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Classification of African ground pangolin behaviour based on accelerometer readouts: validation of bio-logging methods

Domaine:

environment and energy

Type de record:

datasetsoftware
Créateur:
Daire, CarrollJessica, Harvey-Carroll
Éditeur:
Jessica, Harvey-CarrollDaire, CarrollCara-Marie, TrivellaEllen, Connelly
Éditeur:
Zenodo
Hôte:avatar

Data and R Scripts for the manuscript titled "Classification of African ground pangolin behaviour based on accelerometer readouts: validation of bio-logging methods".

Code is for labelling accelerometer data and running a random forest model.
Script01. Label the accelerometer data with behavioural labels from BORIS
Script02. Create summary metrics and resample frequencies. This includes code adapted from (Clark, 2019; Clark et al., 2022). ore.exeter.ac.uk, int-res.com
Script03. Run random forest for each frequency and smoothing window.

AccelerometerData.zip containes Files grouped by individual. For each individual there is:

Accelerometer_data: Accelerometer data.

ID: BORIS behaviour output

ID_labs: Labelled accelerometer data

Visit

doi.org

Licenses

info:eu-repo/semantics/openAccessCreative Commons Attribution 4.0 Internationalhttps://creativecommons.org/licenses/by/4.0/legalcode

Similaires

Additional file 1 of Classification of African ground pangolin behaviour based on accelerometer readouts: validation of bio-logging methods

Additional file 1 of Classification of African ground pangolin behaviour based on accelerometer readouts: validation of bio-logging methods

Additional file 1. Example ground pangolin behaviour used for accelerometer classification.