Vizgen MERSCOPE
Human basal ganglion
H22.30.001.CX.16.06.07.03
silver Interactive viewer ✓ Verified publication
print(sdata)
SpatialData object
├── Shapes
│ └── 'cell_circles': GeoDataFrame shape: (52196, 2) (2D shapes)
└── Tables
└── 'table': AnnData (52196, 314)
with coordinate systems:
▸ 'global', with elements:
cell_circles (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("lGDRFjc8oMDSoGSO") # 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/lGDRFjc8oMDSoGSO
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid lGDRFjc8oMDSoGSO Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["lGDRFjc8oMDSoGSO0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openMetadata
- Technology
- Vizgen MERSCOPE
- Organism
- human
- Tissue
- basal ganglion
- Modality
- RNA
- Observations
- 52,196
- Tier
- silver
- Size
- 15 MB
- Sample ID
- H22.30.001.CX.16.06.07.03
- License
- CC BY-NC 4.0 NonCommercial
- Published
- Sep 30, 2025
Cite this dataset
No linked publication found — please cite the data source: alleninstitute.github.io ↗.
Source: alleninstitute.github.io ↗ · License: CC BY-NC 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB