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Visium

Human peritoneum

GSM8452849

silver Interactive viewer H&E pancreatic ductal adenocarcinoma No linked publication
Human peritoneum preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM8452849_Pt-1C_hires_image': DataArray[cyx] (3, 2000, 1998)
│     └── 'GSM8452849_Pt-1C_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│     └── 'GSM8452849_Pt-1C': GeoDataFrame shape: (3047, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (3047, 36601)
with coordinate systems:
    ▸ 'GSM8452849_Pt-1C', with elements:
        GSM8452849_Pt-1C_hires_image (Images), GSM8452849_Pt-1C_lowres_image (Images), GSM8452849_Pt-1C (Shapes)
    ▸ 'GSM8452849_Pt-1C_downscaled_hires', with elements:
        GSM8452849_Pt-1C_hires_image (Images), GSM8452849_Pt-1C (Shapes)
    ▸ 'GSM8452849_Pt-1C_downscaled_lowres', with elements:
        GSM8452849_Pt-1C_lowres_image (Images), GSM8452849_Pt-1C (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("DzBCJi9UcPYlJww00000")
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("DzBCJi9UcPYlJww0")   # 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 DzBCJi9UcPYlJww00000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/DzBCJi9UcPYlJww0

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid DzBCJi9UcPYlJww0

License: NCBI GEO policy

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Metadata

Technology
Visium
Organism
human
Tissue
peritoneum
Condition
pancreatic ductal adenocarcinoma
Modality
RNA
Observations (spots)
3,047
Tier
silver
Chemistry
Visium v1
Resolution
1,998 × 2,000 px
mpp
3.493 µm/px
Size
35.8 MB
Sample ID
GSM8452849
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