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Machine Learning Algorithms Can Predict Emotional Valence Across Ungulate Vocalizations
This repository contains supplemental data associated with the study. It includes the following documents: SoundsDatabase.zip : A folder containing 3,181 individual audio recordings of animal contact calls. Each file is labeled with metadata including species, c
File Size273.6 MB
Data TypeDataset
Published2025
Licensecc-by-4.0
Total Views3,363
Total Downloads626
This repository contains supplemental data associated with the study. It includes the following documents:
- SoundsDatabase.zip : A folder containing 3,181 individual audio recordings of animal contact calls. Each file is labeled with metadata including species, context of production, and emotional valence (positive/negative).
- Data S1: A spreadsheet with detailed information for each call, including animal ID, species, call type, emotional valence, context of production, number of calls, and references to the studies from which the calls were collected.
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Files are hosted on the source repository. Click download to access the full dataset.
Lefèvre, Romain Adrien (2025). Machine Learning Algorithms Can Predict Emotional Valence Across Ungulate Vocalizations. https://doi.org/10.5281/zenodo.14636641