Nonlinear vocal phenomena in African penguin begging calls: occurrence, significance, and potential applications

This repository hosts the dataset used in the analysis conducted for the article titled "Nonlinear vocal phenomena in African penguin begging calls: occurrence, significance, and potential applications" including all the necessary files to replicate the analysis and findings presented in the study.

 

Files information

• Dataset_full_model.csv = model 1
  The variable inside are:
  file_ name= name of the file 
  seq= sequences' Identity
  id = chicks' identity
  status = healthy or sick
  age = chicks age in day
  nlp= presence/absence
  
  
• Dataset_control_model.csv = model 2
  file_ name= name of the file 
  seq= sequences' Identity
  id = chicks' identity
  status = healthy or sick
  age = chicks age in day
  nlp= nlp presence/absence
  
  
• Dataset_reduced_NLP_category.csv = model 3, model 4, model 5
  file_ name= name of the file 
  seq= sequences' Identity
  id = chicks' identity
  status = healthy or sick
  age = chicks age in day
  nlp_ch=nlp chaos presence/absence
  nlp_sb=nlp sidebands presence/absence
  multi = presence of subharmonics, frequency jump or both
  
  
• Dataset_reduced_NLP_duration.csv = model 6
  file_ name= name of the file 
  seq= sequences' Identity
  id = chicks' identity
  status = healthy or sick
  age = chicks age in day
  freq= duration of the NLP normalised on the call duration