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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)
被引:0
|作者:
Pizzini, Sarah
[1
,3
]
Giuliani, Silvia
[2
]
Polonia, Alina
[2
]
Piazza, Rossano
[1
]
Bellucci, Luca Giorgio
[1
,2
]
Orlando, Beatrice
[1
]
Gambaro, Andrea
Gasperini, Luca
[2
]
机构:
[1] Univ Venice, DAIS Ca Foscari, Via Torino 155, I-30172 Venice, Italy
[2] ISMAR CNR, Via Gobetti 101, I-40129 Bologna, Italy
[3] IRBIM CNR, Largo Fiera Pesca 2, I-60125 Ancona, Italy
来源:
关键词:
Lake of Cavazzo;
Polycyclic Aromatic Hydrocarbons (PAHs);
PolyChlorinated Biphenyls (PCBs);
PolyBrominated Diphenyl Ethers (PBDEs);
OrganoChlorine Pesticides (OCPs);
Sediments;
Dataset;
D O I:
10.1016/j.dib.2022.108633
中图分类号:
O [数理科学和化学];
P [天文学、地球科学];
Q [生物科学];
N [自然科学总论];
学科分类号:
07 ;
0710 ;
09 ;
摘要:
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 environ-mental stressors (natural and anthropogenic) in sediments of the Lake of Cavazzo, a basin of glacial origin located in a seis-mically active region of the Italian Eastern Alps. Information relative to sampling strategy and operations, location of sam-pling sites, sedimentary chronological benchmarks, and pro-files 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' con-geners (including the non-Aroclor CB-11), 14 polybrominated diphenyl ethers' congeners, and 22 organochlorine pesticides, whose concentrations were determined by Gas Chromatog-raphy coupled both to Low-Resolution and High-Resolution Mass Spectrometry. Interpretation of this dataset is fully dis-cussed in the companion article by Pizzini et al. (2022) and relys on the multi-proxy analysis of sediment samples pre-sented in Polonia et al. (2021) that highlighted lake stratigra-phy and major changes occurring at a decadal scale since the 1950s.(c) 2022 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY-NC-ND license ( http://creativecommons.org/licenses/by-nc-nd/4.0/ )
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