Visium
Human lung
GSM8187472
silver Interactive viewer H&E small cell lung carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'GSM8187472_SCLC9_lowres_image': DataArray[cyx] (3, 600, 569)
├── Shapes
│ └── 'GSM8187472_SCLC9': GeoDataFrame shape: (3520, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3520, 33542)
with coordinate systems:
▸ 'GSM8187472_SCLC9', with elements:
GSM8187472_SCLC9_lowres_image (Images), GSM8187472_SCLC9 (Shapes)
▸ 'GSM8187472_SCLC9_downscaled_hires', with elements:
GSM8187472_SCLC9 (Shapes)
▸ 'GSM8187472_SCLC9_downscaled_lowres', with elements:
GSM8187472_SCLC9_lowres_image (Images), GSM8187472_SCLC9 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("xXBESrv07vV001hW0000")
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("xXBESrv07vV001hW") # 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 xXBESrv07vV001hW0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/xXBESrv07vV001hW
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid xXBESrv07vV001hWLicense: NCBI GEO policy
Part of collection
Spatial transcriptomic sequencing data of human small cell lung cancer→ 4 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- lung
- Condition
- small cell lung carcinoma
- Modality
- RNA
- Observations (spots)
- 3,520
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 569 × 600 px
- mpp
- 11.969 µm/px
- Size
- 71.2 MB
- Sample ID
- GSM8187472
- License
- NCBI GEO policy
- Published
- Apr 2, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB