10x Xenium
Human lung
GSM9945415
silver Interactive viewer small cell lung carcinoma No linked publication

print(sdata)
SpatialData object
├── Labels
│ ├── 'cell_labels': DataTree[yx] (30407, 25111), (15203, 12555), (7601, 6277), (3800, 3138), (1900, 1569)
│ └── 'nucleus_labels': DataTree[yx] (30361, 25107), (15180, 12553), (7590, 6276), (3795, 3138), (1897, 1569)
├── Points
│ └── 'transcripts': DataFrame with shape: (117970170, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (205397, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (205397, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (207762, 2) (2D shapes)
└── Tables
└── 'table': AnnData (205397, 5001)
with coordinate systems:
▸ 'global', with elements:
cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("vilXSJe5wIKPx6qE0000")
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("vilXSJe5wIKPx6qE") # 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 vilXSJe5wIKPx6qE0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/vilXSJe5wIKPx6qE
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid vilXSJe5wIKPx6qE License: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Condition
- small cell lung carcinoma
- Modality
- RNA
- Observations (cells)
- 205,397
- Transcripts
- 117,970,170
- Tier
- silver
- Size
- 2.7 GB
- Sample ID
- GSM9945415
- License
- NCBI GEO policy
- Published
- Aug 18, 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