10x Xenium
Human rectum
GSM9345483
bronze Interactive viewer Crohn disease Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 13714, 22800), (1, 6857, 11400), (1, 3428, 5700), (1, 1714, 2850), (1, 857, 1425)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (12701, 20246), (6350, 10123), (3175, 5061), (1587, 2530), (793, 1265)
│ └── 'nucleus_labels': DataTree[yx] (12561, 20106), (6280, 10053), (3140, 5026), (1570, 2513), (785, 1256)
├── Points
│ └── 'transcripts': DataFrame with shape: (1812492, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (29364, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (29364, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (29364, 1) (2D shapes)
└── Tables
└── 'table': AnnData (29364, 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("kuJ6Rw92OMNGDWAe") # 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/kuJ6Rw92OMNGDWAe
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid kuJ6Rw92OMNGDWAe Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["kuJ6Rw92OMNGDWAe0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- rectum
- Condition
- Crohn disease
- Modality
- RNA
- Observations
- 29,364
- Transcripts
- 1,812,492
- Tier
- bronze
- Size
- 354 MB
- Sample ID
- GSM9345483
- License
- unknown
- Published
- Mar 13, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB