10x Xenium
Human pancreas
GSM8890214
bronze Interactive viewer pancreatic ductal adenocarcinoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'morphology_focus': DataTree[cyx] (1, 20492, 36950), (1, 10246, 18475), (1, 5123, 9237), (1, 2561, 4618), (1, 1280, 2309)
│ └── 'morphology_mip': DataTree[cyx] (1, 20492, 36950), (1, 10246, 18475), (1, 5123, 9237), (1, 2561, 4618), (1, 1280, 2309)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (20056, 35829), (10028, 17914), (5014, 8957), (2507, 4478), (1253, 2239)
│ └── 'nucleus_labels': DataTree[yx] (19946, 35689), (9973, 17844), (4986, 8922), (2493, 4461), (1246, 2230)
├── Points
│ └── 'transcripts': DataFrame with shape: (15784289, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (77695, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (77695, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (77695, 1) (2D shapes)
└── Tables
└── 'table': AnnData (77695, 477)
with coordinate systems:
▸ 'global', with elements:
morphology_focus (Images), 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("G220CGly4IzmCJrR") # 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/G220CGly4IzmCJrR
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid G220CGly4IzmCJrR Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["G220CGly4IzmCJrR0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- pancreas
- Condition
- pancreatic ductal adenocarcinoma
- Modality
- RNA
- Observations
- 77,695
- Transcripts
- 15,784,289
- Tier
- bronze
- Size
- 2.1 GB
- Sample ID
- GSM8890214
- License
- unknown
- Published
- Mar 31, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB