Dataset Open Access
Tianyi Li; Luca Biferale; Fabio Bonaccorso; Martino A. Scarpolini; Michele Buzzicotti
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Scarpolini" }, { "affiliation": "Department of Physics and INFN, University of Rome \"Tor Vergata\"", "name": "Michele Buzzicotti" } ], "description": "<p>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.</p>\n\n<p>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.</p>", "doi": "10.15161/oar.it/143615", "keywords": [ "Lagrangian turbulence", "Generative diffusion model" ], "language": "eng", "license": { "id": "CC-BY-4.0" }, "publication_date": "2024-01-26", "related_identifiers": [ { "identifier": "10.48550/arXiv.2303.08662", "relation": "references", "scheme": "doi" }, { "identifier": "10.15161/oar.it/143614", "relation": "isVersionOf", "scheme": "doi" } ], "relations": { "version": [ { "count": 1, "index": 0, "is_last": true, "last_child": { "pid_type": "recid", "pid_value": "143615" }, "parent": { "pid_type": "recid", "pid_value": "143614" } } ] }, "resource_type": { "title": "Dataset", "type": "dataset" }, "title": "Dataset for: Synthetic Lagrangian Turbulence by Generative Diffusion Models" }, "owners": [ 295 ], "revision": 2, "stats": { "downloads": 0.0, "unique_downloads": 0.0, "unique_views": 0.0, "version_downloads": 0.0, "version_unique_downloads": 0.0, "version_unique_views": 0.0, "version_views": 0.0, "version_volume": 0.0, "views": 0.0, "volume": 0.0 }, "updated": "2024-04-05T09:05:11.173403+00:00" }
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