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Mouse brain

GSM5026149

bronze Interactive viewer H&E Provisional
Mouse brain preview
print(sdata)
SpatialData object
├── Images
│     ├── 'GSM5026149_S6_hires_image': DataArray[cyx] (3, 2000, 1865)
│     └── 'GSM5026149_S6_lowres_image': DataArray[cyx] (3, 600, 560)
├── Shapes
│     └── 'GSM5026149_S6': GeoDataFrame shape: (2730, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (2730, 32285)
with coordinate systems:
    ▸ 'GSM5026149_S6', with elements:
        GSM5026149_S6_hires_image (Images), GSM5026149_S6_lowres_image (Images), GSM5026149_S6 (Shapes)
    ▸ 'GSM5026149_S6_downscaled_hires', with elements:
        GSM5026149_S6_hires_image (Images), GSM5026149_S6 (Shapes)
    ▸ 'GSM5026149_S6_downscaled_lowres', with elements:
        GSM5026149_S6_lowres_image (Images), GSM5026149_S6 (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("eqehqGf3jyuJGf0B0000")
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("eqehqGf3jyuJGf0B")   # 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 eqehqGf3jyuJGf0B0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/eqehqGf3jyuJGf0B

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid eqehqGf3jyuJGf0B

License: NCBI GEO policy

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Metadata

Technology
Visium
Organism
mouse
Tissue
brain
Modality
RNA
Observations (spots)
2,730
Tier
bronze
Chemistry
Visium v1
Magnification
other
Resolution
1,865 × 2,000 px
mpp
3.530 µm/px
Size
60.9 MB
Sample ID
GSM5026149
License
NCBI GEO policy
Published
Jun 3, 2021

Cite this dataset

doi.org/10.1038/s41593-021-00905-6 ↗
BibTeX
@article{Hasel_2021,
  title = {Neuroinflammatory astrocyte subtypes in the mouse brain},
  volume = {24},
  ISSN = {1546-1726},
  url = {http://dx.doi.org/10.1038/s41593-021-00905-6},
  DOI = {10.1038/s41593-021-00905-6},
  number = {10},
  journal = {Nature Neuroscience},
  publisher = {Springer Science and Business Media LLC},
  author = {Hasel, Philip and Rose, Indigo V. L. and Sadick, Jessica S. and Kim, Rachel D. and Liddelow, Shane A.},
  year = {2021},
  month = Aug,
  pages = {1475–1487}
}

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