Survey data of public awareness on climate change and the value of marine and coastal ecosystems

Fonseca, Catarina; Wood, Louisa E.; Andriamahefazafy, Mialy; Casal, Gema; Chaigneau, Tomas; Cornet, Cindy; Degia, A. Karima; Failler, Pierre; Ferraro, Gianluca; Furlan, Elisa; Hawkins, Julie A.; Juan, Sílvia de; Krause, Torsten; McCarthy, Tim; Pérez, Géraldine; Roberts, Callum M.; Trégarot, Ewan; O‘Leary, Bethan Christine

doi:10.1016/j.dib.2023.108924

“…The mindsponge theory will be used for conceptual development, and Bayesian Mindsponge Framework (BMF) analytics will be used for statistical analysis on a dataset of 709 people from 42 countries [1][2][3]. The bayesvl R package, aided by the Markov chain Monte Carlo (MCMC) algorithm, will be employed for statistical analyses [4][5][6][7].…”

Section: Methodsmentioning

confidence: 99%

BMF CP32: Predictors of people’s support for ocean protection

Quang-Loc¹

2023

Preprint

0

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The analysis shows the perceived importance of marine and coastal systems for human well-being and climate change reduction is positively associated with people’s support for ocean protection. People from upper-middle-income and high-income are more likely to support ocean protection than those from lower-middle-income and low-income countries. Other socio-demographic factors also predict people’s support for ocean protection (see Figure 1).

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“…The mindsponge theory will be used for conceptual development, and Bayesian Mindsponge Framework (BMF) analytics will be used for statistical analysis on a dataset of 709 people from 42 countries [1][2][3]. The bayesvl R package, aided by the Markov chain Monte Carlo (MCMC) algorithm, will be employed for statistical analyses [4][5][6][7].…”

Section: Methodsmentioning

confidence: 99%

BMF CP33: Responsibility perceptions toward climate change and perceived uncertainty of scientific evidence

Team¹

2023

Preprint

0

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“…The mindsponge theory will be used for conceptual development, and Bayesian Mindsponge Framework (BMF) analytics will be used for statistical analysis on a dataset of 709 people from 42 countries [1][2][3]. The bayesvl R package, aided by the Markov chain Monte Carlo (MCMC) algorithm, will be employed for statistical analyses [4][5][6].…”

Section: Methodsmentioning

confidence: 99%