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Marine Data and Science e-lectures - Australia's Integrated Marine Observing System (ODIS id: 479)

This resource is online Last check was 25/04/2024 15:34
First entry: 04/04/2019 Last update: 18/12/2021
Submitter/Owner of this record Dr Ana Lara-Lopez ( OceanExpert : 33389 )
Submitter/Owner Role GOOS associated institution/project
Datasource URL https://open2u.utas.edu.au/Course/4261
Parent Project URL http://imos.org.au/
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ODIS-Arch Type Sitemap
English name Marine Data and Science e-lectures - Australia's Integrated Marine Observing System
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Acronym Marine Data and Science e-lectures - IMOS
Citation
Abstract The Integrated Marine Observing System e-lectures are designed for marine scientists. These lectures are designed to be topic-specific to provide you with a hands-on approach to learning by teaching you how to use real ocean observational datasets collected by the Integrated Marine Observing System. There are three different topics covered in these lectures: Ocean Primary Productivity, the Carbon Cycle and Acidification. The modules were developed by the Integrated Marine Observing System (IMOS) in collaboration with the Australian Ocean Data Network (AODN), the Institute for Marine and Antarctic Studies (IMAS) and the Australian Institute of Marine Science (AIMS). Learning outcomes By the end of this course, You will know the basics of ocean primary productivity/ ocean carbon cycle/ ocean acidification. You will be able to explain which processes are involved in primary productivity/carbon cycle/ocean acidification, how it is measured and why it is important. You will learn different methods of ocean observing including in situ and remote sensing and how these observations can be used. You will gain knowledge of the advantages of open data and know where to find ocean data through the Australian Ocean Data Network or other databases and how to access these datasets. You will gain experience on how to analyse and interpret the data with options given on coding languages to achieve this. The data laboratories are developed in Matlab and either in R or Python, or both.
Host institution of the resource University of Tasmania
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