Data from: Automated peak detection method for behavioral event identification: detecting Balaenoptera musculus and Grampus griseus feeding attempts
The desire of animal behaviorists for more flexible methods of conducting inter-study and inter-specific comparisons and meta-analysis of various animal behaviors compelled us to design an automated, animal behavior peak detection method that is potentially generalizable to a wide variety of data ty...
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ftzenodo:oai:zenodo.org:4947777 2023-05-15T15:36:19+02:00 Data from: Automated peak detection method for behavioral event identification: detecting Balaenoptera musculus and Grampus griseus feeding attempts Sweeney, David A. DeRuiter, Stacy L. McNamara-Oh, Ye Joo Marques, Tiago A. Arranz, Patricia Calambokidis, John 2019-04-09 https://zenodo.org/record/4947777 https://doi.org/10.5061/dryad.bd8j403 unknown doi:10.1186/s40317-019-0169-3 https://zenodo.org/communities/dryad https://zenodo.org/record/4947777 https://doi.org/10.5061/dryad.bd8j403 oai:zenodo.org:4947777 info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode blue whale Grampus griseus Risso's dolphin norm-jerk 2010 - 2014 Balaenoptera musculus lunge prey capture detector info:eu-repo/semantics/other dataset 2019 ftzenodo https://doi.org/10.5061/dryad.bd8j40310.1186/s40317-019-0169-3 2023-03-10T19:23:11Z The desire of animal behaviorists for more flexible methods of conducting inter-study and inter-specific comparisons and meta-analysis of various animal behaviors compelled us to design an automated, animal behavior peak detection method that is potentially generalizable to a wide variety of data types, animals, and behaviors. We detected the times of feeding attempts by 12 Risso's dolphins (Grampus griseus) and 36 blue whales (Balaenoptera musculus) using the norm-jerk (rate of change of acceleration) time series. The automated peak detection algorithm identified median true-positive rates of 0.881 for blue whale lunges and 0.410 for Risso's dolphin prey capture attempts, with median false-positive rates of 0.096 and 0.007 and median miss rates of 0.113 and 0.314, respectively. Our study demonstrates that our peak detection method is efficient at automatically detecting animal behaviors from multisensor tag data with high accuracy for behaviors that are appropriately characterized by the data time series. example_detectionsPDF file containing examples of how to perform detections using detect_peaks using a few different signals.testset1Dataset used in creating the example_detections PDF file.blue_whale_figuresROC and side-by-side plots similar to those seen in the manuscript for all of the blue whale data used in this study.risso_dolphin_figuresdataAll data and code used in this study.detector stats tableAll detection statistics for all individual animals used in this study. Dataset Balaenoptera musculus Blue whale Zenodo |
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blue whale Grampus griseus Risso's dolphin norm-jerk 2010 - 2014 Balaenoptera musculus lunge prey capture detector |
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blue whale Grampus griseus Risso's dolphin norm-jerk 2010 - 2014 Balaenoptera musculus lunge prey capture detector Sweeney, David A. DeRuiter, Stacy L. McNamara-Oh, Ye Joo Marques, Tiago A. Arranz, Patricia Calambokidis, John Data from: Automated peak detection method for behavioral event identification: detecting Balaenoptera musculus and Grampus griseus feeding attempts |
topic_facet |
blue whale Grampus griseus Risso's dolphin norm-jerk 2010 - 2014 Balaenoptera musculus lunge prey capture detector |
description |
The desire of animal behaviorists for more flexible methods of conducting inter-study and inter-specific comparisons and meta-analysis of various animal behaviors compelled us to design an automated, animal behavior peak detection method that is potentially generalizable to a wide variety of data types, animals, and behaviors. We detected the times of feeding attempts by 12 Risso's dolphins (Grampus griseus) and 36 blue whales (Balaenoptera musculus) using the norm-jerk (rate of change of acceleration) time series. The automated peak detection algorithm identified median true-positive rates of 0.881 for blue whale lunges and 0.410 for Risso's dolphin prey capture attempts, with median false-positive rates of 0.096 and 0.007 and median miss rates of 0.113 and 0.314, respectively. Our study demonstrates that our peak detection method is efficient at automatically detecting animal behaviors from multisensor tag data with high accuracy for behaviors that are appropriately characterized by the data time series. example_detectionsPDF file containing examples of how to perform detections using detect_peaks using a few different signals.testset1Dataset used in creating the example_detections PDF file.blue_whale_figuresROC and side-by-side plots similar to those seen in the manuscript for all of the blue whale data used in this study.risso_dolphin_figuresdataAll data and code used in this study.detector stats tableAll detection statistics for all individual animals used in this study. |
format |
Dataset |
author |
Sweeney, David A. DeRuiter, Stacy L. McNamara-Oh, Ye Joo Marques, Tiago A. Arranz, Patricia Calambokidis, John |
author_facet |
Sweeney, David A. DeRuiter, Stacy L. McNamara-Oh, Ye Joo Marques, Tiago A. Arranz, Patricia Calambokidis, John |
author_sort |
Sweeney, David A. |
title |
Data from: Automated peak detection method for behavioral event identification: detecting Balaenoptera musculus and Grampus griseus feeding attempts |
title_short |
Data from: Automated peak detection method for behavioral event identification: detecting Balaenoptera musculus and Grampus griseus feeding attempts |
title_full |
Data from: Automated peak detection method for behavioral event identification: detecting Balaenoptera musculus and Grampus griseus feeding attempts |
title_fullStr |
Data from: Automated peak detection method for behavioral event identification: detecting Balaenoptera musculus and Grampus griseus feeding attempts |
title_full_unstemmed |
Data from: Automated peak detection method for behavioral event identification: detecting Balaenoptera musculus and Grampus griseus feeding attempts |
title_sort |
data from: automated peak detection method for behavioral event identification: detecting balaenoptera musculus and grampus griseus feeding attempts |
publishDate |
2019 |
url |
https://zenodo.org/record/4947777 https://doi.org/10.5061/dryad.bd8j403 |
genre |
Balaenoptera musculus Blue whale |
genre_facet |
Balaenoptera musculus Blue whale |
op_relation |
doi:10.1186/s40317-019-0169-3 https://zenodo.org/communities/dryad https://zenodo.org/record/4947777 https://doi.org/10.5061/dryad.bd8j403 oai:zenodo.org:4947777 |
op_rights |
info:eu-repo/semantics/openAccess https://creativecommons.org/publicdomain/zero/1.0/legalcode |
op_doi |
https://doi.org/10.5061/dryad.bd8j40310.1186/s40317-019-0169-3 |
_version_ |
1766366655921782784 |