10x Xenium
Mouse lung
GSM9360615
silver Interactive viewer lung cancer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataArray[cyx] (1, 54447, 54012)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (54144, 51283), (27072, 25641), (13536, 12820), (6768, 6410), (3384, 3205)
│ └── 'nucleus_labels': DataTree[yx] (54098, 51237), (27049, 25618), (13524, 12809), (6762, 6404), (3381, 3202)
├── Points
│ └── 'transcripts': DataFrame with shape: (123915103, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (876258, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (876258, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (876258, 2) (2D shapes)
└── Tables
└── 'table': AnnData (876258, 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) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("WzYw0osFLbEYCuAF0000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) Python · lamindb
Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("WzYw0osFLbEYCuAF") # stem uid: Lamin resolves it to the 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 Shell
# sddb client: download the .zarr into data/
sddb-cli download WzYw0osFLbEYCuAF0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/WzYw0osFLbEYCuAF
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid WzYw0osFLbEYCuAFLicense: NCBI GEO policy
Part 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 (cells)
- 876,258
- Transcripts
- 123,915,103
- Tier
- silver
- Size
- 6.7 GB
- Sample ID
- GSM9360615
- 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