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

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/11179371
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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 BORISScript02. Create summary metrics and resample frequencies. This includes code adapted from (Clark, 2019; Clark et al., 2022). https://ore.exeter.ac.uk/repository/handle/10871/120152, https://www.int-res.com/abstracts/meps/v701/p145-157/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
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2024-06-18
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