Published July 19, 2025 | Version v1
Dataset Open

Data for: "Using accelerometer-based behavioral classification to enhance scavenger conservation"

Creators

  • 1. ROR icon Tel Aviv University
  • 2. Israeli Nature and Parks Authority
  • 3. Universidad de Oviedo
  • 4. ROR icon Universidad Autónoma de Madrid
  • 5. GREFA (Grupo de Rehabilitación de la Fauna Autóctona y su Hábitat)
  • 6. UCLA

Description

Dataset for building and using a random forest model to annotate GPS-ACC data with behaviours, as shown in the publication "Using accelerometer-based behavioral classification to enhance scavenger conservation". 

This file contains the R code, the training dataset for annotating the behaviours of Griffon Vultures (Gyps fulvus), and example datasets for individuals wanting to use the code for other species. 

The full GitHub tutorial can be found at: https://github.com/Orrslab/ACC_behavior_classification

And the preprint of the publication can be found at: https://doi.org/10.32942/X2WK9Z

Files

Griffon_Behavioral_Classification.zip

Files (37.9 MB)

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Additional details

Software

Repository URL
https://github.com/Orrslab/ACC_behavior_classification
Programming language
R