10x Xenium
Mouse skin of body
GSM9636016
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 30684, 42615), (1, 15342, 21307), (1, 7671, 10653), (1, 3835, 5326), (1, 1917, 2663)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (29744, 42407), (14872, 21203), (7436, 10601), (3718, 5300), (1859, 2650)
│ └── 'nucleus_labels': DataTree[yx] (29718, 42203), (14859, 21101), (7429, 10550), (3714, 5275), (1857, 2637)
├── Points
│ └── 'transcripts': DataFrame with shape: (28770219, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (56833, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (56833, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (56789, 2) (2D shapes)
└── Tables
└── 'table': AnnData (56833, 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("dW92OOHpxF24L7BI") # 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/dW92OOHpxF24L7BI
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid dW92OOHpxF24L7BI Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["dW92OOHpxF24L7BI0000"])[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
- 56,833
- Transcripts
- 28,770,219
- Tier
- bronze
- Size
- 1.5 GB
- Sample ID
- GSM9636016
- 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