Staff Publications

Staff Publications

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    'Staff publications' is the digital repository of Wageningen University & Research

    'Staff publications' contains references to publications authored by Wageningen University staff from 1976 onward.

    Publications authored by the staff of the Research Institutes are available from 1995 onwards.

    Full text documents are added when available. The database is updated daily and currently holds about 240,000 items, of which 72,000 in open access.

    We have a manual that explains all the features 

Record number 562491
Title Supporting biodiversity studies with the EUBrazilOpenBio Hybrid Data Infrastructure
Author(s) Amaral, Rafael; Badia, Rosa M.; Blanquer, Ignacio; Braga-Neto, Ricardo; Candela, Leonardo; Castelli, Donatella; Flann, Christina; Giovanni, Renato De; Gray, William A.; Jones, Andrew; Lezzi, Daniele; Pagano, Pasquale; Perez-Canhos, Vanderlei; Quevedo, Francisco; Rafanell, Roger; Rebello, Vinod; Sousa-Baena, Mariane S.; Torres, Erik
Source Concurrency Computation 27 (2015)2. - ISSN 1532-0626 - p. 376 - 394.
DOI https://doi.org/10.1002/cpe.3238
Department(s) Biosystematiek-Herbarium
Publication type Refereed Article in a scientific journal
Publication year 2015
Keyword(s) biodiversity - cloud - data infrastructure - ecological niche modelling - taxonomy - virtual research environments
Abstract

SummaryEUBrazilOpenBio is a collaborative initiative addressing strategic barriers in biodiversity research by integrating open access data and user-friendly tools widely available in Brazil and Europe. The project deploys the EU-Brazil Hybrid Data Infrastructure that allows the sharing of hardware, software and data on-demand. This infrastructure provides access to several integrated services and resources to seamlessly aggregate taxonomic, biodiversity and climate data, used by processing services implementing checklist cross-mapping and ecological niche modelling. A Virtual Research Environment was created to provide users with a single entry point to processing and data resources. This article describes the architecture, demonstration use cases and some experimental results and validation.

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