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Dataset from 55 experts engaged in nature conservation in Mozambique

dc.contributor.authorMbanze, Aires Afonso
dc.contributor.authorRibeiro, Natasha Sofia
dc.contributor.authorVieira da Silva, Carina
dc.contributor.authorSantos, José Lima
dc.contributor.institutionNOVA School of Business and Economics (NOVA SBE)
dc.contributor.pblElsevier BV
dc.date.accessioned2020-01-22T23:39:18Z
dc.date.available2020-01-22T23:39:18Z
dc.date.issued2020-02-01
dc.description
dc.description.abstractThe data of this article is related to the original article entitled “An expert-based approach to assess the potential for local people engagement in nature conservation: The case study of the Niassa National Reserve in Mozambique” [1], published in Journal for Nature Conservation. The dataset is from an online and self-administrated survey with 55 experts aware of conservation policies and incentives under implementation in the Niassa National Reserve (NNR), the largest protected area in the country and third-largest in Africa. The survey included four sections of both compulsory and non-compulsory questions, mostly in closed-ended Likert-scale. In the first section, experts were asked about the main practices that threaten biodiversity conservation in the NNR, the actors who are directly and indirectly responsible for each practice, and the reasons for local people's involvement with those practices. The second section was about the effectiveness and limitations of the current compensation measures to engage local residents with conservation-friendly practices. In the third section, respondents were asked to select new measures to enhance the current conservation status and engage local people more effectively in conservation. The last section was about the socio-economic profile of respondents. The survey was conducted from June to September 2017. The paper includes the survey itself, raw data in an Excel spreadsheet, descriptive analysis, crosstabulation and Post Hoc cellwise tests (goodness of fit). Data are provided for public use and can serve as a benchmark for collaboration in order to conduct more comprehensive research, comparative analysis as well as panel data can be derived. This data can also have applications in other fields such as mathematics, statistics, and computation.en
dc.description.versionpublishersversion
dc.description.versionpublished
dc.format.extent43548
dc.identifier.doi10.1016/j.dib.2019.105080
dc.identifier.issn2352-3409
dc.identifier.otherPURE: 16429869
dc.identifier.otherPURE UUID: f4fa2642-9432-434f-b768-5e6bed40c5e0
dc.identifier.otherScopus: 85077731159
dc.identifier.otherORCID: /0000-0002-9580-3011/work/73844557
dc.identifier.otherWOS: 000520402100259
dc.identifier.urihttp://hdl.handle.net/10362/91640
dc.identifier.urlhttps://www.scopus.com/pages/publications/85077731159
dc.language.isoeng
dc.peerreviewedyes
dc.relationFunding agencies
dc.relationWorld Wildlife Fund (WWF)/Russell E. Training Education for Nature
dc.relationProgram Fund in Washington, DC
dc.relationgrant contract
dc.relationRF37
dc.relationFCT-Fundação para Ciência e Tecnologia
dc.relationgrant nr SFRH/BD/113955/2015
dc.subjectConservation experts
dc.subjectDeveloping countries
dc.subjectPerceived views and Niassa National Reserve
dc.subjectGeneral
dc.titleDataset from 55 experts engaged in nature conservation in Mozambiqueen
dc.typejournal article
degois.publication.titleData in brief
degois.publication.volume28
dspace.entity.typePublication
rcaap.rightsopenAccess

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