10x Xenium
Human ovary
GSM9981861
silver Interactive viewer ovarian cancer No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 61223, 48333), (1, 30611, 24166), (1, 15305, 12083), (1, 7652, 6041), (1, 3826, 3020)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (61080, 48178), (30540, 24089), (15270, 12044), (7635, 6022), (3817, 3011)
│ └── 'nucleus_labels': DataTree[yx] (61075, 46368), (30537, 23184), (15268, 11592), (7634, 5796), (3817, 2898)
├── Points
│ └── 'transcripts': DataFrame with shape: (199043674, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (724177, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (724177, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (756201, 2) (2D shapes)
└── Tables
└── 'table': AnnData (724177, 480)
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("grJRuJFD0iULuIMZ0000")
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("grJRuJFD0iULuIMZ") # 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 grJRuJFD0iULuIMZ0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/grJRuJFD0iULuIMZ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid grJRuJFD0iULuIMZLicense: NCBI GEO policy
Metadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- ovary
- Condition
- ovarian cancer
- Modality
- RNA
- Observations (cells)
- 724,177
- Transcripts
- 199,043,674
- Tier
- silver
- Size
- 9.4 GB
- Sample ID
- GSM9981861
- License
- NCBI GEO policy
- Published
- Aug 27, 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