Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016)

Chatzievangelou, Damianos; Aguzzi, Jacopo; Scherwath, Martin; Thomsen, Laurenz; University of Victoria

Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016)

Special issue Selected Papers from the 2019 IMEKO TC-19 International Workshop on Metrology for the Sea.-- 20 pages, 8 figures, 2 tables, 1 appendix, supplementary materials at http://www.mdpi.com/1424-8220/20/10/2991/s1

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Main Authors:	Chatzievangelou, Damianos, Aguzzi, Jacopo, Scherwath, Martin, Thomsen, Laurenz
Other Authors:	University of Victoria
Format:	artículo biblioteca
Published:	Multidisciplinary Digital Publishing Institute 2020-05-25
Online Access:	http://hdl.handle.net/10261/212564 http://dx.doi.org/10.13039/100008997 http://dx.doi.org/10.13039/501100001656 http://dx.doi.org/10.13039/501100000041 http://dx.doi.org/10.13039/501100001805 http://dx.doi.org/10.13039/501100011033
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spelling	dig-icm-es-10261-2125642022-09-09T08:01:06Z Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016) Chatzievangelou, Damianos Aguzzi, Jacopo Scherwath, Martin Thomsen, Laurenz University of Victoria Transport Canada Province of British Columbia Helmholtz-Zentrum Dresden-Rossendorf Tecnoterra Helmholtz Association Ministerio de Ciencia, Innovación y Universidades (España) Fisheries and Oceans Canada Canada Foundation for Innovation Agencia Estatal de Investigación (España) Special issue Selected Papers from the 2019 IMEKO TC-19 International Workshop on Metrology for the Sea.-- 20 pages, 8 figures, 2 tables, 1 appendix, supplementary materials at http://www.mdpi.com/1424-8220/20/10/2991/s1 Deep-sea environmental datasets are ever-increasing in size and diversity, as technological advances lead monitoring studies towards long-term, high-frequency data acquisition protocols. This study presents examples of pre-analysis data treatment steps applied to the environmental time series collected by the Internet Operated Deep-sea Crawler “Wally” during a 7-year deployment (2009–2016) in the Barkley Canyon methane hydrates site, off Vancouver Island (BC, Canada). Pressure, temperature, electrical conductivity, flow, turbidity, and chlorophyll data were subjected to different standardizing, normalizing, and de-trending methods on a case-by-case basis, depending on the nature of the treated variable and the range and scale of the values provided by each of the different sensors. The final pressure, temperature, and electrical conductivity (transformed to practical salinity) datasets are ready for use. On the other hand, in the cases of flow, turbidity, and chlorophyll, further in-depth processing, in tandem with data describing the movement and position of the crawler, will be needed in order to filter out all possible effects of the latter. Our work evidences challenges and solutions in multiparametric data acquisition and quality control and ensures that a big step is taken so that the available environmental data meet high quality standards and facilitate the production of reliable scientific results This research was developed within the framework of Ocean Networks Canada and NEPTUNE Canada, an initiative of the University of Victoria, and primarily funded by the Canadian Foundation for Innovation, Transport Canada, Fisheries and Oceans Canada, and the Canadian Province of British Columbia; Helmholtz Alliance and Tecnoterra (ICM-CSIC/UPC) and the following project activities: ROBEX (HA-304); ARIM (Autonomous Robotic sea-floor Infrastructure for benthopelagic Monitoring; MartTERA ERA-Net Cofound); ARCHES (Autonomous Robotic Networks to Help Modern Societies; German Helmholtz Association) and RESBIO (TEC2017-87861-R; Ministerio de Ciencia, Innovación y Universidades) With the funding support of the ‘Severo Ochoa Centre of Excellence’ accreditation (CEX2019-000928-S), of the Spanish Research Agency (AEI) 2020-05-28T14:12:39Z 2020-05-28T14:12:39Z 2020-05-25 2020-05-28T14:12:39Z artículo http://purl.org/coar/resource_type/c_6501 doi: 10.3390/s20102991 issn: 1424-8220 e-issn: 1424-8220 Sensors 20(10): 2991 (2020) CEX2019-000928-S http://hdl.handle.net/10261/212564 10.3390/s20102991 http://dx.doi.org/10.13039/100008997 http://dx.doi.org/10.13039/501100001656 http://dx.doi.org/10.13039/501100000041 http://dx.doi.org/10.13039/501100001805 http://dx.doi.org/10.13039/501100011033 32466261 #PLACEHOLDER_PARENT_METADATA_VALUE# info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/TEC2017-87861-R https://doi.org/10.3390/s20102991 open Multidisciplinary Digital Publishing Institute
institution	ICM ES
collection	DSpace
country	España
countrycode	ES
component	Bibliográfico
access	En linea
databasecode	dig-icm-es
tag	biblioteca
region	Europa del Sur
libraryname	Biblioteca del ICM España
description	Special issue Selected Papers from the 2019 IMEKO TC-19 International Workshop on Metrology for the Sea.-- 20 pages, 8 figures, 2 tables, 1 appendix, supplementary materials at http://www.mdpi.com/1424-8220/20/10/2991/s1
author2	University of Victoria
author_facet	University of Victoria Chatzievangelou, Damianos Aguzzi, Jacopo Scherwath, Martin Thomsen, Laurenz
format	artículo
author	Chatzievangelou, Damianos Aguzzi, Jacopo Scherwath, Martin Thomsen, Laurenz
spellingShingle	Chatzievangelou, Damianos Aguzzi, Jacopo Scherwath, Martin Thomsen, Laurenz Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016)
author_sort	Chatzievangelou, Damianos
title	Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016)
title_short	Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016)
title_full	Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016)
title_fullStr	Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016)
title_full_unstemmed	Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016)
title_sort	quality control and pre-analysis treatment of the environmental datasets collected by an internet operated deep-sea crawler during its entire 7-year long deployment (2009-2016)
publisher	Multidisciplinary Digital Publishing Institute
publishDate	2020-05-25
url	http://hdl.handle.net/10261/212564 http://dx.doi.org/10.13039/100008997 http://dx.doi.org/10.13039/501100001656 http://dx.doi.org/10.13039/501100000041 http://dx.doi.org/10.13039/501100001805 http://dx.doi.org/10.13039/501100011033
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Quality Control and Pre-Analysis Treatment of the Environmental Datasets Collected by an Internet Operated Deep-Sea Crawler during Its Entire 7-Year Long Deployment (2009-2016)

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