10x Xenium
Mouse spinal cord
GSM9829819
silver Interactive viewer No linked publication
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) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("nizLsDXegMneBcCI0000")
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("nizLsDXegMneBcCI") # 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 nizLsDXegMneBcCI0000 --dest data/
# or lamin: 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 nizLsDXegMneBcCILicense: NCBI GEO policy
Part of collection
Spatial Transcriptomic Activity Atlas of Spinal Sympathetic Neurons Delineates Neural Control of Lipolysis→ 10 datasets · comparison
Metadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- spinal cord
- Modality
- RNA
- Observations (cells)
- 598,230
- Transcripts
- 186,411,315
- Tier
- silver
- Size
- 11.7 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