← All datasets
MALDI mass spectrometry imaging

Human kidney

2022-03-15_20h56m13s

bronze Interactive viewer H&E ✓ Verified publication
Human kidney preview
print(sdata)
SpatialData object
├── Images
│     └── 'optical_image': DataTree[cyx] (3, 9342, 5552), (3, 4671, 2776), (3, 2335, 1388), (3, 1167, 694)
├── Shapes
│     └── 'maldi_spots': GeoDataFrame shape: (20862, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (20862, 109)
with coordinate systems:
    ▸ 'global', with elements:
        optical_image (Images), maldi_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("XfrHJF9ZEJNCeczT0000")
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("XfrHJF9ZEJNCeczT")   # 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 XfrHJF9ZEJNCeczT0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/XfrHJF9ZEJNCeczT

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid XfrHJF9ZEJNCeczT

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
20,862
Tier
bronze
Resolution
5,552 × 9,342 px
mpp
35.000 µm/px
Size
141 MB
Sample ID
2022-03-15_20h56m13s
License
CC BY 4.0
Published
Oct 3, 2024

Cite this dataset

doi.org/10.1681/asn.0000000000000393 ↗
BibTeX
@article{metaspace:2022-03-15_20h56m13s,
  doi = {10.1681/asn.0000000000000393},
  title = {2022-03-15_20h56m13s},
  year = {2024}
}

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