Visium
Human decidua basalis
GSM9080378
bronze Interactive viewer H&E Provisional
print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9080378_148073_hires_image': DataArray[cyx] (3, 2000, 2000)
│ └── 'GSM9080378_148073_lowres_image': DataArray[cyx] (3, 600, 600)
├── Shapes
│ └── 'GSM9080378_148073': GeoDataFrame shape: (1800, 2) (2D shapes)
└── Tables
└── 'table': AnnData (1800, 36601)
with coordinate systems:
▸ 'GSM9080378_148073', with elements:
GSM9080378_148073_hires_image (Images), GSM9080378_148073_lowres_image (Images), GSM9080378_148073 (Shapes)
▸ 'GSM9080378_148073_downscaled_hires', with elements:
GSM9080378_148073_hires_image (Images), GSM9080378_148073 (Shapes)
▸ 'GSM9080378_148073_downscaled_lowres', with elements:
GSM9080378_148073_lowres_image (Images), GSM9080378_148073 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("3na1ZnDWzwzDO23M0000")
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("3na1ZnDWzwzDO23M") # 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 3na1ZnDWzwzDO23M0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/3na1ZnDWzwzDO23M
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 3na1ZnDWzwzDO23MLicense: NCBI GEO policy
Part of collection
Spatial transcriptomics of the human first trimester decidua→ 4 datasets · comparison
Metadata
- Technology
- Visium
- Organism
- human
- Tissue
- decidua basalis
- Modality
- RNA
- Observations (spots)
- 1,800
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 2,000 px
- mpp
- 3.960 µm/px
- Size
- 39.3 MB
- Sample ID
- GSM9080378
- License
- NCBI GEO policy
- Published
- Jul 15, 2026
Cite this dataset
doi.org/10.1093/humrep/deag078 ↗ BibTeX
@article{Moser_2026,
title = {Remodeling lesions locate at sites of strong extravillous trophoblast invasion and are associated with neutrophil presence in the human first-trimester decidua},
volume = {41},
ISSN = {1460-2350},
url = {http://dx.doi.org/10.1093/humrep/deag078},
DOI = {10.1093/humrep/deag078},
number = {7},
journal = {Human Reproduction},
publisher = {Oxford University Press (OUP)},
author = {Moser, G and Kummer, D and Gruber, M and Hartmann, T and Forstner, D and Guettler, J and Siwetz, M and Sundl, M and Daxboeck, C and Kienesberger, S and Kargl, J and Deutsch, A and Fessler, J and Huppertz, B and Feichtinger, J and Gauster, M},
year = {2026},
month = June,
pages = {1078–1096}
}Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB