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  • Globus Publish (https://github.com/globus/globus-publish-dspace)
  • yt Hub
  • Resolution Service
    • Given DOI → get URL to data, get loction, get machine, get local path on machine
    • Given notebook, location, path → run notebook on data at resource
    • Allows independence from repo technologies
    • Allow repos to provide location information as metatdata, if not available attempt to resolve (e.g. from URL, index)
    • Repos that don't have local computation options would need to move data
    • Only requirement from repos is that data can be accessed via a URL
    • Identify at least one notebook for demonstration
    • Build as service with python library interface that can be shown in Jupyter
    • Create an alternative bookmarklet client that can be shown on any of repo
      • click on link get list of resources to run a selected notebook on
    • Discussed as a need within TERRA effort

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3. Dark Sky Simulation
Authors: Michael Warren, Alexandar Friedland, Daniel Holz, Samuel Skillman, Paul Sutter, Matthew Turk (mjturk@illinois.edu), Risa Wechsler
Paper URL: https://zenodo.org/record/10777#.V_VvKtwcK1M, https://arxiv.org/abs/1407.2600
Paper DOI: http://dx.doi.org/10.5281/zenodo.10777
Data URL:

Data DOI: ??
Size: 31 TB
Code & Tools: https://bitbucket.org/darkskysims/darksky_tour/

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