Published May 6, 2024
| Version v2
Dataset
Restricted
Nonlinear vocal phenomena in the begging calls of the African penguin
Authors/Creators
- 1. Department of Life Sciences and Systems Biology, University of Turin, Turin, Italy
- 2. Southern African Foundation for the Conservation of Coastal Birds (SANCCOB), Cape Town, South Africa
- 3. Department of Biodiversity & Conservation Biology, University of the Western Cape, Bellville, Cape Town, South Africa
- 4. Stazione Zoologica Anton Dohrn, Naples, Italy
Description
This repository hosts the dataset used in the analysis conducted for the article titled "Nonlinear Vocal Phenomena in the Begging Calls of the African Penguin," 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