10x Xenium
Human lung
GSM9052318
bronze Interactive viewer lung adenocarcinoma Provisional
print(sdata)
SpatialData object
├── Labels
│ ├── 'cell_labels': DataTree[yx] (67782, 48172), (33891, 24086), (16945, 12043), (8472, 6021), (4236, 3010)
│ └── 'nucleus_labels': DataTree[yx] (66741, 47979), (33370, 23989), (16685, 11994), (8342, 5997), (4171, 2998)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (117654, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (117654, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (116499, 2) (2D shapes)
└── Tables
└── 'table': AnnData (117654, 339)
with coordinate systems:
▸ 'global', with elements:
cell_labels (Labels), nucleus_labels (Labels), 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("TfzY8mhqaTerR11m") # 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/TfzY8mhqaTerR11m
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid TfzY8mhqaTerR11m Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["TfzY8mhqaTerR11m0000"])[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
- lung adenocarcinoma
- Modality
- RNA
- Observations
- 117,654
- Tier
- bronze
- Size
- 138 MB
- Sample ID
- GSM9052318
- License
- unknown
- Published
- Jun 30, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB