Caller identification and characterization of individual humpback whale acoustic behavior ...

Acoustic recording tags provide fine scale data linking acoustic signaling with individual behavior; however, when an animal is in a group, it is challenging to tease apart calls of conspecifics and identify which individuals produce each call. This, in turn, prohibits robust assessment of individua...

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Main Authors: Zeh, Julia, Perez-Marrufo, Valeria, Adcock, Dana, Knapp, Kaitlyn, Jensen, Frants, Robbins, Jooke, Tackaberry, Jennifer, Weinrich, Mason, Friedlaender, Ari, Wiley, David, Parks, Susan
Format: Dataset
Language:English
Published: Dryad 2023
Subjects:
Online Access:https://dx.doi.org/10.5061/dryad.w9ghx3fw2
https://datadryad.org/stash/dataset/doi:10.5061/dryad.w9ghx3fw2
id ftdatacite:10.5061/dryad.w9ghx3fw2
record_format openpolar
spelling ftdatacite:10.5061/dryad.w9ghx3fw2 2024-09-30T14:36:18+00:00 Caller identification and characterization of individual humpback whale acoustic behavior ... Zeh, Julia Perez-Marrufo, Valeria Adcock, Dana Knapp, Kaitlyn Jensen, Frants Robbins, Jooke Tackaberry, Jennifer Weinrich, Mason Friedlaender, Ari Wiley, David Parks, Susan 2023 https://dx.doi.org/10.5061/dryad.w9ghx3fw2 https://datadryad.org/stash/dataset/doi:10.5061/dryad.w9ghx3fw2 en eng Dryad https://dx.doi.org/10.1101/2023.10.17.562793 https://dx.doi.org/10.1098/rsos.231608 https://dx.doi.org/10.5281/zenodo.10070071 Creative Commons Zero v1.0 Universal https://creativecommons.org/publicdomain/zero/1.0/legalcode cc0-1.0 FOS: Biological sciences biologging bouts call rate caller ID DTAG Humpback whales tags vocal exchange Dataset dataset 2023 ftdatacite https://doi.org/10.5061/dryad.w9ghx3fw210.1101/2023.10.17.56279310.1098/rsos.23160810.5281/zenodo.10070071 2024-09-02T10:01:31Z Acoustic recording tags provide fine scale data linking acoustic signaling with individual behavior; however, when an animal is in a group, it is challenging to tease apart calls of conspecifics and identify which individuals produce each call. This, in turn, prohibits robust assessment of individual acoustic behavior including call rates and silent periods, call bout production within and between individuals, and caller location. To overcome this challenge, we simultaneously instrumented small groups of humpback whales on a western North Atlantic feeding ground with sound and movement recording tags. This approach enabled comparison of relative amplitude of each call across individuals to infer caller identity for 97% of calls. We found that humpback whale individual call rates are highly variable across individuals and groups (0-89 calls/h), with calls produced throughout dives and in bouts with short inter-call intervals (ICI = 2.2s). Most calls received a likely response from a conspecific within 100s. ... : # Humpback Whale Caller ID [https://doi.org/10.5061/dryad.w9ghx3fw2](https://doi.org/10.5061/dryad.w9ghx3fw2) The data included here are processed measurements and code from analysis of humpback whale tag records collected as part of a large collaborative study in the Gulf of Maine. The data include caller ID classifications for calls detected on 16 tags across 7 different groups of 2-3 humpback whales, as well as calculated inter-call intervals within and between individuals, and whale depth at the time of production of each focal call. ## Description of the data and file structure 1. Focal/non-focal call analysis The file "CallAnalysis_Focal_Nonfocal.csv" lists all of the selections which were made manually in the tag record, as described in the manuscript. The file lists call number, call start time, group ID, and then columns for each of the tags in the group (Tags A, B, and C). The Tag C column is listed as NA if there were only two tags in a given group. The Tag A, B, and C columns list the caller ID ... Dataset Humpback Whale North Atlantic DataCite
institution Open Polar
collection DataCite
op_collection_id ftdatacite
language English
topic FOS: Biological sciences
biologging
bouts
call rate
caller ID
DTAG
Humpback whales
tags
vocal exchange
spellingShingle FOS: Biological sciences
biologging
bouts
call rate
caller ID
DTAG
Humpback whales
tags
vocal exchange
Zeh, Julia
Perez-Marrufo, Valeria
Adcock, Dana
Knapp, Kaitlyn
Jensen, Frants
Robbins, Jooke
Tackaberry, Jennifer
Weinrich, Mason
Friedlaender, Ari
Wiley, David
Parks, Susan
Caller identification and characterization of individual humpback whale acoustic behavior ...
topic_facet FOS: Biological sciences
biologging
bouts
call rate
caller ID
DTAG
Humpback whales
tags
vocal exchange
description Acoustic recording tags provide fine scale data linking acoustic signaling with individual behavior; however, when an animal is in a group, it is challenging to tease apart calls of conspecifics and identify which individuals produce each call. This, in turn, prohibits robust assessment of individual acoustic behavior including call rates and silent periods, call bout production within and between individuals, and caller location. To overcome this challenge, we simultaneously instrumented small groups of humpback whales on a western North Atlantic feeding ground with sound and movement recording tags. This approach enabled comparison of relative amplitude of each call across individuals to infer caller identity for 97% of calls. We found that humpback whale individual call rates are highly variable across individuals and groups (0-89 calls/h), with calls produced throughout dives and in bouts with short inter-call intervals (ICI = 2.2s). Most calls received a likely response from a conspecific within 100s. ... : # Humpback Whale Caller ID [https://doi.org/10.5061/dryad.w9ghx3fw2](https://doi.org/10.5061/dryad.w9ghx3fw2) The data included here are processed measurements and code from analysis of humpback whale tag records collected as part of a large collaborative study in the Gulf of Maine. The data include caller ID classifications for calls detected on 16 tags across 7 different groups of 2-3 humpback whales, as well as calculated inter-call intervals within and between individuals, and whale depth at the time of production of each focal call. ## Description of the data and file structure 1. Focal/non-focal call analysis The file "CallAnalysis_Focal_Nonfocal.csv" lists all of the selections which were made manually in the tag record, as described in the manuscript. The file lists call number, call start time, group ID, and then columns for each of the tags in the group (Tags A, B, and C). The Tag C column is listed as NA if there were only two tags in a given group. The Tag A, B, and C columns list the caller ID ...
format Dataset
author Zeh, Julia
Perez-Marrufo, Valeria
Adcock, Dana
Knapp, Kaitlyn
Jensen, Frants
Robbins, Jooke
Tackaberry, Jennifer
Weinrich, Mason
Friedlaender, Ari
Wiley, David
Parks, Susan
author_facet Zeh, Julia
Perez-Marrufo, Valeria
Adcock, Dana
Knapp, Kaitlyn
Jensen, Frants
Robbins, Jooke
Tackaberry, Jennifer
Weinrich, Mason
Friedlaender, Ari
Wiley, David
Parks, Susan
author_sort Zeh, Julia
title Caller identification and characterization of individual humpback whale acoustic behavior ...
title_short Caller identification and characterization of individual humpback whale acoustic behavior ...
title_full Caller identification and characterization of individual humpback whale acoustic behavior ...
title_fullStr Caller identification and characterization of individual humpback whale acoustic behavior ...
title_full_unstemmed Caller identification and characterization of individual humpback whale acoustic behavior ...
title_sort caller identification and characterization of individual humpback whale acoustic behavior ...
publisher Dryad
publishDate 2023
url https://dx.doi.org/10.5061/dryad.w9ghx3fw2
https://datadryad.org/stash/dataset/doi:10.5061/dryad.w9ghx3fw2
genre Humpback Whale
North Atlantic
genre_facet Humpback Whale
North Atlantic
op_relation https://dx.doi.org/10.1101/2023.10.17.562793
https://dx.doi.org/10.1098/rsos.231608
https://dx.doi.org/10.5281/zenodo.10070071
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.w9ghx3fw210.1101/2023.10.17.56279310.1098/rsos.23160810.5281/zenodo.10070071
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