10x Xenium
Human lung
GSM9945419
silver Interactive viewer small cell lung carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 30669, 45476), (1, 15334, 22738), (1, 7667, 11369), (1, 3833, 5684), (1, 1916, 2842)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (30414, 44178), (15207, 22089), (7603, 11044), (3801, 5522), (1900, 2761)
│ └── 'nucleus_labels': DataTree[yx] (30387, 44147), (15193, 22073), (7596, 11036), (3798, 5518), (1899, 2759)
├── Points
│ └── 'transcripts': DataFrame with shape: (55937232, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (396008, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (396008, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (410388, 2) (2D shapes)
└── Tables
└── 'table': AnnData (396008, 5001)
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("hKgnvZkLqUts6RVx") # 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/hKgnvZkLqUts6RVx
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid hKgnvZkLqUts6RVx Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["hKgnvZkLqUts6RVx0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Condition
- small cell lung carcinoma
- Modality
- RNA
- Observations
- 396,008
- Transcripts
- 55,937,232
- Tier
- silver
- Size
- 3.0 GB
- Sample ID
- GSM9945419
- License
- unknown
- Published
- Aug 18, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB