EMSO-Azores observatory real-time data 2014 deployment

Date(s) (Publication)
Author(s): , , , , , , , , , , , , , , ,
Affiliation(s) 1 : Ifremer, Institut Carnot EDROME, France
2 : CNRS, IPGP, France
3 : CNRS, Université de la Rochelle, France
4 : University of the Azores, Portugal
Publisher(s): Sismer
DOI 10.12770/02c4b294-f3e6-4760-bc67-f401a583f475
Abstract This dataset contains real-time data acquired from the EMSO-Azores observatory from July 2014. It is daily updated. Data are from 11 types of instruments: Geodesic GPS, HD Camera (SMOOVE), Iridium GPS modem, Iron analyser (CHEMINI Fe), Meteorological station, Ocean Bottom Seismometer (event detection and local amplitude), Optode oxygen sensor, Pressure gauges (JP), Turbidity sensor, Connected in-Situ Instrumented Colonization System (CISICS) and Communication and Storage Front-end (COSTOF).
Keywords Mid-Atlantic Ridge, EMSO, Hydrothermal Vents, Lucky Strike, Marine imagery, Geophysical data, Multidisciplinary data, Environmental monitoring, TEMPO, Time-series, Environmental monitoring node, MoMAR, MoMARSAT2014
Utilisation EMSO data are published without any warranty, express or implied. The user assumes all risk arising from his/her use of EMSO data. EMSO data are intended to be research-quality and include estimates of data quality and accuracy, but it is possible that these estimates or the data themselves contain errors. It is the sole responsibility of the user to assess if the data are appropriate for his/her use, and to interpret the data, data quality, and data accuracy accordingly. EMSO welcomes users to ask questions and report problems to the contact addresses listed in the data files or on the EMSO web page.
Temporal Extent 2014-07-31 - 2015-05-01

How to cite

Sarradin Pierre-Marie, Cannat Mathilde, Blandin Jérôme, Ballu Valérie, Daniel Romuald, Godfroy Anne, Legrand Julien, Laës-Huon Agathe, Rommevaux-Jestin Céline, Sarrazin Jozée, Colaço Ana, Coail Jean-Yves, Coulombier Thibaut, Guyader Gérard, Pichavant Pascal, Prigent Sébastien (2015). EMSO-Azores observatory real-time data 2014 deployment. Sismer. https://doi.org/10.12770/02c4b294-f3e6-4760-bc67-f401a583f475