Published October 12, 2022
| Version v1
Dataset
Open
Dataset of "Super-resolution generative adversarial networks of randomly seeded fields"
- 1. Aerospace Engineering Research Group, Universidad Carlos III de Madrid, Leganés, Spain
- 2. Sub-Directorate General of Terrestrial Systems, Spanish National Institute for Aerospace Technology (INTA), San Martín de la Vega, Spain and Aerospace Engineering Research Group, Universidad Carlos III de Madrid, Leganés, Spain
Description
Dataset of the article "Super-resolution generative adversarial networks of randomly seeded fields" (https://doi.org/10.1038/s42256-022-00572-7)
The codes processing data here are on https://github.com/eaplab/RaSeedGAN
This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No 949085, NEXTFLOW).
Files
data.zip
Files
(28.5 GB)
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