10x Xenium
Mouse skin of body
GSM9636020
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17091, 39793), (1, 8545, 19896), (1, 4272, 9948), (1, 2136, 4974), (1, 1068, 2487)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (16109, 39394), (8054, 19697), (4027, 9848), (2013, 4924), (1006, 2462)
│ └── 'nucleus_labels': DataTree[yx] (16038, 39370), (8019, 19685), (4009, 9842), (2004, 4921), (1002, 2460)
├── Points
│ └── 'transcripts': DataFrame with shape: (16882230, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (38758, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (38758, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (38661, 2) (2D shapes)
└── Tables
└── 'table': AnnData (38758, 5106)
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("UMEs5RbrwtUiZnuQ") # 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/UMEs5RbrwtUiZnuQ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid UMEs5RbrwtUiZnuQ Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["UMEs5RbrwtUiZnuQ0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- skin of body
- Modality
- RNA
- Observations
- 38,758
- Transcripts
- 16,882,230
- Tier
- bronze
- Size
- 981 MB
- Sample ID
- GSM9636020
- License
- unknown
- Published
- Jun 25, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB