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Data for "Mid-air Collisions Control the Wavelength of Aeolian Sand Ripples"

<p>The results of the&nbsp;numerical simulations mentioned in the paper.&nbsp;</p> <p>The package &quot;ripple formation&quot; contains the bed surface data of the ripple formation simulations. These cases are simulated in a 1m x 0.01m x 0.3m cuboid domain. The initial bed is a flat granular surface of 0.02m in thickness. The density of the fluid rho_f=1.263 kg/m^3;&nbsp;the density of particles rho_p=2650 kg/m^3; the particle diameter&nbsp;d=2.5e-4 m;&nbsp;the kinetic viscosity of the fluid nu=1.49e-5 (m^2)/s. All the settings are based on the wind-blowing sand situation of earth environment. Different wind velocities&nbsp;are tested. &quot;u3, u35, u4, u45...&quot; represent the wind velocity u*=0.3, u*=0.35, u*=0.4, u*=0.45, etc.</p> <p>Variables in the surface.plt file:</p> <p>PX: location in the fluid direction. PY:&nbsp;location in the transverse&nbsp;direction. PZ: bed surface elevation at (PX, PY). DP: not used in this paper.</p> <p>The packages with prefix&nbsp;&quot;preripple-&quot; contain&nbsp;the particle information derived from the pre-rippled simulations. All the settings of them are similar to those in the ripple formation simulations. The right part of the package name declares the changed setting. For example, package &quot;preripple-d200&quot; contains the cases run with a particle diameter d=200 &micro;m (or 2e-4 m),&nbsp;&quot;preripple-rho_f05&quot; contains the cases run with a fluid density&nbsp;rho_f=0.5 kg/m^3. For each run, the wave number of the pre-rippled surface varies every 20 seconds from k=50 to k=500.</p> <p>Variables in the particle_loc.plt file:</p> <p>XP, YP, ZP: particle location. DP: particle diameter. UP, VP, WP: particle velocity. FK: particle flight distance. FZ: particle height from the bed surface. FH: maximum particle height from the bed surface. FG: mid-air colliding counter. FT: particle flight duration time.</p>

ShareScore

32/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0