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      Unlocking the Entomological Collection of the Natural History Museum of Maputo, Mozambique

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          Abstract

          Background

          The collections of the Natural History Museum of Maputo have a crucial role in the safeguarding of Mozambique's biodiversity, representing an important repository of data and materials regarding the natural heritage of the country. In this paper, a dataset is described, based on the Museum’s Entomological Collection recording 409 species belonging to seven orders and 48 families. Each specimen’s available data, such as geographical coordinates and taxonomic information, have been digitised to build the dataset. The specimens included in the dataset were obtained between 1914–2018 by collectors and researchers from the Natural History Museum of Maputo (once known as “Museu Alváro de Castro”) in all the country’s provinces, with the exception of Cabo Delgado Province.

          New information

          This paper adds data to the Biodiversity Network of Mozambique and the Global Biodiversity Information Facility, within the objectives of the SECOSUD II Project and the Biodiversity Information for Development Programme. The aforementioned insect dataset is available on the GBIF Engine data portal ( https://doi.org/10.15468/j8ikhb). Data were also shared on the Mozambican national portal of biodiversity data BioNoMo ( https://bionomo.openscidata.org), developed by SECOSUD II Project.

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          Most cited references23

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          The point-radius method for georeferencing locality descriptions and calculating associated uncertainty

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            Digitization of museum collections holds the potential to enhance researcher diversity

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              Georeferencing best practices. Version 1.0.

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                Author and article information

                Contributors
                Journal
                Biodivers Data J
                Biodivers Data J
                1
                urn:lsid:arphahub.com:pub:F9B2E808-C883-5F47-B276-6D62129E4FF4
                urn:lsid:zoobank.org:pub:245B00E9-BFE5-4B4F-B76E-15C30BA74C02
                Biodiversity Data Journal
                Pensoft Publishers
                1314-2836
                1314-2828
                2021
                21 April 2021
                : 9
                : e64461
                Affiliations
                [1 ] Department of Biological Sciences, Universidade Eduardo Mondlane, Maputo, Mozambique Department of Biological Sciences, Universidade Eduardo Mondlane Maputo Mozambique
                [2 ] Department of Environmental Biology, Sapienza - University of Rome, Rome, Italy Department of Environmental Biology, Sapienza - University of Rome Rome Italy
                [3 ] Natural History Museum of Maputo, Maputo, Mozambique Natural History Museum of Maputo Maputo Mozambique
                Author notes
                Corresponding author: Domingos Sandramo ( dasandramo@ 123456gmail.com ).

                Academic editor: Shinichi Nakahara

                Author information
                https://orcid.org/0000-0002-0801-3303
                Article
                64461 15478
                10.3897/BDJ.9.e64461
                8081716
                33935558
                767f8bf8-ef4e-4699-897f-07515ff4931c
                Domingos Sandramo, Enrico Nicosia, Silvio Cianciullo, Bernardo Muatinte, Almeida Guissamulo

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 22 February 2021
                : 10 April 2021
                Page count
                Figures: 3, Tables: 0, References: 24
                Categories
                Data Paper (Biosciences)
                Animalia
                Biogeography
                Zoology & Animal Biology
                Systematics
                Biodiversity & Conservation
                Africa

                biodiversity,dataset,digitisation,entomology,insects,specimens
                biodiversity, dataset, digitisation, entomology, insects, specimens

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