January 26, 2024 Dataset Open Access

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

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  <identifier identifierType="DOI">10.15161/oar.it/143615</identifier>
  <creators>
    <creator>
      <creatorName>Tianyi Li</creatorName>
      <affiliation>Department of Physics and INFN, University of Rome "Tor Vergata"</affiliation>
    </creator>
    <creator>
      <creatorName>Luca Biferale</creatorName>
      <affiliation>Department of Physics and INFN, University of Rome "Tor Vergata"</affiliation>
    </creator>
    <creator>
      <creatorName>Fabio Bonaccorso</creatorName>
      <affiliation>Department of Physics and INFN, University of Rome "Tor Vergata"</affiliation>
    </creator>
    <creator>
      <creatorName>Martino A. Scarpolini</creatorName>
      <affiliation>Department of Industrial Engineering, University of Rome "Tor Vergata"</affiliation>
    </creator>
    <creator>
      <creatorName>Michele Buzzicotti</creatorName>
      <affiliation>Department of Physics and INFN, University of Rome "Tor Vergata"</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Dataset for: Synthetic Lagrangian Turbulence by Generative Diffusion Models</title>
  </titles>
  <publisher>INFN Open Access Repository</publisher>
  <publicationYear>2024</publicationYear>
  <subjects>
    <subject>Lagrangian turbulence</subject>
    <subject>Generative diffusion model</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2024-01-26</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://www.openaccessrepository.it/record/143615</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="References">10.48550/arXiv.2303.08662</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.15161/oar.it/143614</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://www.openaccessrepository.it/communities/infn</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;This dataset forms the basis of our research paper &amp;quot;Synthetic Lagrangian Turbulence by Generative Diffusion Models&amp;quot; published in Nature Machine Intelligence.&amp;nbsp;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).&amp;nbsp;Instructions on how to read the dataset&amp;nbsp;can be found in the code repository at https://github.com/SmartTURB/diffusion-lagr.&lt;/p&gt;

&lt;p&gt;The files &amp;quot;Lagr_u1c_diffusion.h5&amp;quot;&amp;nbsp;and &amp;quot;Lagr_u3c_diffusion.h5&amp;quot; are the datasets used to train the DM-1c and DM-3c models respectively.&amp;nbsp;Correspondingly, &amp;quot;Lagr_u1c_diffusion-demo.h5&amp;quot; and &amp;quot;Lagr_u3c_diffusion-demo.h5&amp;quot; serve as their minimum datasets for testing the code. The files&amp;nbsp;&amp;quot;samples_358400x2000x1_DM-1c.npz&amp;quot; and &amp;quot;samples_358400x2000x3_DM-3c.npz&amp;quot; are generated outputs from the DM-1c and DM-3c models. They support all the analyses presented in the&amp;nbsp;paper.&lt;/p&gt;</description>
  </descriptions>
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