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zenodoopen

data collection for machine learning using eddy force function data

<p>Data for &quot;On the choice of training data for machine learning of geostrophic mesoscale turbulence&quot;. Contains</p> <ul> <li>qgm2 code (from James Maddison, University of Edinburgh) for generating the data</li> <li>codes to process data from qgm2 for machine learning, and train convolutional neural networks to use the data</li> <li>sample data</li> <li>processed data to reproduce plots in the paper</li> </ul> <p>Files collected in different zip files to avoid the need to download the whole pack in one go. See readme for data/folder structure.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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