Definition of the data for comprehensiveness in scenario analysis of near-surface nuclear waste repositories

This article provides data on the near-surface repository for nuclear waste in the associated Research article “Comprehensiveness of scenarios in the safety assessment of nuclear waste repositories” [1].We illustrate i) the parameters of the COMSOL Multiphysics model for calculating the radiological...

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Detalles Bibliográficos
Autores principales: Tosoni, E., Salo, A., Govaerts, J., Zio, E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Engineering
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7300128/
https://www.ncbi.nlm.nih.gov/pubmed/32577443
http://dx.doi.org/10.1016/j.dib.2020.105780
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author Tosoni, E.
Salo, A.
Govaerts, J.
Zio, E.
author_facet Tosoni, E.
Salo, A.
Govaerts, J.
Zio, E.
author_sort Tosoni, E.
collection PubMed
description This article provides data on the near-surface repository for nuclear waste in the associated Research article “Comprehensiveness of scenarios in the safety assessment of nuclear waste repositories” [1].We illustrate i) the parameters of the COMSOL Multiphysics model for calculating the radiological impact of the repository, ii) the set of scenarios analyzed following a pluralistic approach, and iii) nodes, experts’ beliefs and prior probabilities for the scenario analysis based on Bayesian networks.
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spelling pubmed-73001282020-06-22 Definition of the data for comprehensiveness in scenario analysis of near-surface nuclear waste repositories Tosoni, E. Salo, A. Govaerts, J. Zio, E. Data Brief Engineering This article provides data on the near-surface repository for nuclear waste in the associated Research article “Comprehensiveness of scenarios in the safety assessment of nuclear waste repositories” [1].We illustrate i) the parameters of the COMSOL Multiphysics model for calculating the radiological impact of the repository, ii) the set of scenarios analyzed following a pluralistic approach, and iii) nodes, experts’ beliefs and prior probabilities for the scenario analysis based on Bayesian networks. Elsevier 2020-05-30 /pmc/articles/PMC7300128/ /pubmed/32577443 http://dx.doi.org/10.1016/j.dib.2020.105780 Text en © 2020 The Author(s) http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Engineering
Tosoni, E.
Salo, A.
Govaerts, J.
Zio, E.
Definition of the data for comprehensiveness in scenario analysis of near-surface nuclear waste repositories
title Definition of the data for comprehensiveness in scenario analysis of near-surface nuclear waste repositories
title_full Definition of the data for comprehensiveness in scenario analysis of near-surface nuclear waste repositories
title_fullStr Definition of the data for comprehensiveness in scenario analysis of near-surface nuclear waste repositories
title_full_unstemmed Definition of the data for comprehensiveness in scenario analysis of near-surface nuclear waste repositories
title_short Definition of the data for comprehensiveness in scenario analysis of near-surface nuclear waste repositories
title_sort definition of the data for comprehensiveness in scenario analysis of near-surface nuclear waste repositories
topic Engineering
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7300128/
https://www.ncbi.nlm.nih.gov/pubmed/32577443
http://dx.doi.org/10.1016/j.dib.2020.105780
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