10x Xenium
Mouse small intestine
GSM9394259
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_focus': DataTree[cyx] (4, 40907, 36979), (4, 20453, 18489), (4, 10226, 9244), (4, 5113, 4622), (4, 2556, 2311)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (40907, 36979), (20453, 18489), (10226, 9244), (5113, 4622), (2556, 2311)
│ └── 'nucleus_labels': DataTree[yx] (40907, 36979), (20453, 18489), (10226, 9244), (5113, 4622), (2556, 2311)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (412822, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (412822, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (396182, 2) (2D shapes)
└── Tables
└── 'table': AnnData (412822, 5006)
with coordinate systems:
▸ 'global', with elements:
morphology_focus (Images), cell_labels (Labels), nucleus_labels (Labels), 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("jxZUQ4jWrVvPbQ95") # 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/jxZUQ4jWrVvPbQ95
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid jxZUQ4jWrVvPbQ95 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["jxZUQ4jWrVvPbQ950000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Eosinophils Orchestrate Intestinal Remodeling and Promote Innate Defense During Reproduction→ 8 datasets · comparison
Metadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- small intestine
- Modality
- RNA
- Observations
- 412,822
- Tier
- bronze
- Size
- 8.2 GB
- Sample ID
- GSM9394259
- License
- NCBI GEO policy
- Published
- Apr 30, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB