Visium
Mouse liver
NCBI840
bronze Interactive viewer H&E ✓ Verified publication
print(sdata)
SpatialData object
├── Images
│ └── 'NCBI840_full_image': DataTree[cyx] (3, 10140, 9827), (3, 5070, 4913), (3, 2535, 2456), (3, 1267, 1228)
├── Shapes
│ └── 'NCBI840_spots': GeoDataFrame shape: (4992, 2) (2D shapes)
└── Tables
└── 'table': AnnData (4992, 31053)
with coordinate systems:
▸ 'global', with elements:
NCBI840_full_image (Images), NCBI840_spots (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("tsIx7g8JuVxi65g20000")
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("tsIx7g8JuVxi65g2") # 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 tsIx7g8JuVxi65g20000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/tsIx7g8JuVxi65g2
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid tsIx7g8JuVxi65g2License: CC BY-NC-SA 4.0 (noncommercial)
Part of collection
Multimodal decoding of human liver regeneration [st_mouse]→ 19 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- liver
- Modality
- RNA
- Observations (spots)
- 4,992
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 9,827 × 10,140 px
- mpp
- 0.847 µm/px
- Size
- 157 MB
- Sample ID
- NCBI840
- License
- CC BY-NC-SA 4.0 NonCommercial
- Published
- Feb 1, 2023
Cite this dataset
doi.org/10.1038/s41586-024-07376-2 ↗ BibTeX
@article{Matchett_2024,
title = {Multimodal decoding of human liver regeneration},
volume = {630},
ISSN = {1476-4687},
url = {http://dx.doi.org/10.1038/s41586-024-07376-2},
DOI = {10.1038/s41586-024-07376-2},
number = {8015},
journal = {Nature},
publisher = {Springer Science and Business Media LLC},
author = {Matchett, K. P. and Wilson-Kanamori, J. R. and Portman, J. R. and Kapourani, C. A. and Fercoq, F. and May, S. and Zajdel, E. and Beltran, M. and Sutherland, E. F. and Mackey, J. B. G. and Brice, M. and Wilson, G. C. and Wallace, S. J. and Kitto, L. and Younger, N. T. and Dobie, R. and Mole, D. J. and Oniscu, G. C. and Wigmore, S. J. and Ramachandran, P. and Vallejos, C. A. and Carragher, N. O. and Saeidinejad, M. M. and Quaglia, A. and Jalan, R. and Simpson, K. J. and Kendall, T. J. and Rule, J. A. and Lee, W. M. and Hoare, M. and Weston, C. J. and Marioni, J. C. and Teichmann, S. A. and Bird, T. G. and Carlin, L. M. and Henderson, N. C.},
year = {2024},
month = May,
pages = {158–165}
}Source: nature.com ↗ · License: CC BY-NC-SA 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB