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DataWolf Workflow System

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 23 Nov 2021Publisher:Zenodo
Authors: Rob Kooper; Chris Navarro; Luigi Marini; Jong Lee; Kenton McHenry; Liana Diesendruck; Yan Zhao;
Code repository: https://github.com/ncsa/datawolf/tree/v4.4.0

doi: 10.5281/zenodo.5719755 , 10.5281/zenodo.14018409 , 10.5281/zenodo.16377684 , 10.5281/zenodo.2635502 , 10.5281/zenodo.7402032 , 10.5281/zenodo.17941052 , 10.5281/zenodo.7651384

DataWolf Workflow System

Abstract

Data Wolf simplifies the integration of data and modeling tools to support research and enable cross disciplinary integration to produce targeted outputs that address particular engineering and educational needs.

This research has been partially funded by grants including, but not limited to: NSF #1261582 - BrownDog, KISTI supercomputing, NREC CoverCrop.

Related Organizations
Keywords

workflow, datawolf, cyberinfrastructure, java, open-science

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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