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Code and Data for <i>Animal Behaviour </i>article - Effects of bias when using “black box” models: Reevaluating the evidence for the use of name-like calls by elephants

Domain:

environment and energy

Record type:

datasetsoftware
Creator:
Guh
Host:avatar

This repository contains all processed datasets and R codes used in the Animal Behaviour article titled: Effects of bias when using “black box” models: Reevaluating the evidence for the use of name-like calls by elephants

To run the code please download the file "Dharmarajan_AnimalBehaviour_Code.zip".

Unzip the file and follow the instructions detailed in the file titled "__README.txt"

Please note: This code depends on raw data published earlier:

  1. Pardo, M. A., Fristrup, K., Lolchuragi, D. S., Poole, J. H., Granli, P., Moss, C., Douglas-Hamilton, I., & Wittemyer, G. (2024). African elephants address one another with individually specific name-like calls. Nature Ecology and Evolution, 8(7), 1353-1364. https://doi.org/10.1038/s41…
  2. Recalde, N. M., Estandía, A., Pichot, L., Vansse, A., Cole, E. F., & Sheldon, B. C. (2024). A densely sampled and richly annotated acoustic data set from a wild bird population. Animal Behaviour, 211, 111-122. https://doi.org/10.1016/j.a…

Details of these datasets can be found in the related materials below.

Tags

Behavioural ecologyArtificial intelligenceautocorrelationfalse positivenull modelspseudoreplicationsampling biasrandom forestsbioacousticsvocalization

Licenses

CC BY 4.0

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