10x Xenium
Human oropharynx
GSM9054472
bronze Interactive viewer oropharynx squamous cell carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 23902, 28497), (1, 11951, 14248), (1, 5975, 7124), (1, 2987, 3562), (1, 1493, 1781)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (23544, 28415), (11772, 14207), (5886, 7103), (2943, 3551), (1471, 1775)
│ └── 'nucleus_labels': DataTree[yx] (23150, 28374), (11575, 14187), (5787, 7093), (2893, 3546), (1446, 1773)
├── Points
│ └── 'transcripts': DataFrame with shape: (48039586, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (175174, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (175174, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (179897, 2) (2D shapes)
└── Tables
└── 'table': AnnData (175174, 477)
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("jpGiMm3oOoS5qkLy") # 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/jpGiMm3oOoS5qkLy
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid jpGiMm3oOoS5qkLy Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["jpGiMm3oOoS5qkLy0000"])[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
- 175,174
- Transcripts
- 48,039,586
- Tier
- bronze
- Size
- 2.5 GB
- Sample ID
- GSM9054472
- 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