10x Xenium
Human coronary artery
GSM9423577
bronze Interactive viewer atherosclerosis Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 27321, 22804), (1, 13660, 11402), (1, 6830, 5701), (1, 3415, 2850), (1, 1707, 1425)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (25653, 22452), (12826, 11226), (6413, 5613), (3206, 2806), (1603, 1403)
│ └── 'nucleus_labels': DataTree[yx] (25387, 21777), (12693, 10888), (6346, 5444), (3173, 2722), (1586, 1361)
├── Points
│ └── 'transcripts': DataFrame with shape: (1143038, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (17373, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (17373, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (17298, 2) (2D shapes)
└── Tables
└── 'table': AnnData (17373, 477)
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("eNFOwS2n5ol6X3Fu") # 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/eNFOwS2n5ol6X3Fu
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid eNFOwS2n5ol6X3Fu Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["eNFOwS2n5ol6X3Fu0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- coronary artery
- Condition
- atherosclerosis
- Modality
- RNA
- Observations
- 17,373
- Transcripts
- 1,143,038
- Tier
- bronze
- Size
- 469 MB
- Sample ID
- GSM9423577
- 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