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uvcdat: UV-CDAT 2.6

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 30 Jun 2016Publisher:Zenodo
Authors: Charles Doutriaux; Thomas Maxwell; Aashish Chaudhary; Sam Fries; Paul J. Durack; Sankhesh Jhaveri; David Lonie; +23 Authors
Code repository: https://github.com/UV-CDAT/uvcdat/tree/uvcdat-2.6

doi: 10.5281/zenodo.56759 , 10.5281/zenodo.56760

uvcdat: UV-CDAT 2.6

Abstract

The UV-CDAT team is pleased to announce the release of UV-CDAT version 2.6. DOI Change log is here Many thanks to users, testers, and developers for helping UV-CDAT to reach this milestone. This is a bug fix release, we have fixed several major and minor bugs in version 2.6 and therefore we strongly recommend users upgrade their UV-CDAT installation. From this release on UV-CDAT is distributed via conda conda install -c uvcdat uvcdat or conda create -n uvcdat-2.6 -c uvcdat uvcdat We also alert users to an Askbot website to help the UV-CDAT user community. This supports version 2.2 onward. See: http://uvcdat.askbot.com

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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).
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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.
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