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Dataset of analyzes performed to determine the level and timing of selected organic pollutants' inputs in sediments of the Lake of Cavazzo (Italy)
This data article presents the dataset collected for selected organic pollutants in the framework of a larger research project aimed at assessing the effects of different environmental stressors (natural and anthropogenic) in sediments of the Lake of Cavazzo, a basin of glacial origin located in a s...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679490/ https://www.ncbi.nlm.nih.gov/pubmed/36426007 http://dx.doi.org/10.1016/j.dib.2022.108633 |
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author | Pizzini, Sarah Giuliani, Silvia Polonia, Alina Piazza, Rossano Bellucci, Luca Giorgio Orlando, Beatrice Gambaro, Andrea Gasperini, Luca |
author_facet | Pizzini, Sarah Giuliani, Silvia Polonia, Alina Piazza, Rossano Bellucci, Luca Giorgio Orlando, Beatrice Gambaro, Andrea Gasperini, Luca |
author_sort | Pizzini, Sarah |
collection | PubMed |
description | This data article presents the dataset collected for selected organic pollutants in the framework of a larger research project aimed at assessing the effects of different environmental stressors (natural and anthropogenic) in sediments of the Lake of Cavazzo, a basin of glacial origin located in a seismically active region of the Italian Eastern Alps. Information relative to sampling strategy and operations, location of sampling sites, sedimentary chronological benchmarks, and profiles of RGB (Red-Green-Blue) color code determined from high resolution photos taken at cores CAV-04 and CAV-06 are reported, together with analytical data for 15 polycyclic aromatic hydrocarbons, 21 polychlorinated biphenyls’ congeners (including the non-Aroclor CB-11), 14 polybrominated diphenyl ethers’ congeners, and 22 organochlorine pesticides, whose concentrations were determined by Gas Chromatography coupled both to Low-Resolution and High-Resolution Mass Spectrometry. Interpretation of this dataset is fully discussed in the companion article by Pizzini et al. (2022) and relys on the multi-proxy analysis of sediment samples presented in Polonia et al. (2021) that highlighted lake stratigraphy and major changes occurring at a decadal scale since the 1950s. |
format | Online Article Text |
id | pubmed-9679490 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-96794902022-11-23 Dataset of analyzes performed to determine the level and timing of selected organic pollutants' inputs in sediments of the Lake of Cavazzo (Italy) Pizzini, Sarah Giuliani, Silvia Polonia, Alina Piazza, Rossano Bellucci, Luca Giorgio Orlando, Beatrice Gambaro, Andrea Gasperini, Luca Data Brief Data Article This data article presents the dataset collected for selected organic pollutants in the framework of a larger research project aimed at assessing the effects of different environmental stressors (natural and anthropogenic) in sediments of the Lake of Cavazzo, a basin of glacial origin located in a seismically active region of the Italian Eastern Alps. Information relative to sampling strategy and operations, location of sampling sites, sedimentary chronological benchmarks, and profiles of RGB (Red-Green-Blue) color code determined from high resolution photos taken at cores CAV-04 and CAV-06 are reported, together with analytical data for 15 polycyclic aromatic hydrocarbons, 21 polychlorinated biphenyls’ congeners (including the non-Aroclor CB-11), 14 polybrominated diphenyl ethers’ congeners, and 22 organochlorine pesticides, whose concentrations were determined by Gas Chromatography coupled both to Low-Resolution and High-Resolution Mass Spectrometry. Interpretation of this dataset is fully discussed in the companion article by Pizzini et al. (2022) and relys on the multi-proxy analysis of sediment samples presented in Polonia et al. (2021) that highlighted lake stratigraphy and major changes occurring at a decadal scale since the 1950s. Elsevier 2022-09-23 /pmc/articles/PMC9679490/ /pubmed/36426007 http://dx.doi.org/10.1016/j.dib.2022.108633 Text en © 2022 The Authors. 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 Pizzini, Sarah Giuliani, Silvia Polonia, Alina Piazza, Rossano Bellucci, Luca Giorgio Orlando, Beatrice Gambaro, Andrea Gasperini, Luca Dataset of analyzes performed to determine the level and timing of selected organic pollutants' inputs in sediments of the Lake of Cavazzo (Italy) |
title | Dataset of analyzes performed to determine the level and timing of selected organic pollutants' inputs in sediments of the Lake of Cavazzo (Italy) |
title_full | Dataset of analyzes performed to determine the level and timing of selected organic pollutants' inputs in sediments of the Lake of Cavazzo (Italy) |
title_fullStr | Dataset of analyzes performed to determine the level and timing of selected organic pollutants' inputs in sediments of the Lake of Cavazzo (Italy) |
title_full_unstemmed | Dataset of analyzes performed to determine the level and timing of selected organic pollutants' inputs in sediments of the Lake of Cavazzo (Italy) |
title_short | Dataset of analyzes performed to determine the level and timing of selected organic pollutants' inputs in sediments of the Lake of Cavazzo (Italy) |
title_sort | dataset of analyzes performed to determine the level and timing of selected organic pollutants' inputs in sediments of the lake of cavazzo (italy) |
topic | Data Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679490/ https://www.ncbi.nlm.nih.gov/pubmed/36426007 http://dx.doi.org/10.1016/j.dib.2022.108633 |
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