Testis / Placenta / Brain Development — single-cell & spatial (multi-omics)
Curated public single-cell / single-nucleus and spatial transcriptomics datasets for human (and one mouse) testis, placenta, and brain (development · Parkinson's · Alzheimer's · normal). Used as the raw input for cross-tissue cancer-testis-antigen (CTA) analysis.
⚠️ Public data, mirrored for research. Every file was downloaded from public, open-access sources (CZ CELLxGENE Discover; NCBI GEO supplementary). No controlled-access data, no PII. Each dataset retains its ORIGINAL source license — cite the original study and follow its terms.
At a glance
- Files: 30 data files (+
README.md,_manifest.csv,.gitattributes) - Total size: 37.67 GB (35.08 GiB)
- Integrity: every large file is Git-LFS tracked with a sha256 checksum (HF verifies on download); 0 empty files.
- Authoritative per-file metadata:
_manifest.csv(one row per file).
By tissue
| tissue | files | size |
|---|---|---|
| brain | 10 | 18.58 GB |
| placenta | 12 | 10.40 GB |
| testis | 8 | 8.69 GB |
By modality
| modality | files | size |
|---|---|---|
| scRNA-seq | 14 | 24.59 GB |
| snRNA-seq | 1 | 4.99 GB |
| spatial | 15 | 8.09 GB |
Full file manifest
| file | tissue | modality | condition | accession | approx cells | size |
|---|---|---|---|---|---|---|
brain/scRNA_AD/AD_brain_vascular_65k.h5ad |
brain | scRNA-seq | Alzheimer's disease (AD) | CZ CELLxGENE | ~65,000 | 628 MB |
brain/scRNA_AD/AD_tangle_bearing_neurons_96k.h5ad |
brain | scRNA-seq | Alzheimer's disease (AD) | CZ CELLxGENE | ~96,000 | 1256 MB |
brain/scRNA_AD/SEA-AD_AllCells_snRNA_432k.h5ad |
brain | snRNA-seq | Alzheimer's disease (AD) | CZ CELLxGENE | ~432,000 | 4994 MB |
brain/scRNA_PD/PD_Astrocytes_33k.h5ad |
brain | scRNA-seq | Parkinson's disease (PD) | CZ CELLxGENE | ~33,000 | 233 MB |
brain/scRNA_PD/PD_NonDA_Neurons_91k.h5ad |
brain | scRNA-seq | Parkinson's disease (PD) | CZ CELLxGENE | ~91,000 | 1192 MB |
brain/scRNA_PD/PD_Oligodendrocytes_179k.h5ad |
brain | scRNA-seq | Parkinson's disease (PD) | CZ CELLxGENE | ~179,000 | 1084 MB |
brain/scRNA_development/Dev_prenatal_postnatal_cortex_709k.h5ad |
brain | scRNA-seq | development | CZ CELLxGENE | ~709,000 | 5976 MB |
brain/spatial_AD/GSE308007_AD_entorhinal_spatial_sc.tar |
brain | spatial | Alzheimer's disease (AD) | GSE308007 | — | 2099 MB |
brain/spatial_PD/GSE253975_PD_substantia_nigra_Visium_ST.tar |
brain | spatial | Parkinson's disease (PD) | GSE253975 | — | 21 MB |
brain/spatial_development/GSE277032_fetal_midbrain_spatiotemporal.tar |
brain | spatial | development | GSE277032 | — | 1094 MB |
placenta_development/scRNA/All_cell_states_maternal_fetal.h5ad |
placenta | scRNA-seq | development | CZ CELLxGENE | — | 3603 MB |
placenta_development/scRNA/Placenta_Infection_Carnegie9-23.h5ad |
placenta | scRNA-seq | infection | CZ CELLxGENE | — | 5023 MB |
placenta_development/scRNA/Trophoblast_Organoids.h5ad |
placenta | scRNA-seq | normal/development | CZ CELLxGENE | — | 1082 MB |
placenta_development/spatial_early_visium/PS1_WS_PLA_S9101764_wk9.h5ad |
placenta | spatial | normal/development | CZ CELLxGENE | — | 43 MB |
placenta_development/spatial_early_visium/PS2_WS_PLA_S9101765_wk9.h5ad |
placenta | spatial | normal/development | CZ CELLxGENE | — | 43 MB |
placenta_development/spatial_early_visium/PS3_WS_PLA_S9101766_wk9.h5ad |
placenta | spatial | normal/development | CZ CELLxGENE | — | 35 MB |
placenta_development/spatial_early_visium/PS4_WS_PLA_S9101767_wk9.h5ad |
placenta | spatial | normal/development | CZ CELLxGENE | — | 45 MB |
placenta_development/spatial_early_visium/PS5_Pla_Camb9518737_wk9.h5ad |
placenta | spatial | normal/development | CZ CELLxGENE | — | 41 MB |
placenta_development/spatial_early_visium/PS6_Pla_HDBR_Carnegie18.h5ad |
placenta | spatial | normal/development | CZ CELLxGENE | — | 26 MB |
placenta_development/spatial_early_visium/PS7_WS_PLA_S9101769_Carnegie23.h5ad |
placenta | spatial | normal/development | CZ CELLxGENE | — | 38 MB |
placenta_development/spatial_early_visium/PS8_WS_PLA_S9101770_Carnegie23.h5ad |
placenta | spatial | normal/development | CZ CELLxGENE | — | 39 MB |
placenta_development/spatial_term_visium/GSE222987_term_placenta_Visium.tar |
placenta | spatial | normal/development | GSE222987 | — | 387 MB |
testis_development/scRNA/Human_Germ_Cells_PGC.h5ad |
testis | scRNA-seq | normal/development | CZ CELLxGENE | — | 197 MB |
testis_development/scRNA/Human_Male_gonad.h5ad |
testis | scRNA-seq | normal/development | CZ CELLxGENE | — | 1302 MB |
testis_development/scRNA/Human_Somatic_Lineage.h5ad |
testis | scRNA-seq | normal/development | CZ CELLxGENE | — | 2245 MB |
testis_development/scRNA/Human_fetal_gonad_wk11-16.h5ad |
testis | scRNA-seq | development | CZ CELLxGENE | — | 380 MB |
testis_development/scRNA/TabulaSapiens_Testis_adult.h5ad |
testis | scRNA-seq | normal/development | CZ CELLxGENE | — | 385 MB |
testis_development/spatial/Chen2021_human_mouse_testis_SlideseqV2.zip |
testis | spatial | normal/development | — | — | 225 MB |
testis_development/spatial/GSE244586_mouse_testis_spatial.tar |
testis | spatial | normal/development | GSE244586 | — | 4 MB |
testis_development/spatial/GSE307496_bovine_testis_Stereoseq.tar |
testis | spatial | normal/development | GSE307496 | — | 3946 MB |
approx cells is parsed from the filename where the author encoded it (e.g. …_432k); spatial .tar
bundles contain per-spot/segment matrices rather than a single cell count.
Provenance
- CZ CELLxGENE Discover — analysis-ready
.h5ad(testis germ/somatic, placenta trophoblast & maternal–fetal interface, developing & diseased brain). - NCBI GEO supplementary — spatial bundles (
.tar): Visium / Slide-seq / Stereo-seq / GeoMx DSP. Accessions are embedded in the filenames (columnaccessionof_manifest.csv).
Each dataset retains the license of its source repository / original publication.
How to use
from huggingface_hub import hf_hub_download
import anndata as ad
p = hf_hub_download("wei82/omics-dev-data", repo_type="dataset",
filename="brain/scRNA_PD/PD_Astrocytes_33k.h5ad")
adata = ad.read_h5ad(p, backed="r") # backed='r' = read metadata without loading into RAM
print(adata)
Spatial .tar files: download, tar -xf, then read the enclosed matrices (Visium filtered_feature_bc_matrix,
Slide-seq beads, Stereo-seq bins, or GeoMx .dcc/PKC) with scanpy / squidpy.
Finding / matching analyses
Analyses derived from this data are recorded in the matching private analysis repo
(wei82/omics-dev-results) keyed by dataset id — so any result maps back to the exact file here.
Disclaimer
Research convenience mirror; not affiliated with the original data providers. Verify each dataset's original license before reuse or redistribution.
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