Nocturnal soundscapes - superseded version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.

被动声学监测在昆士兰州东南部的12个森林站点开展，覆盖冬季与夏季两个季节，使用配备全向麦克风的BAR-LT记录仪。记录仪在每个季节连续30天记录夜间声景，时间为晚上7点至凌晨3点。从这些录音中，每个季节随机选取210个时长1分钟的音频文件，通过听觉检查和频谱图分析进行人工分析，以识别不同的声型。计算了5个声学指数（ACI、AEI、BI、H和SPL）来量化声景变化。统计分析包括用于季节差异的Mann–Whitney U检验、Spearman等级相关，以及采用负二项分布的广义线性混合模型（GLMM），以评估声学指数与声型丰富度之间的关系。该数据集包含两个文件夹（“summer”和“winter”），每个文件夹均包含用于声型识别和指数计算的210个1分钟文件，以及声型计数的CSV文件、分析中使用的最终数据集和运行所有分析的R脚本。更多细节见随附的README.txt文件。