Geostatistical exploration of dataset assessing the heavy metal contamination in Ewekoro limestone, Southwestern Nigeria
| Autor: | Hilary Izuchukwu Okagbue, Ahzegbobor Philips Aizebeokhai, Kehinde David Oyeyemi, Ahzegbobor Aizebeokhai |
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| Rok vydání: | 2017 |
| Předmět: |
0301 basic medicine
Metal contamination Kendall tau rank correlation coefficient Kendall tau chemistry.chemical_element lcsh:Computer applications to medicine. Medical informatics Spearman's rank correlation coefficient law.invention 03 medical and health sciences 0302 clinical medicine Cluster analysis law Pearson correlation coefficient lcsh:Science (General) Arsenic Cadmium Multidisciplinary Ewekoro limestone MPAS Contamination Heavy-metal contamination Mercury (element) Spearman rho 030104 developmental biology chemistry Environmental chemistry lcsh:R858-859.7 Earth and Planetary Science Atomic absorption spectroscopy 030217 neurology & neurosurgery lcsh:Q1-390 |
| Zdroj: | Data in Brief Data in Brief, Vol 14, Iss C, Pp 110-117 (2017) |
| ISSN: | 2352-3409 |
| Popis: | The dataset for this article contains geostatistical analysis of heavy metals contamination from limestone samples collected from Ewekoro Formation in the eastern Dahomey basin, Ogun State Nigeria. The samples were manually collected and analysed using Microwave Plasma Atomic Absorption Spectrometer (MPAS). Analysis of the twenty different samples showed different levels of heavy metals concentration. The analysed nine elements are Arsenic, Mercury, Cadmium, Cobalt, Chromium, Nickel, Lead, Vanadium and Zinc. Descriptive statistics was used to explore the heavy metal concentrations individually. Pearson, Kendall tau and Spearman rho correlation coefficients was used to establish the relationships among the elements and the analysis of variance showed that there is a significant difference in the mean distribution of the heavy metals concentration within and between the groups of the 20 samples analysed. The dataset can provide insights into the health implications of the contaminants especially when the mean concentration levels of the heavy metals are compared with recommended regulatory limit concentration. |
| Databáze: | OpenAIRE |
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