10x Xenium
Human oropharynx
GSM9589064
bronze Interactive viewer head and neck squamous cell carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 27269, 11529), (1, 13634, 5764), (1, 6817, 2882), (1, 3408, 1441), (1, 1704, 720)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (25751, 10927), (12875, 5463), (6437, 2731), (3218, 1365), (1609, 682)
│ └── 'nucleus_labels': DataTree[yx] (25611, 10789), (12805, 5394), (6402, 2697), (3201, 1348), (1600, 674)
├── Points
│ └── 'transcripts': DataFrame with shape: (9250710, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (77331, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (77331, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (77331, 1) (2D shapes)
└── Tables
└── 'table': AnnData (77331, 377)
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("9vsa8dXIHdnoVB4I") # 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/9vsa8dXIHdnoVB4I
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 9vsa8dXIHdnoVB4I Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["9vsa8dXIHdnoVB4I0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- oropharynx
- Condition
- head and neck squamous cell carcinoma
- Modality
- RNA
- Observations
- 77,331
- Transcripts
- 9,250,710
- Tier
- bronze
- Size
- 762 MB
- Sample ID
- GSM9589064
- License
- unknown
- Published
- May 11, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB