10x Xenium
Mouse skin of body
GSM9712817
silver Interactive viewer basal cell carcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'morphology_mip': DataTree[cyx] (1, 23847, 48276), (1, 11923, 24138), (1, 5961, 12069), (1, 2980, 6034), (1, 1490, 3017)
├── Labels
│ ├── 'cell_labels': DataTree[yx] (22830, 48172), (11415, 24086), (5707, 12043), (2853, 6021), (1426, 3010)
│ └── 'nucleus_labels': DataTree[yx] (22811, 48162), (11405, 24081), (5702, 12040), (2851, 6020), (1425, 3010)
├── Points
│ └── 'transcripts': DataFrame with shape: (106600521, 13) (3D points)
├── Shapes
│ ├── 'cell_boundaries': GeoDataFrame shape: (109179, 1) (2D shapes)
│ ├── 'cell_circles': GeoDataFrame shape: (109179, 2) (2D shapes)
│ └── 'nucleus_boundaries': GeoDataFrame shape: (110563, 2) (2D shapes)
└── Tables
└── 'table': AnnData (109179, 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("mKx0vjuyQavR27iH") # 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/mKx0vjuyQavR27iH
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid mKx0vjuyQavR27iH Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["mKx0vjuyQavR27iH0000"])[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
- 109,179
- Transcripts
- 106,600,521
- Tier
- silver
- Size
- 3.1 GB
- Sample ID
- GSM9712817
- 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