January 26, 2024 Dataset Open Access

Tianyi Li; Luca Biferale; Fabio Bonaccorso; Martino A. Scarpolini; Michele Buzzicotti

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  <dc:creator>Tianyi Li</dc:creator>
  <dc:creator>Luca Biferale</dc:creator>
  <dc:creator>Fabio Bonaccorso</dc:creator>
  <dc:creator>Martino A. Scarpolini</dc:creator>
  <dc:creator>Michele Buzzicotti</dc:creator>
  <dc:date>2024-01-26</dc:date>
  <dc:description>This dataset forms the basis of our research paper "Synthetic Lagrangian Turbulence by Generative Diffusion Models" published in Nature Machine Intelligence. It is available for download from the open-access Smart-TURB portal: http://smart-turb.roma2.infn.it, in the TURB-Lagr repository (DOI: 10.48550/arXiv.2303.08662). Instructions on how to read the dataset can be found in the code repository at https://github.com/SmartTURB/diffusion-lagr.

The files "Lagr_u1c_diffusion.h5" and "Lagr_u3c_diffusion.h5" are the datasets used to train the DM-1c and DM-3c models respectively. Correspondingly, "Lagr_u1c_diffusion-demo.h5" and "Lagr_u3c_diffusion-demo.h5" serve as their minimum datasets for testing the code. The files "samples_358400x2000x1_DM-1c.npz" and "samples_358400x2000x3_DM-3c.npz" are generated outputs from the DM-1c and DM-3c models. They support all the analyses presented in the paper.</dc:description>
  <dc:identifier>https://www.openaccessrepository.it/record/143615</dc:identifier>
  <dc:identifier>10.15161/oar.it/143615</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>doi:10.48550/arXiv.2303.08662</dc:relation>
  <dc:relation>doi:10.15161/oar.it/143614</dc:relation>
  <dc:relation>url:https://www.openaccessrepository.it/communities/infn</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:subject>Lagrangian turbulence</dc:subject>
  <dc:subject>Generative diffusion model</dc:subject>
  <dc:title>Dataset for: Synthetic Lagrangian Turbulence by Generative Diffusion Models</dc:title>
  <dc:type>info:eu-repo/semantics/other</dc:type>
  <dc:type>dataset</dc:type>
</oai_dc:dc>