Upload croissant.json with huggingface_hub
Browse files- croissant.json +242 -0
croissant.json
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| 1 |
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{
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| 2 |
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"@context": {
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| 3 |
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"@language": "en",
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| 4 |
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"@vocab": "http://schema.org/",
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| 5 |
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"sc": "http://schema.org/",
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| 6 |
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"cr": "http://mlcommons.org/croissant/",
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| 7 |
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"rai": "http://mlcommons.org/croissant/RAI/",
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| 8 |
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"dct": "http://purl.org/dc/terms/",
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| 9 |
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"annotation": "cr:annotation",
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| 10 |
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"conformsTo": "dct:conformsTo",
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| 11 |
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"containedIn": "cr:containedIn",
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| 12 |
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"data": {"@id": "cr:data", "@type": "@json"},
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| 13 |
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"dataType": {"@id": "cr:dataType", "@type": "@vocab"},
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| 14 |
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"field": "cr:field",
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| 15 |
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"fileObject": "cr:fileObject",
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| 16 |
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"fileSet": "cr:fileSet",
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| 17 |
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"recordSet": "cr:recordSet",
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| 18 |
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"source": "cr:source",
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| 19 |
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"subField": "cr:subField"
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| 20 |
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},
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| 21 |
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"@type": "sc:Dataset",
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| 22 |
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"name": "scShapeBench",
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| 23 |
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"description": "A benchmark dataset for single-cell shape analysis containing 2,547,517 cells across 105 real-world single-cell RNA-seq datasets stored in AnnData (.h5ad) format with precomputed PCA embeddings and Leiden clustering.",
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| 24 |
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"url": "https://huggingface.co/datasets/scShape-Benchmark/scShapeBench",
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| 25 |
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"conformsTo": "http://mlcommons.org/croissant/1.1",
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| 26 |
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"datePublished": "2026-05-05",
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| 27 |
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"keywords": ["single-cell", "RNA-seq", "scRNA-seq", "h5ad", "AnnData", "genomics", "benchmark", "shape-analysis"],
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| 28 |
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| 29 |
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"distribution": [
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| 30 |
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{
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| 31 |
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"@type": "cr:FileSet",
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| 32 |
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"@id": "h5ad-files",
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| 33 |
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"name": "h5ad-files",
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| 34 |
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"description": "AnnData files containing single-cell gene expression data with PCA embeddings and Leiden clustering",
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| 35 |
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"containedIn": {"@id": "data-directory"},
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| 36 |
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"includes": "SCD-*.h5ad",
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| 37 |
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"encodingFormat": "application/x-hdf5"
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| 38 |
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},
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| 39 |
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{
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| 40 |
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"@type": "cr:FileObject",
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| 41 |
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"@id": "data-directory",
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| 42 |
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"name": "data-directory",
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| 43 |
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"description": "Directory containing all AnnData data files",
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| 44 |
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"contentUrl": "data/",
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| 45 |
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"encodingFormat": "application/x-directory"
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| 46 |
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},
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| 47 |
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{
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| 48 |
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"@type": "cr:FileObject",
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| 49 |
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"@id": "cell-metadata-csv",
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| 50 |
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"name": "cell_metadata.csv",
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| 51 |
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"description": "Combined cell-level metadata from all datasets: number of genes detected, Leiden cluster assignment, and source file identifier",
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| 52 |
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"contentUrl": "cell_metadata.csv",
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| 53 |
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"encodingFormat": "text/csv"
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| 54 |
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},
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| 55 |
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{
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| 56 |
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"@type": "cr:FileObject",
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| 57 |
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"@id": "gene-metadata-csv",
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| 58 |
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"name": "gene_metadata.csv",
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| 59 |
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"description": "Combined gene-level metadata from all datasets: gene IDs, feature types, dispersion statistics, and highly-variable flags",
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| 60 |
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"contentUrl": "gene_metadata.csv",
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| 61 |
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"encodingFormat": "text/csv"
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| 62 |
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},
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| 63 |
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{
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| 64 |
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"@type": "cr:FileObject",
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| 65 |
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"@id": "dataset-index-csv",
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| 66 |
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"name": "dataset_index.csv",
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| 67 |
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"description": "Per-file summary statistics: number of cells, number of genes, and file size",
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| 68 |
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"contentUrl": "dataset_index.csv",
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| 69 |
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"encodingFormat": "text/csv"
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| 70 |
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}
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| 71 |
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],
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| 72 |
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| 73 |
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"recordSet": [
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| 74 |
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{
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| 75 |
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"@type": "cr:RecordSet",
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| 76 |
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"name": "dataset_index",
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| 77 |
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"description": "Summary statistics for each of the 105 single-cell datasets in the benchmark",
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| 78 |
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"field": [
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| 79 |
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{
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| 80 |
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"@type": "cr:Field",
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| 81 |
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"name": "file_id",
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| 82 |
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"description": "Dataset identifier (e.g., SCD-0001)",
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| 83 |
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"dataType": "sc:Text",
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| 84 |
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"source": {
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| 85 |
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"fileObject": {"@id": "dataset-index-csv"},
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| 86 |
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"extract": {"column": "file_id"}
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| 87 |
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}
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| 88 |
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},
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| 89 |
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{
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| 90 |
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"@type": "cr:Field",
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| 91 |
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"name": "filename",
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| 92 |
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"description": "Filename of the h5ad file",
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| 93 |
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"dataType": "sc:Text",
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| 94 |
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"source": {
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| 95 |
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"fileObject": {"@id": "dataset-index-csv"},
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| 96 |
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"extract": {"column": "filename"}
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| 97 |
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}
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| 98 |
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},
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| 99 |
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{
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| 100 |
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"@type": "cr:Field",
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| 101 |
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"name": "n_cells",
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| 102 |
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"description": "Number of cells in the dataset",
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| 103 |
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"dataType": "sc:Integer",
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| 104 |
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"source": {
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| 105 |
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"fileObject": {"@id": "dataset-index-csv"},
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| 106 |
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"extract": {"column": "n_cells"}
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| 107 |
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}
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| 108 |
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},
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| 109 |
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{
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| 110 |
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"@type": "cr:Field",
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| 111 |
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"name": "n_genes",
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| 112 |
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"description": "Number of genes in the dataset",
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| 113 |
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"dataType": "sc:Integer",
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| 114 |
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"source": {
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| 115 |
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"fileObject": {"@id": "dataset-index-csv"},
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| 116 |
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"extract": {"column": "n_genes"}
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| 117 |
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}
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| 118 |
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},
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| 119 |
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{
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| 120 |
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"@type": "cr:Field",
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| 121 |
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"name": "file_size_bytes",
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| 122 |
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"description": "File size in bytes",
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| 123 |
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"dataType": "sc:Integer",
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| 124 |
+
"source": {
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| 125 |
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"fileObject": {"@id": "dataset-index-csv"},
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| 126 |
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"extract": {"column": "file_size_bytes"}
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| 127 |
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}
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| 128 |
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}
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| 129 |
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]
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| 130 |
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},
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| 131 |
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{
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| 132 |
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"@type": "cr:RecordSet",
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| 133 |
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"name": "cell_metadata",
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| 134 |
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"description": "Cell-level metadata across all 2,547,517 cells in the benchmark",
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| 135 |
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"field": [
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| 136 |
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{
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| 137 |
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"@type": "cr:Field",
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| 138 |
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"name": "cell_barcode",
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| 139 |
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"description": "Unique cell barcode identifier",
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| 140 |
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"dataType": "sc:Text",
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| 141 |
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"source": {
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| 142 |
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"fileObject": {"@id": "cell-metadata-csv"},
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| 143 |
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"extract": {"column": "cell_barcode"}
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| 144 |
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}
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| 145 |
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},
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| 146 |
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{
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| 147 |
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"@type": "cr:Field",
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| 148 |
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"name": "n_genes",
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| 149 |
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"description": "Number of genes detected in the cell",
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| 150 |
+
"dataType": "sc:Integer",
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| 151 |
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"source": {
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| 152 |
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"fileObject": {"@id": "cell-metadata-csv"},
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| 153 |
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"extract": {"column": "n_genes"}
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| 154 |
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}
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| 155 |
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},
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| 156 |
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{
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| 157 |
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"@type": "cr:Field",
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| 158 |
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"name": "file_id",
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| 159 |
+
"description": "Source dataset identifier (foreign key to dataset_index.file_id)",
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| 160 |
+
"dataType": "sc:Text",
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| 161 |
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"source": {
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| 162 |
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"fileObject": {"@id": "cell-metadata-csv"},
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| 163 |
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"extract": {"column": "file_id"}
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| 164 |
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},
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| 165 |
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"references": {
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| 166 |
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"field": {"@id": "dataset_index/file_id"}
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| 167 |
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}
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| 168 |
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}
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| 169 |
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]
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| 170 |
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},
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| 171 |
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{
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| 172 |
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"@type": "cr:RecordSet",
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| 173 |
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"name": "gene_metadata",
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| 174 |
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"description": "Gene-level metadata across all datasets including IDs, dispersion statistics, and highly-variable flags",
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| 175 |
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"field": [
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| 176 |
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{
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| 177 |
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"@type": "cr:Field",
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| 178 |
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"name": "gene_index",
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| 179 |
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"description": "Gene identifier (Ensembl ID or symbol)",
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| 180 |
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"dataType": "sc:Text",
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| 181 |
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"source": {
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| 182 |
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"fileObject": {"@id": "gene-metadata-csv"},
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| 183 |
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"extract": {"column": "gene_index"}
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| 184 |
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}
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| 185 |
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},
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| 186 |
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{
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| 187 |
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"@type": "cr:Field",
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| 188 |
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"name": "gene_ids",
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| 189 |
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"description": "Ensembl gene identifier",
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| 190 |
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"dataType": "sc:Text",
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| 191 |
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"source": {
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| 192 |
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"fileObject": {"@id": "gene-metadata-csv"},
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| 193 |
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"extract": {"column": "gene_ids"}
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| 194 |
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}
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| 195 |
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},
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| 196 |
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{
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| 197 |
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"@type": "cr:Field",
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| 198 |
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"name": "highly_variable",
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| 199 |
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"description": "Whether the gene is flagged as highly variable",
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| 200 |
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"dataType": "sc:Boolean",
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| 201 |
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"source": {
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| 202 |
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"fileObject": {"@id": "gene-metadata-csv"},
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| 203 |
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"extract": {"column": "highly_variable"}
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| 204 |
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}
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| 205 |
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},
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| 206 |
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{
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| 207 |
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"@type": "cr:Field",
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| 208 |
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"name": "means",
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| 209 |
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"description": "Mean expression level",
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| 210 |
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"dataType": "sc:Float",
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| 211 |
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"source": {
|
| 212 |
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"fileObject": {"@id": "gene-metadata-csv"},
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| 213 |
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"extract": {"column": "means"}
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| 214 |
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}
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| 215 |
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},
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| 216 |
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{
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| 217 |
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"@type": "cr:Field",
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| 218 |
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"name": "n_cells",
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| 219 |
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"description": "Number of cells expressing this gene",
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| 220 |
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"dataType": "sc:Integer",
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| 221 |
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"source": {
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| 222 |
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"fileObject": {"@id": "gene-metadata-csv"},
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| 223 |
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"extract": {"column": "n_cells"}
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| 224 |
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}
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| 225 |
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},
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| 226 |
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{
|
| 227 |
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"@type": "cr:Field",
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| 228 |
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"name": "file_id",
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| 229 |
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"description": "Source dataset identifier (foreign key to dataset_index.file_id)",
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| 230 |
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"dataType": "sc:Text",
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| 231 |
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"source": {
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| 232 |
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"fileObject": {"@id": "gene-metadata-csv"},
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| 233 |
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"extract": {"column": "file_id"}
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| 234 |
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},
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| 235 |
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"references": {
|
| 236 |
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"field": {"@id": "dataset_index/file_id"}
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| 237 |
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}
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| 238 |
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}
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| 239 |
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]
|
| 240 |
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}
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| 241 |
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]
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| 242 |
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}
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