10x Xenium
Mouse mammary gland
GSM9460386
silver Interactive viewer breast cancer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 71535, 54062), (1, 35767, 27031), (1, 17883, 13515), (1, 8941, 6757), (1, 4470, 3378)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (70926, 54032), (35463, 27016), (17731, 13508), (8865, 6754), (4432, 3377)
│ └── 'nucleus_labels': DataTree[yx] (70871, 54027), (35435, 27013), (17717, 13506), (8858, 6753), (4429, 3376)
├── Points
│ └── 'transcripts': DataFrame with shape: (66584618, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (1216979, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (1216979, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (1218223, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1216979, 100)
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("odUciaBVxwhUgCiH") # 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/odUciaBVxwhUgCiH
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid odUciaBVxwhUgCiH Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["odUciaBVxwhUgCiH0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- mammary gland
- Condition
- breast cancer
- Modality
- RNA
- Observations
- 1,216,979
- Transcripts
- 66,584,618
- Tier
- silver
- Size
- 6.6 GB
- Sample ID
- GSM9460386
- License
- unknown
- Published
- Feb 2, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB