10x Xenium
Mouse skin of body
GSM9450633
silver Interactive viewer skin squamous cell carcinoma No linked publication
print(sdata)
SpatialData object
├── Labels
│ ├── 'cell_labels': DataTree[yx] (83599, 27347), (41799, 13673), (20899, 6836), (10449, 3418), (5224, 1709)
│ └── 'nucleus_labels': DataTree[yx] (82513, 27325), (41256, 13662), (20628, 6831), (10314, 3415), (5157, 1707)
├── Points
│ └── 'transcripts': DataFrame with shape: (166467321, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (415565, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (415565, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (416105, 2) (2D shapes)
└── Tables
└── 'table': AnnData (415565, 5006)
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("SBNrSMDHKwRvHN63") # 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/SBNrSMDHKwRvHN63
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid SBNrSMDHKwRvHN63 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["SBNrSMDHKwRvHN630000"])[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
- Condition
- skin squamous cell carcinoma
- Modality
- RNA
- Observations
- 415,565
- Transcripts
- 166,467,321
- Tier
- silver
- Size
- 3.7 GB
- Sample ID
- GSM9450633
- License
- unknown
- Published
- Sep 17, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB