Visium
Human skin of body
GSM9022972
bronze Interactive viewer H&E cutaneous melanoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9022972_B14_hires_image': DataArray[cyx] (3, 1778, 2000)
│ └── 'GSM9022972_B14_lowres_image': DataArray[cyx] (3, 534, 600)
├── Shapes
│ └── 'GSM9022972_B14': GeoDataFrame shape: (14145, 2) (2D shapes)
└── Tables
└── 'table': AnnData (14145, 37082)
with coordinate systems:
▸ 'GSM9022972_B14', with elements:
GSM9022972_B14_hires_image (Images), GSM9022972_B14_lowres_image (Images), GSM9022972_B14 (Shapes)
▸ 'GSM9022972_B14_downscaled_hires', with elements:
GSM9022972_B14_hires_image (Images), GSM9022972_B14 (Shapes)
▸ 'GSM9022972_B14_downscaled_lowres', with elements:
GSM9022972_B14_lowres_image (Images), GSM9022972_B14 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("Pg7sR8MKG4MZSmMh") # 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/Pg7sR8MKG4MZSmMh
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Pg7sR8MKG4MZSmMh Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["Pg7sR8MKG4MZSmMh0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial gene expression and microenvironmental changes in the transition of nevus to melanoma→ 11 datasets · replicates
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- skin of body
- Condition
- cutaneous melanoma
- Modality
- RNA
- Observations
- 14,145
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 1,778 px
- mpp
- 7.873 µm/px
- Size
- 27 MB
- Sample ID
- GSM9022972
- License
- unknown
- Published
- Jun 2, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB