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) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("xXBESrv07vV001hW") # 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 Load from the CLI
# one-shot: 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 xXBESrv07vV001hW Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["xXBESrv07vV001hW0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart 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
- 3,520
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 569 × 600 px
- mpp
- 11.969 µm/px
- Size
- 68 MB
- Sample ID
- GSM8187472
- License
- unknown
- Published
- Apr 2, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB