Visium
Human lung
GSM8452858
silver Interactive viewer H&E pancreatic ductal adenocarcinoma No linked publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM8452858_Pt-4C_hires_image': DataArray[cyx] (3, 2000, 1883)
│ └── 'GSM8452858_Pt-4C_lowres_image': DataArray[cyx] (3, 600, 565)
├── Shapes
│ └── 'GSM8452858_Pt-4C': GeoDataFrame shape: (2623, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2623, 36601)
with coordinate systems:
▸ 'GSM8452858_Pt-4C', with elements:
GSM8452858_Pt-4C_hires_image (Images), GSM8452858_Pt-4C_lowres_image (Images), GSM8452858_Pt-4C (Shapes)
▸ 'GSM8452858_Pt-4C_downscaled_hires', with elements:
GSM8452858_Pt-4C_hires_image (Images), GSM8452858_Pt-4C (Shapes)
▸ 'GSM8452858_Pt-4C_downscaled_lowres', with elements:
GSM8452858_Pt-4C_lowres_image (Images), GSM8452858_Pt-4C (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("pMSSS6prqdBwHd3C") # 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/pMSSS6prqdBwHd3C
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid pMSSS6prqdBwHd3C Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["pMSSS6prqdBwHd3C0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Spatial mapping of transcriptomic and lineage plasticity in metastatic pancreatic cancer→ 57 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- lung
- Condition
- pancreatic ductal adenocarcinoma
- Modality
- RNA
- Observations
- 2,623
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,883 × 2,000 px
- mpp
- 3.541 µm/px
- Size
- 38 MB
- Sample ID
- GSM8452858
- License
- unknown
- Published
- Feb 21, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB