Demo dataset for harmonic-regression flow decomposition
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| Autori principali: | , , |
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| Natura: | Recurso digital |
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Zenodo
2026
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| _version_ | 1866901509582618624 |
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| author | Maluta, Francesco Alberini, Federico Paglianti, Alessandro |
| author_facet | Maluta, Francesco Alberini, Federico Paglianti, Alessandro |
| contents | <p>This dataset contains a reduced CFD dataset for harmonic-regression-based decomposition of impeller-driven flows.</p> <p>The dataset includes time-resolved velocity fields and associated quantities required to reproduce the harmonic decomposition into mean, phase-locked, and residual components.</p> <p>To reduce storage requirements and enable fast execution, the dataset is obtained via temporal subsampling (Δt increased by a factor 16) from a larger simulation dataset, while preserving the relevant statistical and spectral features.</p> <p>The dataset is intended for demonstration and reproducibility of the methodology implemented in the associated GitHub repository.</p> <p>Associated code repository: https://github.com/fmaluta/harmonic-decomposition</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19609349 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Demo dataset for harmonic-regression flow decomposition Maluta, Francesco Alberini, Federico Paglianti, Alessandro <p>This dataset contains a reduced CFD dataset for harmonic-regression-based decomposition of impeller-driven flows.</p> <p>The dataset includes time-resolved velocity fields and associated quantities required to reproduce the harmonic decomposition into mean, phase-locked, and residual components.</p> <p>To reduce storage requirements and enable fast execution, the dataset is obtained via temporal subsampling (Δt increased by a factor 16) from a larger simulation dataset, while preserving the relevant statistical and spectral features.</p> <p>The dataset is intended for demonstration and reproducibility of the methodology implemented in the associated GitHub repository.</p> <p>Associated code repository: https://github.com/fmaluta/harmonic-decomposition</p> |
| title | Demo dataset for harmonic-regression flow decomposition |
| url | https://doi.org/10.5281/zenodo.19609349 |