10x Xenium
Mouse brain
GSM9942075
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 74776, 45466), (1, 37388, 22733), (1, 18694, 11366), (1, 9347, 5683), (1, 4673, 2841)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (72472, 44722), (36236, 22361), (18118, 11180), (9059, 5590), (4529, 2795)
│ └── 'nucleus_labels': DataTree[yx] (72456, 44651), (36228, 22325), (18114, 11162), (9057, 5581), (4528, 2790)
├── Points
│ └── 'transcripts': DataFrame with shape: (23839171, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (84887, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (84887, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (85153, 2) (2D shapes)
└── Tables
└── 'table': AnnData (84887, 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("uGKX1Ngs7MNH0BB4") # 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/uGKX1Ngs7MNH0BB4
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid uGKX1Ngs7MNH0BB4 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["uGKX1Ngs7MNH0BB40000"])[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
- 84,887
- Transcripts
- 23,839,171
- Tier
- silver
- Size
- 1.6 GB
- Sample ID
- GSM9942075
- 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