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Software . 2020
Data sources: Datacite
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Software . 2020
Data sources: ZENODO
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SuperDARN/pydarn: pyDARN v1.1.0 Release

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 10 Aug 2020Publisher:Zenodo
Authors: SuperDARN Data Analysis Working Group; Schmidt, M.T.; Billett, D.D.; Bland, E.C.; Burrell, A.G.; Detwiller, M.H.; Herlingshaw, K.; +9 Authors
Code repository: https://github.com/SuperDARN/pydarn/tree/v1.1

doi: 10.5281/zenodo.3978643

SuperDARN/pydarn: pyDARN v1.1.0 Release

Abstract

pyDARN release v1.1 includes the following features: pyDARN will be removing the IO package in the next release. Please use pyDARNio Deprecation warnings for IO reading of pyDARN Borealis v 5.0 file reading Bugfix in RAWACF field checking Bugfix in grabbing the most recent hardware files Added JME and DCN to the hardware list Plotting ACFs updated logging in pyDARN

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selected citations
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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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