Vizgen MERSCOPE
Human pancreas
GSM9771975
bronze Interactive viewer type 2 diabetes mellitus Provisional
print(sdata)
SpatialData object
├── Shapes
│ └── 'cells': GeoDataFrame shape: (22969, 2) (2D shapes)
└── Tables
└── 'table': AnnData (22969, 300)
with coordinate systems:
▸ 'global', with elements:
cells (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("Q32kyvYEQfV26w4P0000")
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("Q32kyvYEQfV26w4P") # 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 Q32kyvYEQfV26w4P0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/Q32kyvYEQfV26w4P
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid Q32kyvYEQfV26w4PLicense: NCBI GEO policy
Metadata
- Technology
- Vizgen MERSCOPE
- Organism
- human
- Tissue
- pancreas
- Condition
- type 2 diabetes mellitus
- Modality
- RNA
- Observations (cells)
- 22,969
- Tier
- bronze
- Size
- 8.1 MB
- Sample ID
- GSM9771975
- License
- NCBI GEO policy
- Published
- Jun 2, 2026
Cite this dataset
doi.org/10.64898/2026.06.30.733275 ↗ BibTeX
@article{geo:GSE333737,
doi = {10.64898/2026.06.30.733275},
title = {GSM9771971},
year = {2026}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB