10x Xenium
Mouse stomach
GSM9157704
silver Interactive viewer diffuse gastric adenocarcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 30698, 37014), (1, 15349, 18507), (1, 7674, 9253), (1, 3837, 4626), (1, 1918, 2313)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (30698, 36608), (15349, 18304), (7674, 9152), (3837, 4576), (1918, 2288)
│ └── 'nucleus_labels': DataTree[yx] (30675, 36565), (15337, 18282), (7668, 9141), (3834, 4570), (1917, 2285)
├── Points
│ └── 'transcripts': DataFrame with shape: (71670637, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (255744, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (255744, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (255744, 2) (2D shapes)
└── Tables
└── 'table': AnnData (255744, 479)
with coordinate systems:
▸ 'global', with elements:
morphology_mip (Images), cell_labels (Labels), nucleus_labels (Labels), transcripts (Points), cell_boundaries (Shapes), cell_circles (Shapes), nucleus_boundaries (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("IW6zvCGmLTrx7ud3") # 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/IW6zvCGmLTrx7ud3
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid IW6zvCGmLTrx7ud3 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["IW6zvCGmLTrx7ud30000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- stomach
- Condition
- diffuse gastric adenocarcinoma
- Modality
- RNA
- Observations
- 255,744
- Transcripts
- 71,670,637
- Tier
- silver
- Size
- 4.0 GB
- Sample ID
- GSM9157704
- License
- unknown
- Published
- Jul 27, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB