Visium
Human prostate gland
GSE230282
bronze Interactive viewer H&E prostate cancer Provisional

print(sdata)
SpatialData object
├── Images
│ └── 'GSM7211257_EHU-W3_hires_image': DataArray[cyx] (3, 1501, 2000)
├── Shapes
│ └── 'GSM7211257_EHU-W3': GeoDataFrame shape: (4992, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4992, 37082)
with coordinate systems:
▸ 'GSM7211257_EHU-W3', with elements:
GSM7211257_EHU-W3_hires_image (Images), GSM7211257_EHU-W3 (Shapes)
▸ 'GSM7211257_EHU-W3_downscaled_hires', with elements:
GSM7211257_EHU-W3_hires_image (Images), GSM7211257_EHU-W3 (Shapes)
▸ 'GSM7211257_EHU-W3_downscaled_lowres', with elements:
GSM7211257_EHU-W3 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("G2Dau41bre59E2Gd0000")
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("G2Dau41bre59E2Gd") # 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 G2Dau41bre59E2Gd0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/G2Dau41bre59E2Gd
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid G2Dau41bre59E2Gd License: NCBI GEO policy
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- prostate gland
- Condition
- prostate cancer
- Modality
- RNA
- Observations (spots)
- 4,992
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,501 px
- mpp
- 5.387 µm/px
- Size
- 129 MB
- Sample ID
- GSE230282
- License
- NCBI GEO policy
- Published
- May 17, 2023
Cite this dataset
doi.org/10.3390/ijms24108955 ↗ BibTeX
@article{geo:GSE230282,
doi = {10.3390/ijms24108955},
title = {GSE230282},
year = {2023}
} Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB