Nocturnal soundscapes - superseded version

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.

本研究在昆士兰州东南部的12处森林样地开展被动声学监测，覆盖冬季与夏季两个季节，采用搭载全指向性麦克风的BAR-LT型记录仪完成数据采集。记录仪于每个季节连续30天内，每日19:00至次日03:00的夜间时段采集声景数据。从上述录音素材中，每个季节随机抽取210条1分钟音频文件，通过听觉检视与语谱图分析开展人工标注，以识别其中的独特声型（sonotype）。研究人员计算了5项声学指数（ACI、AEI、BI、H及SPL），以量化声景差异。统计分析方法涵盖：用于检验季节差异的曼-惠特尼U检验、斯皮尔曼秩相关分析，以及采用负二项分布的广义线性混合模型（GLMMs），用以评估声学指数与声型丰富度之间的关联。本数据集包含两个文件夹，分别为"summer"与"winter"，每个文件夹内均包含用于声型识别与指数计算的210条1分钟音频文件，同时附带声型计数CSV文件、分析所用的最终数据集，以及运行全部分析流程的R脚本。更多详细信息可参阅随附的README.txt文件。