Visium
Mouse uterus
GSM9191330
bronze Interactive viewer H&E Provisional

print(sdata)
SpatialData object
├── Images
│ ├── 'GSM9191330_hires_image': DataArray[cyx] (3, 1855, 2000)
│ └── 'GSM9191330_lowres_image': DataArray[cyx] (3, 557, 600)
├── Shapes
│ └── 'GSM9191330': GeoDataFrame shape: (508, 2) (2D shapes)
└── Tables
└── 'table': AnnData (508, 32285)
with coordinate systems:
▸ 'GSM9191330', with elements:
GSM9191330_hires_image (Images), GSM9191330_lowres_image (Images), GSM9191330 (Shapes)
▸ 'GSM9191330_downscaled_hires', with elements:
GSM9191330_hires_image (Images), GSM9191330 (Shapes)
▸ 'GSM9191330_downscaled_lowres', with elements:
GSM9191330_lowres_image (Images), GSM9191330 (Shapes) Python · sddb client
from sddb import Catalog
ds = Catalog().dataset("lhbuZlbB3lRNHaVU0000")
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("lhbuZlbB3lRNHaVU") # 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 lhbuZlbB3lRNHaVU0000 --dest data/
# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/lhbuZlbB3lRNHaVU
# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid lhbuZlbB3lRNHaVU License: NCBI GEO policy
Part of collection
Mouse uterine gene expressions during peri-implantation period→ 3 datasets · other
Metadata
- Technology
- Visium
- Organism
- mouse
- Tissue
- uterus
- Modality
- RNA
- Observations (spots)
- 508
- Tier
- bronze
- Chemistry
- Visium v1
- Magnification
- other
- Resolution
- 2,000 × 1,855 px
- mpp
- 3.621 µm/px
- Size
- 14.4 MB
- Sample ID
- GSM9191330
- License
- NCBI GEO policy
- Published
- Oct 8, 2024
Cite this dataset
doi.org/10.1172/jci.insight.181865 ↗ BibTeX
@article{Aikawa_2024,
title = {Spatiotemporally distinct roles of cyclooxygenase-1 and cyclooxygenase-2 at fetomaternal interface in mice},
volume = {9},
ISSN = {2379-3708},
url = {http://dx.doi.org/10.1172/jci.insight.181865},
DOI = {10.1172/jci.insight.181865},
number = {19},
journal = {JCI Insight},
publisher = {American Society for Clinical Investigation},
author = {Aikawa, Shizu and Matsuo, Mitsunori and Akaeda, Shun and Sugimoto, Yukihiko and Arita, Makoto and Isobe, Yosuke and Sugiura, Yuki and Taira, Shu and Maeda, Rae and Shimizu-Hirota, Ryoko and Takeda, Norihiko and Hiratsuka, Daiki and He, Xueting and Ishizawa, Chihiro and Iida, Rei and Fukui, Yamato and Hiraoka, Takehiro and Harada, Miyuki and Wada-Hiraike, Osamu and Osuga, Yutaka and Hirota, Yasushi},
year = {2024},
month = Aug
} Source: NCBI GEO ↗ · License: NCBI GEO policy ↗ · Reprocessed to SpatialData by SpatialData-DB