10x Xenium
Human lung
GSM9525962
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataArray[cyx] (1, 50991, 53889)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (50991, 53889), (25495, 26944), (12747, 13472), (6373, 6736), (3186, 3368)
│ └── 'nucleus_labels': DataTree[yx] (50991, 53889), (25495, 26944), (12747, 13472), (6373, 6736), (3186, 3368)
├── Points
│ └── 'transcripts': DataFrame with shape: (98526537, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (244374, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (244374, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (245037, 2) (2D shapes)
└── Tables
└── 'table': AnnData (244374, 5001)
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("zAhZa4MmArNE4xvy0000")
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("zAhZa4MmArNE4xvy") # 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 zAhZa4MmArNE4xvy0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/zAhZa4MmArNE4xvy
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid zAhZa4MmArNE4xvyLicense: NCBI GEO policy
Part of collection
Inflammatory immune modulators of AML lung infiltration and respiratory failure→ 3 datasets · comparison
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Modality
- RNA
- Observations (cells)
- 244,374
- Transcripts
- 98,526,537
- Tier
- silver
- Size
- 5.5 GB
- Sample ID
- GSM9525962
- License
- NCBI GEO policy
- Published
- May 22, 2026
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