b8db8239-3bde-454a-aa75-d1cec24c8763 English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:23:23 UK GEMINI 2.3 WGS 84 Sedimentological data from the Limpopo River Basin dams, southern Africa, 2018-2021 2023-04-26 publication 2022-08-02 creation https://catalogue.ceh.ac.uk/id/b8db8239-3bde-454a-aa75-d1cec24c8763 10.5285/b8db8239-3bde-454a-aa75-d1cec24c8763 doi: Franchi, F., Chirindja, F.J., Pasqualotto, F., Hussey, S., Comte, J. (2023). Sedimentological data from the Limpopo River Basin dams, southern Africa, 2018-2021. NERC EDS Environmental Information Data Centre 10.5285/b8db8239-3bde-454a-aa75-d1cec24c8763 The data set contains grain size distributions, organic matter (OM) content and trace metal distribution (including Fe, Zn, Cu, Cr and Pb) of 37 shallow cores of sediments sampled from dams across the Limpopo River Basin. The dams include: Gaborone, Lotsane and Shashe dams in Botswana; Houtrivier, Nwanedi and Mutshedzi dams in South Africa; Ripple Creek and Zhovhe dams in Zimbabwe; and Massingir Dam in Mozambique. Data from two cores sampled from an oxbow lake in Mozambique are also included. The cores were collected with a gravity corer using PVC pipes of 5 cm diameter by a team from Botswana International University of Science and Technology (BIUST) led by Dr. Franchi between July 2018 and April 2021. Full details about this dataset can be found at https://doi.org/10.5285/b8db8239-3bde-454a-aa75-d1cec24c8763 Franchi, F. Botswana International University of Science and Technology franchif@biust.ac.bw https://orcid.org/0000-0003-0313-5624 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Chirindja, F.J. Eduardo Mondlane University farissej@gmail.com author Pasqualotto, F. University of Insubria fpasqualotto@studenti.uninsubria.it author Hussey, S. Dabane Trust s.w.hussey@dabane.org author Comte, J. University of Aberdeen jc.comte@abdn.ac.uk https://orcid.org/0000-0002-5129-8391 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information author Comte, J. University of Aberdeen jc.comte@abdn.ac.uk https://orcid.org/0000-0002-5129-8391 ORCID record ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers. information pointOfContact NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher University of Aberdeen EMAIL NOT PROVIDED owner sediment limnology fluvial resource grain dam GEMET - Concepts, version 4.1.3 2019-01-28 creation Gaborone dam Shashe dam Botswana South Africa Massingir dam Zimbabwe Mozambique GeoNames 2006-01-01 creation Lotsane dam Mutshedzi dam Houtrivier dam Nwanedi dam Zhovhe dam Ripple Creek dam sediments geochemistry grain size otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions If you reuse this data, you should cite: Franchi, F., Chirindja, F.J., Pasqualotto, F., Hussey, S., Comte, J. (2023). Sedimentological data from the Limpopo River Basin dams, southern Africa, 2018-2021. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/b8db8239-3bde-454a-aa75-d1cec24c8763 grid 1 English utf8 inlandWaters 2018-07-01 2021-04-30 22.236 36.475 -32.547 -14.945 Comma-separated values (CSV) NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/b8db8239-3bde-454a-aa75-d1cec24c8763 Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/b8db8239-3bde-454a-aa75-d1cec24c8763.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 Grain size analysis was carried on wet samples dispersed in water and analysed with a Malvern Mastersizer 3000 laser diffraction particle size analyser at Botswana International University of Science and Technology (BIUST), Palapye (Botswana).b A few grams of the samples were dispersed into a glass container with half a spoon of sodium hexametaphosphate to prevent clays from flocculation. The data are reported as 10th percentile (Dx10), median (Dx50) and 90th percentile (Dx90). The organic matter content was determined using Loss on Ignition (LOI) method whereby the samples were dried at 60 C for 24 hours to remove water content. The dried samples were placed in the funnel furnace at 550 C for 2 hours and then weighed again to determine LOI. Data are reported as percentage of mass loss during the ignition phase as compared with the initial mass of dried sample. The sediments have been analysed for trace metal distribution using ICP-OES and ICP-MS on samples of sediments partially digested with aqua regia. All data are raw and unprocessed.