Sounds from unknown fish sources as potential indicators for marine ecosystem changes

The following files were created as part of the 2023/2024 MoBi Master thesis project. Supervisors: Dr Manuel Vieira & Prof M. Clara P. Amorim. A) ML_test_runs_Arrabida.xlsx - Database on trained and tested runs for automatically detecting fish sounds by programmes “BirdNet analyzer”, “Kaldeidoscope” and Hidden Markov models “HTK”. B) Arrabida_annotations.xlsx - Database on manual annotations. C) Arrabida_script.R - RScript to assess and analyse the database “Arrabida_annotations”. MoBi - Master of Bioacoustics [email protected] ENES - Université Jean Monnet Departamento de Biologia Animal, Faculdade de Ciências da Universidade de Lisboa MARE – Marine and Environmental Sciences Centre / ARNET - Aquatic Research Network, Faculdade de Ciências, Universidade de Lisboa

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-08-30
DOI
https://doi.org/10.5281/zenodo.13619742
Primary Topic
Marine animal studies overview
Type
article
Field-Weighted Citation Impact
0.00
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article

Sounds from unknown fish sources as potential indicators for marine ecosystem changes

Zenodo (CERN European Organization for Nuclear Research)
Marine animal studies overview
article

Sounds from unknown fish sources as potential indicators for marine ecosystem changes

article en

Abstract

The following files were created as part of the 2023/2024 MoBi Master thesis project. Supervisors: Dr Manuel Vieira & Prof M. Clara P. Amorim. A) ML_test_runs_Arrabida.xlsx - Database on trained and tested runs for automatically detecting fish sounds by programmes “BirdNet analyzer”, “Kaldeidoscope” and Hidden Markov models “HTK”. B) Arrabida_annotations.xlsx - Database on manual annotations. C) Arrabida_script.R - RScript to assess and analyse the database “Arrabida_annotations”. MoBi - Master of Bioacoustics [email protected] ENES - Université Jean Monnet Departamento de Biologia Animal, Faculdade de Ciências da Universidade de Lisboa MARE – Marine and Environmental Sciences Centre / ARNET - Aquatic Research Network, Faculdade de Ciências, Universidade de Lisboa

Zenodo (CERN European Organization for Nuclear Research)
Life below water
Openalex Percentile: Top 69%
Marine animal studies overview
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