10x Xenium
Human lung
GSM9837328
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 34062, 31322), (1, 17031, 15661), (1, 8515, 7830), (1, 4257, 3915), (1, 2128, 1957)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (33158, 30060), (16579, 15030), (8289, 7515), (4144, 3757), (2072, 1878)
│ └── 'nucleus_labels': DataTree[yx] (31960, 30044), (15980, 15022), (7990, 7511), (3995, 3755), (1997, 1877)
├── Points
│ └── 'transcripts': DataFrame with shape: (6938863, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (74724, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (74724, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (74637, 2) (2D shapes)
└── Tables
└── 'table': AnnData (74724, 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) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("43439zath7rwJFSb") # 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/43439zath7rwJFSb
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 43439zath7rwJFSb Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["43439zath7rwJFSb0000"])[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
- Modality
- RNA
- Observations
- 74,724
- Transcripts
- 6,938,863
- Tier
- bronze
- Size
- 1.2 GB
- Sample ID
- GSM9837328
- License
- unknown
- Published
- Jun 29, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB