DOI: 10.5061/dryad.1vhhmgqtq
title: A framework for the quantification of soundscape diversity using Hill numbers

description: This is the data underlying the case study and supplementary material
 described in Luypaert et al. (2021): A framework for the
 quantification of soundscape diversity using Hill numbers. 
description: Acoustic data were
 collected at the Balbina Hydroelectric Reservoir (BHR) in Brazilian
 Amazonia. Surveys were conducted between July and December 2015, sampling
 151 plots on 74 islands and 4 continuous forest sites on the mainland
 along a known gradient in taxonomic species richness. At each plot, an
 acoustic recorder was deployed at 1.5 m height and set to record the
 soundscape for 1-min every 5-min for 5-9 consecutive days at a sampling
 rate of 44.1 kHz using the ARBIMON Touch application. From these plots, a
 subset of sites was taken for which previously published data on taxonomic
 richness of sound-producing species was available. Moreover, several plots
 were omitted due to insufficient recording quality, persistent noise or
 positioning in riparian habitat. Ultimately, 65 plots located on 31
 islands and three continuous forest sites were retained. If multiple plots
 were present on the same island/forest site, data was averaged across
 plots, resulting in a final sample size of 35 sites (32 islands and 3
 continuous forest sites). For more detailed information on data
 collection, see Bueno et al. (2020): Sampling design may obscure
 species-area relationships in landscape-scale field studies
description: <strong>What data can be found on
 this repository?</strong> 
 The raw sound files for all 151 plots collected at the Balbina
 Hydroelectric Reservoir in Brazilian Amazonia. See <em>"Bueno
 et al. (2020): Sampling design may obscure species-area relationships in
 landscape-scale field studies"</em> for a detailed description
 of the data collection protocol. <br><br> 
 The processed spectral CVR-index calculated using the QUT
 AnalysisPrograms.exe software. <br><br> 
 The RMarkdown files for the case study presented in the main
 manuscript<br><br> The RMarkdown files
 for the additional analyses presented in the supplementary
 materials<br><br> The full
 '.RData' file associated with each '.Rmd'
 file <strong>Calculating
 the spectral CVR-index values
 yourself</strong> The spectral index
 CVR-files were calculated using the AnalysisPrograms.exe software of the
 QUT Ecoacoustics group in Brisbane, Australia (https://ap.qut.ecoacoustics.info/tutorials/01-usingap/practical?tabs=windows), and can be downloaded from this repository. The functions used in the analysis of this manuscript are currently under development and will be published as the '<em>soundscapeR</em>' R-package. For the moment, the most recent version of the functions can be found on the repository of this manuscript on GitHub (https://github.com/ThomasLuypaert/SoundHill).  If you wish to calculate the spectral CVR-index values yourself, follow these steps: Download the QUT AnalysisPrograms.exe software from here () Load the '<em>soundscapeR'</em> functions from GitHub (https://github.com/ThomasLuypaert/SoundHill/blob/main/soundscapeR_functions.R). Note that you might need to install some of the packages on which these functions depend.  Open up the 'Case_study.Rmd file. In section 2.1, you can find the code to calculate the indices (commented out). Activate the code by selecting it and hitting CTRL-C. Fill out the required paths (location of sound files on your device, and location of the AnalysisPrograms.exe software on your device). Run the code. Be mindful that this will take a while.