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中国43种蛙类鸣声特征数据集
引用本文:邓可,汪小萍,朱弼成,赵龙辉,杨悦,蔡炎林,孙晓倩,王同亮,崔建国.中国43种蛙类鸣声特征数据集[J].生物多样性,2023,31(1):22344-182.
作者姓名:邓可  汪小萍  朱弼成  赵龙辉  杨悦  蔡炎林  孙晓倩  王同亮  崔建国
作者单位:1.中国科学院成都生物研究所, 成都 610041
2.中国科学院大学, 北京 100049
3.海南师范大学生命科学学院, 海口 571158
基金项目:两栖爬行动物行为学四川省青年科技创新研究团队(2022JDTD0026);热带岛屿生态学教育部重点实验室开放课题(HNSF-OP-202002)
摘    要:无尾两栖动物的鸣声通常具有物种特异性,了解其鸣声特征信息,是利用生物声学进行物种多样性调查及物种监测的前提。本文汇总、整理了2012–2020年间利用高保真录音设备在野外记录的43种(隶属于7科26属)无尾两栖动物的鸣声数据,以及相应的鸣声采集信息。对音频文件进行降噪处理后,提供了由61个鸣声的波形图及语图组成的鸣声特征数据集。本数据集展示了鸣声的多种时域和频域信息,如单音节或多音节、音节数、音节时长、音节间隔、鸣声时长、主频、基频、谐波等,为我国无尾两栖类的声学研究、物种多样性调查及鸣声监测提供了数据支持。

关 键 词:  蟾蜍  时域特征  频域特征  波形图  语图
收稿时间:2022-06-21

A dataset on the call characteristics of 43 anuran species in China
Ke Deng,Xiaoping Wang,Bicheng Zhu Longhui Zhao,Yue Yang,Yanlin Cai,Xiaoqian Sun,Tongliang Wang,Jianguo Cui.A dataset on the call characteristics of 43 anuran species in China[J].Biodiversity Science,2023,31(1):22344-182.
Authors:Ke Deng  Xiaoping Wang  Bicheng Zhu Longhui Zhao  Yue Yang  Yanlin Cai  Xiaoqian Sun  Tongliang Wang  Jianguo Cui
Affiliation:1. Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041
2. University of Chinese Academy of Sciences, Beijing 100049
3. College of Life Sciences, Hainan Normal University, Haikou 571158
Abstract:Calls of anuran species (frogs and toads) are generally species-specific. This means that bioacoustics can be used to investigate species diversity and monitor species, but only if the call characteristics are known. In this study, we summarize the call data and sample information of 43 anuran species (from 26 genera in 7 families) recorded in the field with high-fidelity recorders from 2012 to 2020. In addition, we provide a call characteristic dataset with oscillograms and spectrograms of 61 calls (after noise reduction processing). The dataset contains temporal and spectral characteristics of the calls, such as the note number, note duration, inter-note interval, call duration, dominant frequency, fundamental frequency, harmonics, and whether they are monosyllabic or multisyllabic. This dataset is essential for using acoustic techniques to survey species diversity and monitor anuran species in China using their calls.
Keywords:frog  toad  temporal characteristic  spectral characteristic  oscillogram  spectrogram  
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