A finely annotated dataset for the automated acoustic identification of European Orthoptera and Cicadidae

Mounting evidence points to widespread declines in insect abundance and diversity across European terrestrial ecosystems, highlighting an urgent need for effective large-scale monitoring methods. Passive acoustic monitoring enables the monitoring of sound-producing insects at an unprecedented temporal and spatial scale by remotely capturing sounds such as orthopteran stridulations and cicada timbalizations. However, current automated recognition tools for European insect sounds remain limited, and developing algorithms capable of reliably identifying diverse species requires large, ecologically heterogeneous acoustic datasets. Here we present a dataset of 11,224 recordings covering 193 orthopteran and 24 cicada species from North, Central, and temperate Western Europe. It combines coarsely labeled recordings, for which we can only infer the presence, at some point, of their target species (weak labeling), with finely annotated recordings that specify the time and frequency range of each insect sound (strong labeling). This dataset complements existing online resources and supports the advancement of automated acoustic classification for orthopterans and cicadas, aiding biodiversity monitoring efforts across Europe.

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Publication Details

Journal
Scientific Data
Published
2026-04-07
DOI
https://doi.org/10.1038/s41597-026-07150-1
Primary Topic
Animal Vocal Communication and Behavior
Type
article
Field-Weighted Citation Impact
0.00

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article

A finely annotated dataset for the automated acoustic identification of European Orthoptera and Cicadidae

Stéphane Puissant, Sebastian König, Andreas Triantafyllopoulos, Piotr Guzik et al.
Scientific Data
Animal Vocal Communication and Behavior
article

A finely annotated dataset for the automated acoustic identification of European Orthoptera and Cicadidae

Stéphane Puissant, Sebastian König, Andreas Triantafyllopoulos, Piotr Guzik, Luc Barbaro, Alexander Gebhard, Eloïsa Matheu, Yves Bas, Wolfgang Forstmeier, Tomi Trilar, Sandra Müeller, José M. Montoya, Julien Barataud, Laurent Pélozuelo, Maxime Cauchoix, David Funosas, Björn Schuller, Dominik Arend, Elodie Massol, Fernand Deroussen, Svenja Schmidt, David Sannier, David Bennett, Jérôme Sueur
article en

Abstract

Mounting evidence points to widespread declines in insect abundance and diversity across European terrestrial ecosystems, highlighting an urgent need for effective large-scale monitoring methods. Passive acoustic monitoring enables the monitoring of sound-producing insects at an unprecedented temporal and spatial scale by remotely capturing sounds such as orthopteran stridulations and cicada timbalizations. However, current automated recognition tools for European insect sounds remain limited, and developing algorithms capable of reliably identifying diverse species requires large, ecologically heterogeneous acoustic datasets. Here we present a dataset of 11,224 recordings covering 193 orthopteran and 24 cicada species from North, Central, and temperate Western Europe. It combines coarsely labeled recordings, for which we can only infer the presence, at some point, of their target species (weak labeling), with finely annotated recordings that specify the time and frequency range of each insect sound (strong labeling). This dataset complements existing online resources and supports the advancement of automated acoustic classification for orthopterans and cicadas, aiding biodiversity monitoring efforts across Europe.

Scientific Data
Centre National de la Recherche Scientifique (FR), Institut Català d'Ornitologia (ES), Université Toulouse III - Paul Sabatier (FR), Université de Bordeaux (FR), University of Freiburg (DE), Institut National Polytechnique de Toulouse (FR), Slovenian Museum of Natural History (SI), Christian-Albrechts-Universität zu Kiel (DE), Sorbonne Université (FR), Max Planck Institute for Ornithology (DE), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Histoire Naturelle des Humanités Préhistoriques (FR), Centre d'Écologie et des Sciences de la Conservation (FR), Museu de Ciències Naturals de Barcelona (ES), CIRED (FR), Institut de Systématique, Évolution, Biodiversité (FR), Centre Hospitalier Universitaire d'Angers (FR), Laboratoire d'études sur les monothéismes (FR), Muséum national d'Histoire naturelle (FR), Niowave (United States) (US), Laboratoire de recherche en cardiovasculaire, métabolisme, diabétologie et nutrition (FR), UMR BIOdiversity, GEnes & Communities (FR), Hôpitaux de Saint Maurice (FR), Génétique Physiologie et Systèmes d'Elevage (FR), Station d’Écologie Théorique et Expérimentale (FR), Géosciences Environnement Toulouse (FR), Institut de Recherche pour le Développement (FR), Structure et Instabilité des Génomes (FR), Max Planck Institute for Biological Intelligence, Imperial College London (GB), Brandenburg University of Technology Cottbus-Senftenberg (DE), Technical University of Munich (DE)
Association Nationale de la Recherche et de la Technologie, Javna Agencija za Raziskovalno Dejavnost RS
Life in Land
Openalex Percentile: Top 29%
Animal Vocal Communication and Behavior
DOIOpen Access PDFOpenAlex
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