10x Xenium
Human oropharynx
GSM9054471
bronze Interactive viewer oropharynx squamous cell carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20499, 17155), (1, 10249, 8577), (1, 5124, 4288), (1, 2562, 2144), (1, 1281, 1072)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (20056, 17095), (10028, 8547), (5014, 4273), (2507, 2136), (1253, 1068)
│ └── 'nucleus_labels': DataTree[yx] (20034, 16442), (10017, 8221), (5008, 4110), (2504, 2055), (1252, 1027)
├── Points
│ └── 'transcripts': DataFrame with shape: (6845814, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (27775, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (27775, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (27090, 2) (2D shapes)
└── Tables
└── 'table': AnnData (27775, 476)
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("YS72utEuNdc6WdJO") # 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/YS72utEuNdc6WdJO
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid YS72utEuNdc6WdJO Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["YS72utEuNdc6WdJO0000"])[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
- oropharynx squamous cell carcinoma
- Modality
- RNA
- Observations
- 27,775
- Transcripts
- 6,845,814
- Tier
- bronze
- Size
- 640 MB
- Sample ID
- GSM9054471
- License
- unknown
- Published
- Aug 6, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB