10x Xenium
Human lung
GSM9837330
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 13700, 17148), (1, 6850, 8574), (1, 3425, 4287), (1, 1712, 2143), (1, 856, 1071)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (11650, 15853), (5825, 7926), (2912, 3963), (1456, 1981), (728, 990)
│ └── 'nucleus_labels': DataTree[yx] (11619, 15311), (5809, 7655), (2904, 3827), (1452, 1913), (726, 956)
├── Points
│ └── 'transcripts': DataFrame with shape: (2028554, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (20345, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (20345, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (20447, 2) (2D shapes)
└── Tables
└── 'table': AnnData (20345, 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("Dwv8wLBrLYdo0Og1") # 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/Dwv8wLBrLYdo0Og1
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Dwv8wLBrLYdo0Og1 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["Dwv8wLBrLYdo0Og10000"])[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
- 20,345
- Transcripts
- 2,028,554
- Tier
- bronze
- Size
- 283 MB
- Sample ID
- GSM9837330
- 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