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_quarto.yml
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54 lines (46 loc) · 1.39 KB
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project:
type: book
book:
title: "Scalable and Computationally Reproducible Approaches to Arctic Research"
doi: 10.18739/A2NK3670P
author: "Matthew B. Jones, S. Jeanette Clark, Jim Regetz, Rushiraj Nenuji, Nicole Greco, Angie Garcia, and Justin Kadi"
date: "April 7, 2025"
issued: 2025
reader-mode: false
sidebar:
title: "Course Materials"
style: "floating"
search: false
tools:
- icon: house-door-fill
href: https://arcticdata.io
- icon: twitter
href: https://twitter.com/arcticdatactr
- icon: github
href: https://github.com/NCEAS/scalable-computing-course
chapters:
- index.qmd
- sections/adc-intro.qmd
- sections/remote-computing.qmd
- sections/python-intro.qmd
- sections/parallel-programming.qmd
- sections/data-structures-netcdf.qmd
- sections/parallel-with-dask.qmd
- sections/group-project-1.qmd
- sections/data-ethics.qmd
- sections/geopandas.qmd
- sections/parquet-arrow.qmd
- sections/group-project-2.qmd
- sections/software-design-1.qmd
- sections/adc-data-publishing.qmd
- sections/zarr.qmd
- sections/docker-containers.qmd
- sections/software-design-2.qmd
- sections/cloud-scale-data.qmd
- sections/reproducibility-containers.qmd
- sections/docker-hpc-cloud.qmd
bibliography: references.bib
format:
html:
theme: cosmo
css: styles.css