10x Xenium
Human oropharynx
GSM9054487
bronze Interactive viewer oropharynx squamous cell carcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17123, 34161), (1, 8561, 17080), (1, 4280, 8540), (1, 2140, 4270), (1, 1070, 2135)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (16986, 32710), (8493, 16355), (4246, 8177), (2123, 4088), (1061, 2044)
│ └── 'nucleus_labels': DataTree[yx] (16439, 31321), (8219, 15660), (4109, 7830), (2054, 3915), (1027, 1957)
├── Points
│ └── 'transcripts': DataFrame with shape: (30528719, 11) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (51534, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (51534, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (48402, 2) (2D shapes)
└── Tables
└── 'table': AnnData (51534, 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("CavwvxHT0e50sSZ0") # 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/CavwvxHT0e50sSZ0
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid CavwvxHT0e50sSZ0 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["CavwvxHT0e50sSZ00000"])[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
- 51,534
- Transcripts
- 30,528,719
- Tier
- bronze
- Size
- 1.7 GB
- Sample ID
- GSM9054487
- 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