10x Xenium
Mouse spinal cord
GSM9829820
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataArray[cyx] (1, 112364, 54472)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (112267, 54453), (56133, 27226), (28066, 13613), (14033, 6806), (7016, 3403)
│ └── 'nucleus_labels': DataTree[yx] (112260, 54430), (56130, 27215), (28065, 13607), (14032, 6803), (7016, 3401)
├── Points
│ └── 'transcripts': DataFrame with shape: (159713371, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (556964, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (556964, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (556672, 2) (2D shapes)
└── Tables
└── 'table': AnnData (556964, 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("0xSHC7mkIp9WOPKe0000")
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("0xSHC7mkIp9WOPKe") # 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 0xSHC7mkIp9WOPKe0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/0xSHC7mkIp9WOPKe
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 0xSHC7mkIp9WOPKeLicense: 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)
- 556,964
- Transcripts
- 159,713,371
- Tier
- silver
- Size
- 11.0 GB
- Sample ID
- GSM9829820
- 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