遇见数据集

TR-Flow3D

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Figshare2024-11-06 更新2026-04-28 收录
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We generate Uniform flow and Beltrami flow using computational fluid dynamics (CFD), and extracting other flow from the Johns Hopkins Turbulence Database.We further extend it to a time-resolved setting, where each sample consists of ten particle frames and nine corresponding ground-truth flow fields.TR-Flow3D is generated by an exhaustive combination of parameters listed in this table, ultimately yielding 19,500 training samples and 1,950 testing samples.

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2024-11-06
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