January 26, 2024 Dataset Open Access

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

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  "@id": "https://doi.org/10.15161/oar.it/143615", 
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      "@id": "https://doi.org/10.48550/arXiv.2303.08662", 
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  "creator": [
    {
      "@type": "Person", 
      "affiliation": "Department of Physics and INFN, University of Rome \"Tor Vergata\"", 
      "name": "Tianyi Li"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Department of Physics and INFN, University of Rome \"Tor Vergata\"", 
      "name": "Luca Biferale"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Department of Physics and INFN, University of Rome \"Tor Vergata\"", 
      "name": "Fabio Bonaccorso"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Department of Industrial Engineering, University of Rome \"Tor Vergata\"", 
      "name": "Martino A. Scarpolini"
    }, 
    {
      "@type": "Person", 
      "affiliation": "Department of Physics and INFN, University of Rome \"Tor Vergata\"", 
      "name": "Michele Buzzicotti"
    }
  ], 
  "datePublished": "2024-01-26", 
  "description": "<p>This dataset forms the basis of our research paper &quot;Synthetic Lagrangian Turbulence by Generative Diffusion Models&quot; published in Nature Machine Intelligence.&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).&nbsp;Instructions on how to read the dataset&nbsp;can be found in the code repository at https://github.com/SmartTURB/diffusion-lagr.</p>\n\n<p>The files &quot;Lagr_u1c_diffusion.h5&quot;&nbsp;and &quot;Lagr_u3c_diffusion.h5&quot; are the datasets used to train the DM-1c and DM-3c models respectively.&nbsp;Correspondingly, &quot;Lagr_u1c_diffusion-demo.h5&quot; and &quot;Lagr_u3c_diffusion-demo.h5&quot; serve as their minimum datasets for testing the code. The files&nbsp;&quot;samples_358400x2000x1_DM-1c.npz&quot; and &quot;samples_358400x2000x3_DM-3c.npz&quot; are generated outputs from the DM-1c and DM-3c models. They support all the analyses presented in the&nbsp;paper.</p>", 
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  "identifier": "https://doi.org/10.15161/oar.it/143615", 
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    "alternateName": "eng", 
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  "keywords": [
    "Lagrangian turbulence", 
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  "license": "https://creativecommons.org/licenses/by/4.0/", 
  "name": "Dataset for: Synthetic Lagrangian Turbulence by Generative Diffusion Models", 
  "url": "https://www.openaccessrepository.it/record/143615"
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