Visium
Human lung
GSM5255580
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM5255580_L2_hires_image': DataArray[cyx] (3, 2000, 1958)
│ └── 'GSM5255580_L2_lowres_image': DataArray[cyx] (3, 600, 587)
├── Shapes
│ └── 'GSM5255580_L2': GeoDataFrame shape: (2683, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2683, 36601)
with coordinate systems:
▸ 'GSM5255580_L2', with elements:
GSM5255580_L2_hires_image (Images), GSM5255580_L2_lowres_image (Images), GSM5255580_L2 (Shapes)
▸ 'GSM5255580_L2_downscaled_hires', with elements:
GSM5255580_L2_hires_image (Images), GSM5255580_L2 (Shapes)
▸ 'GSM5255580_L2_downscaled_lowres', with elements:
GSM5255580_L2_lowres_image (Images), GSM5255580_L2 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("VwOL9tzgUfcL5lGT0000")
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("VwOL9tzgUfcL5lGT") # 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 VwOL9tzgUfcL5lGT0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/VwOL9tzgUfcL5lGT
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid VwOL9tzgUfcL5lGTLicense: NCBI GEO policy
Part of collection
Cell type inference in human lung tissue by domain adaptation of single-cell and spatial transcriptomic data→ 2 datasets · other
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- lung
- Modality
- RNA
- Observations (spots)
- 2,683
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 1,958 × 2,000 px
- mpp
- 3.387 µm/px
- Size
- 33.4 MB
- Sample ID
- GSM5255580
- License
- NCBI GEO policy
- Published
- Jun 15, 2022
Cite this dataset
doi.org/10.1093/nar/gkac084 ↗ BibTeX
@article{geo:GSM5255580,
doi = {10.1093/nar/gkac084},
title = {GSM5255580},
year = {2022}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB