10x Xenium
Mouse skin of body
GSM9544115
silver Interactive viewer basal cell carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 17078, 53921), (1, 8539, 26960), (1, 4269, 13480), (1, 2134, 6740), (1, 1067, 3370)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (16867, 53920), (8433, 26960), (4216, 13480), (2108, 6740), (1054, 3370)
│ └── 'nucleus_labels': DataTree[yx] (16865, 53896), (8432, 26948), (4216, 13474), (2108, 6737), (1054, 3368)
├── Points
│ └── 'transcripts': DataFrame with shape: (123988460, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (120819, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (120819, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (122870, 2) (2D shapes)
└── Tables
└── 'table': AnnData (120819, 5106)
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("WLomxQwwLQx0nDDS") # 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/WLomxQwwLQx0nDDS
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid WLomxQwwLQx0nDDS Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["WLomxQwwLQx0nDDS0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- 10x Xenium
- Organism
- mouse
- Tissue
- skin of body
- Condition
- basal cell carcinoma
- Modality
- RNA
- Observations
- 120,819
- Transcripts
- 123,988,460
- Tier
- silver
- Size
- 3.4 GB
- Sample ID
- GSM9544115
- License
- unknown
- Published
- Sep 12, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB