Data for "<b>Vocal convergence during formation of cooperative relationships in vampire bats" </b>

If you are interested in analysing these data, please contact Gerald Carter, socialbat.org, [e-mail] are measures of contact calls from 94 individually isolated common vampire bats "acoustic data/ds_completespecan_2023-10-02.RDS" is 27 acoustic measures from the R package warblr"acoustic data/ds_fundfreq_summary_2023-11-06.RDS" is other acoustic measures of fundamental frequencyTo record contact calls with high signal-to-noise ratios, we isolated an individual bat inside a plastic storage bin (about 75 to 200 liters in volume) lined with acoustic foam and/or soft fabric to dampen echoes. To keep the bat within 10 to 30 cm of the microphone, we placed it inside a small soft-mesh butterfly cage or a tube of plastic mesh. Calls were recorded with an Avisoft CM16 ultrasound condenser microphone (frequency range 10-200kHz, Avisoft Bioacoustics, Berlin, Germany). Sound was digitized with 16-bit resolution at sampling rates ranging between 250-500 kHz through an Avisoft UltraSoundGate (one-channel or four-channel) to a laptop running the program Avisoft Recorder. To remove any effects of digitization rate on subsequent call measures, recordings digitized at a rate above 250 kHz were downsampled to 250 kHz using the seewave R package. We identified start and end times of individual calls with a custom R script that uses both amplitude and spectral density to segment audio recordings into calls. The script excludes calls which exceed the maximum amplitude of the microphone. This automated method was tested and validated with 1535 manually labeled recordings containing ~7000 call selections. Using these start and end times, we then measured 35 features of each call. We used the R package warbleR to measure 27 spectral and temporal parameters and the R package soundgen to estimate 8 additional measurements from the fundamental: maximum slope, minimum slope, and absolute minimum slope; the number of positive slopes and of negative slopes; the number of turns; the mean slope; and the number of segments. All scripts were run using the Ohio Supercomputer.

若您有意对本数据集开展分析研究，请联系Gerald Carter，邮箱地址为[e-mail]，相关平台为socialbat.org。
本数据集包含94只单独隔离的普通吸血蝙蝠的接触叫声测量数据。其中，文件`acoustic data/ds_completespecan_2023-10-02.RDS`包含从R包warblr中提取的27项声学测量指标；文件`acoustic data/ds_fundfreq_summary_2023-11-06.RDS`则包含基频相关的其他声学测量指标。

为获取高信噪比的接触叫声录音，我们将单只吸血蝙蝠隔离于体积约75至200升的塑料收纳箱内，箱内壁贴有吸声泡沫和/或软质织物以抑制回声。为将蝙蝠保持在麦克风10至30厘米的范围内，我们将其置于小型软质网纱蝴蝶笼或塑料网筒中。本研究采用Avisoft CM16超声电容式麦克风（频率响应范围10-200kHz，Avisoft Bioacoustics，德国柏林）录制叫声。通过Avisoft UltraSoundGate设备（单通道或四通道），以16位采样精度、250-500kHz的采样率将声音数字化，并存储至运行Avisoft Recorder软件的笔记本电脑中。

为消除采样率对后续叫声测量的影响，我们使用R包seewave将采样率高于250kHz的录音重采样至250kHz。我们通过自定义R脚本识别单段叫声的起止时刻，该脚本结合振幅与频谱密度特征将音频片段分割为独立叫声，同时自动剔除超出麦克风最大振幅阈值的叫声。本自动化方法已通过包含约7000个叫声标注片段的1535条人工标注录音进行测试与验证。

基于上述起止时刻，我们为每段叫声提取了35项特征：使用R包warbleR测量27项频谱与时域参数，同时使用R包soundgen从基频中估算额外8项指标，包括最大斜率、最小斜率、绝对最小斜率、正向斜率数量、负向斜率数量、拐点数量、平均斜率以及片段数量。所有脚本均在俄亥俄超级计算机（Ohio Supercomputer）上运行。

搜集汇总

背景与挑战

背景概述

该数据集聚焦于吸血蝙蝠在形成合作关系过程中的声音趋同现象，包含94只单独隔离蝙蝠的接触呼叫声学测量数据，涉及35个特征如频谱和基本频率参数。数据以RDS格式提供，适用于动物行为和社会关系研究，支持CC BY 4.0开放许可。