Visium
Mouse heart
NCBI787
bronze Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'NCBI787_full_image': DataTree[cyx] (3, 12600, 13222), (3, 6300, 6611), (3, 3150, 3305), (3, 1575, 1652)
├── Shapes
│ └── 'NCBI787_spots': GeoDataFrame shape: (2823, 2) (2D shapes)
└── Tables
└── 'table': AnnData (2823, 31899)
with coordinate systems:
▸ 'global', with elements:
NCBI787_full_image (Images), NCBI787_spots (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("rTQo6BzbVNzidqie") # 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/rTQo6BzbVNzidqie
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid rTQo6BzbVNzidqie Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["rTQo6BzbVNzidqie0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
YAP Drives Assembly of a Spatially Colocalized Cellular Triad Required for Heart Renewal→ 2 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- heart
- Modality
- RNA
- Observations
- 2,823
- Tier
- bronze
- Chemistry
- Visium v1
- Resolution
- 13,222 × 12,600 px
- mpp
- 0.647 µm/px
- Size
- 440 MB
- Sample ID
- NCBI787
- License
- CC BY-NC-SA 4.0 NonCommercial
- Published
- Jan 11, 2024
Cite this dataset
No linked publication found — please cite the data source.
License: CC BY-NC-SA 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB