Visium
Human skin of body
GSM9060733
bronze Interactive viewer H&E cutaneous melanoma Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9060733_AdjIII-0022_processed_hires_image': DataArray[cyx] (3, 1775, 2000)
│ └── 'GSM9060733_AdjIII-0022_processed_lowres_image': DataArray[cyx] (3, 533, 600)
├── Shapes
│ └── 'GSM9060733_AdjIII-0022_processed': GeoDataFrame shape: (2783, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2783, 18085)
with coordinate systems:
▸ 'GSM9060733_AdjIII-0022_processed', with elements:
GSM9060733_AdjIII-0022_processed_hires_image (Images), GSM9060733_AdjIII-0022_processed_lowres_image (Images), GSM9060733_AdjIII-0022_processed (Shapes)
▸ 'GSM9060733_AdjIII-0022_processed_downscaled_hires', with elements:
GSM9060733_AdjIII-0022_processed_hires_image (Images), GSM9060733_AdjIII-0022_processed (Shapes)
▸ 'GSM9060733_AdjIII-0022_processed_downscaled_lowres', with elements:
GSM9060733_AdjIII-0022_processed_lowres_image (Images), GSM9060733_AdjIII-0022_processed (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("IFQycmvT75TLBoN8") # 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/IFQycmvT75TLBoN8
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid IFQycmvT75TLBoN8 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["IFQycmvT75TLBoN80000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial tumour-immune ecosystems shape the efficacy of anti-PD1 immunotherapy in primary cutaneous melanoma [Spatial Transcriptomics]→ 4 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- skin of body
- Condition
- cutaneous melanoma
- Modality
- RNA
- Observations
- 2,783
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,775 px
- mpp
- 4.226 µm/px
- Size
- 64 MB
- Sample ID
- GSM9060733
- License
- unknown
- Published
- Jun 23, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB