Dataset of "Hilbert Proper Orthogonal Decomposition: a tool for educing advective wavepackets from flow field data"

Dataset of the paper "Hilbert proper orthogonal Decomposition: A tool for educing advective" (https://doi.org/10.1103/bhlm-qwfh). This dataset includes the data and the codes to reproduce the results included in the paper. It includes the 3 datasets: 1) A laminar cylinder wake DNS dataset 2) A turbulent jet LES dataset (subset extracted from Towne et al., 2023, AIAAJ, doi: 10.2514/1.J062203) 3) A turbulent jet PIV dataset AcknowledgmentsThis work has been supported by the projects ARTURO, grant PID2019-109717RB-I00, and EXCALIBUR, grant PID2022-138314NB-I00, funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe”. MR is supported by the Alexander Von Humboldt fellowship for experienced researchers.