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