data collection for machine learning using eddy force function data
<p>Data for "On the choice of training data for machine learning of geostrophic mesoscale turbulence". 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
ScienceDex for faculty
Your academic CV and NIH biosketch
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