsVFZXDhw/v27fv0aNHuLMAAHoCdUMAWEVUVJSxsbGsrCzuIP+pqalBCEHdELAUSUlJ4jcTcBoKhTJq1CguLnjrAvBQUFCAfkMOd+3aNXt7ez4+PtxBwDcICAjMmDEjMjISdxDwA3x8fGxtbd3d3RsbG3FnAQB8F7z5BoAltLW13blzh6UGKaN/64aSkpK4gwDwH6gbcqz379+z1JUVwGnk5eUrKipwpwDYfPjw4a+//nJycsIdBHyXk5NTWlpabW0t7iCgr0gk0vnz5z9//rx27VrcWQAA3wV1QwBYQmxsbGNjI0utpIwQIkaDQr8hYClSUlKfPn2i0Wi4gwBm+/jxI6xFADCSkpKCixacLDY2lkwmm5ub4w4CvsvS0hIhlJCQgDsI+AEyMjJBQUHnzp27fv067iwAgG+DuiEALCEqKsrQ0HDEiBG4g/w/tbW1fHx8goKCuIP8vFu3bnH4iJX8/Pz9+/fv2bMHd5ABIykp2dnZ2dDQgDsIYLaamhpofwYYQbMzh4uNjTU1NRUSEsIdBHyXuLj4pEmTYmNjcQcBP8be3t7d3d3b27uqqgp3FgDAN0DdEAD8qFQqCw5SRgg1Nzfz8/PjTtGTx48f+/v797B2nr+/v6+vLzMjsZQPHz5MnDhx27Zt165dw51lwBC/ky0tLYw7BazGyJpqamqg/RlgBHVDTkan0xMSEqytrXEHAb2wsbG5f/8+7hTghwUGBoqLi7u5udHpdNxZAABfgrohAPjdv3+/rq6OBWfMaW9vZ/HJv1NSUnbs2PH+/fvv7bBixYpNmzYxMxJLSUtLa2lpOXDgwIsXL3BnGTC8vLwIoba2NsadYtasWRMmTDhx4gRc92aopKSkzs7Ovu//8eNH6DcEGMFi7pysuLi4urra1NQUdxDQC1NT03fv3r158wZ3EPBjBAUFQ0JCEhISzpw5gzsLAOBLUDcEAL+oqCh9ff1Ro0bhDvKltrY2okbDvlxdXZctW4Y7BTbE1OA6Ojpf38S+8wMStWyG1g3b2tpyc3M3bNggJydnYWERFhYGy/wxgo2NzfDhw9evX//8+fO+7F9XVycuLs7oVCyu1yZr1vHhwwcBAQESiaSuro47y8CQkJCoq6uDXhjOlJaWxs/Pr6WlhTsI6IWenh4vL29aWhruIOCHGRoa+vr6btiwoaioCHcWAMD/A3VDADCjUqm3bt1iwUHKCKH29nYm1w1XrVrl4eHx7t275cuXdy2AUFdX5+Pjo66uPmzYMCcnp3v37hHbvby8iGuSixcvXrVq1TfvvmrVKnd3967jf+9QK1euNDEx+aJv0cvLa9q0ae3t7T3csWfr1683NTX9/Pkz8W1CQoKJicn27du7djh8+LCZmRlRAktKSlq+fLmysvKIESPmz59/5swZohXrp7P5+voeP34cIbR9+3Y3NzdiY0FBgZ2dnbS0tKCgoJ6eXlRUVA9P/pIlS1xdXV+9euXp6TlixAhzc/NLly4hhI4dO6arqysjI2Nra1tSUtKXp2IAEXVD4rEzCFFU7ezspNFoycnJ7u7ukpKS06dPv3btGpVKZdx5OU1nZ2d1dXVgYKCuru7YsWP37dtHoVB62L+1tZXFZ05ggl6brFnH4Ot3HjJkCI1Ggz8CnCk9PZ0oSOEOAnrBz8+vo6MDdUM2tXv3bnV19QULFsBfWgBYCtQNAcDs0aNHnz59YsFByghHv2Fubm5aWtr06dNPnTo1cuRIhNC7d++0tbXDwsJMTU3d3d0pFMrMmTNPnDiBEFJWVh4+fDjxhZKS0jfvnp6enpycTBy8h0MpKSmlpqbeuHGjK0llZeW5c+ckJCR4eXl7uGPPpKWlU1JS0tPTiW///PPP1NTUCxcudO0QEhJCpVL5+PgePnxoaWl55coVa2trT0/P8vJyb2/vLVu29CebrKysjIwMQmjEiBFEN2tqaqqenl5BQcHSpUu3b9/Ozc09e/ZsPz+/7z352dnZ9+/fnzJlSnp6upmZWVpamouLi52d3ebNm+Xl5Y2NjRMTEy0tLZncusiEccrdHxFRPaRSqfHx8XPmzJGQkFi6dGlqair0HPUf8RwSnw1evXq1Z88eRUVFLS2tgICADx8+fLFzR0cHjUbD8qGdTqf38ONm6O9/z6dmcYOv35kJzc6AZWVmZurr6+NOAfpEX1+/j23sgNWQyeTw8PDi4uKud6cAAJZABwBgtWLFCk1NTdwpvm3Hjh3q6urMPOOUKVMQQtbW1gUFBcSWhQsXIoSePHlCfNvW1mZubs7Ly1tTU0On0w8ePIgQysrK+t7dJ06cqKio2OuhPnz4QCaTp06d2pWE6NSLjY3tNUMPcnJyEELbt28nvtXU1CRWdSgqKqLT6ZWVlQihffv20en0JUuW8PHx1dbWEnu2tLQMHz5cRUWFTqf3J9u5c+cQQikpKXQ6nUaj6ejoSEhIVFRUEDu3t7cTOxN5vvnsIYT8/f2Jb4lORn5+fmJ/Op3u6ura9XCY5u3btwihRYsWbf7X9u3bD37f77//HvQdwcHBkd8iLy/fw+smDw8PQmjkyJE7d+4sKip69+4dQoioJA4mTHhcJBLp66eXRCJxc3NzcXGZmZmFhoY2NTUROzc1NSGE7t69y7g8X8vOzrawsBARERkyZIi+vv69e/e6bsrPz7e1tZWSkhoyZMjEiROvX7/eddPKlSsXL15cXl7u4+MjJSX1zS10Or22ttbb21tNTW3o0KGOjo5fPLRvnnrJkiUKCgoIIW1t7ZUrV/Ycft26dSYmJl1PYHx8vLGx8bZt27p2OHTo0NSpU1tbW+l0+sOHD318fMaOHSsvLz9v3rzTp093dHTQ6fQVK1YYGxtXVlZ2P/KSJUusrKza2tp6eBSbN28mhifr6em5urr+xJPm6enp4uJSUlLi4eEhLy9vZmZ28eJFOp1+9OhRHR0daWlpGxub4uLinp+EgZWYmIgQqq6uZuZJe5CVlcX8v8BMwIKPi7jCR/wGAtZ39uxZQUHBzs5O3EHAT/rtt9+4uLiSk5NxBwEA/IPcr6IjAKDf7ty588svv+BO8W08PDxYhgn4+fmpqKgghD59+nT58mU9Pb1JkyYRN/Hy8i5ZsiQxMfHGjRuenp493727Xg9la2t77969Dx8+ED16V65ckZOTs7Ky+rkMBE1NTTk5uUePHhEB8vLyDh8+vHHjxqSkJGVlZeIj6PTp0xFC69atW7lypZiYGHHH9vZ2MTGx+vp6hJC0tPSAZHv+/Pnz589nz54tKytLbOHh4XFzc0tMTIyPj1dWVv7ms8fNzb1x40bi6wkTJiCEzM3Nu3aeOnVqaGhofn5+1xYmIEYoZ2ZmFhQUEFs+f/78vWHLNBqNeBq/qbm5+Sdah4j/FG/fvt27d+/BgweJMfKD1Zo1a8TExMTExL5Z40MICQgIfG/1JDKZLCws/L0ji4mJ0b/VSUen04kR+snJyUlJSd7e3s7Ozi4uLsSvHzP7DZOSkmxtbSUlJT08POrr66OiombNmpWcnGxoaJiammpjYyMtLb106VJ+fv7bt2/Pnj177969O3bsQAjl5uZWVVVNnz49NzeX6Lb7esu7d+9MTEyqq6tdXFxERUXj4uJmzpx59OjRNWvW9HBqZWXlFy9eUCiUribrHnT1O1taWqJ/+51fv37t7+9P7BASEiIhIUH0O1tZWYmKii5YsEBKSio+Pt7b2/v169eHDx9WUlL67bffbty4sXz5cuJeRL+zs7Mz0e/8vUfxzX7nH3rSsrOz3717l5CQICYmZmZmdvXq1aSkpMuXL8fHx9vZ2Y0aNeru3buWlpZlZWVcXEwaPcOEfsOwsDBlZeXJkycz7hTgJxQWFra1tWlqauIOAvpEQ0Pj8+fPZWVlY8aMwZ0F/AwfH5+YmBg3N7ecnJwe3kgAAJgG6oYA4PT8+XMKhWJvb487yLfx8vIydBa5b5KWltbT0yO+JtoNmpqa5s6d27VDQ0MDQqi0tLTXu3fX66FcXV1v37598+bNpUuXUiiUp0+fbtmyhYuL6ycydGdra3vx4sW2trZHjx7R6XQXF5ezZ88mJSV5eXk9ePBATk6OqIaoqKjU1NQcPXo0PT2dQqGUlJQ0NDR0FfgGJBsxESHRVNiF+HxeXFz8vWdPVla2q1IzZMgQYkvXrdzc3IjBUw1+jThdZGQk4xZbGDduXNdz8gUSicTFxUWn06dOnbpw4UJHR8fm5uZff/2VQUmwk5WVlZCQ6Jqj82sVFRXfu6mHei6VSiX6B3tADGVtbm4ODQ3Ny8vz8PBATKwb0mi0NWvW8PHxJSUlERW6jRs3qqqqnjp1ysDAYPXq1Xx8fGlpacR/h02bNtnY2Pj7+8+dO5eooRcVFVlbW1+9erWrCv/FFl9fXwqF8uTJE6Lov2fPHltb282bN7u4uIiJiX3v1JcuXers7ExPT/f19e11fQY7O7stW7YkJycTdcPk5GQpKanKysri4mJlZeX3798XFBTs27cPIRQREUEmk0tLS4lLF5s3bx49evTt27cPHz68YMGCDRs2XL9+vatuGBkZSaPRiHlje3gUq1atEhISSkxMXLt2rbGxMZ1O/4knraqqyt/ff9u2bQih+fPn29nZJSUlvXz5ktjfzc0tNDT01atXTLtuQfz6MfQv3pUrV2JiYpSUlJYuXbpo0aJhw4Yx7lyg7168eEEmk7++JAlYk5qaGolEevHiBdQN2RSJRDp//rympubatWuDg4NxxwEAQN0QAKxu3bolJyf3zemfWAEfHx/z64bde5dqamqILcTIUIKkpOTChQvV1NR6vXt3vR5qxowZ4uLi169fX7p06dWrVxFCxFoiP5GhOzs7u+Dg4KdPnyYnJ6upqcnIyFhYWERHRyOEHjx4YGtrS+x25MiRnTt38vHxTZkyxdLSctu2bUePHi0rKyNuHZBsHz9+RAgRgxy7EI0zRPnvm8+eoKDgF1uY1trzPUTm7/2gB8TXk6+RSCQymdzR0aGnp7dgwYK5c+d2fZ5vbm5mXBLsNm3aZGRkxIgjd3Z2ksnffRNCXLRQUlJauHDh/Pnzx40bV1VV1VW6YoKsrKycnBxXV9eutj4VFZWTJ0/SaLSfa91Ffe6k1tbW/t6pf+ghQL/zgCO6bhk6OSPx9+TVq1e+vr6bN2+2tbVdsmSJnZ1d9z/ygPlev349cuRIWBSFXQgJCQ0dOvT169e4g4CfJyMjExQU5ODgYGNjM3v2bNxxAOB0UDcEAKfo6GhHR8fvDQDEDku/YXejR49GCI0dO5ZYxpfQ2dnZ2NgoICAwsIfi4+ObO3ducHBwTU3NlStXDA0Nic+i/cxgaWnJw8Pz6NGj5ORkMzMzhJCFhcXp06fv3bv39u1b4kN7dXW1r6+vtLR0SUlJ13AMog+IMCDZFBUVEUIpKSkzZszo2kis2UIch10Qv5NMqxsSo/XHjh07f/58V1dX4mkE/ffN4gvxN0dWVnb27NnOzs7Gxsbdb0L/DhJnglevXiGENDQ0um9csWIFQujKlSvox1t3+95JTfwR+OapfxT0Ow8s4qIFkYRBWlpaiC+I0fpxcXH37t0TEhKaP3++j48P8fMCzEehUL646gZYnKKiIoVCwZ0C9Iu9vb27u7u3t7eRkRGxECIAABdYTxkAbCgUSm5uLssOUkaY+g27U1JSkpaWjouL614sOHDggLinMrYsAAAgAElEQVS4+F9//TXgh3J1de3o6Dh06FB2djYxCq//GYSFhU1MTG7dupWTk0PUDc3MzLi4uHbu3MnLy0uMH3zz5g2NRnNycuoqGpaXl2dnZ3c/Tv+zaWtr8/LyxsfHd9+YlJTEzc1tbW3d6wNhHUzoN6T/u2SHmpqan59fWVlZUVHR7t27oWg4gL4oziKEhg0btnr16mfPnlVUVAQEBHQvGiKmL2VbXV2NEJKTk/v6pp9r3f1eJ3WXrk7hHk79o+zs7Nra2r7od05KSkJf9TvLy8v7+flRqVRLS8uQkJDuTaZd/c4Ioe/1O3/9KL5IMjj6nYkXxK1bt65YscLX19fX1/fgwYOHDh0KDAz8448/zp8/f+3atWvXrsXFxSUkJKSmpmZmZmZlZb1+/fr169fV1dW1tbW9tie3trZ2/5ZYnaaxsfHChQtaWloTJkwICAggnnnQH56enkePHiX+r/UF1A3ZjqKiYtegDcC+AgMDxcXF3dzcvjkhMgCAaaDfEABsoqOjRUVFTU1NcQf5LiEhoc+fP9NoNFwf1Xh5eQ8cOODp6UksnisiInLr1i1/f38rKyviYy0x3f4ff/zh7u7+zWkN+34ohNDkyZOVlZWPHTsmICAwZ86cvt+xZ3Z2dhs2bCCRSESvjYSEhLa2dmZmpoWFhZCQEEJo3LhxQkJCV69etbW1VVFRSUtL27Fjh4iISFNTU1FR0bhx4wYkm6ys7IoVK44dO+bj4+Pj48PDw3P58uXr16+7urqOHTu2zz8T/Ih58b4uKAwgTU1NNze3uXPnEk8+YISuuqG0tDQx9Hvy5Mk9NF8zYWq57ogawdOnT+fNm9e1MSwsjEaj9b91t+dO4fv373/v1ETBru+g33lgEYXO8vLyjo6O5uZmOp1eV1eHEGpqaqJSqe3t7T3MBNodiUQiRoULCQkR9VbitUBMTIxodP0acXEoLy9v3bp1mzZtmj17tqenZ9fQcvCjnj59eu7cOV9f35kzZ3p5eU2bNq3n9zkVFRWGhoZMiwf6b+TIkXFxcbhTgP4SFBQMCQkxNTU9c+aMt7c37jgAcC6oGwKAza1bt6ZPn87K0+VISkp2dHTU19eLi4vjyuDh4dHc3Lxp06bIyEiEEJlM9vT03LdvH1FfsLKymjx58unTpwsKCh4+fNifQxF++eWXHTt2ODk5iYiI/NAde2Bra7thwwZNTU1JSUlii4WFRWZmJvGhHSEkLCx8/vz5xYsXz5o1CyEkISFx/PhxQUFBV1dXdXX1rl7C/mc7cOBAZ2dnQEDA6dOniS3Lli0LCAjoy6NgHR8/fhwyZAjxMZtBiAkoAUORSKRly5bNmzfPxMSkL1cmeHh4uLi4mFY31NPT4+fnJyYBJOTn57u5ubm6uu7bt49o3T106FDXrT/Uutu9U7hr3roDBw7s2LEjJSWlh1P/aN2we7/z9u3b0Y/0Ow8dOrTrOK6urmfOnCH6nc+ePduXR/FFu2hXv/NPP2msgPj1i4mJ6bnfuba2Fv27LlBHR0djYyNCqL6+nkajtbS0tLa2dnZ2EgO6GxoaOjs7W1tbW1paiCpkz23sdDqdTqe3t7dfvnw5ISGh+whx8EOIxs+Ojg5iDL60tPTixYu9vLy+V8Wurq6WlpZmbkZ069attra2riuF3xMVFcXPz29nZ8ecVN31MWHP7t2719DQ0P0yyYCQkpIi2pwBuzM0NPT19d2wYYO5uTlczQUAGzoAAIeamhoymXz16lXcQXqSlZWFECouLsYdhN7Q0JCcnHz37t23b99+fWtFRUVDQ8OAHIoRd+yjjx8/xsfHv3jxgkajdW0pKSkZ8Gx///13XFxcUlLSp0+f+pUYk2PHjsnJyeFO8Z93794hhFJTU3EHGWAs+Lj4+flDQ0OZdrotW7YghJYuXZqRkREaGqqpqcnDw/PkyRM6nb5u3TqEkLe3d15eXmFh4c6dOxFCrq6uxB2nTJkiLy/f/VBfbyEWiJwzZ05mZmZJScmvv/7Kx8dnZWVF/Pfv4dQRERHEqf/666++PApisW8SifTx40dii66uLkLIwsKC+LahoUFISEhCQuLPP/8sLi6+cOGCvLy8uLi4iIhIYWFh13GUlZW5ubkFBATq6+v7+CjOnTuHEEpJSSF2/tEnbeLEiSoqKl3fEoNzly5d2rUlLCwMIcTMl9HIyEguLq6uP9GM0MMcXsRVxqFDh3p5ef35559UKpV4jSYmmhxMiMeVkZHR2trKoFN8/Tzz8vKSSKRJkyYFBQURzaRdaDQamUyOiIhgUJjvmThxoqKiYq+7qaqqmpmZMSHP1/qYsGdf/98fEBcuXBAQEBjwwwIsqFSqvr6+jo5OW1sb7iwAcCjoNwQAjzt37nBzc9vY2OAO0hOiP66mpgb7OFZhYeEeBnR3nym/n4f60Tv6+Pj0cJdffvnFwMCgj8eXlJQk2n+6b+lqUfyJbN8jIyMzbdq0Pu7Mgmpqavr4tIBBRlxc/NOnT0w7nZ+fH51OP3LkSFBQEEJo+PDh4eHhxNrB/W/d7blTuIdT/1CTNYJ+5wFVU1MjJibG0KXMvpjfkFjJnUqljhgxwtHR0dnZ2cjIiGXXUhtY3eceGTJkCD8//xf/iouLf72xj/9+8Tyjf5tJnz17lpGRsX79+gULFnh7e2tpaSGE6uvrOzo6mP+6s2LFiq51clgTKyeUkpJqbm5uaWnh5+fHnQX0F5lMDg8P19bW9vPz8/Pzwx0HAE5EosMkowDg8L///a+lpeXevXu4g/SkublZUFDw9u3b3WekAt1du3ath1v19PRgJvUB5+3tXVRU1H0UJ14VFRXy8vKpqal9nO+SXbDg49LU1LS3t2fyZ4bPnz/n5uaKiIiMHTv2i2klPnz4kJ2dzcfHp6mp+XOTOTQ2NmZlZTU1NWloaIwYMaLvp66srBQWFu4aWdx/NTU1WVlZw4cPV1VVJcpSNTU1tbW1SkpK/XwUX+j/k4bRvn37QkNDuxaAZgRhYeGmpiYSiUQ0Nk6YMGHu3LmOjo7fHJ2XnZ2tra1dVFREzDg5aBCP68KFC6Kioh0dHcRobmKgd11dHZ1Or62tpdFo9fX1xIhvYjA4lUptampqa2trbm4mhn73JwMPDw+VStXR0fH29jY2Nh4/fnx6evrkyZMH6jH+NOKDW/fasZqa2tChQ1nnNfFHTZ06tbS0tLy8fGAPm5SUZGZmVl1dLSUlNbBHBricOnVq5cqVDx8+ZOWp4QEYrKDfEAAM2tra4uPjjxw5gjtILwQEBPj5+WGCmB44OzvjjsBxPn78CP2GnElKSor5K8kKCgp+r2u4/627PXcK93Bqoska+p2ZrKamhtE1iI6ODi4uLiMjI2dnZwcHh17rsINY1wo8P42YTbK5ubmtrY2YbrKxsZEoRM6ZM6ezs7OH+xLluRcvXty6dYuYDJERs1HPnTt3woQJU6dODQgISExMlJGRcXFx2bhxIzHl66pVq4iltImdc3Jy1q9fn5GR0d7erqmpuXv37q4l0bu7fv16QECAhYXF7t27ew2QlJR07dq1+Pj4lpYWY2PjKVOmLFmyhFjifNWqVZ8/f96zZ8+BAwciIyOrq6u/uYVIuHLlyuzs7MjIyO4DwL28vCgUyp07d3h5eXs4EYMQk5ASaxmBwcHb2/vevXtubm45OTkDeNkMANAXUDcEAIP79+83NTWxRROfvLz827dvcacA4D9v3rwxMTHBnQJgICkpCZcxuiOWSP6eHmbKAz+HCRctTp8+PWPGDOiQGhD8/Pz8/Pxft7V2dnZ+r2jIy8vb3t4uJCRkbW09a9YsBwcHERGRgoIChFDX4j8D6MGDB5mZmYcPHzYzM/Py8rp//76vr29JSQkxc2h6enrXlZKkpCRbW1tJSUkPD4/6+vqoqKhZs2YlJyd/scrz1atXFy1aZG5uvnnz5l7P/vDhQysrK1FR0QULFkhJScXHx3t7e79+/frw4cMIodzc3KqqqunTp+fm5uro6HxzS1dCJSWl33777caNG8uXLycOXllZee7cOWdnZ15e3p5PxCBEnRfqhoMJiUQ6f/68pqbm2rVrif8jAACmgbohABjcvn1bX19fTk4Od5DeKSoqUigU3CkA+A+FQvnll19wpwAYSEpKlpSU4E7BQqDfmck+ffrE6Lrhjy6ZDX7C10OYiVHJQ4cOtbe3nzFjhrW1dffuQmKWT0bUDRFCpaWlx44dW7t2LULIz8/P0tLy/Pnz3t7exPpFBBqNtmbNGj4+vqSkJGLqgI0bN6qqqp46dap73TA8PNzV1dXa2vrGjRs9L/lNiIiIIJPJpaWlYmJiCKHNmzePHj369u3bXeW8oqIia2vrq1evqqiofG8LYcGCBRs2bLh+/XpX3TAyMpJGo7m7u/flRIwAdcNBSUZGJigoyMHBwdraGl4BAWAmLtwBAOA4dDr97t27M2fOxB2kTxQUFKBuCFjH58+fq6urYdZIzjR8+PCKigrcKQDnqqiogC7OQYBYFIVYcwYhNG7cOF9f38zMzKqqqqCgoJkzZ34xJJkYTkuj0RgRRkxMbM2aNcTXXFxcW7dupdPp9+/f775PVlZWTk6Og4ND13yjKioqJ0+e1NfX79onLCzMxcXF1tb25s2bfSkaIoTWrVuXkZFB1PIQQu3t7WJiYg0NDd338fPz+6JE+PUWhJC0tLStrW1KSsqHDx+ILVeuXJGTk7OysurjiQYc0VJK/IjBYGJvb7948WIfH5/379/jzgIAB4E/pgAwW1ZWVmVlJVsMUkYIKSgofPH+FQCMysrKEEKKioq4gwAMRo0a9ebNGzqdziHryQJWU1ZWBn98BoGWlhZubu7Jkyf/73//s7e3Hz16dM/7E2VEYsHlATd27NgvFjlBCJWWlnbf59WrVwghDQ2N7htXrFjR9XV2dra7uzuNRqPT6X2fh1FFRaWmpubo0aPp6ekUCqWkpKShoYGYO5UgLS3dfVXrb27p4urqevv27Zs3by5dupRCoTx9+nTLli3ERI29nogRiE7DPpZQAXs5efJkSkqKm5tbbGwsvB8AgDmg3xAAZrt7966srKympibuIH2iqKj47t27jo4O3EEAQOjfuuGoUaNwBwEYKCoqtra2VlVV4Q4COFFtbW19fT3UDQcBKSmpqqqq1NTUtWvX9lo0RAyuG37RwSooKIgQGjJkSPeN1dXVCKEeJrepra1dsGCBi4vL3bt3L1++3MdTHzlyRF5e3s/Pj0qlWlpahoSEGBkZdd/h66JbD2W4GTNmiIuLX79+HSF09epV1G3Qfa8nYgTi5wV1w0FJUFAwJCTkwYMHZ86cwZ0FAE4B/YYAMNvdu3dnzJjBLtfHlJSUOjo6Xr9+3c9lDQEYECUlJcOGDYN19DgTMT6dQqHAWFHAfMRFC5gkYRAg1kv5of3Rv6ObBxzRS9iFmBlm3Lhx3TcSv3VPnz6dN29e18awsDAajUbU5nR1dcPCwj59+nT37t01a9ZMmzat16V1qqurfX19paWlS0pKul5S9+3b99MPhI+Pb+7cucHBwTU1NVeuXOlaDnvAT9RHxM/riwosGDQMDQ19fX03bNhgZmb29cB5AMCAg35DAJiquro6IyPDzs4Od5C+UlNT4+bmzs3NxR0EAIQQys3NZZdeXTDg5OXleXh4YMZVgEVZWRmJRBo5ciTuIIDZxMXFSSRS19LGA6u4uLj7ck8XLlxACGlpaXXfR09Pj5+fPzExsWtLfn6+m5tbcnIy8a2IiAiJRJKUlDxy5Eh1dfXq1at7Pe+bN29oNJqTk1NXLa+8vDw7O7s/j8XV1bWjo+PQoUPEuGnGnagvPn78SCaTRUREGH0igMvu3bs1NDQWLlzIoF5gAEB3UDcEgKliYmJ4eHjMzc1xB+krfn5+JSWlvLw83EEAQAihvLy8L+Z4ApyDm5t75MiRX7TnAMAcpaWlcnJy0L7EgXh4eISFhRlUN+zs7HRwcLh58+bLly/9/PxOnjw5Z84cExOT7vsMHTp0zZo1ubm5y5Yte/bsWVhY2Pz588lk8rJly744mpubm4mJyeXLl+/du9fzeceNGyckJHT16tXbt2+XlJSEhIQYGhqKiIg0NTUVFRX93GOZPHmysrLysWPHBAQE5syZw7gT9UVNTY2EhAS7DO4BP4FMJl+6dKm4uNjPzw93FgAGPxinDABT3b17d8qUKew1ylJTUxP6DQEr6OzsLCgoWLVqFe4gABsNDQ24jAGwyM3NhYsWHEtSUvLjx4+MOLKFhYWcnNzs2bOJ9ZqnTp166tSpr3fz8/Oj0+lHjhwJCgpCCA0fPjw8PHzSpElf7EYikc6cOaOlpbVs2bKXL1/28G5TWFj4/PnzixcvnjVrFkJIQkLi+PHjgoKCrq6u6urqVCr15x7OL7/8smPHDicnp65GPwadqFcfP36UlJRk0MEBi1BSUjp06NDKlSutrKxMTU1xxwFgMIO6IQDM09HRcf/+/T179uAO8mM0NDRCQ0NxpwAAFRcXt7S0wDhlTqapqUnMuA8Ak+Xl5dna2uJOAfAYNmwYg1ZkIpPJISEhx48ff/bsmZycnKqqatdNGRkZXV9zc3MfOHBg+/btubm5IiIiY8eO7Vo3+eXLl90PqKqq2sdhm87Ozubm5llZWcOHD1dVVSVa86ZOnVpbW4sQSkpK+mL/r7d0T0jYvn379u3b+3miAVFVVTV06FBGHBmwFG9v73v37rm5uWVnZ8OwdAAYB+qGADBPWlpaXV0dG01uSNDU1Hz9+nVDQwO8HgO8cnNzyWTy+PHjcQcB2GhoaOzbt6+5uVlAQAB3FsBBqFRqYWHhpk2bcAcBeIwaNYqhM6uKi4tbWVn1upugoKCBgUEfj+nj49PDrb/88ouBgYGkpKSlpWX37ZKSkoxo02PaibqUlZXB6uecgEQinT9/XlNTc+3atefOncMdB4BBC+qGADDP3bt3x40bp6SkhDvIj5k8eTKdTn/69Glf3tQCwDiPHz/W0tKC+cU4maamZmdnZ35+/sSJE3FnARyksLCwvb0dmp05lqKiYq8zBrIaMzOzHm4d9KvSl5WVGRkZ4U4BmEFGRiYoKMjBwcHGxsbZ2Rl3HAAGJ6gbAsA8d+/enT59Ou4UP2zo0KGjR49+/Pgx1A0BXmlpacbGxrhTAJyUlJQEBQVzcnKgbgiYKS8vj4eHZ9y4cbiDADwUFBTKysoG/LDDhw+XkpIa8MMSOLmAQqPR3r59C/2GnMPe3n7x4sU+Pj7GxsaDviYOABZQNwSASd6+fZufnx8YGIg7yM8wMjJKS0vDnQJwtM+fP+fk5GzevBl3kG+zsLDg4uLCnWIg0el03BG+gYuLS1dXNz093cPDA3cWwEEeP36so6PTNaMc4DQqKioNDQ3l5eUjRowYwMPCKk8M8urVq7a2NpjVhKOcPHkyJSXFzc0tNjYW1tEGYMBB3RAAJrl9+7aIiAibdksZGRlt3Lixs7OTm5sbdxbAoZ48edLR0dH3qZ2YRlxc/MKFC7hTMMrYsWNxR/iSkZHRzZs3cacAnCUtLc3c3Bx3CoCNpqYmiUTKzc0d2LohYJC8vDwuLi6oG3IUQUHBkJAQU1PT06dP9zy5JwDgJ0DdEAAmuXv3rpWVFZt2KxgaGjY2Nubl5WlpaeHOAjhUWlqaoqKivLw87iBfEhAQcHNzw52CgxgZGR08eLC6ulpaWhp3FsARGhoa8vLyduzYgTsIwEZMTGzEiBG5ubnsONsMB8rLyyMmtcAdBDCVoaHhli1bNm7caG5urqKigjsOAIPKoBpUBQDLamlpSUpKYruVlLuoqalJSUklJCTgDgI414MHD6ZMmYI7BcDP0NCQRCI9efIEdxDAKZ48edLZ2WloaIg7CMBJS0srKysLdwrQJ9nZ2bCKEWfatWuXhobGwoUL29vbcWcBYFCBuiEAzPDo0aOWlhb2XVeEi4tr2rRpsbGxuIMADtXQ0JCenm5jY4M7CMBPXFxcRUUFZlwFTJOWljZmzJhhw4bhDgJwMjAwgD87bIFOpz9+/BgK/ZyJTCZfunSpuLjYz88PdxYABhUYpwwAM8TFxamrq7P1tDi2trYeHh6NjY3CwsK4swCOEx8fT6PRLC0tcQcBLMHMzCw+Pv7gwYO4gwCOEB8fb2ZmhjsFwMzIyGjLli0UCkVBQQF3FtCToqKi6upqIyMj3EH+n4qKiq1bt+JOwSj79++Xk5PDneIfSkpKhw4dWrlypaWlJYxTAWCgQN0QAGaIi4uztbXFnaJfbGxsOjo6Hj58OGvWLNxZAMeJiYmZNGmSpKQk7iCAJdjY2Jw6der9+/fDhw/HnQUMcrW1tX/99deGDRtwB/mu5OTkkpIS3CkGUllZGe4I3zBx4kReXt60tDSoG7K4tLQ0fn5+Vvsx1dXVhYWFmZqaCgkJ4c4ykJqamh49erRp0ybWqRsihLy9vWNiYtzd3bOzs0VERHDHAWAw4PS6IZVK/fvvv2tqampqaj5+/FhXV9fQ0NDZ2dnZ2dnQ0IAQ4uXlJWbVFRISEhISkvzX0KFDRUVFcccH7OHdu3f5+fknTpzAHaRfpKSkdHR0YmJioG4ImO/+/fuenp64UwBWYWZmxsfHd//+fVdXV9xZwCAXFxdHIpEsLCxwB/kuLy8v3BE4Aj8//6RJkxISEhYuXIg7C+hJQkKCgICArKysrq6upaWlpaWloaEhHx8f7lwIIXTq1Ck1NTXcKQbSy5cv1dXVcaf4EolEOnfunKam5tq1a8+dO4c7DgCDAQfVDWk0WmlpaU5OTn5+fmlpKYVCoVAoFRUVnZ2dxA5cXFyioqJiYmIkEon4GiHU1tbW3NyMEGpubm5oaCC+JoiIiCgqKiooKCgoKKioqGhoaGhoaMA1DfC1uLg4fn5+Y2Nj3EH6a/r06cHBwb///jsXF0yNCpgnMzOzvLycfZcVAgNOUFDQxMQkNjYW6oaA0WJjYw0NDVnzUrGmpmZTUxPuFIwiICCAO8KXbGxsAgMD6XQ6iUTCnQV8W2dnZ3x8/Pr16/X09BISEuLi4vbv38/Pz29kZETUELW1teFNLCeQkZEJCgpycHCwsbFxdnbGHQcAtkei0+m4MzDQmzdvUlNT09PTMzIyXr58+fnzZ25u7tGjRyspKSn8S15evquLsNf3Ac3NzURzYlVV1Zs3b4jiY1lZWWFhYX19PUJIUVFxwoQJBgYGhoaGEydOHDJkCFMeKGBpc+bMaWxsjImJwR2kvwoLC8ePH//o0SMTExPcWQAH2bRpU1RU1KtXr+CjGuhy/Phxf3//v//+m0zmoCuggMloNJqcnNyqVau2bNmCOwvA7/nz57q6ullZWVpaWrizgG9LT083NDR8+fKlqqoqseX9+/epqakJCQl37typrKyUlpaeOnWqpaWltbX1qFGjmBaM6Mt78eLFoOw3ZNnH5eHh8eeff+bm5sKsJgD00yCsG1ZVVcXGxsbFxaWkpFRUVPDw8Ojq6k6aNElDQ2PChAmqqqoMuoBJoVDy8vLy8vKeP3/++PHj9+/f8/Hx6erqWlhY2Nra6uvrc3NzM+K8gMV1dnbKyMjs2LFjzZo1uLMMAHV1dTMzs8DAQNxBAKeg0+mjR4+eP3/+/v37cWcBLKSkpERZWTk+Ph5WywGMk5qaamJikpeXx4ID8QDz0el0OTm5ZcuW7dy5E3cW8G3btm0LDw+nUCjfvPX169cJCQm3b99OSEhobW0dPXq05b/ExcUZGozF62s/jcUf1+fPn7W1tRUVFWNjY+HaMwD9MXjqhs+fP4+KioqNjc3KyuLj4zM1NTUzMzMyMpo4cSI/Pz/z87x+/TotLS01NfX+/fsUCkVCQmLatGkzZ86cOXMmLEfLUZ48eWJgYJCfnz9+/HjcWQbA3r17T5/+P/buPB7K9X/8+MzYo1SWCoWIQpGlFFIiRHUSUkpaqAgVRXuUUqlosbZRyladKEZ2xlL2XSTKEmXfY5bfH/P99TmnOq3MNTPezz/O48SY+zWdjtzvue/r8m1oaIA5OKCNFy9eqKqqwvUd4GtKSkpKSkoBAQGoQwDTsrOzS0hIqKioQB0C6IWdnV1KSkpJSQnqEPBtUlJSa9asuXDhwvcfNjAwkJGRkZCQkJCQUFBQgMViFRQUqANEDQ2Nn18MkUKh2Nranjp16of7ttH5fO230f/rysrK0tDQuHLlio2NDeoWABgYw6/vUFxcfPToUSkpKSUlpfv37y9atCg6OrqtrS0uLs7FxUVDQwPJ0BCDwcycOXPz5s3+/v61tbXl5eVHjhxpbW21tLScMmXKunXrwsPD/7lUImBieDxeRESEOYaGGAxm/fr1zc3N6enpqEPAWBEeHi4lJQVDQ/A1U1PTR48eDQ8Pow4BzIlMJj969GjDhg2oQwAdMTU1LS0tLS8vRx0CviEvL6+6utrU1PSHj+Ti4tLW1vbw8MjNzW1paXnw4IGSklJ4eLiOjs7kyZN1dHTOnTuXl5f3w8triouLfX19paWlo6OjR+hFgBG2aNGiQ4cOOTo6lpWVoW4BgIEx6tywu7s7ICBASUlJXl4+KChIX18/PT39zZs3165dMzAwoLellOfMmbN///74+PiWlhY/P7+hoaFNmzZNnTrVwsIiISEBdR0YXXFxcXp6eqgrRoy0tLSCgkJISAjqEDAmkEiksLCw9evXow4B9MjU1LS9vT0pKQl1CGBOqampTU1NsKA++Cc1NTVhYeGwsDDUIeAbwsLCxMXFlZWVf+mr+Pn5TUxM/P3937x5U1NTc/ny5UmTJp0/f15ZWXnq1KmmpqYBAQH19fXf/Nr4+Hg2Nrb29vbVq1dbWlp2d3ePxOsAI+zEiRPy8vIWFhZDQ0OoWwBgVIw3N8zLy9u6deu0adP27ds3b948AoHw7t07b29vdXV1+l+2YNKkSRYWFtHR0Y2NjW5ubvn5+To6OoqKin5+fnD5IVPq6OjIycnR1ZcLSQoAACAASURBVNVFHTKStm7dGhoaCj8bARqIiYlpamqysLBAHQLokbi4uIqKCpzAg1ESHh4+b948prldAIwIHA5nbm5+69YtEomEugX8C5FIvHfv3ubNm//kfHDmzJnW1tbh4eEfPnzIzc3dv39/R0eHvb39jBkzJCQkdu7cGRERQd0JkwqPx5NIJOpliffv35eWlk5MTByBFwNGFCsr671796qqqk6dOoW6BQBGxTBzQzKZHB0dvXTpUmVl5YKCggsXLjQ1Nd2+fVtNTY3+x4VfExAQ2Lt3b2lpaUZGhoKCwv79+2fMmHHs2LGWlhbUaWAkUa8n1dLSQh0ykiwsLMhkMpyrAxq4cePG8uXLJSUlUYcAOrVx48bIyMje3l7UIYDZDAwMhIWFmZubow4BdMfa2rqxsfH58+eoQ8C/REdHt7S0bNu2bUSejYWFRUlJydnZOT4+vr29PT4+3sTEJC8vb/369fz8/MrKyi4uLng8PiMjg0wmU79keHj448ePOjo61tbW8LcSvZGUlDx//vyZM2dSU1NRtwDAkBhgXxQSiXTv3r2zZ89WVVXp6+s7Ojoy2RQGg8F8/PjRx8fHx8enq6vLwsLiyJEjoqKiqKPACNixY0d5eXlmZibqkBG2adOmqqqqly9fog4BzKy5uXnGjBnBwcFmZmaoWwCdam9vFxYWvnbt2vbt21G3AKZy9+7dbdu2vXv3btq0aahbAN3R0tLi5eV9/Pgx6hDwPwYGBiQSCY/Hj+pRmpubExMTExIS4uPjGxsbv/kYVlbWadOm3bt3b8mSJZ8/SP/7h/weBnpdFApl9erVZWVlhYWFEyZMQJ0DAIOh6+sNyWTygwcPZGVld+zYsXjx4tLS0mfPnjHf0BCDwQgICJw4ceLt27dXrlxJTEyUkpKysbH5r7+NAANJSEhYsWIF6oqRZ2VllZOTU1BQgDoEMLObN29OmDDhr7/+Qh0C6NfkyZONjIwCAwNRhwBmc+PGjTVr1sDQEHzTzp07o6Oja2trUYeA/1NVVYXH43fu3DnaB5o6daq5ufnt27cbGhqsra3Z2Ni+fgyRSGxqalq6dKmDg8OnT59GOwn8JCwWe/Pmzf7+/n379qFuAYDx0O/cMCYmRl5efvPmzQsWLKioqLh165aMjAzqqNHFyclpbW1dWVl57dq1Z8+eSUpKOjk5dXZ2ou4Cv+n169dv377V1tZGHTLylixZMnv2bD8/P9QhgGkRicQbN25YWFhwcnKibgF0zcrK6sWLF4WFhahDAPOoqqpKT0/fsWMH6hBAp4yNjUVFRb28vFCHgP9z8eJFMTGx1atX0/KgL1++HB4e/uanqIse+vj4zJs3Lz8/n5ZV4DsEBQX9/f1v3boVERGBugUABkOPc8OKigp9fX0DAwNpaemSkpLg4OAxtbgVGxublZVVVVXVhQsXgoODZ82a5efnB6svM6KEhARubu4FCxagDhl5WCzW3t4+KCioubkZdQtgThEREfX19ba2tqhDAL3T1NSUkpK6ceMG6hDAPAIDA6dPn86UtwuAEcHCwrJnz56bN2+2tbWhbgGYDx8+3L1718nJiYWFhWYHbW9vLy4u/v5jiERidXX1woUL3d3d4VSOTqxZs2b79u02Njbv379H3QIAI6GvuWF3d7eDg4O8vHxzc3NKSkpkZOSY3caOg4Njz549VVVVFhYW9vb28+fPT0tLQx0Ffk1iYqKmpiY7OzvqkFFhaWk5fvx4uOQQjBIvL69169ZJSEigDgH0DovF7t69OygoqKOjA3ULYAY9PT03btzYtWsXDkdfPyQDurJjxw42NrZr166hDgGYS5cu8fDwbNmyhZYHTU5O/rwjCgsLCzs7OwcHx9e3LbOzs/Px8UVERFy/fp2WeeA7vL29J02aZGlpSf/bPABAP+joR6KnT5/Kysrev3//+vXreXl5mpqaqIvQmzhx4sWLF0tKSkRERJYuXbpz586uri7UUeCnkMnklJSU5cuXow4ZLVxcXDY2NlevXu3r60PdAphNcnLyy5cvYQEa8JOsrKzY2dnhbQwwIgIDA4eHh62trVGHALo2fvz4/fv3X758ub29HXXLmNba2urj4+Ps7Dxu3DhaHvfFixeioqKKiop6enrm5uY2NjZHjx719vYODw9PSkoqKipqaGgYGBgYHBxsbm4uLCy0t7enZR74Dm5u7qCgoMTERF9fX9QtADAMuthP+cOHDw4ODqGhoebm5pcvXxYQEEBdRI9CQ0MdHBxYWVmvX78OGwXQv4KCAkVFxcLCQnl5edQto+XDhw9iYmKXLl3atWsX6hbAVAwMDPr6+lJSUlCHAIbh4uJy586duro6WBAT/AkikSghIWFkZHT58mXULYDe9fb2zpw509ra+vTp06hbxi5HR8f79+/X1NTQeG74qxho3+Ffwriv69ixY56enjk5OXJycqhbAGAA6K83jIuLU1BQSEtLe/z48b1792Bo+F/MzMxevXplaGhoZGRkamoK+6XQuYSEBH5+/rlz56IOGUWCgoKbNm26cOHCfy0LDcBvKCwsjI2NdXR0RB0CGIm9vX1HR8eDBw9QhwDGFhYW1tjYaGdnhzoEMAAeHh4nJydvb++mpibULWPU27dvfX19Dx06ROdDQ0CHTpw4IS8vv2XLlqGhIdQtADAAlHPDwcFBBwcHfX19dXX1srIyuIbuhyZOnOjv74/H4wkEgoKCAoFAQF0E/lNiYuLy5cuZfnWkI0eONDQ0BAUFoQ4BzOP48eOKioqGhoaoQwAjERISMjMz8/T0/LzgFAC/ikKheHp6Ghsbz5w5E3ULYAz29vb8/PyHDx9GHTJGHTx4UEhIaOfOnahDAONhZWUNCQmpqqpyc3ND3QIAA0A21CgtLVVUVLx7925oaGh4ePjEiRNRlTCcFStW5Ofnz5kzZ9myZe7u7vRwpzn4wtDQEIFAYOLFDT8TFRXdtm3bqVOnPn36hLoFMIO8vLynT5+eOnUKi8WibgEM5siRI1VVVaGhoahDAKN6+PBhUVHRoUOHUIcAhsHJyXn+/Png4OCXL1+ibhlzMjMzIyIivLy8ODg4ULcAhiQhIXH+/PmzZ8+mpqaibgGA3qFZ3zAsLGzHjh0KCgr379+fPn067QOYAIVCuXLlysGDB3V1dYODg2HwSlfS0tI0NTVramrGwjULTU1NkpKSFy5csLW1Rd0CGJ6enl53d3dmZibqEMCQLCwssrOzy8vLWVlZUbcABkMmk+fPnz9nzhwYPYNfpampOTAwkJWVxcLCgrplrBgeHlZRUZkyZUpcXBzqlp/CuOsAfh+jvy4KhbJ69eqysrLCwsIJEyagzgGAftH6ekMSieTi4rJhw4aNGzcmJibC0PC3YbFYBweHjIyMoqIiFRWVkpIS1EXgfxITE0VFRcfC0BCDwQgJCVlbW585c2ZgYAB1C2BsBAIhLi7u1KlTqEMAozpx4kRdXd29e/dQhwDGExoaWlZWduLECdQhgPH4+/sXFxdfvXoVdcgY4unpWVlZ6e3tjToEMDYsFnvz5s3+/v59+/ahbgGArtF0btjV1aWnp3f16tW7d+/6+/uzs7PT8uhMSVlZ+cWLF0JCQosWLYqKikKdA/5PQkLCihUrUFfQjouLS09Pz8WLF1GHAAZGoVCcnJy0tLTGwg3+YJRISEhYWFi4ubnBZk3gl5BIJDc3tw0bNsyZMwd1C2A8s2fPdnFxOXLkyJs3b1C3jAnV1dWnTp06efLk7NmzUbcAhicoKOjv73/r1q2IiAjULQDQL9rNDd+9e6eurl5eXk4gEMzNzWl2XKY3derUxMREc3NzIyMjeKuTHvT09OTk5Iyp2cfUqVMPHTp09uzZd+/eoW4BjOru3bu5ubmXLl1CHQIY27Fjx96/f+/j44M6BDCSgICA2tpauNgQ/LbDhw+Li4tbWVnB1kyjjUQibdu2TVpa2snJCXULYBJr1qzZvn27jY3N+/fvUbcAQKdoNDcsLi5WU1PDYDBZWVnz58+nzUHHDlZWVn9//4sXL+7du9fBwQF+ZEErPT2dSCQuW7YMdQhNOTo6CgkJHT16FHUIYEj9/f1Hjx61srKSl5dH3QIYm6io6N69e11dXVtbW1G3AMbQ0dFx/PhxOzs7SUlJ1C2AUbGzswcHBxMIBLj3YrS5u7vn5OTcuXMH1rEFI8jb23vSpEmWlpaw4ygA30SLuWFaWpqGhsbs2bMJBMKMGTNocMSxycHBITw8PDAwcOPGjXCLFkJpaWlz5swRFBREHUJT7OzsHh4e9+7dIxAIqFsA4zlz5kxXV9fJkydRhwBmcOTIES4uLrh2DPwkV1dXLBYL73uBP6SoqOjm5nbkyJGcnBzULUwrJyfn9OnT58+fh3cZwcji5uYOCQlJTk6G+xUA+KZRnxvi8Xg9PT09Pb2YmBheXt7RPtwYt27dutjY2JiYmLVr1w4ODqLOGaNSU1M1NTVRVyCwbt26JUuWODo6whWv4Je8efPm0qVLJ06cmDJlCuoWwAx4eHjc3d39/f1hxzDwQ5WVlT4+PqdPn544cSLqFsDwDhw4oK6uvnHjxs7OTtQtTKi1tdXExERbW9vOzg51C2BCKioqLi4uTk5OpaWlqFsAoDujOzd8+vTp2rVrjYyMQkJC2NjYRvVYgEpTUzMxMTErK0tfX7+npwd1zpjT39+fn5+/ZMkS1CFoXLt2rbCw8Nq1a6hDAMOgUCg7d+6UlJSE0wAwgiwsLObPn79371644Qh83969e2VkZLZv3446BDADHA734MGDgYGBzZs3w3uoI4tMJm/evJlCoQQHB2OxWNQ5gDkdP35cXl5+y5YtQ0ND//x4V1cXiURCVQUAPRjFhSGePHliYmJiZWV17do1+P5OSyoqKvHx8bq6un/99dezZ884OTlRF40hmZmZQ0NDY3ZuyMnJaWZmdvjw4VWrVomLi6POAQwgKCgoKSkpPT0d3lsCIwiHw12/fn3x4sW3b9/etm0b6hxAp0JCQuLj49PS0lhYWFC3ACYxZcqU8PDwZcuWnTp1ClZLGEFHjhxJSUlJT0/n5+dH3QKYFisra0hIiIKCgpub2+nTp6kfTEtL27x5c1hYmKqqKsK2vr6+1v+vu7u7q6uLTCaTSKTu7m4uLi7q+f6ECRN4eHj4+Pj4+Pj4+fknT56MMBgwmdGaGyYkJJiZmW3evBmGhkgoKiomJiYuW7ZszZo1UVFRHBwcqIvGitTUVElJSSEhIdQhNEIikYqLi9PT09PS0lJTU/v6+lJSUnJzc21tbWNiYlDXAXrX2tp68OBBOzu7xYsXo24BzGbBggV2dnb79+/X09MbO9+Twc9ra2vbv3//7t27qRv3ATBSFi9e7OXlZWtrKyUltWHDBtQ5zODOnTvnzp27efOmsrIy6hbA5CQkJM6fP79nzx4dHZ1FixYdO3bswoULGAwGj8fTbG44ODhYXl5eXFxcVlZWW1tbV1dXV1fX1tb2z8dMmjQJg8HgcDheXt7+/v5Pnz5hMJje3t5/bnLAxcUlLi4uJiYmJiYmLS09b968efPmwTAR/B7saNzCk5mZqauru3bt2jt37uBwNNqyGXztxYsXOjo6Ojo6YWFhsOkYbWhqas6aNevGjRuoQ0bRwMDAy5cv09LS0tLSMjMz+/v72djYiEQi9eaRzZs3EwgETU3N4OBgc3Nz1LGArm3YsCEzM7OsrIyHhwd1C2BC/f39c+fOVVZWDgsLQ90C6I6FhUViYmJZWRmsbAhGw/79+69fv47H45ctW4a6hbGlpKTo6uo6OTm5u7ujbvl9ZWVlcnJypaWlsrKyqFtGElO+LgqFsnr16sLCQl5e3srKSuodykpKSrm5uaN30MrKyqysLAKBkJ2dXVVVRSQSOTk5ZWRkxMXFqbM/UVFRAQEBfn5+AQGBCRMm/NfzDAwMtLW1tba2fvz4saGhoa6urra2tra2tqKigjp5FBERUVZWVldXX7RokbKyMjs7++i9KMBMRn6WVFxcrK+vr6end/v2bRgaorVw4cKoqKiVK1fu2bPHz88PdQ7z+/Tp08uXL5lymaTu7u6XL18SCITk5OSsrKzh4WF2dnYikUhdvmd4eJiVlXXnzp2bN2/GYDDq6uq7d++2t7fX1NQUERFB3Q7oVHh4eFhY2LNnz2BoCEbJuHHjfH19dXV1N27cuGbNGtQ5gI7ExcXdvXs3KioKhoZglHh6etbV1ZmYmKSlpcnIyKDOYVSFhYV//fWXkZHR55tGAaABTU3NZ8+eNTc3f17WsKCgoK2tjY+PbwSP8vHjx+fPn8fGxj5//vzjx4/jxo1TUVFZs2aNgoLCvHnzZs2a9RtraHBxcYmIiHzz/KuxsbG0tLSoqCg7O/vChQstLS2cnJwaGhp6enr6+vpz5swZidcEmNYIX2/Y1NS0aNEiMTGx58+fw72xdOLZs2dr1qw5c+bMwYMHUbcwudTU1KVLl9bV1YmKiqJuGTF4PN7BwaG6uhqDwbCxsX2xTjAVGxvb/Pnz09PTP79n1d/fr6SkJCgomJSUBOtGga81NDTIy8ubmZldv34ddQtgclu3bo2JiSkuLoYNuwFVW1ubvLz8kiVL7t+/j7oFMLP+/n49Pb3Xr1+npaVJSkqizmE8lZWVmpqac+fOffr0KaMv186U1+VhmPF1NTc3b9myJSEh4YutjXA4XEhIiJmZ2Z8for6+PiIiIjw8PCcnh5WVVV1dXV9ff8mSJfPnz6flYt+vX78mEAhxcXHPnz9vb28XExNbt26dqanpggULaNYAGMhIXg/Y09NjYGDAzc39999/w9CQfhgYGHh6erq4uISEhKBuYXJpaWnTp09npqEhBoPR0NDo6+vDYrEUCuWbQ0MWFpYJEyY8fvz4nxe6jxs3LiQkJDs7+9KlSzSMBYyBTCZv2bJlypQp1CVjABhVV69e5eXl3bJlC+ytDKhsbGywWOy1a9dQhwAmN27cuKdPn4qIiGhra7979w51DoOpra3V0dGRlJT8+++/GX1oCBhFeHi4tLR0cnLy1/uh43C42NjYP3nyrq4uX19fNTU1UVHR06dPz5kz59GjR21tbYmJiU5OTgsWLKDxDoGSkpKWlpYPHjz48OFDZmbmxo0bnzx5snDhwpkzZx4+fPj169e0jAH0b8TmhmQyecOGDe/fv4+JiaGu0wnox969e+3s7Hbs2JGdnY26hZlRrzdEXTHCuLm5b968+fVfn59RKJSHDx9+ve2AoqKiq6vrkSNHcnJyRrkRMJhz585lZGSEhISMGzcOdQtgfjw8PCEhIUlJSXBxK8BgMAEBAZGRkcHBwbA2PKCBCRMmxMbG8vLyampq1tTUoM5hGFVVVZqamoKCgrCYCaCZT58+RUVFdXd3E4nErz9LJBJjYmJ+7w3IrKysbdu2CQkJOTk5SUhIREVFNTc33759e82aNfTwx5uFhWXRokXu7u7V1dV5eXmmpqZ3796VkpJavnx5aGgodccVADCUEXLs2DEODo7s7OyRekIwsohEor6+voiISEtLC+oW5jQ0NMTNzR0YGIg6ZFSYm5t/800wLBbr7e39X19FIpGWLl0qLS3d1dVFy1pAzzIyMtjY2Dw9PVGHgLHlxIkTXFxcpaWlqEMASpWVldzc3IcOHUIdAsaW9vb2hQsXTp06tbi4GHULAygrKxMSElJWVm5tbUXdMmJKS0sxGAzz/R3EfK8rPDx8/Pjx/7WhaEFBwc8/FYlEioqKWrRoEQaDmTNnjoeHB6P8kSaRSPHx8SYmJmxsbIKCgidOnGCUcjB6RuZ6w+joaHd396tXry5cuHBEnhCMOBYWlpCQEA4ODiMjo39u0A5GSm5ubl9fn6amJuqQUeHs7IzD4bBY7D8/yMbGZmpqam9v/19fhcPhHjx40NPTs3nzZgrcIQgwmJaWFlNTU11d3X379qFuAWPL0aNH58+fb2Ji0tPTg7oFoNHX12diYiIjI+Pq6oq6BYwtkyZNiouLk5CQ0NLSysrKQp1D19LT0zU0NKj3io7sHhQA/AwTE5OSkhJlZeWv12dnZ2fH4/E/8ySDg4NXr16VkJBYu3atsLBwZmZmeXm5s7Mzo/yRxuFw2tra4eHhtbW1W7du9fb2FhUVdXBwaGxsRJ0GkBmBuWF1dbWFhcXWrVutrKz+/NnA6Jk0adLDhw8LCgoOHTqEuoUJpaamTps2bdasWahDRhiZTPbx8VFXV/9i/QE2NjYJCYmbN29+/8unTp0aERGBx+M9PDxGMxMwACKRuH79ei4urrt37+JwI7m6LgA/xMrKGhkZ2dnZCW9jjFk2NjaNjY1hYWE0XkMKAAwGw8vLGxcXp6qqunz58sjISNQ5dOrBgwc6OjrLli2D25MBQqKiounp6UePHsXhcP+cHg4PDz99+vT7Xzs0NOTn5zdr1ixnZ2dDQ8OqqqqIiAjqJYeMSFhY2MPD4927d6dPn378+LGkpOS+fftaWlpQdwEU/vB6xaGhISUlJSUlpYGBgRG4/BGMvuDgYCwW++zZM9QhzEZfX9/MzAx1xQirqqpatmwZKyurvb19b2+vtrY29XQLh8ONGzeuoqLiJ5/Hy8sLh8NRlwUBY5aDgwMXF1d+fj7qEDB2EQgENja2c+fOoQ4BtHb58mXqqvaoQ8CYRiQSbW1tcTjcuXPnyGQy6hw6QiaTT506hcVi9+/fTyKRUOeMPOa7n5eKWV8XVVZWloiIyD/vWWZhYens7Pzmg8lk8oMHD8TExDg4OPbs2dPY2Ejj2tE2ODh45cqVadOmcXNzHz16tLe3F3URoKk/nRu6uLhwc3NXVlaOSA2gjU2bNgkICLx//x51CPMgEom8vLw+Pj6oQ0bM0NCQh4cHBweHgoJCTk4O9YNv3ryhbmmHxWKjoqJ+6Qk3bNjAx8dXXV09CrGAAVDfsQgJCUEdAsa6ixcvsrCwJCYmog4BtJOWlsbGxnbmzBnUIQBQKBTKpUuXWFlZqcsmoG6hC11dXWvWrGFjY2OmH6S/wKzzNWZ9XZ91dnauX7+eeu5D/efjx4+/flhOTo6amhoOh9u6devbt29p30kz/f39Fy5cmDhxopCQUFBQELz/MXb80dwwLS2NhYUlICBgpGoAbXR2doqLi+vp6cH/6iOFumUw0/ytmZGRISsry8XF5eHhQSQS//mpixcvYjCYY8eO/epz9vb2KikpSUlJwcK6Y1BKSgo7O7uTkxPqEAAoFApl/fr1fHx8r169Qh0CaKGmpkZQUHDt2rXwMw+gH4mJiQICAjIyMj9/6wazKi4ulpKSmjZtWnp6OuqWUcSs8zVmfV1fCAwM5OTkZGNjw+FwO3fu/OenOjo6duzYgcPhNDQ08vLyUBXS2IcPH3bu3MnCwrJw4ULY7mmM+P0Vprq7uzdt2rRq1SpY1pDh8PLy3r17Nz4+PiAgAHULk0hLS+Pn55eRkUEd8qf6+vpcXFyWLFkiICBQVFTk7Oz8xarADg4Ohw8fPnny5K8+Mzc399OnTz99+vTXX38NDg6OWDGge5WVlWvXrl29evW5c+dQtwCAwWAwt2/flpKS0tPT+/DhA+oWMLra29tXrlwpIiJCveQZdQ4A/0dLSysvL2/8+PFKSkr+/v6oc9CgUChXr15dsGDBlClT8vLy1NXVURcB8G07duwoLCycM2cOmUyOjo7+/PFHjx7JyMg8ffr0/v37aWlpioqKCCNpSUBAwM/PLy8vD4fDKSkpHTt2DE7umN7vzw0PHTrU398PgycGpaam5uTkdPDgQdgXaUSkpaUtWbKE0c9Jnj17JiMjExAQ4OPjk5SU9M09XlhYWNzd3X9vU4upU6fGxMSUlZVt2bKFTCb/cS9gAK2tratWrZKUlAwKCoK9UACd4OLiioqKYmFhMTQ07O/vR50DRsvw8LCpqWlvb++TJ09gjwVAb6ZPn56enr53715bW9u//vprrL2N8f79e0NDw/379x86dCg5OXnatGmoi8DvMzQ0DAgIYO6f7aWlpXNychwdHd+/f19ZWdnW1mZsbGxsbKynp1deXk69l3mskZeXJxAIFy9e9PLymj9/PvX2O8CsfvMsLjs728/Pz8vLS0BAYGSDAM2cOHFCUFBw586dqEMYHoVCIRAIS5YsQR3y+1paWiwsLAwNDRcuXPjq1Stra+tRmoHKyMhEREQ8fvzYxcVlNJ4f0JWenp6VK1dSKJRnz56NGzcOdQ4A/8PPzx8dHf369WtLS0vmPtUZsygUytatW3Nzc/F4vIiICOocAL6BjY3N3d09KSmpqKhIRkYmODgYdREtUCiUGzduyMjIvHr1Kj09/fjx41/c2gIYjpyc3O7du5WVlWNjY1G3jCJ2dnZPT8/4+PiQkJB58+a9fPny+fPnt27dmjRpEuo0ZHA4nJ2dXVlZmYiIiJqa2pkzZ0gkEuooMDp+497mwcFBGRkZfX39kbxhGqCQkpKCxWIjIiJQhzC2oqIiDAZTUFCAOuR3kMnkoKAgPj4+MTExPB5Pm4Peu3cPh8O5ubnR5nAAif7+/qVLl06ZMgVWkQN0KyUlhYODY+fOnbDyHfOxt7dnZ2d//vw56hAAfqynp8fe3h6Hw+no6DD3X5plZWVLly5lYWFxdHTs6+tDnUM7zLoO4OfXVVZWZmJigsViFy1alJKSgrprtAwNDe3btw+Lxa5fv769vR11Dh0hk8menp4cHBxLliypr69HnQNG3u9cb3jhwoV37975+fmN7AQT0J6mpubWrVsdHBx6e3tRtzCw1NRUXl7euXPnog75ZTU1NStWrNi6deu6detKSkp0dXVpc1xzc/MbN26cOHHiwoULtDkioLHh4WETE5PCwsLY2FgpKSnUOQB8m6amZnh4+K1bt/bu3Yu6BYykI0eOXL9+PSgoSEdHB3ULAD/Gw8Pj7e1NIBCam5vnzp3r5OTU1dWFOmqEtbe329vby8vLd3V1ZWdne3p6wo0IzERGycIVKgAAIABJREFURiY8PDwrK4uLi2vp0qU6OjoFBQWoo0bY+/fvly1bFhgYeOfOndDQ0LF8meHXsFiso6PjixcvPnz4oKSklJKSgroIjLBfnhs2NjZ6eHgcPnx4xowZoxEEaMzDw6O/v9/DwwN1CANLS0vT0NBgrJssiESit7e3vLz8hw8fsrKy/P39abz209atW728vJydneEdCOZDIpE2b96cnp7+/Pnz+fPno84B4HtWr1794MGD69evnzhxAnULGBleXl5nz5718/MzMzND3QLAL1i0aFF+fv7ly5eDgoKkpKSuXLnCHFsNDAwMXLx4UUpKKjw83NfXNzc3V1lZGXUUGBULFy5MTEyMj4/v6OhQVlY2NTV9/fo16qiRQSAQlJSUqOdNFhYWqHPolLy8fE5Ojqampra29rlz5ygUCuoiMGKwv/qf08LCgkAglJeXc3JyjlIToLFLly4dOXKkoqJCTEwMdQvjoVAo06ZNc3R0PHDgAOqWn1VYWGhlZVVaWurs7Hz48GF2dnZUJW5ubq6urv7+/jt27EDVAEbW8PDwli1bnjx5gsfjNTQ0UOcA8FNu3rxpZWXl7u5+6NAh1C3gj1y5cmXv3r1Xr161tbVF3QLAb+ro6HB3d/fx8eHj4zty5Mi2bdsQ/qj2JwYHBwMCAjw8PLq7u+3s7A4dOjRhwgTUUWiUlZXJycmtWbOGl5cXdctI6urqevLkSWlpqays7D8/TqFQIiMjjx49Wltbu3Xr1hMnTggJCaGK/HNBQUHW1tY6Ojr37t2bOHEi6hx6R6FQrly5cuDAgY0bNwYEBDDoty/whV+bG+bk5CxcuDA8PNzY2Hj0mgCNDQ8Pz507d968eeHh4ahbGE91dbWUlFRWVpaqqirqlh/r7+93c3Pz9PRcvHhxQEDA7NmzURdhTp486ebmdvnyZQcHB9Qt4E99+vTJ1NQ0KSkpKipq2bJlqHMA+AXXr1+3s7M7duyYq6sr6hbwm6g3xJw/f97JyQl1CwB/6uPHjxcvXvT29ubl5d21a5e9vf3kyZNRR/2s7u7u27dvX7hw4ePHj5aWlidPnhzjOya/e/du9+7dqCtGi6+v7zfvRCSTyQ8fPnR2dm5pabGzs3N2dma4e3spFIqrq6ubm5udnd3ly5dxuN/cVHYMio+PNzY2VlZWfvjwIQxbmcEvrYaopaWlrq4+0mssAvSioqKwWOzLly9RhzCeO3fucHBwDA4Oog75seTk5FmzZk2cONHLy4tEIqHO+Z+rV69isVhnZ2fUIeCP9PX1rVixYuLEiRkZGahbAPgdd+/eZWVltbW1hW1SGJGHhwcWi/Xy8kIdAsBIqq+vd3JymjBhwvjx4+3s7EpKSlAX/UBBQYGNjQ03N/ekSZNcXFyamppQFwHEPn365O/vP2XKlPHjxzs7O3d3d6Mu+lnUe2hYWVkDAgJQtzCkgoICYWFhWVlZ2CmFCfzC3DAtLQ2DwSQnJ49aDEBJVVUV9sj+DTt37ly8eDHqih9ob2+3trbGYDCGhoYNDQ2oc77Bx8cHh8MdOnQITtcZVGdnp7q6uoCAQH5+PuoWAH5faGgoGxubtbU1Xb25Ar6PTCbv27ePhYXl5s2bqFsAGBVdXV2enp6SkpIYDEZVVTUwMJDe9nJtbW319fWlLlwoLS3t5eXV09ODOgrQkZ6eHg8PjwkTJggICHh4eND/JRefPn0yMjLi5uaOjY1F3cLA6uvrZWVlxcXFa2pqULeAP/ILc8MlS5bo6OiMXgpA6/nz5xgMJjU1FXUIg5k3b56joyPqiu8JDw8XEBCYNm1aZGQk6pbvCQoKYmVl3bJly6dPn1C3gF/z9u1bOTk5YWHh8vJy1C0A/Km///6bg4PD1NR0YGAAdQv4scHBwU2bNrGzs4eHh6NuAWB0kcnkxMTEDRs2cHJysrOzGxoaBgcHt7W1IUz6+PHjrVu39PT02NjYuLi4Nm/enJqaCu8Bg//y8eNHZ2dnTk5OUVFRf39/IpGIuujbBgcHV69ezcPDk5SUhLqF4bW3ty9cuHDq1KnFxcWoW8Dv+9n1DePi4vT09BhlETfwe5YuXcrCwpKYmIg6hGH09PRMmjQpLCxs3bp1qFu+oa6ubteuXc+fP7eysrpw4QL9r0UdHx9vYmKipKQEC2EwkOLiYgMDg4kTJz579uybq9sAwHBSUlKMjIxkZGT+/vtvfn5+1DngP7W3txsZGRUWFkZEROjo6KDOAYBGuru7nzx5Eh4e/vz5cxKJtHDhQn19fR0dHSUlJVZW1tE++tDQUG5u7vPnz/F4fE5ODhsbm56enqmpKXXOMtpHB0ygvr7+9OnTt27dkpKSOnnypLGxMRaLRR31P4ODg6tWrSooKMDj8bD394jo6uoyMDCorq5OSUmZM2cO6hzwO352bqilpcXOzo7H40c7CCCUnJyspaX14sWLBQsWoG5hDElJScuXL29oaBAWFkbd8i9kMvnGjRuOjo7Tpk3z9/dnoB0qSkpKDA0NeXh4nj17Bht807+4uDhTU9MFCxZERkYy2RaBYIx7/fr1ypUrSSTSs2fP6GELKfC12tpaAwOD7u7up0+fKigooM4BAIHOzs6EhAQ8Ho/H4xsbG8eNG7dgwQJ1dXVFRcV58+aJi4uPyDYOZDL5zZs3RUVF+fn5BAIhJydnYGBgxowZenp6enp6y5cvp/93pgEdqqysPH78eGRk5MKFC8+cOUMnZytDQ0NGRkaZmZnJycny8vKoc5hHX1+frq5ubW1tWlqahIQE6hzwy35qbpifn6+kpJSQkLB8+XIaNAGEVFVVRUVFw8LCUIcwBnd394CAgLdv36IO+Zfi4mIrK6uCgoL9+/e7urpycHCgLvo1DQ0NBgYGHz58iIiIUFdXR50D/tOlS5cOHjxoaWnp6+vLxsaGOgeAEdbS0rJ69eqampqIiAg6OZ8BnxEIhHXr1omIiERHRwsJCaHOAQC9ysrKzMzM9PT0rKys6upqMpnMw8MjIyMzc+ZMcXFxMTExYWFhPj4+fn5+Pj4+Xl7eL0aKJBKpq6ur7f9raGiora2tq6urqakpLy/v7+/H4XDS0tKLFy9WV1dXU1ObNWsWohcKmEpOTs6hQ4cSExO1tbU9PDyUlJQQxpBIpE2bNkVHR+PxeDgHGXHd3d3Lly9vaWlJT08XFRVFnQN+zU/NDc3NzUtLSwsLC+nqEmIwGkJDQzdt2vTq1St4H+BnUK+MCw0NRR3yfwYHBz08PM6ePausrBwYGCgjI4O66Dd1d3dv3rw5NjbW09PT3t4edQ74Um9v7/bt2x8+fHj27NkDBw6gzgFgtPT391taWj5+/NjDw2P//v3wUxCduHLlipOTk4GBwd27d+G+SAC+1tvbW1ZWVlxcXF5eXltbS50Adnd3f/EwVlbW8ePHd3d3k0ikLz7Fy8srJiYmLi4+c+bMOXPmyMvLy8rKjhs3jlavAIwtBALh0KFDGRkZxsbGp0+flpKSQpKxa9euu3fvxsbGLlmyBEkA02tra1u6dCmZTM7IyIA1qRjLj+eGDQ0NM2fOvHHjhoWFBW2aAEJEIlFSUnLNmjXe3t6oW+gdhUIRFBQ8evSog4MD6hYMBoNJT0+3traur68/duyYk5MTCwsL6qI/QqFQzp8/f+TIEVNT08DAQG5ubtRF4P9UV1cbGRk1Nzffv38fFhQDY0FAQMCePXtWrlwZFBQE9+OjNTg4aGNjc+fOnYMHD545c2ZE7sEEYIzo6+v7fDlhT08PkUgkEok9PT3jx49nZWVlY2MbP348Hx/f5MmT+fj44OcuQHsJCQmOjo7l5eUbNmxwc3Oj8YJF586dO3z4cGRk5Nq1a2l53LGmqalJVVV15syZcXFxDHdX3Fj247nhyZMn/f393759y87OTpsmgJanp+fp06ebmprgTcXvq6qqkpaWpoflIDs7O52dnQMDA1euXOnj48NMe1PExcWZm5sLCwuHh4dLS0ujzgGYyMjI7du3z549OzIycvr06ahzAKCRpKQkMzMzQUHBiIgIWNIblaqqKhMTk8bGxgcPHsCbFgAAwHzIZPLDhw9dXFwaGhosLS1PnTolKChIg+OGh4dv2LDh0qVLdHI5CHMrKirS0NBYu3btnTt34E4ORvGD92nJZPLt27ctLS1haDh2WFpaDg4ORkZGog6hd1lZWRwcHMhXzI2OjpaTk3vy5MmdO3eePn3KTENDDAajq6ubm5vLwcGhpKQUEBCAOmdM6+3t3bFjh4mJycaNG9PS0mBoCMYULS2tvLy88ePHKysr+/r6/uSecmAE3bx5U1FRkYODIy8vD4aGAADAlHA4nImJSUVFxdWrV6OioiQkJFxcXL6+xX5kFRQUWFpa7tmzB4aGtCEvLx8eHn7//v2LFy+ibgE/6wdzw5iYmPr6+m3bttGmBtADfn7+1atXBwYGog6hd1lZWUpKSgivr37//v26devWrFmjpaVVVlbGrCsJiImJZWZmOjk52djYrF27trW1FXXRWJSbm6ukpPTw4cMHDx74+vrCbQVgDJo+fXp6evqBAwfs7Oz09fXfv3+Pumis6Orq2rhxo5WV1fbt2wkEAiymDgAAzI2dnd3a2vr169dHjx718/OTkJA4d+7c4ODgd77k6zU6f1JHR4exsbGqqirMsGhJT0/vzJkzLi4uz58/R90CfsoP5oY3btxYtmwZbJg11lhZWREIhIqKCtQhdC0rK2vRokVIDk2hUAICAmbPnl1UVPT8+fPg4GA+Pj4kJbTBysp68uTJxMTE/Px8eXl5PB6PumgMIRKJ7u7uixcvFhUVLSsrMzMzQ10EADLU70UpKSmvXr1SVFR89uwZ6iLm9/z5c1lZWQKBkJSU5O3tDbe/AADAGMHNze3s7FxTU7N9+3ZXV1cpKamAgID/mg+amJj8xgSKTCabm5sPDw+HhYWxsrL+cTL4BU5OTuvWrdu4cWNdXR3qFvBj35sbtre3x8TEwMWGY9Dy5ctnzJhx79491CH0q6enp6ysDMncsLq6WktLy9bW1tLSsqioSFtbm/YNSGhqahYVFWlqaurr61tYWMCFhzSQm5uroqJy+vTps2fPxsXFCQkJoS4CAD11dfXCwkIdHR1DQ0Nzc/MPHz6gLmJObW1tW7Zs0dXVVVdXLyoqWrp0KeoiAAAAtMbHx+fh4VFVVaWvr29razt37tyIiIgvVgvJyMh4/Pjx2rVrc3Nzf+nJz507l5SUFBkZKSAgMKLV4MewWOyNGzcEBQUtLCx++3JRQDPfmxs+evSIhYVl1apVNKsBdIK6tERYWBjqEPr18uVLEomkqqpKy4MODw+fO3du7ty5nZ2d2dnZ3t7eY223u4kTJ96/f//p06epqanUdx1RFzGtgYEBFxcXVVVVHh6egoICR0dHWLcYgM94eXmDg4NjYmIyMjJmz54dEBAAKx6OrIiICBkZmfj4+MjIyNDQ0EmTJqEuAgAAgIyIiIi/v39paamysrKZmZmqqmpiYuLnzx48eJCVlfXTp086OjqVlZU/+Zz5+fknT550d3dHvsXlmDV+/PiIiIicnJyzZ8+ibgE/8L25YXh4uIGBwYQJE2hWA+jH+vXra2pq8vPzUYfQqaysrBkzZggLC9PsiJmZmQoKCm5ubq6urtTF5mh2aHpjYGBQUlJiZma2e/dufX396upq1EXM5unTp7Kysv7+/r6+vmlpabNnz0ZdBAA90tfXLykp2bRp0+7du1esWAGLe4yIV69e6evrr1+/3sjIqKKiYt26daiLAAAA0AVpaeng4OCioiJRUVFtbW0dHZ3c3NyYmJjMzEwikUgikXp7ezU1NX/mvte+vr6NGzcuWrRo3759ox8O/pOsrKy7u7urq2t2djbqFvA9/zk3bG1tTU5ONjExoWUNoB8qKioSEhJwyeF/yc7OptlNyt3d3Q4ODhoaGjNmzCgrK3N2dmZhYaHNoenWhAkTfHx8UlNTGxoa5OTkDhw40NXVhTqKGVRUVOjp6a1atUpFRaW8vNzKygouMwTgO8aPH3/lyhUCgdDW1jZv3jwHB4f29nbUUYyqs7PT0dFx7ty5jY2Nqampvr6+vLy8qKMAAADQFzk5ufDw8OTk5L6+vgULFmzYsOHzmRGRSOzo6Fi6dGlzc/P3n8TFxeXjx48hISE43A/2ewCjbd++fVpaWlu2bPn+1jcArf/8/yQ6OpqVldXAwICWNYCuGBkZ/f3336gr6BGFQnnx4gVt5oZPnz6Vk5O7e/eur69vbGysmJgYDQ7KKKiLXgUGBgYHB0tISHh7e8PqGL+to6PDxcVFQUHhw4cPqampYWFh06ZNQx0FAGNYtGhRbm6uj49PaGiolJTU9evXiUQi6ihGQiKR/P39paSkgoODr1y5UlBQoKGhgToKAAAA/Vq6dGlmZub+/fu7u7v/+fP/8PBwU1OTlpZWR0fHf31tdna2j4+Pt7c3LW8dA/8Fi8Xevn27paXl1KlTqFvAf/rPuWFsbKympiYPDw8tawBdWblyZVVVVU1NDeoQulNdXd3a2jrac8Pm5mYLC4tVq1apqqq+evXK2tp6VA/HoHA4nIWFRWVlpbm5+YEDBxQVFf/++29YaOyX9PX1eXh4SEpK3rlz5/r167m5uUuWLEEdBQCDweFwVlZWb9682bNnj6Oj46xZs76z7SP4jEKhREdHKyoq2tnZrV27tqKiYteuXXBNPQAAgB8iEomPHz/++oLB4eHh169f6+rq9vX1ff1Vnz592r59+4oVKzZt2kSTTPBjQkJCp0+fPn/+fEFBAeoW8G3Yb55gk0gkQUHB48ePOzg40L4J0Inh4WEBAQF3d3dbW1vULV96+PBhVFQUqqO3t7fn5eVpaWmNxrnN9OnTT506dffu3f3790+YMMHX11dXV3fEj8KUKioqjh8//vDhQ0VFRTc3t5UrV6IuoncDAwN+fn4eHh4DAwMODg4HDhyABW0B+HM1NTVubm4hISHS0tInT540NjaG+/2/RqFQ/v777xMnTpSVlW3YsOHEiROzZs1CHQUAAIBh+Pv729jYkMnkb36WlZVVW1s7KiqKjY3tnx93dXX19PQsKSmBu7joCplMXrJkyfDwcFZWFtw8Toe+PTckEAgaGhqvXr2SkpKifROgH0ZGRsPDw9HR0ahDvnT06NErV64w331MVVVVLCwsIiIiycnJO3bsuHjxIlzz+6sKCwuPHz8eHR29aNGiY8eO6enpwRn71/r6+m7evHnu3LnOzk5bW9uDBw/y8/OjjgKAqVRWVrq6uoaHh8vJyR08eNDU1PSLU5cxi0gkPnz48Ny5c4WFhevWrXN1dZWRkUEdBQAAgJEMDAyIiYl9/PjxO7cZsbCwmJqa3rt37/Mcqr6+fvbs2SdPnjxw4ACtSsHPKikpUVRUDAwMtLS0RN0CvvTtueHx48dDQkLgBlUQEBC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+ "text/plain": [ + "" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# -- 1. Create shared inventory task --\n", + "\n", + "# Wrap load_inventory() with delayed()\n", + "# At this point, Dask does NOT run the function\n", + "# Instead, it creates a task describing what should be done later\n", + "# The resulting inventory_task will be shared by all station-specific waveform retrieval tasks.\n", + "inventory_task = delayed(load_inventory)(stations)\n", + "\n", + "# -- 2. Create one processing branch for each seismic station --\n", + "\n", + "pick_tasks = []\n", + "# Loop through the station names defined earlier\n", + "for station in stations:\n", + "\n", + " # Task to retrieve waveform\n", + " # depends on inventory_task\n", + " # the station inventory must be loaded before (dask knows this)\n", + " waveform_task = delayed(retrieve_waveform)(station, inventory_task)\n", + "\n", + " # Task to correct waveform\n", + " # depends on waveform_task\n", + " corrected_task = delayed(correct_waveform)(waveform_task)\n", + "\n", + " # Task to pick arrival time\n", + " # depends on corrected_task\n", + " pick_task = delayed(pick_arrival)(corrected_task)\n", + "\n", + " # Save the final task\n", + " # Each station produces its own pick_task\n", + " # Because the station branches do not depend on one another\n", + " # dask can potentially process several stations in parallel\n", + " pick_tasks.append(pick_task)\n", + "\n", + "# -- 3. Combine the results from all stations --\n", + "\n", + "# Because collect_picks() receives the complete list of pick tasks\n", + "# it will run only after every station-specific branch has finished\n", + "workflow = delayed(collect_picks)(pick_tasks)\n", + "\n", + "# -- 4. Visualize task graph --\n", + "\n", + "# Display the workflow as a Directed Acyclic Graph (DAG)\n", + "# rankdir=\"LR\" arranges the graph from left to right\n", + "workflow.visualize(rankdir=\"LR\")" + ] + }, + { + "cell_type": "markdown", + "id": "f12b20d0", + "metadata": {}, + "source": [ + "The graph shows one shared inventory task followed by several independent station-processing branches. Within each branch, waveform retrieval, correction, and arrival picking must occur sequentially. However, the separate station branches can be processed in parallel because they do not depend on one another." + ] + }, + { + "cell_type": "markdown", + "id": "383021bb", + "metadata": {}, + "source": [ + "This example serves as an analog of seismic workflows in cloud environments, where tasks such as waveform retrieval and preprocessing for multiple stations can be executed independently — a classic case of what's known as an **embarrassingly parallel** problem. In such problems, individual tasks require little to no communication with one another, making them ideal candidates for concurrent execution across distributed computing resources. In the context of seismology, each station's data can be fetched, corrected, and processed in isolation before being merged downstream for higher-level analysis. By leveraging cloud-based parallelization frameworks like Dask, we can significantly reduce total computation time through intelligent task scheduling and resource allocation." + ] + }, + { + "cell_type": "markdown", + "id": "bb6a112b", + "metadata": {}, + "source": [ + "### **3. DASK array (chunking)**" + ] + }, + { + "cell_type": "markdown", + "id": "49140f27", + "metadata": {}, + "source": [ + "Dask array represents a large, potentially out-of-core, multi-dimensional array composed of many smaller `numpy` arrays (called ***chunks***) arranged in a grid.\n", + "\n", + "The `dask.array` module is a powerful tool for handling large, multi-dimensional arrays that don't fit in memory, by breaking them into smaller pieces (called chunks) that are processed in parallel. Conceptually, it extends the familiar `numpy` API, allowing scientists and engineers to work with big data as if they were working with in-memory arrays — all while abstracting away the complexity of parallelization and memory management.\n", + "\n", + "Think of a Dask array as a grid of many small `numpy` arrays, seamlessly stitched together. But unlike NumPy, where operations happen immediately, Dask builds a **lazy execution graph**: it constructs a task graph first, and only executes the computation when explicitly told to.\n", + "\n", + "**Key features of dask array:**\n", + "- **Lazy evaluation:** All operations (e.g., +, mean, slicing) construct a task graph first. This avoids unnecessary intermediate results and optimizes performance.\n", + "- **Chunkwise operations:** Dask processes one chunk at a time using familiar NumPy-style syntax, enabling computations on datasets much larger than memory.\n", + "- **Scalable execution:** The same code can run on your laptop or scale to a multi-node cluster without modification — perfect for both prototyping and production workloads.\n", + "\n", + "\"DASK_array\" " + ] + }, + { + "cell_type": "markdown", + "id": "2b303516", + "metadata": {}, + "source": [ + "Scientific datasets are often stored as large multidimensional arrays. Examples include seismic waveforms organized by station and time, satellite images, climate grids, and three-dimensional geophysical models. When an array becomes too large to fit comfortably in memory, processing it as a single NumPy array may become difficult or impossible.`dask.array` addresses this problem by dividing a large array into smaller pieces called **chunks**. Each chunk behaves like a NumPy array and can be processed independently. Dask coordinates these chunk-level calculations and combines the partial results to produce the final output.\n", + "\n", + "In the following example, we will:\n", + "\n", + "1. Create a two-dimensional Dask Array.\n", + "2. Divide the array into manageable chunks.\n", + "3. apply a simple mathematical operation.\n", + "4. Use `.compute()` to execute the task graph and return the result." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "41c35cb5", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "\n", + " \n", + " \n", + " \n", + " \n", + "
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" + ], + "text/plain": [ + "dask.array" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import dask.array as da\n", + "\n", + "x = da.zeros((1000, 1000), chunks=(100, 100)) # modify chunk size to compare\n", + "\n", + "# Apply a simple operation: add 5 to each element\n", + "y = x + 5 # This builds a task graph, but does not execute anything yet\n", + "\n", + "y" + ] + }, + { + "cell_type": "markdown", + "id": "bcb0ba31", + "metadata": {}, + "source": [ + "Here we create a 1000×1000 Dask array split into 100×100 **chunks**, so the array is represented as a 10×10 grid of smaller NumPy blocks rather than one large array in memory. Adding `5` to it (`y = x + 5`) does not compute anything. It records the operation in a **task graph**, one task per chunk. Displaying `y` shows the array's shape, chunk layout, and data type alongside the graph that will produce it. Try changing the `chunks` argument to see how the number of tasks changes." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "da16cc15", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "5.0" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Take the mean (also lazy, still no computation)\n", + "result = y.mean()\n", + "\n", + "# Trigger the actual computation across all chunks and cores\n", + "result.compute()" + ] + }, + { + "cell_type": "markdown", + "id": "39bd3e66", + "metadata": {}, + "source": [ + "Calling compute() tells Dask to:\n", + "\n", + "1. Create and process the individual chunks.\n", + "2. Add 5 to the values in each chunk.\n", + "3. Calculate a partial result for each chunk.\n", + "4. Combine the partial results into the final mean." + ] + }, + { + "cell_type": "markdown", + "id": "702562a3", + "metadata": {}, + "source": [ + "### **4. Dask dataframe (partitioning)**" + ] + }, + { + "cell_type": "markdown", + "id": "b692801a", + "metadata": {}, + "source": [ + "Dask dataframe is a large table of data composed of many smaller `pandas` DataFrames (partitions), split along the index.\n", + "\n", + "A Dask DataFrame allows you to work with tabular data that is too large to fit into memory by dividing it into many smaller `pandas` DataFrame partitions, each of which is processed in parallel. If you're already comfortable using `pandas`, transitioning to `dask.dataframe` is relatively smooth — it implements a large subset of the familiar Pandas API and behavior.\n", + "\n", + "Imagine having 100 GB of CSV files. Loading all of that into memory with Pandas would crash most machines. Dask sidesteps this limitation by lazily loading and operating on partitioned data, one chunk at a time, allowing you to analyze enormous datasets even on a laptop.\n", + "\n", + "**Key features of dask dataframe:**\n", + "- **Pandas-compatible interface:** Uses similar syntax for filtering, grouping, and aggregating data.\n", + "- **Lazy evaluation:** Operations are not executed until .compute() is explicitly called.\n", + "- **Parallel execution:** Each partition is processed independently, enabling significant speed-ups on multi-core machines or clusters.\n", + "- **Out-of-core computation:** Easily handles data that exceeds available RAM by streaming in partitions as needed.\n", + "\n", + "\"DASK_array\" " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "af083ea2", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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stationpeak_amplitudesnr_db
0STA012.34355811.035674
1STA040.3518536.168342
2STA031.5624615.276518
3STA021.0075996.092468
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" + ], + "text/plain": [ + " station peak_amplitude snr_db\n", + "0 STA01 2.343558 11.035674\n", + "1 STA04 0.351853 6.168342\n", + "2 STA03 1.562461 5.276518\n", + "3 STA02 1.007599 6.092468\n", + "4 STA02 6.650617 4.042879\n", + "... ... ... ...\n", + "199995 STA03 1.580389 4.325777\n", + "199996 STA02 0.623621 8.987534\n", + "199997 STA01 0.925031 3.225689\n", + "199998 STA04 2.994562 4.964203\n", + "199999 STA04 2.358059 4.825194\n", + "\n", + "[200000 rows x 3 columns]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Create a small example dataset\n", + "# using a random-number generator with a fixed seed\n", + "rng = np.random.default_rng(42)\n", + "\n", + "# Define how many seismic observations will be included.\n", + "n_observations = 200_000\n", + "\n", + "# Create a pandas DataFrame representing measurements collected from four seismic stations\n", + "# Each row represents one observation and contains:\n", + "# - station: station identifier\n", + "# - peak_amplitude: maximum waveform amplitude\n", + "# - snr_db: signal-to-noise ratio measured in decibels\n", + "station_data = pd.DataFrame({\"station\": rng.choice(\n", + " [\"STA01\", \"STA02\", \"STA03\", \"STA04\"],\n", + " size=n_observations\n", + " ),\n", + "\n", + " \"peak_amplitude\": rng.lognormal(mean=0.0, sigma=0.8, size=n_observations),\n", + "\n", + " \"snr_db\": rng.normal(loc=6.0, scale=3.0, size=n_observations)\n", + "})\n", + "\n", + "station_data" + ] + }, + { + "cell_type": "markdown", + "id": "3514980c", + "metadata": {}, + "source": [ + "This cell builds a synthetic dataset of 200,000 seismic observations using a seeded random-number generator, so the results are reproducible. Each row records one measurement from one of four stations, with a `peak_amplitude` drawn from a log-normal distribution and a `snr_db` (signal-to-noise ratio) drawn from a normal distribution. This is an ordinary in-memory **pandas** DataFrame, the starting point that we convert into a partitioned Dask DataFrame in the next cell." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "db70d044", + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
Dask DataFrame Structure:
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stationpeak_amplitudesnr_db
npartitions=8
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25000.........
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199999.........
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Dask Name: frompandas, 1 expression
" + ], + "text/plain": [ + "Dask DataFrame Structure:\n", + " station peak_amplitude snr_db\n", + "npartitions=8 \n", + "0 string float64 float64\n", + "25000 ... ... ...\n", + "... ... ... ...\n", + "175000 ... ... ...\n", + "199999 ... ... ...\n", + "Dask Name: frompandas, 1 expression\n", + "Expr=df" + ] + }, + "execution_count": 7, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "import dask.dataframe as dd\n", + "\n", + "# Convert the pandas DataFrame into a Dask DataFrame\n", + "station_ddf = dd.from_pandas(station_data, npartitions=8)\n", + "\n", + "station_ddf" + ] + }, + { + "cell_type": "markdown", + "id": "464fea60", + "metadata": {}, + "source": [ + "Each partition is a pandas DataFrame containing a portion of the complete dataset. Dask can process these partitions independently,allowing several partitions to be handled in parallel." + ] + }, + { + "cell_type": "markdown", + "id": "f9e0e3af", + "metadata": {}, + "source": [ + "This example begins with a pandas DataFrame so that it can run quickly in the notebook. In a larger scientific workflow, the complete dataset might not fit in memory. Instead of first loading it with pandas, Dask can construct a partitioned DataFrame directly from a collection of files:\n", + ">\n", + "> ```python\n", + "> station_ddf = dd.read_csv(\"data/station-observations-*.csv\")\n", + "> ```\n", + ">\n", + "or, preferably for many cloud-based analytical workflows:\n", + ">\n", + "> ```python\n", + "> station_ddf = dd.read_parquet(\"data/station-observations/\")\n", + "> ```\n", + "\n", + "Dask initially reads only the dataset metadata. Individual partitions are loaded and processed when a result is requested with `.compute()` or`.persist()`." + ] + }, + { + "cell_type": "markdown", + "id": "94d89f5d", + "metadata": {}, + "source": [ + "### **4. Dask delayed (building workflows)**" + ] + }, + { + "cell_type": "markdown", + "id": "3fa1e663", + "metadata": {}, + "source": [ + "Dask Array and Dask DataFrame are designed for structured numerical and tabular data. However, many scientific workflows consist of custom Python functions that\n", + "retrieve data, apply corrections, calculate measurements, and combine results. These workflows may not fit naturally into an array or DataFrame.\n", + "\n", + "**Dask Delayed** allows us to parallelize these custom workflows with minimal changes to the original Python code. Wrapping a function with `delayed()` changes when the function is executed:\n", + "\n", + "- A normal Python function executes immediately and returns its result.\n", + "- A delayed function does not execute immediately. It returns a delayed task describing what should be calculated later." + ] + }, + { + "cell_type": "markdown", + "id": "1c7b00e2", + "metadata": {}, + "source": [ + "Earlier in this notebook, we used Dask Delayed to construct and visualize a simplified seismic-processing workflow. We will now execute that workflow and compare it with the equivalent serial approach." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "aee463e6", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Serial runtime: 1.42 seconds\n", + "\n", + "Dask runtime: 0.52 seconds\n" + ] + } + ], + "source": [ + "import time\n", + "\n", + "# =================================\n", + "# ---------- Serial Run -----------\n", + "# =================================\n", + "\n", + "# -- 1. record the starting time --\n", + "serial_start = time.perf_counter()\n", + "\n", + "# -- 2. loading and processing steps --\n", + "inventory = load_inventory(stations)\n", + "serial_picks = []\n", + "for station in stations:\n", + "\n", + " # Retrieve the waveform for the current station.\n", + " waveform = retrieve_waveform(station, inventory)\n", + "\n", + " # Correct the retrieved waveform.\n", + " corrected_waveform = correct_waveform(waveform)\n", + "\n", + " # Pick the arrival time from the corrected waveform.\n", + " arrival_pick = pick_arrival(corrected_waveform)\n", + "\n", + " # Save the station name and its arrival time.\n", + " serial_picks.append(arrival_pick)\n", + "\n", + "\n", + "# Combine the station results into a dictionary.\n", + "serial_result = collect_picks(serial_picks)\n", + "\n", + "# Calculate the total serial execution time.\n", + "serial_runtime = time.perf_counter() - serial_start\n", + "\n", + "print(f\"\\nSerial runtime: {serial_runtime:.2f} seconds\")\n", + "\n", + "\n", + "# =================================\n", + "# --------- Parallel Run ----------\n", + "# =================================\n", + "\n", + "# -- 1. Record the starting time --\n", + "parallel_start = time.perf_counter()\n", + "\n", + "# -- 2. Execute processing workflow constructed earlier using delayed() --\n", + "parallel_result = workflow.compute()\n", + "\n", + "# Calculate the total Dask execution time.\n", + "parallel_runtime = time.perf_counter() - parallel_start\n", + "\n", + "print(f\"\\nDask runtime: {parallel_runtime:.2f} seconds\")\n" + ] + }, + { + "cell_type": "markdown", + "id": "d07ed078", + "metadata": {}, + "source": [ + "In the serial workflow, the stations are processed one after another. Python completes waveform retrieval, correction, and arrival picking for one station before beginning the next station. In the Dask workflow, the processing steps within an individual station branch remain sequential because each step depends on the result of the previous one. However, the branches representing different stations are independent and can therefore be assigned to different Dask workers.\n", + "\n", + "The amount of speedup depends on several factors, including:\n", + "\n", + "- the number of available workers;\n", + "- the number of independent tasks;\n", + "- the duration of each task;\n", + "- scheduling and communication overhead; and\n", + "- whether data must be transferred between workers.\n", + "\n", + "> **Important:** Dask does not guarantee that every workflow will run faster.\n", + "> Small or highly sequential workflows may take longer with Dask because\n", + "> scheduling tasks also requires time. Performance should be evaluated using a\n", + "> representative portion of the real scientific workflow." + ] + }, + { + "cell_type": "markdown", + "id": "5f4e792a", + "metadata": {}, + "source": [ + "### **5. DASK futures (dynamic processing)**" + ] + }, + { + "cell_type": "markdown", + "id": "0bdd5791", + "metadata": {}, + "source": [ + "Dask Delayed is useful when we can describe the complete workflow before execution begins. In some scientific applications, however, we may want to submit tasks immediately, monitor their progress, or process individual result as soon as they become available.\n", + "\n", + "Dask **Futures** provide this more interactive style of execution. A Future is a Python object representing a task that may be waiting, running, completed, or failed on a Dask worker.\n", + "\n", + "Unlike Delayed tasks, Futures use **eager execution**\n", + "\n", + "- `delayed()` builds a lazy task graph that waits for `.compute()`.\n", + "\n", + "whereas\n", + "\n", + "- `client.submit()` sends an individual task to the scheduler immediately.\n", + "- `client.map()` submits the same function for many inputs.\n", + "- `client.gather()` retrieves a collection of completed results.\n", + "- `as_completed()` returns results one at a time as they finish.\n", + "\n", + "Futures are especially useful for dynamic workflows, real-time processing, and tasks whose completion times differ. In the following example, we will submit one processing task for each seismic station and inspect the results as they become available." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "5617b341", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[,\n", + " ,\n", + " ,\n", + " ]" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Record the starting time.\n", + "futures_start = time.perf_counter()\n", + "\n", + "# -- 1. Submit the shared inventory task --\n", + "\n", + "# submit() sends one task to the scheduler immediately and returns a Future.\n", + "inventory_future = client.submit(load_inventory, stations)\n", + "\n", + "# -- 2. Submit one processing branch per station --\n", + "\n", + "# For each station we chain three dependent tasks: retrieve -> correct -> pick.\n", + "# Passing one Future as the input to the next submit() lets the scheduler track\n", + "# the dependency; passing inventory_future makes every branch wait for the shared\n", + "# inventory before its waveform is retrieved.\n", + "station_futures = []\n", + "for station in stations:\n", + " waveform_future = client.submit(retrieve_waveform, station, inventory_future)\n", + " corrected_future = client.submit(correct_waveform, waveform_future)\n", + " pick_future = client.submit(pick_arrival, corrected_future)\n", + "\n", + " # Store the final Future for this station so we can monitor and collect it later.\n", + " station_futures.append(pick_future)\n", + "\n", + "# Display the Futures. Their status may be \"pending\", \"running\", or \"finished\",\n", + "# depending on how quickly the workers complete the tasks.\n", + "station_futures" + ] + }, + { + "cell_type": "markdown", + "id": "7d852195", + "metadata": {}, + "source": [ + "Unlike Dask Delayed, which builds the whole graph first and waits for `.compute()`, `client.submit()` sends each task to the scheduler **immediately** and returns a `Future` right away. Then the workers begin computing in the background while this cell finishes. Each `Future` is a handle to a result that may still be `pending`, `running`, or already `finished`; we store them in `station_futures` so we can monitor them and gather the results as they complete. This eager, submit-as-you-go style is what makes Futures well suited to dynamic workflows where later tasks depend on results that are not known ahead of time." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "8a9c115f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Task: pick_arrival-d2805fbaf35af6618547d715cf84c72d\n", + "Status: finished\n", + "\n", + "Task: pick_arrival-5f367ef55d128384805c1120a9b3b8b9\n", + "Status: finished\n", + "\n", + "Task: pick_arrival-76567b014d286dbea7fbfe2e4237db99\n", + "Status: finished\n", + "\n", + "Task: pick_arrival-bf713beb548c2eacd12b64551f8cb641\n", + "Status: finished\n", + "\n" + ] + } + ], + "source": [ + "# Each Future contains a unique task key and its current execution status.\n", + "for future in station_futures:\n", + " print(f\"Task: {future.key}\")\n", + " print(f\"Status: {future.status}\")\n", + " print()" + ] + }, + { + "cell_type": "markdown", + "id": "e5546dc0", + "metadata": {}, + "source": [ + "Now that the tasks are running, we collect their results. Because the station branches finish at slightly different times, we use `as_completed()` to process each result **the moment its task finishes**, rather than waiting for the whole batch." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "20f6e217", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "STA01: arrival pick at 7.23 s\n", + "STA02: arrival pick at 3.24 s\n", + "STA03: arrival pick at 0.25 s\n", + "STA04: arrival pick at 1.28 s\n", + "\n", + "Futures workflow finished in 39.48 s\n" + ] + } + ], + "source": [ + "from dask.distributed import as_completed\n", + "\n", + "# -- 3. Collect results as they finish, using as_completed() --\n", + "\n", + "# as_completed() yields each Future the moment its task completes, so results\n", + "# arrive in completion order rather than in the original station order.\n", + "picks = {}\n", + "for finished in as_completed(station_futures):\n", + " station, pick_time = finished.result() # .result() returns the computed value\n", + " picks[station] = pick_time\n", + " print(f\"{station}: arrival pick at {pick_time:.2f} s\")\n", + "\n", + "futures_end = time.perf_counter()\n", + "print(f\"\\nFutures workflow finished in {futures_end - futures_start:.2f} s\")" + ] + }, + { + "cell_type": "markdown", + "id": "e7029246", + "metadata": {}, + "source": [ + "`as_completed()` is one of several ways to retrieve results. Two others mentioned above are worth demonstrating:\n", + "\n", + "- `client.gather()` blocks until **every** Future is done and returns all results together — use it when you simply need the whole collection.\n", + "- `client.map()` submits the **same function across many inputs in a single call** — a concise alternative to the submit loop when the inputs are independent." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "9fcc0afa", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "gather() returned all results together:\n", + "{'STA01': np.float64(7.23), 'STA02': np.float64(3.24), 'STA03': np.float64(0.25), 'STA04': np.float64(1.28)}\n", + "\n", + "map() returned one Future per station:\n", + "[, , , ]\n" + ] + } + ], + "source": [ + "# --- client.gather(): collect every result at once ---\n", + "all_picks = dict(client.gather(station_futures))\n", + "print(\"gather() returned all results together:\")\n", + "print(all_picks)\n", + "\n", + "# --- client.map(): submit one function across many inputs in a single call ---\n", + "# Here it launches waveform retrieval for every station at once (one call, four\n", + "# tasks). The same inventory_future is broadcast to each call as the dependency.\n", + "waveform_futures = client.map(\n", + " retrieve_waveform, stations, [inventory_future] * len(stations)\n", + ")\n", + "print(\"\\nmap() returned one Future per station:\")\n", + "print(waveform_futures)" + ] + }, + { + "cell_type": "markdown", + "id": "7d9cad49", + "metadata": {}, + "source": [ + "Calling `client.submit()` immediately sent the inventory task and the station-processing tasks to the Dask scheduler. Each station task received the inventory Future as a dependency, so Dask waited for the inventory to become available before processing the corresponding station.\n", + "\n", + "After the shared inventory task finished, the independent station tasks could run concurrently on the available workers. The `as_completed()` iterator returned each result as soon as its station task finished. Consequently, the completion order was not required to match the original order of the station list.\n", + "\n", + "The notebook remained available while the tasks were running. We could inspect the Futures, submit additional work, or respond to completed results without first constructing and computing one complete task graph." + ] + }, + { + "cell_type": "markdown", + "id": "5f9f5e07", + "metadata": {}, + "source": [ + "| Dask Delayed | Dask Futures |\n", + "|---|---|\n", + "| Uses lazy execution | Uses eager execution |\n", + "| Builds the workflow before execution | Submits tasks immediately |\n", + "| Executes when `.compute()` is called | Executes through an active `Client` |\n", + "| Best for fixed dependency graphs | Best for dynamic or interactive workflows |\n", + "| Usually returns the final combined result | Can provide individual results as they finish |\n", + "\n", + "Both interfaces use the same Dask scheduler and workers. The main difference is how and when tasks are submitted." + ] + }, + { + "cell_type": "markdown", + "id": "f479a9c9", + "metadata": {}, + "source": [ + "### **7. Compute vs Persist (Controlling Execution)**" + ] + }, + { + "cell_type": "markdown", + "id": "c12ea013", + "metadata": {}, + "source": [ + "Dask collections use **lazy evaluation**. Creating an array, filtering a DataFrame, or defining a calculation builds a task graph, but the calculation does not begin immediately. Two important methods for starting that calculation are `compute()` and `persist()`.\n", + "\n", + "Although both methods execute a task graph, they return and store results differently:\n", + "\n", + "- **`compute()`** evaluates the graph and returns the final result to the notebook as a regular Python, NumPy, or pandas object.\n", + "- **`persist()`** evaluates the graph but keeps the partitioned result in memory across the Dask workers. It returns another Dask collection connected to those stored partitions.\n", + "\n", + "Use `compute()` when the final result is small enough to fit comfortably in the notebook's memory. Use `persist()` when an intermediate dataset will be reused by several downstream calculations." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "40d7388f", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Number of partitions:8\n" + ] + }, + { + "data": { + "text/html": [ + "
Dask DataFrame Structure:
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stationpeak_amplitudesnr_db
npartitions=8
0stringfloat64float64
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\n", + "
Dask Name: getitem, 4 expressions
" + ], + "text/plain": [ + "Dask DataFrame Structure:\n", + " station peak_amplitude snr_db\n", + "npartitions=8 \n", + "0 string float64 float64\n", + "25000 ... ... ...\n", + "... ... ... ...\n", + "175000 ... ... ...\n", + "199999 ... ... ...\n", + "Dask Name: getitem, 4 expressions\n", + "Expr=Filter(frame=df, predicate=df['snr_db'] >= 3.0)" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# Build a lazy intermediate dataset\n", + "\n", + "quality_controlled = station_ddf[station_ddf[\"snr_db\"] >= 3.0]\n", + "\n", + "print(type(quality_controlled))\n", + "print(f\"Number of partitions:\"f\"{quality_controlled.npartitions}\")\n", + "quality_controlled" + ] + }, + { + "cell_type": "markdown", + "id": "9efea38a-b7cd-4754-8702-e48984a3510a", + "metadata": {}, + "source": [ + "At this point, `quality_controlled` does not contain fully calculated results. It represents the original partitions together with instructions for applying the signal-to-noise filter." + ] + }, + { + "cell_type": "markdown", + "id": "8512dce0-a4bd-4148-a34b-8975f7c37140", + "metadata": {}, + "source": [ + "#### Use `compute()`" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "589c1aa3-4fc7-42d6-8d78-e40d3544a5ab", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "data": { + "text/plain": [ + "station\n", + "STA01 1.382208\n", + "STA02 1.379587\n", + "STA03 1.381743\n", + "STA04 1.384600\n", + "Name: peak_amplitude, dtype: float64" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# This is another lazy operation. \n", + "# Dask adds the groupby and mean calculations to the existing task graph.\n", + "mean_amplitude = (quality_controlled\n", + " .groupby(\"station\")[\"peak_amplitude\"]\n", + " .mean()\n", + ")\n", + "# Calling compute() triggers the complete task graph:\n", + "mean_result = mean_amplitude.compute()\n", + "\n", + "print(type(mean_result))\n", + "\n", + "mean_result" + ] + }, + { + "cell_type": "markdown", + "id": "766d6a9c-aa15-4545-8a96-92523f7c7d1f", + "metadata": {}, + "source": [ + "The station-level summary is small, so returning it to the notebook with `compute()` is appropriate. However, calling `compute()` on the complete quality-controlled dataset would bring every filtered row into the notebook's memory. For a very large dataset, that could exhaust the available memory." + ] + }, + { + "cell_type": "markdown", + "id": "b6087ae9-f3fd-40d4-a764-d67f2f86606f", + "metadata": {}, + "source": [ + "#### Use `persist()`" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "fabf110a-00df-4ad8-b3cc-9d6daa6a3858", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The quality-controlled partitions are now stored on the workers.\n" + ] + }, + { + "data": { + "text/html": [ + "
Dask DataFrame Structure:
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stationpeak_amplitudesnr_db
npartitions=8
0stringfloat64float64
25000.........
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175000.........
199999.........
\n", + "
Dask Name: getitem-ge-getitem, 1 expression
" + ], + "text/plain": [ + "Dask DataFrame Structure:\n", + " station peak_amplitude snr_db\n", + "npartitions=8 \n", + "0 string float64 float64\n", + "25000 ... ... ...\n", + "... ... ... ...\n", + "175000 ... ... ...\n", + "199999 ... ... ...\n", + "Dask Name: getitem-ge-getitem, 1 expression\n", + "Expr=FromGraph(448d157)" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from dask.distributed import wait\n", + "\n", + "# persist() returns immediately with another Dask DataFrame. The\n", + "# calculation may still be running in the background.\n", + "quality_persisted = quality_controlled.persist()\n", + "\n", + "# Wait until all persisted partitions have finished calculating.\n", + "wait(quality_persisted)\n", + "\n", + "print(\"The quality-controlled partitions are now stored on the workers.\")\n", + "quality_persisted" + ] + }, + { + "cell_type": "markdown", + "id": "77c81cb2-6fe5-4a81-95bf-a34bfa9a210f", + "metadata": {}, + "source": [ + "`quality_persisted` remains a Dask DataFrame. Unlike the original lazy\n", + "collection, however, its filtered partitions have now been calculated and\n", + "stored in distributed worker memory. Downstream calculations can reuse these partitions without repeating the quality-control filter." + ] + }, + { + "cell_type": "markdown", + "id": "dc34df64-3b83-41a0-94cd-7b5bc664f312", + "metadata": {}, + "source": [ + "| Method | Where is the result stored? | Returned object | Best use |\n", + "|---|---|---|---|\n", + "| `compute()` | Notebook or client process | NumPy, pandas, or Python object | Retrieving a small final result |\n", + "| `persist()` | Distributed worker memory | Dask collection | Reusing an intermediate dataset |\n", + "| `dask.compute(a, b)` | Final results return to the notebook | Multiple concrete results | Computing related outputs together |" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".conda", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + 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zNp{kY%``gk*gffL@qu5(?Mhmd#1EbGG-az^(VYsZ{mRY?&(zxNo0LoF@KW80#l13n zSbRa^n(&8dii Date: Sun, 2 Aug 2026 08:31:52 -0700 Subject: [PATCH 14/15] mvp nb dlt --- tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb | 2194 - tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb | 1960 - tutorials/MVP1-SAGE/Notebook3_mvp2.ipynb | 2161 - tutorials/MVP1-SAGE/event_catalog.xml | 602 - tutorials/MVP1-SAGE/event_selection.json | 8 - tutorials/MVP1-SAGE/station_dataframe.csv | 17 - .../MVP1-SAGE/station_dataframe_processed.csv | 17 - tutorials/MVP1-SAGE/station_inventory.xml | 52000 ---------------- 8 files changed, 58959 deletions(-) delete mode 100644 tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb delete mode 100644 tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb delete mode 100644 tutorials/MVP1-SAGE/Notebook3_mvp2.ipynb delete mode 100644 tutorials/MVP1-SAGE/event_catalog.xml delete mode 100644 tutorials/MVP1-SAGE/event_selection.json delete mode 100644 tutorials/MVP1-SAGE/station_dataframe.csv delete mode 100644 tutorials/MVP1-SAGE/station_dataframe_processed.csv delete mode 100644 tutorials/MVP1-SAGE/station_inventory.xml diff --git a/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb deleted file mode 100644 index d714481..0000000 --- a/tutorials/MVP1-SAGE/Notebook1_mvp1.ipynb +++ /dev/null @@ -1,2194 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "a557bb55", - "metadata": {}, - "source": [ - "# **Notebook 1** - Discovering & Retrieving Seismic Data\n", - "\n", - "### MVP1 focus: Data discovery, dataset selection, data retrieval, and data storage" - ] - }, - { - "cell_type": "markdown", - "id": "cdaf97c7", - "metadata": {}, - "source": [ - "**What this notebook does**\n", - "\n", - "This notebook introduces the first step in a cloud-based seismic workflow in GeoLab. We will begin with a scientific question:\n", - "\n", - "> Which earthquake and which seismic stations should we study?\n", - "\n", - "We will then use metadata queries to identify relevant events, stations, and channels before requesting waveform data. The notebook walks through a practical workflow for discovering seismic data, narrowing the dataset, checking waveform availability, and saving compact metadata products that can be reused in later analysis.\n", - "\n", - "**Why this workflow is useful**\n", - "\n", - "The workflow presented in the notebook helps distinguish between traditional seismic research and GeoLab based cloud-optimized data analysis.\n", - "\n", - "In a traditional local setting, researchers often begin by downloading waveform files before they know which data are most useful. That can lead to repeated downloads, local file management, and unnecessary storage use when the event, station list, channel, or time window changes.\n", - "\n", - "GeoLab supports a more efficient cloud-based workflow. Instead of downloading everything first, we can explore metadata, test data availability, retrieve only the waveform windows we need, and save lightweight products that make the workflow easier to repeat and share. This “explore first, download less” approach is especially useful for seismic data because waveform archives can be large, while the metadata needed for early decision-making is much smaller.\n", - "\n", - "**What you will accomplish**\n", - "\n", - "By the end of this notebook, we will have:\n", - "\n", - "1. queried an earthquake catalog;\n", - "2. selected an event and identified stations operating during the event window;\n", - "3. converted station metadata into a table that can be filtered and inspected;\n", - "4. checked which filtered stations have waveform data available; and\n", - "5. saved event parameters and station metadata for later use.\n", - "\n", - "The products from this notebook will help prepare the input dataset for the next stage of the seismic workflow.\n", - "\n", - "**Prerequisites**\n", - "\n", - "Before starting this notebook, you should have:\n", - "\n", - "- access to EarthScope GeoLab and a running JupyterLab session;\n", - "- basic familiarity with Python;\n", - "- basic familiarity with seismic data processing including `obspy`;\n", - "- a GeoLab environment with the following Python packages available: `obspy`, `pandas`, `matplotlib`, `cartopy`, and `json`;\n", - "\n", - "No previous notebook in this seismic notebook sequence is required. This is **Notebook 1**. For additional background, it is encouraged to review the **Cloud Foundations** notebook series, before or alongside this notebook.\n", - "\n", - "**Recommended GeoLab compute resources**\n", - "\n", - "- **Image:** Use the course-provided GeoLab image that includes the seismic and geospatial Python stack, including `obspy`, `pandas`, `matplotlib`, and `cartopy`.\n", - "- **Server size:** A Small server is sufficient for the default version of this notebook because it uses metadata queries, short waveform windows, station tables, and lightweight plotting. Use a Medium server if you expand the exercise to many events, longer waveform windows, or a larger station set.\n", - "\n", - "**Learning objectives**\n", - "\n", - "1. With GeoLab set-up a computing environment inside in the cloud \n", - "2. Use `obspy` to access seismic data in the cloud\n", - "3. Analyze event and station metadata to build a dataframe for the science objective\n", - "4. Save compact metadata products to establish a reproducible workflow\n", - "\n", - "---" - ] - }, - { - "cell_type": "markdown", - "id": "2e7e6669", - "metadata": {}, - "source": [ - "## **1. Data discovery**" - ] - }, - { - "cell_type": "markdown", - "id": "0627e817", - "metadata": {}, - "source": [ - "Cloud workflows begin with discovery, not downloads.\n", - "\n", - "In this section, we use ObsPy to ask small metadata questions before requesting waveform data:\n", - "\n", - "1. Which earthquakes match our region, time range, and magnitude threshold?\n", - "2. Which seismic stations were operating near the event time?\n", - "3. Which station/channel combinations are likely to have usable waveform data?\n", - "\n", - "This matters because metadata queries are lightweight. They let us narrow the problem before moving waveform data across the network." - ] - }, - { - "cell_type": "markdown", - "id": "4df99149", - "metadata": {}, - "source": [ - "#### **1.1 Connect to EarthScope FDSN web service**" - ] - }, - { - "cell_type": "markdown", - "id": "9d470c70", - "metadata": {}, - "source": [ - "Opening a `Client` only means setting up the connection to EarthScope." - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "e4ab2746", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "FDSN Webservice Client (base url: https://service.earthscope.org)\n", - "Available Services: 'dataselect' (v1.1.65), 'station' (v1.1.56)\n", - "\n", - "Use e.g. client.help('dataselect') for the\n", - "parameter description of the individual services\n", - "or client.help() for parameter description of\n", - "all webservices.\n" - ] - } - ], - "source": [ - "# Create an FDSN client for EarthScope services.\n", - "# This client will be used for station metadata and waveform requests.\n", - "from obspy.clients.fdsn import Client\n", - "client = Client(\"https://service.earthscope.org\") # previously \"IRIS\"\n", - "print(client)" - ] - }, - { - "cell_type": "markdown", - "id": "41445c90", - "metadata": {}, - "source": [ - "#### **1.2 Build an event catalog**" - ] - }, - { - "cell_type": "markdown", - "id": "f83e5896", - "metadata": {}, - "source": [ - "\n", - "We query earthquake **catalogs** from the USGS event service, while **waveforms** come from EarthScope. We point the `event` service at USGS in the next cell, and everything else keeps using EarthScope under the hood.\n", - "\n", - "At this stage, we are not moving waveform data yet. We are only retrieving event metadata: origin time, location, depth, and magnitude. This is the “cheap query” stage of the workflow.\n", - "\n", - "> ✏️ Set parameters to search for earthquakes. First, a geographic bounding box, which is just four numbers: the min/max latitude and min/max longitude. We default to a box over West Washington, USA. You can make it bigger, smaller, or move it somewhere else entirely. Then, set your preferred time range and minimum magnitude." - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "57ae43c5", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "10 Event(s) in Catalog:\n", - "2023-12-24T15:14:04.220000Z | +47.820, -122.960 | 4.04 ml | manual\n", - "2023-10-09T02:21:08.960000Z | +48.040, -122.731 | 4.31 ml | manual\n", - "2018-11-19T11:09:13.130000Z | +47.711, -123.554 | 4.08 ml | manual\n", - "2017-02-23T04:59:04.050000Z | +47.480, -123.035 | 4.09 ml | manual\n", - "2009-01-30T13:25:03.760000Z | +47.786, -122.585 | 4.67 ml | manual\n", - "2003-04-25T10:02:12.710000Z | +47.670, -123.250 | 4.8 md | manual\n", - "2002-09-21T00:55:20.960000Z | +48.485, -123.126 | 4.1 md | manual\n", - "2001-07-22T15:13:52.430000Z | +47.088, -122.687 | 4.3 md | manual\n", - "2001-06-10T13:19:11.290000Z | +47.167, -123.502 | 5.0 md | manual\n", - "2001-02-28T18:54:32.830000Z | +47.149, -122.727 | 6.8 md | manual\n" - ] - } - ], - "source": [ - "# ---- USER INPUTS -----\n", - "# Geographic bounding box for the region of interest (Default is the west Washington region)\n", - "min_lat, max_lat = 46, 48.5 # south / north edges\n", - "min_lon, max_lon = -125.5, -122.5 # west / east \n", - "stime = \"2000-01-01\" # start date\n", - "etime = \"2025-12-31\" # end date\n", - "minmagnitude = 4 # minimum magnitude of events to retrieve\n", - "# ----------------------\n", - "\n", - "# Re-create the client with the EVENT service pointed at USGS.\n", - "# Only the 'event' endpoint is overridden; station/waveform calls still go to EarthScope by default \n", - "from obspy import UTCDateTime\n", - "client = Client(service_mappings={\"event\": \"https://earthquake.usgs.gov/fdsnws/event/1\"})\n", - "ev_catalog = client.get_events(minlatitude=min_lat, maxlatitude=max_lat, \n", - " minlongitude=min_lon, maxlongitude=max_lon,\n", - " starttime=UTCDateTime(stime), endtime=UTCDateTime(etime), \n", - " minmagnitude=minmagnitude)\n", - "print(ev_catalog)" - ] - }, - { - "cell_type": "markdown", - "id": "8d072280", - "metadata": {}, - "source": [ - "#### **1.3 Visualize events**" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "9e848c28", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " event_time latitude longitude magnitude\n", - "0 2023-12-24T15:14:04.220000Z 47.819667 -122.960000 4.04\n", - "1 2023-10-09T02:21:08.960000Z 48.040167 -122.730833 4.31\n", - "2 2018-11-19T11:09:13.130000Z 47.711333 -123.554167 4.08\n", - "3 2017-02-23T04:59:04.050000Z 47.480167 -123.035000 4.09\n", - "4 2009-01-30T13:25:03.760000Z 47.786500 -122.584667 4.67\n", - "5 2003-04-25T10:02:12.710000Z 47.670500 -123.250000 4.80\n", - "6 2002-09-21T00:55:20.960000Z 48.484833 -123.126500 4.10\n", - "7 2001-07-22T15:13:52.430000Z 47.087833 -122.686833 4.30\n", - "8 2001-06-10T13:19:11.290000Z 47.167500 -123.502500 5.00\n", - "9 2001-02-28T18:54:32.830000Z 47.149000 -122.726667 6.80\n" - ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import cartopy.crs as ccrs\n", - "import cartopy.feature as cfeature\n", - "\n", - "# Unpack location + magnitude from every event in the catalog.\n", - "evlats, evlons, evmags, evtime = [], [], [], []\n", - "for ev in ev_catalog:\n", - " origin = ev.preferred_origin() or ev.origins[0]\n", - " mag = ev.preferred_magnitude() or (ev.magnitudes[0] if ev.magnitudes else None)\n", - " depth_km = (origin.depth or 0) / 1000.0 \n", - " time = ev.origins[0].time\n", - " evlats.append(origin.latitude); evlons.append(origin.longitude); \n", - " evmags.append(mag.mag if mag else None)\n", - " evtime.append(time)\n", - "\n", - "# Create a Pandas DataFrame for the events, which will be useful for further analysis.\n", - "import pandas as pd\n", - "df_events = pd.DataFrame({\n", - " \"event_time\": evtime,\n", - " \"latitude\": evlats,\n", - " \"longitude\": evlons,\n", - " \"magnitude\": evmags\n", - "})\n", - "print(df_events)\n", - "\n", - "fig = plt.figure(figsize=(6, 6))\n", - "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n", - "ax.set_extent([min_lon, max_lon, min_lat, max_lat], crs=ccrs.PlateCarree())\n", - "\n", - "# Basemap context. The first time this runs, cartopy downloads the coastline /\n", - "# land shapefiles (a few seconds), then caches them for next time.\n", - "ax.add_feature(cfeature.LAND, facecolor=\"#f3f0ea\")\n", - "ax.add_feature(cfeature.OCEAN, facecolor=\"#dcebf2\")\n", - "ax.add_feature(cfeature.COASTLINE, linewidth=0.6)\n", - "ax.add_feature(cfeature.STATES, linestyle=\":\", linewidth=0.4)\n", - "gl = ax.gridlines(draw_labels=True, linewidth=0.3, color=\"gray\", alpha=0.5)\n", - "gl.top_labels = gl.right_labels = False\n", - "\n", - "# Marker size grows with magnitude so big events stand out\n", - "sizes = [(m ** 2) * 12 for m in evmags]\n", - "sc = ax.scatter(evlons, evlats, s=sizes, c=evmags, cmap=\"hot_r\",\n", - " marker=\"*\", edgecolors=\"black\", linewidths=0.6,\n", - " vmin=4, vmax=8, transform=ccrs.PlateCarree(), zorder=5)\n", - "plt.colorbar(sc, ax=ax, shrink=0.6, label=\"magnitude\")\n", - "\n", - "ax.set_title(f\"{len(ev_catalog)} event(s) in search box\")\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "c33b6e33", - "metadata": {}, - "source": [ - "#### **1.4 Select preferred event & define parameters to make a station inventory**" - ] - }, - { - "cell_type": "markdown", - "id": "a92bdbe0", - "metadata": {}, - "source": [ - "A station inventory is more than a list of stations. It tells us which networks, stations, locations, and channels existed during the event window.\n", - "\n", - "> ✏️ Select your earthquake from the catalog above, and copy its origin time. You will also need channel codes for your interested channels.\n", - "\n", - "Channel codes follow the SEED convention. First letter = band; second = instrument\n", - "- `HN?` — strong-motion accelerometer (great for big, nearby quakes — what we use here)\n", - "- `BH?` / `HH?` — broadband seismometer (3 components: Z/N/E)\n", - "- `EH?` — short-period\n", - "\n", - "The `?` is a single-character wildcard, so `HN?` grabs all three components (HNZ/HNN/HNE)." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "dd45d8d0", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Inventory created at 2026-07-08T20:32:59.197100Z\n", - "\tCreated by: EarthScope WEB SERVICE: fdsnws-station | version: 1.1.56\n", - "\t\t https://service.earthscope.org/fdsnws/station/1/query?starttime=201...\n", - "\tSending institution: EarthScope (EarthScope)\n", - "\tContains:\n", - "\t\tNetworks (5):\n", - "\t\t\tCN, NP, OW, US, UW\n", - "\t\tStations (46):\n", - "\t\t\tCN.VGZ (Victoria Gonzales, BC, CA)\n", - "\t\t\tNP.2130 (American Lake VAMC)\n", - "\t\t\tNP.2158 (Wynoochee Dam)\n", - "\t\t\tNP.2193 (Gig Harbor Fire Station)\n", - "\t\t\tNP.2194 (Shelton Fire Station)\n", - "\t\t\tNP.7007 (Toutle River Dam)\n", - "\t\t\tNP.7015 (DNR Building)\n", - "\t\t\tNP.7028 (La Push Coast Guard Sta)\n", - "\t\t\tNP.7029 (Fort Worden State Park)\n", - "\t\t\tNP.7035 (Fire Station)\n", - "\t\t\tNP.7038 (Tumwater Fire Station HQ)\n", - "\t\t\tNP.7039 (Quinault Ranger Station)\n", - "\t\t\tNP.7040 (Museum)\n", - "\t\t\tNP.7041 (Fire Station)\n", - "\t\t\tNP.7045 (Fire Station)\n", - "\t\t\tNP.7046 (Camp Murray)\n", - "\t\t\tNP.7051 (New Fire Station 1)\n", - "\t\t\tNP.7054 (Centennial Park)\n", - "\t\t\tNP.7060 (Naval Base Kitsap Bangor)\n", - "\t\t\tOW.AL2H ( Albert Head is a community located in Metchosin, on the south coast of Vancouver Island.)\n", - "\t\t\tUS.NLWA (Neilton Lookout, Washington, USA)\n", - "\t\t\tUW.BILS (Queets, WA, USA)\n", - "\t\t\tUW.BLN (Blyn Mt., WA, USA)\n", - "\t\t\tUW.CORE (Aberdeen, WA, USA)\n", - "\t\t\tUW.ERW (Mt. Erie, WA, USA)\n", - "\t\t\tUW.HURR (Hurricane Ridge, WA, USA)\n", - "\t\t\tUW.LWCK (Lewis and Clark Interpretive Center, WA, USA)\n", - "\t\t\tUW.MAC (Tacoma, WA, USA)\n", - "\t\t\tUW.MKAH (Makah Indian Reservation, WA, USA)\n", - "\t\t\tUW.MNWA (Manchester, WA, USA)\n", - "\t\t\tUW.OCEN (Ocean Shores, WA, USA)\n", - "\t\t\tUW.OOW2 (Octopus West, WA, USA)\n", - "\t\t\tUW.PABH (Pacific Beach Navy Resort, WA, USA)\n", - "\t\t\tUW.QCDG (Casa Del Gato; Greebeck, Wa, USA)\n", - "\t\t\tUW.QCEN (Centralia College; Centralia, WA, USA)\n", - "\t\t\tUW.QCMM (Tacoma, WA, USA)\n", - "\t\t\tUW.QFRZ (15th Ave SW, Olympia, WA)\n", - "\t\t\tUW.QHOP (Olympia, WA, USA)\n", - "\t\t\tUW.QKTN (Kingston, WA, USA)\n", - "\t\t\tUW.QOCL (Olympia, WA, USA)\n", - "\t\t\tUW.QSKT (University Place, WA, USA)\n", - "\t\t\tUW.QTNB (Gig Harbor, WA, USA)\n", - "\t\t\tUW.QUIN (Olympia, WA, USA)\n", - "\t\t\tUW.SQM (PNNL - Sequim, WA, USA)\n", - "\t\t\tUW.TAHO (Taholah School, Taholah, WA, USA)\n", - "\t\t\tUW.UPL (Tacoma, WA, USA)\n", - "\t\tChannels (151):\n", - "\t\t\tCN.VGZ..HNZ, CN.VGZ..HNN, CN.VGZ..HNE, NP.2130.0B.HNZ, \n", - "\t\t\tNP.2130.0B.HNN, NP.2130.0B.HNE, NP.2158.BS.HNZ, NP.2158.BS.HNN, \n", - "\t\t\tNP.2158.BS.HNE, NP.2193..HNZ, NP.2193..HNN, NP.2193..HNE, \n", - "\t\t\tNP.2194..HNZ, NP.2194..HNN, NP.2194..HNE, NP.7007.CR.HNZ, \n", - "\t\t\tNP.7007.CR.HN2, NP.7007.CR.HN3, NP.7015.52.HNN, NP.7015.52.HNE, \n", - "\t\t\tNP.7015.53.HNN, NP.7015.54.HNN, NP.7015.B1.HNZ, NP.7015.B1.HNN, \n", - "\t\t\tNP.7015.B4.HNZ, NP.7015.B4.HNN, NP.7015.B4.HNE, NP.7015.P2.HNN, \n", - "\t\t\tNP.7015.P2.HNE, NP.7015.P4.HNN, NP.7015.R2.HNN, NP.7015.R2.HNE, \n", - "\t\t\tNP.7015.R3.HNN, NP.7015.R4.HNN, NP.7028..HNZ, NP.7028..HNN, \n", - "\t\t\tNP.7028..HNE, NP.7029.0B.HNZ, NP.7029.0B.HNN, NP.7029.0B.HNE, \n", - "\t\t\tNP.7035..HNZ, NP.7035..HNN, NP.7035..HNE, NP.7038..HNZ, \n", - "\t\t\tNP.7038..HNN, NP.7038..HNE, NP.7039..HNZ, NP.7039..HNN, \n", - "\t\t\tNP.7039..HNE, NP.7040..HNZ, NP.7040..HNN, NP.7040..HNE, \n", - "\t\t\tNP.7041..HNZ, NP.7041..HN2, NP.7041..HN3, NP.7045..HNZ, \n", - "\t\t\tNP.7045..HNN, NP.7045..HNE, NP.7046..HNZ, NP.7046..HNN, \n", - "\t\t\tNP.7046..HNE, NP.7051..HNZ, NP.7051..HNN, NP.7051..HNE, \n", - "\t\t\tNP.7054..HNZ, NP.7054..HNN, NP.7054..HNE, NP.7060..HNZ, \n", - "\t\t\tNP.7060..HNN, NP.7060..HNE, OW.AL2H..HNZ, OW.AL2H..HNN, \n", - "\t\t\tOW.AL2H..HNE, US.NLWA.20.HNZ, US.NLWA.20.HN1, US.NLWA.20.HN2, \n", - "\t\t\tUW.BILS..HNZ, UW.BILS..HNN, UW.BILS..HNE, UW.BLN..HNZ, UW.BLN..HNN\n", - "\t\t\tUW.BLN..HNE, UW.CORE..HNZ, UW.CORE..HNN, UW.CORE..HNE, \n", - "\t\t\tUW.ERW..HNZ, UW.ERW..HNN, UW.ERW..HNE, UW.HURR..HNZ, UW.HURR..HNN, \n", - "\t\t\tUW.HURR..HNE, UW.LWCK..HNZ, UW.LWCK..HNN, UW.LWCK..HNE, UW.MAC..HNZ\n", - "\t\t\tUW.MAC..HNN, UW.MAC..HNE, UW.MKAH..HNZ, UW.MKAH..HNN, \n", - "\t\t\tUW.MKAH..HNE, UW.MNWA..HNZ, UW.MNWA..HNN, UW.MNWA..HNE, \n", - "\t\t\tUW.OCEN..HNZ, UW.OCEN..HNN, UW.OCEN..HNE, UW.OOW2..HNZ, \n", - "\t\t\tUW.OOW2..HNN, UW.OOW2..HNE, UW.PABH..HNZ, UW.PABH..HNN, \n", - "\t\t\tUW.PABH..HNE, UW.QCDG.01.HNZ, UW.QCDG.01.HNN, UW.QCDG.01.HNE, \n", - "\t\t\tUW.QCEN.01.HNZ, UW.QCEN.01.HNN, UW.QCEN.01.HNE, UW.QCMM.01.HNZ, \n", - "\t\t\tUW.QCMM.01.HNN, UW.QCMM.01.HNE, UW.QFRZ.01.HNZ, UW.QFRZ.01.HNN, \n", - "\t\t\tUW.QFRZ.01.HNE, UW.QHOP.01.HNZ, UW.QHOP.01.HNN, UW.QHOP.01.HNE, \n", - "\t\t\tUW.QKTN.01.HNZ, UW.QKTN.01.HNN, UW.QKTN.01.HNE, UW.QOCL.01.HNZ, \n", - "\t\t\tUW.QOCL.01.HNN, UW.QOCL.01.HNE, UW.QSKT.01.HNZ, UW.QSKT.01.HNN, \n", - "\t\t\tUW.QSKT.01.HNE, UW.QTNB.01.HNZ, UW.QTNB.01.HNN, UW.QTNB.01.HNE, \n", - "\t\t\tUW.QUIN..HNZ, UW.QUIN..HNN, UW.QUIN..HNE, UW.SQM..HNZ, UW.SQM..HNN\n", - "\t\t\tUW.SQM..HNE, UW.TAHO..HNZ, UW.TAHO..HNN, UW.TAHO..HNE, \n", - "\t\t\tUW.UPL..HNZ, UW.UPL..HNN, UW.UPL..HNE" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# ---- USER INPUTS -----\n", - "# Select preferred event\n", - "event_time = UTCDateTime(\"2018-11-19T11:09:13.130000\")\n", - "target_channel = \"HN?\" \n", - "# A time window around the event to search for stations, operating at the time of the event.\n", - "t1 = event_time - 120 # 2 min before origin\n", - "t2 = event_time + 480 # 8 min after origin\n", - "# ----------------------\n", - "\n", - "# Search for stations that were operating during the event window.\n", - "# level=\"response\" includes the instrument response\n", - "st_inv = client.get_stations(\n", - " minlatitude=min_lat, maxlatitude=max_lat, \n", - " minlongitude=min_lon, maxlongitude=max_lon,\n", - " channel=target_channel, starttime=t1, endtime=t2,\n", - " level=\"response\",\n", - ")\n", - "\n", - "st_inv" - ] - }, - { - "cell_type": "markdown", - "id": "32079912", - "metadata": {}, - "source": [ - "## **2. Dataset Selection**" - ] - }, - { - "cell_type": "markdown", - "id": "d2b3042b", - "metadata": {}, - "source": [ - "In this section, we will query the station metadata and using that turn the station inventory into a smaller, science-ready dataset. Instead of requesting everything and sorting it out later, we reduce the request before waveform data move across the network. Because the data is always ready to stream almost instantaneously, we can keep exploring and rebuilding our inventory until we are satisfied." - ] - }, - { - "cell_type": "markdown", - "id": "76423220", - "metadata": {}, - "source": [ - "#### **2.1 Organize station metadata**" - ] - }, - { - "cell_type": "markdown", - "id": "1aa3047f", - "metadata": {}, - "source": [ - "Once you make a station inventory, go through the networks (`inventory.networks`) and stations (`inventory.networks[0].stations`) metadata.\n", - "\n", - "The goal of this section is to make a table of station metadata and decide which stations to keep and which to discard. To keep things organized, we will make a table with our interested metadata with `pandas.dataframe`.\n", - "\n", - "The inventory object is rich, but nested. For decision-making, it is easier to flatten the metadata into a table. This table lets us make reproducible choices about which data to keep. For example, we can filter by channel, sample rate, network, elevation, or distance from the event.\n", - "\n", - "> ✏️ You are encouraged to add or remove metadata from the table based on your needs" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "2b2ee0f7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of station-channel combinations retrieved: 151\n" - ] - }, - { - "data": { - "text/html": [ - "
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networkstationstart_datelatitudelongitudeelevationchannelsample_rate
0CNVGZ1994-07-21T00:00:00.000000Z48.413100-123.32510067.0HNE100.0
1CNVGZ1994-07-21T00:00:00.000000Z48.413100-123.32510067.0HNN100.0
2CNVGZ1994-07-21T00:00:00.000000Z48.413100-123.32510067.0HNZ100.0
3NP21301972-10-04T18:00:00.000000Z47.135560-122.57578080.0HNE200.0
4NP21301972-10-04T18:00:00.000000Z47.135560-122.57578080.0HNN200.0
...........................
146UWTAHO2015-04-01T00:00:00.000000Z47.344372-124.2874606.4HNN200.0
147UWTAHO2015-04-01T00:00:00.000000Z47.344372-124.2874606.4HNZ200.0
148UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNE200.0
149UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNN200.0
150UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0
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151 rows × 8 columns

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" - ], - "text/plain": [ - " network station start_date latitude longitude \\\n", - "0 CN VGZ 1994-07-21T00:00:00.000000Z 48.413100 -123.325100 \n", - "1 CN VGZ 1994-07-21T00:00:00.000000Z 48.413100 -123.325100 \n", - "2 CN VGZ 1994-07-21T00:00:00.000000Z 48.413100 -123.325100 \n", - "3 NP 2130 1972-10-04T18:00:00.000000Z 47.135560 -122.575780 \n", - "4 NP 2130 1972-10-04T18:00:00.000000Z 47.135560 -122.575780 \n", - ".. ... ... ... ... ... \n", - "146 UW TAHO 2015-04-01T00:00:00.000000Z 47.344372 -124.287460 \n", - "147 UW TAHO 2015-04-01T00:00:00.000000Z 47.344372 -124.287460 \n", - "148 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", - "149 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", - "150 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", - "\n", - " elevation channel sample_rate \n", - "0 67.0 HNE 100.0 \n", - "1 67.0 HNN 100.0 \n", - "2 67.0 HNZ 100.0 \n", - "3 80.0 HNE 200.0 \n", - "4 80.0 HNN 200.0 \n", - ".. ... ... ... \n", - "146 6.4 HNN 200.0 \n", - "147 6.4 HNZ 200.0 \n", - "148 126.0 HNE 200.0 \n", - "149 126.0 HNN 200.0 \n", - "150 126.0 HNZ 200.0 \n", - "\n", - "[151 rows x 8 columns]" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Flatten the nested ObsPy Inventory into a pandas table.\n", - "# Each row represents one network-station-channel combination.\n", - "network = []; station = []; start_date = []\n", - "latitude = []; longitude = []; elevation = []\n", - "channel = []; sample_rate = []\n", - "for net in st_inv.networks:\n", - " for sta in net.stations:\n", - " for chan in sta.channels:\n", - " network.append(net.code)\n", - " station.append(sta.code)\n", - " start_date.append(sta.start_date)\n", - " latitude.append(sta.latitude)\n", - " longitude.append(sta.longitude)\n", - " elevation.append(sta.elevation)\n", - " channel.append(chan.code)\n", - " sample_rate.append(chan.sample_rate)\n", - " \n", - "import pandas as pd\n", - "df_stations = pd.DataFrame({\n", - " \"network\": network,\n", - " \"station\": station,\n", - " \"start_date\": start_date,\n", - " \"latitude\": latitude,\n", - " \"longitude\": longitude,\n", - " \"elevation\": elevation,\n", - " \"channel\": channel,\n", - " \"sample_rate\": sample_rate,\n", - "})\n", - "\n", - "print(f\"Number of station-channel combinations retrieved: {len(df_stations)}\")\n", - "df_stations" - ] - }, - { - "cell_type": "markdown", - "id": "2c5c38b0", - "metadata": {}, - "source": [ - "#### **2.2 Filter stations based on metadata**" - ] - }, - { - "cell_type": "markdown", - "id": "b9e1cdd6", - "metadata": {}, - "source": [ - "Now we turn the station inventory into a smaller, science-ready dataset. This is the cloud equivalent of query optimization. Instead of requesting everything and sorting it out later, we reduce the request before waveform data move across the network.\n", - "\n", - "Below, we filter out stations based on the metadata investigation. As an example case, we are assuming you only want the stations with HNZ channel, 200 Hz sampling rate, and located above 50 m elevation.\n", - "\n", - "> ✏️ You are welcome to choose your own filtering parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "af083df7", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Number of stations after filtering: 24\n" - ] - }, - { - "data": { - "text/html": [ - "
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networkstationstart_datelatitudelongitudeelevationchannelsample_rate
5NP21301972-10-04T18:00:00.000000Z47.135560-122.57578080.0HNZ200.0
8NP21581974-02-08T18:00:00.000000Z47.385570-123.605700247.0HNZ200.0
11NP21931981-04-07T18:00:00.000000Z47.319640-122.58598094.0HNZ200.0
17NP70071990-04-18T18:00:00.000000Z46.366230-122.559750295.0HNZ200.0
45NP70382001-03-22T18:00:00.000000Z46.984910-122.90996060.0HNZ200.0
48NP70392000-07-31T18:00:00.000000Z47.467600-123.84660068.0HNZ200.0
60NP70462002-09-10T18:00:00.000000Z47.120120-122.56534081.0HNZ200.0
75USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0
78UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0
81UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0
87UWERW1997-12-01T00:00:00.000000Z48.453827-122.626121387.0HNZ200.0
90UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0
93UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0
96UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0
108UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0
114UWQCDG2011-11-16T00:00:00.000000Z48.100020-122.58696052.2HNZ200.0
117UWQCEN2012-06-14T00:00:00.000000Z46.716350-122.96190055.4HNZ200.0
120UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0
123UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0
126UWQHOP2010-09-28T00:00:00.000000Z47.060920-122.83960062.0HNZ200.0
132UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0
135UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0
138UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0
150UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0
\n", - "
" - ], - "text/plain": [ - " network station start_date latitude longitude \\\n", - "5 NP 2130 1972-10-04T18:00:00.000000Z 47.135560 -122.575780 \n", - "8 NP 2158 1974-02-08T18:00:00.000000Z 47.385570 -123.605700 \n", - "11 NP 2193 1981-04-07T18:00:00.000000Z 47.319640 -122.585980 \n", - "17 NP 7007 1990-04-18T18:00:00.000000Z 46.366230 -122.559750 \n", - "45 NP 7038 2001-03-22T18:00:00.000000Z 46.984910 -122.909960 \n", - "48 NP 7039 2000-07-31T18:00:00.000000Z 47.467600 -123.846600 \n", - "60 NP 7046 2002-09-10T18:00:00.000000Z 47.120120 -122.565340 \n", - "75 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", - "78 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", - "81 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", - "87 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", - "90 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", - "93 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", - "96 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", - "108 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", - "114 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", - "117 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", - "120 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", - "123 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", - "126 UW QHOP 2010-09-28T00:00:00.000000Z 47.060920 -122.839600 \n", - "132 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", - "135 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", - "138 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", - "150 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", - "\n", - " elevation channel sample_rate \n", - "5 80.0 HNZ 200.0 \n", - "8 247.0 HNZ 200.0 \n", - "11 94.0 HNZ 200.0 \n", - "17 295.0 HNZ 200.0 \n", - "45 60.0 HNZ 200.0 \n", - "48 68.0 HNZ 200.0 \n", - "60 81.0 HNZ 200.0 \n", - "75 640.0 HNZ 200.0 \n", - "78 62.0 HNZ 200.0 \n", - "81 601.0 HNZ 200.0 \n", - "87 387.0 HNZ 200.0 \n", - "90 1605.0 HNZ 200.0 \n", - "93 60.4 HNZ 200.0 \n", - "96 112.5 HNZ 200.0 \n", - "108 741.0 HNZ 200.0 \n", - "114 52.2 HNZ 200.0 \n", - "117 55.4 HNZ 200.0 \n", - "120 90.2 HNZ 200.0 \n", - "123 56.4 HNZ 200.0 \n", - "126 62.0 HNZ 200.0 \n", - "132 53.3 HNZ 200.0 \n", - "135 116.9 HNZ 200.0 \n", - "138 78.8 HNZ 200.0 \n", - "150 126.0 HNZ 200.0 " - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Filter the dataframe to only include stations with channel 'HNZ' and sample rate of 200.0\n", - "filtered_df_station = df_stations[(df_stations['channel'] == 'HNZ') & \n", - " (df_stations['sample_rate'] == 200.0) &\n", - " (df_stations['elevation'] > 50)] \n", - "print(f\"Number of stations after filtering: {len(filtered_df_station)}\")\n", - "filtered_df_station" - ] - }, - { - "cell_type": "markdown", - "id": "f863e174", - "metadata": {}, - "source": [ - "## **3. Data retrieval**" - ] - }, - { - "cell_type": "markdown", - "id": "2549a6a6", - "metadata": {}, - "source": [ - "#### **3.1 Data access** " - ] - }, - { - "cell_type": "markdown", - "id": "be565a5c", - "metadata": {}, - "source": [ - "Now that we have organized the station metadata, we can try to retrieve waveform from these stations. Please, read the notebook `2_seismic_data_example.ipynb` in cloud foundations series for details on Seismic data access.\n", - "\n", - "In brief, seismic data can be accessed through three ways: EarthScope's `dataselect` web service, `obspy` and public `S3` bucket (under development). Here we will access the data through obspy.\n", - "\n", - "Under the hood, `obspy` is using `dataselect` to access data. The `dataselect` service is now updated and cloud-optimized. This is why `obspy` will run significantly faster in a us-east-2 cloud environment (i.e., GeoLab) than it will on a local workstation.\n", - "\n", - "To use the `dataselect` service, an authorization token has to be obtained (for more details follow `Cloud Foundation` notebooks). However, a token is not required to access data using `obspy`" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "dfb1264e", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " network: UW\n", - " station: BILS\n", - " location: \n", - " channel: HNZ\n", - " starttime: 2018-11-19T11:07:13.130000Z\n", - " endtime: 2018-11-19T11:17:13.130000Z\n", - " sampling_rate: 200.0\n", - " delta: 0.005\n", - " npts: 120001\n", - " calib: 1.0\n", - "_fdsnws_dataselect_url: http://service.iris.edu/fdsnws/dataselect/1/query\n", - " _format: MSEED\n", - " mseed: AttribDict({'dataquality': 'M', 'number_of_records': 283, 'encoding': 'STEIM2', 'byteorder': '>', 'record_length': 512, 'filesize': 144896})\n", - " processing: ['ObsPy 1.4.2: trim(endtime=UTCDateTime(2018, 11, 19, 11, 17, 13, 130000)::fill_value=None::nearest_sample=True::pad=False::starttime=UTCDateTime(2018, 11, 19, 11, 7, 13, 130000))']\n" - ] - } - ], - "source": [ - "# Retrieve waveform data for a specific station and channel\n", - "st = client.get_waveforms(network=\"UW\", station=\"BILS\", location=\"*\", channel=\"HNZ\", starttime=t1, endtime=t2)\n", - "tr = st[0]\n", - "\n", - "print(tr.stats)" - ] - }, - { - "cell_type": "markdown", - "id": "135ad42f", - "metadata": {}, - "source": [ - "#### **3.2 Data availability on filtered stations**" - ] - }, - { - "cell_type": "markdown", - "id": "9b91e56b", - "metadata": {}, - "source": [ - "Metadata tells us which stations should exist, but it does not guarantee that every station has waveform data for this exact time window. Before scaling up, we test availability station by station." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "d393f9cf", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " 🔴 NP.2130\n", - " 🔴 NP.2158\n", - " 🔴 NP.2193\n", - " 🔴 NP.7007\n", - " 🔴 NP.7038\n", - " 🔴 NP.7039\n", - " 🔴 NP.7046\n", - " 🟢 US.NLWA\n", - " 🟢 UW.BILS\n", - " 🟢 UW.BLN\n", - " 🟢 UW.ERW\n", - " 🟢 UW.HURR\n", - " 🟢 UW.LWCK\n", - " 🟢 UW.MAC\n", - " 🟢 UW.OOW2\n", - " 🟢 UW.QCDG\n", - " 🟢 UW.QCEN\n", - " 🟢 UW.QCMM\n", - " 🟢 UW.QFRZ\n", - " 🔴 UW.QHOP\n", - " 🟢 UW.QOCL\n", - " 🟢 UW.QSKT\n", - " 🟢 UW.QTNB\n", - " 🟢 UW.UPL\n", - "\n", - "16 of 24 stations returned data.\n" - ] - }, - { - "data": { - "text/html": [ - "
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networkstationstart_datelatitudelongitudeelevationchannelsample_ratedata_available
5NP21301972-10-04T18:00:00.000000Z47.135560-122.57578080.0HNZ200.0False
8NP21581974-02-08T18:00:00.000000Z47.385570-123.605700247.0HNZ200.0False
11NP21931981-04-07T18:00:00.000000Z47.319640-122.58598094.0HNZ200.0False
17NP70071990-04-18T18:00:00.000000Z46.366230-122.559750295.0HNZ200.0False
45NP70382001-03-22T18:00:00.000000Z46.984910-122.90996060.0HNZ200.0False
48NP70392000-07-31T18:00:00.000000Z47.467600-123.84660068.0HNZ200.0False
60NP70462002-09-10T18:00:00.000000Z47.120120-122.56534081.0HNZ200.0False
75USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0True
78UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0True
81UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0True
87UWERW1997-12-01T00:00:00.000000Z48.453827-122.626121387.0HNZ200.0True
90UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0True
93UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0True
96UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0True
108UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0True
114UWQCDG2011-11-16T00:00:00.000000Z48.100020-122.58696052.2HNZ200.0True
117UWQCEN2012-06-14T00:00:00.000000Z46.716350-122.96190055.4HNZ200.0True
120UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0True
123UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0True
126UWQHOP2010-09-28T00:00:00.000000Z47.060920-122.83960062.0HNZ200.0False
132UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0True
135UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0True
138UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0True
150UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0True
\n", - "
" - ], - "text/plain": [ - " network station start_date latitude longitude \\\n", - "5 NP 2130 1972-10-04T18:00:00.000000Z 47.135560 -122.575780 \n", - "8 NP 2158 1974-02-08T18:00:00.000000Z 47.385570 -123.605700 \n", - "11 NP 2193 1981-04-07T18:00:00.000000Z 47.319640 -122.585980 \n", - "17 NP 7007 1990-04-18T18:00:00.000000Z 46.366230 -122.559750 \n", - "45 NP 7038 2001-03-22T18:00:00.000000Z 46.984910 -122.909960 \n", - "48 NP 7039 2000-07-31T18:00:00.000000Z 47.467600 -123.846600 \n", - "60 NP 7046 2002-09-10T18:00:00.000000Z 47.120120 -122.565340 \n", - "75 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", - "78 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", - "81 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", - "87 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", - "90 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", - "93 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", - "96 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", - "108 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", - "114 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", - "117 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", - "120 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", - "123 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", - "126 UW QHOP 2010-09-28T00:00:00.000000Z 47.060920 -122.839600 \n", - "132 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", - "135 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", - "138 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", - "150 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", - "\n", - " elevation channel sample_rate data_available \n", - "5 80.0 HNZ 200.0 False \n", - "8 247.0 HNZ 200.0 False \n", - "11 94.0 HNZ 200.0 False \n", - "17 295.0 HNZ 200.0 False \n", - "45 60.0 HNZ 200.0 False \n", - "48 68.0 HNZ 200.0 False \n", - "60 81.0 HNZ 200.0 False \n", - "75 640.0 HNZ 200.0 True \n", - "78 62.0 HNZ 200.0 True \n", - "81 601.0 HNZ 200.0 True \n", - "87 387.0 HNZ 200.0 True \n", - "90 1605.0 HNZ 200.0 True \n", - "93 60.4 HNZ 200.0 True \n", - "96 112.5 HNZ 200.0 True \n", - "108 741.0 HNZ 200.0 True \n", - "114 52.2 HNZ 200.0 True \n", - "117 55.4 HNZ 200.0 True \n", - "120 90.2 HNZ 200.0 True \n", - "123 56.4 HNZ 200.0 True \n", - "126 62.0 HNZ 200.0 False \n", - "132 53.3 HNZ 200.0 True \n", - "135 116.9 HNZ 200.0 True \n", - "138 78.8 HNZ 200.0 True \n", - "150 126.0 HNZ 200.0 True " - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Check data availability for the filtered stations\n", - "availability = []\n", - "for _, row in filtered_df_station.iterrows():\n", - " net = row['network']\n", - " sta = row['station']\n", - " chan = row['channel']\n", - " try:\n", - " st = client.get_waveforms(network=net, station=sta, location=\"*\", \n", - " channel=chan, starttime=t1, endtime=t2)\n", - " ok = any(len(tr.data) > 0 for tr in st)\n", - " except Exception:\n", - " ok = False\n", - " availability.append(ok)\n", - " print(f\" {'🟢' if ok else '🔴'} {net}.{sta}\")\n", - "\n", - "filtered_df_station['data_available'] = availability\n", - "n_ok = sum(availability)\n", - "print(f\"\\n{n_ok} of {len(filtered_df_station)} stations returned data.\")\n", - "filtered_df_station" - ] - }, - { - "cell_type": "markdown", - "id": "9bb90796", - "metadata": {}, - "source": [ - "#### **3.3 Visualize filtered stations**" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "5de67675", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig = plt.figure(figsize=(6, 6))\n", - "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n", - "\"\"\"Add land/ocean/coastline context and frame the search box.\"\"\"\n", - "ax.set_extent([min_lon, max_lon, min_lat, max_lat], crs=ccrs.PlateCarree())\n", - "ax.add_feature(cfeature.LAND, facecolor=\"#f3f0ea\")\n", - "ax.add_feature(cfeature.OCEAN, facecolor=\"#dcebf2\")\n", - "ax.add_feature(cfeature.COASTLINE, linewidth=0.6)\n", - "ax.add_feature(cfeature.STATES, linestyle=\":\", linewidth=0.4)\n", - "gl = ax.gridlines(draw_labels=True, linewidth=0.3, color=\"gray\", alpha=0.5)\n", - "gl.top_labels = gl.right_labels = False\n", - "\n", - "for _, row in filtered_df_station.iterrows():\n", - " ok = row['data_available']\n", - " if ok:\n", - " ax.scatter(row['longitude'], row['latitude'], marker=\"o\", s=40,\n", - " facecolors=\"none\", edgecolors=\"green\", linewidths=2.2,\n", - " transform=ccrs.PlateCarree(), zorder=5)\n", - " else:\n", - " ax.scatter(row['longitude'], row['latitude'], marker=\"x\", s=40,\n", - " color=\"red\", linewidths=2.2,\n", - " transform=ccrs.PlateCarree(), zorder=5)\n", - "\n", - "ax.scatter(evlons, evlats, marker=\"*\", s=150, color=\"navy\",\n", - " transform=ccrs.PlateCarree(), zorder=6)\n", - "\n", - "n_ok = int(filtered_df_station['data_available'].sum())\n", - "ax.set_title(f\"{n_ok}/{len(filtered_df_station)} stations have data\")\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "6d8afe4f", - "metadata": {}, - "source": [ - "#### **3.4 Generate final station metadata table**" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "id": "1d5fbeff", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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123UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0True
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" - ], - "text/plain": [ - " network station start_date latitude longitude \\\n", - "75 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", - "78 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", - "81 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", - "87 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", - "90 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", - "93 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", - "96 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", - "108 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", - "114 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", - "117 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", - "120 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", - "123 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", - "132 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", - "135 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", - "138 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", - "150 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", - "\n", - " elevation channel sample_rate data_available \n", - "75 640.0 HNZ 200.0 True \n", - "78 62.0 HNZ 200.0 True \n", - "81 601.0 HNZ 200.0 True \n", - "87 387.0 HNZ 200.0 True \n", - "90 1605.0 HNZ 200.0 True \n", - "93 60.4 HNZ 200.0 True \n", - "96 112.5 HNZ 200.0 True \n", - "108 741.0 HNZ 200.0 True \n", - "114 52.2 HNZ 200.0 True \n", - "117 55.4 HNZ 200.0 True \n", - "120 90.2 HNZ 200.0 True \n", - "123 56.4 HNZ 200.0 True \n", - "132 53.3 HNZ 200.0 True \n", - "135 116.9 HNZ 200.0 True \n", - "138 78.8 HNZ 200.0 True \n", - "150 126.0 HNZ 200.0 True " - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# finally, create a new dataframe that only includes stations with data available\n", - "station_dataframe = filtered_df_station[(filtered_df_station['data_available'] == True)]\n", - "station_dataframe" - ] - }, - { - "cell_type": "markdown", - "id": "4c911927", - "metadata": {}, - "source": [ - "## **4. Data Store**" - ] - }, - { - "cell_type": "markdown", - "id": "dc4d9ff4", - "metadata": {}, - "source": [ - "In this section we will store our station metadata table. Since raw waveform data is always available to stream, we do not need to store them anymore. The metadata table is sufficient to retrieve waveform when needed." - ] - }, - { - "cell_type": "markdown", - "id": "1867d5b3", - "metadata": {}, - "source": [ - "For storage, we have three options in GeoLab.\n", - "1. User home directories (any folder under `/home/jovyan`): 50 GB permanent storage (if GeoLab is accessed at least once in every six months)\n", - "2. The `\\tmp` directory (a writable directory): A fast SSD drive with larger than the home directory, where data will be deleted every time the user logged out of GeoLab.\n", - "3. `scratch` bucket storage: A temporary S3 cloud storage bucket for large datasets which will be deleted after 7 days." - ] - }, - { - "cell_type": "markdown", - "id": "1849e068", - "metadata": {}, - "source": [ - "#### **4.1 Save event parameters** " - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "a60de84b", - "metadata": {}, - "outputs": [], - "source": [ - "import json\n", - "# Store event-selection parameters in a dictionary\n", - "event_selection = {\n", - " \"event_time\": str(event_time),\n", - " \"target_channel\": target_channel,\n", - " \"pre_event_seconds\": 120,\n", - " \"post_event_seconds\": 480,\n", - " \"start_time\": str(t1),\n", - " \"end_time\": str(t2)\n", - "}\n", - "\n", - "# Save as JSON\n", - "with open(\"event_selection.json\", \"w\") as f:\n", - " json.dump(event_selection, f, indent=4)" - ] - }, - { - "cell_type": "markdown", - "id": "c30dc6ae", - "metadata": {}, - "source": [ - "#### **4.2 Save metadata**" - ] - }, - { - "cell_type": "markdown", - "id": "16e5750b", - "metadata": {}, - "source": [ - "Because, the metadata table is small in size and we will need it consistently, the home directory is the best place to store it." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "id": "eda15b59", - "metadata": {}, - "outputs": [], - "source": [ - "# Save the filtered station dataframe to a CSV file\n", - "station_dataframe.to_csv(\"station_dataframe.csv\", index=False)\n", - "\n", - "# Save Station Inventory as StationXML\n", - "st_inv.write(\"station_inventory.xml\", format=\"STATIONXML\")\n", - "\n", - "# Save the event catalog to a QuakeML file\n", - "ev_catalog.write(\"event_catalog.xml\", format=\"QUAKEML\")" - ] - }, - { - "cell_type": "markdown", - "id": "b1391698", - "metadata": {}, - "source": [ - "#### **4.2 Size estimation of selected data**" - ] - }, - { - "cell_type": "markdown", - "id": "b16a8274", - "metadata": {}, - "source": [ - "For any cloud-scale work, a useful habit is to predict the data volume before requesting it. For each user, GeoLab has a resource quota. So it is necessary to be mindful of data volume we are requesting.\n", - "\n", - "The arithmetic is simple —\n", - "\n", - "$$\\text{bytes} \\approx n_{\\text{channels}} \\times \\text{sample rate} \\times \\text{duration (s)} \\times \\text{bytes per sample}$$\n", - "\n", - "miniSEED is compressed, so this is an *upper bound* on the uncompressed size" - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "id": "cb97ee4c", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "~16 channels x 200.0 Hz x 600.0s\n", - "Estimated upper-bound volume: 7.7 MB\n" - ] - } - ], - "source": [ - "# Estimate the uncompressed size of the waveform request.\n", - "sample_rate = station_dataframe[\"sample_rate\"].iloc[0]\n", - "duration_s = t2 - t1 # seconds in the requested waveform window\n", - "n_channels = len(station_dataframe)\n", - "\n", - "nbytes = n_channels * sample_rate * duration_s * 4\n", - "mb = nbytes / 1e6\n", - "\n", - "print(f\"~{n_channels} channels x {sample_rate} Hz x {duration_s}s\")\n", - "print(f\"Estimated upper-bound volume: {mb:.1f} MB\")" - ] - }, - { - "cell_type": "markdown", - "id": "b1c28f0c", - "metadata": {}, - "source": [ - "## **Reflection**" - ] - }, - { - "cell_type": "markdown", - "id": "fb42fc5d", - "metadata": {}, - "source": [ - "In this notebook, you have gove over exploratory steps on seismic data discovery and retrieval in GeoLab, the cloud-platform provided by EarthScope. You have generated an event catalogue and station inventory which you have filtered based on station metadata so that it matches your science workflow. At the end, you store the results of your exploration.\n", - "\n", - "> **Suppose, you need to go through this data discovery and retrieval steps several times, either to collect data for multiple regions or have an iterative workflow to select your dataset. In any case, which platform do you think will be faster and efficient for data discovery and retrieval, GeoLab or Local Workstation?**" - ] - }, - { - "cell_type": "markdown", - "id": "bb21e5fa", - "metadata": {}, - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.10" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb b/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb deleted file mode 100644 index 6e652ce..0000000 --- a/tutorials/MVP1-SAGE/Notebook2_mvp1.ipynb +++ /dev/null @@ -1,1960 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "733e96ed", - "metadata": {}, - "source": [ - "# **Notebook 2** - Inspecting & Processing Seismic Data\n", - "\n", - "### MVP1 goals: Data inspection, preprocessing, visualizations" - ] - }, - { - "cell_type": "markdown", - "id": "60662fae", - "metadata": {}, - "source": [ - "This notebook continues the cloud-based seismic workflow started in **Notebook 1**. In **Notebook 1**, we discovered an earthquake event, selected stations, checked waveform availability, and saved reusable event and station metadata. In this notebook, we will use those saved products to retrieve waveform data, inspect waveform quality, apply basic preprocessing steps, and evaluate whether the processed waveform is ready for analysis.\n", - "\n", - "The main workflow in this notebook is:\n", - "\n", - "```\n", - "saved event and station metadata\n", - " → waveform streaming\n", - " → waveform inspection\n", - " → preprocessing\n", - " → quality control\n", - " → analysis-ready waveform\n", - "```\n", - "**Why this workflow is useful**\n", - "\n", - "Raw seismic waveforms are not automatically analysis-ready. A waveform downloaded from a data service may contain multiple trace segments, timing gaps or overlaps, instrument effects, raw digital counts, background noise, or frequency content that is not useful for the scientific question.\n", - "\n", - "Before interpreting the signal, we need to inspect the waveform and apply a careful sequence of preprocessing steps. This notebook shows how to move from raw downloaded waveform data toward a cleaner and more standardized waveform that can support later analysis.\n", - "\n", - "GeoLab is useful for this stage because it lets you test preprocessing choices interactively in the same cloud environment where data discovery and retrieval were performed. Instead of repeatedly downloading data to a local machine, you can explore waveform quality, adjust processing parameters, and prepare a reusable processing recipe that can later be applied to a larger dataset.\n", - "\n", - "**What you will accomplish**\n", - "\n", - "By the end of this notebook, you will have:\n", - "\n", - "1. loaded the event and station metadata saved from Notebook 1;\n", - "2. retrieved waveform data for selected stations using ObsPy;\n", - "3. inspected waveform streams for multiple traces, gaps, and overlaps;\n", - "4. visualized raw waveform data for quality control;\n", - "5. trimmed the waveform around the signal of interest;\n", - "6. removed the instrument response to convert raw counts into physical ground-motion units;\n", - "7. inspected the frequency content of the waveform using a spectrogram;\n", - "8. applied a filter to reduce unwanted noise; and\n", - "9. compared unfiltered and filtered waveforms before treating the result as analysis-ready.\n", - "\n", - "**Prerequisites**\n", - "\n", - "Before starting this notebook, you should have:\n", - "\n", - "- access to EarthScope GeoLab and a running JupyterLab session;\n", - "- basic familiarity with Python;\n", - "- basic familiarity with seismic data processing including `obspy`;\n", - "- a GeoLab environment with the following Python packages available: `obspy`, `pandas`, `matplotlib`, `cartopy`, and `json`;\n", - "\n", - "You should complete **Notebook 1 — Discovering and Retrieving Seismic Data** before starting this notebook.\n", - "\n", - "**Notebook 2** depends on files created in Notebook 1: `station_inventory.xml`, `station_dataframe.csv`,\n", - "`event_selection.json`\n", - "\n", - "These files provide the station inventory, filtered station table, event time, waveform time window, and target channel used in this notebook.\n", - "\n", - "**Recommended GeoLab compute resources**\n", - "- **Image**: Use the course-provided GeoLab image that includes the seismic and scientific Python stack, including obspy, pandas, matplotlib, scipy, and numpy. Replace this sentence with the exact image name shown in your GeoLab deployment.\n", - "- **Server size**: A Small server should be sufficient for the default version of this notebook because it works with short waveform windows and a limited number of stations. Use a Medium server if you expand the notebook to many stations, longer waveform windows, repeated filtering tests, or larger waveform-processing experiments.\n", - "\n", - "\n", - "\n", - "Raw seismic waveforms are not automatically analysis-ready. When we download a seismogram from a data service, the waveform may contain multiple trace segments, timing gaps or overlaps, raw digital counts, instrument effects, background noise, or frequency content that is not useful for the scientific question we want to ask. Before we can interpret the signal, we need to understand what is inside the waveform and apply a careful sequence of preprocessing steps.\n", - "\n", - "**Learning objectives**\n", - "\n", - "After completing this notebook, you will be able to:\n", - "\n", - "1. Inspect ObsPy Stream and Trace objects to identify waveform segmentation, gaps, and overlaps.\n", - "2. Apply basic waveform preprocessing steps, including trimming, instrument-response removal, and filtering.\n", - "3. Use visualizations such as waveform plots and spectrograms to guide processing decisions.\n", - "4. Explain how preprocessing choices help turn raw seismic data into analysis-ready waveform products.\n", - "\n", - "---" - ] - }, - { - "cell_type": "markdown", - "id": "47c9afe1", - "metadata": {}, - "source": [ - "**Our first task is to read the metadata table we saved in Notebook 1.**" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "id": "b4440452", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " network station start_date latitude longitude \\\n", - "0 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", - "1 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", - "2 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", - "3 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", - "4 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", - "5 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", - "6 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", - "7 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", - "8 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", - "9 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", - "10 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", - "11 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", - "12 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", - "13 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", - "14 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", - "15 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", - "\n", - " elevation channel sample_rate data_available \n", - "0 640.0 HNZ 200.0 True \n", - "1 62.0 HNZ 200.0 True \n", - "2 601.0 HNZ 200.0 True \n", - "3 387.0 HNZ 200.0 True \n", - "4 1605.0 HNZ 200.0 True \n", - "5 60.4 HNZ 200.0 True \n", - "6 112.5 HNZ 200.0 True \n", - "7 741.0 HNZ 200.0 True \n", - "8 52.2 HNZ 200.0 True \n", - "9 55.4 HNZ 200.0 True \n", - "10 90.2 HNZ 200.0 True \n", - "11 56.4 HNZ 200.0 True \n", - "12 53.3 HNZ 200.0 True \n", - "13 116.9 HNZ 200.0 True \n", - "14 78.8 HNZ 200.0 True \n", - "15 126.0 HNZ 200.0 True " - ] - }, - "execution_count": 1, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# first we read the inventory and metadata that we saved in Notebook1_mvp1.ipynb\n", - "from obspy import read_inventory\n", - "st_inv = read_inventory(\"station_inventory.xml\")\n", - "\n", - "import pandas as pd\n", - "st_df = pd.read_csv(\"station_dataframe.csv\")\n", - "\n", - "import json\n", - "from obspy import UTCDateTime\n", - "\n", - "with open(\"event_selection.json\", \"r\") as f:\n", - " event_selection = json.load(f)\n", - "\n", - "event_time = UTCDateTime(event_selection[\"event_time\"])\n", - "t1 = UTCDateTime(event_selection[\"start_time\"])\n", - "t2 = UTCDateTime(event_selection[\"end_time\"])\n", - "target_channel = event_selection[\"target_channel\"]\n", - "\n", - "st_df\n" - ] - }, - { - "cell_type": "markdown", - "id": "55a2b854", - "metadata": {}, - "source": [ - "**Connection to EarthScope Client**" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "cd74ccb5", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "FDSN Webservice Client (base url: https://service.earthscope.org)\n", - "Available Services: 'dataselect' (v1.1.65), 'station' (v1.1.56)\n", - "\n", - "Use e.g. client.help('dataselect') for the\n", - "parameter description of the individual services\n", - "or client.help() for parameter description of\n", - "all webservices." - ] - }, - "execution_count": 2, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from obspy.clients.fdsn import Client\n", - "client = Client(\"https://service.earthscope.org\")\n", - "client" - ] - }, - { - "cell_type": "markdown", - "id": "8b1aec5d", - "metadata": {}, - "source": [ - "## **1. Data Inspection**" - ] - }, - { - "cell_type": "markdown", - "id": "f814a19f", - "metadata": {}, - "source": [ - "#### **1.1 Waveform inspection--Gaps/Overlaps**" - ] - }, - { - "cell_type": "markdown", - "id": "765d3bc1", - "metadata": {}, - "source": [ - "\n", - "When waveform data are requested using ObsPy, the returned object is a `Stream`. A `Stream` is a container that can hold one or more `Trace` objects. In many simple cases, a request for one station, one channel, and one time window returns a single continuous `Trace`. However, it is also common for the returned `Stream` to contain multiple `Trace` objects.\n", - "\n", - "Multiple traces inside one `Stream` do not automatically mean that something is wrong with the data. They simply indicate that the waveform was returned as separate segments. These segments may represent truly discontinuous data, but they may also be perfectly continuous in time and only separated internally by the data service.\n", - "\n", - "There are several possible reasons why a single waveform request may return multiple traces:\n", - "\n", - "- the waveform contains a real data gap,\n", - "- two waveform segments overlap in time,\n", - "- the waveform is split into adjacent but continuous time segments,\n", - "- there is a small timing break between packets,\n", - "- or the data service stores and returns the waveform in multiple pieces.\n", - "\n", - "Gaps can result from loss of power at the recording station or interruptions with the data transfer. For data overlap, clock drifts and corrections can be one of the reason.\n", - "\n", - "A `Stream` with more than one trace may still have no actual gaps or overlaps. To determine whether the trace segments are truly discontinuous, we should use ObsPy’s built-in `get_gaps()` method.\n", - "\n", - "The `get_gaps()` method checks the timing relationship between adjacent traces in the `Stream`. It reports both gaps and overlaps. A positive time difference indicates a gap, while a negative time difference indicates an overlap. If `get_gaps()` returns an empty list, then ObsPy did not detect any gaps or overlaps, even if the `Stream` contains multiple traces.\n", - "\n", - "In the code below, we loop through each station in the dataframe, request waveform data for the selected time window, and then inspect the returned `Stream`. For each station, we print the number of traces retrieved and check whether ObsPy detects any gaps or overlaps. This allows us to distinguish between waveforms that are merely split into multiple continuous segments and waveforms that contain actual timing problems.\n", - "\n", - "This step is useful before merging, plotting, or applying further processing. If no gaps or overlaps are detected, the traces can usually be merged safely. If gaps or overlaps are detected, the waveform should be inspected more carefully before deciding how to handle missing or duplicated data." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "e1961696", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "\n", - "Station NLWA (US)\n", - "Retrieved 2 trace(s)\n", - " Trace 1: US.NLWA.20.HNZ, 2018-11-19T11:07:59.735000Z to 2018-11-19T11:09:06.510000Z, npts=13356, dt=0.005\n", - " Trace 2: US.NLWA.20.HNZ, 2018-11-19T11:09:06.515000Z to 2018-11-19T11:11:28.110000Z, npts=28320, dt=0.005\n" - ] - }, - { - "data": { - "text/html": [ - "
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" - ], - "text/plain": [ - " network station start_date latitude longitude \\\n", - "0 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", - "1 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", - "2 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", - "3 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", - "4 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", - "5 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", - "6 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", - "7 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", - "8 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", - "9 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", - "10 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", - "11 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", - "12 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", - "13 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", - "14 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", - "15 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", - "\n", - " elevation channel sample_rate data_available gaps_detected \n", - "0 640.0 HNZ 200.0 True False \n", - "1 62.0 HNZ 200.0 True False \n", - "2 601.0 HNZ 200.0 True False \n", - "3 387.0 HNZ 200.0 True False \n", - "4 1605.0 HNZ 200.0 True False \n", - "5 60.4 HNZ 200.0 True False \n", - "6 112.5 HNZ 200.0 True False \n", - "7 741.0 HNZ 200.0 True False \n", - "8 52.2 HNZ 200.0 True False \n", - "9 55.4 HNZ 200.0 True False \n", - "10 90.2 HNZ 200.0 True False \n", - "11 56.4 HNZ 200.0 True False \n", - "12 53.3 HNZ 200.0 True False \n", - "13 116.9 HNZ 200.0 True False \n", - "14 78.8 HNZ 200.0 True False \n", - "15 126.0 HNZ 200.0 True False " - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Retrieve waveform data for each station in the DataFrame and store information data gaps\n", - "gaps_info = [] # Initialize an empty list to store gap information\n", - "for i in range(len(st_df)):\n", - "\n", - " # 1. go through each row in the DataFrame\n", - " row_number = i \n", - "\n", - " # 2. Retrieve the station and network codes from the DataFrame\n", - " station = st_df.iloc[row_number].station\n", - " network = st_df.iloc[row_number].network\n", - " \n", - " # 3. Retrieve the waveform data for the specified station and channel\n", - " st = client.get_waveforms(\n", - " network=network,\n", - " station=station,\n", - " location=\"*\",\n", - " channel=\"HNZ\",\n", - " starttime=t1,\n", - " endtime=t2\n", - " )\n", - "\n", - " # 4. Sort the traces in the stream by start time\n", - " st.sort() \n", - "\n", - " # 5. Print statement if more than one trace is retrieved for the station\n", - " if len(st) > 1:\n", - " print(f\"\\nStation {station} ({network})\")\n", - " print(f\"Retrieved {len(st)} trace(s)\")\n", - "\n", - " for j, tr in enumerate(st):\n", - " print(\n", - " f\" Trace {j+1}: {tr.id}, \" # 5.1 Print the trace ID\n", - " f\"{tr.stats.starttime} to {tr.stats.endtime}, \" # 5.2 Print the start and end times of the trace\n", - " f\"npts={tr.stats.npts}, \" # 5.3 Print the number of points in the trace\n", - " f\"dt={tr.stats.delta}\" # 5.4 Print the sample interval of the trace\n", - " )\n", - "\n", - " # 6. Check for gaps in the stream\n", - " gaps = st.get_gaps()\n", - " if not gaps:\n", - " gaps_info.append(False) # Append False to the gaps list if no gaps are detected\n", - " else:\n", - " gaps_info.append(True) # Append True to the gaps list if gaps are detected\n", - " for gap in gaps:\n", - " print(gap)\n", - "\n", - "st_df[\"gaps_detected\"] = gaps_info # Add the gaps information to the DataFrame\n", - "st_df" - ] - }, - { - "cell_type": "markdown", - "id": "57577cd8", - "metadata": {}, - "source": [ - "In the next code snippet you can plot seismic traces using information from the station dataframe for visual inspection. You should at least visualize the station for which you received mutiple traces to get a better idea of the data segmentation." - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "f13d54e8", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Retrieved 2 traces for station NLWA (US)\n" - ] - }, - { - "data": { - "image/png": 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", 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "row_number = 0 # You can change this to any row number you want to retrieve\n", - "\n", - "# Retrieve waveform data for a specific station and channel\n", - "st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", - " station=st_df.iloc[row_number].station, location=\"*\", \n", - " channel='HNZ', starttime=t1, endtime=t2)\n", - "\n", - "print(f\"Retrieved {len(st)} traces for station {st_df.iloc[row_number].station} ({st_df.iloc[row_number].network})\")\n", - "\n", - "import matplotlib.pyplot as plt\n", - "import matplotlib.dates as mdates\n", - "\n", - "tr_no = 0\n", - "for tr in st:\n", - " tr_no += 1 # Count the trace number in the stream\n", - "\n", - " # Convert ObsPy UTCDateTime values to Python datetime objects\n", - " # Convert each sample time to UTC datetime\n", - " utc_times = [\n", - " (tr.stats.starttime + i * tr.stats.delta).datetime\n", - " for i in range(tr.stats.npts)\n", - " ]\n", - " \n", - " plt.figure(figsize=(12, 3))\n", - " plt.plot(utc_times, tr.data)\n", - " plt.title(f\"Waveform Data for {tr.id} [Trace Number: {tr_no}]\")\n", - " plt.xlabel(\"UTC Time\")\n", - " plt.ylabel(\"Amplitude\")\n", - "\n", - " plt.tight_layout()\n", - " plt.grid(True)\n", - " plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "f3b0823d", - "metadata": {}, - "source": [ - "In cases of multiple `Trace` objects inside a single `Stream` object, the traces can be combined using ObsPy's `merge()` method. If there are no gaps, you can put `fill_value = \"None\"`. But if there are gaps in the data, you should use `fill_value = \"Interpolate\"`." - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "efd2e64b", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "st.merge(method=1, fill_value=\"None\") # Merge the traces in the stream\n", - "tr = st[0] \n", - "utc_times = [\n", - " (tr.stats.starttime + i * tr.stats.delta).datetime\n", - " for i in range(tr.stats.npts)\n", - "]\n", - "plt.figure(figsize=(12, 3))\n", - "plt.plot(utc_times, tr.data)\n", - "plt.title(f\"Waveform Data for {tr.id} [Merged Trace]\")\n", - "plt.xlabel(\"UTC Time\")\n", - "plt.ylabel(\"Amplitude\")\n", - "\n", - "plt.tight_layout()\n", - "plt.grid(True)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "7d804253", - "metadata": {}, - "source": [ - "## **2. Preprocessing**" - ] - }, - { - "cell_type": "markdown", - "id": "4f89d7e8", - "metadata": {}, - "source": [ - "#### **2.1 Trim waveform around signal**" - ] - }, - { - "cell_type": "markdown", - "id": "9864d949", - "metadata": {}, - "source": [ - "After retrieving the complete waveform, the next step is to isolate the portion of the record that contains the signal we want to analyze. In this example, the signal of interest is the earthquake arrival which is visible within the longer waveform window.\n", - "\n", - "The original waveform request usually includes extra time before and after the event. This is useful during data retrieval because it gives us enough context to inspect the background noise, identify the signal arrival, and avoid accidentally cutting off important parts of the waveform. However, for later processing steps, we often want to work with a shorter time window centered around the main signal.\n", - "\n", - "Trimming the waveform has several advantages:\n", - "\n", - "- it removes unnecessary pre-event and post-event noise,\n", - "- it makes the signal easier to visualize,\n", - "- it reduces the amount of data used in later processing,\n", - "- and it helps focus the analysis on the part of the waveform that contains useful seismic energy.\n", - "\n", - " Below, try to modify the `time_pick1` and `time_pick2` to cut the waveform around the signal. These values are measured in seconds after the start of the requested waveform. They define the start and end of the trimmed window." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "0fe5e488", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# 1. Specify the time window for trimming the waveform data\n", - "time_pick1 = 80\n", - "time_pick2 = 110\n", - "\n", - "# 2.Specify the row number of the station you want to retrieve waveform data for\n", - "row_number = 0\n", - "st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", - " station=st_df.iloc[row_number].station, location=\"*\", \n", - " channel='HNZ', starttime=t1, endtime=t2)\n", - "if len(st)>1: # Check if there are multiple traces in the stream\n", - " st.sort() # Sort the traces in the stream by start time\n", - " st.merge(method=1, fill_value=\"None\") # Merge the traces in the stream (change fill_value for gaps/overlaps)\n", - "tr = st[0] # Get the trace from the stream\n", - "utc_times = [\n", - " (tr.stats.starttime + i * tr.stats.delta).datetime\n", - " for i in range(tr.stats.npts)\n", - "]\n", - "\n", - "# 3. Plot the complete waveform and the trimmed waveform\n", - "plt.figure(figsize=(12, 4))\n", - "plt.subplot(2,1,1)\n", - "plt.plot(utc_times,tr.data)\n", - "plt.xlabel(\"UTC Time\")\n", - "plt.title(\"Complete Waveform Requested\")\n", - "plt.grid()\n", - "\n", - "tr_trim = tr.copy() # Create a copy of the trace to trim\n", - "tr_trim.trim(starttime=tr.stats.starttime+time_pick1, endtime=tr.stats.starttime+time_pick2)\n", - "utc_times_trim = [\n", - " (tr_trim.stats.starttime + i * tr_trim.stats.delta).datetime\n", - " for i in range(tr_trim.stats.npts)\n", - "]\n", - "plt.subplot(2,1,2)\n", - "plt.plot(utc_times_trim, tr_trim.data)\n", - "plt.xlabel(\"UTC Time\")\n", - "plt.title(\"Trimmed Waveform\")\n", - "plt.grid()\n", - "\n", - "plt.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "id": "ac1a6467", - "metadata": {}, - "source": [ - "#### **2.2 Deconvolve instrument response**" - ] - }, - { - "cell_type": "markdown", - "id": "246a8b58", - "metadata": {}, - "source": [ - "The waveform plotted in the previous section is still in **raw digital counts**. These counts are the values recorded by the seismometer and digitizer, but they are not yet physical ground-motion units such as displacement, velocity, or acceleration.\n", - "\n", - "A seismic instrument does not measure ground motion in a perfectly direct way. When the ground moves, the sensor and recording system transform that motion through the instrument’s mechanical and electronic response. The result is a digital waveform whose amplitude depends not only on the true ground motion, but also on the sensitivity and frequency response of the instrument.\n", - "\n", - "To convert the waveform from raw counts into physically meaningful units, we need to remove, or **deconvolve**, the instrument response. This correction uses the station metadata stored in the ObsPy `Inventory` object. The inventory contains the information needed to describe how the instrument modifies the incoming ground motion." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "id": "e3b0b7ea", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "Text(0.5, 1.0, 'Waveform After Instrument Response Removal')" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Apply instrument response\n", - "tr_corrected = tr_trim.copy()\n", - "tr_corrected.remove_response(inventory=st_inv, output=\"ACC\") # Specify output units\n", - "\n", - "plt.figure(figsize=(12, 2))\n", - "plt.plot(tr_corrected.times(), tr_corrected.data)\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Acceleration (m/s^2)\")\n", - "plt.title(\"Waveform After Instrument Response Removal\")" - ] - }, - { - "cell_type": "markdown", - "id": "279d4b90", - "metadata": {}, - "source": [ - "#### **2.3 Noise reduction**" - ] - }, - { - "cell_type": "markdown", - "id": "ce45d432", - "metadata": {}, - "source": [ - "In this section we will try to reduce noise of the waveform. To reduce this unwanted energy, we first inspect the frequency content of the waveform using a **spectrogram**. A spectrogram shows how signal energy is distributed through both **time** and **frequency**. This is useful because an earthquake signal is not equally strong at all frequencies. Instead, most of the useful seismic energy is usually concentrated within a limited frequency band.\n", - "\n", - "In the output spectrogram below, brighter regions indicate stronger signal energy. By examining where the energy is most prominent, we can choose a filter band that preserves the main earthquake signal while suppressing frequencies dominated by noise. The dashed horizontal lines mark the approximate frequency range selected for filtering." - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "bb2b88cd", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "from scipy import signal\n", - "import numpy as np\n", - "\n", - "# Sampling rate of the data\n", - "fs = tr_corrected.stats.sampling_rate\n", - "\n", - "# Set window size and overlap for the spectrogram\n", - "nperseg = 700\n", - "noverlap = nperseg - 10\n", - "\n", - "# Compute the spectrogram\n", - "f, t_spec, Sxx = signal.spectrogram(tr_corrected.data, fs=fs, nperseg=nperseg, noverlap=noverlap)\n", - "\n", - "# Adjust spectrogram time axis to match slice duration\n", - "t_spec = np.linspace(0, tr_corrected.times()[-1], Sxx.shape[1])\n", - "\n", - "plt.figure(figsize=(12, 4))\n", - "plt.subplot(2,1,1)\n", - "plt.pcolormesh(t_spec, f, np.abs(Sxx), shading='gouraud')\n", - "plt.ylim(0, 10)\n", - "plt.axhline(y=2, color='red', linestyle='--', linewidth=1)\n", - "plt.axhline(y=9, color='red', linestyle='--', linewidth=1)\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Frequency (Hz)\")\n", - "plt.title(\"Spectrogram of Trimmed Waveform\")\n", - "\n", - "tr_filt = tr_corrected.copy()\n", - "\n", - "# Bandpass between minimum and maximum frequencies, 4-pole Butterworth, zero-phase\n", - "tr_filt.detrend(\"demean\") # remove DC offset\n", - "tr_filt.detrend(\"linear\") # remove linear trend\n", - "tr_filt.taper(max_percentage=0.05, type=\"hann\") # taper the ends to zero\n", - "tr_filt.filter(\"bandpass\",\n", - " freqmin=2.0,\n", - " freqmax=9.0,\n", - " corners=4,\n", - " zerophase=True)\n", - "\n", - "plt.subplot(2,1,2)\n", - "plt.plot(tr_filt.times(), tr_filt.data)\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Acceleration (m/s^2)\")\n", - "plt.title(\"Filtered Waveform\")\n", - "plt.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "id": "306b302b", - "metadata": {}, - "source": [ - "#### **2.4 Stage analysis ready formats**" - ] - }, - { - "cell_type": "markdown", - "id": "087d0335", - "metadata": {}, - "source": [ - "At this point, we have the filtered version of the waveform. Before treating it as analysis-ready, we should compare the waveform **before** and **after** filtering. This is an important quality-control step because filtering should reduce unwanted noise without distorting the earthquake signal that we want to study.\n", - "\n", - "As we compare the unfiltered and filtered waveforms, we need to ask ourselves:\n", - "- Does the filtered waveform look cleaner than the original waveform?\n", - "- Has low-frequency drift or high-frequency noise been reduced?\n", - "- Is the main earthquake signal still preserved?\n", - "- Are the arrival time and overall waveform shape still reasonable?\n", - "- Did the filter remove anything that may be scientifically useful?\n", - "- Did the filter introduce any artificial ringing or distortion?\n", - "\n", - "If the filtered waveform improves signal clarity while preserving the main arrival and waveform shape, then we can treat this processing sequence as a good candidate for producing an **analysis-ready waveform**. This means the waveform has been cleaned, standardized, documented, and stored in a way that makes it ready for repeated scientific use.\n", - "\n", - "In a small example like this notebook, we can manually inspect one waveform, choose preprocessing parameters, and then apply them to a few more stations. However, for a large seismic dataset, this approach becomes more challenging. Downloading, trimming, correcting, filtering, and saving each waveform one by one can become slow and computationally expensive.\n", - "\n", - "There are two general ways to move from single-waveform preprocessing to dataset-scale analysis.\n", - "\n", - "**Pathway 1:** Process every waveform individually\n", - "\n", - "In this workflow, each waveform is downloaded, preprocessed, inspected, and saved individually. This is simple and transparent, but it can become inefficient for large datasets. Repeated waveform downloads and repeated local processing can stress the local workstation by increasing pressure on RAM, disk storage, disk cache, CPU time, and network bandwidth.\n", - "\n", - "**Pathway 2:** Explore parameters first, then stage analysis-ready products\n", - "\n", - "A more scalable workflow is to first explore a representative subset of waveforms. Once the preprocessing choices are understood, those parameters can be applied consistently across the larger dataset.\n", - "\n", - ">Access waveform subset\n", - " → explore preprocessing parameters\n", - " → choose stable processing settings\n", - " → apply settings to larger dataset\n", - " → save analysis-ready waveform products\n", - "\n", - "This second pathway is often more efficient because the expensive exploration step is done on a smaller subset of data. Once the processing recipe is selected, the same workflow can be applied at scale." - ] - }, - { - "cell_type": "markdown", - "id": "d28e097b", - "metadata": {}, - "source": [ - "## **3. Visualization-guided processing decisions**" - ] - }, - { - "cell_type": "markdown", - "id": "bbef1529", - "metadata": {}, - "source": [ - "In this section, we will use waveform visualizations to choose processing parameters for each station.\n", - "\n", - "The goal is not to permanently save every processed waveform. Instead, we will save the **processing recipe** needed to reproduce the processed waveform later. This includes:\n", - "\n", - "- the trimming start time;\n", - "- the trimming end time;\n", - "- the minimum frequency for the bandpass filter;\n", - "- the maximum frequency for the bandpass filter;\n", - "- a simple QC decision for whether the waveform should be used later.\n", - "\n", - "This keeps the workflow lightweight. The waveform data can be retrieved again using the **processing recipe** that we save." - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "id": "8e905bd0", - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "# Function to process waveform data for a specific station in the DataFrame\n", - "def process_waveform(row_number, time_pick1, time_pick2, freqmin, freqmax):\n", - " # -------------------------------------------------------------\n", - " # 1. Retrieve waveform data and go through the processing steps\n", - " # -------------------------------------------------------------\n", - " st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", - " station=st_df.iloc[row_number].station, location=\"*\", \n", - " channel='HNZ', starttime=t1, endtime=t2)\n", - "\n", - " if len(st)>1: # Check if there are multiple traces in the stream\n", - " st.sort() # Sort the traces in the stream by start time\n", - " st.merge(method=1, fill_value=\"None\") # Merge the traces in the stream \n", - " #(change fill_value for gaps/overlaps)\n", - " tr = st[0] # Get the trace from the stream\n", - "\n", - " tr_trim = tr.copy() # Trim the trace to the specified time window\n", - " tr_trim.trim(starttime=tr.stats.starttime+time_pick1, endtime=tr.stats.starttime+time_pick2)\n", - "\n", - " tr_corrected = tr_trim.copy() # Apply instrument response\n", - " tr_corrected.remove_response(inventory=st_inv, output=\"ACC\") # Specify output units\n", - "\n", - " fs = tr_corrected.stats.sampling_rate # Apply bandpass filter to the corrected trace\n", - " nperseg = 700\n", - " noverlap = nperseg - 10\n", - " f, t_spec, Sxx = signal.spectrogram(tr_corrected.data, fs=fs, nperseg=nperseg, noverlap=noverlap)\n", - " t_spec = np.linspace(0, tr_corrected.times()[-1], Sxx.shape[1])\n", - " tr_filt = tr_corrected.copy()\n", - " tr_filt.detrend(\"demean\") # remove DC offset\n", - " tr_filt.detrend(\"linear\") # remove linear trend\n", - " tr_filt.taper(max_percentage=0.05, type=\"hann\") # taper the ends to zero\n", - " tr_filt.filter(\"bandpass\",\n", - " freqmin=freqmin,\n", - " freqmax=freqmax,\n", - " corners=4,\n", - " zerophase=True)\n", - " return tr, tr_trim, tr_corrected, tr_filt, t_spec, f, Sxx" - ] - }, - { - "cell_type": "markdown", - "id": "56906e0b", - "metadata": {}, - "source": [ - "> ✏️ In the code block below, choose one station from the station dataframe, retrieve its waveform, and test different trimming and filtering parameters. Use the waveform plot and spectrogram to decide whether the selected time window and frequency band are appropriate.\n", - ">\n", - "> After you are satisfied with the result, save the selected parameters back into the station dataframe. These parameters will be used in Notebook 3 to reproduce the processing before running the scientific workflow." - ] - }, - { - "cell_type": "code", - "execution_count": 70, - "id": "4556b670", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# --------------------\n", - "# --- USER INPUTS ---\n", - "# --------------------\n", - "\n", - "row_number = 0 # You can change this to any row number you want to retrieve\n", - "time_pick1 = 80\n", - "time_pick2 = 100\n", - "freqmin = 2\n", - "freqmax = 8\n", - "qc_test = True\n", - "\n", - "tr, tr_trim, tr_corrected, tr_filt, t_spec, f, Sxx = process_waveform(row_number, time_pick1, time_pick2, freqmin, freqmax)\n", - "\n", - "# -----------------\n", - "# 2. Visualitation\n", - "# -----------------\n", - "plt.figure(figsize=(12, 8))\n", - "\n", - "plt.subplot(4,1,1)\n", - "plt.plot(tr.times(), tr.data)\n", - "plt.grid()\n", - "plt.axvline(x=time_pick1, color='red', linestyle='--', linewidth=1)\n", - "plt.axvline(x=time_pick2, color='red', linestyle='--', linewidth=1)\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Amplitude\")\n", - "plt.title(f\"Complete Waveform for {tr.id}\")\n", - "\n", - "plt.subplot(4,1,2)\n", - "plt.plot(tr_trim.times(), tr_corrected.data)\n", - "plt.grid()\n", - "plt.xlabel(\"Time(s)\")\n", - "plt.ylabel(\"Acceleration (m/s^2)\")\n", - "plt.title(f\"Waveform after trimming and removal of instrument response\")\n", - "\n", - "plt.subplot(4,1,3)\n", - "plt.pcolormesh(t_spec, f, np.abs(Sxx), shading='gouraud')\n", - "plt.ylim(0, 10)\n", - "plt.axhline(y=freqmin, color='yellow', linestyle='--', linewidth=1)\n", - "plt.axhline(y=freqmax, color='yellow', linestyle='--', linewidth=1)\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Frequency (Hz)\")\n", - "plt.title(\"Spectrogram of Trimmed Waveform\")\n", - "\n", - "plt.subplot(4,1,4)\n", - "plt.plot(tr_filt.times(), tr_filt.data)\n", - "plt.grid()\n", - "plt.xlabel(\"Time (s)\")\n", - "plt.ylabel(\"Acceleration (m/s^2)\")\n", - "plt.title(\"Filtered Waveform\")\n", - "\n", - "plt.tight_layout()\n", - "\n", - "# -------------------------------------------------\n", - "# 3. Update the DataFrame with the processed values\n", - "# -------------------------------------------------\n", - "st_df.loc[row_number, 'time_pick1'] = time_pick1\n", - "st_df.loc[row_number, 'time_pick2'] = time_pick2\n", - "st_df.loc[row_number, 'freqmin'] = freqmin\n", - "st_df.loc[row_number, 'freqmax'] = freqmax\n", - "st_df.loc[row_number, 'qc_test'] = qc_test" - ] - }, - { - "cell_type": "markdown", - "id": "f399b035", - "metadata": {}, - "source": [ - "> ✏️ Below, check the updated station dataframe. If any entry is filled with `NaN`, then the value is still to be entered. Be sure to fill up the station dataframe with preprocessing parameters before moving onto notebook 3." - ] - }, - { - "cell_type": "code", - "execution_count": 71, - "id": "60aa4f97", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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networkstationstart_datelatitudelongitudeelevationchannelsample_ratedata_availablegaps_detectedtime_pick1time_pick2freqminfreqmaxqc_test
0USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0TrueFalse80.0100.02.08.0True
1UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0TrueFalse127.0145.02.010.0True
2UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0TrueFalse127.0145.02.09.0True
3UWERW1997-12-01T00:00:00.000000Z48.453827-122.626121387.0HNZ200.0TrueFalse135.0160.02.09.0False
4UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0TrueFalse125.0140.00.510.0True
5UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0TrueFalse140.0175.04.010.0True
6UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0TrueFalse130.0175.02.510.0True
7UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0TrueFalse120.0155.02.58.0True
8UWQCDG2011-11-16T00:00:00.000000Z48.100020-122.58696052.2HNZ200.0TrueFalse55.075.02.58.0False
9UWQCEN2012-06-14T00:00:00.000000Z46.716350-122.96190055.4HNZ200.0TrueFalse55.075.02.58.0False
10UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0TrueFalse57.570.02.58.0True
11UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0TrueFalse55.570.02.510.0True
12UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0TrueFalse55.570.02.57.5True
13UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0TrueFalse55.570.02.010.0True
14UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0TrueFalse55.570.02.010.0True
15UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0TrueFalse120.0175.02.010.0True
\n", - "
" - ], - "text/plain": [ - " network station start_date latitude longitude \\\n", - "0 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", - "1 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", - "2 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", - "3 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", - "4 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", - "5 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", - "6 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", - "7 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", - "8 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", - "9 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", - "10 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", - "11 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", - "12 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", - "13 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", - "14 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", - "15 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", - "\n", - " elevation channel sample_rate data_available gaps_detected time_pick1 \\\n", - "0 640.0 HNZ 200.0 True False 80.0 \n", - "1 62.0 HNZ 200.0 True False 127.0 \n", - "2 601.0 HNZ 200.0 True False 127.0 \n", - "3 387.0 HNZ 200.0 True False 135.0 \n", - "4 1605.0 HNZ 200.0 True False 125.0 \n", - "5 60.4 HNZ 200.0 True False 140.0 \n", - "6 112.5 HNZ 200.0 True False 130.0 \n", - "7 741.0 HNZ 200.0 True False 120.0 \n", - "8 52.2 HNZ 200.0 True False 55.0 \n", - "9 55.4 HNZ 200.0 True False 55.0 \n", - "10 90.2 HNZ 200.0 True False 57.5 \n", - "11 56.4 HNZ 200.0 True False 55.5 \n", - "12 53.3 HNZ 200.0 True False 55.5 \n", - "13 116.9 HNZ 200.0 True False 55.5 \n", - "14 78.8 HNZ 200.0 True False 55.5 \n", - "15 126.0 HNZ 200.0 True False 120.0 \n", - "\n", - " time_pick2 freqmin freqmax qc_test \n", - "0 100.0 2.0 8.0 True \n", - "1 145.0 2.0 10.0 True \n", - "2 145.0 2.0 9.0 True \n", - "3 160.0 2.0 9.0 False \n", - "4 140.0 0.5 10.0 True \n", - "5 175.0 4.0 10.0 True \n", - "6 175.0 2.5 10.0 True \n", - "7 155.0 2.5 8.0 True \n", - "8 75.0 2.5 8.0 False \n", - "9 75.0 2.5 8.0 False \n", - "10 70.0 2.5 8.0 True \n", - "11 70.0 2.5 10.0 True \n", - "12 70.0 2.5 7.5 True \n", - "13 70.0 2.0 10.0 True \n", - "14 70.0 2.0 10.0 True \n", - "15 175.0 2.0 10.0 True " - ] - }, - "execution_count": 71, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "st_df" - ] - }, - { - "cell_type": "markdown", - "id": "0d39100e", - "metadata": {}, - "source": [ - "Below is the plot a retrieved waveform that passed our quality control test" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "id": "1e235195", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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zE5mZmVKen59fgfcob4SYhw8fij59+ghra2thbW0tPvroI/HgwYNC61FUWbGxsQXyihqppqhzKzk5WXh4eAhTU1Ph5OQkFi1apLMMXaPdFHftFHXdbd26Vbi7u5dJWa6ursLQ0FDrPZw/f74QQoicnBwxdepUUb16daFQKESLFi3EmTNnpHWfP2eLuu6Ku2aJ6OXJhCjh/7ZERERERFRpsOsOEREREZEeYqBPRERERKSHGOgTEREREekhBvpERERERHqIgT4RERERkR5ioE9EREREpIcY6BMRERER6SEG+kREREREeoiBPhERERGRHmKgT0RERESkhxjoExERERHpIQb6RERERER6iIE+EREREZEeYqBPRERERKSHGOgTEREREekhBvpERERERHqIgT4RERERkR5ioE9EREREpIcY6BMRERER6SEG+kREREREeoiBPhERERGRHmKgT0RERESkhxjoExERERHpIQb6RERERER6iIE+EREREZEeYqBPRERERKSHGOgTEREREekhBvpERERERHqIgT4RERERkR5ioE9EREREpIcY6BMRERER6SEG+kREREREeqhqRVfgdZebm4v79+/D3NwcMpmsoqtDRERERG84IQTS0tJQo0YNGBgU3m7PQL8Y9+/fh7Ozc0VXg4iIiIhIS1xcHJycnArNL9dAPyAgAMeOHcOtW7dw4sQJtG/fXspLTU3FZ599hj/++APVqlXDtGnTMH78eABAZGQkpkyZgrNnz0IIgXbt2mHFihWoUaMGACAjIwMjR47EgQMHYGVlha+++goDBw6Uyt60aRNmzZoFlUqFPn36YO3atahWrVqJ6mxubg7g2YFUKBSldCSIiIiIiF6OSqWCs7OzFKcWplwD/SZNmmDAgAEYMWJEgbwJEyYgNzcXcXFxePDgAXx8fODu7g4fHx8olUr07t0bmzdvhqmpKaZOnYqhQ4fi6NGjAIDAwEAkJSUhPj4eERER6Nq1K5o2bQo3NzeEhoZi4sSJOHr0KBo0aIA+ffogODgYwcHBJapzXncdhULBQJ+IiIiIXhvFdSuXCSFEOdVF0rBhQ6xZs0arRd/W1hZ//fUXvLy8AADz58/H9evXsXXr1gLrR0VFoVmzZkhLSwMAVK9eHXv27EGbNm0AAEOHDkWtWrUwZ84cTJ8+HYmJiVi/fj0A4OTJk/Dz88OdO3d01k2j0UCj0Ujzeb+YlEpliQJ9jUaDCxcuIDk5GRVwaKkQhoaGqF+/PurVq8d7LYiIiKhSU6lUsLCwKDY+fa366OcPjIUQCA8P17ncqVOn4OHhAeBZl5+EhATpBwIAeHp64syZMwCAiIgIdOjQQSvv7t27UKvVkMvlBcpeuHAh5syZ81L1//PPPxEcHIz09PSXWp/Knru7O7777jtYW1tXdFWIiIiIytRrE+h36dIF8+fPx4YNG/DgwQP8+OOPMDQ0LLDczZs3MWPGDOzcuRMAoFarAUCrj5JCoZDS1Wq11i+dvNeFBfrTp0/HpEmTpPm8Fv3ixMTEYObMmejQoQP8/f3h4uJS5F3QVL40Gg3Onz+P4OBgzJgxA2vWrKnoKhERERGVqVKLRNu0aQOZTKZzmjVrVrHrL1++HIaGhqhXrx4++ugjDB48uMBdxPfv30enTp0QHByMDz74AACkYD2vGw/wLDjPS5fL5VCpVFp5+dd7npGRkdQf/0X65R89ehRmZmaYO3cuXF1dGeS/ZoyMjNCmTRt8/vnnuHDhAh49elTRVSI9deLECZw8ebKiq0FERFR6LfohISGvtL61tTW2bdsmzc+YMQPNmzeX5pOSkuDj44NRo0bB399fSreysoKjoyNCQ0PRunVrAEBYWJjUtcfd3R2hoaHS8mFhYXBxcSk00H9Zt2/fRqNGjXT+C0Gvj7wuXnfu3IG9vX0F14b0UV4jBO/RISKiilauzc5Pnz5FZmYmhBBar4FnXXJSUlKQnZ2Nw4cPY/PmzZg4cSKAZ63wnTt3Rvfu3TFt2rQC5fr6+mLevHlIS0vDuXPncODAAQwaNAgAMGjQIOzbtw8XL16EUqnE/PnzMWTIkFLft5ycHAb5lUDee5SdnV3BNSEiIiIqW+Ua6Hfq1AkmJiaIiopC586dYWJiIo1+c+7cObi7u8PCwgJz587Fvn374ODgAADYv38/Ll26hFWrVkEul0tTnrlz58La2hrVq1dHnz59sGLFCri5uQF4dvPtkiVL0LNnTzg5OaFGjRol6kpUGmQyGe7du6eVNnToUMybNw/As37jn3/+OWrWrAlzc3PUr18fixYt0lnWyZMnIZPJMH36dK10Y2Nj3L59u0DZwLMfViYmJrh+/bqU9uWXX8LIyAiZmZlSWv/+/bWGG12wYAFkMhmuXbtW6L49evQIAwYMQPXq1WFpaQkfHx+t7eTm5mLChAmwtLSEg4MDli5dWmhZQUFB+PTTT7XSbt++japV//3DqX379jA3N0dycrKUtmjRIgwdOhTAs2c05D835HI5jIyM2IWKiIiI3ljlGgWdPHkSQgitydXVFcCzlveEhAQ8efIEZ8+eRYsWLaT1/Pz8IISAWq3WmvKYmJhg27ZtUKvViIuLk1rz8wwdOhTx8fFIS0vDpk2bYGRkVC77W5yFCxciIiICly9fhkqlwqFDh1C/fv1Clzc3N8eaNWu0gt2iVKtWDe+++65Wt6qQkBC4urri/PnzUtrff/8tDU0KANu2bYOVlZXOoU3zqNVqtGzZEleuXEFycjI6d+6MXr16Sflr1qzByZMnERUVhZCQECxevBjHjx8vUb0LY2hoiG+//VZn3po1a7TOjZSUFHh6eur8B4iIiIjoTcDmzgp0/vx59OnTB/b29pDJZNIDvQpjb2+Pnj17Fhrs6tK2bVsp0M/OzkZkZCQ+/fRTKS0mJgaJiYnSD6tLly4hJiYGixcvxo4dO5Cbm6uz3Dp16mDChAlwcHBAlSpVMH78eNy8eVP6EbJlyxZMmTIF9vb2qF+/PkaOHInNmzeXuN66jBs3DqtXry7RD50pU6bA2NgYc+fOfaVtEhEREVVWDPQrUIsWLfDVV19h3bp1Wt1eijJr1iysXr0aKSkpJVq+TZs2UlB/6dIleHl5aQX/ISEhaNq0KUxNTQEAW7duxYcffoiBAwfi8ePHJR495PTp03BwcICNjQ2AZ88veP7ZBoU9F6Gk6tevjx49emDJkiVFLvfLL79g+/bt2LFjh1b3HyIiIqI3CQP9CjRjxgxMmDABP/74I7y8vFC7dm0cPHiwyHXq16+P7t27l7hVv1WrVrh9+zYePHiAkJAQtG7dGk2bNsXly5chhEBISAjatm0L4NkNxTt37sQnn3wCExMT9OzZs8juO3mSkpLg7++vdX+BrucX5O9u9bwtW7bA0tJSmvL/SMhv1qxZWLVqVaE/dO7evYsRI0Zg48aNJXr+AREREZG+YqBfhqpUqYKsrCyttKysLGnkl6pVq+Lzzz/HP//8g5SUFAwaNAiffPJJsV1Tigt287OwsICnpydCQkKkQL9atWqoV68ewsLCEBISIvXPP378OFQqFbp37w4AGDBgAPbt26d14+7z0tLS0LVrV3zyySfw8/OT0nU9v6CoIU3/85//4PHjx9JU2I3ADRo0QLdu3XS26mdnZ2PAgAEYMmQIevToUfSBISIiItJzDPTLkLOzszSqUJ47d+7AxcWlwLLm5uaYPn060tPTERsbW2S5bm5u+PDDD4vtwpInr6vOP//8Iz2boHXr1jhw4AAiIyOlQH/r1q3QaDSoU6cOHB0dMWLECKhUKvz66686y83IyED37t3RrFkzLFiwQCtP1/ML8p5t8KpmzZqFlStXFvihM3PmTGRlZeGrr74qle0QERERVWYM9MtQ3rCVDx8+RHZ2Nvbs2YOIiAh06tQJALBs2TKEhIQgMzMTT58+xYoVK2BhYSENDVqUvGD3+fHgs7OzkZmZKU3Z2dlo06YNdu7ciRo1asDMzAzAs0D/+++/h5ubG2xsbJCeno79+/dj+/btuHLlCq5cuYJr164hICBAZ/edrKws9OnTBzVq1MCqVasK5Pv6+mLx4sVITEzEzZs38cMPP5Ta8wsaNmyIrl274scff5TSfv/9d6xbtw67du1CtWrVSmU7RERERJUZA/0yFBgYCC8vL7z77ruwtbXF0qVLcfDgQemGVWNjY4wbNw4ODg5wcHDAoUOH8Ouvv8Lc3BwA4OHhofW04PwaNWqELl26ICcnRyt9zpw5MDExkaaAgAC0bdsWjx49QqtWraTlWrVqhcTERKk1/5dffoGdnR369u0LR0dHaRo/fjz++OMPJCcnIyAgAAEBAQCA//u//8ORI0dw4MABKBQKaez6u3fvAgBGjx4Nb29v1K9fH61atcKkSZPQoUMHAM/60edf9mXMnj0bjx8/lua//vprpKWlwcvLq8B4+q+yHSIiIqLKSib4nPYiqVQqWFhYQKlUat1c+rypU6fi6dOnWLZsWTnWjl7Uw4cP0a1bN3z//fd47733Kro6pIdkMhkAgB+tRERUVkoan7JFn4ioEsrJycG7776r9fA7IiKi/BjolyK24L3++B6Rvnj8+DEuXLiAOXPmVHRViIjoNcVAv5SYmZkhNTW1oqtBxcgbqSfvpmSiyiqvixAREVFhGOiXkubNm+P69euIioqq6KpQEQ4cOABzc3M0atSooqtC9Er47xQRERWnakVXQF+0b98ebm5uGDlyJDp27AgXFxdUqVKloqtF/6PRaHDu3DlcuHABEydOlB5aRlTZsWWfiIgKw0C/lJiammL16tXYtGkT/vvf/+LYsWNscXuNGBoaokGDBpg3bx66dOlS0dUhKjX8nCEiosKUa6AfEBCAY8eO4datWzhx4gTat28v5aWmpuKzzz7DH3/8gWrVqmHatGkYP368lL9r1y7Mnj0bCQkJaNCgAZYvXy6NC5+YmIihQ4fi5MmTcHJywqpVq6Qx2wFg0aJF+Pbbb5GTk4NPP/0UX331VZm0gikUCowfP16r3kREZYEt+UREVJxy7aPfpEkTrF+/HnXq1CmQN2HCBOTm5iIuLg4hISH47rvvcOzYMQBAQkIC/Pz8sHr1aiiVSowaNQp9+/aV1h07diwcHR2RmJiIb775Bv3795duujx8+DBWrlyJs2fPIiIiAkeOHMGGDRvKZ4eJ6I2Vnp5e0VUgIqI3XLkG+gEBAWjfvr3O/tGHDh3C9OnTYWJigjp16mDEiBHYtGkTACA+Ph42Njbo0KEDZDIZfH198eDBA6SmpkKtVuOXX37BnDlzYGpqip49e8LT0xMHDhwAAGzZsgX+/v6oW7cuHB0dMXnyZGzevLk8d5uI3kBl9c9ev379sGLFCmmeXXeIiKgwr9WoO/m/sIQQCA8PB/Dsn4B69erhjz/+QE5ODjZt2oR33nkHVlZWiI6Ohlwuh5OTk7Sup6entG5ERAS8vLx05umi0WigUqm0JiKiF3Xr1q0yKXfv3r0YN24cu+4QEVGxXpubcbt06YL58+djw4YNePDgAX788Uep5b9KlSoYPHgwevfuDY1GA0tLSxw/fhwAoFarCzz6V6FQIDk5WWe+QqGAWq0utB4LFy7kA2iIiIiIqNIrtRb9Nm3aQCaT6ZxmzZpV7PrLly+HoaEh6tWrh48++giDBw+WWumPHj2KL7/8Ev/88w80Gg1WrlyJ7t27Iz09HXK5vECru0qlglwuB4AC+fnzdJk+fTqUSqU0xcXFvczhICIqU+yyQ0RExSm1QD8kJARCCJ3TvHnzil3f2toa27ZtQ0JCAsLDw5Gbm4vmzZsDAK5evYr3338fjRs3RpUqVfDJJ58gIyMDkZGRqF+/PtRqNeLj46WywsLC4OHhAQBwd3dHaGiozjxdjIyMoFAotCYiotcVA34iIipMufbRf/r0KTIzMyGE0HoNADdv3kRKSgqys7Nx+PBhbN68GRMnTgQANGvWDCdPnsSNGzcghMC+ffuQmZmJOnXqQC6Xo1evXggMDERGRgYOHjyIa9euoVevXgAAX19frF27FjExMXj48CGWLFmCIUOGlOduExGVOgb4RERUnHLto9+pUyf897//BQB07twZABAbGwtXV1ecO3cOkyZNQlpaGjw9PbFv3z44ODgAAD744ANMmTIFXbp0QXJyMmrXro1du3bBwsICALBq1Sr4+fnBxsYGTk5O2LVrF6ytrQEA3bp1w+jRo9G8eXPk5ORg5MiRGD58eHnuNhFRqWOgT0RExZEJflsUSaVSwcLCAkqlkt14iKhYeaPhtG/fHidOnCiz8hMTE2FnZ4cuXbrgyJEjpb4dIiJ6fZU0Pn2thtckIqKSYRsNEREVh4E+EVEZKOtx7hnoExFRcRjoExFVQnmBPgN+IiIqDAN9IiIiIiI9xECfiKgMlHVLO1vyiYioOAz0iYjKwMmTJ3H9+vUyKz8v0C/rewGIiKjyYqBPRFRGtm3bVmZls0WfiIiKw0CfiKiMlEcwzoCfiIgKw0CfiKgSYoBPRETFYaBPRFRGyjIYzyv7jz/+wOXLl8tsO0REVHkx0CciquTGjBlT0VUgIqLXEAN9IqJKKP+/BWfPnkVWVlYF1oaIiF5HDPSJiF4zT58+xQ8//FCg68+4ceOk18/nrV27tlzqRkRElQcDfSKi18zSpUsxatQohISEaKWvWLFCev18oJ+enl4udSMiosqDgT4RUTm6efMmfvjhhyKXUavVAACNRlMeVSIiIj1VboF+ZGQkevToATs7O9ja2qJ37964f/++lJ+RkQFfX1+Ym5vDxcUFO3bs0FlO165dUbVqVa20W7duoXXr1jA1NUXTpk1x9epVKS83NxcTJkyApaUlHBwcsHTp0rLZQSKi5+gadadDhw4YNWpUkeuV5Gm3z5fN4TaJiOh55RboK5VK9O7dG1FRUYiPj4eTkxOGDh0q5QcGBiIpKQnx8fHYvXs3xowZg8jISK0yfvnlF6SlpRUoe+DAgfDx8UFKSgpGjhyJjz/+GNnZ2QCANWvW4OTJk4iKikJISAgWL16M48ePl+m+EhHpkpGRgbt37wIAnjx5Ag8PD0RFRUGpVCIgIOCFWvAZ6BMRUXHKLdBv3rw5hg0bBisrKxgZGeGzzz7DmTNnpPwtW7Zg1qxZUCgUaNmyJXr16oXt27dL+ZmZmZg1axYWLVqkVW5kZCQiIiIwY8YMGBsbY/To0cjNzcXp06elcqdMmQJ7e3vUr18fI0eOxObNmwutp0ajgUql0pqIiF5WREQEMjIy8PTpU5iamkrpV69eRUREBFavXo1Vq1Zh7dq1+OOPP7TWLSp4fz6vJP8CEBHRm6XC+uifOnUKHh4eAIDU1FQkJCTAy8tLyvf09ER4eLg0v2jRIgwYMABOTk5a5URERKBBgwYwMjLSuW5ERESR5T5v4cKFsLCwkCZnZ+dX21EiemMJIeDh4QE/Pz/8+OOPhS6XF6Tv27fvlboXRkREwNjYGNeuXcOTJ0+kdI1Gg0ePHr10uUREVDlVSKB/8+ZNzJgxAwsWLADw741n5ubm0jIKhUJKv337Nnbv3o0pU6YUKEutVkOhUGil5V/3+fz8ebpMnz4dSqVSmuLi4l5yL4noTXP+/Hmt+QsXLgAALl26hAMHDmjl7dy5EwBw7do1KW3z5s2YNGlSibaV/x4nAJg2bRpGjRoFjUaDt956C3K5HMnJyQCAvn37wsHB4cV2hoiIKr1SC/TbtGkDmUymc5o1a5a03P3799GpUycEBwfjgw8+AADI5XIA0Op/r1KppPSJEyciODgYxsbGBbYrl8sLdK/Jv+7z+fnzdDEyMoJCodCaiIhKYt26dVrz+e8HioiI0Mr7/vvvAQB//fVXgXLyD6NZmPxdG/M8/29lXqB/+PDhYssjIiL9U2qBfkhICIQQOqd58+YBAJKSkuDj44NRo0bB399fWtfKygqOjo4IDQ2V0sLCwqSuPSdPnsTYsWPh6OiId999Fzk5OXB0dER4eDjc3d0RHR2tdRNb/nXd3d0LLZeIqDQV1qdeCFHkv4O5ubla86mpqUWWBwCrV69+6foQEdGbody67qhUKnTu3Bndu3fHtGnTCuT7+vpi3rx5SEtLw7lz53DgwAEMGjQIwLMbbq9cuYIrV67g8OHDqFKlCq5cuQI3Nze4ubmhUaNGWLRoETQaDdatWweZTIa2bdtK5S5evBiJiYnS+NVDhgwpr90mojdIUYF+UXJycl5qvZLWhwE/EdGbqdwC/f379+PSpUtYtWoV5HK5NOWZO3curK2tUb16dfTp0wcrVqyAm5sbAMDe3h6Ojo5wdHSEnZ0dAMDR0VEaT3/79u04evQoLC0tsXr1avz8889S3ujRo+Ht7Y369eujVatWmDRpEjp06FBeu01Eb5DCAurY2Ngi13u+RT9/ed999x3CwsLg6en5wvXJe6ZISQL9yMhIZGRkvPA2iIjo9SUTbOopkkqlgoWFBZRKJfvrE1GRhg0bhk2bNr3wetbW1khJSSmQfuTIEXTt2hVWVlZSd56i6Fpu06ZN0jNLhBC4cOECmjZtCgMD7XYemUyGgQMH6uz7T0REr5eSxqcVNrwmEZG+KawLTnF0Bfn5vUp7zIkTJ6TXMTExePfddwsdwvP5UYOIiKhyY6BPRFRKsrKySrW82bNnv3IZ+R+k9eeffwIAoqOjdS7DP3iJiPQLA30iolJS2oF+3jj8r0KpVEqvAwICALz8TcNERFS5MNAnIiolpR3o53n8+PFLr7t///4CaUIIXLlyBenp6VrpMTExSExMfOltERHR64WBPhFRKSmrQL+kSnLDLgD89ttvePvttzFixIgCef/v//2/0q4WERFVEAb6RESlpKID/ZJKSEgAAFy5cqVAXnZ2djnXhoiIygoDfSKiUlJZAv08uoL6LVu2SDfnpqSk4N69e+VdLSIiKiVVK7oCRET6orIF+sXdfFu3bl08fvyYN+kSEVVSbNEnIiollS3Qz83NlZ6e+7zo6OhXugmYiIgqHgN9IqJSUtkC/djYWDRp0kRn3vDhw4td/9SpUwgJCcGTJ09w5cqVSrf/RET6joE+EVEp0adANyQkpECav78/ZDIZRo8ejc6dO8Pb2xtt27ZF165d8fbbb2PFihU6y5ozZw5Onz5d1lUmIqLnyAQ7XxZJpVLBwsICSqUSCoWioqtDRK8xNzc3REVFVXQ1St2UKVNgZWWFmTNnFrvsggULMH36dK00mUwGa2trJCcnIzk5GRkZGXByciqr6hIR6b2Sxqds0SciKiX61KKf3+LFi0sU5APAjBkz0Lt3bzRq1AhqtRp79uwB8GwEnzFjxsDW1hbOzs64ePEiJk6ciNjYWDRv3hwNGjTA9u3b8ejRIwBAYmIifv/9dwDAmTNnIJPJsHDhQq1thYaG4u7du9L8lStXEBsbi5ycHK33IjU1VesJwU+fPi2VG4xjY2NfuQwiorLEFv1i5P1iOnLkCB4/fgxHR0coFAqkpqbi1q1bqFWrFmxsbLBr1y64ubmhWrVqcHFxQd26dXH48GE4OTnB0dERGo0Gx44dg5ubG9zc3PDgwQPY2tpCrVYjPT0dzs7OSE1NRU5ODuRyORISErBnzx7069cPDg4OOHPmDGrXro2qVasiPj4ezZo1Q0pKCk6cOIGWLVuiZs2aAICDBw/CwsICHh4esLS0REJCAjIyMtCoUSMkJCTg1q1bkMvlEEIgNjYWTZs2hYWFBYyNjREdHQ13d3cYGBigZs2auHTpEjQaDYyNjeHo6IjLly/DxcUF//d//4cPP/wQBgYGyMnJwZUrV+Di4gIDAwPcuHEDLVq0wOnTp9GxY0dYWFggJiYGycnJqFevHp4+fYpbt25BCAEzMzNYW1tDrVbj3r17eOutt5CcnAylUgkTExOkpaXB0tISiYmJEELAzs4ODx8+xJ07d9CzZ09kZGQgNjYWNWrUQGpqKmQyGRQKBe7evYtatWohKysLWVlZcHd3h0ajgUKhQEhICKpVq4Y9e/Zg9OjRqFmzJm7dugWNRoO0tDQAgJ2dHRITE5Gamor33nsPWVlZsLOzw7Zt2/DWW28hOzsbRkZGsLe3h6GhIVQqFaysrBAZGQkzMzM8evQIDRs2BPCsJTM9PR2PHj3CxYsXpfehQ4cOsLGxwd27d5GVlYXU1FRUqVIF9vb2EELAwsICiYmJSEpKgpmZGTQaDS5cuIDOnTvD0tISMpkMxsbGePLkCX7++Wd8/PHHSEhIgKurK3JycnDjxg24uLhAoVDA0tISCoUC169fR1xcHBo0aAAAqFq1Kh48eABTU1NER0ejYcOGMDU1RXh4OFxdXZGamoqMjAzY2NhArVYjNjYWvXr1QlJSElJTU5GUlIS33noLt27dgr29PaysrCCEwIMHD+Ds7Izbt28jIyMDFhYWiI+Ph6OjI8LDw1G3bl3Y29tL75WJiQkSEhJgamqKzMxM1KhRA1lZWfj999/RqlUrmJubIywsDMeOHcOHH36IO3fuoEmTJsjNzYWLiwtiYmJw+vRptGzZEunp6ZDL5bC3t8fdu3dhZ2eH7OxsWFlZITMzE7Vr18aRI0dQu3ZtKJVKVK1aFdWrV0diYiJsbW1hb2+PrKwsHD9+HK6urqhatSquX78OAwMDyGQyuLu7AwDkcjmuX7+OWrVqQSaTwcrKCsnJyfDx8amATykqS+3bt8eNGzeQkJCAt956C1evXkVQUBCCgoIAAE2aNNF6HoFMJsOUKVOQlJSEO3fuoE6dOjh06BAWLVoEPz8/AICzszPi4uIwadIkHDt2DEOGDMGUKVOkMpo0aYLFixejXr16cHV1BfDsX5XFixdj8eLF+Pvvv3Hz5k0EBQXB19cXH330EW7cuIEVK1bg77//xpUrV7B9+3bMmjULX3/9Nb7//nvMmTMHv/76K9555x24u7vjyJEjCAwMBAD4+Pjg1q1bUKlUqFmzJgwNDfHDDz+ge/fuaNKkCdLS0nD37l2Eh4fjzp07aN68OTw9PfHf//4Xd+7cwb59+1C9enU0btwYAQEBCAoKQosWLWBubo527dqhXbt2+P7771GjRg3UrVsXVatWxapVq1CnTh04OjoiMzMTI0aMwLZt23Dv3j00aNAAX375JaKjo7Fnzx6kpKSgX79+uHjxImrWrInz588jICAAISEhiIiIwOXLlzFlyhTcuHEDNWrUQHZ2NpKSkrB8+XLMnTsXu3btgo+PD8zNzVGnTh20b98eJ06cwOrVq7Fx40acO3cO+/btQ+3atTFr1ixMmzYNnTp1Qnh4OPbt24eDBw9izpw5aNiwITIyMmBlZYVTp07BxMQEKSkp0mdot27dIJfL8eTJEzg6OuLGjRtITk6GXC6Hq6srLly4gIyMDHTo0AGpqamIioqCra0tLl68iNatW2Pt2rVo0qQJ2rRpg7t376Jbt244ePAgbt26BV9fX9jZ2SE5ORlhYWH48MMP8csvv8DFxQUJCQlQq9Vo1qwZbt++jevXryM2NhajRo3C6dOn0apVK0RGRsLBwQEXLlyAjY0NLCwsULVqVdjY2CA6Oho9e/ZESkoKLl68iLZt2+K///0v7t+/D29vbzx69AinTp3CgAED8Pfff0sxjZGREf766y/0798fderUQVpaGo4dOwYDAwOYmZnB1NQU9+/fh729PczMzHDv3j3Y29vD1tYWx48fR7du3XDt2jWo1Wq4urqiadOmUKlUuHr1KhITE9GjRw9oNBqo1WoolUqkpaWhVq1aiIqKQtWqVfHWW2/B1NQUycnJiI2NRXJyMjw9PVG9enXcvXsXQgjk5OQgJycHNjY2uHDhAry8vHDx4kX06tVL+v5s06YNbt68iTZt2sDV1RWbNm2CWq2Gp6cnrly5gsGDByMlJQWXL1/GgQMHMG/ePFy9ehXGxsbIyMhASkoKGjdujNTUVDRs2BBVqlTBqVOnpPoYGxvDyckJBgYG2Lt3L1q0aIE9e/agdevWuHTpEoYMGYJTp07B3NwcVapUgaOjI/bt24cGDRogKysL77zzDtLT05GUlISnT5/C1tYWGo0Gu3btQmhoaPE9TkQ5uXHjhujevbuwtbUVNjY24uOPPxbx8fFS/p49e0SLFi2EkZGR8PPzK7D+4cOHRd26dYWpqano2bOnSElJkfIePXokPvzwQ2FqaioaNGggjh07prXuwoULha2trbCyshJTp04Vubm5Ja63UqkUADhx4sSJEydOnDhxeq0mpVJZZBxbbl13lEolevfujaioKMTHx8PJyQlDhw6V8q2trTFlyhSMGTOmwLqPHj3CwIEDsXz5ciQmJsLS0hLjx4+X8seOHQtHR0ckJibim2++Qf/+/ZGSkgIAOHz4MFauXImzZ88iIiICR44cwYYNG8p8f4mIiIiIKlSJm7ZLWWRkpJDL5QXSFy5cWKBFf82aNaJDhw7SfExMjDAyMhLp6ekiLS1NGBoairi4OCnf29tbbNiwQQghxIABA0RwcLCUt3HjRtGuXbsS1zOvRb+4X0xERKdPn67w1p3XbWrXrl2heR999JHW/C+//CImTpwoatWqJQCIyZMnCwBi0aJFYv78+dJysbGxYvv27eLtt98WAISPj48ICQkR/v7+IiUlRYSHh4usrCwREREh/Pz8xI8//ijMzMzElStXxL1798Tjx4/FyZMnRVZWlhBCiNDQUPHFF1+IpKQk8d133+l8b588eSK+/vprrX+Ev/nmG1GBX6NE9AYraXxaYX30169fj/Xr1+Ps2bNa6YsWLcKNGzewadMmKe3zzz9HlSpVsGTJEinN3NwcZ86cQVZWFjp06CC14APAuHHjYGRkhMWLF+Ott95CcHAwevbsCQC4ePEiOnfujKSkJJ310mg00Gg00rxKpYKzszNH3SGiYv39999o06ZNRVejTJibm0v3sRTF29sbDx8+xB9//IFHjx5JfVQBICcnByqVCjt37pSG6ixKVlYWQkJC8P7775fKPhAR6YvXetSdmzdvYsaMGViwYEGJller1QV2QqFQQK1WF5mna938ebosXLgQFhYW0uTs7FzS3SKiN1xxgWtlVa1aNaxevRoAYG9vDwD48ccfCywXExODkydP4vr163BxccE777wDIyMjXLhwAT/99BMMDAxgaWmJgICAEh0rQ0NDBvlERK+g1AL9Nm3aQCaT6ZxmzZolLXf//n106tQJwcHB+OCDD0pUtlwuh0ql0kpTqVSQy+VF5ulaN3+eLtOnT4dSqZSmuLi4EtWRiEhfXbp0SRrZa926dUhJScHw4cPh7e0NCwsLPHr0COfPn0ft2rV1rt+sWTMMGTKkPKtMREQAqpZWQbqeovi8pKQk+Pj4YNSoUfD39y9x2e7u7ti7d680f/v2bWRlZaFu3brIycmBWq1GfHy89EUUFhYmfam4u7sjNDRU6roTFhYGDw+PQrdlZGQEIyOjEteNiCiPPrXof/nll5g7dy4ASJ+ZFy9exNtvvy3t58mTJ6Xl7ezsyr2ORERUtHLruqNSqdC5c2d0794d06ZNK5Cfk5ODzMxMZGdna70GgI8//hjnz5/H77//jvT0dMyZMwf9+vWDiYkJ5HI5evXqhcDAQGRkZODgwYO4du0aevXqBQDw9fXF2rVrERMTg4cPH2LJkiVsWSIi+h8vLy988cUXWmnBwcHSOPHbtm2T0ps2bapXP2aIiPRduQX6+/fvx6VLl7Bq1Sqpy03+LjRbtmyBiYkJZs+eja1bt8LExATz5s0D8KxP6Pbt2zF27FjY2toiOTkZy5cvl9ZdtWoV7t+/DxsbG0yaNAm7du2CtbU1AKBbt24YPXo0mjdvjoYNG6Jz584YPnx4ee02Eb1BKmMQnJubiypVqmilzZo1CzKZDEIIDBo0qIJqRkREr4pPxi1GSe9qJiL6559/0LJly4quRrH++OMPdOvWDdnZ2Th37hx+++03BAcHAwDmzp2L2bNnV3ANiYioKK/1qDtERFRxOnXqhGvXrmHXrl149913UbXqs9u1Vq1axSCfiEiPlNrNuEREb7rK1HWnUaNGaNSoEYBnw2cCkAY0ICIi/cBAn4iolLzOgf4nn3yCiRMnQqlUFsj79NNPce7cOXh7e1dAzYiIqKww0Cci0kOTJk3Sepr4zp07C13W1tYWP//8c3lUi4iIyhH76BMRlZLSbtH38fHBsGHDABQdqD/P3Nwcb731FgCge/fu+PXXX0u1XkREVDkw0CciKmNfffXVS60nk8mwbt06PH78GL179y7xeh9//DHyBlTr1q0bevTo8VLbJyKiyo2BPhFRKSmsRd/CwqLQdUxMTArN8/HxQdWqVWFhYfHC/xbk5uYCAAwM+DFPRPSm4jcAEVEpedWuO66urlrzU6dOfemy8wL95x+GRUREbw4G+kREFSh/AJ/3RG9deS8qJycHAFv0iYjeZPwGICIqJSUJzPfu3as1v3PnzhL1v3+RsmUyGaysrAA8G1GHiIjeTAz0iYjK0fMt7D169MC+ffsAALVq1ZLSb9y4obVcSQL9xo0bS6/79u2L3377Dd27d3+V6hIRUSXGcfSJiEpJYcF4/vTCutIcPXoULVq0wODBg/Hrr7/Czc2tRGXnlzfSTt7yDPKJiN5sbNEnIiolJQnG7e3t4e/vXyC9Y8eOUCgU6NOnD3766aeX2n5eoM9++UREBDDQJyIqV++9957UJ3/27NmlWjaH1CQiovzYdYeIqJQU1aLft29ftGvXDsC/gXjVqqX7EcwWfSIiyq/cvg0iIyPRo0cP2NnZwdbWFr1798b9+/el/L1796Jly5YwNjbG0KFDC6yfkJCAvn37wsLCAjY2Npg+fbqUl5iYiG7dusHMzAxubm44fvy41rqLFi2CnZ0drK2t8cUXX2j1YyUiKmtCCOzZswfjxo0DALz//vsIDAzE5MmTS3U7eS36rzqePxER6YdyC/SVSiV69+6NqKgoxMfHw8nJSSugt7a2xpQpUzBmzBid6/fs2ROtWrXCgwcPcO/ePQwaNEjKGzt2LBwdHZGYmIhvvvkG/fv3R0pKCgDg8OHDWLlyJc6ePYuIiAgcOXIEGzZsKNN9JaI3U0luxgWePcQqKCgIZmZmL1R+/fr1pdd169YtkF+9enUAQJcuXV6oXCIi0k/l1nWnefPmaN68uTT/2WefoVmzZtL8Bx98AAC4efOmFKTnOXLkCIyMjDBp0iQpzdPTEwCgVqvxyy+/ICYmBqampujZsyc8PT1x4MABDBs2DFu2bIG/v7/0pTh58mRs3LgRI0aM0FlPjUYDjUYjzatUqlfccyJ6U5R1S3rTpk0RHR0N4Nln4K1bt7Ty7ezskJOTw647REQEoAJvxj116hQ8PDxKtOy5c+fg6uqKrl27wtbWFh06dMD169cBANHR0ZDL5XBycpKW9/T0RHh4OAAgIiICXl5eOvN0WbhwISwsLKTJ2dn5ZXaPiKjUValSRXpd2I8KBvlERJSnQr4Rbt68iRkzZmDBggUlWj4+Ph47d+7E+PHjcf/+fXTp0gUfffQRcnJyoFaroVAotJZXKBRQq9UAUCA/f54u06dPh1KplKa4uLiX2EMiehOVdYv+0qVLMXz48HLZFhERVX6lFui3adMGMplM5zRr1ixpufv376NTp04IDg6WuusUx8TEBG3atEHXrl1RrVo1TJkyBQkJCbh58ybkcnmB7jUqlQpyuRwACuTnz9PFyMgICoVCayIiehWlFZTb29sjKCioVMskIiL9VWqBfkhICIQQOqd58+YBAJKSkuDj44NRo0bpfGBMYRo3blzol1r9+vWhVqsRHx8vpYWFhUndgtzd3REaGqozj4ioND3/ObV27dpy2xYREdHzyq3rjkqlQufOndG9e3dMmzatQH5OTg4yMzORnZ2t9RoAevfujatXr+LYsWPIycnBd999B0dHR9SrVw9yuRy9evVCYGAgMjIycPDgQVy7dg29evUCAPj6+mLt2rWIiYnBw4cPsWTJEgwZMqS8dpuI3iDPB995o+TUrl271LaRNzzw89vKP9gBERERUI6j7uzfvx+XLl1CZGQkVq1aJaXn9ZffsmULhg0bJqVv3boVgYGBCAoKgo2NDfbu3YsxY8bg3r17ePvtt7F//37pxrRVq1bBz88PNjY2cHJywq5du2BtbQ0A6NatG0aPHo3mzZsjJycHI0eOlPq4EhGVpffffx+RkZFo0KBBqZWp66FYSqUSRkZGpbYNIiLSDzLBp0cVSaVSwcLCAkqlkv31iahIN27cQKNGjQAAJ06cQPv27Ut9G7GxsahTpw4GDBiAnTt3AgAfAkhE9IYpaXzKcdiIiEqZkZERvL29y6TswrruEBERPY+BPhFRKckLvj/55JMyC8QZ6BMRUUkx0CciKiXl0YWGgT4REZUUA30iokqEgT4REZUUA30iokqIgT4RERWHgT4RUSkryyBc1/CaREREupTbOPpERPTqateujR49emD27NlISkpiwE9ERIVioE9EVErK42ZcQ0ND/PrrrwCAgwcPlvn2iIio8mJTEBERERGRHmKgT0RERESkhxjoExERERHpIQb6RERERER6iIE+EREREZEeYqBPRERERKSHyi3Qj4yMRI8ePWBnZwdbW1v07t0b9+/fl/InT56MunXrwtzcHF5eXlrDxh06dAitWrWChYUFatSogUmTJiErK0vKv3XrFlq3bg1TU1M0bdoUV69elfJyc3MxYcIEWFpawsHBAUuXLi2fHSaiNw6fVktERK+Tcgv0lUolevfujaioKMTHx8PJyQlDhw6V8s3NzXHkyBEolUosW7YMvr6+iI2NBQCoVCoEBQUhISEBV69exfnz5/HNN99I6w4cOBA+Pj5ISUnByJEj8fHHHyM7OxsAsGbNGpw8eRJRUVEICQnB4sWLcfz48fLabSIiIiKiCiET5fGEFx2ioqLQrFkzpKWl6cxv1aoVJk+ejD59+hTIW7duHX777Tf89ttviIyMRLNmzZCcnAwjIyMAgKurKzZu3Ij3338f7733HsaOHQtfX18AQFBQEGJjY/HTTz/p3K5Go4FGo5HmVSoVnJ2doVQqoVAoXnW3iUiP3bhxA40aNYKfnx82bdpU0dUhIiI9pVKpYGFhUWx8WmF99E+dOgUPDw+deampqQgLC4O7u3ux60ZERKBBgwZSkA8Anp6eCA8Pl/K9vLx05umycOFCWFhYSJOzs/ML7xsRERERUUWrWhEbvXnzJmbMmIGdO3cWyMvNzcWwYcPQp08fNGrUqED+vn37cPz4cakfvlqtLvBLRqFQQK1W68zPn6fL9OnTMWnSJGk+r0WfiIiIiKgyKbUW/TZt2kAmk+mcZs2aJS13//59dOrUCcHBwfjggw8KlDNmzBgolUqsWbOmQN6JEycwevRo/Pbbb7C3twcAyOVyqFQqreVUKhXkcrnO/Px5uhgZGUGhUGhNREQvooJ6RBIREWkptRb9kJCQYpdJSkqCj48PRo0aBX9//wL5X3zxBS5evIi//vpLqysOAPzzzz/o378/9uzZg3feeUdKd3d3R3R0NDQajbROWFiY1Crv7u6O0NBQqftOWFhYoV2GiIiIiIj0Rbn10VepVOjcuTO6d++OadOmFcifN28eDh48iN9//x3m5uZaeaGhoejRowd+/PFHtG/fXivPzc0NjRo1wqJFi6DRaLBu3TrIZDK0bdsWAODr64vFixcjMTERN2/exA8//IAhQ4aU2X4SEREREb0Oyi3Q379/Py5duoRVq1ZBLpdLU57Zs2fj1q1bqFWrlpS3bds2AMCSJUuQnJyMQYMGSXldu3aV1t2+fTuOHj0KS0tLrF69Gj///DOqVn32Z8Xo0aPh7e2N+vXro1WrVpg0aRI6dOhQXrtNRERERFQhKmx4zcqipMMXERHlDa85ZMiQQofwJSIielWv/fCaRERERERUdhjoExERERHpIQb6RERERER6iIE+EREREZEeYqBPRERERKSHGOgTEREREekhBvpERKVEJpNVdBWIiIgkDPSJiIiIiPQQA30iIiIiIj3EQJ+IiIiISA8x0CciKiW2trYAgPbt21dsRYiIiABUregKEBHpCxsbG6SlpcHMzKyiq0JERMRAn4ioNMnl8oquAhEREQB23SEiIiIi0ksM9ImIiIiI9BADfSIiIiIiPcQ++sUQQgAAVCpVBdeEiIiIiOjfuDQvTi0MA/1ipKWlAQCcnZ0ruCZERERERP9KS0uDhYVFofkyUdxPgTdcbm4uIiMj4e7ujri4OCgUioquElGFUqlUcHZ25vVAbzxeC0T/4vVQvoQQSEtLQ40aNWBgUHhPfLboF8PAwAA1a9YEACgUCp68RP/D64HoGV4LRP/i9VB+imrJz8ObcYmIiIiI9BADfSIiIiIiPcRAvwSMjIwQGBgIIyOjiq4KUYXj9UD0DK8Fon/xeng98WZcIiIiIiI9xBZ9IiIiIiI9xECfiIiIiEgPMdAnIiIiItJDDPSJiIiIiPQQA30iIiIiIj30QoG+RqPB8OHD4eLiAoVCgZYtW+LMmTNS/qJFi2BnZwdra2t88cUXyD+gT0BAAOrVqweZTIaTJ09qlZuSkoJ+/frB2toaDg4OGDduHHJycgqtR1FlnTp1Ct7e3pDL5Wjfvn2x+7R69Wo0bdoUhoaGCAoK0soTQiAoKAjOzs6wtLTEyJEj8fTpUwCAXC6XJplMBjMzM2n+7t272Lt3L1q2bAljY2MMHTpUq9zs7Gz07dsXzs7OkMlkuH37dpF1zMjIgK+vL8zNzeHi4oIdO3Zo1XHmzJmoXr06rKys0KNHD9y/f7/Qss6fPw8vLy+YmprC29sbd+7cKdF2qPIo7Jx++PAhevToAXt7e8hksmLLSUxMRLdu3WBmZgY3NzccP35cysvMzMS4cePg6OgIW1tbzJgxo8iybt26hdatW8PU1BRNmzbF1atXpbzc3FxMmDABlpaWcHBwwNKlS198p4l0KK1roajvCQDYtGkTnJycoFAoMGzYMOl7QhdeC1RRyuN6KM3vGaDouJJK5oUC/ezsbLi6uiIkJASPHz/GhAkT0KNHD6jVahw+fBgrV67E2bNnERERgSNHjmDDhg3Suk2aNMH69etRp06dAuUGBgYiPT0dcXFxCAsLw6lTp7B+/fpC61FUWaamphg1ahS+/PLLEu1T9erVERQUhD59+hTI27RpE/bs2YOzZ88iLi4OCQkJmDt3LgBArVZLk5GREcLDw6V5FxcXWFtbY8qUKRgzZozO7bZt2xa7d+8u0XizgYGBSEpKQnx8PHbv3o0xY8YgMjISAPDzzz9jy5Yt+Oeff/Dw4UPY2Nhg8uTJOsvRaDTo3bs3xo8fj5SUFLRp0wa+vr4l2g5VHoWd0wYGBvjwww+xefPmEpUzduxYODo6IjExEd988w369++PlJQUAMDChQsRGhqK69evIyIiAseOHSvymh04cCB8fHyQkpKCkSNH4uOPP0Z2djYAYM2aNTh58iSioqIQEhKCxYsXF/iwJ3oZpXUtFPU9ERoaiokTJ2L//v2Ii4tDXFwcgoODCy2L1wJVlPK4Hkrze6a4uJJKSLyi6tWriwsXLogBAwaI4OBgKX3jxo2iXbt2BZZ3c3MTJ06c0Err3r27WLdunTQ/depUMX78+GK3rausPDt27BDe3t4l2gchhPD39xeBgYFaaX369BHLli2T5kNCQkTNmjULrGtkZCRiY2N1lrtw4ULh5+dX6HaLWjePo6OjOH36tDTv5+cnvvzySyGEEIsXLxaDBg2S8g4dOiS8vLx0lvP777+LunXrSvNPnjwRJiYmIiYmptjtUOWj65wWQogHDx6I4i79tLQ0YWhoKOLi4qQ0b29vsWHDBiGEEM2aNRMHDhyQ8rZu3Spat26ts6wbN24IMzMzkZmZKaXVqlVL/PXXX0IIIVq2bCm2bNki5QUGBoohQ4YUv4NEJfQq10Jx5UybNk2MGDFCmj9x4oRwcXHRuT6vBXodlOX18CJlFfc9U9K4kor2Sn30o6OjkZKSgnr16iEiIgJeXl5SnqenJ8LDw0tUjr+/P3777TekpaXhwYMHOHLkCDp27PgqVSs1It/fREIIxMfHQ6lUluk2Fy1ahO7duwMAUlNTkZCQUOix7du3L6KiohAbG4uMjAzs2LEDnTp1kpb18vLC9u3bAaDAe2Rqaoq6desiPDy82O2Q/hszZoz0D1R0dDTkcjmcnJyk/OfPh+evjfx53bt3x6JFiwA8O+8aNGig9e9V/rJe5bODqCzkvxaKo+v8vXv3LtRqNQBeC1T5vcj18CJlFfc9w+uhdFR92RXz+nNPnz4dFhYWUKvVUCgUUr5CoZA+6IrTpEkTqFQqWFlZIScnByNGjJAC3YrUpUsXfPvtt/joo49gYWGBhQsXAgCePHkCCwuLMtvutGnTpNd5x9Dc3FxKy39sHR0d0bx5c9SpUwdVqlSBl5cXVq1aJS177do1rbLyv0f5yypuO6T/8p83hZ0rycnJAP69Nlq3bo2srCwsW7YMT548kZY9ePBgsWXlnVuv8tlBVBbyXwvF0XX+5qXL5XJeC1Tpvcj18CJlFfc9w+uhdLxUi35WVhb69euHevXqSX3h5XI5VCqVtIxKpYJcLi9Ref3790ezZs2gVquRkJCAqKgoLF++HADg4eGhdZPrqwgICJDK2rZtW7HLDx8+HP3794e3tzcaN24MHx8fGBoawsHB4ZXq8SLyjmFaWpqUlv/YzpkzBxEREXj06BHS0tLQrl07+Pn5FVpW/vcof1nFbYfeLEWdKwAwc+ZMeHl5oUmTJmjdujV69+6t1SrzImW9ymcHUUXTdf7mpRe3bN7yvBboTcTroXy8cKCfm5uL//znP5DJZPjpp5+ku6rd3d0RGhoqLRcWFgYPD48SlXn16lWMGjUKxsbGcHBwQP/+/aUbkJ6/yfVVrFmzRipr8ODBxS5vYGCAOXPm4Pbt27h37x48PDzQtGlTVKlS5ZXq8SKsrKzg6OhY6LG9evUqBgwYADs7O5iYmODTTz8t9Oat59+jjIwM3Lp1Cx4eHsVuh94s9evXh1qtRnx8vJSW/3wwMTHBihUrcO/ePcTExMDGxgbNmzfXWZa7uzuio6Oh0Wh0lvUqnx1EFU3X+evi4qIzIOG1QPSv4r5neD2UjhcO9P39/fHgwQPs2bMHVav+2/PH19cXa9euRUxMDB4+fIglS5ZgyJAhUv7Tp0+RmZkJIYTWawB45513sGHDBmRlZSE5ORl79+6Fp6dnoXUoqqzc3FxkZmYiKytL63VhsrOzkZmZiZycHK3XAJCUlISYmBip//HkyZMRGBhYouOUk5ODzMxMZGdna73Oo9FokJmZWeC1Lr6+vpg3bx7S0tJw7tw5HDhwAIMGDZKO3e7du5GSkoKnT59iw4YNhR679u3bIyMjAxs2bIBGo8H8+fPRrFkz1K5du9jtUOVR1DmdmZkpBRn5Xz9PLpejV69eCAwMREZGBg4ePIhr166hV69eAIB79+7hwYMHyM3NxZkzZ7BgwQLMnDlTZ1lubm5o1KgRFi1aBI1Gg3Xr1kEmk6Ft27YAnp13ixcvRmJiIm7evIkffvhB67OD6GWVxrVQXDmDBg3Cvn37cPHiRSiVSsyfP7/Q85fXAlWk8rgeXqSs4r5niosrqYRe5M7d27dvCwDC2NhYmJmZSdOpU6eEEEIsWLBA2NjYCEtLSzF16lSRm5srrevt7S0AaE15o81ER0eLjh07CktLS2FnZyf8/PyEWq0utB5FlXXixIkCeUWNehMYGFhg+Y0bNwohhIiIiBB169YVJiYmom7dulL683SNnLNx48YC5ea/O71WrVoF8vPMnz9fdOnSRZpPT08XgwYNEmZmZsLJyUls27ZNynvy5IkYPny4sLe3F5aWlqJDhw7ixo0bUr67u7vYunWrNH/u3Dnh6ekpjI2NRdu2bcXt27dLtB2qPIo6p59Pr1WrlrSev7+/8Pf3l+YfPXokunbtKkxMTET9+vXFn3/+KeX99ddfwtnZWZiYmIjGjRuLgwcPatWhS5cuYv78+dJ8dHS0aNWqlTA2NhZNmjQRly9flvJycnLE559/LiwsLISdnZ349ttvS/eA0BurtK6FosoR4tnnfY0aNYRcLhd+fn5ao+rwWqDXRXldD6X1PSNE0XEllYxMCD59gIiIiIhI37zS8JpERERERPR6YqBPRERERKSHGOgTEREREekhBvpERERERHqIgT4RERERkR5ioE9EREREpIcY6BMRERER6SEG+kREREREeoiBPhERERGRHmKgT0RERESkhxjoExERERHpof8Pfm7U/K6xYjIAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "execution_count": 67, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "row_number = 0\n", - "st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", - " station=st_df.iloc[row_number].station, location=\"*\", \n", - " channel='HNZ', starttime=t1, endtime=t2)\n", - "st.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "d9a829d6", - "metadata": {}, - "source": [ - "Below is a plot of retrived waveform that did not pass our quality control test" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "39a65737", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "execution_count": 66, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "row_number = 9\n", - "st = client.get_waveforms(network=st_df.iloc[row_number].network, \n", - " station=st_df.iloc[row_number].station, location=\"*\", \n", - " channel='HNZ', starttime=t1, endtime=t2)\n", - "st.plot()" - ] - }, - { - "cell_type": "markdown", - "id": "c8c6c751", - "metadata": {}, - "source": [ - "If satisfied with the quality control, save the station dataframe with all the processing parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 73, - "id": "c617750b", - "metadata": {}, - "outputs": [], - "source": [ - "# Save the station dataframe to a CSV file\n", - "st_df.to_csv(\"station_dataframe_processed.csv\", index=False)" - ] - }, - { - "cell_type": "markdown", - "id": "404a1b26", - "metadata": {}, - "source": [ - "## **Reflection**" - ] - }, - { - "cell_type": "markdown", - "id": "c8b02e8a", - "metadata": {}, - "source": [ - "For small datasets, the traditional local workflow may be sufficient. But, for large-scale seismic datasets repeatedly downloading and processing raw data on a local machine can become cumbersome. In that case, a cloud-optimized or GeoLab-based workflow can make the process faster, reproducible, and easier to scale.\n", - "\n", - "| Workflow step | Traditional Workflow | GeoLab based Workflow |\n", - "| :---: | :---: | :---: |\n", - "| Data access | Need to download raw data | Cloud-optimized access to raw data & save processed waveform of small or intermediate scale |\n", - "| Data storage | Save processed waveforms on local machine | Save processed waveform of small or intermediate scale in temporary cloud storage |\n", - "| Computational load | Large datasets can stress local RAM, disk storage, disk cache, CPU & network bandwidth | Efficient data access with negligible stress on computational resources |\n", - "| Repeated experiements | Changing parameters may require repeated downloads and local reprocessing | Parameters can be tested efficiently on subsets before scaling up |" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.10" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/tutorials/MVP1-SAGE/Notebook3_mvp2.ipynb b/tutorials/MVP1-SAGE/Notebook3_mvp2.ipynb deleted file mode 100644 index 53d9c85..0000000 --- a/tutorials/MVP1-SAGE/Notebook3_mvp2.ipynb +++ /dev/null @@ -1,2161 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "id": "9ce259eb", - "metadata": {}, - "source": [ - "# **Notebook 3** - Running a Scientific Workflow\n", - "\n", - "### MVP2 focus: Workflow execution and output comparison" - ] - }, - { - "cell_type": "markdown", - "id": "856b8a09", - "metadata": {}, - "source": [ - "In Notebook 1 and 2, we have discovered, retrieved, inspected, and prepared the seismic data. Now, our goal is to determine if we can use it to run a real scientific workflow and evaluate the result. This notebook uses preprocessed waveform data from Notebook 2.\n", - "\n", - "In the first two notebooks, we prepared the ingredients for analysis. Now we will use those ingredients to run a scientific workflow. This is a key transition in cloud-based science. Instead of treating data preparation and scientific analysis as separate tasks, GeoLab allows us to keep the full workflow in one reproducible environment. We can discover data, prepare data, run analysis, compare outputs, and revise choices without repeatedly downloading large waveform files to a local workstation.\n", - "\n", - "**What is notebook does**\n", - "1. automatically pick P and S arrivals in preprocessed waveform using SeisBench;\n", - "2. visually inspect the picks and apply quality control;\n", - "3. estimate waveform similarity and relative delay times using cross-correlation;\n", - "4. compare how processing choices affect pick quality, SNR, and delay-time measurements;\n", - "5. refine the dataset by keeping high-quality waveforms and discarding poor-quality ones.\n", - "\n", - "The goal is not only to produce a result, but to learn how cloud-based workflows make it easier to iterate: we can quickly test, compare, discard, and add waveforms without repeatedly rebuilding the workflow from scratch.\n", - "\n", - "**What you will accomplish**\n", - "By the end of Notebook 3, learners should be able to:\n", - "\n", - "1. Use a prepared station/event dataset from earlier notebooks to run a scientific workflow.\n", - "2. Apply SeisBench to automatically pick P and S arrivals.\n", - "3. Build a pick table that connects station metadata, waveform quality metrics, and arrival-time measurements.\n", - "4. Use waveform plots to visually QC automatic picks.\n", - "5. Use cross-correlation to estimate waveform similarity and relative delay times.\n", - "6. Compare how filtering and SNR thresholds affect the final scientific output.\n", - "7. Explain why cloud-based, metadata-driven workflows make iterative seismic analysis easier.\n", - "\n", - "**Required inputs from previous notebooks**\n", - "This notebook uses the following files created earlier:\n", - "\n", - "- `event_selection.json` — selected event origin time, location, and waveform window\n", - "- `station_dataframe.csv` — station/channel metadata and waveform availability\n", - "- `station_inventory.xml` — instrument metadata\n", - "- preprocessed waveforms or a processing recipe from Notebook 2\n", - "- optional: `waveform_qc_table.csv` from Notebook 2, if learners saved QC decisions" - ] - }, - { - "cell_type": "markdown", - "id": "2d8c9413", - "metadata": {}, - "source": [ - "## **1. Workflow execution**" - ] - }, - { - "cell_type": "markdown", - "id": "a50de87f", - "metadata": {}, - "source": [ - "In this section, we use the processing choices saved in Notebook 2 to run a real seismic workflow. The workflow has three main stages:\n", - "\n", - "1. stream waveforms from the saved preprocessing recipe;\n", - "2. automatically pick P and S arrivals using SeisBench;\n", - "3. use the picks to compare waveforms and estimate relative delay times." - ] - }, - { - "cell_type": "markdown", - "id": "a6e4f750", - "metadata": {}, - "source": [ - "#### **1.1 Load saved metadata**" - ] - }, - { - "cell_type": "markdown", - "id": "e329d8c4", - "metadata": {}, - "source": [ - "We begin by loading the three lightweight products created in the previous notebooks. These files contain the event information, station metadata, instrument response, and the processing parameters selected during visual inspection." - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "id": "73539f6f", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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networkstationstart_datelatitudelongitudeelevationchannelsample_ratedata_availablegaps_detectedtime_pick1time_pick2freqminfreqmaxqc_test
0USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0TrueFalse80.0100.02.08.0True
1UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0TrueFalse127.0145.02.010.0True
2UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0TrueFalse127.0145.02.09.0True
3UWERW1997-12-01T00:00:00.000000Z48.453827-122.626121387.0HNZ200.0TrueFalse135.0160.02.09.0False
4UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0TrueFalse125.0140.00.510.0True
5UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0TrueFalse140.0175.04.010.0True
6UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0TrueFalse130.0175.02.510.0True
7UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0TrueFalse120.0155.02.58.0True
8UWQCDG2011-11-16T00:00:00.000000Z48.100020-122.58696052.2HNZ200.0TrueFalse55.075.02.58.0False
9UWQCEN2012-06-14T00:00:00.000000Z46.716350-122.96190055.4HNZ200.0TrueFalse55.075.02.58.0False
10UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0TrueFalse57.570.02.58.0True
11UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0TrueFalse55.570.02.510.0True
12UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0TrueFalse55.570.02.57.5True
13UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0TrueFalse55.570.02.010.0True
14UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0TrueFalse55.570.02.010.0True
15UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0TrueFalse120.0175.02.010.0True
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" - ], - "text/plain": [ - " network station start_date latitude longitude \\\n", - "0 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", - "1 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", - "2 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", - "3 UW ERW 1997-12-01T00:00:00.000000Z 48.453827 -122.626121 \n", - "4 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", - "5 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", - "6 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", - "7 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", - "8 UW QCDG 2011-11-16T00:00:00.000000Z 48.100020 -122.586960 \n", - "9 UW QCEN 2012-06-14T00:00:00.000000Z 46.716350 -122.961900 \n", - "10 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", - "11 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", - "12 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", - "13 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", - "14 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", - "15 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", - "\n", - " elevation channel sample_rate data_available gaps_detected time_pick1 \\\n", - "0 640.0 HNZ 200.0 True False 80.0 \n", - "1 62.0 HNZ 200.0 True False 127.0 \n", - "2 601.0 HNZ 200.0 True False 127.0 \n", - "3 387.0 HNZ 200.0 True False 135.0 \n", - "4 1605.0 HNZ 200.0 True False 125.0 \n", - "5 60.4 HNZ 200.0 True False 140.0 \n", - "6 112.5 HNZ 200.0 True False 130.0 \n", - "7 741.0 HNZ 200.0 True False 120.0 \n", - "8 52.2 HNZ 200.0 True False 55.0 \n", - "9 55.4 HNZ 200.0 True False 55.0 \n", - "10 90.2 HNZ 200.0 True False 57.5 \n", - "11 56.4 HNZ 200.0 True False 55.5 \n", - "12 53.3 HNZ 200.0 True False 55.5 \n", - "13 116.9 HNZ 200.0 True False 55.5 \n", - "14 78.8 HNZ 200.0 True False 55.5 \n", - "15 126.0 HNZ 200.0 True False 120.0 \n", - "\n", - " time_pick2 freqmin freqmax qc_test \n", - "0 100.0 2.0 8.0 True \n", - "1 145.0 2.0 10.0 True \n", - "2 145.0 2.0 9.0 True \n", - "3 160.0 2.0 9.0 False \n", - "4 140.0 0.5 10.0 True \n", - "5 175.0 4.0 10.0 True \n", - "6 175.0 2.5 10.0 True \n", - "7 155.0 2.5 8.0 True \n", - "8 75.0 2.5 8.0 False \n", - "9 75.0 2.5 8.0 False \n", - "10 70.0 2.5 8.0 True \n", - "11 70.0 2.5 10.0 True \n", - "12 70.0 2.5 7.5 True \n", - "13 70.0 2.0 10.0 True \n", - "14 70.0 2.0 10.0 True \n", - "15 175.0 2.0 10.0 True " - ] - }, - "execution_count": 55, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "from obspy import read_inventory\n", - "st_inv = read_inventory(\"station_inventory.xml\")\n", - "\n", - "import pandas as pd\n", - "st_df = pd.read_csv(\"station_dataframe_processed.csv\")\n", - "\n", - "import json\n", - "\n", - "with open(\"event_selection.json\", \"r\") as f:\n", - " event_selection = json.load(f)\n", - "\n", - "from obspy import UTCDateTime\n", - "event_time = UTCDateTime(event_selection[\"event_time\"])\n", - "start_time = UTCDateTime(event_selection[\"start_time\"])\n", - "end_time = UTCDateTime(event_selection[\"end_time\"])\n", - "event_lat = event_selection[\"event_latitude\"]\n", - "event_lon = event_selection[\"event_longitude\"]\n", - "event_dpt = event_selection[\"event_depth\"]\n", - "\n", - "from obspy.clients.fdsn import Client\n", - "client = Client(\"https://service.earthscope.org\")\n", - "\n", - "# Check that the processing columns from Notebook 2 are available\n", - "required_columns = [\"time_pick1\", \"time_pick2\", \"freqmin\", \"freqmax\", \"qc_test\"]\n", - "\n", - "missing_columns = [col for col in required_columns if col not in st_df.columns]\n", - "\n", - "if missing_columns:\n", - " raise ValueError(\n", - " f\"The station dataframe is missing these required columns: {missing_columns}. \"\n", - " \"Return to Notebook 2 and save the processing parameters before running Notebook 3.\"\n", - " )\n", - "\n", - "st_df" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "id": "8015fcb8", - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "{'event_time': '2018-11-19T11:09:13.130000Z',\n", - " 'event_latitude': 47.711333333333,\n", - " 'event_longitude': -123.55416666667,\n", - " 'event_depth': 39.42,\n", - " 'start_time': '2018-11-19T11:07:13.130000Z',\n", - " 'end_time': '2018-11-19T11:17:13.130000Z'}" - ] - }, - "execution_count": 56, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "event_selection" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "id": "9ddaccd3", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Total stations in dataframe: 16\n", - "Stations passing QC: 13\n" - ] - } - ], - "source": [ - "# Keep only stations that passed the Notebook 2 QC step\n", - "st_df[\"qc_test\"] = st_df[\"qc_test\"].astype(bool)\n", - "usable_df = st_df[st_df[\"qc_test\"] == True].copy()\n", - "\n", - "print(f\"Total stations in dataframe: {len(st_df)}\")\n", - "print(f\"Stations passing QC: {len(usable_df)}\")" - ] - }, - { - "cell_type": "markdown", - "id": "24c0c2ce", - "metadata": {}, - "source": [ - "#### **1.2 Stream waveforms**" - ] - }, - { - "cell_type": "markdown", - "id": "5f359699", - "metadata": {}, - "source": [ - "In Notebook 2, we used waveform plots and spectrograms to choose a trimming window and filter band for each station. Here, we apply those saved choices.\n", - "\n", - "For each station, we will:\n", - "\n", - "1. request the waveform window from the data service;\n", - "2. merge traces if needed;\n", - "3. trim the waveform using `time_pick1` and `time_pick2`;\n", - "4. remove the instrument response;\n", - "5. apply the saved bandpass filter;\n", - "6. store the processed trace temporarily in memory for the scientific workflow." - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "id": "b273d5fb", - "metadata": {}, - "outputs": [], - "source": [ - "\n", - "from scipy import signal\n", - "import numpy as np\n", - "\n", - "# Function to process waveform data for a specific station in the DataFrame\n", - "def retrieve_process_waveform(station_dataframe, row_number, start_time, end_time, st_inv):\n", - " # -------------------------------------------------------------\n", - " # 1. Retrieve waveform data and go through the processing steps\n", - " # -------------------------------------------------------------\n", - " st = client.get_waveforms(network=station_dataframe.iloc[row_number].network, \n", - " station=station_dataframe.iloc[row_number].station, location=\"*\", \n", - " channel='HNZ', starttime=start_time, endtime=end_time)\n", - "\n", - " if len(st)>1: # Check if there are multiple traces in the stream\n", - " st.sort() # Sort the traces in the stream by start time\n", - " st.merge(method=1, fill_value=\"None\") # Merge the traces in the stream\n", - " #(change fill_value for gaps/overlaps)\n", - " tr = st[0] # Get the trace from the stream\n", - "\n", - " tr_trim = tr.copy() # Trim the trace to the specified time window\n", - " tr_trim.trim(starttime=tr.stats.starttime+station_dataframe.iloc[row_number].time_pick1, \n", - " endtime=tr.stats.starttime+station_dataframe.iloc[row_number].time_pick2)\n", - " \n", - " tr_corrected = tr_trim.copy() # Apply instrument response\n", - " tr_corrected.remove_response(inventory=st_inv, output=\"ACC\") # Specify output units\n", - "\n", - " tr_filt = tr_corrected.copy()\n", - " tr_filt.detrend(\"demean\") # remove DC offset\n", - " tr_filt.detrend(\"linear\") # remove linear trend\n", - " tr_filt.taper(max_percentage=0.05, type=\"hann\") # taper the ends to zero\n", - " tr_filt.filter(\"bandpass\",\n", - " freqmin=0.5,#station_dataframe.iloc[row_number].freqmin,\n", - " freqmax=10,#station_dataframe.iloc[row_number].freqmax,\n", - " corners=4,\n", - " zerophase=True)\n", - " return tr, tr_filt" - ] - }, - { - "cell_type": "markdown", - "id": "b0a5d13c", - "metadata": {}, - "source": [ - "Now, loop through stations" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "id": "4ad054f9", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Processing station 1/13: NLWA\n", - "Processing station 2/13: BILS\n", - "Processing station 3/13: BLN\n", - "Processing station 4/13: HURR\n", - "Processing station 5/13: LWCK\n", - "Processing station 6/13: MAC\n", - "Processing station 7/13: OOW2\n", - "Processing station 8/13: QCMM\n", - "Processing station 9/13: QFRZ\n", - "Processing station 10/13: QOCL\n", - "Processing station 11/13: QSKT\n", - "Processing station 12/13: QTNB\n", - "Processing station 13/13: UPL\n" - ] - } - ], - "source": [ - "waveforms = []\n", - "for row_number in range(len(usable_df)):\n", - " print(f\"Processing station {row_number+1}/{len(usable_df)}: {usable_df.iloc[row_number].station}\")\n", - " tr, tr_filt = retrieve_process_waveform(usable_df, row_number, start_time, end_time, st_inv)\n", - " waveforms.append((tr_filt))" - ] - }, - { - "cell_type": "markdown", - "id": "c4944d4b", - "metadata": {}, - "source": [ - "#### **1.3 Automatic P and S arrival picking**" - ] - }, - { - "cell_type": "markdown", - "id": "5f87f3c6", - "metadata": {}, - "source": [ - "Now that the waveforms have been reconstructed using the saved processing recipe, we can run an automatic phase picker.\n", - "\n", - "Here we use a pretrained SeisBench model to identify possible P and S arrivals. These picks are not treated as final interpretations. They are candidate measurements that we will inspect, score, and use for waveform comparison." - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "id": "35db3e68", - "metadata": {}, - "outputs": [], - "source": [ - "# SeisBench for automatic phase picking\n", - "import seisbench.models as sbm\n", - "\n", - "# Load pretrained SeisBench PhaseNet model\n", - "model = sbm.PhaseNet.from_pretrained(\"original\")" - ] - }, - { - "cell_type": "markdown", - "id": "db8b2f08", - "metadata": {}, - "source": [ - "Here, we will go through every waveform and use PhaseNet model to automatically pick the P arrival. If PhaseNet fails to pick a P arrival, we will add `None` for that waveform" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "id": "6bfa62cf", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Processing waveform for station NLWA\n", - "P arrival time: None\n", - "\n", - "Processing waveform for station BILS\n", - "P arrival time: 2018-11-19T11:09:23.590000Z, Probability: 0.9462668299674988\n", - "\n", - "Processing waveform for station BLN\n", - "P arrival time: 2018-11-19T11:09:23.390000Z, Probability: 0.8592743873596191\n", - "\n", - "Processing waveform for station HURR\n", - "P arrival time: 2018-11-19T11:09:20.630000Z, Probability: 0.9430045485496521\n", - "\n", - "Processing waveform for station LWCK\n", - "P arrival time: 2018-11-19T11:09:36.670000Z, Probability: 0.8900146484375\n", - "\n", - "Processing waveform for station MAC\n", - "P arrival time: 2018-11-19T11:09:28.840000Z, Probability: 0.9405606985092163\n", - "\n", - "Processing waveform for station OOW2\n", - "P arrival time: 2018-11-19T11:09:22.670000Z, Probability: 0.9398932456970215\n", - "\n", - "Processing waveform for station QCMM\n", - "P arrival time: None\n", - "\n", - "Processing waveform for station QFRZ\n", - "P arrival time: 2018-11-19T11:09:28.025000Z, Probability: 0.631170928478241\n", - "\n", - "Processing waveform for station QOCL\n", - "P arrival time: 2018-11-19T11:09:27.840000Z, Probability: 0.7547444105148315\n", - "\n", - "Processing waveform for station QSKT\n", - "P arrival time: 2018-11-19T11:09:28.960000Z, Probability: 0.8510910272598267\n", - "\n", - "Processing waveform for station QTNB\n", - "P arrival time: 2018-11-19T11:09:28.310000Z, Probability: 0.8222110271453857\n", - "\n", - "Processing waveform for station UPL\n", - "P arrival time: 2018-11-19T11:09:28.920000Z, Probability: 0.9510567784309387\n", - "\n" - ] - } - ], - "source": [ - "# Combine reconstructed processed traces into a single Stream object\n", - "from obspy import Stream\n", - "min_len = 31\n", - "p_picks = []\n", - "p_probs = []\n", - "for w in waveforms:\n", - " print(f\"Processing waveform for station {w.stats.station}\")\n", - " st3 = Stream()\n", - " for comp in [\"Z\", \"N\", \"E\"]:\n", - " tc = w.copy()\n", - " if tc.stats.endtime - tc.stats.starttime < min_len:\n", - " tc.trim(tc.stats.starttime, tc.stats.starttime + min_len,\n", - " pad=True, fill_value=0.0)\n", - " tc.stats.channel = w.stats.channel[:-1] + comp\n", - " st3 += tc\n", - "\n", - " picks = model.classify(st3, P_threshold=0.3).picks\n", - " p_pick = [p for p in picks if p.phase == \"P\"]\n", - " if not p_pick:\n", - " p_pick = None\n", - " p_picks.append(None)\n", - " p_probs.append(None)\n", - " print(f\"P arrival time: {p_pick}\\n\")\n", - " else:\n", - " best = max(p_pick, key=lambda p: p.peak_value)\n", - " p_picks.append(best.peak_time)\n", - " p_probs.append(best.peak_value)\n", - " print(f\"P arrival time: {best.peak_time}, Probability: {best.peak_value}\\n\")" - ] - }, - { - "cell_type": "markdown", - "id": "22150e2a", - "metadata": {}, - "source": [ - "Below, we will visually confirm the automated P arrival picks for our waveforms. Only use this visualization recipe if you have less than 20 waveforms after filtering." - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "id": "3849d5ab", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "plt.figure(figsize=(10, len(waveforms)+1))\n", - "for i in range(len(waveforms)):\n", - " if p_picks[i] is not None:\n", - " P_pick_sec = p_picks[i] - waveforms[i].stats.starttime \n", - " plt.subplot(len(waveforms), 1, i+1)\n", - " plt.plot(waveforms[i].times(), waveforms[i].data)\n", - " if p_picks[i] is not None:\n", - " plt.axvline(x=P_pick_sec, color='r', linestyle='--', label='P Pick')\n", - " plt.legend()\n", - " plt.title(f\"Station: {usable_df.iloc[i].station} ({usable_df.iloc[i].network})\")\n", - " plt.grid()\n", - "plt.tight_layout()" - ] - }, - { - "cell_type": "markdown", - "id": "61868b40", - "metadata": {}, - "source": [ - "Here, assign a P arrival time for waveforms where PhaseNet failed to identify the P-arrival. Then visually confirm that that the picks have been assigned." - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "id": "3b9dc882", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "none_index = 7\n", - "new_pick = 1.8\n", - "\n", - "picks = p_picks\n", - "picks[none_index] = waveforms[none_index].stats.starttime + new_pick\n", - "\n", - "plt.figure(figsize=(10, 2))\n", - "\n", - "plt.plot(waveforms[none_index].times(), waveforms[none_index].data)\n", - "plt.axvline(x=new_pick, color='r', linestyle='--', label='P Pick')\n", - "plt.legend()\n", - "plt.title(f\"Station: {usable_df.iloc[none_index].station} ({usable_df.iloc[none_index].network})\")\n", - "plt.grid()" - ] - }, - { - "cell_type": "markdown", - "id": "c536b460", - "metadata": {}, - "source": [ - "Here, check if any waveform is without any P-arrival picks" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "b044ca50", - "metadata": {}, - "outputs": [], - "source": [ - "from obspy import UTCDateTime\n", - "\n", - "for i, p in enumerate(picks):\n", - " if p is None:\n", - " raise ValueError(f\"No P pick found for station {usable_df.iloc[i].station}.\")\n", - "\n", - "# use a nearby reference time\n", - "reference_time = min(picks)\n", - "\n", - "pick_seconds_relative = np.array([pick_time - reference_time for pick_time in picks], dtype=float)\n", - "\n", - "# Pairwise differential pick times:\n", - "# dt_mat[i, j] = pick_i - pick_j\n", - "dt_mat = (\n", - " pick_seconds_relative[:, None]\n", - " - pick_seconds_relative[None, :]\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "f542d12f", - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "HURR -6.0831 s\n", - "NLWA -4.8281 s\n", - "OOW2 -4.0431 s\n", - "BLN -3.3231 s\n", - "BILS -3.1231 s\n", - "QCMM +0.8269 s\n", - "QOCL +1.1269 s\n", - "QFRZ +1.3119 s\n", - "QTNB +1.5969 s\n", - "MAC +2.1269 s\n", - "UPL +2.2069 s\n", - "QSKT +2.2469 s\n", - "LWCK +9.9569 s\n" - ] - } - ], - "source": [ - "import itertools\n", - "\n", - "rows = []\n", - "data = []\n", - "pairs = []\n", - "\n", - "for i, j in itertools.combinations(range(len(waveforms)), 2):\n", - " if np.isnan(dt_mat[i, j]):\n", - " continue\n", - "\n", - " row = np.zeros(len(waveforms))\n", - " row[i] = 1.0\n", - " row[j] = -1.0\n", - "\n", - " rows.append(row)\n", - " data.append(dt_mat[i, j])\n", - " pairs.append((i, j))\n", - "\n", - "A = np.asarray(rows, dtype=float)\n", - "d = np.asarray(data, dtype=float)\n", - "\n", - "if len(d) == 0:\n", - " raise ValueError(\"No valid differential pick times were found.\")\n", - "\n", - "# Add the zero-mean constraint:\n", - "# t_1 + t_2 + ... + t_n = 0\n", - "constraint_weight = 10.0\n", - "\n", - "A = np.vstack([\n", - " A,\n", - " np.ones(len(waveforms)) * constraint_weight\n", - "])\n", - "\n", - "d = np.append(d, 0.0)\n", - "\n", - "t_rel, _, _, _ = np.linalg.lstsq(\n", - " A,\n", - " d,\n", - " rcond=None\n", - ")\n", - "\n", - "# Remove any tiny numerical mean\n", - "t_rel -= np.mean(t_rel)\n", - "\n", - "names = [waveform.stats.station for waveform in waveforms]\n", - "\n", - "for name, delay in sorted(\n", - " zip(names, t_rel),\n", - " key=lambda item: item[1]\n", - "):\n", - " print(f\"{name:6s} {delay:+.4f} s\")" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "id": "123a9a7e", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import cartopy.crs as ccrs\n", - "import cartopy.feature as cfeature\n", - "\n", - "fig = plt.figure(figsize=(6, 6))\n", - "ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())\n", - "\"\"\"Add land/ocean/coastline context and frame the search box.\"\"\"\n", - "min_lat, max_lat = 46, 48.5 # south / north edges\n", - "min_lon, max_lon = -125.5, -122.5 # west / east \n", - "ax.set_extent([min_lon, max_lon, min_lat, max_lat], crs=ccrs.PlateCarree())\n", - "ax.add_feature(cfeature.LAND, facecolor=\"#f3f0ea\")\n", - "ax.add_feature(cfeature.OCEAN, facecolor=\"#dcebf2\")\n", - "ax.add_feature(cfeature.COASTLINE, linewidth=0.6)\n", - "ax.add_feature(cfeature.STATES, linestyle=\":\", linewidth=0.4)\n", - "gl = ax.gridlines(draw_labels=True, linewidth=0.3, color=\"gray\", alpha=0.5)\n", - "gl.top_labels = gl.right_labels = False\n", - "\n", - "ax.scatter(event_lon, event_lat, marker=\"*\", s = 150, color = \"navy\", \n", - " transform=ccrs.PlateCarree(), zorder=6)\n", - "\n", - "ax.scatter(event_lon, event_lat, marker=\"*\", s = 150, color = \"navy\", \n", - " transform=ccrs.PlateCarree(), zorder=6)\n", - "\n", - "st_df_flt = st_df[st_df['qc_test']]\n", - "sc = ax.scatter(st_df_flt['longitude'], st_df_flt['latitude'], marker=\"o\", s=40,\n", - " c = t_rel, linewidths=2.2,\n", - " transform=ccrs.PlateCarree(), zorder=5)\n", - "cbar = fig.colorbar(sc)\n", - "cbar.set_label(\"Relative Delay Time (s)\")" - ] - }, - { - "cell_type": "markdown", - "id": "e7401cbc", - "metadata": {}, - "source": [ - "#### **Correcting the Delay Map for Source–Station Distance**\n", - "\n", - "The relative arrival-time map shown above contains two main influences:\n", - "\n", - "1. **Source–station geometry:** stations farther from the earthquake generally record the P wave later because the wave travels a longer distance.\n", - "2. **Subsurface velocity structure:** P waves travel more slowly through low-velocity materials, such as sedimentary basins, and more quickly through higher-velocity crustal rocks.\n", - "\n", - "To better isolate the effect of subsurface structure, we first estimate the arrival time expected from the earthquake-to-station distance. For this exercise, we assume that the P wave travels along a straight path through a homogeneous Earth with a constant velocity of:\n", - "\n", - "$$V_P = 5.0\\ \\text{km/s}$$\n", - "\n", - "The approximate hypocentral distance is calculated as:\n", - "\n", - "$$D_{\\mathrm{hypo}} =\\sqrt{D_{\\mathrm{horizontal}}^2 + D_{\\mathrm{vertical}}^2}$$\n", - "\n", - "where $D_{\\mathrm{horizontal}}$ is the surface distance between the earthquake and station, and $D_{\\mathrm{vertical}}$ is the vertical separation between the hypocenter and station.\n", - "\n", - "The predicted P-wave travel time is then:\n", - "\n", - "$$t_{\\mathrm{pred}} = \\frac{D_{\\mathrm{hypo}}}{V_P}$$\n", - "\n", - "Because the observed delays were calculated relative to the network average, the predicted travel times must also be converted to relative times before they are compared." - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "id": "2de85b3d", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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networkstationstart_datelatitudelongitudeelevationchannelsample_ratedata_availablegaps_detectedtime_pick1time_pick2freqminfreqmaxqc_testhorizontal_distance_kmvertical_distance_kmhypocentral_distance_kmpredicted_travel_time_s
0USNLWA2006-07-05T00:00:00.000000Z47.391700-123.869100640.0HNZ200.0TrueFalse80.0100.02.08.0True42.71792840.060058.56300011.712600
1UWBILS2015-03-30T00:00:00.000000Z47.539660-124.25138062.0HNZ200.0TrueFalse127.0145.02.010.0True55.77275539.482068.33321713.666643
2UWBLN1980-01-11T00:00:00.000000Z48.006624-122.972646601.0HNZ200.0TrueFalse127.0145.02.09.0True54.51101540.021067.62493113.524986
3UWHURR2017-05-10T00:00:00.000000Z47.970350-123.4987101605.0HNZ200.0TrueFalse125.0140.00.510.0True29.09698441.025050.29597510.059195
4UWLWCK2015-01-29T00:00:00.000000Z46.277800-124.05360060.4HNZ200.0TrueFalse140.0175.04.010.0True163.83110139.4804168.52101233.704202
5UWMAC2018-06-25T00:00:00.000000Z47.246700-122.531800112.5HNZ200.0TrueFalse130.0175.02.510.0True92.77108039.5325100.84290720.168581
6UWOOW22015-03-03T00:00:00.000000Z47.749190-124.175440741.0HNZ200.0TrueFalse120.0155.02.58.0True46.79346540.161061.66469312.332939
7UWQCMM2011-05-20T00:00:00.000000Z47.286380-122.50765090.2HNZ200.0TrueFalse57.570.02.58.0True91.92027239.5102100.05194820.010390
8UWQFRZ2010-09-28T00:00:00.000000Z47.034680-122.92066056.4HNZ200.0TrueFalse55.570.02.510.0True89.15424539.476497.50315719.500631
9UWQOCL2010-09-02T00:00:00.000000Z47.026490-122.90044053.3HNZ200.0TrueFalse55.570.02.57.5True90.74760739.473398.96095019.792190
10UWQSKT2011-05-24T00:00:00.000000Z47.213440-122.533120116.9HNZ200.0TrueFalse55.570.02.010.0True94.81861639.5369102.73138020.546276
11UWQTNB2010-09-01T00:00:00.000000Z47.289220-122.55690078.8HNZ200.0TrueFalse55.570.02.010.0True88.58843339.498896.99518419.399037
12UWUPL2018-07-19T00:00:00.000000Z47.214431-122.546085126.0HNZ200.0TrueFalse120.0175.02.010.0True93.96133539.5460101.94419320.388839
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" - ], - "text/plain": [ - " network station start_date latitude longitude \\\n", - "0 US NLWA 2006-07-05T00:00:00.000000Z 47.391700 -123.869100 \n", - "1 UW BILS 2015-03-30T00:00:00.000000Z 47.539660 -124.251380 \n", - "2 UW BLN 1980-01-11T00:00:00.000000Z 48.006624 -122.972646 \n", - "3 UW HURR 2017-05-10T00:00:00.000000Z 47.970350 -123.498710 \n", - "4 UW LWCK 2015-01-29T00:00:00.000000Z 46.277800 -124.053600 \n", - "5 UW MAC 2018-06-25T00:00:00.000000Z 47.246700 -122.531800 \n", - "6 UW OOW2 2015-03-03T00:00:00.000000Z 47.749190 -124.175440 \n", - "7 UW QCMM 2011-05-20T00:00:00.000000Z 47.286380 -122.507650 \n", - "8 UW QFRZ 2010-09-28T00:00:00.000000Z 47.034680 -122.920660 \n", - "9 UW QOCL 2010-09-02T00:00:00.000000Z 47.026490 -122.900440 \n", - "10 UW QSKT 2011-05-24T00:00:00.000000Z 47.213440 -122.533120 \n", - "11 UW QTNB 2010-09-01T00:00:00.000000Z 47.289220 -122.556900 \n", - "12 UW UPL 2018-07-19T00:00:00.000000Z 47.214431 -122.546085 \n", - "\n", - " elevation channel sample_rate data_available gaps_detected time_pick1 \\\n", - "0 640.0 HNZ 200.0 True False 80.0 \n", - "1 62.0 HNZ 200.0 True False 127.0 \n", - "2 601.0 HNZ 200.0 True False 127.0 \n", - "3 1605.0 HNZ 200.0 True False 125.0 \n", - "4 60.4 HNZ 200.0 True False 140.0 \n", - "5 112.5 HNZ 200.0 True False 130.0 \n", - "6 741.0 HNZ 200.0 True False 120.0 \n", - "7 90.2 HNZ 200.0 True False 57.5 \n", - "8 56.4 HNZ 200.0 True False 55.5 \n", - "9 53.3 HNZ 200.0 True False 55.5 \n", - "10 116.9 HNZ 200.0 True False 55.5 \n", - "11 78.8 HNZ 200.0 True False 55.5 \n", - "12 126.0 HNZ 200.0 True False 120.0 \n", - "\n", - " time_pick2 freqmin freqmax qc_test horizontal_distance_km \\\n", - "0 100.0 2.0 8.0 True 42.717928 \n", - "1 145.0 2.0 10.0 True 55.772755 \n", - "2 145.0 2.0 9.0 True 54.511015 \n", - "3 140.0 0.5 10.0 True 29.096984 \n", - "4 175.0 4.0 10.0 True 163.831101 \n", - "5 175.0 2.5 10.0 True 92.771080 \n", - "6 155.0 2.5 8.0 True 46.793465 \n", - "7 70.0 2.5 8.0 True 91.920272 \n", - "8 70.0 2.5 10.0 True 89.154245 \n", - "9 70.0 2.5 7.5 True 90.747607 \n", - "10 70.0 2.0 10.0 True 94.818616 \n", - "11 70.0 2.0 10.0 True 88.588433 \n", - "12 175.0 2.0 10.0 True 93.961335 \n", - "\n", - " vertical_distance_km hypocentral_distance_km predicted_travel_time_s \n", - "0 40.0600 58.563000 11.712600 \n", - "1 39.4820 68.333217 13.666643 \n", - "2 40.0210 67.624931 13.524986 \n", - "3 41.0250 50.295975 10.059195 \n", - "4 39.4804 168.521012 33.704202 \n", - "5 39.5325 100.842907 20.168581 \n", - "6 40.1610 61.664693 12.332939 \n", - "7 39.5102 100.051948 20.010390 \n", - "8 39.4764 97.503157 19.500631 \n", - "9 39.4733 98.960950 19.792190 \n", - "10 39.5369 102.731380 20.546276 \n", - "11 39.4988 96.995184 19.399037 \n", - "12 39.5460 101.944193 20.388839 " - ] - }, - "execution_count": 61, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "import numpy as np\n", - "from obspy.geodetics import gps2dist_azimuth\n", - "\n", - "# ---------------------------------------------------------\n", - "# 1. Select stations that passed quality control\n", - "# ---------------------------------------------------------\n", - "st_df_flt = (\n", - " st_df.loc[st_df[\"qc_test\"]]\n", - " .copy()\n", - " .reset_index(drop=True)\n", - ")\n", - "\n", - "# Convert the existing relative arrival times to an array\n", - "observed_relative_time = np.asarray(t_rel, dtype=float)\n", - "\n", - "# Confirm that station and arrival-time arrays are aligned\n", - "if len(st_df_flt) != len(observed_relative_time):\n", - " raise ValueError(\n", - " \"The number of QC-passed stations does not match the number of relative arrival times in t_rel.\"\n", - " )\n", - "\n", - "# ---------------------------------------------------------\n", - "# 2. Read earthquake information\n", - "# ---------------------------------------------------------\n", - "event_lat = event_selection[\"event_latitude\"]\n", - "event_lon = event_selection[\"event_longitude\"]\n", - "event_depth_km = event_selection[\"event_depth\"]\n", - "\n", - "# Constant P-wave velocity used for the simplified model\n", - "vp_km_s = 5.0\n", - "\n", - "# ---------------------------------------------------------\n", - "# 3. Calculate horizontal source-station distances\n", - "# ---------------------------------------------------------\n", - "horizontal_distance_km = []\n", - "\n", - "for station_lat, station_lon in zip(st_df_flt[\"latitude\"],st_df_flt[\"longitude\"]\n", - "):\n", - " distance_m, _, _ = gps2dist_azimuth(event_lat, event_lon, station_lat, station_lon)\n", - "\n", - " horizontal_distance_km.append(distance_m / 1000.0)\n", - "\n", - "horizontal_distance_km = np.asarray(horizontal_distance_km, dtype=float)\n", - "\n", - "# ---------------------------------------------------------\n", - "# 4. Calculate vertical source-station separation\n", - "# ---------------------------------------------------------\n", - "# Event depth is positive downward.\n", - "# Station elevation is positive upward.\n", - "#\n", - "# Therefore, a station above sea level is slightly farther\n", - "# vertically from the hypocenter.\n", - "\n", - "station_elevation_km = (st_df_flt[\"elevation\"].to_numpy(dtype=float) / 1000.0)\n", - "\n", - "vertical_distance_km = (event_depth_km + station_elevation_km)\n", - "\n", - "# ---------------------------------------------------------\n", - "# 5. Calculate approximate hypocentral distance\n", - "# ---------------------------------------------------------\n", - "hypocentral_distance_km = np.sqrt(horizontal_distance_km**2 + vertical_distance_km**2)\n", - "\n", - "# ---------------------------------------------------------\n", - "# 6. Predict P-wave travel time\n", - "# ---------------------------------------------------------\n", - "predicted_travel_time = (hypocentral_distance_km / vp_km_s)\n", - "\n", - "# Add calculated quantities to the station dataframe\n", - "st_df_flt[\"horizontal_distance_km\"] = horizontal_distance_km\n", - "st_df_flt[\"vertical_distance_km\"] = vertical_distance_km\n", - "st_df_flt[\"hypocentral_distance_km\"] = hypocentral_distance_km\n", - "st_df_flt[\"predicted_travel_time_s\"] = predicted_travel_time\n", - "st_df_flt" - ] - }, - { - "cell_type": "markdown", - "id": "8b994221", - "metadata": {}, - "source": [ - "#### **Converting the Predictions to Relative Arrival Times**\n", - "\n", - "The previously calculated values in `t_rel` are relative arrival times. Their average is approximately zero because the inversion used a zero-mean constraint.\n", - "\n", - "The absolute predicted travel times cannot be subtracted directly from these relative observations. First, the predicted times must be placed on the same relative reference:\n", - "\n", - "$$t_{\\mathrm{pred,rel},i} = t_{\\mathrm{pred},i} - \\overline{t_{\\mathrm{pred}}}$$\n", - "\n", - "The distance-corrected residual is then:\n", - "\n", - "$$\\delta t_i = t_{\\mathrm{obs,rel},i} - t_{\\mathrm{pred,rel},i}$$\n", - "\n", - "where:\n", - "\n", - "- $\\delta t_i > 0$ indicates that the P wave arrived later than expected for the assumed 5 km/s velocity.\n", - "- $\\delta t_i < 0$ indicates that the P wave arrived earlier than expected.\n", - "- $\\delta t_i \\approx 0$ indicates that the observed arrival is close to the constant-velocity prediction.\n", - "\n", - "These residuals reduce the first-order influence of source–station distance and allow us to more clearly examine spatial variations associated with the travel path." - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "id": "60ae56d7", - "metadata": {}, - "outputs": [ - { - "data": { - "text/html": [ - "
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networkstationhorizontal_distance_kmhypocentral_distance_kmpredicted_travel_time_sobserved_relative_time_spredicted_relative_time_stravel_time_residual_s
0USNLWA42.71858.56311.713-4.828-6.3491.521
1UWBILS55.77368.33313.667-3.123-4.3951.272
2UWBLN54.51167.62513.525-3.323-4.5371.214
3UWHURR29.09750.29610.059-6.083-8.0031.920
4UWLWCK163.831168.52133.7049.95715.642-5.685
5UWMAC92.771100.84320.1692.1272.1070.020
6UWOOW246.79361.66512.333-4.043-5.7291.686
7UWQCMM91.920100.05220.0100.8271.948-1.121
8UWQFRZ89.15497.50319.5011.3121.439-0.127
9UWQOCL90.74898.96119.7921.1271.730-0.603
10UWQSKT94.819102.73120.5462.2472.484-0.237
11UWQTNB88.58896.99519.3991.5971.3370.260
12UWUPL93.961101.94420.3892.2072.327-0.120
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" - ], - "text/plain": [ - " network station horizontal_distance_km hypocentral_distance_km \\\n", - "0 US NLWA 42.718 58.563 \n", - "1 UW BILS 55.773 68.333 \n", - "2 UW BLN 54.511 67.625 \n", - "3 UW HURR 29.097 50.296 \n", - "4 UW LWCK 163.831 168.521 \n", - "5 UW MAC 92.771 100.843 \n", - "6 UW OOW2 46.793 61.665 \n", - "7 UW QCMM 91.920 100.052 \n", - "8 UW QFRZ 89.154 97.503 \n", - "9 UW QOCL 90.748 98.961 \n", - "10 UW QSKT 94.819 102.731 \n", - "11 UW QTNB 88.588 96.995 \n", - "12 UW UPL 93.961 101.944 \n", - "\n", - " predicted_travel_time_s observed_relative_time_s \\\n", - "0 11.713 -4.828 \n", - "1 13.667 -3.123 \n", - "2 13.525 -3.323 \n", - "3 10.059 -6.083 \n", - "4 33.704 9.957 \n", - "5 20.169 2.127 \n", - "6 12.333 -4.043 \n", - "7 20.010 0.827 \n", - "8 19.501 1.312 \n", - "9 19.792 1.127 \n", - "10 20.546 2.247 \n", - "11 19.399 1.597 \n", - "12 20.389 2.207 \n", - "\n", - " predicted_relative_time_s travel_time_residual_s \n", - "0 -6.349 1.521 \n", - "1 -4.395 1.272 \n", - "2 -4.537 1.214 \n", - "3 -8.003 1.920 \n", - "4 15.642 -5.685 \n", - "5 2.107 0.020 \n", - "6 -5.729 1.686 \n", - "7 1.948 -1.121 \n", - "8 1.439 -0.127 \n", - "9 1.730 -0.603 \n", - "10 2.484 -0.237 \n", - "11 1.337 0.260 \n", - "12 2.327 -0.120 " - ] - }, - "execution_count": 62, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - " # ---------------------------------------------------------\n", - "# 1. Ensure that the observed relative times have zero mean\n", - "# ---------------------------------------------------------\n", - "observed_relative_time = (observed_relative_time - np.mean(observed_relative_time))\n", - "\n", - "# ---------------------------------------------------------\n", - "# 2. Convert predicted travel times to relative times\n", - "# ---------------------------------------------------------\n", - "predicted_relative_time = (predicted_travel_time- np.mean(predicted_travel_time))\n", - "\n", - "# ---------------------------------------------------------\n", - "# 3. Calculate observed-minus-predicted residuals\n", - "# ---------------------------------------------------------\n", - "travel_time_residual = (observed_relative_time - predicted_relative_time)\n", - "\n", - "# Remove any very small numerical mean\n", - "travel_time_residual -= np.mean(travel_time_residual)\n", - "\n", - "# Store the results\n", - "st_df_flt[\"observed_relative_time_s\"] = observed_relative_time\n", - "st_df_flt[\"predicted_relative_time_s\"] = predicted_relative_time\n", - "st_df_flt[\"travel_time_residual_s\"] = travel_time_residual\n", - "\n", - "# Display the main results\n", - "result_columns = [\n", - " \"network\",\n", - " \"station\",\n", - " \"horizontal_distance_km\",\n", - " \"hypocentral_distance_km\",\n", - " \"predicted_travel_time_s\",\n", - " \"observed_relative_time_s\",\n", - " \"predicted_relative_time_s\",\n", - " \"travel_time_residual_s\"\n", - "]\n", - "\n", - "st_df_flt[result_columns].round(3)" - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "id": "f51f8e06", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "\n", - "distance_order = np.argsort(hypocentral_distance_km)\n", - "\n", - "fig, ax = plt.subplots(figsize=(7, 5))\n", - "\n", - "ax.scatter(\n", - " hypocentral_distance_km,\n", - " observed_relative_time,\n", - " s=65,\n", - " edgecolor=\"black\",\n", - " label=\"Observed relative P arrival\"\n", - ")\n", - "\n", - "ax.plot(\n", - " hypocentral_distance_km[distance_order],\n", - " predicted_relative_time[distance_order],\n", - " linewidth=2,\n", - " label=\"Predicted relative arrival, $V_P = 5$ km/s\"\n", - ")\n", - "\n", - "for distance, arrival, station in zip(\n", - " hypocentral_distance_km,\n", - " observed_relative_time,\n", - " st_df_flt[\"station\"]\n", - "):\n", - " ax.annotate(\n", - " station,\n", - " (distance, arrival),\n", - " xytext=(4, 4),\n", - " textcoords=\"offset points\",\n", - " fontsize=8\n", - " )\n", - "\n", - "ax.axhline(\n", - " 0,\n", - " linewidth=0.8,\n", - " linestyle=\"--\"\n", - ")\n", - "\n", - "ax.set_xlabel(\"Hypocentral distance (km)\")\n", - "ax.set_ylabel(\"Relative P-arrival time (s)\")\n", - "ax.set_title(\"Observed and Predicted P-Wave Moveout\")\n", - "ax.grid(alpha=0.3)\n", - "ax.legend()\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "b2e91d3b", - "metadata": {}, - "source": [ - "#### **Mapping the Distance-Corrected P-Wave Residuals**\n", - "\n", - "The original map primarily showed relative arrival time. Consequently, stations farther from the earthquake tended to have more positive values, while stations close to the earthquake tended to have more negative values.\n", - "\n", - "The corrected map instead shows the difference between the observed relative arrival time and the arrival time predicted from hypocentral distance:\n", - "\n", - "$$\\delta t = t_{\\mathrm{obs,rel}} - t_{\\mathrm{pred,rel}}$$\n", - "\n", - "A positive residual means that the P wave arrived later than predicted by the constant 5 km/s model. This may be consistent with a greater proportion of the ray path traveling through relatively slow material, such as sedimentary basin deposits.\n", - "\n", - "A negative residual means that the P wave arrived earlier than predicted. This may be consistent with a greater proportion of the ray path traveling through relatively fast, consolidated crustal rocks.\n", - "\n", - "However, each residual represents the integrated effect of the entire earthquake-to-station ray path. It should not automatically be interpreted as the geology directly beneath the station." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "73e831ec", - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "import matplotlib.pyplot as plt\n", - "import cartopy.crs as ccrs\n", - "import cartopy.feature as cfeature\n", - "\n", - "from matplotlib.colors import TwoSlopeNorm\n", - "\n", - "event_lat = event_selection[\"event_latitude\"]\n", - "event_lon = event_selection[\"event_longitude\"]\n", - "\n", - "# Values to map\n", - "t_residual = st_df_flt[\"travel_time_residual_s\"].to_numpy()\n", - "\n", - "# Use a symmetric color scale around zero\n", - "max_absolute_residual = np.nanmax(np.abs(t_residual))\n", - "\n", - "norm = TwoSlopeNorm(vmin=-max_absolute_residual, vcenter=0.0, vmax=max_absolute_residual)\n", - "\n", - "fig = plt.figure(figsize=(7, 6))\n", - "\n", - "ax = fig.add_subplot(1,1,1,projection=ccrs.PlateCarree())\n", - "\n", - "# Map extent\n", - "min_lat, max_lat = 46.0, 48.5\n", - "min_lon, max_lon = -125.5, -122.5\n", - "\n", - "ax.set_extent(\n", - " [min_lon, max_lon, min_lat, max_lat], crs=ccrs.PlateCarree()\n", - ")\n", - "\n", - "# Geographic context\n", - "ax.add_feature(cfeature.LAND, facecolor=\"#f3f0ea\")\n", - "ax.add_feature(cfeature.OCEAN, facecolor=\"#dcebf2\")\n", - "ax.add_feature(cfeature.COASTLINE, linewidth=0.6)\n", - "ax.add_feature(cfeature.STATES, linestyle=\":\",linewidth=0.4)\n", - "\n", - "gridlines = ax.gridlines(draw_labels=True,linewidth=0.3,color=\"gray\",alpha=0.5)\n", - "\n", - "gridlines.top_labels = False\n", - "gridlines.right_labels = False\n", - "\n", - "# Plot earthquake\n", - "ax.scatter(event_lon, event_lat, marker=\"*\", s=170, color=\"navy\", edgecolor=\"black\", linewidth=0.5,\n", - " transform=ccrs.PlateCarree(), label=\"Earthquake\", zorder=6)\n", - "\n", - "# Plot station residuals\n", - "scatter = ax.scatter(st_df_flt[\"longitude\"], st_df_flt[\"latitude\"], c=t_residual,\n", - " cmap=\"RdBu_r\", norm=norm, marker=\"o\", s=65, edgecolor=\"black\", linewidth=0.7,\n", - " transform=ccrs.PlateCarree(), zorder=5)\n", - "\n", - "# Add station labels\n", - "for _, station in st_df_flt.iterrows():\n", - " ax.text(station[\"longitude\"] + 0.025, station[\"latitude\"] + 0.015, station[\"station\"],\n", - " fontsize=7, transform=ccrs.PlateCarree(), zorder=7)\n", - "\n", - "colorbar = fig.colorbar(scatter, ax=ax, pad=0.03, shrink=0.8)\n", - "\n", - "colorbar.set_label(\"Observed − predicted P-wave residual (s)\")\n", - "\n", - "ax.set_title(\n", - " \"Distance-Corrected P-Wave Travel-Time Residuals\\n\"\n", - " \"Constant $V_P = 5.0$ km/s\"\n", - ")\n", - "\n", - "ax.legend(loc=\"lower left\")\n", - "\n", - "plt.tight_layout()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "7745559e", - "metadata": {}, - "source": [ - "The crude interpretation of delay map plot: \n", - "- The stations with negetive travel time residuals should have Vp lower than 5\n", - "- The stations with zero travel time residuals should have Vp similar to 5\n", - "- The stations with positive travel time residuals should have Vp higher to 5" - ] - }, - { - "cell_type": "markdown", - "id": "9f2e7c6d", - "metadata": {}, - "source": [ - "## **2. Output comparison**" - ] - }, - { - "cell_type": "markdown", - "id": "5b4c8ece", - "metadata": {}, - "source": [ - "#### **2.1 Modify processing parameters**" - ] - }, - { - "cell_type": "markdown", - "id": "ba0a7e6c", - "metadata": {}, - "source": [ - "Recipe A: default filter from Notebook 2\n", - "\n", - "Recipe B: narrower bandpass\n", - "\n", - "Recipe C: wider bandpass or different frequency band\n", - "\n", - "For each recipe, rerun:\n", - "filtering → picking → SNR → cross-correlation → delay-time plot" - ] - }, - { - "cell_type": "markdown", - "id": "b92645da", - "metadata": {}, - "source": [ - "#### **2.2 Compare results**" - ] - }, - { - "cell_type": "markdown", - "id": "0cae76e1", - "metadata": {}, - "source": [ - "Suggested comparison table:\n", - "\n", - "| Processing recipe | Stations kept | Median P SNR | Median P probability | Median correlation | Notes |\n", - "| :---------------: | :-----------: | :----------: | :------------------: | :----------------: | :---: |\n", - "| Default filter ||||||\n", - "| Narrower Bandpass ||||||\n", - "| Wider Bandpass ||||||" - ] - }, - { - "cell_type": "markdown", - "id": "049d4b54", - "metadata": {}, - "source": [ - "#### **2.3 Decide which waveforms are acceptable**" - ] - }, - { - "cell_type": "markdown", - "id": "5e4b307a", - "metadata": {}, - "source": [ - "Purpose: Formalize final QC and dataset refinement" - ] - }, - { - "cell_type": "markdown", - "id": "8eda0f7f", - "metadata": {}, - "source": [ - "## **Reflection**" - ] - }, - { - "cell_type": "markdown", - "id": "8f50864d", - "metadata": {}, - "source": [ - "In a local traditional workflow, changing the event, station list, time window, or filter band may require repeated downloads, repeated local file management, and repeated processing. That slows down the exploratory part of seismic science.\n", - "\n", - "In GeoLab, the workflow is easier to iterate. We can stream or retrieve selected waveform windows, apply a processing recipe, compare outputs, revise parameters, and update the station list in the same environment. This makes the scientific workflow more flexible: instead of committing too early to a fixed downloaded dataset, we can use metadata, waveform QC, and scientific outputs together to decide which data are useful." - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "language": "python", - "name": "python3" - }, - "language_info": { - "codemirror_mode": { - "name": "ipython", - "version": 3 - }, - "file_extension": ".py", - "mimetype": "text/x-python", - "name": "python", - "nbconvert_exporter": "python", - "pygments_lexer": "ipython3", - "version": "3.11.10" - } - }, - "nbformat": 4, - "nbformat_minor": 5 -} diff --git a/tutorials/MVP1-SAGE/event_catalog.xml b/tutorials/MVP1-SAGE/event_catalog.xml deleted file mode 100644 index e10a9de..0000000 --- a/tutorials/MVP1-SAGE/event_catalog.xml +++ /dev/null @@ -1,602 +0,0 @@ - - - - - 2026-07-08T20:32:51.000000Z - - - quakeml:earthquake.usgs.gov/product/origin/uw61977871/uw/1703445058650 - quakeml:earthquake.usgs.gov/product/origin/uw61977871/uw/1703445058650#magnitude - earthquake - - 6 km W of Quilcene, Washington - earthquake name - - - uw - 2025-03-06T00:27:44.313000Z - 6 - - - - - 47.819666666667 - - - -122.96 - - - 52390.0 - 510.0 - - - 222 - 132 - 0.33 - 20.0 - 0.03345 - - manual - - UW - 2023-12-24T19:10:58.650000Z - 6 - - - horizontal uncertainty - 290.0 - - - - - 4.04 - 0.18516388988711 - - ml - quakeml:earthquake.usgs.gov/product/origin/uw61977871/uw/1703445058650 - 104 - manual - - UW - 2023-12-24T19:10:58.650000Z - - - - - quakeml:earthquake.usgs.gov/product/origin/uw61965081/uw/1764984309820 - quakeml:earthquake.usgs.gov/product/origin/uw61965081/uw/1764984309820#magnitude - earthquake - - Port Townsend, WA - earthquake name - - - uw - 2025-12-06T01:25:09.820000Z - 8 - - - - - 48.040166666667 - - - -122.73083333333 - - - 54940.0 - 360.0 - - - 190 - 148 - 0.2 - 26.0 - 0.04468 - - manual - - UW - 2025-12-06T01:25:09.820000Z - 8 - - - horizontal uncertainty - 230.0 - - - - - 4.31 - 0.16202366566837 - - ml - quakeml:earthquake.usgs.gov/product/origin/uw61965081/uw/1764984309820 - 290 - manual - - UW - 2025-12-06T01:25:09.820000Z - - - - - quakeml:earthquake.usgs.gov/product/origin/uw61504942/uw/1742677739270 - quakeml:earthquake.usgs.gov/product/origin/uw61504942/uw/1742677739270#magnitude - earthquake - - 38 km NE of Amanda Park, Washington - earthquake name - - - uw - 2025-03-22T21:08:59.270000Z - 8 - - - - - 47.711333333333 - - - -123.55416666667 - - - 39420.0 - 300.0 - - - 89 - 72 - 0.31 - 34.0 - - manual - - UW - 2025-03-22T21:08:59.270000Z - 8 - - - horizontal uncertainty - 360.0 - - - - - 4.08 - 0.16330886048472 - - ml - quakeml:earthquake.usgs.gov/product/origin/uw61504942/uw/1742677739270 - 51 - manual - - UW - 2025-03-22T21:08:59.270000Z - - - - - quakeml:earthquake.usgs.gov/product/origin/uw61251926/uw/1487870991560 - quakeml:earthquake.usgs.gov/product/origin/uw61251926/uw/1487870991560#magnitude - earthquake - - 11 km NE of Hoodsport, Washington - earthquake name - - - uw - 2018-07-05T18:19:31.970000Z - 4 - - - - - 47.4801667 - - - -123.035 - - - 15440.0 - 590.0 - - - 71 - 58 - 0.25 - 34.0 - 0.1653 - - manual - - UW - 2017-02-23T17:29:51.560000Z - 4 - - - horizontal uncertainty - 300.0 - - - - - 4.09 - 0.184 - - ml - quakeml:earthquake.usgs.gov/product/origin/uw61251926/uw/1487870991560 - 47 - manual - - UW - 2017-02-23T17:29:51.560000Z - - - - - quakeml:earthquake.usgs.gov/product/origin/uw10763723/uw/1468449695800 - quakeml:earthquake.usgs.gov/product/origin/uw10763723/uw/1468449695800#magnitude - earthquake - - 6 km ESE of Lofall, Washington - earthquake name - - - uw - 2022-08-06T12:39:41.514000Z - 6 - - - - - 47.7865 - - - -122.5846667 - - - 62240.0 - 990.0 - - - 126 - 77 - 0.52 - 27.0 - 0.0526 - - manual - - UW - 2016-07-13T22:41:35.800000Z - 6 - - - horizontal uncertainty - 830.0 - - - - - 4.67 - 0.188 - - ml - quakeml:earthquake.usgs.gov/product/origin/uw10763723/uw/1468449695800 - 144 - manual - - UW - 2016-07-13T22:41:35.800000Z - - - - - quakeml:earthquake.usgs.gov/product/origin/uw10583988/uw/1469237945040 - quakeml:earthquake.usgs.gov/product/origin/uw10583988/uw/1469237945040#magnitude - earthquake - - 26 km W of Brinnon, Washington - earthquake name - - - uw - 2022-06-18T06:34:57.196000Z - 3 - - - - - 47.6705 - - - -123.25 - - - 50513.0 - 590.0 - - - 93 - 85 - 0.18 - 53.0 - - manual - - UW - 2016-07-23T01:39:05.040000Z - 3 - - - horizontal uncertainty - 347.0 - - - - - 4.8 - 0.04 - - md - quakeml:earthquake.usgs.gov/product/origin/uw10583988/uw/1469237945040 - 8 - manual - - UW - 2016-07-23T01:39:05.040000Z - - - - - quakeml:earthquake.usgs.gov/product/origin/uw10565603/uw/1469236588840 - quakeml:earthquake.usgs.gov/product/origin/uw10565603/uw/1469236588840#magnitude - earthquake - - 9 km SW of Friday Harbor, Washington - earthquake name - - - uw - 2022-06-18T05:36:11.909000Z - 3 - - - - - 48.4848333 - - - -123.1265 - - - 23118.0 - 1000.0 - - - 69 - 57 - 0.35 - 78.0 - - manual - - UW - 2016-07-23T01:16:28.840000Z - 3 - - - horizontal uncertainty - 672.0 - - - - - 4.1 - 0.04 - - md - quakeml:earthquake.usgs.gov/product/origin/uw10565603/uw/1469236588840 - 2 - manual - - UW - 2016-07-23T01:16:28.840000Z - - - - - quakeml:earthquake.usgs.gov/product/origin/uw10542258/uw/1469234543070 - quakeml:earthquake.usgs.gov/product/origin/uw10542258/uw/1469234543070#magnitude - earthquake - - 4 km WSW of DuPont, Washington - earthquake name - - - uw - 2022-06-18T03:53:55.601000Z - 3 - - - - - 47.0878333 - - - -122.6868333 - - - 52308.0 - 480.0 - - - 102 - 89 - 0.23 - 33.0 - - manual - - UW - 2016-07-23T00:42:23.070000Z - 3 - - - horizontal uncertainty - 71.0 - - - - - 4.3 - 0.03 - - md - quakeml:earthquake.usgs.gov/product/origin/uw10542258/uw/1469234543070 - 14 - manual - - UW - 2016-07-23T00:42:23.070000Z - - - - - quakeml:earthquake.usgs.gov/product/origin/uw10529683/uw/1469234195880 - quakeml:earthquake.usgs.gov/product/origin/uw10529683/uw/1469234195880#magnitude - earthquake - - 18 km N of Satsop, Washington - earthquake name - - - uw - 2022-06-18T03:34:30.574000Z - 3 - - - - - 47.1675 - - - -123.5025 - - - 40245.0 - 390.0 - - - 101 - 89 - 0.29 - 89.0 - - manual - - UW - 2016-07-23T00:36:35.880000Z - 3 - - - horizontal uncertainty - 489.0 - - - - - 5.0 - 0.03 - - md - quakeml:earthquake.usgs.gov/product/origin/uw10529683/uw/1469234195880 - 9 - manual - - UW - 2016-07-23T00:36:35.880000Z - - - - - quakeml:earthquake.usgs.gov/product/origin/uw10530748/uw/1469233837010 - quakeml:earthquake.usgs.gov/product/origin/uw10530748/uw/1469233837010#magnitude - earthquake - - 7 km SSE of Longbranch, Washington - earthquake name - - - uw - 2026-06-14T22:15:45.539000Z - 3 - - - - - 47.149 - - - -122.7266667 - - - 51798.0 - 920.0 - - - 66 - 67 - 0.2 - 31.0 - - manual - - UW - 2016-07-23T00:30:37.010000Z - 3 - - - horizontal uncertainty - 517.0 - - - - - 6.8 - 0.03 - - md - quakeml:earthquake.usgs.gov/product/origin/uw10530748/uw/1469233837010 - 0 - manual - - UW - 2016-07-23T00:30:37.010000Z - - - - - diff --git a/tutorials/MVP1-SAGE/event_selection.json b/tutorials/MVP1-SAGE/event_selection.json deleted file mode 100644 index b79cda8..0000000 --- a/tutorials/MVP1-SAGE/event_selection.json +++ /dev/null @@ -1,8 +0,0 @@ -{ - "event_time": "2018-11-19T11:09:13.130000Z", - "event_latitude": 47.711333333333, - "event_longitude": -123.55416666667, - "event_depth": 39.42, - "start_time": "2018-11-19T11:07:13.130000Z", - "end_time": "2018-11-19T11:17:13.130000Z" -} \ No newline at end of file diff --git a/tutorials/MVP1-SAGE/station_dataframe.csv b/tutorials/MVP1-SAGE/station_dataframe.csv deleted file mode 100644 index fb90e11..0000000 --- a/tutorials/MVP1-SAGE/station_dataframe.csv +++ /dev/null @@ -1,17 +0,0 @@ -network,station,start_date,latitude,longitude,elevation,channel,sample_rate,data_available -US,NLWA,2006-07-05T00:00:00.000000Z,47.3917,-123.8691,640.0,HNZ,200.0,True -UW,BILS,2015-03-30T00:00:00.000000Z,47.53966,-124.25138,62.0,HNZ,200.0,True -UW,BLN,1980-01-11T00:00:00.000000Z,48.006624,-122.972646,601.0,HNZ,200.0,True -UW,ERW,1997-12-01T00:00:00.000000Z,48.453827,-122.626121,387.0,HNZ,200.0,True -UW,HURR,2017-05-10T00:00:00.000000Z,47.97035,-123.49871,1605.0,HNZ,200.0,True -UW,LWCK,2015-01-29T00:00:00.000000Z,46.2778,-124.0536,60.4,HNZ,200.0,True -UW,MAC,2018-06-25T00:00:00.000000Z,47.2467,-122.5318,112.5,HNZ,200.0,True -UW,OOW2,2015-03-03T00:00:00.000000Z,47.74919,-124.17544,741.0,HNZ,200.0,True -UW,QCDG,2011-11-16T00:00:00.000000Z,48.10002,-122.58696,52.2,HNZ,200.0,True -UW,QCEN,2012-06-14T00:00:00.000000Z,46.71635,-122.9619,55.4,HNZ,200.0,True -UW,QCMM,2011-05-20T00:00:00.000000Z,47.28638,-122.50765,90.2,HNZ,200.0,True -UW,QFRZ,2010-09-28T00:00:00.000000Z,47.03468,-122.92066,56.4,HNZ,200.0,True -UW,QOCL,2010-09-02T00:00:00.000000Z,47.02649,-122.90044,53.3,HNZ,200.0,True -UW,QSKT,2011-05-24T00:00:00.000000Z,47.21344,-122.53312,116.9,HNZ,200.0,True -UW,QTNB,2010-09-01T00:00:00.000000Z,47.28922,-122.5569,78.8,HNZ,200.0,True -UW,UPL,2018-07-19T00:00:00.000000Z,47.214431,-122.546085,126.0,HNZ,200.0,True diff --git a/tutorials/MVP1-SAGE/station_dataframe_processed.csv b/tutorials/MVP1-SAGE/station_dataframe_processed.csv deleted file mode 100644 index f50a7b0..0000000 --- a/tutorials/MVP1-SAGE/station_dataframe_processed.csv +++ /dev/null @@ -1,17 +0,0 @@ -network,station,start_date,latitude,longitude,elevation,channel,sample_rate,data_available,gaps_detected,time_pick1,time_pick2,freqmin,freqmax,qc_test -US,NLWA,2006-07-05T00:00:00.000000Z,47.3917,-123.8691,640.0,HNZ,200.0,True,False,80.0,100.0,2.0,8.0,True -UW,BILS,2015-03-30T00:00:00.000000Z,47.53966,-124.25138,62.0,HNZ,200.0,True,False,127.0,145.0,2.0,10.0,True -UW,BLN,1980-01-11T00:00:00.000000Z,48.006624,-122.972646,601.0,HNZ,200.0,True,False,127.0,145.0,2.0,9.0,True -UW,ERW,1997-12-01T00:00:00.000000Z,48.453827,-122.626121,387.0,HNZ,200.0,True,False,135.0,160.0,2.0,9.0,False -UW,HURR,2017-05-10T00:00:00.000000Z,47.97035,-123.49871,1605.0,HNZ,200.0,True,False,125.0,140.0,0.5,10.0,True -UW,LWCK,2015-01-29T00:00:00.000000Z,46.2778,-124.0536,60.4,HNZ,200.0,True,False,140.0,175.0,4.0,10.0,True -UW,MAC,2018-06-25T00:00:00.000000Z,47.2467,-122.5318,112.5,HNZ,200.0,True,False,130.0,175.0,2.5,10.0,True -UW,OOW2,2015-03-03T00:00:00.000000Z,47.74919,-124.17544,741.0,HNZ,200.0,True,False,120.0,155.0,2.5,8.0,True -UW,QCDG,2011-11-16T00:00:00.000000Z,48.10002,-122.58696,52.2,HNZ,200.0,True,False,55.0,75.0,2.5,8.0,False -UW,QCEN,2012-06-14T00:00:00.000000Z,46.71635,-122.9619,55.4,HNZ,200.0,True,False,55.0,75.0,2.5,8.0,False -UW,QCMM,2011-05-20T00:00:00.000000Z,47.28638,-122.50765,90.2,HNZ,200.0,True,False,57.5,70.0,2.5,8.0,True -UW,QFRZ,2010-09-28T00:00:00.000000Z,47.03468,-122.92066,56.4,HNZ,200.0,True,False,55.5,70.0,2.5,10.0,True -UW,QOCL,2010-09-02T00:00:00.000000Z,47.02649,-122.90044,53.3,HNZ,200.0,True,False,55.5,70.0,2.5,7.5,True -UW,QSKT,2011-05-24T00:00:00.000000Z,47.21344,-122.53312,116.9,HNZ,200.0,True,False,55.5,70.0,2.0,10.0,True -UW,QTNB,2010-09-01T00:00:00.000000Z,47.28922,-122.5569,78.8,HNZ,200.0,True,False,55.5,70.0,2.0,10.0,True -UW,UPL,2018-07-19T00:00:00.000000Z,47.214431,-122.546085,126.0,HNZ,200.0,True,False,120.0,175.0,2.0,10.0,True diff --git a/tutorials/MVP1-SAGE/station_inventory.xml b/tutorials/MVP1-SAGE/station_inventory.xml deleted file mode 100644 index 0a20136..0000000 --- a/tutorials/MVP1-SAGE/station_inventory.xml +++ /dev/null @@ -1,52000 +0,0 @@ - - - EarthScope - EarthScope - EarthScope WEB SERVICE: fdsnws-station | version: 1.1.56 - https://service.earthscope.org/fdsnws/station/1/query?starttime=2018-11-19T11%3A07%3A13.130000&endtime=2018-11-19T11%3A17%3A13.130000&channel=HN%3F&minlatitude=46.0&maxlatitude=48.5&minlongitude=-125.5&maxlongitude=-122.5&level=response - 2026-07-08T20:32:59.197100Z - - Canadian National Seismograph Network (CNSN) - 10.7914/SN/CN - - - name begin_date end_date class scope agency comment -deployment -CSN Canadian Seismograph Network 1897-09-01 1995-12-13 network national GSC Photographic analog, Effective 1950 -REGI Regional Network 1939-12-19 network local GSC Analog; deployment ended but some sites still operating -ECTN Eastern Canada Telemetered Network 1974-02-24 1997-02-12 network local GSC Digital event data, trigger system, paper records -WCTN Western Canada Telemetered Network 1975-09-01 1997-03-14 network local PGC Digital not continious data, trigger, paper records -CNSMN Canadian National Strong Motion Network 1979-05-24 network national GSC -SLTN Sudbury Local Telemetered Network 1984-12-16 1993-06-16 network local GSC, CANMET Digital event data, closed -BCH British Columbia Hydro 1985-10-01 2018-02-15 network local UBC, GSC Analog data digitized at PGC -CLTN Charlevoix Telemetered Network 1987-10-30 1994-10-17 network local GSC Quebec, effective ... -CNSN Canadian National Seismograph Network 1992-02-28 network national GSC Digital continious data,1992 -HAITI Haiti weak and strong motion 2010-02-11 deployment field GSC Response to Haiti Mw 7.0 earthquake of 12 January 2010 - 2025-01-10T00:00:00.000000Z - - 302 - 1 - - 48.4131 - -123.3251 - 67.0 - - Victoria Gonzales, BC, CA - - 1994-07-21T00:00:00.000000Z - 19 - 3 - - 48.4131 - -123.3251 - 67.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - 100.0 - 0.0001 - - V - emf in volts - - - Nanometrics Titan 4g/Taurus Standard 47k - - - - 203985.0 - 0.02 - - m/s**2 - acceleration in meters per seconds squared - - - counts - digital counts - - - - - - m/s**2 - acceleration in meters per seconds squared - - - V - emf in volts - - LAPLACE (RADIANS/SECOND) - 1.00777e+18 - 0.02 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.509963 - 0.02 - - - - - - V - emf in volts - - - counts - digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 0.02 - - - - - - counts - digital counts - - - counts - digital counts - - LAPLACE (RADIANS/SECOND) - 13338.9 - 0.02 - - -13338.9 - 0.0 - - - - 0.999999 - 0.02 - - - - - - counts - digital counts - - - counts - digital counts - - DIGITAL - -4.04791e-10 - -1.39029e-10 - 6.728e-10 - 2.75797e-09 - 7.54651e-09 - 1.76668e-08 - 3.76936e-08 - 7.52313e-08 - 1.42425e-07 - 2.57999e-07 - 4.49904e-07 - 7.58655e-07 - 1.24139e-06 - 1.97658e-06 - 3.06939e-06 - 4.65728e-06 - 6.91569e-06 - 1.00631e-05 - 1.43649e-05 - 2.0135e-05 - 2.77346e-05 - 3.75661e-05 - 5.00617e-05 - 6.56652e-05 - 8.48049e-05 - 0.000107859 - 0.000135108 - 0.000166685 - 0.000202505 - 0.0002422 - 0.000285038 - 0.00032985 - 0.000374956 - 0.000418099 - 0.0004564 - 0.000486339 - 0.000503757 - 0.000503913 - 0.00048158 - 0.000431195 - 0.000347068 - 0.000223655 - 5.58818e-05 - -0.000160476 - -0.000428365 - -0.000749008 - -0.00112143 - -0.00154201 - -0.00200406 - -0.00249746 - -0.00300841 - -0.00351925 - -0.00400852 - -0.00445107 - -0.00481847 - -0.00507953 - -0.00520107 - -0.00514889 - -0.00488884 - -0.00438813 - -0.00361664 - -0.0025484 - -0.00116293 - 0.00055335 - 0.00260595 - 0.00499129 - 0.00769592 - 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2.77346e-05 - 2.0135e-05 - 1.43649e-05 - 1.00631e-05 - 6.91569e-06 - 4.65728e-06 - 3.06939e-06 - 1.97658e-06 - 1.24139e-06 - 7.58655e-07 - 4.49904e-07 - 2.57999e-07 - 1.42425e-07 - 7.52313e-08 - 3.76936e-08 - 1.76668e-08 - 7.54651e-09 - 2.75797e-09 - 6.728e-10 - -1.39029e-10 - -4.04791e-10 - - - 30000.0 - 15 - 0 - 0.0027333 - 0.0027333 - - - 1.0 - 0.02 - - - - - - counts - digital counts - - - counts - digital counts - - DIGITAL - 8.46923e-10 - 2.27422e-09 - 4.53895e-09 - 6.87379e-09 - 7.10904e-09 - 7.62784e-10 - -1.98301e-08 - -6.60994e-08 - -1.53114e-07 - -2.98249e-07 - -5.18152e-07 - -8.23636e-07 - -1.21248e-06 - -1.66055e-06 - -2.11247e-06 - -2.47353e-06 - -2.60562e-06 - -2.33013e-06 - -1.44098e-06 - 2.69804e-07 - 2.97271e-06 - 6.74886e-06 - 1.15296e-05 - 1.70354e-05 - 2.27248e-05 - 2.7767e-05 - 3.10537e-05 - 3.1263e-05 - 2.69861e-05 - 1.69189e-05 - 1.11176e-07 - -2.37456e-05 - -5.40267e-05 - -8.89227e-05 - -0.000125282 - -0.000158604 - -0.000183236 - -0.000192798 - -0.000180864 - 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0.00515814 - 0.00628604 - 0.0066644 - 0.00638 - 0.00556632 - 0.00438414 - 0.0030025 - 0.00158157 - 0.000259011 - -0.000859463 - -0.00170503 - -0.00224631 - -0.00248619 - -0.00245579 - -0.00220662 - -0.00180202 - -0.00130887 - -0.000790361 - -0.000300369 - 0.000120161 - 0.000444926 - 0.000662123 - 0.000772858 - 0.000788512 - 0.000727547 - 0.000612198 - 0.000465422 - 0.000308386 - 0.000158665 - 2.91938e-05 - -7.2067e-05 - -0.00014185 - -0.000180864 - -0.000192798 - -0.000183236 - -0.000158604 - -0.000125282 - -8.89227e-05 - -5.40267e-05 - -2.37456e-05 - 1.11176e-07 - 1.69189e-05 - 2.69861e-05 - 3.1263e-05 - 3.10537e-05 - 2.7767e-05 - 2.27248e-05 - 1.70354e-05 - 1.15296e-05 - 6.74886e-06 - 2.97271e-06 - 2.69804e-07 - -1.44098e-06 - -2.33013e-06 - -2.60562e-06 - -2.47353e-06 - -2.11247e-06 - -1.66055e-06 - -1.21248e-06 - -8.23636e-07 - -5.18152e-07 - -2.98249e-07 - -1.53114e-07 - -6.60994e-08 - -1.98301e-08 - 7.62784e-10 - 7.10904e-09 - 6.87379e-09 - 4.53895e-09 - 2.27422e-09 - 8.46923e-10 - - - 2000.0 - 10 - 0 - 0.0465 - 0.0465 - - - 1.0 - 0.02 - - - - - - counts - digital counts - - - counts - digital counts - - DIGITAL - -2.4877e-10 - 4.73744e-09 - 1.24032e-08 - 2.18423e-09 - -2.9735e-08 - -2.7741e-08 - 4.8235e-08 - 9.04852e-08 - -4.3772e-08 - -2.02925e-07 - -2.93251e-08 - 3.57677e-07 - 2.38076e-07 - -5.05054e-07 - -6.56661e-07 - 5.29514e-07 - 1.33303e-06 - -2.35391e-07 - -2.23456e-06 - -6.43189e-07 - 3.17885e-06 - 2.39189e-06 - -3.76643e-06 - -5.21313e-06 - 3.34388e-06 - 9.06984e-06 - -1.0342e-06 - -1.34948e-05 - -4.1282e-06 - 1.74081e-05 - 1.29325e-05 - -1.90112e-05 - -2.55982e-05 - 1.58385e-05 - 4.12985e-05 - -5.05136e-06 - -5.76943e-05 - -1.59734e-05 - 7.06232e-05 - 4.87621e-05 - -7.41183e-05 - -9.2656e-05 - 6.09281e-05 - 0.000143704 - -2.36571e-05 - -0.000193818 - -4.34607e-05 - 0.000230529 - 0.0001423 - -0.000237697 - -0.00026842 - 0.00019742 - 0.000408986 - -9.32264e-05 - -0.000541667 - -8.56506e-05 - 0.000635146 - 0.000339424 - -0.000651794 - -0.000653162 - 0.000552734 - 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-5.05054e-07 - 2.38076e-07 - 3.57677e-07 - -2.93251e-08 - -2.02925e-07 - -4.3772e-08 - 9.04852e-08 - 4.8235e-08 - -2.7741e-08 - -2.9735e-08 - 2.18423e-09 - 1.24032e-08 - 4.73744e-09 - -2.4877e-10 - - - 200.0 - 2 - 0 - 0.555 - 0.555 - - - 1.0 - 0.02 - - - - - - 48.4131 - -123.3251 - 67.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - 100.0 - 0.0001 - - V - emf in volts - - - Nanometrics Titan 4g/Taurus Standard 47k - - - - 203985.0 - 0.02 - - m/s**2 - acceleration in meters per seconds squared - - - counts - digital counts - - - - - - m/s**2 - acceleration in meters per seconds squared - - - V - emf in volts - - LAPLACE (RADIANS/SECOND) - 1.00777e+18 - 0.02 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.509963 - 0.02 - - - - - - V - emf in volts - - - counts - digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 0.02 - - - - - - counts - digital counts - - - counts - digital counts - - LAPLACE (RADIANS/SECOND) - 13338.9 - 0.02 - - -13338.9 - 0.0 - - - - 0.999999 - 0.02 - - - - - - counts - digital counts - - - counts - digital counts - - DIGITAL - -4.04791e-10 - -1.39029e-10 - 6.728e-10 - 2.75797e-09 - 7.54651e-09 - 1.76668e-08 - 3.76936e-08 - 7.52313e-08 - 1.42425e-07 - 2.57999e-07 - 4.49904e-07 - 7.58655e-07 - 1.24139e-06 - 1.97658e-06 - 3.06939e-06 - 4.65728e-06 - 6.91569e-06 - 1.00631e-05 - 1.43649e-05 - 2.0135e-05 - 2.77346e-05 - 3.75661e-05 - 5.00617e-05 - 6.56652e-05 - 8.48049e-05 - 0.000107859 - 0.000135108 - 0.000166685 - 0.000202505 - 0.0002422 - 0.000285038 - 0.00032985 - 0.000374956 - 0.000418099 - 0.0004564 - 0.000486339 - 0.000503757 - 0.000503913 - 0.00048158 - 0.000431195 - 0.000347068 - 0.000223655 - 5.58818e-05 - -0.000160476 - -0.000428365 - -0.000749008 - -0.00112143 - -0.00154201 - -0.00200406 - -0.00249746 - -0.00300841 - -0.00351925 - -0.00400852 - -0.00445107 - -0.00481847 - -0.00507953 - -0.00520107 - -0.00514889 - -0.00488884 - 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-4.1282e-06 - -1.34948e-05 - -1.0342e-06 - 9.06984e-06 - 3.34388e-06 - -5.21313e-06 - -3.76643e-06 - 2.39189e-06 - 3.17885e-06 - -6.43189e-07 - -2.23456e-06 - -2.35391e-07 - 1.33303e-06 - 5.29514e-07 - -6.56661e-07 - -5.05054e-07 - 2.38076e-07 - 3.57677e-07 - -2.93251e-08 - -2.02925e-07 - -4.3772e-08 - 9.04852e-08 - 4.8235e-08 - -2.7741e-08 - -2.9735e-08 - 2.18423e-09 - 1.24032e-08 - 4.73744e-09 - -2.4877e-10 - - - 200.0 - 2 - 0 - 0.555 - 0.555 - - - 1.0 - 0.02 - - - - - - - - United States National Strong-Motion Network (NSMP) - 10.7914/SN/NP - - 1218 - 18 - - 47.13556 - -122.57578 - 80.0 - - American Lake VAMC - - 1972-10-04T18:00:00.000000Z - 18 - 3 - - 47.13556 - -122.57578 - 75.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.13556 - -122.57578 - 75.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.13556 - -122.57578 - 75.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - - 47.38557 - -123.6057 - 247.0 - - Wynoochee Dam - - 1974-02-08T18:00:00.000000Z - 12 - 3 - - 47.3833 - -123.6076 - 203.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.3833 - -123.6076 - 203.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.3833 - -123.6076 - 203.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - - 47.31964 - -122.58598 - 94.0 - - Gig Harbor Fire Station - - 1981-04-07T18:00:00.000000Z - 12 - 3 - - 47.31964 - -122.58598 - 94.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 419430.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - 47.31964 - -122.58598 - 94.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 419430.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - 47.31964 - -122.58598 - 94.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 419430.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - - 47.21402 - -123.10099 - 6.0 - - Shelton Fire Station - - 1981-06-19T18:00:00.000000Z - 26 - 3 - - 47.21402 - -123.10099 - 6.0 - 0.0 - 95.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - 47.21402 - -123.10099 - 6.0 - 0.0 - 5.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - 47.21402 - -123.10099 - 6.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - - 46.36623 - -122.55975 - 295.0 - - Toutle River Dam - - 1990-04-18T18:00:00.000000Z - 18 - 3 - - 46.36176 - -122.55227 - 300.0 - 0.0 - 145.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR-DECK-K2/ETNA,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 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-2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-11,Accelerometer,KINEMETRICS - - - - 856800.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 98656900.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1000.0 - 0.0 - - - - 0.255 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-11,Accelerometer,KINEMETRICS - - - - 856800.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 98656900.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1000.0 - 0.0 - - - - 0.255 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 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-0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-11,Accelerometer,KINEMETRICS - - - - 856800.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 98656900.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1000.0 - 0.0 - - - - 0.255 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-11,Accelerometer,KINEMETRICS - - - - 856800.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 98656900.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1000.0 - 0.0 - - - - 0.255 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-11,Accelerometer,KINEMETRICS - - - - 856800.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 98656900.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1000.0 - 0.0 - - - - 0.255 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-11,Accelerometer,KINEMETRICS - - - - 856800.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 98656900.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1000.0 - 0.0 - - - - 0.255 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-11,Accelerometer,KINEMETRICS - - - - 856800.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 98656900.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1000.0 - 0.0 - - - - 0.255 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-11,Accelerometer,KINEMETRICS - - - - 856800.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 98656900.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1000.0 - 0.0 - - - - 0.255 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 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0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.03737 - -122.89763 - 23.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-11,Accelerometer,KINEMETRICS - - - - 856800.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 98656900.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1000.0 - 0.0 - - - - 0.255 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - 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0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - - 47.91351 - -124.63432 - 5.0 - - La Push Coast Guard Sta - - 1998-03-15T18:00:00.000000Z - 18 - 3 - - 47.91351 - -124.63432 - 2.0 - 0.0 - 89.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 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-3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - - 48.13436 - -122.76521 - 18.0 - - Fort Worden State Park - - 1999-04-12T18:00:00.000000Z - 21 - 3 - - 48.13436 - -122.76521 - 17.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 48.13436 - -122.76521 - 17.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - 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-0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 48.13436 - -122.76521 - 17.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - - 46.97159 - -123.82637 - 4.0 - - Fire Station - - 1999-07-20T18:00:00.000000Z - 30 - 3 - - 46.97159 - -123.82637 - 5.0 - 0.0 - 104.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - 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- - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 46.97159 - -123.82637 - 5.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - - 46.98491 - -122.90996 - 60.0 - - Tumwater Fire Station HQ - - 2001-03-22T18:00:00.000000Z - 39 - 3 - - 46.98491 - -122.90996 - 60.0 - 0.0 - 87.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - 46.98491 - -122.90996 - 60.0 - 0.0 - 357.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - 46.98491 - -122.90996 - 60.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - - 47.4676 - -123.8466 - 68.0 - - Quinault Ranger Station - - 2000-07-31T18:00:00.000000Z - 9 - 3 - - 47.4676 - -123.8466 - 70.0 - 0.0 - 83.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.4676 - -123.8466 - 70.0 - 0.0 - 353.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.4676 - -123.8466 - 70.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - - 47.85586 - -122.58335 - 12.0 - - Museum - - 2000-12-14T18:00:00.000000Z - 21 - 3 - - 47.85586 - -122.58335 - 12.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - 47.85586 - -122.58335 - 12.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - 47.85586 - -122.58335 - 12.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - - 48.11517 - -123.43668 - 31.0 - - Fire Station - - 2000-12-15T18:00:00.000000Z - 24 - 3 - - 48.11517 - -123.43668 - 31.0 - 0.0 - 25.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 48.11517 - -123.43668 - 31.0 - 0.0 - 115.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 48.11517 - -123.43668 - 31.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - - 46.6855 - -123.73398 - 4.0 - - Fire Station - - 2002-02-06T18:00:00.000000Z - 15 - 3 - - 46.6855 - -123.73398 - 3.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 46.6855 - -123.73398 - 3.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 46.6855 - -123.73398 - 3.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 428400.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.1275 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.207e-05 - -9.632e-05 - -0.00022495 - -0.00042784 - -0.00066984 - -0.00084126 - -0.00074971 - -0.0001651 - 0.0010699 - 0.00288117 - 0.00481701 - 0.00601399 - 0.00536406 - 0.00191724 - -0.0045563 - -0.0130409 - -0.0210427 - -0.0248785 - -0.02055144 - -0.00504291 - 0.02237165 - 0.05928445 - 0.10020459 - 0.13763285 - 0.16392577 - 0.17339122 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - - 47.12012 - -122.56534 - 81.0 - - Camp Murray - - 2002-09-10T18:00:00.000000Z - 24 - 3 - - 47.12012 - -122.56534 - 81.0 - 0.0 - 85.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - 47.12012 - -122.56534 - 81.0 - 0.0 - 355.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - 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3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - 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- - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - - 47.5699 - -122.6305 - 10.0 - - New Fire Station 1 - - 2006-09-25T18:00:00.000000Z - 15 - 3 - - 47.5699 - -122.6305 - 10.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.5699 - -122.6305 - 10.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - 47.5699 - -122.6305 - 10.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 0.0 - - - - - - - 47.03872 - -122.89893 - 23.0 - - Centennial Park - - 2008-04-30T18:00:00.000000Z - 23 - 3 - - 47.03872 - -122.89893 - 23.0 - 0.0 - 83.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - 47.03872 - -122.89893 - 23.0 - 0.0 - 353.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - 47.03872 - -122.89893 - 23.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - EPISENSOR ES-T,Accelerometer,KINEMETRICS - - - - 214244.0 - 1.0 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 0.5099 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 420168.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 8.48248600959778e-06 - 3.89036722481251e-05 - 0.000109345652163029 - 0.000226936768740416 - 0.000365839805454016 - 0.000447943806648254 - 0.000346227083355188 - -7.08089210093021e-05 - -0.000851524528115988 - -0.00185801135376096 - -0.00270549720153212 - -0.0028127240948379 - -0.00160384178161621 - 0.00116656301543117 - 0.00508160842582584 - 0.00890325242653489 - 0.0107579724863172 - 0.00873374752700329 - 0.00177379045635462 - -0.00943683460354805 - -0.0219988967292011 - -0.0310883172787726 - -0.0311163761653006 - -0.0175222647376359 - 0.0113614085130394 - 0.0530733340419829 - 0.1009940803051 - 0.145714090205729 - 0.177481139078736 - 0.188974788878113 - - - 30000.0 - 5 - 0 - 0.00096667 - 0.00096667 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 4.13e-05 - 0.000235 - 0.000591 - 0.000653 - -0.000476 - -0.00295 - -0.00455 - -0.00124 - 0.00811 - 0.0164 - 0.0105 - -0.0155 - -0.0454 - -0.0428 - 0.0223 - 0.141 - 0.259 - 0.308 - - - 6000.0 - 3 - 0 - 0.0028333 - 0.0028333 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - -1.2572854757309e-08 - -1.05239450931549e-07 - -4.85219061374664e-07 - -1.62748619914055e-06 - -4.36278060078621e-06 - -9.75467264652252e-06 - -1.85249373316765e-05 - -2.98358500003815e-05 - -3.95434908568859e-05 - -3.85744497179985e-05 - -1.27600505948067e-05 - 5.41866756975651e-05 - 0.000173286534845829 - 0.000338890124112368 - 0.000516460742801428 - 0.000635812059044838 - 0.000597758684307337 - 0.000300498213618994 - -0.000314191915094852 - -0.0012050699442625 - -0.00218704482540488 - -0.00292611913755536 - -0.00299795856699347 - -0.00201740115880966 - 0.000182454939931631 - 0.00337499752640724 - 0.00684424582868814 - 0.00944234011694789 - 0.00984064722433686 - 0.00695226900279522 - 0.000429070089012385 - -0.00892353383824229 - -0.0189876179210842 - -0.0265589645132422 - -0.0279847355559468 - -0.0201029502786696 - -0.00124929891899228 - 0.027969223447144 - 0.0644083302468061 - 0.102780468761921 - 0.136673735454678 - 0.159965255763382 - 0.168261102866381 - - - 2000.0 - 5 - 0 - 0.021 - 0.021 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 2.88709998130798e-08 - 2.05356627702713e-07 - 6.20726495981217e-07 - 7.18515366315842e-07 - -1.38441100716591e-06 - -7.79749825596809e-06 - -1.69896520674229e-05 - -2.11047008633614e-05 - -1.16173177957535e-05 - 7.80308619141579e-06 - 1.77319161593914e-05 - 2.98768281936646e-06 - -2.14367173612118e-05 - -1.97170302271843e-05 - 1.55246816575527e-05 - 3.81991267204285e-05 - 4.4223852455616e-06 - -5.01745380461216e-05 - -3.89660708606243e-05 - 4.4223852455616e-05 - 8.12900252640247e-05 - -1.01537443697452e-05 - -0.000116444192826748 - -5.57675957679749e-05 - 0.00012338999658823 - 0.00014569191262126 - -8.04988667368889e-05 - -0.0002372981980443 - -2.6218593120575e-05 - 0.000295014120638371 - 0.000193928368389607 - -0.000276734121143818 - -0.000395854935050011 - 0.000145696103572846 - 0.000579331535845995 - 0.000114267691969871 - -0.000671905465424061 - -0.000484140124171972 - 0.000596339348703623 - 0.000900563318282366 - -0.000293050892651081 - -0.00125694600865245 - -0.000254197977483272 - 0.00141822174191475 - 0.000996164511889219 - -0.00124929659068584 - -0.00180700002238154 - 0.000653577037155628 - 0.0024908552877605 - 0.000385977793484926 - -0.00280996225774288 - -0.00177377322688699 - 0.00253296596929431 - 0.00328741781413555 - -0.00149676529690623 - -0.00459133228287101 - -0.000329872127622366 - 0.00528225628659129 - 0.00279595563188195 - -0.00496379099786282 - -0.00554609252139926 - 0.00333984289318323 - 0.00803791172802448 - -0.000310467556118965 - -0.00960330478847027 - -0.00394933857023716 - 0.0095487404614687 - 0.0089463428594172 - -0.00728014716878533 - -0.0138729992322624 - 0.00243060896173119 - 0.0176588729955256 - 0.00503426557406783 - -0.01905337581411 - -0.014757470227778 - 0.0166972321458161 - 0.0259951516054571 - -0.0090877590700984 - -0.0376894911751151 - -0.00581503426656127 - 0.0486034238710999 - 0.0323112579062581 - -0.0574957174248993 - -0.0859902668744326 - 0.0633078021928668 - 0.311378646176308 - 0.434671368915588 - - - 400.0 - 2 - 0 - 0.215 - 0.215 - - - 1.0 - 0.0 - - - - - - - 47.74357 - -122.72993 - 0.0 - - Naval Base Kitsap Bangor - - 2011-11-09T18:00:00.000000Z - 15 - 3 - - 47.74357 - -122.72993 - 0.0 - 0.0 - 94.4 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.0 - - A - Amperes - - - FBA-23,Accelerometer,KINEMETRICS - - - - 426720.0 - 0.15 - - M/S**2 - Acceleration in Meters Per Second Per Second - - - COUNTS - Digital Counts - - - - - - M/S**2 - Acceleration in Meters Per Second Per Second - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 147985000.0 - 0.15 - - -222.1 - -222.1 - - - -222.1 - 222.1 - - - -1500.0 - 0.0 - - - - 0.127 - 0.15 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - - - 2000.0 - 1 - 0 - 0.0 - 0.0 - - - 3360000.0 - 1.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 1.2e-07 - -6e-07 - -7.27e-06 - -3.278e-05 - -9.894e-05 - -0.00023174 - -0.00044167 - -0.00069332 - -0.00087345 - -0.0007838 - -0.00018537 - 0.00108707 - 0.00296128 - 0.0049758 - 0.00624192 - 0.00561416 - 0.00210238 - -0.00455022 - -0.0133232 - -0.0216756 - -0.0258368 - -0.0217012 - -0.00615335 - 0.0215797 - 0.0590637 - 0.100701 - 0.13883 - 0.165634 - 0.175286 - - - 2000.0 - 5 - 0 - 0.014 - 0.014 - - - 1.0 - 0.0 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - ODD - 6e-07 - 1.55e-06 - -2.26e-06 - -1.681e-05 - -3.362e-05 - -2.73e-05 - 1.156e-05 - 4.172e-05 - 9.78e-06 - -5.686e-05 - -5.186e-05 - 5.221e-05 - 0.00010896 - -1.156e-05 - -0.00016463 - -7.641e-05 - 0.00019097 - 0.00021076 - -0.00015306 - -0.00036979 - 1.884e-05 - 0.00050938 - 0.00022852 - -0.00056541 - -0.00057662 - 0.00046456 - 0.00097203 - -0.00014412 - -0.00131798 - -0.00042439 - 0.00148249 - 0.00121105 - -0.0013206 - -0.00210965 - 0.00070846 - 0.00293458 - 0.00041425 - -0.00343633 - -0.00200474 - 0.00333858 - 0.00388706 - -0.00239384 - -0.00574386 - 0.00045073 - 0.00713658 - 0.00248027 - -0.00755632 - -0.00617528 - 0.00650048 - 0.0101701 - -0.00356448 - -0.0137692 - -0.00146592 - 0.0160844 - 0.00854254 - -0.016091 - -0.0173173 - 0.0126604 - 0.0271523 - -0.00448489 - -0.0371805 - -0.0103546 - 0.046411 - 0.0361366 - -0.0538626 - -0.0885348 - 0.0587055 - 0.312242 - 0.439562 - - - 400.0 - 2 - 0 - 0.17 - 0.17 - - - 1.0 - 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0.02473738 - 0.03708165 - 0.0497507 - 0.06206696 - 0.07333685 - 0.08290152 - 0.0901866 - 0.09474635 - 0.09629848 - 0.09474635 - 0.0901866 - 0.08290152 - 0.07333685 - 0.06206696 - 0.0497507 - 0.03708165 - 0.02473738 - 0.01333183 - 0.003374886 - -0.004757783 - -0.01084255 - -0.01481246 - -0.01674898 - -0.01686256 - -0.01546425 - -0.01293168 - -0.009672703 - -0.006090065 - -0.002550179 - 0.0006416821 - 0.003258199 - 0.005158141 - 0.006286043 - 0.006664402 - 0.006380002 - 0.005566316 - 0.004384142 - 0.003002498 - 0.001581566 - 0.0002590112 - -0.0008594633 - -0.001705031 - -0.002246312 - -0.002486192 - -0.00245579 - -0.002206618 - -0.00180202 - -0.001308874 - -0.0007903605 - -0.0003003695 - 0.0001201614 - 0.000444926 - 0.000662123 - 0.0007728578 - 0.0007885116 - 0.0007275471 - 0.0006121983 - 0.0004654217 - 0.0003083858 - 0.0001586655 - 2.919376e-05 - -7.206699e-05 - -0.0001418502 - -0.0001808636 - -0.000192798 - -0.0001832359 - -0.0001586044 - -0.0001252819 - -8.892268e-05 - -5.402672e-05 - -2.374559e-05 - 1.111765e-07 - 1.691886e-05 - 2.698613e-05 - 3.126302e-05 - 3.105368e-05 - 2.776698e-05 - 2.272479e-05 - 1.703543e-05 - 1.152962e-05 - 6.748858e-06 - 2.972714e-06 - 2.698043e-07 - -1.44098e-06 - -2.330134e-06 - -2.605619e-06 - -2.473531e-06 - -2.112474e-06 - -1.660555e-06 - -1.212476e-06 - -8.236356e-07 - -5.181519e-07 - -2.982495e-07 - -1.531138e-07 - -6.609942e-08 - -1.98301e-08 - 7.627841e-10 - 7.10904e-09 - 6.873791e-09 - 4.538951e-09 - 2.27422e-09 - 8.46923e-10 - - - 2000.0 - 10 - 0 - 0.0465 - 0.0465 - - - 1.0 - 1.0 - - - - - - counts - Digital Counts - - - counts - Digital Counts - - DIGITAL - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - 0.3137774 - 0.05142858 - -0.09280869 - -0.04826485 - 0.04248361 - 0.04329151 - -0.01777635 - -0.03692219 - 0.002871719 - 0.0296694 - 0.00645106 - -0.02208895 - -0.01187359 - 0.01472206 - 0.01433728 - -0.008042475 - -0.01454758 - 0.002414871 - 0.01312888 - 0.001931064 - -0.01066029 - -0.00490895 - 0.007666904 - 0.00656694 - -0.004597381 - -0.00706464 - 0.001802538 - 0.006640171 - 0.0004775432 - -0.005572669 - -0.002114933 - 0.004145541 - 0.003083861 - -0.002615018 - -0.003441493 - 0.001187235 - 0.003302926 - -5.435981e-06 - -0.002814326 - -0.0008527391 - 0.002127841 - 0.001369316 - -0.00138119 - -0.001573808 - 0.0006836461 - 0.001527642 - -0.0001089867 - -0.00130802 - -0.000305133 - 0.0009935334 - 0.000552734 - -0.0006531623 - -0.0006517938 - 0.0003394235 - 0.0006351459 - -8.56506e-05 - -0.0005416667 - -9.322642e-05 - 0.0004089862 - 0.00019742 - -0.0002684195 - -0.0002376966 - 0.0001422997 - 0.0002305286 - -4.346068e-05 - -0.0001938177 - -2.365713e-05 - 0.0001437042 - 6.092806e-05 - -9.265601e-05 - -7.411825e-05 - 4.876212e-05 - 7.06232e-05 - -1.597343e-05 - -5.769434e-05 - -5.051362e-06 - 4.129854e-05 - 1.583847e-05 - -2.55982e-05 - -1.901116e-05 - 1.293247e-05 - 1.740814e-05 - -4.128203e-06 - -1.349476e-05 - -1.034203e-06 - 9.069842e-06 - 3.343879e-06 - -5.213131e-06 - -3.766426e-06 - 2.391894e-06 - 3.178848e-06 - -6.431887e-07 - -2.234558e-06 - -2.353909e-07 - 1.333027e-06 - 5.295136e-07 - -6.566606e-07 - -5.050541e-07 - 2.380756e-07 - 3.576771e-07 - -2.93251e-08 - -2.029251e-07 - -4.377202e-08 - 9.04852e-08 - 4.823501e-08 - -2.774098e-08 - -2.973504e-08 - 2.18423e-09 - 1.240319e-08 - 4.73744e-09 - -2.487704e-10 - - - 200.0 - 2 - 0 - 0.555 - 0.555 - - - 1.0 - 1.0 - - - - - - - - United States National Seismic Network (USNSN) - 10.7914/SN/US - - 84 - 1 - - 47.3917 - -123.8691 - 640.0 - - Neilton Lookout, Washington, USA - - 2006-07-05T00:00:00.000000Z - 90 - 3 - - - Episensor reorientation - 2018-06-05T17:00:00.000000Z - - - [SENSOR::EPISENSOR ES-T::4161], [SENSOR::STS-2::80441], [LOGGER::Q330::1253] - 2018-06-05T17:00:00.000000Z - - 47.3917 - -123.8691 - 640.0 - 0.0 - 0.0 - 0.0 - TRIGGERED - GEOPHYSICAL - 200.0 - - KINEMETRICS - Accelerometer - KINEMETRICS - EPISENSOR ES-T - 4161 - - - QUANTERRA - QUANTERRA - Q330 - 1253 - - - - 213956.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 200.0 - 1 - 0 - 0.0 - 0.0 - - - 0.50985 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 200.0 - 1 - 0 - 0.0 - 0.0 - - - 419430.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - NONE - 1.75091e-09 - 0.000192664 - 0.00182911 - -0.00019043 - -0.00520612 - 0.0034918 - -0.00400027 - -0.00126164 - 0.00762364 - -0.0162003 - 0.021477 - -0.0203537 - 0.008034 - 0.0169339 - -0.0540392 - 0.0993621 - -0.148949 - 0.209459 - 0.835881 - 0.113934 - -0.119634 - 0.095821 - -0.0623287 - 0.0289866 - -0.00281723 - -0.0132018 - 0.0184771 - -0.0164801 - 0.00964629 - -0.0036507 - -0.00226389 - 0.00261454 - -0.0052992 - 0.000480609 - 0.00163137 - - - 200.0 - 1 - 0 - 0.09 - 0.09 - - - 1.0 - 0.0 - - - - - - - Episensor reorientation - 2018-06-05T17:00:00.000000Z - - - [SENSOR::EPISENSOR ES-T::4161], [SENSOR::STS-2::80441], [LOGGER::Q330::1253] - 2018-06-05T17:00:00.000000Z - - 47.3917 - -123.8691 - 640.0 - 0.0 - 90.0 - 0.0 - TRIGGERED - GEOPHYSICAL - 200.0 - - KINEMETRICS - Accelerometer - KINEMETRICS - EPISENSOR ES-T - 4161 - - - QUANTERRA - QUANTERRA - Q330 - 1253 - - - - 213956.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 200.0 - 1 - 0 - 0.0 - 0.0 - - - 0.50985 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 200.0 - 1 - 0 - 0.0 - 0.0 - - - 419430.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - NONE - 1.75091e-09 - 0.000192664 - 0.00182911 - -0.00019043 - -0.00520612 - 0.0034918 - -0.00400027 - -0.00126164 - 0.00762364 - -0.0162003 - 0.021477 - -0.0203537 - 0.008034 - 0.0169339 - -0.0540392 - 0.0993621 - -0.148949 - 0.209459 - 0.835881 - 0.113934 - -0.119634 - 0.095821 - -0.0623287 - 0.0289866 - -0.00281723 - -0.0132018 - 0.0184771 - -0.0164801 - 0.00964629 - -0.0036507 - -0.00226389 - 0.00261454 - -0.0052992 - 0.000480609 - 0.00163137 - - - 200.0 - 1 - 0 - 0.09 - 0.09 - - - 1.0 - 0.0 - - - - - - - Episensor reorientation - 2018-06-05T17:00:00.000000Z - - - [SENSOR::EPISENSOR ES-T::4161], [SENSOR::STS-2::80441], [LOGGER::Q330::1253] - 2018-06-05T17:00:00.000000Z - - 47.3917 - -123.8691 - 640.0 - 0.0 - 0.0 - -90.0 - TRIGGERED - GEOPHYSICAL - 200.0 - - KINEMETRICS - Accelerometer - KINEMETRICS - EPISENSOR ES-T - 4161 - - - QUANTERRA - QUANTERRA - Q330 - 1253 - - - - 213956.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 24595700000000.0 - 1.0 - - -981.0 - -1009.0 - - - -981.0 - 1009.0 - - - -3290.0 - -1263.0 - - - -3290.0 - 1263.0 - - - - 200.0 - 1 - 0 - 0.0 - 0.0 - - - 0.50985 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 200.0 - 1 - 0 - 0.0 - 0.0 - - - 419430.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - NONE - 1.75091e-09 - 0.000192664 - 0.00182911 - -0.00019043 - -0.00520612 - 0.0034918 - -0.00400027 - -0.00126164 - 0.00762364 - -0.0162003 - 0.021477 - -0.0203537 - 0.008034 - 0.0169339 - -0.0540392 - 0.0993621 - -0.148949 - 0.209459 - 0.835881 - 0.113934 - -0.119634 - 0.095821 - -0.0623287 - 0.0289866 - -0.00281723 - -0.0132018 - 0.0184771 - -0.0164801 - 0.00964629 - -0.0036507 - -0.00226389 - 0.00261454 - -0.0052992 - 0.000480609 - 0.00163137 - - - 200.0 - 1 - 0 - 0.09 - 0.09 - - - 1.0 - 0.0 - - - - - - - - Pacific Northwest Seismic Network (PNSN) - 10.7914/SN/UW - - 898 - 25 - - 47.53966 - -124.25138 - 62.0 - - Queets, WA, USA - - 2015-03-30T00:00:00.000000Z - 23 - 3 - - - [SENSOR::TITAN::314], [LOGGER::TITAN SMA::314] - 2015-04-15T00:00:00.000000Z - 2020-08-05T21:41:24.000000Z - - 47.53966 - -124.25138 - 62.0 - 0.0 - 80.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::314], [LOGGER::TITAN SMA::314] - 2015-04-15T00:00:00.000000Z - 2020-08-05T21:41:24.000000Z - - 47.53966 - -124.25138 - 62.0 - 0.0 - 350.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::314], [LOGGER::TITAN SMA::314] - 2015-04-15T00:00:00.000000Z - 2020-08-05T21:41:24.000000Z - - 47.53966 - -124.25138 - 62.0 - 0.0 - 0.0 - -90.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - 48.006624 - -122.972646 - 601.0 - - Blyn Mt., WA, USA - - 1980-01-11T00:00:00.000000Z - 52 - 3 - - - [SENSOR::TITAN::321], [LOGGER::TITAN SMA::321] - 2018-05-04T20:00:00.000000Z - 2020-08-05T00:00:00.000000Z - - 48.006624 - -122.972646 - 601.0 - 0.0 - 90.0 - 0.0 - CONTINUOUS - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::321], [LOGGER::TITAN SMA::321] - 2018-05-04T20:00:00.000000Z - 2020-08-05T00:00:00.000000Z - - 48.006624 - -122.972646 - 601.0 - 0.0 - 0.0 - 0.0 - CONTINUOUS - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::321], [LOGGER::TITAN SMA::321] - 2018-05-04T20:00:00.000000Z - 2020-08-05T00:00:00.000000Z - - 48.006624 - -122.972646 - 601.0 - 0.0 - 0.0 - -90.0 - CONTINUOUS - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - 46.925789 - -123.916045 - 46.1 - - Aberdeen, WA, USA - - 2015-08-04T00:00:00.000000Z - 26 - 3 - - - [SENSOR::TITAN::315], [LOGGER::TITAN SMA::315] - 2015-08-04T00:00:00.000000Z - 2020-09-09T00:00:00.000000Z - - 46.925789 - -123.916045 - 46.0 - 0.0 - 90.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::315], [LOGGER::TITAN SMA::315] - 2015-08-04T00:00:00.000000Z - 2020-09-09T00:00:00.000000Z - - 46.925789 - -123.916045 - 46.0 - 0.0 - 0.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::315], [LOGGER::TITAN SMA::315] - 2015-08-04T00:00:00.000000Z - 2020-09-09T00:00:00.000000Z - - 46.925789 - -123.916045 - 46.0 - 0.0 - 0.0 - -90.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - 48.453827 - -122.626121 - 387.0 - - Mt. Erie, WA, USA - USA - - 1997-12-01T00:00:00.000000Z - 32 - 3 - - - [SENSOR::TITAN::479], [LOGGER::TITAN SMA::479] - 2017-03-01T00:00:00.000000Z - 2020-09-22T17:20:46.000000Z - - - ShakeAlert Upgrade - 2017-03-01T00:00:00.000000Z - 2020-09-22T17:20:46.000000Z - - 48.453827 - -122.626121 - 387.0 - 0.0 - 90.0 - 0.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - TITAN - 479 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 479 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - [SENSOR::TITAN::479], [LOGGER::TITAN SMA::479] - 2017-03-01T00:00:00.000000Z - 2020-09-22T17:20:46.000000Z - - - ShakeAlert Upgrade - 2017-03-01T00:00:00.000000Z - 2020-09-22T17:20:46.000000Z - - 48.453827 - -122.626121 - 387.0 - 0.0 - 0.0 - 0.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - TITAN - 479 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 479 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - ShakeAlert Upgrade - 2017-03-01T00:00:00.000000Z - 2020-09-22T17:20:46.000000Z - - - [SENSOR::TITAN::479], [LOGGER::TITAN SMA::479] - 2017-03-01T00:00:00.000000Z - 2020-09-22T17:20:46.000000Z - - 48.453827 - -122.626121 - 387.0 - 0.0 - 0.0 - -90.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - TITAN - 479 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 479 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - 47.97035 - -123.49871 - 1605.0 - - Hurricane Ridge, WA, USA - Multi-use shed - Port Angeles - Clallam - Washington - United States - - 2017-05-10T00:00:00.000000Z - 23 - 3 - - - [LOGGER::TITAN SMA::514], [SENSOR::TITAN::514] - 2017-11-06T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - - Titan s/n 537 DEAD - 2017-11-06T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.97035 - -123.49871 - 1605.0 - 0.0 - 90.0 - 0.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - TITAN - 514 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 514 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - Titan s/n 537 DEAD - 2017-11-06T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - - [LOGGER::TITAN SMA::514], [SENSOR::TITAN::514] - 2017-11-06T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.97035 - -123.49871 - 1605.0 - 0.0 - 0.0 - 0.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - TITAN - 514 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 514 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - [LOGGER::TITAN SMA::514], [SENSOR::TITAN::514] - 2017-11-06T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - - Titan s/n 537 DEAD - 2017-11-06T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.97035 - -123.49871 - 1605.0 - 0.0 - 0.0 - -90.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - TITAN - 514 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 514 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - 46.2778 - -124.0536 - 60.4 - - Lewis and Clark Interpretive Center, WA, USA - - 2015-01-29T00:00:00.000000Z - 54 - 3 - - - [SENSOR::TITAN::300], [LOGGER::TITAN SMA::300] - 2015-01-29T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 46.2778 - -124.0536 - 60.4 - 0.0 - 90.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::300], [LOGGER::TITAN SMA::300] - 2015-01-29T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 46.2778 - -124.0536 - 60.4 - 0.0 - 0.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::300], [LOGGER::TITAN SMA::300] - 2015-01-29T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 46.2778 - -124.0536 - 60.4 - 0.0 - 0.0 - -90.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - 47.2467 - -122.5318 - 112.5 - - Tacoma, WA, USA - - 2018-06-25T00:00:00.000000Z - 20 - 3 - - - [SENSOR::TITAN::515], [LOGGER::TITAN SMA::515] - 2018-06-25T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.2467 - -122.5318 - 112.5 - 0.0 - 87.9 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::515], [LOGGER::TITAN SMA::515] - 2018-06-25T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.2467 - -122.5318 - 112.5 - 0.0 - 357.9 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::515], [LOGGER::TITAN SMA::515] - 2018-06-25T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.2467 - -122.5318 - 112.5 - 0.0 - 0.0 - -90.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - 48.3707 - -124.5891 - 18.0 - - Makah Indian Reservation, WA, USA - Makah Forestry building - Neah Bay - Clallam - Washington - United States - - 2015-09-03T00:00:00.000000Z - 20 - 3 - - - [SENSOR::TITAN::318], [LOGGER::TITAN SMA::318] - 2015-09-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - - Installation at MKAH - 2015-09-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 48.3707 - -124.5891 - 18.0 - 0.0 - 90.0 - 0.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - TITAN - 318 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 318 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - [SENSOR::TITAN::318], [LOGGER::TITAN SMA::318] - 2015-09-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - - Installation at MKAH - 2015-09-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 48.3707 - -124.5891 - 18.0 - 0.0 - 0.0 - 0.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - TITAN - 318 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 318 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - [SENSOR::TITAN::318], [LOGGER::TITAN SMA::318] - 2015-09-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - - Installation at MKAH - 2015-09-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 48.3707 - -124.5891 - 18.0 - 0.0 - 0.0 - -90.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - TITAN - 318 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 318 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - 47.565029 - -122.53417 - 7.8 - - Manchester, WA, USA - - 2007-07-11T00:00:00.000000Z - 40 - 3 - - - [SENSOR::TITAN::501], [LOGGER::TITAN SMA::501] - 2018-02-07T00:00:00.000000Z - 2020-12-01T00:00:00.000000Z - - 47.565029 - -122.534142 - 8.0 - 0.0 - 90.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::501], [LOGGER::TITAN SMA::501] - 2018-02-07T00:00:00.000000Z - 2020-12-01T00:00:00.000000Z - - 47.565029 - -122.534142 - 8.0 - 0.0 - 0.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::501], [LOGGER::TITAN SMA::501] - 2018-02-07T00:00:00.000000Z - 2020-12-01T00:00:00.000000Z - - 47.565029 - -122.534142 - 8.0 - 0.0 - 0.0 - -90.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - 46.952473 - -124.159492 - 4.0 - - Ocean Shores, WA, USA - Ocean Shores Volunteer Fire Department - Ocean Shores - Grays Harbor - Washington - United States - - 2015-03-04T00:00:00.000000Z - 23 - 3 - - - [SENSOR::TITAN::298], [LOGGER::TITAN SMA::298] - 2015-03-04T00:00:00.000000Z - 2019-12-13T23:59:00.000000Z - - - Installed at OCEN - 2015-03-04T00:00:00.000000Z - 2019-12-13T23:59:00.000000Z - - 46.952473 - -124.159492 - 4.0 - 0.0 - 90.0 - 0.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - Nanometrics - TITAN - 298 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 298 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - [SENSOR::TITAN::298], [LOGGER::TITAN SMA::298] - 2015-03-04T00:00:00.000000Z - 2019-12-13T23:59:00.000000Z - - - Installed at OCEN - 2015-03-04T00:00:00.000000Z - 2019-12-13T23:59:00.000000Z - - 46.952473 - -124.159492 - 4.0 - 0.0 - 0.0 - 0.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - Nanometrics - TITAN - 298 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 298 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - [SENSOR::TITAN::298], [LOGGER::TITAN SMA::298] - 2015-03-04T00:00:00.000000Z - 2019-12-13T23:59:00.000000Z - - - Installed at OCEN - 2015-03-04T00:00:00.000000Z - 2019-12-13T23:59:00.000000Z - - 46.952473 - -124.159492 - 4.0 - 0.0 - 0.0 - -90.0 - CONTINUOUS - 200.0 - - NANOMETRICS - Accelerometer - NANOMETRICS - Nanometrics - TITAN - 298 - - - NANOMETRICS - NANOMETRICS - Nanometrics - TITAN SMA - 298 - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - IRIS-NRL - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.0077252805562011e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.002866667 - 0.002866667 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 1.0 - - - - - IRIS-NRL - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 1.0 - - - - - - - 47.74919 - -124.17544 - 741.0 - - Octopus West, WA, USA - - 2015-03-03T00:00:00.000000Z - 40 - 3 - - - [SENSOR::TITAN::299], [LOGGER::TITAN SMA::299] - 2015-03-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.74919 - -124.17544 - 741.0 - 0.0 - 90.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::299], [LOGGER::TITAN SMA::299] - 2015-03-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.74919 - -124.17544 - 741.0 - 0.0 - 0.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::299], [LOGGER::TITAN SMA::299] - 2015-03-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.74919 - -124.17544 - 741.0 - 0.0 - 0.0 - -90.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - 47.212779 - -124.204503 - 36.0 - - Pacific Beach Navy Resort, WA, USA - - 2016-03-03T00:00:00.000000Z - 43 - 3 - - - [SENSOR::TITAN::302], [LOGGER::TITAN SMA::302] - 2016-03-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.212779 - -124.204503 - 36.0 - 0.0 - 90.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::302], [LOGGER::TITAN SMA::302] - 2016-03-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.212779 - -124.204503 - 36.0 - 0.0 - 0.0 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::302], [LOGGER::TITAN SMA::302] - 2016-03-03T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.212779 - -124.204503 - 36.0 - 0.0 - 0.0 - -90.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - 48.10002 - -122.58696 - 52.2 - - Casa Del Gato; Greebeck, Wa, USA - Basement, near Bobcat run - Greenback - Island - WA - USA - - 2011-11-16T00:00:00.000000Z - 6 - 3 - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100766] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 48.10002 - -122.58696 - 52.2 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100766 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100766 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100766] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 48.10002 - -122.58696 - 52.2 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100766 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100766 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100766] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 48.10002 - -122.58696 - 52.2 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100766 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100766 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - 46.71635 - -122.9619 - 55.4 - - Centralia College; Centralia, WA, USA - Centralia - Lewis - WA - USA - - 2012-06-14T00:00:00.000000Z - 9 - 3 - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100091] - 2014-12-17T00:00:00.000000Z - - - Location code changed - 2014-12-17T00:00:00.000000Z - - 46.71635 - -122.9619 - 55.4 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100091 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100091 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100091] - 2014-12-17T00:00:00.000000Z - - - Location code changed - 2014-12-17T00:00:00.000000Z - - 46.71635 - -122.9619 - 55.4 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100091 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100091 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Location code changed - 2014-12-17T00:00:00.000000Z - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100091] - 2014-12-17T00:00:00.000000Z - - 46.71635 - -122.9619 - 55.4 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100091 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100091 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - 47.28638 - -122.50765 - 90.2 - - Tacoma, WA, USA - Water heater closet - Tacoma - Pierce - WA - USA - - 2011-05-20T00:00:00.000000Z - 6 - 3 - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100529] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.28638 - -122.50765 - 90.2 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100529 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100529 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100529] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.28638 - -122.50765 - 90.2 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100529 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100529 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100529] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.28638 - -122.50765 - 90.2 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100529 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100529 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - 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-0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - 47.03468 - -122.92066 - 56.4 - - 15th Ave SW, Olympia, WA - - 2010-09-28T00:00:00.000000Z - 6 - 3 - - 47.03468 - -122.92066 - 56.0 - 0.0 - 90.0 - 0.0 - TRIGGERED - GEOPHYSICAL - 200.0 - 0.0 - - V - Volts - - - GeoSIG GMS-IA18 NetQuakes - - - - 256354.0 - 1.0 - - m/s**2 - meters per second squared - - - counts - Digital counts - - - - - - m/s**2 - meters per second squared - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 1579150.0 - 1.0 - - -879.65 - 897.42 - - - -879.65 - -897.42 - - - - 0.339553 - 1.0 - - - - - - V - Volts - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 9.12672e+16 - 1.0 - - -1449.06 - 607.474 - - - -1449.06 - -607.474 - - - -597.838 - 1443.17 - - - -597.838 - -1443.17 - - - -15150.0 - 0.0 - - - - 1.0 - 1.0 - - - - - - V - Volts - - - counts - Digital Counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754975.0 - 1.0 - - - - - - counts - Digital counts - - - counts - Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 0.0 - - - - - - 47.03468 - -122.92066 - 56.0 - 0.0 - 0.0 - 0.0 - TRIGGERED - GEOPHYSICAL - 200.0 - 0.0 - - V - Volts - - - GeoSIG GMS-IA18 NetQuakes - - - - 256354.0 - 1.0 - - m/s**2 - meters per second squared - - - counts - Digital counts - - - - - - m/s**2 - meters per second squared - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 1579150.0 - 1.0 - - -879.65 - 897.42 - - - -879.65 - -897.42 - - - - 0.339553 - 1.0 - - - - - - V - Volts - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 9.12672e+16 - 1.0 - - -1449.06 - 607.474 - - - -1449.06 - -607.474 - - - -597.838 - 1443.17 - - - -597.838 - -1443.17 - - - -15150.0 - 0.0 - - - - 1.0 - 1.0 - - - - - - V - Volts - - - counts - Digital Counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754975.0 - 1.0 - - - - - - counts - Digital counts - - - counts - Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 0.0 - - - - - - 47.03468 - -122.92066 - 56.0 - 0.0 - 0.0 - -90.0 - TRIGGERED - GEOPHYSICAL - 200.0 - 0.0 - - V - Volts - - - GeoSIG GMS-IA18 NetQuakes - - - - 256354.0 - 1.0 - - m/s**2 - meters per second squared - - - counts - Digital counts - - - - - - m/s**2 - meters per second squared - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 1579150.0 - 1.0 - - -879.65 - 897.42 - - - -879.65 - -897.42 - - - - 0.339553 - 1.0 - - - - - - V - Volts - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 9.12672e+16 - 1.0 - - -1449.06 - 607.474 - - - -1449.06 - -607.474 - - - -597.838 - 1443.17 - - - -597.838 - -1443.17 - - - -15150.0 - 0.0 - - - - 1.0 - 1.0 - - - - - - V - Volts - - - counts - Digital Counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754975.0 - 1.0 - - - - - - counts - Digital counts - - - counts - Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 0.0 - - - - - - - 47.06092 - -122.8396 - 62.0 - - Olympia, WA, USA - Garage - Olympia - Thurston - WA - USA - - 2010-09-28T00:00:00.000000Z - 9 - 3 - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100639] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.06092 - -122.8396 - 62.0 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100639 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100639 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100639] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.06092 - -122.8396 - 62.0 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100639 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100639 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100639] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.06092 - -122.8396 - 62.0 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100639 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100639 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - 47.8086 - -122.5293 - 30.7 - - Kingston, WA, USA - Garage - Kingston - Kitsap - WA - USA - - 2009-12-30T00:00:00.000000Z - 6 - 3 - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100152] - 2014-12-17T00:00:00.000000Z - - - Location code changed - 2014-12-17T00:00:00.000000Z - - 47.8086 - -122.5293 - 30.7 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100152 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100152 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100152] - 2014-12-17T00:00:00.000000Z - - - Location code changed - 2014-12-17T00:00:00.000000Z - - 47.8086 - -122.5293 - 30.7 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100152 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100152 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100152] - 2014-12-17T00:00:00.000000Z - - - Location code changed - 2014-12-17T00:00:00.000000Z - - 47.8086 - -122.5293 - 30.7 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100152 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100152 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - 47.02649 - -122.90044 - 53.3 - - Olympia, WA, USA - - 2010-09-02T00:00:00.000000Z - 6 - 3 - - - [LOGGER::GSR-IA18-NETQUAKE::100400] - 2014-12-18T00:00:00.000000Z - 2023-04-05T00:00:00.000000Z - - 47.02649 - -122.90044 - 53.3 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.01 - - GEOSIG-AC-63,Accelerometer,GEOSIG - - - - 256332.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.0 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.339553 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754908.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 0.0 - - - - - - - [LOGGER::GSR-IA18-NETQUAKE::100400] - 2014-12-18T00:00:00.000000Z - 2023-04-05T00:00:00.000000Z - - 47.02649 - -122.90044 - 53.3 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.01 - - GEOSIG-AC-63,Accelerometer,GEOSIG - - - - 256332.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.0 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.339553 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754908.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 0.0 - - - - - - - [LOGGER::GSR-IA18-NETQUAKE::100400] - 2014-12-18T00:00:00.000000Z - 2023-04-05T00:00:00.000000Z - - 47.02649 - -122.90044 - 53.3 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.01 - - GEOSIG-AC-63,Accelerometer,GEOSIG - - - - 256332.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.0 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.339553 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754908.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 0.0 - - - - - - - 47.21344 - -122.53312 - 116.9 - - University Place, WA, USA - Garage - University Place - Pierce - WA - USA - - 2011-05-24T00:00:00.000000Z - 9 - 3 - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100641] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.21344 - -122.53312 - 116.9 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100641 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100641 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100641] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.21344 - -122.53312 - 116.9 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100641 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100641 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100641] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.21344 - -122.53312 - 116.9 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100641 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100641 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - 47.28922 - -122.5569 - 78.8 - - Gig Harbor, WA, USA - Garage - Gig Harbor - Pierce - WA - USA - - 2010-09-01T00:00:00.000000Z - 6 - 3 - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100406] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.28922 - -122.5569 - 78.8 - 0.0 - 90.0 - 0.0 - TRIGGERED - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100406 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100406 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100406] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.28922 - -122.5569 - 78.8 - 0.0 - 0.0 - 0.0 - TRIGGERED - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100406 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100406 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - Change Data Stream configuration only (e.g. to rename channels) [LOGGER::GSR-IA18-NETQUAKE::100406] - 2014-12-18T00:00:00.000000Z - - - Location code changed - 2014-12-18T00:00:00.000000Z - - 47.28922 - -122.5569 - 78.8 - 0.0 - 0.0 - -90.0 - TRIGGERED - GEOPHYSICAL - 200.0 - 0.01 - - GEOSIG - ACCELEROMETER - GEOSIG - Geosig - GEOSIG-AC-63 - 100406 - - - GEOSIG - GEOSIG - Geosig - GSR-IA18-NETQUAKE - 100406 - - - - 256331.3933925 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - CISN - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.4086324 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.3395533802386 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754907.5 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 1.0 - - - - - - - 47.03351 - -122.89655 - 39.5 - - Olympia, WA, USA - - 2010-09-22T00:00:00.000000Z - 3 - 3 - - - [SENSOR::GEOSIG-AC-63::100161], [LOGGER::GSR-IA18-NETQUAKE::100161] - 2010-09-22T00:00:00.000000Z - 2022-02-03T22:50:45.000000Z - - 47.03351 - -122.89655 - 39.5 - 0.0 - 90.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.01 - - GEOSIG-AC-63,Accelerometer,GEOSIG - - - - 256332.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.0 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.339553 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754908.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 0.0 - - - - - - - [SENSOR::GEOSIG-AC-63::100161], [LOGGER::GSR-IA18-NETQUAKE::100161] - 2010-09-22T00:00:00.000000Z - 2022-02-03T22:50:45.000000Z - - 47.03351 - -122.89655 - 39.5 - 0.0 - 0.0 - 0.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.01 - - GEOSIG-AC-63,Accelerometer,GEOSIG - - - - 256332.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.0 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.339553 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754908.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 0.0 - - - - - - - [SENSOR::GEOSIG-AC-63::100161], [LOGGER::GSR-IA18-NETQUAKE::100161] - 2010-09-22T00:00:00.000000Z - 2022-02-03T22:50:45.000000Z - - 47.03351 - -122.89655 - 39.5 - 0.0 - 0.0 - -90.0 - GEOPHYSICAL - TRIGGERED - 200.0 - 0.01 - - GEOSIG-AC-63,Accelerometer,GEOSIG - - - - 256332.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 394789.0 - 1.0 - - -439.83 - 448.709 - - - -439.83 - -448.709 - - - - 0.339553 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 1000.0 - 1 - 0 - 0.0 - 0.0 - - - 754908.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 3.576279e-07 - 4.768372e-07 - 5.960465e-07 - 5.960465e-07 - 1.192093e-07 - -5.960465e-07 - -1.66893e-06 - -2.741814e-06 - -3.457069e-06 - -3.457069e-06 - -2.384186e-06 - -2.384186e-07 - 2.861023e-06 - 5.960465e-06 - 8.106232e-06 - 8.225441e-06 - 5.602837e-06 - 3.576279e-07 - -6.437302e-06 - -1.323223e-05 - -1.752377e-05 - -1.728535e-05 - -1.144409e-05 - -3.576279e-07 - 1.370907e-05 - 2.658367e-05 - 3.409386e-05 - 3.242493e-05 - 1.990795e-05 - -1.66893e-06 - -2.753735e-05 - -5.018711e-05 - -6.151199e-05 - -5.567074e-05 - -3.099441e-05 - 8.34465e-06 - 5.280971e-05 - 8.904934e-05 - 0.0001040697 - 8.904934e-05 - 4.327297e-05 - -2.43187e-05 - -9.608269e-05 - -0.0001502037 - -0.0001665354 - -0.0001333952 - -5.316734e-05 - 5.674362e-05 - 0.0001666546 - 0.0002418756 - 0.0002536774 - 0.0001882315 - 5.447865e-05 - -0.0001162291 - -0.0002759695 - -0.0003733635 - -0.0003691912 - -0.0002501011 - -3.71933e-05 - 0.0002167225 - 0.0004382134 - 0.000554204 - 0.0005148649 - 0.0003117323 - -1.370907e-05 - -0.0003764629 - -0.0006694794 - -0.000793457 - -0.0006890297 - -0.0003604889 - 0.0001182556 - 0.000617981 - 0.0009875298 - 0.001098037 - 0.0008852482 - 0.0003775358 - -0.0003032684 - -0.0009678602 - -0.001410842 - -0.001471996 - -0.001090765 - -0.0003356934 - 0.000602603 - 0.001456976 - 0.001957655 - 0.00191462 - 0.001284599 - 0.0001988411 - -0.001058221 - -0.002120972 - -0.002646208 - -0.002420068 - -0.001436234 - 8.094311e-05 - 0.001722813 - 0.003002405 - 0.003495455 - 0.002975822 - 0.00150311 - -0.0005674362 - -0.002664804 - -0.004155159 - -0.004528165 - -0.003563642 - -0.00142622 - 0.001348257 - 0.003979564 - 0.005656362 - 0.00577879 - 0.00415957 - 0.001120925 - -0.002554655 - -0.005815625 - -0.007632971 - -0.007312179 - -0.004735708 - -0.0004551411 - 0.004407287 - 0.00843811 - 0.01032686 - 0.009269357 - 0.005262137 - -0.000810504 - -0.007342935 - -0.01240552 - -0.01428091 - -0.01199794 - -0.005708933 - 0.003215194 - 0.01243019 - 0.01917219 - 0.02100003 - 0.01654279 - 0.006049752 - -0.008424282 - -0.02328706 - -0.03410423 - -0.03658593 - -0.02764368 - -0.006263375 - 0.0260328 - 0.06527185 - 0.1056763 - 0.1407494 - 0.1645691 - 0.1730027 - - - 1000.0 - 5 - 0 - 0.0 - 0.0 - - - 1.0 - 0.0 - - - - - - - 48.073681 - -123.048058 - 45.0 - - PNNL - Sequim, WA, USA - - 2000-08-01T00:00:00.000000Z - 28 - 3 - - 48.073681 - -123.048058 - 45.0 - 0.0 - 90.0 - 0.0 - TRIGGERED - 200.0 - 0.0001 - - A - Amperes - - - ES-T-4286=ROCK1-357 - - - - 213993.0 - 1.0 - - M/S**2 - Meters/sec**2 Acceleration - - - COUNTS - Digital Counts - - - - - - M/S**2 - Meters/sec**2 Acceleration - - - V - Volts - - LAPLACE (RADIANS/SECOND) - 24596000000000.0 - 1.0 - - -981.0 - 1009.0 - - - -981.0 - -1009.0 - - - -3290.0 - 1263.0 - - - -3290.0 - -1263.0 - - - - 0.5102 - 1.0 - - - - - - V - Volts - - - COUNTS - Digital Counts - - DIGITAL - 1.0 - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 419430.0 - 0.05 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - DIGITAL - 8.48249e-06 - 3.89037e-05 - 0.000109346 - 0.000226937 - 0.00036584 - 0.000447944 - 0.000346227 - -7.08089e-05 - -0.000851525 - -0.00185801 - -0.0027055 - -0.00281272 - -0.00160384 - 0.00116656 - 0.00508161 - 0.00890325 - 0.010758 - 0.00873375 - 0.00177379 - -0.00943683 - -0.0219989 - -0.0310883 - -0.0311164 - -0.0175223 - 0.0113614 - 0.0530733 - 0.100994 - 0.145714 - 0.177481 - 0.188975 - 0.177481 - 0.145714 - 0.100994 - 0.0530733 - 0.0113614 - -0.0175223 - -0.0311164 - -0.0310883 - -0.0219989 - -0.00943683 - 0.00177379 - 0.00873375 - 0.010758 - 0.00890325 - 0.00508161 - 0.00116656 - -0.00160384 - -0.00281272 - -0.0027055 - -0.00185801 - -0.000851525 - -7.08089e-05 - 0.000346227 - 0.000447944 - 0.00036584 - 0.000226937 - 0.000109346 - 3.89037e-05 - 8.48249e-06 - - - 30000.0 - 5 - 0 - 6.25e-05 - 6.25e-05 - - - 1.0 - 0.05 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - DIGITAL - 4.13465e-05 - 0.000234989 - 0.000591262 - 0.000653151 - -0.000475707 - -0.00295148 - -0.00454665 - -0.00123816 - 0.0081097 - 0.0164184 - 0.0105253 - -0.0154747 - -0.0453658 - -0.0428086 - 0.0222852 - 0.14106 - 0.258835 - 0.308214 - 0.258835 - 0.14106 - 0.0222852 - -0.0428086 - -0.0453658 - -0.0154747 - 0.0105253 - 0.0164184 - 0.0081097 - -0.00123816 - -0.00454665 - -0.00295148 - -0.000475707 - 0.000653151 - 0.000591262 - 0.000234989 - 4.13465e-05 - - - 6000.0 - 3 - 0 - 0.0001875 - 0.0001875 - - - 1.0 - 0.05 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - DIGITAL - -1.25728e-08 - -1.05239e-07 - -4.85219e-07 - -1.62749e-06 - -4.36278e-06 - -9.75467e-06 - -1.85249e-05 - -2.98358e-05 - -3.95435e-05 - -3.85744e-05 - -1.276e-05 - 5.41867e-05 - 0.000173286 - 0.00033889 - 0.000516461 - 0.000635812 - 0.000597759 - 0.000300498 - -0.000314192 - -0.00120507 - -0.00218704 - -0.00292612 - -0.00299796 - -0.0020174 - 0.000182455 - 0.003375 - 0.00684425 - 0.00944234 - 0.00984065 - 0.00695227 - 0.00042907 - -0.00892353 - -0.0189876 - -0.026559 - -0.0279847 - -0.020103 - -0.0012493 - 0.0279692 - 0.0644083 - 0.10278 - 0.136674 - 0.159965 - 0.168261 - 0.159965 - 0.136674 - 0.10278 - 0.0644083 - 0.0279692 - -0.0012493 - -0.020103 - -0.0279847 - -0.026559 - -0.0189876 - -0.00892353 - 0.00042907 - 0.00695227 - 0.00984065 - 0.00944234 - 0.00684425 - 0.003375 - 0.000182455 - -0.0020174 - -0.00299796 - -0.00292612 - -0.00218704 - -0.00120507 - -0.000314192 - 0.000300498 - 0.000597759 - 0.000635812 - 0.000516461 - 0.00033889 - 0.000173286 - 5.41867e-05 - -1.276e-05 - -3.85744e-05 - -3.95435e-05 - -2.98358e-05 - -1.85249e-05 - -9.75467e-06 - -4.36278e-06 - -1.62749e-06 - -4.85219e-07 - -1.05239e-07 - -1.25728e-08 - - - 2000.0 - 5 - 0 - 0.0001875 - 0.0001875 - - - 1.0 - 0.05 - - - - - - COUNTS - Digital Counts - - - COUNTS - Digital Counts - - DIGITAL - 2.8871e-08 - 2.05357e-07 - 6.20727e-07 - 7.18515e-07 - -1.38441e-06 - -7.7975e-06 - -1.69897e-05 - -2.11047e-05 - -1.16173e-05 - 7.80309e-06 - 1.77319e-05 - 2.98768e-06 - -2.14367e-05 - -1.9717e-05 - 1.55247e-05 - 3.81991e-05 - 4.42239e-06 - -5.01745e-05 - -3.89661e-05 - 4.42238e-05 - 8.129e-05 - -1.01537e-05 - -0.000116444 - -5.57676e-05 - 0.00012339 - 0.000145692 - -8.04989e-05 - -0.000237298 - -2.62186e-05 - 0.000295014 - 0.000193928 - -0.000276734 - -0.000395855 - 0.000145696 - 0.000579332 - 0.000114268 - -0.000671906 - -0.00048414 - 0.000596339 - 0.000900563 - -0.000293051 - -0.00125695 - -0.000254198 - 0.00141822 - 0.000996165 - -0.0012493 - -0.001807 - 0.000653577 - 0.00249086 - 0.000385978 - -0.00280996 - -0.00177377 - 0.00253297 - 0.00328742 - -0.00149676 - -0.00459133 - -0.000329872 - 0.00528226 - 0.00279596 - -0.00496379 - -0.00554609 - 0.00333984 - 0.00803791 - -0.000310468 - -0.0096033 - -0.00394934 - 0.00954874 - 0.00894634 - -0.00728015 - -0.013873 - 0.00243061 - 0.0176589 - 0.00503427 - -0.0190534 - -0.0147575 - 0.0166972 - 0.0259952 - -0.00908776 - -0.0376895 - -0.00581503 - 0.0486034 - 0.0323113 - -0.0574957 - -0.0859903 - 0.0633078 - 0.311379 - 0.434671 - 0.311379 - 0.0633078 - 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- 2015-04-01T00:00:00.000000Z - 23 - 3 - - - [SENSOR::TITAN::316], [LOGGER::TITAN SMA::316] - 2015-04-01T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.344372 - -124.28746 - 6.4 - 0.0 - 92.5 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::316], [LOGGER::TITAN SMA::316] - 2015-04-01T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.344372 - -124.28746 - 6.4 - 0.0 - 2.5 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::316], [LOGGER::TITAN SMA::316] - 2015-04-01T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.344372 - -124.28746 - 6.4 - 0.0 - 0.0 - -90.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - 47.214431 - -122.546085 - 126.0 - - Tacoma, WA, USA - - 2018-07-19T00:00:00.000000Z - 23 - 3 - - - [SENSOR::TITAN::521], [LOGGER::TITAN SMA::521] - 2018-07-19T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.214431 - -122.546085 - 126.0 - 0.0 - 102.5 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::521], [LOGGER::TITAN SMA::521] - 2018-07-19T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.214431 - -122.546085 - 126.0 - 0.0 - 12.5 - 0.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 0.007110222 - -0.004505597 - -0.01896892 - -0.03093477 - -0.03392627 - -0.02242131 - 0.005943292 - 0.04887832 - 0.09933513 - 0.1470122 - 0.1811124 - 0.1934883 - - - 2000.0 - 5 - 0 - 0.0235 - 0.0235 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -2.487704e-10 - 4.73744e-09 - 1.240319e-08 - 2.18423e-09 - -2.973504e-08 - -2.774098e-08 - 4.823501e-08 - 9.04852e-08 - -4.377202e-08 - -2.029251e-07 - -2.93251e-08 - 3.576771e-07 - 2.380756e-07 - -5.050541e-07 - -6.566606e-07 - 5.295136e-07 - 1.333027e-06 - -2.353909e-07 - -2.234558e-06 - -6.431887e-07 - 3.178848e-06 - 2.391894e-06 - -3.766426e-06 - -5.213131e-06 - 3.343879e-06 - 9.069842e-06 - -1.034203e-06 - -1.349476e-05 - -4.128203e-06 - 1.740814e-05 - 1.293247e-05 - -1.901116e-05 - -2.55982e-05 - 1.583847e-05 - 4.129854e-05 - -5.051362e-06 - -5.769434e-05 - -1.597343e-05 - 7.06232e-05 - 4.876212e-05 - -7.411825e-05 - -9.265601e-05 - 6.092806e-05 - 0.0001437042 - -2.365713e-05 - -0.0001938177 - -4.346068e-05 - 0.0002305286 - 0.0001422997 - -0.0002376966 - -0.0002684195 - 0.00019742 - 0.0004089862 - -9.322642e-05 - -0.0005416667 - -8.56506e-05 - 0.0006351459 - 0.0003394235 - -0.0006517938 - -0.0006531623 - 0.000552734 - 0.0009935334 - -0.000305133 - -0.00130802 - -0.0001089867 - 0.001527642 - 0.0006836461 - -0.001573808 - -0.00138119 - 0.001369316 - 0.002127841 - -0.0008527391 - -0.002814326 - -5.435981e-06 - 0.003302926 - 0.001187235 - -0.003441493 - -0.002615018 - 0.003083861 - 0.004145541 - -0.002114933 - -0.005572669 - 0.0004775432 - 0.006640171 - 0.001802538 - -0.00706464 - -0.004597381 - 0.00656694 - 0.007666904 - -0.00490895 - -0.01066029 - 0.001931064 - 0.01312888 - 0.002414871 - -0.01454758 - -0.008042475 - 0.01433728 - 0.01472206 - -0.01187359 - -0.02208895 - 0.00645106 - 0.0296694 - 0.002871719 - -0.03692219 - -0.01777635 - 0.04329151 - 0.04248361 - -0.04826485 - -0.09280869 - 0.05142858 - 0.3137774 - 0.4474858 - - - 400.0 - 2 - 0 - 0.2775 - 0.2775 - - - 1.0 - 0.0 - - - - - - - [SENSOR::TITAN::521], [LOGGER::TITAN SMA::521] - 2018-07-19T00:00:00.000000Z - 2020-09-30T00:00:00.000000Z - - 47.214431 - -122.546085 - 126.0 - 0.0 - 0.0 - -90.0 - CONTINUOUS - GEOPHYSICAL - 200.0 - 0.0 - - TITAN-INTERNAL,Accelerometer,NANOMETRICS - - - - 204000.0 - 1.0 - - m/s**2 - Acceleration in meters per second squared - - - counts - Digital Count in Digital counts - - - - - - m/s**2 - Acceleration in meters per second squared - - - V - Voltage in Volts - - LAPLACE (RADIANS/SECOND) - 1.00773e+18 - 1.0 - - -515.0 - 0.0 - - - -977.0 - 328.0 - - - -977.0 - -328.0 - - - -1486.0 - 2512.0 - - - -1486.0 - -2512.0 - - - -5736.0 - 4946.0 - - - -5736.0 - -4946.0 - - - - 0.51 - 1.0 - - - - - 1.0 - 1.0 - - - - - - V - Voltage in Volts - - - counts - Digital Count in Digital counts - - DIGITAL - - - 30000.0 - 1 - 0 - 0.0 - 0.0 - - - 400000.0 - 1.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - -4.362506e-10 - -1.806376e-09 - -5.570395e-09 - -1.438565e-08 - -3.295638e-08 - -6.910595e-08 - -1.351975e-07 - -2.499214e-07 - -4.404316e-07 - -7.447577e-07 - -1.214345e-06 - -1.916484e-06 - -2.936282e-06 - -4.377722e-06 - -6.363249e-06 - -9.031219e-06 - -1.253051e-05 - -1.701159e-05 - -2.261336e-05 - -2.944542e-05 - -3.756534e-05 - -4.695136e-05 - -5.747104e-05 - -6.884722e-05 - -8.062329e-05 - -9.213046e-05 - -0.0001024605 - -0.0001104477 - -0.0001146657 - -0.0001134418 - -0.0001048958 - -8.700583e-05 - -5.77047e-05 - -1.500875e-05 - 4.282198e-05 - 0.0001170947 - 0.0002084719 - 0.0003167458 - 0.0004406109 - 0.0005774503 - 0.0007231526 - 0.0008719815 - 0.001016515 - 0.001147675 - 0.001254875 - 0.001326278 - 0.001349202 - 0.001310656 - 0.00119801 - 0.0009997812 - 0.0007065188 - 0.000311744 - -0.0001870896 - -0.000787669 - -0.001481986 - -0.002255648 - -0.003087405 - -0.003948936 - -0.004804953 - -0.005613663 - -0.006327602 - -0.006894852 - -0.007260629 - -0.007369196 - -0.007166059 - -0.006600352 - -0.005627322 - -0.004210811 - -0.002325598 - 4.049921e-05 - 0.002884909 - 0.006189061 - 0.009917722 - 0.01401898 - 0.01842492 - 0.023053 - 0.02780811 - 0.03258523 - 0.03727268 - 0.04175574 - 0.04592051 - 0.04965794 - 0.05286779 - 0.05546228 - 0.05736941 - 0.05853568 - 0.05892815 - - - 30000.0 - 15 - 0 - 0.0028667 - 0.0028667 - - - 1.0 - 0.0 - - - - - - counts - Digital Count in Digital counts - - - counts - Digital Count in Digital counts - - ODD - 6.15343e-09 - 3.530519e-08 - 1.089858e-07 - 2.142857e-07 - 2.256698e-07 - -1.682191e-07 - -1.414451e-06 - -3.770907e-06 - -6.660794e-06 - -7.962811e-06 - -3.899631e-06 - 9.603922e-06 - 3.362841e-05 - 6.183139e-05 - 7.748136e-05 - 5.581577e-05 - -2.520516e-05 - -0.0001665612 - -0.0003294145 - -0.0004289274 - -0.0003543106 - -2.029751e-05 - 0.0005622961 - 0.001229527 - 0.001664545 - 0.00148856 - 0.000439482 - -0.00141854 - -0.003558014 - -0.005035429 - -0.004783903 - -0.002105147 - 0.002811017 - 0.008594694 - 0.01286812 - 0.01297355 - 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0.2775 - - - 1.0 - 0.0 - - - - - - - From e1e4e17a2c5ce758f03eae29ac6a9823e2402fff Mon Sep 17 00:00:00 2001 From: Asif Ashraf Date: Wed, 12 Aug 2026 18:59:43 -0700 Subject: [PATCH 15/15] dask final --- tutorials/DASK/dask_application.ipynb | 41 ++ tutorials/DASK/dask_operation.ipynb | 16 + tutorials/DASK/dask_scaling.ipynb | 997 ++++++++++++++++++++++++++ 3 files changed, 1054 insertions(+) create mode 100644 tutorials/DASK/dask_scaling.ipynb diff --git a/tutorials/DASK/dask_application.ipynb b/tutorials/DASK/dask_application.ipynb index ac39738..b8ec197 100644 --- a/tutorials/DASK/dask_application.ipynb +++ b/tutorials/DASK/dask_application.ipynb @@ -8,11 +8,27 @@ "# **DASK Application**" ] }, + { + "cell_type": "markdown", + "id": "97b12633", + "metadata": {}, + "source": [ + "**Version:** 1.0 | **Last updated:** 2026-08-11\n", + "\n", + "**Author:** Asif Ashraf | **Author institution:** EarthScope Consortium\n", + "\n", + "**Maintainer:** EarthScope OnRamp Team | **Maintainer's contact:** help@earthscope.org\n", + "\n", + "**License:** CC-BY-4.0" + ] + }, { "cell_type": "markdown", "id": "bbf78f89-6f38-4364-957e-188041f204c0", "metadata": {}, "source": [ + "### **Introduction**\n", + "\n", "This notebook demonstrates how `dask` can accelerate a real geophysics workflow. We will use `obspy` to retrieve seismic waveform data through EarthScope web services, remove the instrument response, and calculate simple waveform measurements for multiple seismic stations.\n", "\n", "To understand where Dask fits into a scientific workflow, we will implement the same analysis in two different ways:\n", @@ -42,6 +58,14 @@ "6. [Summary](#6-summary)" ] }, + { + "cell_type": "markdown", + "id": "237fe1e4", + "metadata": {}, + "source": [ + "---" + ] + }, { "cell_type": "markdown", "id": "5e67bd6e-37c5-4dd1-af35-0233b4245ca0", @@ -427,6 +451,23 @@ "- the dependencies associated with the task." ] }, + { + "cell_type": "code", + "execution_count": null, + "id": "b895ebba", + "metadata": {}, + "outputs": [], + "source": [ + "from dask.distributed import Client\n", + "\n", + "client = Client(\n", + " n_workers=2,\n", + " threads_per_worker=2\n", + ")\n", + "\n", + "client" + ] + }, { "cell_type": "markdown", "id": "7895d1cb", diff --git a/tutorials/DASK/dask_operation.ipynb b/tutorials/DASK/dask_operation.ipynb index 71af7ee..f24ae18 100644 --- a/tutorials/DASK/dask_operation.ipynb +++ b/tutorials/DASK/dask_operation.ipynb @@ -8,11 +8,27 @@ "# **DASK Operation**" ] }, + { + "cell_type": "markdown", + "id": "87402513", + "metadata": {}, + "source": [ + "**Version:** 1.0 | **Last updated:** 2026-08-11\n", + "\n", + "**Author:** Asif Ashraf | **Author institution:** EarthScope Consortium\n", + "\n", + "**Maintainer:** EarthScope OnRamp Team | **Maintainer's contact:** help@earthscope.org\n", + "\n", + "**License:** CC-BY-4.0" + ] + }, { "cell_type": "markdown", "id": "6cfb333f", "metadata": {}, "source": [ + "### **Introduction**\n", + "\n", "This notebook teaches how to use `dask` in scaling up python code and data processing workflows to handle larger-than-memory datasets and leverage multiple cores. With the help of `dask`, you can easily scale a wide array of solutions and configure your project to use most of the available computational power. The best part is that you don’t need to rewrite your entire codebase, you just have to enable parallel computing with minimal modifications based on your use cases.\n", "\n", "In this notebook we will examine how the structure of a problem determines whether—and how—it can be parallelized.\n", diff --git a/tutorials/DASK/dask_scaling.ipynb b/tutorials/DASK/dask_scaling.ipynb new file mode 100644 index 0000000..9913f99 --- /dev/null +++ b/tutorials/DASK/dask_scaling.ipynb @@ -0,0 +1,997 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "9139e97e", + "metadata": {}, + "source": [ + "# **DASK Scaling**" + ] + }, + { + "cell_type": "markdown", + "id": "a00f2483", + "metadata": {}, + "source": [ + "**Version:** 2.0 | **Last updated:** 2026-08-11\n", + "\n", + "**Author:** Asif Ashraf | **Author institution:** EarthScope Consortium\n", + "\n", + "**Maintainer:** EarthScope OnRamp Team | **Maintainer's contact:** help@earthscope.org\n", + "\n", + "**License:** CC-BY-4.0" + ] + }, + { + "cell_type": "markdown", + "id": "8d8b0852", + "metadata": {}, + "source": [ + "## Introduction\n", + "\n", + "Preparing data from many seismic stations can take time. For each station, we need to download the waveform, clean and resample it, and identify the P-wave arrival. Because each station can be processed independently, we can prepare several waveforms at the same time.\n", + "\n", + "In this notebook, `dask` distributes these tasks across multiple threads. We then combine the prepared waveforms into a training dataset and use PyTorch to train a small convolutional neural network.\n", + "\n", + "The goal is to demonstrate a complete workflow: using Dask to prepare seismic data in parallel and then using that data to train a neural network.\n", + "\n", + "### Learning objectives\n", + "\n", + "By the end of this notebook, you will be able to:\n", + "\n", + "- submit independent tasks with Dask `Futures`;\n", + "- collect results as tasks finish;\n", + "- visualize concurrent execution across threads; and\n", + "- pass prepared data from Dask to a neural-network workflow.\n", + "\n", + "### Contents\n", + "\n", + "1. [Set up Dask](#1-set-up-dask)\n", + "2. [Build the request queue](#2-build-the-request-queue)\n", + "3. [Prepare one waveform](#3-prepare-one-waveform)\n", + "4. [Submit a Future](#4-submit-a-future)\n", + "5. [Stream data in parallel](#5-stream-data-in-parallel)\n", + "6. [Build the training dataset](#6-build-the-training-dataset)\n", + "7. [Train the CNN](#7-train-the-cnn)\n", + "8. [Evaluate predictions](#8-evaluate-predictions)\n", + "9. [Conclusion](#9-conclusion)" + ] + }, + { + "cell_type": "markdown", + "id": "cc70718f", + "metadata": {}, + "source": [ + "## 1. Set up Dask\n", + "\n", + "A Dask `Client` sends tasks to a scheduler. Here, one local Dask process runs four execution threads. Threads share memory and are well suited to this workflow because waveform downloads are I/O-bound and NumPy, ObsPy, and PyTorch perform substantial work outside the Python Global Interpreter Lock." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "a53e2893", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Dask is ready with 4 execution threads.\n" + ] + }, + { + "data": { + "text/html": [ + "
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" + ], + "text/plain": [ + "" + ] + }, + "execution_count": 1, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "from dask.distributed import Client, LocalCluster, as_completed, get_task_stream\n", + "\n", + "N_THREADS = 4\n", + "\n", + "cluster = LocalCluster(n_workers=1, threads_per_worker=N_THREADS,\n", + " processes=False, memory_limit=\"auto\")\n", + "\n", + "client = Client(cluster)\n", + "\n", + "print(f\"Dask is ready with {N_THREADS} execution threads.\")\n", + "client" + ] + }, + { + "cell_type": "markdown", + "id": "419e85ca", + "metadata": {}, + "source": [ + "On GeoLab, a Dask Gateway cluster can replace `LocalCluster`. Only the cluster-creation cell changes:\n", + "\n", + "```python\n", + "from dask_gateway import Gateway\n", + "\n", + "gateway = Gateway()\n", + "cluster = gateway.new_cluster(gateway.cluster_options())\n", + "cluster.adapt(minimum=2, maximum=10)\n", + "client = cluster.get_client()\n", + "```\n", + "\n", + "Adaptive scaling adds resources when tasks accumulate and releases them when demand falls." + ] + }, + { + "cell_type": "markdown", + "id": "056007ff-e1d7-42e0-a057-18dc8b4ad4bc", + "metadata": {}, + "source": [ + "### Imports" + ] + }, + { + "cell_type": "markdown", + "id": "639c9775-5c58-4ae8-8e2d-7f4b036d919f", + "metadata": {}, + "source": [ + "##### **Before you start**\n", + "\n", + "This notebook uses `obspy`, `dask.distributed`, `matplotlib`, `numpy`, `seisbench`, and `torch`. The first four appeared in the earlier notebooks. **PyTorch and Seisbench are new here**, so the cell below checks if they exist in the current session, and if not, we install them via `pip`" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "1ac5a01a-9f11-4be2-af75-d27f8dde8c0e", + "metadata": {}, + "outputs": [], + "source": [ + "try:\n", + " import torch\n", + " import torch.nn as nn\n", + " from torch.utils.data import DataLoader, TensorDataset\n", + "except:\n", + " print(\"PyTorch not found. Installing it ...\")\n", + " !pip install torch\n", + " import torch\n", + " import torch.nn as nn\n", + " from torch.utils.data import DataLoader, TensorDataset\n", + "\n", + "try:\n", + " import seisbench.models as sbm\n", + "except:\n", + " print(\"Seisbench not found. Installing it ...\")\n", + " !pip install seisbench\n", + " import seisbench.models as sbm" + ] + }, + { + "cell_type": "markdown", + "id": "55c3eb01-f51c-4947-aeed-e8409f1654e1", + "metadata": {}, + "source": [ + "The remaining libraries support waveform access, preprocessing, labeling, visualization, and neural-network training." + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "cc8d3296-7616-43aa-be94-08c7612ecb57", + "metadata": {}, + "outputs": [], + "source": [ + "from functools import lru_cache\n", + "from time import perf_counter\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import seisbench.models as sbm\n", + "import torch\n", + "import torch.nn as nn\n", + "from obspy import UTCDateTime\n", + "from obspy.clients.fdsn import Client as FDSNClient\n", + "from torch.utils.data import DataLoader, TensorDataset\n", + "\n", + "rng = np.random.default_rng(42)\n", + "torch.manual_seed(42)\n", + "torch.set_num_threads(1)" + ] + }, + { + "cell_type": "markdown", + "id": "c9500175", + "metadata": {}, + "source": [ + "## 2. Build the request queue\n", + "\n", + "The example uses the M4.6 earthquake near Monroe, Washington, on 12 July 2019. We request three-component waveforms from nearby stations of `UW` network. Each request is a small dictionary and can be processed independently." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "ee51e52b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prepared 21 independent station requests.\n" + ] + } + ], + "source": [ + "PROVIDER = \"EARTHSCOPE\"\n", + "EVENT = {\"time\": \"2019-07-12T09:51:38\", \"latitude\": 47.873, \"longitude\": -122.016}\n", + "NETWORK, CHANNEL = \"UW\", \"HH?\"\n", + "SEARCH_RADIUS_KM = 150\n", + "PRE_TIME, POST_TIME = 5, 40\n", + "TARGET_SAMPLING_RATE = 50\n", + "P_THRESHOLD = 0.2\n", + "MAX_STATIONS = 40\n", + "\n", + "event_time = UTCDateTime(EVENT[\"time\"])\n", + "inventory = FDSNClient(PROVIDER).get_stations(network=NETWORK, station=\"*\", \n", + " location=\"*\", channel=CHANNEL, \n", + " latitude=EVENT[\"latitude\"], longitude=EVENT[\"longitude\"],\n", + " maxradius=SEARCH_RADIUS_KM / 111.2,\n", + " starttime=event_time, endtime=event_time + 1, level=\"response\")\n", + "\n", + "request_by_station = {}\n", + "for network in inventory:\n", + " for station in network:\n", + " for channel in station:\n", + " request_by_station.setdefault(\n", + " station.code,\n", + " {\n", + " \"provider\": PROVIDER,\n", + " \"network\": network.code,\n", + " \"station\": station.code,\n", + " \"location\": channel.location_code or \"\",\n", + " \"channel\": CHANNEL,\n", + " },\n", + " )\n", + "\n", + "requests = [request_by_station[key] for key in sorted(request_by_station)[:MAX_STATIONS]]\n", + "print(f\"Prepared {len(requests)} independent station requests.\")" + ] + }, + { + "cell_type": "markdown", + "id": "b418ddf1", + "metadata": {}, + "source": [ + "## 3. Prepare one waveform\n", + "\n", + "Each task performs the complete preparation workflow for one station:\n", + "\n", + "1. download a three-component waveform;\n", + "2. use PhaseNet to identify the P arrival;\n", + "3. select, filter, resample, and standardize the vertical component; and\n", + "4. return compact NumPy arrays for training.\n", + "\n", + "PhaseNet labels are convenient and consistent, but they are model-generated labels rather than reviewed analyst picks." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "12b0d13a-6dfa-4686-8445-117c95975735", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Phasenet is ready!\n" + ] + } + ], + "source": [ + "@lru_cache(maxsize=1)\n", + "def get_picker():\n", + " return sbm.PhaseNet.from_pretrained(\"original\")\n", + "get_picker() # Download once and reuse across tasks.\n", + "print(f\"Phasenet is ready!\")" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "4455d1db", + "metadata": {}, + "outputs": [], + "source": [ + "def fetch_and_prepare(request):\n", + " # Download, label, and standardize one station waveform.\n", + " try:\n", + " start = event_time - PRE_TIME\n", + " end = event_time + POST_TIME\n", + " n_samples = int((PRE_TIME + POST_TIME) * TARGET_SAMPLING_RATE)\n", + "\n", + " stream = FDSNClient(request[\"provider\"]).get_waveforms(request[\"network\"], request[\"station\"],\n", + " request[\"location\"], request[\"channel\"],\n", + " start, end)\n", + " stream.merge(method=1, fill_value=\"interpolate\")\n", + "\n", + " output = get_picker().classify(stream, P_threshold=P_THRESHOLD)\n", + " picks = getattr(output, \"picks\", output)\n", + " p_picks = [pick for pick in picks if pick.phase == \"P\"]\n", + " if not p_picks:\n", + " return None\n", + "\n", + " best_pick = max(p_picks, key=lambda pick: pick.peak_value)\n", + " pick_sample = round((best_pick.peak_time - start) * TARGET_SAMPLING_RATE)\n", + " if not 0 <= pick_sample < n_samples:\n", + " return None\n", + "\n", + " vertical = stream.select(component=\"Z\")\n", + " if not vertical:\n", + " return None\n", + "\n", + " trace = max(vertical, key=lambda item: item.stats.npts).copy()\n", + " trace.detrend(\"linear\").detrend(\"demean\").taper(max_percentage=0.05)\n", + " if trace.stats.sampling_rate > TARGET_SAMPLING_RATE:\n", + " trace.filter(\"lowpass\", freq=0.4 * TARGET_SAMPLING_RATE, zerophase=True)\n", + "\n", + " trace.trim(start - 1, end + 1, pad=True, fill_value=0)\n", + " trace.interpolate(TARGET_SAMPLING_RATE, starttime=start,\n", + " npts=n_samples, method=\"linear\")\n", + "\n", + " waveform = np.asarray(trace.data, dtype=np.float32)\n", + " scale = np.std(waveform)\n", + " if scale == 0:\n", + " return None\n", + " waveform = (waveform - np.median(waveform)) / scale\n", + "\n", + " label = np.zeros(n_samples, dtype=np.int64)\n", + " half_width = round(0.25 * TARGET_SAMPLING_RATE)\n", + " label[max(0, pick_sample - half_width):pick_sample + half_width + 1] = 1\n", + "\n", + " return {\"station\": request[\"station\"], \"waveform\": waveform, \"label\": label}\n", + " except Exception:\n", + " return None" + ] + }, + { + "cell_type": "markdown", + "id": "63c1bb1e", + "metadata": {}, + "source": [ + "## 4. Submit a Future\n", + "\n", + "`client.submit()` schedules one task immediately and returns a `Future`, which represents a result that may still be pending or running. Calling `.result()` waits only for that task." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "0322975b", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Completed station: BERY\n" + ] + } + ], + "source": [ + "first_future = client.submit(fetch_and_prepare, requests[0], pure=False)\n", + "print(first_future)\n", + "\n", + "first_result = first_future.result()\n", + "print(f\"Completed station: {first_result['station'] if first_result else 'skipped'}\")" + ] + }, + { + "cell_type": "markdown", + "id": "bc2b0497", + "metadata": {}, + "source": [ + "`pure=False` tells Dask to execute the call each time it is submitted. This is appropriate for remote data access because the result can change even when the request is identical." + ] + }, + { + "cell_type": "markdown", + "id": "070aab9b", + "metadata": {}, + "source": [ + "## 5. Stream data in parallel\n", + "\n", + "`client.map()` submits the remaining station requests. `as_completed()` yields each result as soon as it finishes, while `get_task_stream()` records the execution timeline. The four threads can overlap downloads and preprocessing instead of handling stations sequentially." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "8a7e0cc1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Prepared 20 waveforms in 1.77 s with 4 threads.\n" + ] + } + ], + "source": [ + "records = [first_result] if first_result else []\n", + "\n", + "with get_task_stream(client) as task_stream:\n", + " start = perf_counter()\n", + " futures = client.map(fetch_and_prepare, requests[1:], pure=False)\n", + " for future in as_completed(futures):\n", + " result = future.result()\n", + " if result is not None:\n", + " records.append(result)\n", + " batch_runtime = perf_counter() - start\n", + "\n", + "print(f\"Prepared {len(records)} waveforms in {batch_runtime:.2f} s with {N_THREADS} threads.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "f54e93ee", + "metadata": {}, + "outputs": [ + { + 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Average threads busy: 3.76 of 4\n" + ] + } + ], + "source": [ + "computations = [\n", + " (item[\"thread\"], step[\"start\"], step[\"stop\"])\n", + " for item in task_stream.data\n", + " for step in item.get(\"startstops\", [])\n", + " if step.get(\"action\") == \"compute\"\n", + "]\n", + "\n", + "t_zero = min(start for _, start, _ in computations)\n", + "thread_ids = sorted({thread for thread, _, _ in computations})\n", + "thread_row = {thread: row for row, thread in enumerate(thread_ids)}\n", + "\n", + "plt.figure(figsize=(11, 0.7 * len(thread_ids) + 2))\n", + "for thread, start, stop in computations:\n", + " plt.barh(\n", + " thread_row[thread],\n", + " stop - start,\n", + " left=start - t_zero,\n", + " height=0.6,\n", + " color=\"tab:blue\",\n", + " edgecolor=\"white\",\n", + " )\n", + "\n", + "plt.yticks(range(len(thread_ids)), [f\"thread {i}\" for i in range(len(thread_ids))])\n", + "plt.xlabel(\"Seconds since the batch started\")\n", + "plt.ylabel(\"Execution thread\")\n", + "plt.title(f\"Task timeline: {len(computations)} tasks across {len(thread_ids)} threads\")\n", + "plt.grid(axis=\"x\", alpha=0.3)\n", + "plt.tight_layout()\n", + "plt.show()\n", + "\n", + "busy_time = sum(stop - start for _, start, stop in computations)\n", + "wall_time = max(stop for _, _, stop in computations) - t_zero\n", + "print(f\"Average threads busy: {busy_time / wall_time:.2f} of {len(thread_ids)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "2136a730", + "metadata": {}, + "source": [ + "Overlapping bars show concurrent execution. The average number of busy threads summarizes how fully the available thread pool was used during the batch." + ] + }, + { + "cell_type": "markdown", + "id": "6832be7d", + "metadata": {}, + "source": [ + "## 6. Build the training dataset\n", + "\n", + "Dask handles independent data access and preprocessing; PyTorch handles minibatches, gradients, and model optimization. The prepared arrays are small enough to assemble in notebook memory. For larger datasets, each task should write a chunked result, such as Zarr, that the training pipeline can stream from storage." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "5840f4f3", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training traces: 16\n", + "Validation traces: 4\n" + ] + } + ], + "source": [ + "records = sorted(records, key=lambda item: item[\"station\"])\n", + "X = np.stack([item[\"waveform\"] for item in records])[:, None, :]\n", + "y = np.stack([item[\"label\"] for item in records])\n", + "\n", + "order = rng.permutation(len(records))\n", + "split = int(0.8 * len(records))\n", + "train_indices, validation_indices = order[:split], order[split:]\n", + "\n", + "X_train, y_train = X[train_indices], y[train_indices]\n", + "X_validation, y_validation = X[validation_indices], y[validation_indices]\n", + "validation_stations = [records[index][\"station\"] for index in validation_indices]\n", + "\n", + "print(f\"Training traces: {len(X_train)}\")\n", + "print(f\"Validation traces: {len(X_validation)}\")" + ] + }, + { + "cell_type": "markdown", + "id": "daf26bba", + "metadata": {}, + "source": [ + "## 7. Train the CNN\n", + "\n", + "The model is a compact 1-D CNN that predicts either background or P arrival at every time sample. Padding preserves the time axis so predictions align directly with the waveform. Class weighting gives additional importance to the relatively rare P-arrival samples." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "01514da5", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Trainable parameters: 23,586\n" + ] + } + ], + "source": [ + "class PlainCNN(nn.Module):\n", + " def __init__(self, kernel_size=15, width=32):\n", + " super().__init__()\n", + " padding = kernel_size // 2\n", + " self.layers = nn.Sequential(\n", + " nn.Conv1d(1, 16, kernel_size, padding=padding),\n", + " nn.BatchNorm1d(16),\n", + " nn.ReLU(),\n", + " nn.Conv1d(16, width, kernel_size, padding=padding),\n", + " nn.BatchNorm1d(width),\n", + " nn.ReLU(),\n", + " nn.Conv1d(width, width, kernel_size, padding=padding),\n", + " nn.BatchNorm1d(width),\n", + " nn.ReLU(),\n", + " nn.Conv1d(width, 2, 1),\n", + " )\n", + "\n", + " def forward(self, waveform):\n", + " return self.layers(waveform)\n", + "\n", + "\n", + "model = PlainCNN()\n", + "print(f\"Trainable parameters: {sum(parameter.numel() for parameter in model.parameters()):,}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "867b94a1", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Training completed on cpu.\n" + ] + } + ], + "source": [ + "BATCH_SIZE, EPOCHS, LEARNING_RATE = 4, 30, 1e-3\n", + "\n", + "train_loader = DataLoader(\n", + " TensorDataset(torch.from_numpy(X_train), torch.from_numpy(y_train)),\n", + " batch_size=BATCH_SIZE,\n", + " shuffle=True,\n", + ")\n", + "validation_loader = DataLoader(\n", + " TensorDataset(torch.from_numpy(X_validation), torch.from_numpy(y_validation)),\n", + " batch_size=BATCH_SIZE,\n", + ")\n", + "\n", + "device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n", + "model = model.to(device)\n", + "positive_weight = min(30.0, (y_train.size - y_train.sum()) / y_train.sum())\n", + "criterion = nn.CrossEntropyLoss(weight=torch.tensor([1.0, positive_weight], device=device))\n", + "optimizer = torch.optim.Adam(model.parameters(), lr=LEARNING_RATE)\n", + "\n", + "train_losses, validation_losses = [], []\n", + "for epoch in range(EPOCHS):\n", + " model.train()\n", + " train_loss = 0.0\n", + " for waveforms, labels in train_loader:\n", + " waveforms, labels = waveforms.to(device), labels.to(device)\n", + " optimizer.zero_grad()\n", + " loss = criterion(model(waveforms), labels)\n", + " loss.backward()\n", + " optimizer.step()\n", + " train_loss += loss.item() * len(waveforms)\n", + "\n", + " model.eval()\n", + " validation_loss = 0.0\n", + " with torch.no_grad():\n", + " for waveforms, labels in validation_loader:\n", + " waveforms, labels = waveforms.to(device), labels.to(device)\n", + " validation_loss += criterion(model(waveforms), labels).item() * len(waveforms)\n", + "\n", + " train_losses.append(train_loss / len(X_train))\n", + " validation_losses.append(validation_loss / len(X_validation))\n", + "\n", + "print(f\"Training completed on {device}.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "28e06f81", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "epochs = np.arange(1, EPOCHS + 1)\n", + "plt.figure(figsize=(7, 4))\n", + "plt.plot(epochs, train_losses, label=\"training\")\n", + "plt.plot(epochs, validation_losses, label=\"validation\")\n", + "plt.xlabel(\"Epoch\")\n", + "plt.ylabel(\"Weighted cross-entropy loss\")\n", + "plt.title(\"CNN learning curves\")\n", + "plt.grid(alpha=0.3)\n", + "plt.legend()\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "906618cc", + "metadata": {}, + "source": [ + "## 8. Evaluate predictions\n", + "\n", + "For each validation waveform, the predicted P arrival is the sample with the highest P probability. Absolute timing error provides an intuitive summary of the model's predictions on this small demonstration dataset." + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "fb2ef49a", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Median absolute error: 0.05 s\n", + "Picks within 0.5 s: 4 of 4\n" + ] + } + ], + "source": [ + "def label_centres(labels):\n", + " return np.array([np.flatnonzero(label).mean() for label in labels])\n", + "\n", + "\n", + "model.eval()\n", + "with torch.no_grad():\n", + " probabilities = torch.softmax(model(torch.from_numpy(X_validation).to(device)), dim=1)[:, 1]\n", + "\n", + "p_probability = probabilities.cpu().numpy()\n", + "predicted_samples = p_probability.argmax(axis=1)\n", + "true_samples = label_centres(y_validation)\n", + "errors = np.abs(predicted_samples - true_samples) / TARGET_SAMPLING_RATE\n", + "\n", + "print(f\"Median absolute error: {np.median(errors):.2f} s\")\n", + "print(f\"Picks within 0.5 s: {(errors <= 0.5).sum()} of {len(errors)}\")" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "0ff31cb3", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "example_count = min(3, len(X_validation))\n", + "time_axis = np.arange(X_validation.shape[-1]) / TARGET_SAMPLING_RATE - PRE_TIME\n", + "fig, axes = plt.subplots(example_count, 2, figsize=(13, 3 * example_count), squeeze=False)\n", + "\n", + "for index in range(example_count):\n", + " true_time = time_axis[round(true_samples[index])]\n", + " predicted_time = time_axis[predicted_samples[index]]\n", + "\n", + " axes[index, 0].plot(time_axis, X_validation[index, 0], color=\"black\", lw=0.7)\n", + " axes[index, 0].axvline(predicted_time, color=\"tab:red\", label=\"CNN pick\")\n", + " axes[index, 0].axvline(true_time, color=\"tab:green\", ls=\"--\", label=\"PhaseNet label\")\n", + " axes[index, 0].set_title(f\"{validation_stations[index]} waveform\")\n", + " axes[index, 0].set_ylabel(\"Standardized amplitude\")\n", + " axes[index, 0].legend()\n", + "\n", + " axes[index, 1].plot(time_axis, p_probability[index], color=\"tab:blue\")\n", + " axes[index, 1].axvline(predicted_time, color=\"tab:red\")\n", + " axes[index, 1].axvline(true_time, color=\"tab:green\", ls=\"--\")\n", + " axes[index, 1].set_ylim(0, 1)\n", + " axes[index, 1].set_title(f\"{validation_stations[index]} P probability\")\n", + " axes[index, 1].set_ylabel(\"P probability\")\n", + "\n", + "for axis in axes[-1]:\n", + " axis.set_xlabel(\"Seconds relative to origin time\")\n", + "\n", + "plt.tight_layout()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "e046e797", + "metadata": {}, + "source": [ + "## 9. Conclusion\n", + "\n", + "This notebook demonstrated an end-to-end workflow from remote waveform access to neural-network training:\n", + "\n", + "- Dask Futures represented independent station requests.\n", + "- Four execution threads overlapped waveform downloads and preprocessing.\n", + "- The task timeline made concurrency visible.\n", + "- Completed results were assembled into PyTorch tensors.\n", + "- A compact CNN learned sample-wise P-arrival predictions from the streamed data.\n", + "\n", + "The model is intentionally small and uses one earthquake with PhaseNet-generated labels, so its validation metrics are illustrative. A production workflow should include many earthquakes, reviewed labels, event-level train/validation splits, and persistent chunked storage. Those extensions increase the data-preparation workload, which is where Dask's parallel streaming approach becomes most valuable." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "75e61e35", + "metadata": {}, + "outputs": [], + "source": [ + "client.close()\n", + "cluster.close()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}