10x Xenium
Golden hamster brain
GSM10002163
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Labels
│ ├── 'cell_labels': DataTree[yx] (108787, 54253), (54393, 27126), (27196, 13563), (13598, 6781), (6799, 3390)
│ └── 'nucleus_labels': DataTree[yx] (108558, 54159), (54279, 27079), (27139, 13539), (13569, 6769), (6784, 3384)
├── Points
│ └── 'transcripts': DataFrame with shape: (72719957, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (460753, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (460753, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (455872, 2) (2D shapes)
└── Tables
└── 'table': AnnData (460753, 100)
with coordinate systems:
▸ 'global', with elements:
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("s7ctMqTGWZbmsFNy") # 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/s7ctMqTGWZbmsFNy
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid s7ctMqTGWZbmsFNy Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["s7ctMqTGWZbmsFNy0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
A single-nucleus and spatial transcriptomic atlas of the Syrian hamster preoptic area across hibernation states→ 4 datasets · other
Metadata
- Technology
- 10x Xenium
- Organism
- golden hamster
- Tissue
- brain
- Modality
- RNA
- Observations
- 460,753
- Transcripts
- 72,719,957
- Tier
- silver
- Size
- 1.9 GB
- Sample ID
- GSM10002163
- License
- NCBI GEO policy
- Published
- Sep 2, 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