Automated Author ProfileHearst, Robert
Hearst, Robert
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.3 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
This dataset contains a matlab file required to reproduce all the figures in the above mentioned paper. If you use any of the data from this dataset, please cite the following article,R. Jason Hearst, Eda Dogan and Bharathram Ganapathisubramani, (2018), "Robust features of a turbulent boundary layer subjected to high-intensity free-stream turbulence", Journal of Fluid Mechanics. DOI: 10.1017/jfm.2018.511Here is further information on the dataset:The variables contained in the file are:B = log-law fitting parameter described in equation (1.1)kappa = log-law fitting parameter described in equation (1.1)delta = boundary layer thickness (units: meters)lamb_inf = Taylor microscale in the free-stream (units: meters)Lu_inf = integral lengthscale in the free-stream (units: meters)nu = kinematic viscosity (units: m^2/s)Re_lamb_inf = Taylor microscale based Reynolds number in the free-streamRe_tau = friction velocity based Reynolds numberRe_theta = momentum thickness based Reynolds numberu2_inf = streamwise velocity variance in the free-stream(units: m^2/s^2)U_inf = streamwise mean velocity in the free-stream (units: m/s)U_tau = mean friction velocity (units: m/s)uU_inf = free-stream turbulence intensityFu = streamwise velocity flatness profilesSu = streamwise velocity skewness profilesU = streamwise mean velocity profiles (units: m/s)u2 = streamwise velocity variance profiles (units: m^2/s^2)y = wall-normal position for profiles (units: meters)E11_inf = free-stream spectrakE11 = pre-multiplied spectra at all wall-normal positions for each case(units of m^2/s^2)Gg = global gain functionkpu = wall-unit normalised wavenumber for all spectraypu = wall-unit normalised wall-normal position for all spectraCoh_G = spectral coherence, equation (3.1) of the text, for case GCoh_H = spectral coherence for case HCoh_N = spectral coherence for case Nzetap_Coh_G = wall-unit normalised wavelength for spectral coherence case Gzetap_Coh_H = wall-unit normalised wavelength for spectral coherence case Hzetap_Coh_N = wall-unit normalised wavelength for spectral coherence case NFor all variables except for the coherence plots, the data is stored as"cell" elements in MATLAB where the first element of the cell (index = 1)is case A, the second element of the cell (index = 2) is case B, and so on.
Authors
- Hearst, Robert ;
- Dogan, Eda ;
- Ganapathisubramani, Bharathram