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Dataset on non-state actor participation in regional fisheries management organizations

In this article, we present and describe a new dataset of non-state actor participation in seven regional fisheries management organizations (RFMOs). The dataset contains institutional, economic and ecological variables relevant for non-state actor participation in RFMOs and for RFMO effectiveness....

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Autores principales: Dellmuth, Lisa M., Petersson, Matilda T., Dunn, Daniel C., Boustany, André, Halpin, Patrick N.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773567/
https://www.ncbi.nlm.nih.gov/pubmed/33392369
http://dx.doi.org/10.1016/j.dib.2020.106682
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author Dellmuth, Lisa M.
Petersson, Matilda T.
Dunn, Daniel C.
Boustany, André
Halpin, Patrick N.
author_facet Dellmuth, Lisa M.
Petersson, Matilda T.
Dunn, Daniel C.
Boustany, André
Halpin, Patrick N.
author_sort Dellmuth, Lisa M.
collection PubMed
description In this article, we present and describe a new dataset of non-state actor participation in seven regional fisheries management organizations (RFMOs). The dataset contains institutional, economic and ecological variables relevant for non-state actor participation in RFMOs and for RFMO effectiveness. To code non-state actor participation and institutional factors, we quantify information from publicly available RFMO reports as well as data from the Policy IV dataset. We pair these data with existing datasets on ecological and economic factors from the RAM Legacy and the Sea Around Us databases. This article describes the data collection process and the coded variables in detail.
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spelling pubmed-77735672020-12-31 Dataset on non-state actor participation in regional fisheries management organizations Dellmuth, Lisa M. Petersson, Matilda T. Dunn, Daniel C. Boustany, André Halpin, Patrick N. Data Brief Data Article In this article, we present and describe a new dataset of non-state actor participation in seven regional fisheries management organizations (RFMOs). The dataset contains institutional, economic and ecological variables relevant for non-state actor participation in RFMOs and for RFMO effectiveness. To code non-state actor participation and institutional factors, we quantify information from publicly available RFMO reports as well as data from the Policy IV dataset. We pair these data with existing datasets on ecological and economic factors from the RAM Legacy and the Sea Around Us databases. This article describes the data collection process and the coded variables in detail. Elsevier 2020-12-25 /pmc/articles/PMC7773567/ /pubmed/33392369 http://dx.doi.org/10.1016/j.dib.2020.106682 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Dellmuth, Lisa M.
Petersson, Matilda T.
Dunn, Daniel C.
Boustany, André
Halpin, Patrick N.
Dataset on non-state actor participation in regional fisheries management organizations
title Dataset on non-state actor participation in regional fisheries management organizations
title_full Dataset on non-state actor participation in regional fisheries management organizations
title_fullStr Dataset on non-state actor participation in regional fisheries management organizations
title_full_unstemmed Dataset on non-state actor participation in regional fisheries management organizations
title_short Dataset on non-state actor participation in regional fisheries management organizations
title_sort dataset on non-state actor participation in regional fisheries management organizations
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7773567/
https://www.ncbi.nlm.nih.gov/pubmed/33392369
http://dx.doi.org/10.1016/j.dib.2020.106682
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