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Title: | Spatial distribution of organic and inorganic contaminants in Ria de Aveiro Lagoon: A fundamental baseline dataset | Authors: | Cachada, Anabela Pato, Pedro Ferreira da Silva, Eduardo Patinha, Carla Carreira, Renato S. Pardal, Miguel Duarte, Armando C. |
Keywords: | Sediments; Monitoring; PAHs; PCBs; Potentially toxic elements | Issue Date: | Aug-2019 | Publisher: | Elsevier | Project: | UID/Multi/04423/2019 UID/AMB/50017 UID/GEO/04035 FCT / MEC and ERDF (PT2020 Partnership Agreement) - CEECIND/ 00058/2017 |
Serial title, monograph or event: | Data in Brief | Volume: | 25 | Abstract: | This paper presents baseline data of sediments characterization from Ria de Aveiro lagoon (Portugal). Twenty-two intertidal surface sediments were collected and analysed for their pseudo-total content of 25 major and trace elements and for their total content of PAHs (Sum16) and PCBs (Sum13). The fine fraction percentage and total organic carbon content were also determined. Ria de Aveiro Lagoon has been the target of several studies during the last decades, and it has been pointed out as a hot spot in terms of contamination García-Seoane et al., 2016. Nevertheless, data about sediments contamination is mostly focused on Hg Lillebø et al.,2011, and in a specific area of the lagoon Grilo et al., 2013, and there is not a clear and global picture about the spatial distribution of other elements, and especially of organic contaminants. Thus, this baseline dataset is of utmost importance for researchers and planners and it can be used to monitor the effect of disturbances, such as: dredging activities; hydrodynamic changes (either due to human activities or extreme events); external inputs (new discharges from industries and wastewater plants, etc). | URI: | https://hdl.handle.net/10316/106871 | ISSN: | 23523409 | DOI: | 10.1016/j.dib.2019.104285 | Rights: | openAccess |
Appears in Collections: | I&D CFE - Artigos em Revistas Internacionais |
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Spatial distribution of organic and inorganic contaminants in Ria de Aveiro Lagoon A fundamental baseline dataset.pdf | 1.99 MB | Adobe PDF | View/Open |
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