10x Xenium
Human ileum
GSM9345480
bronze Interactive viewer Crohn disease Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 27278, 11483), (1, 13639, 5741), (1, 6819, 2870), (1, 3409, 1435), (1, 1704, 717)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (24652, 10517), (12326, 5258), (6163, 2629), (3081, 1314), (1540, 657)
│ └── 'nucleus_labels': DataTree[yx] (24512, 10378), (12256, 5189), (6128, 2594), (3064, 1297), (1532, 648)
├── Points
│ └── 'transcripts': DataFrame with shape: (840881, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (39289, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (39289, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (39289, 1) (2D shapes)
└── Tables
└── 'table': AnnData (39289, 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("WDgjHLOcxFofaqHS") # 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/WDgjHLOcxFofaqHS
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid WDgjHLOcxFofaqHS Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["WDgjHLOcxFofaqHS0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- ileum
- Condition
- Crohn disease
- Modality
- RNA
- Observations
- 39,289
- Transcripts
- 840,881
- Tier
- bronze
- Size
- 350 MB
- Sample ID
- GSM9345480
- 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