Description
Passive acoustic monitoring was conducted at twelve forest sites in southeast Queensland across two seasons (winter and summer) using BAR-LT recorders with omnidirectional microphones. Recorders captured nightly soundscapes over 30 consecutive days per season, from 7:00 PM to 3:00 AM. From these recordings, 210 one-minute audio files per season were randomly selected and manually analysed to identify distinct sonotypes through auditory inspection and spectrogram analysis. Five acoustic indices (ACI, AEI, BI, H, and SPL) were calculated to quantify soundscape variation. Statistical analyses included Mann–Whitney U tests for seasonal differences, Spearman’s rank correlations, and GLMMs with a negative binomial distribution to assess relationships between acoustic indices and sonotype richness. This dataset includes two folders, “summer” and “winter,” each containing the 210 one-minute files used for sonotype identification and index calculation, along with a CSV file of sonotype counts, the final dataset used in the analysis, and the R script used to run all analyses. Further details are provided in the accompanying README.txt file.
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Publication Details
DOI
Publisher
The University of Queensland
Subfield
Experimental and Cognitive Psychology
Field
Psychology
Domain
Social Sciences
Confidence Score
44%
Source
Scholar Data Model