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noisepy/NoisePy: v0.9.85

Authors: carlosgjs; chengxinjiang; Marine Denolle; Yiyu Ni; IshikaKhandelwal; Kuan-Fu Feng; nrich20; +9 Authors

noisepy/NoisePy: v0.9.85

Abstract

What's Changed Fix: incorrect plotting function behaviors in plotting_modules.py by @YantaoLuo in https://github.com/noisepy/NoisePy/pull/279 chore: Precommit check for notebook outputs by @carlosgjs in https://github.com/noisepy/NoisePy/pull/285 Refactorize AWS tutorials by @niyiyu in https://github.com/noisepy/NoisePy/pull/287 Re-organization of tutorials by @mdenolle in https://github.com/noisepy/NoisePy/pull/284 Adding scripts for using the NCEDC data stored on s3 by @kuanfufeng in https://github.com/noisepy/NoisePy/pull/283 update contrib by @mdenolle in https://github.com/noisepy/NoisePy/pull/290 Marine modifying the tutorials by @mdenolle in https://github.com/noisepy/NoisePy/pull/281 Resolving channel filter redundancy by @niyiyu in https://github.com/noisepy/NoisePy/pull/291 chore: update PyPi publishing to use trusted publisher by @niyiyu in https://github.com/noisepy/NoisePy/pull/296 chore: moving unused functions to improve code coverage by @niyiyu in https://github.com/noisepy/NoisePy/pull/298 feat: add https filesystem and support load yml from url by @niyiyu in https://github.com/noisepy/NoisePy/pull/300 Re-organize code for monitoring by @kuanfufeng in https://github.com/noisepy/NoisePy/pull/299 chore: add monitoring unit tests by @niyiyu in https://github.com/noisepy/NoisePy/pull/302 Added a dependency on the new noisepy-seis-io and fixed the import statements by @IshikaKhandelwal in https://github.com/noisepy/NoisePy/pull/289 New Contributors @YantaoLuo made their first contribution in https://github.com/noisepy/NoisePy/pull/279 Full Changelog: https://github.com/noisepy/NoisePy/compare/0.9.84...v0.9.85

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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.
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