Visium
Mouse skin of body
GSM8974358
bronze Interactive viewer H&E melanoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8974358_WT_hires_image': DataArray[cyx] (3, 1518, 2000)
│ └── 'GSM8974358_WT_lowres_image': DataArray[cyx] (3, 456, 600)
├── Shapes
│ └── 'GSM8974358_WT': GeoDataFrame shape: (3066, 2) (2D shapes)
└── Tables
└── 'table': AnnData (3066, 19465)
with coordinate systems:
▸ 'GSM8974358_WT', with elements:
GSM8974358_WT_hires_image (Images), GSM8974358_WT_lowres_image (Images), GSM8974358_WT (Shapes)
▸ 'GSM8974358_WT_downscaled_hires', with elements:
GSM8974358_WT_hires_image (Images), GSM8974358_WT (Shapes)
▸ 'GSM8974358_WT_downscaled_lowres', with elements:
GSM8974358_WT_lowres_image (Images), GSM8974358_WT (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("UZZc5aI0cHP2Nag6") # 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/UZZc5aI0cHP2Nag6
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid UZZc5aI0cHP2Nag6 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["UZZc5aI0cHP2Nag60000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Part of collection
Polyamines regulate adaptive antitumor immunity by functional specialization of regulatory T cells [Visium]→ 2 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- skin of body
- Condition
- melanoma
- Modality
- RNA
- Observations
- 3,066
- Tier
- bronze
- Chemistry
- Visium CytAssist v2
- Resolution
- 2,000 × 1,518 px
- mpp
- 3.819 µm/px
- Size
- 60 MB
- Sample ID
- GSM8974358
- License
- unknown
- Published
- Jul 30, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB