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  "Title": "Sound Waves Onto Morphometric Data",
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  "Authors@R": "c(\nperson(\"Pedro\", \"Rocha\", email=\"p.rocha1990@gmail.com\", role = c(\"aut\", \"cre\")))",
  "Description": "Implement a promising, and yet little explored protocol\nfor bioacoustical analysis, the eigensound method by MacLeod,\nKrieger and Jones (2013) <doi:10.4404/hystrix-24.1-6299>.\nEigensound is a multidisciplinary method focused on the direct\ncomparison between stereotyped sounds from different species.\n'SoundShape', in turn, provide the tools required for anyone to\ngo from sound waves to Principal Components Analysis, using\ntools extracted from traditional bioacoustics (i.e. 'tuneR' and\n'seewave' packages), geometric morphometrics (i.e. 'geomorph'\npackage) and multivariate analysis (e.g. 'stats' package). For\nmore information, please see Rocha and Romano (2021) and check\n'SoundShape' repository on GitHub for news and updates\n<https://github.com/p-rocha/SoundShape>.",
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  "Date/Publication": "2024-10-02 00:08:09 UTC",
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      "title": "Sound Waves Onto Morphometric Data",
      "topics": [
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        "SoundShape"
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        "Select your acoustic units using Raven Pro Software",
        "Introduction on eigensound analysis",
        "Installation",
        "Citation",
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        "1. Definition of homologous acoustic units",
        "2. Create folder to store acoustic units",
        "3. Select and store acoustic units as separate \".wav\" files",
        "4. Three steps that avoid errors and biased results",
        "4.1 Define dimensions for the sound window",
        "4.2 Alignment of acoustic units at the beginning of a sound window",
        "4.3 Set relative amplitude background",
        "5. Define sampling grid and run eigensound",
        "5.1 Run eigensound function",
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