10x Xenium
Mouse lung
GSM9360616
silver Interactive viewer lung cancer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataArray[cyx] (1, 51041, 54016)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (51032, 52725), (25516, 26362), (12758, 13181), (6379, 6590), (3189, 3295)
│ └── 'nucleus_labels': DataTree[yx] (50994, 52697), (25497, 26348), (12748, 13174), (6374, 6587), (3187, 3293)
├── Points
│ └── 'transcripts': DataFrame with shape: (77879399, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (678432, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (678432, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (678432, 2) (2D shapes)
└── Tables
└── 'table': AnnData (678432, 100)
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("BbiDNN1R2B8CdaDJ") # 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/BbiDNN1R2B8CdaDJ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid BbiDNN1R2B8CdaDJ Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["BbiDNN1R2B8CdaDJ0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
The Dichotomy of Tumor Control by Recruited and Resident Tumor-Associated Macrophages→ 4 datasets · comparison
Metadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- lung
- Condition
- lung cancer
- Modality
- RNA
- Observations
- 678,432
- Transcripts
- 77,879,399
- Tier
- silver
- Size
- 5.0 GB
- Sample ID
- GSM9360616
- License
- NCBI GEO policy
- Published
- Dec 10, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB