10x Xenium
Human ascending aorta
GSM9485375
bronze Interactive viewer aortic valve stenosis Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 27010, 37412), (1, 13505, 18706), (1, 6752, 9353), (1, 3376, 4676), (1, 1688, 2338)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (26431, 35680), (13215, 17840), (6607, 8920), (3303, 4460), (1651, 2230)
│ └── 'nucleus_labels': DataTree[yx] (26123, 33871), (13061, 16935), (6530, 8467), (3265, 4233), (1632, 2116)
├── Points
│ └── 'transcripts': DataFrame with shape: (1404301, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (25952, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (25952, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (25709, 2) (2D shapes)
└── Tables
└── 'table': AnnData (25952, 377)
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("nP4MhG6uWrNY6zec") # 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/nP4MhG6uWrNY6zec
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid nP4MhG6uWrNY6zec Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["nP4MhG6uWrNY6zec0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- ascending aorta
- Condition
- aortic valve stenosis
- Modality
- RNA
- Observations
- 25,952
- Transcripts
- 1,404,301
- Tier
- bronze
- Size
- 665 MB
- Sample ID
- GSM9485375
- License
- unknown
- Published
- Feb 5, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB