Recognisability and Liking of Complex Rhythms: Balance, evenness, and entropy in rhythm perception and æsthetic evaluation dataset
  • Description

    Exploring the influence of balance, evenness, entropy (mathematical characterizations of rhythms) on their perceptual and aesthetic qualities. Participants rated their liking and were tested for their recognition of a variety of complex rhythms with differing levels of balance, evenness and IOI entropy.


    • Data publication title Recognisability and Liking of Complex Rhythms: Balance, evenness, and entropy in rhythm perception and æsthetic evaluation dataset
    • Description

      Exploring the influence of balance, evenness, entropy (mathematical characterizations of rhythms) on their perceptual and aesthetic qualities. Participants rated their liking and were tested for their recognition of a variety of complex rhythms with differing levels of balance, evenness and IOI entropy.


    • Data type dataset
    • Keywords
      • rhythms
      • liking
      • recognition
      • balance
      • evenness
      • entropy
      • The MARCS Institute
    • Funding source
      • Australian Research Council
    • Grant number(s)
      • - DE170100353
    • FoR codes
      • 520401 - Cognition
      • 520406 - Sensory processes, perception and performance
      • 360301 - Music cognition
      SEO codes
      • 280121 - Expanding knowledge in psychology
      • 280122 - Expanding knowledge in creative arts and writing studies
      Temporal (time) coverage
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    • End date
    • Time period
       
      Spatial (location,mapping) coverage
    • Locations
      Data Locations

      Type Location Notes
      URL https://osf.io/stnyg/ Open access
      The Data Manager is: Andrew Milne
      Access conditions Open
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      The data will be licensed under
    • Other license
    • Statement of rights in data Copyright Western Sydney University
      Citation Milne, Andrew (2017): Balance, evenness, and entropy in rhythm perception and æsthetic evaluation dataset. Western Sydney University. https://doi.org/10.17605/OSF.IO/STNYG