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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....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2020
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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. |
format | Online Article Text |
id | pubmed-7773567 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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