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Dataset of metals and metalloids in food crops and soils sampled across the mining region of Moquegua in Peru

In recent years, there has been an increase in interest in the accumulation of heavy metals and metal(loid)s (HMM) in areas where agriculture and mining exist side by side. As a contribution to this body of knowledge, we report the first dataset into HMM concentrations in food crops and agricultural...

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Autores principales: Bedoya-Perales, Noelia S., Escobedo-Pacheco, Elias, Maus, Diogo, Neimaier, Alisson, Pumi, Guilherme
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368736/
https://www.ncbi.nlm.nih.gov/pubmed/37491548
http://dx.doi.org/10.1038/s41597-023-02363-0
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author Bedoya-Perales, Noelia S.
Escobedo-Pacheco, Elias
Maus, Diogo
Neimaier, Alisson
Pumi, Guilherme
author_facet Bedoya-Perales, Noelia S.
Escobedo-Pacheco, Elias
Maus, Diogo
Neimaier, Alisson
Pumi, Guilherme
author_sort Bedoya-Perales, Noelia S.
collection PubMed
description In recent years, there has been an increase in interest in the accumulation of heavy metals and metal(loid)s (HMM) in areas where agriculture and mining exist side by side. As a contribution to this body of knowledge, we report the first dataset into HMM concentrations in food crops and agricultural soils in Moquegua, which is a typical mining region and contains one of Peru’s largest copper deposits. Thanks to its geographic diversity, samples were taken in different agroecological regions at altitudes between 9 and 3,934 m. For food crops, 31 elements were measured using inductively coupled plasma mass spectrometry and atomic absorption spectrometry. For soils, 23 elements were measured using inductively coupled plasma optical emission spectrometry. Thus, the dataset includes a total of 13,828 observations from 341 sampling sites. We hope that this dataset will facilitate a wide range of agricultural and food safety studies, as well as serving as a reference for monitoring changes in pollution over time or comparing HMM levels with other farmlands influenced by mining activities.
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spelling pubmed-103687362023-07-27 Dataset of metals and metalloids in food crops and soils sampled across the mining region of Moquegua in Peru Bedoya-Perales, Noelia S. Escobedo-Pacheco, Elias Maus, Diogo Neimaier, Alisson Pumi, Guilherme Sci Data Data Descriptor In recent years, there has been an increase in interest in the accumulation of heavy metals and metal(loid)s (HMM) in areas where agriculture and mining exist side by side. As a contribution to this body of knowledge, we report the first dataset into HMM concentrations in food crops and agricultural soils in Moquegua, which is a typical mining region and contains one of Peru’s largest copper deposits. Thanks to its geographic diversity, samples were taken in different agroecological regions at altitudes between 9 and 3,934 m. For food crops, 31 elements were measured using inductively coupled plasma mass spectrometry and atomic absorption spectrometry. For soils, 23 elements were measured using inductively coupled plasma optical emission spectrometry. Thus, the dataset includes a total of 13,828 observations from 341 sampling sites. We hope that this dataset will facilitate a wide range of agricultural and food safety studies, as well as serving as a reference for monitoring changes in pollution over time or comparing HMM levels with other farmlands influenced by mining activities. Nature Publishing Group UK 2023-07-25 /pmc/articles/PMC10368736/ /pubmed/37491548 http://dx.doi.org/10.1038/s41597-023-02363-0 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Data Descriptor
Bedoya-Perales, Noelia S.
Escobedo-Pacheco, Elias
Maus, Diogo
Neimaier, Alisson
Pumi, Guilherme
Dataset of metals and metalloids in food crops and soils sampled across the mining region of Moquegua in Peru
title Dataset of metals and metalloids in food crops and soils sampled across the mining region of Moquegua in Peru
title_full Dataset of metals and metalloids in food crops and soils sampled across the mining region of Moquegua in Peru
title_fullStr Dataset of metals and metalloids in food crops and soils sampled across the mining region of Moquegua in Peru
title_full_unstemmed Dataset of metals and metalloids in food crops and soils sampled across the mining region of Moquegua in Peru
title_short Dataset of metals and metalloids in food crops and soils sampled across the mining region of Moquegua in Peru
title_sort dataset of metals and metalloids in food crops and soils sampled across the mining region of moquegua in peru
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10368736/
https://www.ncbi.nlm.nih.gov/pubmed/37491548
http://dx.doi.org/10.1038/s41597-023-02363-0
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