Visium
Human uterine cervix
Visium expression matrices (WK3)
bronze Under review Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'sddb_rbkikgei2b_hires_image': DataArray[cyx] (3, 1868, 2000)
│ └── 'sddb_rbkikgei2b_lowres_image': DataArray[cyx] (3, 561, 600)
├── Shapes
│ └── 'sddb_rbkikgei2b': GeoDataFrame shape: (1847, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1847, 19144)
with coordinate systems:
▸ 'sddb_rbkikgei2b', with elements:
sddb_rbkikgei2b_hires_image (Images), sddb_rbkikgei2b_lowres_image (Images), sddb_rbkikgei2b (Shapes)
▸ 'sddb_rbkikgei2b_downscaled_hires', with elements:
sddb_rbkikgei2b_hires_image (Images), sddb_rbkikgei2b (Shapes)
▸ 'sddb_rbkikgei2b_downscaled_lowres', with elements:
sddb_rbkikgei2b_lowres_image (Images), sddb_rbkikgei2b (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("jbWN10k2pXILM2la0000")
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("jbWN10k2pXILM2la") # 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 jbWN10k2pXILM2la0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/jbWN10k2pXILM2la
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid jbWN10k2pXILM2laLicense: CC BY 4.0
Metadata
- Technology
- Visium
- Vendor
- 10x Genomics
- Organism
- human
- Tissue
- uterine cervix
- Modality
- RNA
- Observations (spots)
- 1,847
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,868 px
- mpp
- 3.685 µm/px
- Size
- 28.4 MB
- Sample ID
- 33980842:WK3
- License
- CC BY 4.0
- Published
- Sep 26, 2026
- Review
- disease state per sample (normal cervix vs LSIL grade) not stated; WK<n> labels unexplained
Cite this dataset
doi.org/10.6084/m9.figshare.33980842.v2 ↗ BibTeX
@article{figshare:33980842,
doi = {10.6084/m9.figshare.33980842.v2},
title = {Visium expression matrices (WK2)},
year = {2026}
}Source: figshare.com ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB