Vizgen MERSCOPE
Mouse breast
GSM8830801
bronze Interactive viewer breast cancer Provisional
print(sdata)
SpatialData object
├── Shapes
│ └── 'cell_circles': GeoDataFrame shape: (663145, 2) (2D shapes)
└── Tables
└── 'table': AnnData (663145, 258)
with coordinate systems:
▸ 'global', with elements:
cell_circles (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("7V5RQ9g6tcEuUfaL0000")
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("7V5RQ9g6tcEuUfaL") # 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 7V5RQ9g6tcEuUfaL0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/7V5RQ9g6tcEuUfaL
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 7V5RQ9g6tcEuUfaLLicense: NCBI GEO policy
Metadata
- Technology
- Vizgen MERSCOPE
- Organism
- mouse
- Tissue
- breast
- Condition
- breast cancer
- Modality
- RNA
- Observations (cells)
- 663,145
- Tier
- bronze
- Size
- 210 MB
- Sample ID
- GSM8830801
- License
- NCBI GEO policy
- Published
- Feb 11, 2026
Cite this dataset
doi.org/10.1038/s41467-026-70242-4 ↗ BibTeX
@article{geo:GSM8830801,
doi = {10.1038/s41467-026-70242-4},
title = {GSM8830801},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB