Stereo-seq
Mouse eye
GSM9579206
bronze Interactive viewer Provisional
print(sdata)
SpatialData object
├── Shapes
│ ├── 'D04065E4_cell_boundaries': GeoDataFrame shape: (24086, 1) (2D shapes)
│ ├── 'D04065E4_cell_boundaries_for_vitessce': GeoDataFrame shape: (24086, 2) (2D shapes)
│ └── 'D04065E4_square_025um': GeoDataFrame shape: (7675, 1) (2D shapes)
└── Tables
├── 'square_025um': AnnData (7675, 24611)
└── 'table': AnnData (24086, 26588)
with coordinate systems:
▸ 'global', with elements:
D04065E4_cell_boundaries (Shapes), D04065E4_cell_boundaries_for_vitessce (Shapes), D04065E4_square_025um (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("jDg6noEtVYOMjzmE0000")
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("jDg6noEtVYOMjzmE") # 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 jDg6noEtVYOMjzmE0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/jDg6noEtVYOMjzmE
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid jDg6noEtVYOMjzmELicense: NCBI GEO policy
Metadata
- Technology
- Stereo-seq
- Organism
- mouse
- Tissue
- eye
- Modality
- RNA
- Observations
- 24,086
- Tier
- bronze
- Size
- 48.2 MB
- Sample ID
- GSM9579206
- License
- NCBI GEO policy
- Published
- Jul 26, 2026
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