Visium

Human lung

GSM9304482

bronze Interactive viewer H&E Provisional

Preview Client Lamin CLI

print(sdata)

SpatialData object
├── Images
│     ├── 'GSM9304482_18Wks_83_062712_S1_hires_image': DataArray[cyx] (3, 2000, 2000)
│     └── 'GSM9304482_18Wks_83_062712_S1_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│     └── 'GSM9304482_18Wks_83_062712_S1': GeoDataFrame shape: (3251, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (3251, 17943)
with coordinate systems:
    ▸ 'GSM9304482_18Wks_83_062712_S1', with elements:
        GSM9304482_18Wks_83_062712_S1_hires_image (Images), GSM9304482_18Wks_83_062712_S1_lowres_image (Images), GSM9304482_18Wks_83_062712_S1 (Shapes)
    ▸ 'GSM9304482_18Wks_83_062712_S1_downscaled_hires', with elements:
        GSM9304482_18Wks_83_062712_S1_hires_image (Images), GSM9304482_18Wks_83_062712_S1 (Shapes)
    ▸ 'GSM9304482_18Wks_83_062712_S1_downscaled_lowres', with elements:
        GSM9304482_18Wks_83_062712_S1_lowres_image (Images), GSM9304482_18Wks_83_062712_S1 (Shapes)

Install (Python 3.12+) Docs →

Python · sddb client

from sddb import Catalog

ds = Catalog().dataset("JhjQFA4yK9f8ueNo0000")
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("JhjQFA4yK9f8ueNo")   # 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 JhjQFA4yK9f8ueNo0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/JhjQFA4yK9f8ueNo

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid JhjQFA4yK9f8ueNo

Install (Python 3.12+) Docs →

License: NCBI GEO policy

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Part of collection

Spatial Transcriptomics of Human Fetal Lungs→

12 datasets · time course

Metadata

Technology: Visium
Organism: human
Tissue: lung
Modality: RNA
Observations (spots): 3,251
Tier: bronze
Chemistry: Visium v1
Resolution: 2,000 × 2,000 px
mpp: 3.302 µm/px
Size: 29.6 MB
Sample ID: GSM9304482
License: NCBI GEO policy
Published: Dec 5, 2025

Cite this dataset

doi.org/10.1038/s41598-025-34594-z ↗

BibTeX

@article{geo:GSM9304482,
  doi = {10.1038/s41598-025-34594-z},
  title = {GSM9304482},
  year = {2026}
}

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