Visium
Mouse lung
GSM7454042
silver Interactive viewer H&E pulmonary fibrosis No linked publication

print(sdata)
SpatialData object
├── Images
│ ├── 'GSM7454042_YoungD14_YoungD14_hires_image': DataArray[cyx] (3, 1986, 2000)
│ └── 'GSM7454042_YoungD14_YoungD14_lowres_image': DataArray[cyx] (3, 596, 600)
├── Shapes
│ └── 'GSM7454042_YoungD14_YoungD14': GeoDataFrame shape: (1254, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1254, 32285)
with coordinate systems:
▸ 'GSM7454042_YoungD14_YoungD14', with elements:
GSM7454042_YoungD14_YoungD14_hires_image (Images), GSM7454042_YoungD14_YoungD14_lowres_image (Images), GSM7454042_YoungD14_YoungD14 (Shapes)
▸ 'GSM7454042_YoungD14_YoungD14_downscaled_hires', with elements:
GSM7454042_YoungD14_YoungD14_hires_image (Images), GSM7454042_YoungD14_YoungD14 (Shapes)
▸ 'GSM7454042_YoungD14_YoungD14_downscaled_lowres', with elements:
GSM7454042_YoungD14_YoungD14_lowres_image (Images), GSM7454042_YoungD14_YoungD14 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("9lfNOWVM4yHBv8lU0000")
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("9lfNOWVM4yHBv8lU") # 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 9lfNOWVM4yHBv8lU0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/9lfNOWVM4yHBv8lU
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 9lfNOWVM4yHBv8lU License: NCBI GEO policy
Part of collection
Spatial RNA sequencing of bleomycin-treated young and old mice lungs at day 14 and day 28 post injection→ 8 datasets · time course
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- lung
- Condition
- pulmonary fibrosis
- Modality
- RNA
- Observations (spots)
- 1,254
- Tier
- silver
- Chemistry
- Visium v1
- Resolution
- 2,000 × 1,986 px
- mpp
- 3.381 µm/px
- Size
- 13.9 MB
- Sample ID
- GSM7454042
- License
- NCBI GEO policy
- Published
- Jun 30, 2025
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