Visium
Mouse parathyroid gland
GSM9008651
silver Interactive viewer H&E No linked publication
print(sdata)
SpatialData object
├── Images
│ └── 'GSM9008651_WT-2_260M_hires_image': DataArray[cyx] (3, 2000, 2000)
├── Shapes
│ └── 'GSM9008651_WT-2_260M': GeoDataFrame shape: (230, 2) (2D shapes)
└── Tables
└── 'table': AnnData (230, 19465)
with coordinate systems:
▸ 'GSM9008651_WT-2_260M', with elements:
GSM9008651_WT-2_260M_hires_image (Images), GSM9008651_WT-2_260M (Shapes)
▸ 'GSM9008651_WT-2_260M_downscaled_hires', with elements:
GSM9008651_WT-2_260M_hires_image (Images), GSM9008651_WT-2_260M (Shapes)
▸ 'GSM9008651_WT-2_260M_downscaled_lowres', with elements:
GSM9008651_WT-2_260M (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("7bq19TPPrsvNVbmt") # 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/7bq19TPPrsvNVbmt
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 7bq19TPPrsvNVbmt Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["7bq19TPPrsvNVbmt0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart 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
- Modality
- RNA
- Observations
- 230
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 2,000 px
- mpp
- 6.076 µm/px
- Size
- 11 MB
- Sample ID
- GSM9008651
- License
- unknown
- Published
- Nov 13, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB