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Datasets of trace elements in shallow marine sediments along the Egyptian shore of the Mediterranean and Red Seas

A comprehensive dataset concerning the geochemical composition of unconsolidated shallow marine sediments collected along coastal areas of Northern Nile Delta and Egyptian sector of Red Seas is presented. The sediment samples were analyzed using instrumental neutron activation analysis (INAA) in Fra...

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Autores principales: Badawy, Wael M., Duliu, Octavian, El-Taher, Atef, Elsenbawy, Ahmed, Dmitriev, Andrey Yu., El-Gamal, Ayman, Arafa, Wafaa
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9079712/
https://www.ncbi.nlm.nih.gov/pubmed/35539025
http://dx.doi.org/10.1016/j.dib.2022.108217
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author Badawy, Wael M.
Duliu, Octavian
El-Taher, Atef
Elsenbawy, Ahmed
Dmitriev, Andrey Yu.
El-Gamal, Ayman
Arafa, Wafaa
author_facet Badawy, Wael M.
Duliu, Octavian
El-Taher, Atef
Elsenbawy, Ahmed
Dmitriev, Andrey Yu.
El-Gamal, Ayman
Arafa, Wafaa
author_sort Badawy, Wael M.
collection PubMed
description A comprehensive dataset concerning the geochemical composition of unconsolidated shallow marine sediments collected along coastal areas of Northern Nile Delta and Egyptian sector of Red Seas is presented. The sediment samples were analyzed using instrumental neutron activation analysis (INAA) in Frank Laboratory of Neutron Physics FLNP – Joint Institute for Nuclear Research JINR and inductively coupled plasma – mass spectrometer (ICP-MS) in Actlabs – Canada. Data thus collected supported the research published and published articles conducted to evaluate the geochemistry of shallow marine sediments covering mentioned areas [1], [2], [3]. The mass fractions of 43 and 39 trace elements and oxides were determined in the unconsolidated marine sediments of Northern Nile Delta and Egyptian sector of Red Sea, respectively. Final data were expressed in wt.% and mg/kg for major and trace elements, respectively. Different statistical tests such as Shapiro-Wilk, Anderson-Darling, Lilliefors and Jarque–Bera were used to check the normality of data. At the same time, distribution patterns of the rare earth elements (lanthanides) as well as Eu and Ce anomalies were investigated. Quality control of analytical measurements was carried out using certified reference materials. Different univariate and multivariate as well as graphic statistical analyses were performed. Presented data were used in identifying, by means of more pollution indices, the degree of local contamination. The present dataset could be further used in establishing geochemical background for the studied areas and tracking eventually changes posing significant threat to environment and humans.
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spelling pubmed-90797122022-05-09 Datasets of trace elements in shallow marine sediments along the Egyptian shore of the Mediterranean and Red Seas Badawy, Wael M. Duliu, Octavian El-Taher, Atef Elsenbawy, Ahmed Dmitriev, Andrey Yu. El-Gamal, Ayman Arafa, Wafaa Data Brief Data Article A comprehensive dataset concerning the geochemical composition of unconsolidated shallow marine sediments collected along coastal areas of Northern Nile Delta and Egyptian sector of Red Seas is presented. The sediment samples were analyzed using instrumental neutron activation analysis (INAA) in Frank Laboratory of Neutron Physics FLNP – Joint Institute for Nuclear Research JINR and inductively coupled plasma – mass spectrometer (ICP-MS) in Actlabs – Canada. Data thus collected supported the research published and published articles conducted to evaluate the geochemistry of shallow marine sediments covering mentioned areas [1], [2], [3]. The mass fractions of 43 and 39 trace elements and oxides were determined in the unconsolidated marine sediments of Northern Nile Delta and Egyptian sector of Red Sea, respectively. Final data were expressed in wt.% and mg/kg for major and trace elements, respectively. Different statistical tests such as Shapiro-Wilk, Anderson-Darling, Lilliefors and Jarque–Bera were used to check the normality of data. At the same time, distribution patterns of the rare earth elements (lanthanides) as well as Eu and Ce anomalies were investigated. Quality control of analytical measurements was carried out using certified reference materials. Different univariate and multivariate as well as graphic statistical analyses were performed. Presented data were used in identifying, by means of more pollution indices, the degree of local contamination. The present dataset could be further used in establishing geochemical background for the studied areas and tracking eventually changes posing significant threat to environment and humans. Elsevier 2022-04-28 /pmc/articles/PMC9079712/ /pubmed/35539025 http://dx.doi.org/10.1016/j.dib.2022.108217 Text en © 2022 The Author(s). Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Badawy, Wael M.
Duliu, Octavian
El-Taher, Atef
Elsenbawy, Ahmed
Dmitriev, Andrey Yu.
El-Gamal, Ayman
Arafa, Wafaa
Datasets of trace elements in shallow marine sediments along the Egyptian shore of the Mediterranean and Red Seas
title Datasets of trace elements in shallow marine sediments along the Egyptian shore of the Mediterranean and Red Seas
title_full Datasets of trace elements in shallow marine sediments along the Egyptian shore of the Mediterranean and Red Seas
title_fullStr Datasets of trace elements in shallow marine sediments along the Egyptian shore of the Mediterranean and Red Seas
title_full_unstemmed Datasets of trace elements in shallow marine sediments along the Egyptian shore of the Mediterranean and Red Seas
title_short Datasets of trace elements in shallow marine sediments along the Egyptian shore of the Mediterranean and Red Seas
title_sort datasets of trace elements in shallow marine sediments along the egyptian shore of the mediterranean and red seas
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9079712/
https://www.ncbi.nlm.nih.gov/pubmed/35539025
http://dx.doi.org/10.1016/j.dib.2022.108217
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