10x Xenium
Mouse submandibular gland
GSM9401276
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 23956, 31266), (1, 11978, 15633), (1, 5989, 7816), (1, 2994, 3908), (1, 1497, 1954)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (22419, 29218), (11209, 14609), (5604, 7304), (2802, 3652), (1401, 1826)
│ └── 'nucleus_labels': DataTree[yx] (21964, 29171), (10982, 14585), (5491, 7292), (2745, 3646), (1372, 1823)
├── Points
│ └── 'transcripts': DataFrame with shape: (49559577, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (131054, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (131054, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (127921, 2) (2D shapes)
└── Tables
└── 'table': AnnData (131054, 5006)
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("Wc9wAdMuKUghuT0t") # 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/Wc9wAdMuKUghuT0t
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Wc9wAdMuKUghuT0t Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["Wc9wAdMuKUghuT0t0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- submandibular gland
- Modality
- RNA
- Observations
- 131,054
- Transcripts
- 49,559,577
- Tier
- bronze
- Size
- 1.8 GB
- Sample ID
- GSM9401276
- License
- unknown
- Published
- Aug 23, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB