Stereo-seq
Human prefrontal cortex
GSM8330070
bronze Interactive viewer Provisional

print(sdata)
SpatialData object
├── Shapes
│ ├── 'D02175A6_cell_boundaries': GeoDataFrame shape: (82056, 1) (2D shapes)
│ ├── 'D02175A6_cell_boundaries_for_vitessce': GeoDataFrame shape: (82056, 2) (2D shapes)
│ └── 'D02175A6_square_025um': GeoDataFrame shape: (149263, 1) (2D shapes)
└── Tables
├── 'square_025um': AnnData (149263, 27052)
└── 'table': AnnData (82056, 27087)
with coordinate systems:
▸ 'global', with elements:
D02175A6_cell_boundaries (Shapes), D02175A6_cell_boundaries_for_vitessce (Shapes), D02175A6_square_025um (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("P0oI3CJGuoooEbx90000")
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("P0oI3CJGuoooEbx9") # 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 P0oI3CJGuoooEbx90000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/P0oI3CJGuoooEbx9
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid P0oI3CJGuoooEbx9 License: NCBI GEO policy
Metadata
- Technology
- Stereo-seq
- Organism
- human
- Tissue
- prefrontal cortex
- Modality
- RNA
- Observations
- 82,056
- Tier
- bronze
- Size
- 420 MB
- Sample ID
- GSM8330070
- License
- NCBI GEO policy
- Published
- Nov 12, 2024
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