10x Xenium
Mouse brain
GSM9942073
silver No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17112, 17156), (1, 8556, 8578), (1, 4278, 4289), (1, 2139, 2144), (1, 1069, 1072)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (16808, 15907), (8404, 7953), (4202, 3976), (2101, 1988), (1050, 994)
│ └── 'nucleus_labels': DataTree[yx] (16761, 14888), (8380, 7444), (4190, 3722), (2095, 1861), (1047, 930)
├── Points
│ └── 'transcripts': DataFrame with shape: (25134731, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (54343, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (54343, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (54932, 2) (2D shapes)
└── Tables
└── 'table': AnnData (54343, 347)
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("WWGvzucgFTztLw85") # 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/WWGvzucgFTztLw85
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid WWGvzucgFTztLw85 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["WWGvzucgFTztLw850000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- brain
- Modality
- RNA
- Observations
- 54,343
- Transcripts
- 25,134,731
- Tier
- silver
- Size
- 889 MB
- Sample ID
- GSM9942073
- License
- unknown
- Published
- Aug 8, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB