10x Xenium
Human ascending colon
GSM9736161
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17040, 12923), (1, 8520, 6461), (1, 4260, 3230), (1, 2130, 1615), (1, 1065, 807)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (13925, 12589), (6962, 6294), (3481, 3147), (1740, 1573), (870, 786)
│ └── 'nucleus_labels': DataTree[yx] (15193, 12577), (7596, 6288), (3798, 3144), (1899, 1572), (949, 786)
├── Points
│ └── 'transcripts': DataFrame with shape: (9868346, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (25263, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (25263, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (25740, 2) (2D shapes)
└── Tables
└── 'table': AnnData (25263, 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("P6y3gXkc2Sm2MuMV0000")
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("P6y3gXkc2Sm2MuMV") # 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 P6y3gXkc2Sm2MuMV0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/P6y3gXkc2Sm2MuMV
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid P6y3gXkc2Sm2MuMVLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- ascending colon
- Modality
- RNA
- Observations (cells)
- 25,263
- Transcripts
- 9,868,346
- Tier
- bronze
- Size
- 443 MB
- Sample ID
- GSM9736161
- License
- NCBI GEO policy
- Published
- Sep 3, 2026
Cite this dataset
doi.org/10.1126/science.aeh7112 ↗ BibTeX
@article{geo:GSM9736161,
doi = {10.1126/science.aeh7112},
title = {GSM9736161},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB