Visium
Human peritoneum
GSM8452895
silver Interactive viewer H&E pancreatic ductal adenocarcinoma No linked publication

print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8452895_Pt-13E_hires_image': DataArray[cyx] (3, 1929, 2000)
│ └── 'GSM8452895_Pt-13E_lowres_image': DataArray[cyx] (3, 579, 600)
├── Shapes
│ └── 'GSM8452895_Pt-13E': GeoDataFrame shape: (2883, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2883, 36601)
with coordinate systems:
▸ 'GSM8452895_Pt-13E', with elements:
GSM8452895_Pt-13E_hires_image (Images), GSM8452895_Pt-13E_lowres_image (Images), GSM8452895_Pt-13E (Shapes)
▸ 'GSM8452895_Pt-13E_downscaled_hires', with elements:
GSM8452895_Pt-13E_hires_image (Images), GSM8452895_Pt-13E (Shapes)
▸ 'GSM8452895_Pt-13E_downscaled_lowres', with elements:
GSM8452895_Pt-13E_lowres_image (Images), GSM8452895_Pt-13E (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("ux78FEOfEhOtiOCm0000")
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("ux78FEOfEhOtiOCm") # 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 ux78FEOfEhOtiOCm0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/ux78FEOfEhOtiOCm
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid ux78FEOfEhOtiOCm License: NCBI GEO policy
Part of collection
Spatial mapping of transcriptomic and lineage plasticity in metastatic pancreatic cancer→ 57 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- peritoneum
- Condition
- pancreatic ductal adenocarcinoma
- Modality
- RNA
- Observations (spots)
- 2,883
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,929 px
- mpp
- 3.474 µm/px
- Size
- 49.0 MB
- Sample ID
- GSM8452895
- 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