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dc.contributor.authorBardají Benach, Raúl
dc.contributor.authorBartolomé de la Peña, Rafael
dc.contributor.authorDañobeita Canales, Juan José
dc.contributor.authorGarcía, Oscar
dc.contributor.authorRío Fernandez, Joaquín del
dc.contributor.authorPiera, Jaume
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.date.accessioned2018-02-06T10:31:19Z
dc.date.available2018-02-06T10:31:19Z
dc.date.issued2017
dc.identifier.citationBardají, R., Bartolomé, R., Dañobeita, J., García, O., Del Rio, J., Piera, J. The module for ocean observatory data analysis of EMSO. A: ASLO Aquatic Sciences Meeting. "Mountains to the sea : ASLO Aquatic Sciences Meeting 2017 M2C: Meeting abstracts". Honolulu: 2017.
dc.identifier.urihttp://hdl.handle.net/2117/113777
dc.description.abstractThe European Multidisciplinary Seafloor and water-column Observatory (EMSO) is a large-scale, distributed, Marine Research Infrastructure (RI). EMSO consists of ocean observation systems for long-term, high-resolution, (near) real-time monitoring of environmental processes including natural hazards, climate change, and marine ecosystems. EMSO observatory nodes are at key sites around Europe, from the Arctic to the Atlantic, through the Mediterranean, to the Black Sea. To analyse the EMSO data, we develop the Module for Ocean Observatory Data Analysis (MOODA). MOODA is a software with a Graphical User Interface (GUI) developed for scientists. The software helps to facilitate data access (mainly off-line) for further analysis by the scientific community. Some of the features the MOODA offers are: (1) Direct data access with complex query capabilities; (2) Data filtering methods based on metadata information; (3) Complex visualization tools; (4) Summary reports of the validated data generated from a specific query, including event annotations; (5) Specific data analysis tools for different scientific disciplines; (6) The system will be designed to be open, adaptable and scalable allowing future contributions from researchers and developers from all the disciplines associated to the EMSO observatories. The code is written in Python, and it is available on GitHub. MOODA aims to make informative plots as a central part of exploring and understanding data.
dc.language.isoeng
dc.subjectÀrees temàtiques de la UPC::Enginyeria civil::Geologia::Oceanografia
dc.subjectÀrees temàtiques de la UPC::Enginyeria electrònica::Instrumentació i mesura::Sensors i actuadors
dc.subject.lcshOcean bottom -- Research
dc.subject.lcshOceanography--Observations--Data processing
dc.titleThe module for ocean observatory data analysis of EMSO
dc.typeConference lecture
dc.subject.lemacFons marins -- Investigació
dc.subject.lemacOceanografia -- Observacions
dc.contributor.groupUniversitat Politècnica de Catalunya. SARTI - Centre de Desenvolupament Tecnològic de Sistemes d'Adquisició Remota i Tractament de la Informació
dc.relation.publisherversionhttps://www.sgmeet.com/aslo/honolulu2017/viewabstract.asp?AbstractID=29307
dc.rights.accessOpen Access
local.identifier.drac21880002
dc.description.versionPostprint (published version)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/676555/EU/EMSO implementation and operation: DEVelopment of instrument module/EMSODEV
local.citation.authorBardají, R.; Bartolomé, R.; Dañobeita, J.; García, O.; Del Rio, J.; Piera, J.
local.citation.contributorASLO Aquatic Sciences Meeting
local.citation.pubplaceHonolulu
local.citation.publicationNameMountains to the sea : ASLO Aquatic Sciences Meeting 2017 M2C: Meeting abstracts


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