Visium
Mouse parathyroid gland
GSM9008656
silver Interactive viewer H&E primary hyperparathyroidism No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'GSM9008656_MUT-3_315F_hires_image': DataArray[cyx] (3, 2000, 1786)
├── Shapes
│ └── 'GSM9008656_MUT-3_315F': GeoDataFrame shape: (1531, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1531, 19465)
with coordinate systems:
▸ 'GSM9008656_MUT-3_315F', with elements:
GSM9008656_MUT-3_315F_hires_image (Images), GSM9008656_MUT-3_315F (Shapes)
▸ 'GSM9008656_MUT-3_315F_downscaled_hires', with elements:
GSM9008656_MUT-3_315F_hires_image (Images), GSM9008656_MUT-3_315F (Shapes)
▸ 'GSM9008656_MUT-3_315F_downscaled_lowres', with elements:
GSM9008656_MUT-3_315F (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("0bh4K9sFt7QI8xSS0000")
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("0bh4K9sFt7QI8xSS") # 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 0bh4K9sFt7QI8xSS0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/0bh4K9sFt7QI8xSS
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 0bh4K9sFt7QI8xSSLicense: NCBI GEO policy
Part of collection
Spatial Transcriptomic Analysis of Mouse Parathyroid Gland Cells Expressing an Activating Variant of Gcm2→ 8 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- parathyroid gland
- Condition
- primary hyperparathyroidism
- Modality
- RNA
- Observations (spots)
- 1,531
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 1,786 × 2,000 px
- mpp
- 3.835 µm/px
- Size
- 9.6 MB
- Sample ID
- GSM9008656
- License
- NCBI GEO policy
- Published
- Nov 13, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB