Visium
Mouse skin of body
GSM8974359
bronze H&E melanoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8974359_KO_hires_image': DataArray[cyx] (3, 2000, 1718)
│ └── 'GSM8974359_KO_lowres_image': DataArray[cyx] (3, 600, 516)
├── Shapes
│ └── 'GSM8974359_KO': GeoDataFrame shape: (2746, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2746, 19465)
with coordinate systems:
▸ 'GSM8974359_KO', with elements:
GSM8974359_KO_hires_image (Images), GSM8974359_KO_lowres_image (Images), GSM8974359_KO (Shapes)
▸ 'GSM8974359_KO_downscaled_hires', with elements:
GSM8974359_KO_hires_image (Images), GSM8974359_KO (Shapes)
▸ 'GSM8974359_KO_downscaled_lowres', with elements:
GSM8974359_KO_lowres_image (Images), GSM8974359_KO (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("cVpYVRp2S1jQ9VsZ0000")
ds.elements() # inspect without downloading
sdata = ds.to_sdata() # cached locally, reused
print(sdata) Python · lamindb
Needs pip install lamindb and network access to the Lamin database, which is limited during the alpha. If it fails, use the Client tab.
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("cVpYVRp2S1jQ9VsZ") # stem uid: Lamin resolves it to the 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 Shell
# sddb client: download the .zarr into data/
sddb-cli download cVpYVRp2S1jQ9VsZ0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/cVpYVRp2S1jQ9VsZ
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid cVpYVRp2S1jQ9VsZLicense: NCBI GEO policy
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 (spots)
- 2,746
- Tier
- bronze
- Chemistry
- Visium CytAssist v2
- Resolution
- 1,718 × 2,000 px
- mpp
- 3.359 µm/px
- Size
- 59.6 MB
- Sample ID
- GSM8974359
- License
- NCBI GEO policy
- Published
- Jul 30, 2025
Cite this dataset
doi.org/10.1016/j.immuni.2025.07.007 ↗ BibTeX
@article{geo:GSE296660,
doi = {10.1016/j.immuni.2025.07.007},
title = {GSM8974359},
year = {2025}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB