synthetic climate data used for Controlled Abstention Network (CAN) development

<p>The synthetic climate data used in two papers to develop Controlled Abstention Netoworks. The data is&nbsp;approximately 720Mb, saved as a .mat file. The data is from Mamalakis et al. (2021) - with citation given below.&nbsp;</p> <p>Mamalakis, Antonios, Imme Ebert-Uphoff and Elizabeth A. Barnes: Neural Network Attribution Methods for Problems in Geoscience: A Novel Synthetic Benchmark Dataset, submitted to Environmental Data Science, 11/2021, preprint available https://arxiv.org/abs/2103.10005.</p> <p>The code that uses&nbsp;this data can be accessed here:</p> <p>Elizabeth Barnes, &amp; Randal J. Barnes. (2021). eabarnes1010/controlled_abstention_networks: (v1.0.1). Zenodo. https://doi.org/10.5281/zenodo.5750222</p> <p>The publications associated with this data are posted on arxiv (but will soon be published in JAMES):</p> <ul> <li> <p><strong>Barnes, Elizabeth A. </strong>and Randal J. Barnes: Controlled abstention neural networks for identifying skillful predictions for regression problems, accepted to <em>JAMES</em> 11/2021. Preprint available at <a href="https://www.google.com/url?q=https%3A%2F%2Farxiv.org%2Fabs%2F2104.08236&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNENUTEbOS90QNROchwcMQDDpJsrjQ">https://arxiv.org/abs/2104.08236</a></p> </li> <li> <p><strong>Barnes, Elizabeth A. </strong>and Randal J. Barnes: Controlled abstention neural networks for identifying skillful predictions for classification problems, accepted to <em>JAMES</em> 11/2021. Preprint available at <a href="https://www.google.com/url?q=https%3A%2F%2Farxiv.org%2Fabs%2F2104.08281&amp;sa=D&amp;sntz=1&amp;usg=AFQjCNHUMJPchhqprYXHRAzb2HA4USVvUw">https://arxiv.org/abs/2104.08281</a></p> </li> </ul>