10x Xenium
Human ascending aorta
GSM9194125
bronze Interactive viewer IgG4-related disease Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 31283, 48305), (1, 15641, 24152), (1, 7820, 12076), (1, 3910, 6038), (1, 1955, 3019)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (28195, 46103), (14097, 23051), (7048, 11525), (3524, 5762), (1762, 2881)
│ └── 'nucleus_labels': DataTree[yx] (28150, 46058), (14075, 23029), (7037, 11514), (3518, 5757), (1759, 2878)
├── Points
│ └── 'transcripts': DataFrame with shape: (5051417, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (59298, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (59298, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (59298, 2) (2D shapes)
└── Tables
└── 'table': AnnData (59298, 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("ROrfUT8gQOmJlx2r") # 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/ROrfUT8gQOmJlx2r
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid ROrfUT8gQOmJlx2r Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["ROrfUT8gQOmJlx2r0000"])[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
- IgG4-related disease
- Modality
- RNA
- Observations
- 59,298
- Transcripts
- 5,051,417
- Tier
- bronze
- Size
- 1.4 GB
- Sample ID
- GSM9194125
- 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