← All datasets
MALDI mass spectrometry imaging

Branchipolynoe seepensis multicellular organism

2020-05-11_18h51m46s

bronze Interactive viewer H&E No linked publication
MALDI mass spectrometry imaging
print(sdata)
SpatialData object
├── Images
│     └── 'optical_image': DataTree[cyx] (3, 3348, 7530), (3, 1674, 3765), (3, 837, 1882), (3, 418, 941)
├── Shapes
│     └── 'maldi_spots': GeoDataFrame shape: (224740, 2) (2D shapes)
└── Tables
      └── 'table': AnnData (224740, 43)
with coordinate systems:
    ▸ 'global', with elements:
        optical_image (Images), maldi_spots (Shapes)
Python · sddb client
from sddb import Catalog

ds = Catalog().dataset("rf0hefiTAqO9iVML0000")
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("rf0hefiTAqO9iVML")   # 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 rf0hefiTAqO9iVML0000 --dest data/

# or lamin: cache the dataset and print its local path
lamin load https://lamin.ai/scverse/spatialdata-db/artifact/rf0hefiTAqO9iVML

# or connect once, then load by uid
lamin connect scverse/spatialdata-db
lamin load artifact --uid rf0hefiTAqO9iVML

License: CC BY 4.0

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

Metadata

Technology
MALDI mass spectrometry imaging
Organism
branchipolynoe seepensis
Tissue
multicellular organism
Modality
Metabolomics
Observations (pixels)
224,740
Tier
bronze
Resolution
7,530 × 3,348 px
mpp
25.000 µm/px
Size
60.5 MB
Sample ID
2020-05-11_18h51m46s
License
CC BY 4.0
Published
May 11, 2020

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