10x Xenium
Mouse pancreas
GSM9433811
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 13699, 17126), (1, 6849, 8563), (1, 3424, 4281), (1, 1712, 2140), (1, 856, 1070)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (13194, 14821), (6597, 7410), (3298, 3705), (1649, 1852), (824, 926)
│ └── 'nucleus_labels': DataTree[yx] (13054, 14682), (6527, 7341), (3263, 3670), (1631, 1835), (815, 917)
├── Points
│ └── 'transcripts': DataFrame with shape: (13544594, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (66389, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (66389, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (66389, 1) (2D shapes)
└── Tables
└── 'table': AnnData (66389, 480)
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) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("sbe0W4y9jw2vrjda0000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) Python · lamindb
Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("sbe0W4y9jw2vrjda") # stem uid: Lamin resolves it to the 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 Shell
# sddb client: download the .zarr into data/
sddb-cli download sbe0W4y9jw2vrjda0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/sbe0W4y9jw2vrjda
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid sbe0W4y9jw2vrjdaLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- pancreas
- Modality
- RNA
- Observations (cells)
- 66,389
- Transcripts
- 13,544,594
- Tier
- bronze
- Size
- 930 MB
- Sample ID
- GSM9433811
- License
- NCBI GEO policy
- Published
- Mar 18, 2026
Cite this dataset
doi.org/10.1016/j.cell.2026.03.032 ↗ BibTeX
@article{geo:GSM9433811,
doi = {10.1016/j.cell.2026.03.032},
title = {GSM9433811},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB