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Changed to include just the datasets used in the curated datset#4

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ajayjagan2511 merged 1 commit into
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Jul 13, 2026
Merged

Changed to include just the datasets used in the curated datset#4
ajayjagan2511 merged 1 commit into
mainfrom
pages

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Copilot AI review requested due to automatic review settings July 13, 2026 20:51
@ajayjagan2511
ajayjagan2511 merged commit cbdd9c9 into main Jul 13, 2026

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Pull request overview

Updates the RADEO-Net datasets page to load and display only the datasets from the curated BioVFM spreadsheet, while refreshing the UI styling and adding richer visual indicators (badges, heatmap, animated header background).

Changes:

  • Switched the XLSX source to BioVFM Datasets.xlsx, reading from the Website sheet and mapping BioVFM-specific columns (notably Link and Modality).
  • Added animated floating header images and updated typography/styling (Inter font support, refreshed table/header styles).
  • Improved dataset presentation with hashed badge colors (Body Part / Anatomical Area) and a dataset-size heatmap; updated modality parsing to support ; delimiters.

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Comment thread radeonet.html
Comment on lines 715 to +719
<span
key={i}
className={`inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-semibold border transition-all duration-150 cursor-help ${badgeClass}`}
className={`inline-flex items-center px-2.5 py-0.5 rounded-full text-xs font-semibold border ${badgeClass}`}
/*
// Broad modality hover preview commented out for future use:
Comment thread radeonet.html
Comment on lines +702 to +704
{row.modality.split(/[;,]/).map((mod, i) => {
const m = mod.trim();
// Revert to original modality rendering style for standard Modality column values:
Comment thread radeonet.html
Comment on lines +260 to +265
const n = parseFloat(String(sizeStr).replace(/,/g, ''));
if (isNaN(n) || n <= 0) return { background: '#f1f5f9', color: '#475569', border: '1px solid rgba(203,213,225,0.6)' };
const logN = Math.log10(n);
const logMin = Math.log10(Math.max(1, Math.min(...allSizes.filter(x => x > 0))));
const logMax = Math.log10(Math.max(...allSizes.filter(x => x > 0)));
const t = logMin === logMax ? 0.5 : Math.max(0, Math.min(1, (logN - logMin) / (logMax - logMin)));
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2 participants