10x Xenium
Mouse lung
GSM9360613
silver Interactive viewer lung cancer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataArray[cyx] (1, 51061, 51174)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (49319, 49837), (24659, 24918), (12329, 12459), (6164, 6229), (3082, 3114)
│ └── 'nucleus_labels': DataTree[yx] (49273, 49790), (24636, 24895), (12318, 12447), (6159, 6223), (3079, 3111)
├── Points
│ └── 'transcripts': DataFrame with shape: (148472339, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (426641, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (426641, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (426641, 2) (2D shapes)
└── Tables
└── 'table': AnnData (426641, 300)
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("daxuSDMnZ94yhE4T") # 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/daxuSDMnZ94yhE4T
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid daxuSDMnZ94yhE4T Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["daxuSDMnZ94yhE4T0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open 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
- 426,641
- Transcripts
- 148,472,339
- Tier
- silver
- Size
- 5.5 GB
- Sample ID
- GSM9360613
- 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