Stereo-seq
Mouse brain
GSM8659314
silver Interactive viewer No linked publication
print(sdata)
SpatialData object
├── Shapes
│ ├── 'SS200000838BL_C3_cell_boundaries': GeoDataFrame shape: (58274, 1) (2D shapes)
│ ├── 'SS200000838BL_C3_cell_boundaries_for_vitessce': GeoDataFrame shape: (58274, 2) (2D shapes)
│ └── 'SS200000838BL_C3_square_025um': GeoDataFrame shape: (42518, 1) (2D shapes)
└── Tables
├── 'square_025um': AnnData (42518, 24099)
└── 'table': AnnData (58274, 24560)
with coordinate systems:
▸ 'global', with elements:
SS200000838BL_C3_cell_boundaries (Shapes), SS200000838BL_C3_cell_boundaries_for_vitessce (Shapes), SS200000838BL_C3_square_025um (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("8L53Xe3W7E6QcpsD0000")
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("8L53Xe3W7E6QcpsD") # 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 8L53Xe3W7E6QcpsD0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/8L53Xe3W7E6QcpsD
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 8L53Xe3W7E6QcpsDLicense: NCBI GEO policy
Part of collection
Spatiotemporal transcriptomic niches of complement pathway and serine protease inhibitor activation in aging and infection→ 165 datasets · other
Metadata
- Technology
- Stereo-seq
- Organism
- mouse
- Tissue
- brain
- Modality
- RNA
- Observations
- 58,274
- Tier
- silver
- Size
- 96.4 MB
- Sample ID
- GSM8659314
- License
- NCBI GEO policy
- Published
- Aug 13, 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