10x Xenium
Mouse brain
GSM9924903
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Labels
│ ├── 'cell_labels': DataTree[yx] (27256, 22633), (13628, 11316), (6814, 5658), (3407, 2829), (1703, 1414)
│ └── 'nucleus_labels': DataTree[yx] (25547, 22082), (12773, 11041), (6386, 5520), (3193, 2760), (1596, 1380)
├── Points
│ └── 'transcripts': DataFrame with shape: (51813111, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (54424, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (54424, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (54239, 2) (2D shapes)
└── Tables
└── 'table': AnnData (54424, 345)
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("fCX2N6xVJmYZD0qG") # 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/fCX2N6xVJmYZD0qG
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid fCX2N6xVJmYZD0qG Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["fCX2N6xVJmYZD0qG0000"])[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
- 54,424
- Transcripts
- 51,813,111
- Tier
- silver
- Size
- 963 MB
- Sample ID
- GSM9924903
- License
- unknown
- Published
- Aug 21, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB