Geostatistical analysis of trace elements PXRF dataset of near-surface semi-arid soils from Central Botswana

Geospatial dataset of trace elements including manganese (Mn), iron (Fe), titanium (Ti), rubidium (Rb), strontium (Sr), thorium (Th), Vanadium (V) and Zirconium (Zr) of near-surface soils in a Cu–Ni prospecting field at Airstrip North, Central Botswana were statistically analysed. Grid sampling meth...

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Autores principales: Eze, Peter N., Mosokomani, Valiant S., Udeigwe, Theophilus K., Oyedele, Opeoluwa F., Fagbamigbe, Adeniyi F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2016
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097954/
https://www.ncbi.nlm.nih.gov/pubmed/27844043
http://dx.doi.org/10.1016/j.dib.2016.10.010
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author Eze, Peter N.
Mosokomani, Valiant S.
Udeigwe, Theophilus K.
Oyedele, Opeoluwa F.
Fagbamigbe, Adeniyi F.
author_facet Eze, Peter N.
Mosokomani, Valiant S.
Udeigwe, Theophilus K.
Oyedele, Opeoluwa F.
Fagbamigbe, Adeniyi F.
author_sort Eze, Peter N.
collection PubMed
description Geospatial dataset of trace elements including manganese (Mn), iron (Fe), titanium (Ti), rubidium (Rb), strontium (Sr), thorium (Th), Vanadium (V) and Zirconium (Zr) of near-surface soils in a Cu–Ni prospecting field at Airstrip North, Central Botswana were statistically analysed. Grid sampling method was used in the field data collection. The relatively new portable X-ray fluorescence spectrometer (Delta Premium, 510890, USA) technology in a “soil” mode was used to measure the concentrations of trace elements in the soils. The data presented was obtained from the average reading of two soil samples collected from same point but passed through sieves. Sequel to DOI: 10.1016/j.dib.2016.08.026 (P.N. Eze, V.S. Mokosomani, T.K. Udeigwe, O.F. Oyedele, 2016) [1].
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spelling pubmed-50979542016-11-14 Geostatistical analysis of trace elements PXRF dataset of near-surface semi-arid soils from Central Botswana Eze, Peter N. Mosokomani, Valiant S. Udeigwe, Theophilus K. Oyedele, Opeoluwa F. Fagbamigbe, Adeniyi F. Data Brief Data Article Geospatial dataset of trace elements including manganese (Mn), iron (Fe), titanium (Ti), rubidium (Rb), strontium (Sr), thorium (Th), Vanadium (V) and Zirconium (Zr) of near-surface soils in a Cu–Ni prospecting field at Airstrip North, Central Botswana were statistically analysed. Grid sampling method was used in the field data collection. The relatively new portable X-ray fluorescence spectrometer (Delta Premium, 510890, USA) technology in a “soil” mode was used to measure the concentrations of trace elements in the soils. The data presented was obtained from the average reading of two soil samples collected from same point but passed through sieves. Sequel to DOI: 10.1016/j.dib.2016.08.026 (P.N. Eze, V.S. Mokosomani, T.K. Udeigwe, O.F. Oyedele, 2016) [1]. Elsevier 2016-10-24 /pmc/articles/PMC5097954/ /pubmed/27844043 http://dx.doi.org/10.1016/j.dib.2016.10.010 Text en © 2016 The Authors http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Eze, Peter N.
Mosokomani, Valiant S.
Udeigwe, Theophilus K.
Oyedele, Opeoluwa F.
Fagbamigbe, Adeniyi F.
Geostatistical analysis of trace elements PXRF dataset of near-surface semi-arid soils from Central Botswana
title Geostatistical analysis of trace elements PXRF dataset of near-surface semi-arid soils from Central Botswana
title_full Geostatistical analysis of trace elements PXRF dataset of near-surface semi-arid soils from Central Botswana
title_fullStr Geostatistical analysis of trace elements PXRF dataset of near-surface semi-arid soils from Central Botswana
title_full_unstemmed Geostatistical analysis of trace elements PXRF dataset of near-surface semi-arid soils from Central Botswana
title_short Geostatistical analysis of trace elements PXRF dataset of near-surface semi-arid soils from Central Botswana
title_sort geostatistical analysis of trace elements pxrf dataset of near-surface semi-arid soils from central botswana
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5097954/
https://www.ncbi.nlm.nih.gov/pubmed/27844043
http://dx.doi.org/10.1016/j.dib.2016.10.010
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