10x Xenium
Mouse liver
GSM9542521
silver Interactive viewer alcoholic liver diseases No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_focus': DataTree[cyx] (4, 57888, 48418), (4, 28944, 24209), (4, 14472, 12104), (4, 7236, 6052), (4, 3618, 3026)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (57554, 47251), (28777, 23625), (14388, 11812), (7194, 5906), (3597, 2953)
│ └── 'nucleus_labels': DataTree[yx] (57508, 47205), (28754, 23602), (14377, 11801), (7188, 5900), (3594, 2950)
├── Points
│ └── 'transcripts': DataFrame with shape: (121457364, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (155388, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (155388, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (156982, 2) (2D shapes)
└── Tables
└── 'table': AnnData (155388, 5006)
with coordinate systems:
▸ 'global', with elements:
morphology_focus (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("Lfa2vVZsFdp2W7Qo") # 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/Lfa2vVZsFdp2W7Qo
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Lfa2vVZsFdp2W7Qo Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["Lfa2vVZsFdp2W7Qo0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- liver
- Condition
- alcoholic liver diseases
- Modality
- RNA
- Observations
- 155,388
- Transcripts
- 121,457,364
- Tier
- silver
- Size
- 11 GB
- Sample ID
- GSM9542521
- License
- unknown
- Published
- Mar 23, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB