10x Xenium
Human pleura
GSM9052319
bronze Interactive viewer pleural mesothelioma Provisional
print(sdata)
SpatialData object
├── Labels
│ ├── 'cell_labels': DataTree[yx] (51662, 36629), (25831, 18314), (12915, 9157), (6457, 4578), (3228, 2289)
│ └── 'nucleus_labels': DataTree[yx] (51522, 36488), (25761, 18244), (12880, 9122), (6440, 4561), (3220, 2280)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (145692, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (145692, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (145692, 1) (2D shapes)
└── Tables
└── 'table': AnnData (145692, 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("2vaRU0xmyAt8GJIA") # 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/2vaRU0xmyAt8GJIA
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 2vaRU0xmyAt8GJIA Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["2vaRU0xmyAt8GJIA0000"])[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
- pleura
- Condition
- pleural mesothelioma
- Modality
- RNA
- Observations
- 145,692
- Tier
- bronze
- Size
- 170 MB
- Sample ID
- GSM9052319
- 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