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Dataset of "Super-resolution generative adversarial networks of randomly seeded fields"

<p>Dataset of the article &quot;Super-resolution generative adversarial networks of randomly seeded fields&quot; (https://doi.org/10.1038/s42256-022-00572-7)</p> <p>The codes processing data here are on https://github.com/eaplab/RaSeedGAN</p> <p>This project has received funding from the&nbsp;European Research Council (ERC)&nbsp;under the European Union&rsquo;s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).</p>

ShareScore

28/100

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
0
Engagement
4