← All datasets
MALDI mass spectrometry imaging

Mouse unknown

2025-08-14_09h13m48s

bronze Interactive viewer H&E ✓ Verified publication
Mouse unknown preview
print(sdata)
SpatialData object
├── Images
│     └── 'optical_image': DataTree[cyx] (3, 7414, 7400), (3, 3707, 3700), (3, 1853, 1850), (3, 926, 925)
├── Shapes
│     └── 'maldi_spots': GeoDataFrame shape: (30000, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (30000, 551)
with coordinate systems:
    ▸ 'global', with elements:
        optical_image (Images), maldi_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("7wD0ZM1pMpCqk38L0000")
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("7wD0ZM1pMpCqk38L")   # 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 7wD0ZM1pMpCqk38L0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/7wD0ZM1pMpCqk38L

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid 7wD0ZM1pMpCqk38L

License: CC BY 4.0

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

Metadata

Technology
MALDI mass spectrometry imaging
Organism
mouse
Tissue
unknown
Modality
Metabolomics
Observations
30,000
Tier
bronze
Resolution
7,400 × 7,414 px
mpp
10.000 µm/px
Size
97.3 MB
Sample ID
2025-08-14_09h13m48s
License
CC BY 4.0
Published
Aug 6, 2026

Cite this dataset

doi.org/10.1002/advs.202523198 ↗
BibTeX
@article{metaspace:2025-08-14_09h13m48s,
  doi = {10.1002/advs.202523198},
  title = {2025-08-14_09h13m48s},
  year = {2026}
}

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