Shaow/dlpfc_visium_4slice

# Human DLPFC Visium · 4 adjacent slices

Curated, ready-to-load spatial transcriptomics dataset.

## Source

• —Paper: Maynard et al., Nat. Neurosci. 2021
• —Canonical download: spatialLIBD R package · slices 151673–151676

## Scale

## Files

• —h5ad/adata_1.h5ad
• —h5ad/adata_2.h5ad
• —h5ad/adata_3.h5ad
• —h5ad/adata_4.h5ad

Each .h5ad follows the AnnData spec:

• —.X — gene expression matrix (cells × genes), sparse where natural
• —.obs — per-cell annotations (see "Metadata" below)
• —.obsm['spatial'] — (n_cells, 2) float32 spatial coordinates
• —(where present) .layers['count'] — raw integer counts
• —(where present) .obsm['spatial3d'] — (n_cells, 3) float32 (x, y, z=section)

## Metadata (obs columns)

layer, in_tissue, array_row, array_col

## Notes

4 of the 12-slice Maynard atlas (slices 151673–151676), preprocessed as ready-to-load AnnData. obs['layer'] carries the manual L1–L6 + WM annotation.

## Usage

import scanpy as sc
from huggingface_hub import snapshot_download
d = snapshot_download(repo_id='Shaow/dlpfc_visium_4slice', repo_type='dataset')
adata_st_list = [sc.read_h5ad(f'{d}/h5ad/adata_{i}.h5ad') for i in range(1, 5)]

## Citation

If you use this dataset, please cite the source paper above.

## License

MIT for the curation/preparation. Underlying data inherits the license of the upstream publication (typically CC-BY-4.0); please see the source paper.