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  thebeat: A Python package for working with rhythms and other temporal sequences

Van der Werff, J., Ravignani, A., & Jadoul, Y. (2024). thebeat: A Python package for working with rhythms and other temporal sequences. Behavior Research Methods. Advance online publication. doi:10.3758/s13428-023-02334-8.

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vanderWerff_Ravignani_Jadoul_2024_thebeat.pdf (Publisher version), 823KB
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vanderWerff_Ravignani_Jadoul_2024_thebeat.pdf
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This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

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 Creators:
Van der Werff, Jelle1, 2, Author           
Ravignani, Andrea1, 2, 3, Author           
Jadoul, Yannick1, 2, Author           
Affiliations:
1Comparative Bioacoustics, MPI for Psycholinguistics, Max Planck Society, ou_3217299              
2Sapienza University of Rome, Rome, Italy, ou_persistent22              
3Aarhus University, Aarhus, Denmark, ou_persistent22              

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 Abstract: thebeat is a Python package for working with temporal sequences and rhythms in the behavioral and cognitive sciences, as well as in bioacoustics. It provides functionality for creating experimental stimuli, and for visualizing and analyzing temporal data. Sequences, sounds, and experimental trials can be generated using single lines of code. thebeat contains functions for calculating common rhythmic measures, such as interval ratios, and for producing plots, such as circular histograms. thebeat saves researchers time when creating experiments, and provides the first steps in collecting widely accepted methods for use in timing research. thebeat is an open-source, on-going, and collaborative project, and can be extended for use in specialized subfields. thebeat integrates easily with the existing Python ecosystem, allowing one to combine our tested code with custom-made scripts. The package was specifically designed to be useful for both skilled and novice programmers. thebeat provides a foundation for working with temporal sequences onto which additional functionality can be built. This combination of specificity and plasticity should facilitate research in multiple research contexts and fields of study.

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Language(s): eng - English
 Dates: 2024-02-02
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: Peer
 Identifiers: DOI: 10.3758/s13428-023-02334-8
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Title: Behavior Research Methods. Advance online publication
Source Genre: Journal
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Publ. Info: Austin, TX : Psychonomic Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: - Identifier: ISSN: 1554-3528
CoNE: https://pure.mpg.de/cone/journals/resource/1554-3528