Dataset of Morphometry and Metal Concentrations in Coptodon rendalli and Oreochromis mossambicus from the Shongweni Dam, South Africa

Smangele Ncayiyana, Neo Mashila Maleka and Jeffrey Lebepe ()
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Smangele Ncayiyana: School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4000, South Africa
Neo Mashila Maleka: Department of Human Nutrition and Dietetics, University of Limpopo, Sovenga 0727, South Africa
Jeffrey Lebepe: School of Life Sciences, University of KwaZulu-Natal, Westville Campus, Durban 4000, South Africa

Data, 2025, vol. 10, issue 8, 1-7

Abstract: The uMlazi River receives effluents from wastewater work before feeding the Shongweni Dam. However, local communities are consuming fish from this dam for protein supplements. This study was undertaken to investigate the metal concentrations in the water and sediment, the general health of Coptodon rendalli and Oreochromis mossambicus , and metal bioaccumulation. Sampling was conducted during the dry (July–August) and wet seasons (November and December) in 2021. Water was sampled using acid-pre-treated sampling bottles, whereas sediment was collected using the Van Veen grab at the inflow, middle, and dam wall. Fish were collected, and their tissues were digested using aqua regia. Metal concentrations were measured using inductively coupled plasma optical emission spectroscopy (ICP-OES). This data manuscript reports the physical parameters of the water and concentrations of antimony, arsenic, cadmium, copper, iron, manganese, lead, selenium, and strontium in the water and sediment from the Shongweni Dam. Moreover, the fish morphometric data and metal concentrations observed in the muscle are also presented. This data could be used as baseline information on metal concentrations in the Shongweni Dam. Moreover, it provides insight into the potential impact of wastewater effluents on metal increases in freshwater bodies.

Keywords: uMlazi River; water pollution; wastewater works; antimony; arsenic; chromium; lead (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2025
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