10x Xenium
Human lung
GSM9837333
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 23877, 25639), (1, 11938, 12819), (1, 5969, 6409), (1, 2984, 3204), (1, 1492, 1602)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (23424, 24589), (11712, 12294), (5856, 6147), (2928, 3073), (1464, 1536)
│ └── 'nucleus_labels': DataTree[yx] (23376, 24563), (11688, 12281), (5844, 6140), (2922, 3070), (1461, 1535)
├── Points
│ └── 'transcripts': DataFrame with shape: (3849311, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (47611, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (47611, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (47714, 2) (2D shapes)
└── Tables
└── 'table': AnnData (47611, 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("y763wU2uypqXfH4z") # 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/y763wU2uypqXfH4z
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid y763wU2uypqXfH4z Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["y763wU2uypqXfH4z0000"])[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
- 47,611
- Transcripts
- 3,849,311
- Tier
- bronze
- Size
- 575 MB
- Sample ID
- GSM9837333
- 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