Visium
Human brain
GSM7024964
bronze Interactive viewer H&E embryonal tumor with multilayered rosettes Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'GSM7024964_KK22-H-224_hires_image': DataArray[cyx] (3, 2000, 1948)
├── Shapes
│ └── 'GSM7024964_KK22-H-224': GeoDataFrame shape: (848, 2) (2D shapes)
└── Tables
└── 'table': AnnData (848, 17943)
with coordinate systems:
▸ 'GSM7024964_KK22-H-224', with elements:
GSM7024964_KK22-H-224_hires_image (Images), GSM7024964_KK22-H-224 (Shapes)
▸ 'GSM7024964_KK22-H-224_downscaled_hires', with elements:
GSM7024964_KK22-H-224_hires_image (Images), GSM7024964_KK22-H-224 (Shapes)
▸ 'GSM7024964_KK22-H-224_downscaled_lowres', with elements:
GSM7024964_KK22-H-224 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("8qYBJCfiuhckmjY30000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) Python · lamindb
Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("8qYBJCfiuhckmjY3") # stem uid: Lamin resolves it to the latest version
sdata = artifact.load() # cache, then load into memory
group = artifact.open() # stream without downloading
path = artifact.cache() # sync into the local cache, returns the path Shell
# sddb client: download the .zarr into data/
sddb-cli download 8qYBJCfiuhckmjY30000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/8qYBJCfiuhckmjY3
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 8qYBJCfiuhckmjY3License: NCBI GEO policy
Part of collection
ETMR stem-like state and chemo-resistance are supported by perivascular cells at single-cell resolution (spatial transcriptomics subset)→ 3 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- brain
- Condition
- embryonal tumor with multilayered rosettes
- Modality
- RNA
- Observations (spots)
- 848
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 1,948 × 2,000 px
- mpp
- 3.448 µm/px
- Size
- 22.0 MB
- Sample ID
- GSM7024964
- License
- NCBI GEO policy
- Published
- Apr 16, 2025
Cite this dataset
doi.org/10.1038/s41467-025-60442-9 ↗ BibTeX
@article{geo:GSM7024964,
doi = {10.1038/s41467-025-60442-9},
title = {GSM7024964},
year = {2025}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB