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. 2026 Feb 7;107(2):e70317. doi: 10.1002/ecy.70317

WABAD: A world annotated bird acoustic dataset for passive acoustic monitoring

Cristian Pérez‐Granados 1,2,, Jon Morant 2, Kevin F A Darras 3, Oscar H Marín‐Gómez 4, Irene Mendoza 5,6, Miguel A Muñoz‐Mohedano 6,7, Eduardo Santamaría‐García 6, Giulia Bastianelli 6, Alba Márquez‐Rodríguez 6,8, Michał Budka 9, Gerard Bota 1, José M De la Peña‐Rubio 10, Eladio L García de la Morena 11, Manu Santa‐Cruz 12, Pablo de la Nava 13, Mario Fernández‐Tizón 14, Hugo Sánchez‐Mateos 15, Adrián Barrero 16,17, Juan Traba 16,17, Tomasz S Osiejuk 9, Patrick J Hart 18, Amanda K Navine 18, Andrés F Montoya Muñoz 4, Carlos B de Araujo 19, Gabriel L M Rosa 20, Ingrid M Denóbile Torres 21, Ana L Camargo Catalano 21, Cássio Rachid Simões 21,22, Diego Llusia 16,17,23, Manuel B Morales 16,17, Pablo Acebes 16,17, Juan A Medina 24, Nicholas Brown 16,25, Christos Astaras 26, Ilias Karmiris 26, Elizabeth Navarrete 26, Maxime Cauchoix 27, Luc Barbaro 28, David Funosas 29, Dominik Arend 30, Sandra Müeller 30, Fernando González‐García 31, Alberto González‐Romero 31, Christos Mammides 32, Michaelangelo Pontikis 33, Giordano Jacuzzi 34, Julian D Olden 34, Sara P Bombaci 35, Gabriel Marcacci 36, Alain Jacot 36, Juan P Zurano 19, Elena Gangenova 19, Diego Varela 19, Facundo Di Sallo 19, Gustavo A Zurita 19, Andrey Atemasov 37, Junior A Tremblay 38, Vincent Lamarre 38, Anja Hutschenreiter 39, Alan Monroy‐Ojeda 40, Mauricio Díaz‐Vallejo 41,42, Sergio Chaparro‐Herrera 43, Robert A Briers 44, Renata Sousa‐Lima 45, Thiago Pinheiro 45, Wigna C da Silva 45, Alice Calvente 46, Anamaria Dal Molin 47, Alexandre Antonelli 48,49,50, Svetlana Gogoleva 51,52, Igo Palko 52, Hiếu Vũ Trọng 52, Marina H Lage Duarte 53,54, Natalia dos Santos Saturnino 54, Samuel R Silva 54, Ana Rainho 55, Paula Lopes 55,56, Karl‐L Schuchmann 57,58, Marinêz I Marques 57, Ana S de Oliveira 57, Nick A Littlewood 59, Mao‐Ning Tuanmu 60, Yi‐Ru Cheng 60, Hsuan Chao 60, Sebastian Kepfer‐Rojas 61, Andrea L Aguilera 62, Lluís Brotons 1,63,64, Mariano J Feldman 1, Louis Imbeau 65, Pooja Panwar 66, Aaron S Weed 67, Anant Deshwal 68, Raiane Vital da Paz 69,70, Carlos Salustio‐Gomes 69,70, Dorgival D Oliveira‐Júnior 69,70, Cicero S Lima‐Santos 69,70, Mauro Pichorim 69,70, Wuyuan Pan 71, Eben Goodale 72, Alfredo Attisano 73, Jörn Theuerkauf 73, Esther Sebastián‐González 2,74
PMCID: PMC12881925  PMID: 41652929

Abstract

Under the current global biodiversity crisis, there is a need for automated and noninvasive monitoring techniques that can gather large amounts of data cost‐effectively at various ecological scales, from local to large spatial scales. These data can then be analyzed to inform stakeholders and decision‐makers. 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 species inside sound recordings. However, compiling large annotated acoustic datasets is time‐consuming and requires experts, and therefore, they normally cover reduced spatial, temporal, and taxonomic scales. 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 5047 min 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 vocalization in the recordings. The database has a wide taxonomic and spatial coverage, including information on 91,931 vocalizations from 1192 bird species recorded at 72 recording sites in 29 recording locations (mainly 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 vocalizations, or comparing acoustic diversity indices with species‐based diversity indices. The dataset is published under a Creative Commons Attribution 4.0 International license that permits redistribution and reuse on the condition that the original work is properly credited.

Keywords: animal vocalizations, automated sound recorder, autonomous recording units, birds, human expert annotation, passive acoustic monitoring, song, soundscape

CONFLICT OF INTEREST STATEMENT

The authors declare no conflicts of interest.

Supporting information

Metadata S1.

Pérez‐Granados, Cristian , Morant Jon, Darras Kevin F. A., Marín‐Gómez Oscar H., Mendoza Irene, Muñoz‐Mohedano Miguel A., Santamaría‐García Eduardo, et al. 2026. “ WABAD: A World Annotated Bird Acoustic Dataset for Passive Acoustic Monitoring.” Ecology 107(2): e70317. 10.1002/ecy.70317

Handling Editor: Kathryn L. Cottingham

DATA AVAILABILITY STATEMENT

Metadata are available as Supporting Information. Due to size, the complete audio files, their annotations, and associated metadata are available in Zenodo at https://doi.org/10.5281/zenodo.17293588.

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Metadata S1.

Data Availability Statement

Metadata are available as Supporting Information. Due to size, the complete audio files, their annotations, and associated metadata are available in Zenodo at https://doi.org/10.5281/zenodo.17293588.


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