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Data matrix of site-specific environmental variables: Phytomanagement of a contaminated brownfield site
This article offers statistical analyses of trace elements (TEs) in soils and plants through a Pearson correlation matrix. The main objectives were the assessment of soil TEs sources and the evaluation of native plant response to physical and chemical characteristics of a TEs contaminated soil. Data...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545384/ https://www.ncbi.nlm.nih.gov/pubmed/31193959 http://dx.doi.org/10.1016/j.dib.2019.103957 |
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author | Guarino, Carmine Zuzolo, Daniela Marziano, Mario Cicchella, Domenico Sciarrillo, Rosaria |
author_facet | Guarino, Carmine Zuzolo, Daniela Marziano, Mario Cicchella, Domenico Sciarrillo, Rosaria |
author_sort | Guarino, Carmine |
collection | PubMed |
description | This article offers statistical analyses of trace elements (TEs) in soils and plants through a Pearson correlation matrix. The main objectives were the assessment of soil TEs sources and the evaluation of native plant response to physical and chemical characteristics of a TEs contaminated soil. Data were collected from Bagnoli brownfield site (Southern Italy). Interpretation of the data, can be found in “Identification of native-metal tolerant plant species in-situ: environmental implications and functional traits” [1]. The correlations in the matrix are based on over 76 samples and 31 site-specific environmental variables. |
format | Online Article Text |
id | pubmed-6545384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-65453842019-06-06 Data matrix of site-specific environmental variables: Phytomanagement of a contaminated brownfield site Guarino, Carmine Zuzolo, Daniela Marziano, Mario Cicchella, Domenico Sciarrillo, Rosaria Data Brief Environmental Science This article offers statistical analyses of trace elements (TEs) in soils and plants through a Pearson correlation matrix. The main objectives were the assessment of soil TEs sources and the evaluation of native plant response to physical and chemical characteristics of a TEs contaminated soil. Data were collected from Bagnoli brownfield site (Southern Italy). Interpretation of the data, can be found in “Identification of native-metal tolerant plant species in-situ: environmental implications and functional traits” [1]. The correlations in the matrix are based on over 76 samples and 31 site-specific environmental variables. Elsevier 2019-05-02 /pmc/articles/PMC6545384/ /pubmed/31193959 http://dx.doi.org/10.1016/j.dib.2019.103957 Text en © 2019 The Author 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 | Environmental Science Guarino, Carmine Zuzolo, Daniela Marziano, Mario Cicchella, Domenico Sciarrillo, Rosaria Data matrix of site-specific environmental variables: Phytomanagement of a contaminated brownfield site |
title | Data matrix of site-specific environmental variables: Phytomanagement of a contaminated brownfield site |
title_full | Data matrix of site-specific environmental variables: Phytomanagement of a contaminated brownfield site |
title_fullStr | Data matrix of site-specific environmental variables: Phytomanagement of a contaminated brownfield site |
title_full_unstemmed | Data matrix of site-specific environmental variables: Phytomanagement of a contaminated brownfield site |
title_short | Data matrix of site-specific environmental variables: Phytomanagement of a contaminated brownfield site |
title_sort | data matrix of site-specific environmental variables: phytomanagement of a contaminated brownfield site |
topic | Environmental Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545384/ https://www.ncbi.nlm.nih.gov/pubmed/31193959 http://dx.doi.org/10.1016/j.dib.2019.103957 |
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