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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...

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Autores principales: Pizzini, Sarah, Giuliani, Silvia, Polonia, Alina, Piazza, Rossano, Bellucci, Luca Giorgio, Orlando, Beatrice, Gambaro, Andrea, Gasperini, Luca
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
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.
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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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