Data from: Duets convey information about pair and individual identities in a Neotropical bird
收藏Mendeley Data2026-04-18 收录
下载链接:
https://data.mendeley.com/datasets/fpmmftpsy2
下载链接
链接失效反馈官方服务:
资源简介:
Data and R codes for reproducing the statistical analyses from the article:
Diniz P, Silva-Jr EF, Rech GS, Ribeiro PHL, Guaraldo AC, Macedo RH, Amorim PS (2024). Duets convey information about pair and individual identities in a Neotropical bird, Current Zoology, zoae064, https://doi.org/10.1093/cz/zoae064
Data Description:
The dataset includes RDS files (to be loaded in R) and one XLSX file. These contain information on acoustic measurements, specifically spectro-temporal and temporal structure characteristics of different components of rufous hornero (Furnarius rufus) duets: complete duets, overlapping duet sections, duet phrases, overlapping syllable parts, and non-overlapping syllable parts. Detailed information on the recording locations and settings is available in the referenced article.
Data Files:
pair_measures_list.RDS: Contains duet measurements at the pair level, divided into five vectors:
Spectro-temporal measurements of complete duets
Spectro-temporal measurements of overlapping duet sections
Temporal structure measurements of complete duets
Temporal structure measurements of overlapping duet sections
Spectro-temporal measurements of overlapping syllable parts
indiv_measures_list.RDS: Contains duet measurements at the individual level, divided into two vectors:
Temporal structure measurements of duet phrases
Spectro-temporal measurements of non-overlapping syllable parts
results.xlsx: Summarizes the statistical results in the following sheets:
Sheets 1–3: Results of permuted Discriminant Function Analyses (pDFAs)
Sheet 4: Results of Potential for Identity Coding (PIC)
Sheet 5: Results of Permutational Multivariate Analysis of Variance (PERMANOVA)
Sheet 6: Legends explaining the columns and variables in the previous sheets
R Code Description:
The provided R scripts cover the following statistical analyses and figure generation:
Script 1. pDFA, DFA, and PIC for population (site) classification
Script 2. pDFA, DFA, and PIC for pair classification
Script 3. pDFA, DFA, and PIC for sex classification
Script 4. pDFA, DFA, and PIC for individual classification
Script 5. Figure generation for pDFA results (Figure 2)
Script 6. Figure generation for PIC results (Figures 4 and S1)
Script 7. PERMANOVA for pair-level duet traits
Script 8. PERMANOVA for individual-level duet traits
Script 9. PERMANOVA for individual-level duet traits, analyzed within each sex
Script 10. Figure generation for PERMANOVA results (Figure 3)
本数据集用于复现下述论文中的统计分析结果:Diniz P, Silva-Jr EF, Rech GS, Ribeiro PHL, Guaraldo AC, Macedo RH, Amorim PS (2024). 《新热带鸟类的二重鸣唱可传递配对与个体身份信息》,《当代动物学》(Current Zoology),zoae064,https://doi.org/10.1093/cz/zoae064
### 数据集详情
本数据集包含可在R语言环境中加载的RDS文件与1个XLSX文件,其中收录了棕灶鸟(rufous hornero,*Furnarius rufus*)二重鸣唱不同组成部分的声学测量数据,涵盖声谱-时域特征与时域结构特征两类指标,具体包括完整二重鸣唱、重叠鸣唱片段、二重鸣唱乐句、重叠音节片段以及非重叠音节片段。录音的具体地点与录制参数的详细信息可参阅上述参考文献。
### 数据文件列表
1. `pair_measures_list.RDS`:存储配对水平的二重鸣唱测量数据,分为5个向量:
- 完整二重鸣唱的声谱-时域测量数据
- 重叠鸣唱片段的声谱-时域测量数据
- 完整二重鸣唱的时域结构测量数据
- 重叠鸣唱片段的时域结构测量数据
- 重叠音节片段的声谱-时域测量数据
2. `indiv_measures_list.RDS`:存储个体水平的二重鸣唱测量数据,分为2个向量:
- 二重鸣唱乐句的时域结构测量数据
- 非重叠音节片段的声谱-时域测量数据
3. `results.xlsx`:汇总了本次研究的统计分析结果,包含以下6个工作表:
- 工作表1至3:置换判别函数分析(permuted Discriminant Function Analyses,pDFA)结果
- 工作表4:个体身份编码潜力(Potential for Identity Coding,PIC)结果
- 工作表5:置换多元方差分析(Permutational Multivariate Analysis of Variance,PERMANOVA)结果
- 工作表6:前述各工作表中列与变量的说明图例
### R脚本功能说明
本数据集配套的R脚本涵盖全部统计分析与图表生成流程,具体如下:
1. 脚本1:用于种群(采样位点)分类的置换判别函数分析(pDFA)、判别函数分析(DFA)与个体身份编码潜力(PIC)计算
2. 脚本2:用于配对分类的置换判别函数分析(pDFA)、判别函数分析(DFA)与个体身份编码潜力(PIC)计算
3. 脚本3:用于性别分类的置换判别函数分析(pDFA)、判别函数分析(DFA)与个体身份编码潜力(PIC)计算
4. 脚本4:用于个体分类的置换判别函数分析(pDFA)、判别函数分析(DFA)与个体身份编码潜力(PIC)计算
5. 脚本5:生成置换判别函数分析结果的可视化图表(对应论文图2)
6. 脚本6:生成个体身份编码潜力结果的可视化图表(对应论文图4与补充图S1)
7. 脚本7:针对配对水平二重鸣唱性状的置换多元方差分析(PERMANOVA)
8. 脚本8:针对个体水平二重鸣唱性状的置换多元方差分析(PERMANOVA)
9. 脚本9:针对不同性别组内个体水平二重鸣唱性状的置换多元方差分析(PERMANOVA)
10. 脚本10:生成置换多元方差分析结果的可视化图表(对应论文图3)
创建时间:
2024-10-29



