Visium

Human skin of body

GSM8983043

bronze H&E Provisional

Preview Client Lamin CLI

print(sdata)

SpatialData object
├── Images
│     ├── 'GSM8983043_Visium-Skin_hires_image': DataArray[cyx] (3, 2000, 1819)
│     └── 'GSM8983043_Visium-Skin_lowres_image': DataArray[cyx] (3, 600, 546)
├── Shapes
│     └── 'GSM8983043_Visium-Skin': GeoDataFrame shape: (2581, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (2581, 36601)
with coordinate systems:
    ▸ 'GSM8983043_Visium-Skin', with elements:
        GSM8983043_Visium-Skin_hires_image (Images), GSM8983043_Visium-Skin_lowres_image (Images), GSM8983043_Visium-Skin (Shapes)
    ▸ 'GSM8983043_Visium-Skin_downscaled_hires', with elements:
        GSM8983043_Visium-Skin_hires_image (Images), GSM8983043_Visium-Skin (Shapes)
    ▸ 'GSM8983043_Visium-Skin_downscaled_lowres', with elements:
        GSM8983043_Visium-Skin_lowres_image (Images), GSM8983043_Visium-Skin (Shapes)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("wldMWskeCiucijND0001")
ds.elements()          # inspect without downloading
sdata = ds.to_sdata()  # cached locally, reused
print(sdata)

Install (Python 3.12+) Docs →

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("wldMWskeCiucijND")   # 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

Install (Python 3.12+) Docs →

Shell

# sddb client: download the .zarr into data/
sddb-cli download wldMWskeCiucijND0001 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/wldMWskeCiucijND

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid wldMWskeCiucijND

Install (Python 3.12+) Docs →

License: NCBI GEO policy

View on Lamin ↗ Flag a data issue

Part of collection

Targeting circulating mechanoresponsive monocytes and macrophages to reduce fibrosis→

2 datasets · other

Metadata

Technology: Visium
Organism: human
Tissue: skin of body
Modality: RNA
Observations (spots): 2,581
Tier: bronze
Chemistry: Visium v1
Resolution: 1,819 × 2,000 px
mpp: 4.044 µm/px
Size: 12.6 MB
Sample ID: GSM8983043
License: NCBI GEO policy
Published: May 17, 2025

Cite this dataset

doi.org/10.1038/s41551-025-01479-5 ↗

BibTeX

@article{geo:GSM8983043,
  doi = {10.1038/s41551-025-01479-5},
  title = {GSM8983043},
  year = {2026}
}

Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB