← All datasets
MALDI mass spectrometry imaging

Human kidney

2022-01-17_23h48m59s

bronze Interactive viewer H&E No linked publication
Human kidney preview
print(sdata)
SpatialData object
├── Images
│     └── 'optical_image': DataTree[cyx] (3, 6502, 5580), (3, 3251, 2790), (3, 1625, 1395), (3, 812, 697)
├── Shapes
│     └── 'maldi_spots': GeoDataFrame shape: (7980, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (7980, 104)
with coordinate systems:
    ▸ 'global', with elements:
        optical_image (Images), maldi_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("3DjmknbHiESuQStC0000")
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("3DjmknbHiESuQStC")   # 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 3DjmknbHiESuQStC0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/3DjmknbHiESuQStC

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 3DjmknbHiESuQStC

License: CC BY 4.0

View on Lamin ↗ Open in Vitessce ↗ Flag a data issue

Metadata

Technology
MALDI mass spectrometry imaging
Organism
human
Tissue
kidney
Modality
Metabolomics
Observations
7,980
Tier
bronze
Magnification
20x
Resolution
5,580 × 6,502 px
mpp
35.000 µm/px
Size
103 MB
Sample ID
2022-01-17_23h48m59s
License
CC BY 4.0
Published
Jan 17, 2022

Cite this dataset

No linked publication found — please cite the data source: metaspace2020.org ↗.

Source: metaspace2020.org ↗ · License: CC BY 4.0 ↗ · Reprocessed to SpatialData by SpatialData-DB