Visium HD
Mouse ovary
GSM9229332
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Shapes
│ ├── 'GSM9229332_P21_square_008um': GeoDataFrame shape: (178952, 1) (2D shapes)
│ └── 'GSM9229332_P21_square_008um_for_vitessce': GeoDataFrame shape: (178952, 2) (2D shapes)
└── Tables
└── 'square_008um': AnnData (178952, 19059)
with coordinate systems:
▸ 'GSM9229332_P21', with elements:
GSM9229332_P21_square_008um (Shapes), GSM9229332_P21_square_008um_for_vitessce (Shapes)
▸ 'GSM9229332_P21_downscaled_hires', with elements:
GSM9229332_P21_square_008um (Shapes), GSM9229332_P21_square_008um_for_vitessce (Shapes)
▸ 'GSM9229332_P21_downscaled_lowres', with elements:
GSM9229332_P21_square_008um (Shapes), GSM9229332_P21_square_008um_for_vitessce (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("W5KL5YA2KL2praMp") # 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/W5KL5YA2KL2praMp
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid W5KL5YA2KL2praMp Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["W5KL5YA2KL2praMp0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and open Part of collection
Single-cell-scale spatial transcriptome of the developing and adult mouse ovary→ 8 datasets · other
Metadata
- Technology
- Visium HD
- Organism
- mouse
- Tissue
- ovary
- Modality
- RNA
- Observations
- 178,952
- Tier
- silver
- Size
- 772 MB
- Sample ID
- GSM9229332
- License
- unknown
- Published
- Oct 14, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB