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ZENODO
Software . 2024
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: ZENODO
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ZENODO
Software . 2024
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: ZENODO
ZENODO
Software . 2024
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: Datacite
ZENODO
Software . 2024
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: Datacite
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physiopy/peakdet: A python toolbox for reproducible physiological data analysis

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 15 Jul 2024Publisher:Zenodo
Authors: Elizabeth DuPre; Ross Markello; Stefano Moia;

doi: 10.5281/zenodo.12759256 , 10.5281/zenodo.12745987

physiopy/peakdet: A python toolbox for reproducible physiological data analysis

Abstract

:tada: This release contains work from a new contributor! :tada: Thank you, Rachael Stickland (@RayStick), for all your work! 🚀 Enhancement feat: Development release fix (@smoia) feat: Update workflows and setup (@smoia) 🐛 Bug Fix Add .pre-commit-config.yaml #67 (@maestroque @pre-commit-ci[bot]) 📝 Documentation bring branch up to date with master #69 (@maestroque @pre-commit-ci[bot] @smoia @RayStick) ⚠️ Tests Integrate Loguru #62 (@maestroque) 🏠 Internal Update setup and runners #72 (@smoia) [pre-commit.ci] pre-commit autoupdate #71 (@pre-commit-ci[bot]) Add Continuous Deployment tools (auto, packaging workflows, zenodo) #41 (@smoia) [pre-commit.ci] pre-commit autoupdate #70 (@pre-commit-ci[bot]) Add auto-author and auto-label to github workflow #65 (@RayStick) Authors: 4 @pre-commit-ci[bot] George Kikas (@maestroque) Rachael Stickland (@RayStick) Stefano Moia (@smoia)

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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!
0
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