10x Xenium
Mouse skin of body
GSM9636013
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17129, 51074), (1, 8564, 25537), (1, 4282, 12768), (1, 2141, 6384), (1, 1070, 3192)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (17005, 49297), (8502, 24648), (4251, 12324), (2125, 6162), (1062, 3081)
│ └── 'nucleus_labels': DataTree[yx] (16981, 49275), (8490, 24637), (4245, 12318), (2122, 6159), (1061, 3079)
├── Points
│ └── 'transcripts': DataFrame with shape: (13220328, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (45342, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (45342, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (44649, 2) (2D shapes)
└── Tables
└── 'table': AnnData (45342, 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("GeObkcoG0FpkV3OS") # 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/GeObkcoG0FpkV3OS
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid GeObkcoG0FpkV3OS Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["GeObkcoG0FpkV3OS0000"])[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
- 45,342
- Transcripts
- 13,220,328
- Tier
- bronze
- Size
- 1.1 GB
- Sample ID
- GSM9636013
- 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