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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Bibliographic Details
Main Authors: Sweeney, David A., DeRuiter, Stacy L., McNamara-Oh, Ye Joo, Marques, Tiago A., Arranz, Patricia, Calambokidis, John
Format: Dataset
Language:English
Published: Dryad 2019
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.bd8j403
https://datadryad.org/stash/dataset/doi:10.5061/dryad.bd8j403
id ftdatacite:10.5061/dryad.bd8j403
record_format openpolar
spelling ftdatacite:10.5061/dryad.bd8j403 2024-02-04T09:59:05+01:00 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 https://dx.doi.org/10.5061/dryad.bd8j403 https://datadryad.org/stash/dataset/doi:10.5061/dryad.bd8j403 en eng Dryad https://dx.doi.org/10.1186/s40317-019-0169-3 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 blue whale Grampus griseus Risso’s dolphin norm-jerk 2010 - 2014 Balaenoptera musculus lunge prey capture detector Dataset dataset 2019 ftdatacite https://doi.org/10.5061/dryad.bd8j40310.1186/s40317-019-0169-3 2024-01-05T01:14:15Z 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 DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic blue whale
Grampus griseus
Risso’s dolphin
norm-jerk
2010 - 2014
Balaenoptera musculus
lunge
prey capture
detector
spellingShingle 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 ...
publisher Dryad
publishDate 2019
url https://dx.doi.org/10.5061/dryad.bd8j403
https://datadryad.org/stash/dataset/doi:10.5061/dryad.bd8j403
genre Balaenoptera musculus
Blue whale
genre_facet Balaenoptera musculus
Blue whale
op_relation https://dx.doi.org/10.1186/s40317-019-0169-3
op_rights Creative Commons Zero v1.0 Universal
https://creativecommons.org/publicdomain/zero/1.0/legalcode
cc0-1.0
op_doi https://doi.org/10.5061/dryad.bd8j40310.1186/s40317-019-0169-3
_version_ 1789963726524252160