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High-resolution X–ray diffraction datasets: Carbonates

X–ray diffraction (XRD) analysis is a versatile and reliable method used in the identification of minerals in solid samples. It is one of the primary techniques geoscientists, mineralogist, solid-state chemists depend on to characterize the composition of unknown samples. In recent years there has b...

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Autores principales: Amao, Abduljamiu O., Al-Otaibi, Bandar, Al-Ramadan, Khalid
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092893/
https://www.ncbi.nlm.nih.gov/pubmed/35572794
http://dx.doi.org/10.1016/j.dib.2022.108204
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author Amao, Abduljamiu O.
Al-Otaibi, Bandar
Al-Ramadan, Khalid
author_facet Amao, Abduljamiu O.
Al-Otaibi, Bandar
Al-Ramadan, Khalid
author_sort Amao, Abduljamiu O.
collection PubMed
description X–ray diffraction (XRD) analysis is a versatile and reliable method used in the identification of minerals in solid samples. It is one of the primary techniques geoscientists, mineralogist, solid-state chemists depend on to characterize the composition of unknown samples. In recent years there has been a growing interest among researchers to have readily accessible and large dataset to use to calibrate their experiment or to simply build various statistical models. Sadly, this is difficult to come by. Most well-curated datasets are propriety in nature and often too expensive for the average researcher. Additionally, when these datasets are available, they might not be suitable for purpose due to lack of proper coverage for certain a mineral of interest. For these reasons, we have carefully selected and curated samples rich in calcium carbonate that will be useful for various applications. Our dataset includes 1680 X-ray diffraction scans of samples collected from carbonate rich rock formations outcrops in Spain, Italy, and Saudi Arabia. They represent materials with total carbonate concentration range between 30-99%. The spectra were acquired on a Malvern PANalytical EMPYREAN Diffractometer system at two theta range 2- 70 and 0.01 step size. This dataset will be valuable to geoscientists, mineralogist, solid-state chemists, data scientists alike looking to design experiments, build mineralogical reference databases or statistical models with sufficient data points. We currently use the dataset in our own projects to develop comprehensive carbonate library and felt compelled to share.
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spelling pubmed-90928932022-05-12 High-resolution X–ray diffraction datasets: Carbonates Amao, Abduljamiu O. Al-Otaibi, Bandar Al-Ramadan, Khalid Data Brief Data Article X–ray diffraction (XRD) analysis is a versatile and reliable method used in the identification of minerals in solid samples. It is one of the primary techniques geoscientists, mineralogist, solid-state chemists depend on to characterize the composition of unknown samples. In recent years there has been a growing interest among researchers to have readily accessible and large dataset to use to calibrate their experiment or to simply build various statistical models. Sadly, this is difficult to come by. Most well-curated datasets are propriety in nature and often too expensive for the average researcher. Additionally, when these datasets are available, they might not be suitable for purpose due to lack of proper coverage for certain a mineral of interest. For these reasons, we have carefully selected and curated samples rich in calcium carbonate that will be useful for various applications. Our dataset includes 1680 X-ray diffraction scans of samples collected from carbonate rich rock formations outcrops in Spain, Italy, and Saudi Arabia. They represent materials with total carbonate concentration range between 30-99%. The spectra were acquired on a Malvern PANalytical EMPYREAN Diffractometer system at two theta range 2- 70 and 0.01 step size. This dataset will be valuable to geoscientists, mineralogist, solid-state chemists, data scientists alike looking to design experiments, build mineralogical reference databases or statistical models with sufficient data points. We currently use the dataset in our own projects to develop comprehensive carbonate library and felt compelled to share. Elsevier 2022-04-22 /pmc/articles/PMC9092893/ /pubmed/35572794 http://dx.doi.org/10.1016/j.dib.2022.108204 Text en © 2022 The Author(s). Published by Elsevier Inc. https://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
Amao, Abduljamiu O.
Al-Otaibi, Bandar
Al-Ramadan, Khalid
High-resolution X–ray diffraction datasets: Carbonates
title High-resolution X–ray diffraction datasets: Carbonates
title_full High-resolution X–ray diffraction datasets: Carbonates
title_fullStr High-resolution X–ray diffraction datasets: Carbonates
title_full_unstemmed High-resolution X–ray diffraction datasets: Carbonates
title_short High-resolution X–ray diffraction datasets: Carbonates
title_sort high-resolution x–ray diffraction datasets: carbonates
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9092893/
https://www.ncbi.nlm.nih.gov/pubmed/35572794
http://dx.doi.org/10.1016/j.dib.2022.108204
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