Visium
Dog testis
GSM9982017
silver Interactive viewer H&E cryptorchidism No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9982017_UD-A_hires_image': DataArray[cyx] (3, 961, 1000)
│ └── 'GSM9982017_UD-A_lowres_image': DataArray[cyx] (3, 576, 600)
├── Shapes
│ └── 'GSM9982017_UD-A': GeoDataFrame shape: (3929, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3929, 27046)
with coordinate systems:
▸ 'GSM9982017_UD-A', with elements:
GSM9982017_UD-A_hires_image (Images), GSM9982017_UD-A_lowres_image (Images), GSM9982017_UD-A (Shapes)
▸ 'GSM9982017_UD-A_downscaled_hires', with elements:
GSM9982017_UD-A_hires_image (Images), GSM9982017_UD-A (Shapes)
▸ 'GSM9982017_UD-A_downscaled_lowres', with elements:
GSM9982017_UD-A_lowres_image (Images), GSM9982017_UD-A (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("sAT1hyIlprWam3sV") # 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/sAT1hyIlprWam3sV
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid sAT1hyIlprWam3sV Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["sAT1hyIlprWam3sV0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial transcriptomic landscape of protein-coding genes in descended and undescended testes of dogs with unilateral cryptorchidism→ 4 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- dog
- Tissue
- testis
- Condition
- cryptorchidism
- Modality
- RNA
- Observations
- 3,929
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,000 × 961 px
- mpp
- 3.369 µm/px
- Size
- 49 MB
- Sample ID
- GSM9982017
- License
- unknown
- Published
- Sep 17, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB