
This dataset contains the numerical and experimental data corresponding to the figures presented in the article “Angular velocity of Kolmogorov-scale fibers as proxy for turbulent dissipation” by D. Zaza, V. Giurgiu, M. Iovieno, and A. Soldati (Physical Review Letters, 2026). The data include: Experimental measurements of the mean-square angular velocity of rigid fibers in turbulent channel flow at different friction Reynolds numbers Direct Numerical Simulation (DNS) statistics of turbulent channel flow, including wall-normal profiles of the filtered velocity-gradient magnitude and turbulent dissipation. DNS results for ellipsoidal particles, providing wall-normal profiles of the mean-square angular velocity and the individual contributions to the angular-velocity budget derived from Eq. (2) of the paper. Each data file contains a header describing the physical meaning of the variables, the applied normalization, and the associated simulation or experimental conditions.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
