10x Xenium
Human lung
GSM9525785
bronze Interactive viewer lung adenocarcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20507, 22895), (1, 10253, 11447), (1, 5126, 5723), (1, 2563, 2861), (1, 1281, 1430)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (20302, 22759), (10151, 11379), (5075, 5689), (2537, 2844), (1268, 1422)
│ └── 'nucleus_labels': DataTree[yx] (20279, 22753), (10139, 11376), (5069, 5688), (2534, 2844), (1267, 1422)
├── Points
│ └── 'transcripts': DataFrame with shape: (22145490, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (142747, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (142747, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (142712, 2) (2D shapes)
└── Tables
└── 'table': AnnData (142747, 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("aigQAfZqWxSPkqth") # 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/aigQAfZqWxSPkqth
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid aigQAfZqWxSPkqth Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["aigQAfZqWxSPkqth0000"])[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
- 142,747
- Transcripts
- 22,145,490
- Tier
- bronze
- Size
- 1.3 GB
- Sample ID
- GSM9525785
- 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