<p dir="ltr">The data is associated with the main text and supplementary figures. The dataset is provided in .fig format and separated into folders. They can be opened by open-source software such as Octave.</p><p dir="ltr">Giulia Marcucci, Luana Olivieri, and Juan Sebastian Totero Gongora, "Optimising complexity and learning for photonic reservoir computing with gain-controlled multimode fibres", Front. Nanotechnol. 7:1631564 (2025). DOI: <a href="https://www.frontiersin.org/journals/nanotechnology/articles/10.3389/fnano.2025.1631564" rel="noreferrer" target="_blank">10.3389/fnano.2025.1631564</a></p>
Funding
AI-powered micro-comb lasers: a new approach to transfer portable atomic clock accuracy in integrated photonics
Engineering and Physical Sciences Research Council