10x Xenium
Human lung
GSM9714920
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 54463, 14574), (1, 27231, 7287), (1, 13615, 3643), (1, 6807, 1821), (1, 3403, 910)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (53515, 14224), (26757, 7112), (13378, 3556), (6689, 1778), (3344, 889)
│ └── 'nucleus_labels': DataTree[yx] (52798, 13623), (26399, 6811), (13199, 3405), (6599, 1702), (3299, 851)
├── Points
│ └── 'transcripts': DataFrame with shape: (6048486, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (143969, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (143969, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (143481, 2) (2D shapes)
└── Tables
└── 'table': AnnData (143969, 387)
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("hrtmsBGOTH6H8bKq0000")
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("hrtmsBGOTH6H8bKq") # 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 hrtmsBGOTH6H8bKq0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/hrtmsBGOTH6H8bKq
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid hrtmsBGOTH6H8bKqLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- lung
- Modality
- RNA
- Observations (cells)
- 143,969
- Transcripts
- 6,048,486
- Tier
- silver
- Size
- 1.6 GB
- Sample ID
- GSM9714920
- License
- NCBI GEO policy
- Published
- Aug 9, 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