Visium
Human ovary
GSM8292465
bronze Interactive viewer H&E classic galactosemia Provisional
print(sdata)
SpatialData object
├── Images
│ └── 'GSM8292465_CG5_hires_image': DataArray[cyx] (3, 2000, 2000)
├── Shapes
│ └── 'GSM8292465_CG5': GeoDataFrame shape: (1225, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1225, 18085)
with coordinate systems:
▸ 'GSM8292465_CG5', with elements:
GSM8292465_CG5_hires_image (Images), GSM8292465_CG5 (Shapes)
▸ 'GSM8292465_CG5_downscaled_hires', with elements:
GSM8292465_CG5_hires_image (Images), GSM8292465_CG5 (Shapes)
▸ 'GSM8292465_CG5_downscaled_lowres', with elements:
GSM8292465_CG5 (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("RX1s0DuFH65wTEL1") # 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/RX1s0DuFH65wTEL1
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid RX1s0DuFH65wTEL1 Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["RX1s0DuFH65wTEL10000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Single-nucleus and spatial transcriptomics of human ovary: Molecular insights into signaling pathways underlying primary ovarian insufficiency in classic galactosemia [Spatial transcriptomics]→ 6 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- ovary
- Condition
- classic galactosemia
- Modality
- RNA
- Observations
- 1,225
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 2,000 px
- mpp
- 5.496 µm/px
- Size
- 35 MB
- Sample ID
- GSM8292465
- License
- unknown
- Published
- Feb 19, 2025
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB