10x Xenium
Human lung
GSM9837325
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 30677, 17149), (1, 15338, 8574), (1, 7669, 4287), (1, 3834, 2143), (1, 1917, 1071)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (29520, 16994), (14760, 8497), (7380, 4248), (3690, 2124), (1845, 1062)
│ └── 'nucleus_labels': DataTree[yx] (29460, 16971), (14730, 8485), (7365, 4242), (3682, 2121), (1841, 1060)
├── Points
│ └── 'transcripts': DataFrame with shape: (1555834, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (27886, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (27886, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (27888, 2) (2D shapes)
└── Tables
└── 'table': AnnData (27886, 289)
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("sPeCnMR1QuV9vYUP0000")
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("sPeCnMR1QuV9vYUP") # 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 sPeCnMR1QuV9vYUP0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/sPeCnMR1QuV9vYUP
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid sPeCnMR1QuV9vYUPLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Modality
- RNA
- Observations (cells)
- 27,886
- Transcripts
- 1,555,834
- Tier
- bronze
- Size
- 451 MB
- Sample ID
- GSM9837325
- License
- NCBI GEO policy
- Published
- Jun 29, 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