OceanTEA: A Platform for Sharing Oceanographic Data and Analyses

Johanson, Arne, Jung, Reiner, Flögel, Sascha, Dullo, Christian and Hasselbring, Wilhelm (2017) OceanTEA: A Platform for Sharing Oceanographic Data and Analyses [Paper] In: International Open Science Conference 2017, 12.-14.03.2017, Berlin, Germany.


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Ocean observation systems, such as Argo floats or the modular ocean laboratory MoLab, produce an increasing amount of time series data. Both, statistical data mining techniques and manual exploration via visualization are necessary for oceanographers to extract scientific knowledge from such vast datasets. Therefore, scientists require a platform to explore and analyze data visually, supporting their collaboration and research. To deliver results and foster the impact of publications, such platform should facilitate automatic and interactive access to research results for scientists, their peers and the public.

Our software platform OceanTEA (Oceanographic TimeSeries Exploration and Analysis) supports oceanographers in their research and publication efforts. The platform leverages modern web technology to support the interactive exploration and analysis of high-dimensional datasets. OceanTEA relies on a microservice architecture which can be deployed on desktops and on cloud computing infrastructure.

Document Type: Conference or Workshop Item (Paper)
Keywords: Time series data exploration data analysis microservice
Research affiliation: Kiel University > Software Engineering
OceanRep > The Future Ocean - Cluster of Excellence > FO-R10
Kiel University > Kiel Marine Science
OceanRep > The Future Ocean - Cluster of Excellence
OceanRep > GEOMAR > FB1 Ocean Circulation and Climate Dynamics > FB1-P-OZ Paleo-Oceanography
Kiel University
Projects: OceanTEA, Future Ocean
Date Deposited: 18 Apr 2017 10:31
Last Modified: 10 Apr 2018 10:32
URI: http://eprints.uni-kiel.de/id/eprint/37579

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