Cristian Pérez-Granados
WABAD: A World Annotated Bird Acoustic Dataset for Passive Acoustic Monitoring
Pérez-Granados, Cristian; Etxebarría, Jon Morant; Darras, Kevin Félix Arno; Gómez, Oscar Humberto Marín; Mendoza, Irene; Mohedano-Muñoz, Miguel Ángel; Santamaría, Eduardo; Bastianelli, Giulia; Márquez-Rodríguez, Alba; Budka, Michał; Bota, Gerard; Rubio, José M. de la Peña; Morena, Eladio L. García de la; Santa-Cruz:, Manu; Nava, Pablo de la; Fernández-Tizón, Mario; Sánchez-Mateos, Hugo; Barrero, Adrián; Traba, Juan; Osiejuk, Tomasz S.; Hart, Patrick J.; Navine, A.; Muñoz, Andrés Felipe Montoya; de Araujo, Carlos Barros; Rosa, Gabriel Lima Medina; Torres, Ingrid Maria Denóbile; Catalano, Ana Luiza Camargo; Simões, Cássio Rachid Meireles de Almeida; Llusia, Diego; M. B., Morales Manuel; Acebes, Pablo; Medina, Juan Antonio; Brown, Nicholas; Astaras, Christos; Karmiris, Ilias; Navarrete, Elizabeth; Cauchoix, Maxime; Barbaro, Luc; Funosas, David; Arend, Dominik; Müller, Sandra; González-García, Fernando; González-Romero, Alberto; Mammides, Christos; Pontikis, Michaelangelo; Jacuzzi, Giordan...
Authors
Jon Morant Etxebarría
Kevin Félix Arno Darras
Oscar Humberto Marín Gómez
Irene Mendoza
Miguel Ángel Mohedano-Muñoz
Eduardo Santamaría
Giulia Bastianelli
Alba Márquez-Rodríguez
Michał Budka
Gerard Bota
José M. de la Peña Rubio
Eladio L. García de la Morena
Manu Santa-Cruz:
Pablo de la Nava
Mario Fernández-Tizón
Hugo Sánchez-Mateos
Adrián Barrero
Juan Traba
Tomasz S. Osiejuk
Patrick J. Hart
A. Navine
Andrés Felipe Montoya Muñoz
Carlos Barros de Araujo
Gabriel Lima Medina Rosa
Ingrid Maria Denóbile Torres
Ana Luiza Camargo Catalano
Cássio Rachid Meireles de Almeida Simões
Diego Llusia
Morales Manuel M. B.
Pablo Acebes
Juan Antonio Medina
Nicholas Brown
Christos Astaras
Ilias Karmiris
Elizabeth Navarrete
Maxime Cauchoix
Luc Barbaro
David Funosas
Dominik Arend
Sandra Müller
Fernando González-García
Alberto González-Romero
Christos Mammides
Michaelangelo Pontikis
Giordano Jacuzzi
Julian D. Olden
Sara P. Bombaci
Gabriel Marcacci
Alain Jacot
Juan Pablo Zurano
Elena Gangenova
Diego Varela
Facundo Di Sallo
Gustavo A. Zurita
Andrey Atemasov
Junior A. Tremblay
Vincent Lamarre
Anja Hutschenreiter
Alan Monroy-Ojeda
Mauricio Díaz-Vallejo
Sergio Chaparro-Herrera
Prof Robert Briers R.Briers@napier.ac.uk
Professor
Renata S. Sousa-Lima
Thiago Pinheiro
Wigna Carla da Silva
Alice Calvente
Anamaria Dal Molin
Alexandre Antonelli
Svetlana Gogoleva
Igor Palko
Hiếu Vũ Trọng
Marina Henriques Lage Duarte
Natália dos Santos Falcão Saturnino
Samuel Rodrigues Silva
Ana Rainho
Paula Lopes
Karl-L. Schuchmann
Matinez I. Marques
Ana S. de Oliveira
Nick A. Littlewood
Mao-Ning Tuanmu
Yi-Ru Cheng
Hsuan Chao
Sebastian Kepfer-Rojas
Andrea L. Aguilera
Lluís Brotons
Mariano J. Feldman
Louis Imbeau:
Pooja Panwar
Aaron S. Weed
Anant Dehwal
Esther Sebastián-González
Abstract
Under the current global biodiversity crisis, there is a need for automated and non-invasive monitoring techniques that are able to gather large amounts of information cost-effectively at large scales. One such technique is passive acoustic monitoring, which is commonly coupled with automatic identification of animal species based on their sound. Automated sound analyses usually require the training of sound detection and identification algorithms. These algorithms are based on annotated acoustic datasets which mark the occurrence of sounds of particular species. However, compiling large annotated acoustic datasets is time consuming and requires experts, and therefore they normally cover a reduced spatial and taxonomic scale. This data paper presents WABAD, the World Annotated Bird Acoustic Dataset for passive acoustic monitoring. WABAD is designed to provide the public, the research community, and conservation managers with a novel and globally representative annotated acoustic dataset. This database includes 5,044 minutes of audio files annotated to species-level by local experts with the start and end time, and the upper and lower frequencies of each identified bird vocalisation in the recordings. The database has a wide taxonomic and spatial coverage, including information on 90,662 vocalisations from 1,147 bird species recorded at 70 recording sites in 27 countries and distributed across 13 biomes. WABAD can be used, for example, for developing and/or validating automatic species detection algorithms, answering ecological questions, such as assessing geographical variations on bird vocalisations, or comparing acoustic diversity indices with species-based diversity indices. The dataset is published under a Creative Commons Attribution Non Commercial 4.0 International copyright.
Citation
Pérez-Granados, C., Etxebarría, J. M., Darras, K. F. A., Gómez, O. H. M., Mendoza, I., Mohedano-Muñoz, M. Á., Santamaría, E., Bastianelli, G., Márquez-Rodríguez, A., Budka, M., Bota, G., Rubio, J. M. D. L. P., Morena, E. L. G. D. L., Santa-Cruz:, M., Nava, P. D. L., Fernández-Tizón, M., Sánchez-Mateos, H., Barrero, A., Traba, J., Osiejuk, T. S., …Sebastián-González, E. WABAD: A World Annotated Bird Acoustic Dataset for Passive Acoustic Monitoring
Working Paper Type | Preprint |
---|---|
Online Publication Date | Jan 3, 2025 |
Deposit Date | Jan 21, 2025 |
Publicly Available Date | Jan 21, 2025 |
DOI | https://doi.org/10.21203/rs.3.rs-5729784/v1 |
Keywords | Animal vocalisations, Autonomous recording units, birds, human expert annotation, passive acoustic monitoring, song, soundscape |
Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss
Files
WABAD: A World Annotated Bird Acoustic Dataset for Passive Acoustic Monitoring (Preprint)
(1.7 Mb)
PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
You might also like
Making predictions of mangrove deforestation: a comparison of two methods in Kenya.
(2013)
Journal Article
Optimal Selection of a Connected Reserve Network.
(2006)
Journal Article
Incorporating spatial criteria into optimal reserve network selection.
(2002)
Journal Article
Downloadable Citations
About Edinburgh Napier Research Repository
Administrator e-mail: repository@napier.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search