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Quality control and pre-analysis treatment of 5-year long environmental datasets collected by an Internet Operated Deep-sea Crawler

Authors: Chatzievangelou, Damianos; Aguzzi, Jacopo; Thomsen, Laurenz;

Quality control and pre-analysis treatment of 5-year long environmental datasets collected by an Internet Operated Deep-sea Crawler

Abstract

As technological advances nowadays allow for long-term, high-frequency deep-sea monitoring studies, the collected datasets are increasing in size and diversity. As a consequence, together with the need for larger-scale management, the issue of the standardization of data collection and treatment and the comparability between datasets of distinct sources is being raised. This study presents examples of data treatment steps followed, in order to ensure that the datasets collected during a period of 5 years by the Internet Operated Deep-sea Crawler “Wally> meet high quality standards and are adequate for the production of reliable results to monitor of the Barkley Canyon methane hydrates site, off Vancouver Island (BC, Canada). In addition to internationally established automated procedures, different standardizing, normalizing and detrending methods can be used on a case-by-case basis, depending on the nature of the treated oceanographic variable and the range and scale of the values provided by each different sensor

The development and deployment of the crawler, as well as individual studies were funded by Ocean Networks Canada and Neptune Canada (http://www.oceannetworks.ca/), the Robotic Exploration of Extreme Environments (ROBEX) project of the Helmholtz Alliance (HA-304; http://www.helmholtz.de/), the EU ESONET program (contract no. 036851), the Tecnoterra Joint Unit (ICM-CSIC/UPC) and RESNEP project (CTM2017-82991-C2-1-R) of the Spanish national RTD program

2019 IMEKO TC-19 International Workshop on Metrology for the Sea (MetroSea 2019), 3-5 October 2019, Genova, Italy.-- 5 pages, 5 figures, 1 table

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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