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CODE CORIOLIS DATASET Data collecting Engineering Evaluation Fisheries Fleet Flotte Halieutic INSITU Interface Java MARS Matlab PROGRAM Python R R&D RH SALINITY SCRIPT SIH Scientific Simulation TEMPERATURE Visualization WAVEWATCH III Web acoustics acoustique analysis argo campagnes a la mer data mining indicateurs indicators lpo sea surveys stock assessment validation
3 projets trouvés.
CORA UPDATE - This project is a set of programs that will be used to update the dataset CORA at the coriolis data center.
Mots clefs : CODE, CORIOLIS, DATASET, INSITU, PROGRAM, R&D, SALINITY, Scientific, SCRIPT, TEMPERATURE

Progression de l'activité : 0
Rang d'activité : 0
Inscrit : 08/06/2010 15:42

coriolis-rd - Purpose : share codes and documents within the Coriolis R&D team
Mots clefs : CORIOLIS, INSITU, CODE, PROGRAM, SCRIPT, Scientific, DATASET, R&D, TEMPERATURE, SALINITY

Progression de l'activité : 0
Rang d'activité : 0
Inscrit : 19/07/2011 11:48

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
Mots clefs : CODE, data mining, Matlab, Python

Progression de l'activité : 0
Rang d'activité : 0
Inscrit : 09/12/2016 10:42