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      Biodiversity data rescue in the framework of a long-term Kenya-Belgium cooperation in marine sciences

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          Abstract

          The Kenya-Belgium data collection includes about 111,800 biotic observations on benthos, algae, fish, zooplankton, phytoplankton, birds and mangroves which cover more than 400 unique locations that were sampled between 1873 and 1999. The scope of this data digitization project was to recover data in theses and reports resulting from marine and coastal research activities in the Eastern African region conducted between 1984 and 1999. Data were digitized and quality checked in the frame of the Belgian LifeWatch project. The dataset provides a better insight into the different types of research conducted between 1985 and 1996 in frame of the Kenya-Belgium cooperation in marine sciences (KBP) project and can facilitate further coastal biodiversity research in Kenya.

          Abstract

          Design Type(s) data integration objective • species comparison design • data normalization objective
          Measurement Type(s) Scientific Publication
          Technology Type(s) digital curation
          Factor Type(s) temporal_interval • Species • geographic location
          Sample Characteristic(s) Actinopterygii • Kenya • ocean biome • Acantharia • Asteroidea • Anthozoa • Chromadorea • Florideophyceae • Arachnida • Hexanauplia • Malacostraca • Ulvophyceae • Bacillariophyceae • Holothuroidea • Enoplea • Aves • Dinophyceae • Polychaeta • Leptocardii • Ophiuroidea • Cyanophyceae • Bivalvia • Appendicularia • Gastropoda • Ascidiacea • Echinoidea • Magnoliopsida • Rhabditophora • Cephalopoda • Branchiopoda • Insecta • Collembola • Crinoidea • Phaeophyceae • Thaliacea • Clitellata • Hydrozoa • Kinorhyncha • Larvacea • Loricifera • Scyphozoa • Ostracoda • Pycnogonida • Chlorophyceae • Priapulida • Sagittoidea • Dictyochophyceae • Phyllopharyngea • Spirotrichea • Turbellaria

          Machine-accessible metadata file describing the reported data (ISA-Tab format)

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          Most cited references3

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          Global Coordination and Standardisation in Marine Biodiversity through the World Register of Marine Species (WoRMS) and Related Databases

          The World Register of Marine Species is an over 90% complete open-access inventory of all marine species names. Here we illustrate the scale of the problems with species names, synonyms, and their classification, and describe how WoRMS publishes online quality assured information on marine species. Within WoRMS, over 100 global, 12 regional and 4 thematic species databases are integrated with a common taxonomy. Over 240 editors from 133 institutions and 31 countries manage the content. To avoid duplication of effort, content is exchanged with 10 external databases. At present WoRMS contains 460,000 taxonomic names (from Kingdom to subspecies), 368,000 species level combinations of which 215,000 are currently accepted marine species names, and 26,000 related but non-marine species. Associated information includes 150,000 literature sources, 20,000 images, and locations of 44,000 specimens. Usage has grown linearly since its launch in 2007, with about 600,000 unique visitors to the website in 2011, and at least 90 organisations from 12 countries using WoRMS for their data management. By providing easy access to expert-validated content, WoRMS improves quality control in the use of species names, with consequent benefits to taxonomy, ecology, conservation and marine biodiversity research and management. The service manages information on species names that would otherwise be overly costly for individuals, and thus minimises errors in the application of nomenclature standards. WoRMS' content is expanding to include host-parasite relationships, additional literature sources, locations of specimens, images, distribution range, ecological, and biological data. Species are being categorised as introduced (alien, invasive), of conservation importance, and on other attributes. These developments have a multiplier effect on its potential as a resource for biodiversity research and management. As a consequence of WoRMS, we are witnessing improved communication within the scientific community, and anticipate increased taxonomic efficiency and quality control in marine biodiversity research and management.
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            Marine Regions: Towards a Global Standard for Georeferenced Marine Names and Boundaries

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              Historical Kenyan-Belgian research datasets (1873-1999)

              Belgium and Kenya have a long tradition of collaboration in marine sciences. In 2012 the Kenya Marine and Fisheries Institute (KMFRI) and the Flanders Marine Institute (VLIZ) renewed this collaboration with a Memorandum of Understanding (MoU). A first step already started under the umbrella of LifeWatch with the recovery of biotic datasets resulting from joint Belgian-Kenyan marine research activities. This data collection combines all biotic data recovered from theses and reports resulting in the Eastern African region conducted between 1873 and 1999.
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                Author and article information

                Contributors
                carolien.knockaert@vliz.be
                lennert.tyberghein@vliz.be
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                12 June 2019
                12 June 2019
                2019
                : 6
                : 85
                Affiliations
                [1 ]ISNI 0000 0001 2230 9672, GRID grid.426539.f, Flanders Marine Institute, Wandelaarkaai 7, ; 8400 Oostende, Belgium
                [2 ]ISNI 0000 0001 2322 9535, GRID grid.435726.1, Kenya Marine and Fisheries Research Institute Mombasa Centre, ; P.O. Box 81651, 80100 Mombasa, Kenya
                Article
                92
                10.1038/s41597-019-0092-8
                6561920
                31189883
                a69419a4-477d-4b76-9b3d-852fcb1e7f65
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.

                History
                : 19 February 2019
                : 3 May 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/501100003130, Fonds Wetenschappelijk Onderzoek (Research Foundation Flanders);
                Award ID: I000819N
                Award ID: I000819N
                Award ID: I000819N
                Award ID: I000819N
                Award Recipient :
                Categories
                Data Descriptor
                Custom metadata
                © The Author(s) 2019

                marine biology,biodiversity
                marine biology, biodiversity

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