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2 projects in result set.
COPODA - COPODA is a Matlab package providing new objects to manage, manipulate and work with hydrographic datas from various origins. The primary goal of COPODA is to provide an uniform and collaborative platform for diagnostics development under Matlab.
Tags: analysis, argo, campagnes a la mer, Data collecting, data mining, DATASET, lpo, Matlab, validation

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Registered: 2014-01-09 16:45

Profile Classification Model - The project has to moved to: **** https://github.com/obidam/pcm **** Profile Classification Modelling (PCM) is an emerging scientific analysis approach based on in situ profiles classification that can be used in a variety of oceanographic problems (front detection, water mass identification, natural region contouring, reference profile selection for validation, etc ...). It is being developed at Ifremer/LOPS with collaboration with Telecom Bretagne since 2015 and is now mature enough (with publication and communications) to be distributed and made available publicly for continuous improvements with a community development. Reference: Maze, G., et al. Coherent heat patterns revealed by unsupervised classification of Argo temperature profiles in the North Atlantic Ocean. Prog. Oceanogr. (2017), http://dx.doi.org/10.1016/j.pocean.2016.12.008 You can send emails for registration or information requests at: pcm-support@forge.ifremer.fr You can download the 1st dataset release from North-Atlantic Argo data: http://doi.org/10.17882/47106
Tags: CODE, data mining, Matlab, Python

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Registered: 2016-12-09 10:42