Skip to main content
zenodoopen

An analytical study of capillary rise dynamics: Critical conditions and hidden oscillations - Research Data

<p>This dataset provides the research data and software for the publication:</p> <p>M. Fricke, E. Ouro-Koura, S. Raju, R. von Klitzing, J. De Coninck, D. Bothe:&nbsp;An analytical study of capillary rise dynamics:<br> Critical conditions and hidden oscillations</p> <p>which was published in the Journal Physica D: Nonlinear Phenomena. The experimental data for the capillary rise of silicon oil, ethanol and ether has been extracted from the publication</p> <p>D. Qu&eacute;r&eacute;: Inertial capillarity, EPL 39 533, DOI:10.1209/epl/i1997-00389-2 (1997)</p> <p>using image analysis methods. It is stored in the csv files Silicon_Oil_Quere1997, Ethanol_Quere1997.csv and Ether_Quere1997. Please use the Python scripts silicon-oil.py, ethanol.py and ether.py to solve the ordinary differential equation model and to generate the plots presented in our publication. The Python library matplotlib was used for plotting. A simple explicit Euler scheme proved sufficient to solve the ordinary differential equation in its dimensionless form. It is implemented in the file capRiseOdeSolver.py.</p>

ShareScore

40/100

Overall dataset sharing score

Score breakdown

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

Stewardship
8
Harmonization
4
Access
20
Reuse readiness
8
Engagement
0

Topics