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Experimental Data for Research: Masking a fish′s detection of environmental stimuli: application to improving downstream migration

Experimental Data for Research: Masking a fish′s detection of environmental stimuli: application to improving downstream migration
Experimental Data for Research: Masking a fish′s detection of environmental stimuli: application to improving downstream migration
Dataset includes raw Acoustic Doppler Velocimeter data and results of the fish trials with tracked positions. This dataset supports the publication: Kerr, J., & Kemp, P. (2018). Masking a fish′s detection of environmental stimuli: application to improving downstream migration. Journal of Fish Biology. DOI: 10.1111/jfb.13812
University of Southampton
Kerr, James
cfdf2892-19c2-4206-9416-848b2b0f672c
Kerr, James
cfdf2892-19c2-4206-9416-848b2b0f672c

Kerr, James (2018) Experimental Data for Research: Masking a fish′s detection of environmental stimuli: application to improving downstream migration. University of Southampton doi:10.5258/SOTON/D0664 [Dataset]

Record type: Dataset

Abstract

Dataset includes raw Acoustic Doppler Velocimeter data and results of the fish trials with tracked positions. This dataset supports the publication: Kerr, J., & Kemp, P. (2018). Masking a fish′s detection of environmental stimuli: application to improving downstream migration. Journal of Fish Biology. DOI: 10.1111/jfb.13812

Archive
Data_Masking_a_fish_s_detection_of_environmental_stimuli.zip - Dataset
Available under License Creative Commons Attribution.
Download (183MB)
Text
readme_D0664.txt - Dataset
Available under License Creative Commons Attribution.
Download (915B)

More information

Published date: 24 September 2018
Organisations: Civil, Maritime and Environmental Engineering

Identifiers

Local EPrints ID: 423493
URI: http://eprints.soton.ac.uk/id/eprint/423493
PURE UUID: ea514757-be4a-4d2b-9d30-70aae0ae0b48
ORCID for James Kerr: ORCID iD orcid.org/0000-0002-2990-7293

Catalogue record

Date deposited: 24 Sep 2018 16:31
Last modified: 13 Nov 2023 02:44

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