10x Xenium
Human subcutaneous adipose tissue
GSM8959870
bronze Interactive viewer obesity disorder Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 20574, 25647), (1, 10287, 12823), (1, 5143, 6411), (1, 2571, 3205), (1, 1285, 1602)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (19937, 24892), (9968, 12446), (4984, 6223), (2492, 3111), (1246, 1555)
│ └── 'nucleus_labels': DataTree[yx] (19861, 24753), (9930, 12376), (4965, 6188), (2482, 3094), (1241, 1547)
├── Points
│ └── 'transcripts': DataFrame with shape: (756449, 10) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (2894, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (2894, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (2894, 1) (2D shapes)
└── Tables
└── 'table': AnnData (2894, 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("JWlwgCiix3kOHi1D") # 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/JWlwgCiix3kOHi1D
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid JWlwgCiix3kOHi1D Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["JWlwgCiix3kOHi1D0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- human
- Tissue
- subcutaneous adipose tissue
- Condition
- obesity disorder
- Modality
- RNA
- Observations
- 2,894
- Transcripts
- 756,449
- Tier
- bronze
- Size
- 367 MB
- Sample ID
- GSM8959870
- License
- unknown
- Published
- Jun 19, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB