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Visium

Human peritoneum

GSM8452855

silver Interactive viewer H&E pancreatic ductal adenocarcinoma No linked publication
Human peritoneum preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM8452855_Pt-3C_hires_image': DataArray[cyx] (3, 2000, 1968)
│     └── 'GSM8452855_Pt-3C_lowres_image': DataArray[cyx] (3, 600, 591)
├── Shapes
│     └── 'GSM8452855_Pt-3C': GeoDataFrame shape: (2537, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (2537, 36601)
with coordinate systems:
    ▸ 'GSM8452855_Pt-3C', with elements:
        GSM8452855_Pt-3C_hires_image (Images), GSM8452855_Pt-3C_lowres_image (Images), GSM8452855_Pt-3C (Shapes)
    ▸ 'GSM8452855_Pt-3C_downscaled_hires', with elements:
        GSM8452855_Pt-3C_hires_image (Images), GSM8452855_Pt-3C (Shapes)
    ▸ 'GSM8452855_Pt-3C_downscaled_lowres', with elements:
        GSM8452855_Pt-3C_lowres_image (Images), GSM8452855_Pt-3C (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("q8tr4nKRyCzd9VR70000")
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("q8tr4nKRyCzd9VR7")   # 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 q8tr4nKRyCzd9VR70000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/q8tr4nKRyCzd9VR7

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid q8tr4nKRyCzd9VR7

License: NCBI GEO policy

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Metadata

Technology
Visium
Organism
human
Tissue
peritoneum
Condition
pancreatic ductal adenocarcinoma
Modality
RNA
Observations (spots)
2,537
Tier
silver
Chemistry
Visium v1
Resolution
1,968 × 2,000 px
mpp
3.490 µm/px
Size
31.0 MB
Sample ID
GSM8452855
License
NCBI GEO policy
Published
Feb 21, 2025

Cite this dataset

No linked publication found — please cite the data source: NCBI GEO ↗.

Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB