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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Online Access: | https://dx.doi.org/10.5061/dryad.w9ghx3fw2 https://datadryad.org/stash/dataset/doi:10.5061/dryad.w9ghx3fw2 |
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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 |
_version_ |
1811639399912308736 |