10x Xenium
Human pleura
GSM9052320
bronze Interactive viewer pleural mesothelioma Provisional
print(sdata)
SpatialData object
├── Labels
│ ├── 'cell_labels': DataTree[yx] (50180, 36616), (25090, 18308), (12545, 9154), (6272, 4577), (3136, 2288)
│ └── 'nucleus_labels': DataTree[yx] (49268, 33951), (24634, 16975), (12317, 8487), (6158, 4243), (3079, 2121)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (134530, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (134530, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (134027, 2) (2D shapes)
└── Tables
└── 'table': AnnData (134530, 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("8G5fH0Eo1wKag0dF") # 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/8G5fH0Eo1wKag0dF
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 8G5fH0Eo1wKag0dF Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["8G5fH0Eo1wKag0dF0000"])[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
- 134,530
- Tier
- bronze
- Size
- 158 MB
- Sample ID
- GSM9052320
- 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