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Cited by 898

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A digital acoustic recording tag for measuring the response of wild marine mammals to sound

Johnson, M.P., Tyack, P.L.·2003·IEEE Journal of Oceanic Engineering

Abstract

Definitive studies on the response of marine mammals to anthropogenic sound are hampered by the short surface time and deep-diving lifestyle of many species. A novel archival tag, called the DTAG, has been developed to monitor the behavior of marine mammals, and their response to sound, continuously throughout the dive cycle. The tag contains a large array of solid-state memory and records continuously from a built-in hydrophone and suite of sensors. The sensors sample the orientation of the animal in three dimensions with sufficient speed and resolution to capture individual fluke strokes. Audio and sensor recording is synchronous so the relative timing of sounds and motion can be determined precisely. The DTAG has been attached to more than 30 northern right whales (Eubalaena glacialis) and 20 sperm whales (Physeter macrocephalus) with recording duration of up to 12 h per deployment. Several deployments have included sound playbacks to the tagged whale and a transient response to at least one playback is evident in the tag data.

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Crossref · 10.1109/joe.2002.808212

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Metadata

Authors
Johnson, M. P., & Tyack, P. L.
Venue
IEEE Journal of Oceanic Engineering
Published
2003-01
Volume
28
Issue
1
Pages
3-12
ISSN
0364-9059 (ISSN-L)
OpenAlex
W2105879912
Cited by
898
References
0
FWCI
17.08
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A digital acoustic recording tag for measuring the response of wild marine mammals to sound. https://app.cochat.ai/papers/10.1109/joe.2002.808212
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Johnson, M. P., & Tyack, P. L. (2003). A digital acoustic recording tag for measuring the response of wild marine mammals to sound. IEEE Journal of Oceanic Engineering. https://doi.org/10.1109/joe.2002.808212

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.