Contributors
Daniel Langenkämper:
ORCID: http://orcid.org/0000-0003-1857-5040
Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole:
MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original
draftRole: Writing – review & editing
Erik Simon-Lledó:
ORCID: http://orcid.org/0000-0001-9667-2917
Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole:
MethodologyRole: ValidationRole: Writing – review & editing
Brett Hosking: Role: ConceptualizationRole: Formal analysisRole: InvestigationRole: MethodologyRole:
ValidationRole: Writing – review & editing
Daniel O. B. Jones:
ORCID: http://orcid.org/0000-0001-5218-1649
Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole:
Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: Writing
– review & editing
Tim W. Nattkemper: Role: ConceptualizationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole:
Project administrationRole: ResourcesRole: SupervisionRole: ValidationRole: VisualizationRole:
Writing – original draftRole: Writing – review & editing
Cem M. Deniz: Role: Editor
Journal
Journal ID (nlm-ta): PLoS One
Journal ID (iso-abbrev): PLoS ONE
Journal ID (publisher-id): plos
Journal ID (pmc): plosone
Title:
PLoS ONE
Publisher:
Public Library of Science
(San Francisco, CA USA
)
ISSN
(Electronic):
1932-6203
Publication date Collection: 2019
Publication date
(Electronic):
12
June
2019
Volume: 14
Issue: 6
Electronic Location Identifier: e0218086
Affiliations
[1
]
Biodata Mining Group, Faculty of Technology, Bielefeld University, Bielefeld, Germany
[2
]
National Oceanography Centre, University of Southampton Waterfront Campus, Southampton,
United Kingdom
New York University School of Medicine, UNITED STATES
Author notes
Competing Interests: The GPU donation from NVIDIA Corporation does not introduce a competing interest.
This does not alter our adherence to PLOS ONE policies on sharing data and materials.
Author information
Article
Publisher ID:
PONE-D-18-30321
DOI: 10.1371/journal.pone.0218086
PMC ID: 6561570
PubMed ID: 31188894
SO-VID: 3b2d4c9b-01b6-4373-b482-c956329d8e24
Copyright © © 2019 Langenkämper et al
License:
This is an open access article distributed under the terms of the
Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided
the original author and source are credited.
History
Date
received
: 19
October
2018
Date
accepted
: 25
May
2019
Page count
Figures: 8,
Tables: 1,
Pages: 16
Funding
We thank NVIDIA Corporation (
www.nvidia.com) for donating the GPU used in this project to TWN. The funder provided no support
in the form of salaries for any author and did not have any additional role in the
study design, data collection and analysis, decision to publish, or preparation of
the manuscript. DL has received funding by Projektträger Jülich (grant no 03F0707C),
as well as ESL, DOBJ under the framework of JPI Oceans. ESL, DOBJ, BH have received
funding from the European Union Seventh Framework Programme (FP7/2007-2013) under
the MIDAS (Managing Impacts of DeepseA reSource exploitation) project, grant agreement
603418. Funding was also provided from the UK Natural Environment Research Council
through National Capability funding to NOC. The funder provided support in the form
of salaries for authors DL, ESL, DOBJ, BH, but did not have any additional role in
the study design, data collection and analysis, decision to publish, or preparation
of the manuscript. The specific roles of these authors are articulated in the ‘author
contributions’ section”.
Categories
Subject:
Research Article
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Deep Learning
Subject:
Science Policy
Subject:
Science and Technology Workforce
Subject:
Careers in Research
Subject:
Scientists
Subject:
People and Places
Subject:
Population Groupings
Subject:
Professions
Subject:
Scientists
Subject:
Science Policy
Subject:
Science and Technology Workforce
Subject:
Citizen Science
Subject:
Biology and Life Sciences
Subject:
Marine Biology
Subject:
Earth Sciences
Subject:
Marine and Aquatic Sciences
Subject:
Marine Biology
Subject:
Computer and Information Sciences
Subject:
Artificial Intelligence
Subject:
Machine Learning
Subject:
Earth Sciences
Subject:
Marine and Aquatic Sciences
Subject:
Research and Analysis Methods
Subject:
Imaging Techniques
Subject:
Biology and Life Sciences
Subject:
Organisms
Subject:
Eukaryota
Subject:
Animals
Subject:
Vertebrates
Subject:
Fish
Subject:
Marine Fish
Subject:
Biology and Life Sciences
Subject:
Marine Biology
Subject:
Marine Fish
Subject:
Earth Sciences
Subject:
Marine and Aquatic Sciences
Subject:
Marine Biology
Subject:
Marine Fish
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