10x Xenium
Human lung
GSM9525787
bronze Interactive viewer lung adenocarcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20622, 22919), (1, 10311, 11459), (1, 5155, 5729), (1, 2577, 2864), (1, 1288, 1432)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (20560, 22795), (10280, 11397), (5140, 5698), (2570, 2849), (1285, 1424)
│ └── 'nucleus_labels': DataTree[yx] (20553, 22789), (10276, 11394), (5138, 5697), (2569, 2848), (1284, 1424)
├── Points
│ └── 'transcripts': DataFrame with shape: (38216309, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (137993, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (137993, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (139715, 2) (2D shapes)
└── Tables
└── 'table': AnnData (137993, 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) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("qaIiwbmXivraHGMF") # 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/qaIiwbmXivraHGMF
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid qaIiwbmXivraHGMF Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["qaIiwbmXivraHGMF0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Condition
- lung adenocarcinoma
- Modality
- RNA
- Observations
- 137,993
- Transcripts
- 38,216,309
- Tier
- bronze
- Size
- 1.7 GB
- Sample ID
- GSM9525787
- License
- unknown
- Published
- Jun 8, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB