Visium HD
Human skin of body
GSM9031942
silver Interactive viewer H&E pustulosis palmaris et plantaris ✓ Verified publication
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9031942_square_002um_hires_image': DataArray[cyx] (3, 4082, 6000)
│ └── 'GSM9031942_square_002um_lowres_image': DataArray[cyx] (3, 408, 600)
├── Shapes
│ ├── 'GSM9031942_square_002um_square_002um': GeoDataFrame shape: (1311995, 1) (2D shapes)
│ ├── 'GSM9031942_square_002um_square_008um': GeoDataFrame shape: (84472, 1) (2D shapes)
│ ├── 'GSM9031942_square_002um_square_016um': GeoDataFrame shape: (21980, 1) (2D shapes)
│ └── 'GSM9031942_square_002um_square_016um_for_vitessce': GeoDataFrame shape: (21980, 2) (2D shapes)
└── Tables
├── 'square_002um': AnnData (1311995, 18085)
├── 'square_008um': AnnData (84472, 18085)
└── 'square_016um': AnnData (21980, 18085)
with coordinate systems:
▸ 'GSM9031942_square_002um', with elements:
GSM9031942_square_002um_hires_image (Images), GSM9031942_square_002um_lowres_image (Images), GSM9031942_square_002um_square_002um (Shapes), GSM9031942_square_002um_square_008um (Shapes), GSM9031942_square_002um_square_016um (Shapes), GSM9031942_square_002um_square_016um_for_vitessce (Shapes)
▸ 'GSM9031942_square_002um_downscaled_hires', with elements:
GSM9031942_square_002um_hires_image (Images), GSM9031942_square_002um_square_002um (Shapes), GSM9031942_square_002um_square_008um (Shapes), GSM9031942_square_002um_square_016um (Shapes), GSM9031942_square_002um_square_016um_for_vitessce (Shapes)
▸ 'GSM9031942_square_002um_downscaled_lowres', with elements:
GSM9031942_square_002um_lowres_image (Images), GSM9031942_square_002um_square_002um (Shapes), GSM9031942_square_002um_square_008um (Shapes), GSM9031942_square_002um_square_016um (Shapes), GSM9031942_square_002um_square_016um_for_vitessce (Shapes) Load in Python
import lamindb as ln
db = ln.DB("scverse/spatialdata-db")
artifact = db.Artifact.get("CSPSlmuINB8Omplh") # 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 Load from the CLI
# one-shot: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/CSPSlmuINB8Omplh
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid CSPSlmuINB8Omplh Load with the Python client
# pip install git+https://github.com/theislab/spatialdata-db-client
from sddb import Catalog
ds = Catalog().cohort(uids=["CSPSlmuINB8Omplh0000"])[0]
ds.elements() # inspect without downloading
sdata = ds.load(lazy=False) # copy to the local cache and openPart of collection
Immune Dynamics in Palmoplantar Pustulosis Unveiled by Single-Cell and High-Resolution Spatial Transcriptomics [Spatial Transcriptomics]→ 2 datasets · publication
Metadata
- Technology
- Visium HD
- Organism
- human
- Tissue
- skin of body
- Condition
- pustulosis palmaris et plantaris
- Modality
- RNA
- Observations
- 84,472
- Tier
- silver
- Resolution
- 6,000 × 4,082 px
- mpp
- 0.946 µm/px
- Size
- 210 MB
- Sample ID
- GSM9031942
- License
- unknown
- Published
- Mar 9, 2026
Cite this dataset
No linked publication found — please cite the data source: NCBI GEO ↗.
Source: NCBI GEO ↗ · Reprocessed to SpatialData by SpatialData-DB