Organization
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Scientific Domain
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Year Published
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Data Type
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Associated Tasks
Size
{{item[0].foundry.n_items}} items
DOI: {{item[0].doi}}
Source Name: {{item[0].source_name}}
pip install foundry-ml
# Make sure you've imported and instantiated Foundry
from foundry import Foundry
f = Foundry()
# Load the data here!
f.load('{{item[0].doi}}', globus=False)
res = f.load_data()
You can load this dataset with 2 lines of code if you already have Foundry set up. If you need to set up Foundry, check out our example notebooks and documentation for how to get started.
{{item[0].org[0]}}
{{item[0].year}}
{{item[0].contact}}
DOI: {{item[0].doi}}
Source Name: {{item[0].source_name}}
{{item[0].description}}
Material: {{item[0].material}}
Files
{{file.filename}} ({{file.data_type}})
See Dataset