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Human Spatial Transcriptomics Multi-organ Multi-platform Collection
This dataset provides a cleaned human spatial transcriptomics collection in .h5ad format. The released archive, Homo_sapiens_h5ad_flat.zip, contains 1,155 .h5ad files gathered into a flat archive for convenient download and reuse.
Dataset Summary
The collection covers Homo sapiens spatial transcriptomics data across multiple organs and experimental platforms. According to the accompanying internal statistics report, the human subset contains 28,050,110 spatial spots across 1,216 files/slices in the source statistics. The uploaded archive contains the cleaned .h5ad subset as 1,155 files.
Platforms
| Platform | Spots | Percentage | Files |
|---|---|---|---|
| MERFISH | 10,334,462 | 36.84% | 19 |
| VisiumHD | 8,686,473 | 30.97% | 15 |
| Xenium | 4,704,330 | 16.77% | 18 |
| 10X Visium | 3,610,266 | 12.87% | 1,129 |
| Slide-seqV2 | 714,579 | 2.55% | 35 |
Organ Coverage
The dataset spans a broad set of human tissues and anatomical categories, including unknown/unannotated samples, uterus, colon, lung, liver, prostate, tonsil, ovary, skin, breast, pancreas, heart, lymph node, kidney, brain, thymus, bone marrow, spinal cord, gland, embryo, intestine, placenta, oral mucosa, spleen, blood vessels, head and neck, cervix, stomach, tumor, synovial tissue, muscle, and bladder.
Top organ categories by spots include:
| Organ | Spots | Percentage | Files |
|---|---|---|---|
| Unknown | 8,733,674 | 31.14% | 30 |
| Uterus | 2,370,993 | 8.45% | 15 |
| Colon | 2,307,710 | 8.23% | 45 |
| Lung | 2,281,167 | 8.13% | 106 |
| Liver | 1,825,259 | 6.51% | 87 |
| Prostate | 1,780,803 | 6.35% | 34 |
| Tonsil | 1,376,446 | 4.91% | 2 |
| Ovary | 1,216,193 | 4.34% | 43 |
| Skin | 1,172,313 | 4.18% | 166 |
| Breast | 979,761 | 3.49% | 68 |
Files
Homo_sapiens_h5ad_flat.zip: flat zip archive containing 1,155 cleaned human.h5adfiles.
Notes
The uploaded archive includes only the cleaned dataset files. Summary statistics were used to describe the dataset card but are not uploaded as separate files.
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