BANTER for Beaked Whales

Research Compendium for Rankin, et al (Ecological Informatics, https://doi.org/10.1016/j.ecoinf.2024.102511), " Open-Source machine learning BANTER acoustic classification of beaked whale echolocation pulses"

How to Cite: Rankin, S., Sakai, T., Archer, F. I., Barlow, J., Cholewiak, D., DeAngelis, A. I., ... & Trickey, J. S. (2024). Open-source machine learning BANTER acoustic classification of beaked whale echolocation pulses. Ecological Informatics, 80, 102511.

Contents

The analysis directory contains:

manuscript - Quarto (markdown) source document for manuscript and supplement. Includes code to reproduce figures generated by the analysis. Note that there are some relatively minor manual modifications between the manuscript markdown and the final submitted document. This folder include figures created for each of the study areas (code to create those figures are in the relevant study area folders).

natlantic - Markdown file for analysis of NAtlantic beaked whale dataset used in this analysis, the PAMpal acoustic study, and the banter model output. The raw data for this is not publicly available.

satlantic- Markdown file for analysis of SAtlantic beaked whale dataset used in this analysis, the PAMpal acoustic study, and the banter model output. The raw data for this is not publicly available.

hawaii- Markdown file for analysis of Hawaii beaked whale dataset used in this analysis, the PAMpal acoustic study, and the banter model output. The raw data for this is not publicly available.

epacific- Markdown file for analysis of Hawaii beaked whale dataset used in this analysis, the PAMpal acoustic study, and the banter model output. Data for the East Pacific (U.S. West Coast) is publicly available on Figshare, including the EPacific Detection Data used in this analysis.

Reproduce Methods If you would like to conduct a similar analysis on your datasets, you can analyze your data using:

• Pamguard softwater (pamguard.org)

• PAMpal

  • PAMpal on CRAN

  • Basic Tutorial (living document)

  • Detailed Tutorial with videos and test datasets on Figshare

• BANTER

  • BANTER on CRAN

  • Manual/Guide

LICENSE This content was created by U.S. Government employees as part of their official duties. This content is not subject to copyright in the United States (17 U.S.C. §105) and is in the public domain within the United States of America. Additionally, copyright is waived worldwide through the CC0 1.0 Universal public domain dedication.

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