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10x Xenium

Mouse spinal cord

GSM9829819

silver Interactive viewer No linked publication
Mouse spinal cord preview
print(sdata)
SpatialData object
├── Images
│     └── 'morphology_mip': DataArray[cyx] (1, 112359, 54436)
├── Labels
│     ├── 'cell_labels': DataTree[yx] (112180, 54417), (56090, 27208), (28045, 13604), (14022, 6802), (7011, 3401)
│     └── 'nucleus_labels': DataTree[yx] (112165, 54395), (56082, 27197), (28041, 13598), (14020, 6799), (7010, 3399)
├── Points
│     └── 'transcripts': DataFrame with shape: (186411315, 13) (3D points)
├── Shapes
│     ├── 'cell_boundaries': GeoDataFrame shape: (598230, 1) (2D shapes)
│     ├── 'cell_circles': GeoDataFrame shape: (598230, 2) (2D shapes)
│     └── 'nucleus_boundaries': GeoDataFrame shape: (598340, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (598230, 347)
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("nizLsDXegMneBcCI")   # 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/nizLsDXegMneBcCI

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid nizLsDXegMneBcCI
Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog

ds = Catalog().cohort(uids=["nizLsDXegMneBcCI0000"])[0]
ds.elements()                 # inspect without downloading
sdata = ds.load(lazy=False)   # copy to the local cache and open

Docs: finding & loading data →

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Metadata

Technology
10x Xenium
Organism
mouse
Tissue
spinal cord
Modality
RNA
Observations
598,230
Transcripts
186,411,315
Tier
silver
Size
11 GB
Sample ID
GSM9829819
License
NCBI GEO policy
Published
Jul 28, 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