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Título: | Citclops: A next-generation sensor system for the monitoring of natural waters and a citizens' observatory for the assessment of ecosystems’ status |
Autor: | Ceccaroni, Luigi; Piera, Jaume CSIC ORCID ; Wernand, Marcel; Zielinski, Oliver; Busch, Julia A.; Woerd, Hendrik J. van der; Bardají, Raúl CSIC ORCID CVN ; Friedrichs, Anna; Novoa, Stéfani; Thijsse, Peter; Velickovski, Filip; Blaas, Meinte; Dubsky, Karin | Fecha de publicación: | mar-2020 | Editor: | Public Library of Science | Citación: | PLoS ONE 15(3): e0230084 (2020) | Resumen: | The European-Commission—funded project ‘Citclops’ (Citizens’ observatory for coast and ocean optical monitoring) developed methods, tools and sensors, which can be used by citizens to monitor natural waters, with a strong focus on long-term data series related to environmental sciences. The new sensors, based on optical technologies, respond to a number of scientific, technical and societal objectives, ranging from more precise monitoring of key environmental descriptors of the aquatic environment (water colour, transparency and fluorescence) to an improved management of data collected with citizen participation. The sensors were tested, calibrated, integrated on several platforms, scientifically validated and demonstrated in the field. The new methods and tools were tested in a citizen-science context. The general conclusion is that citizens are valuable contributors in quality and quantity to the objective of collecting, integrating and analysing fragmented and diverse environmental data. An integration of these data into data-analysis tools has a large potential to support authoritative monitoring and decision-making. In this paper, the project’s objectives, results, technical achievements and lessons learned are presented | Descripción: | 41 pages, 28 figures, 1 table, supporting information https://doi.org/10.1371/journal.pone.0230084.s001.-- Through the interface at [http://www.citclops.eu/search/welcome.php] users are able to easily download all data. All data are also available from the dataset with DOI: 10.5281/zenodo.3497440 | Versión del editor: | https://doi.org/10.1371/journal.pone.0230084 | URI: | http://hdl.handle.net/10261/206219 | DOI: | 10.1371/journal.pone.0230084 | Identificadores: | e-issn: 1932-6203 |
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