Replication Data for: Defocused Shadowgraphy μPTV for Analyzing the Spreading Mechanism of an Impacting Droplet onto a Thin Liquid Film

<h2>Related Publication</h2>

<p>
Supplementary material to:<br>
<strong>
P. Molina Vogelsang, T. Fuchs, S. Schubert & G. Lamanna<br>
“Defocused Shadowgraphy μPTV for Analyzing the Spreading Mechanism of an Impacting Droplet onto a Thin Liquid Film”
</strong>
</p>

<p>
DOI: <em>[DOI will be added after publication]</em>
</p>

<h2>Dataset Description</h2>

<p>
The data were obtained using shadowgraphy-based Defocusing Micro Particle Tracking Velocimetry (SDµPTV)
and provide time- and height-resolved measurements of the flow within a radially spreading lamella
generated by droplet impact onto a thin liquid film.
</p>

<h3>Contents of the Dataset</h3>
<ul>
<li>Lamella height evolution data</li>
<li>Radial slope (a<sub>r</sub> = u<sub>r</sub>/r)</li>
<li>Radial velocity data (u<sub>r</sub>(r,t,z))</li>
<li>Radial velocity and slope profiles at selected positions</li>
<li>Scatter data for velocity visualization</li>
<li>
Experimental boundary conditions and metadata
(<code>.README.txt</code> & <code>.README4BoundaryConditions.txt</code>)
</li>
</ul>

<p>
A detailed description of the dataset structure, file contents, and instructions for reproducing
the figures is provided in the accompanying <strong>README files</strong>.
</p>

<h3>Experiments</h3>
<p>
Two fluid systems (<strong>B20</strong> and <strong>B50</strong>) are investigated at a nominal
dimensionless film thickness of h/d<sub>0</sub> ≈ 0.18, each consisting of three repeated experiments.
</p>

<p>
In addition, raw experimental shadowgraphy images (<code>.tif</code>) are provided for representative cases
(ID 1405 and 1420), including micro-scale bottom-view perspectives.
</p>

<h3>Data Format and Reproducibility</h3>
<p>
The dataset contains MATLAB (<code>.mat</code>) files and corresponding CSV exports to ensure accessibility
without proprietary software dependencies. The provided scripts were developed and tested using
<strong>MATLAB R2024a or later</strong>.
</p>

<p>
All processed data enable the reproduction of the key figures of the associated publication.
</p>

<h3>Figure-to-Data Mapping</h3>

<p>
<strong>Fig. 5</strong><br>
Data: <code>scatterData_ID_*.csv</code><br>
Script: <code>scatterData2CSV_ur_scatter_over_time.m</code>
</p>

<p>
<strong>Fig. 6</strong><br>
Data: <code>extractedData_SlopeDecline_ID*.csv</code><br>
Script: <code>Scatter_global.m</code>
</p>

<p>
<strong>Fig. 7</strong><br>
Data: <code>extractedData_SlopeDecline_ID*.csv</code><br>
Script:<br>
<code>Plot_global_MinMax.m</code><br>
<code>plotMinMaxWithStd_V6_DaRUS.m</code>
</p>

<p>
<strong>Fig. 8</strong><br>
Data: <code>extractedData_R1_Tau*.csv</code><br>
Script: <code>scatterData2CSV_radialVelocityProfiles_tau.m</code>
</p>

<p>
<strong>Fig. 9</strong><br>
Data: <code>extractedData_R2_Tau*.csv</code><br>
Script: <code>scatterData2CSV_radialVelocityProfiles_tau.m</code>
</p>

<p>
<strong>Fig. 10</strong><br>
Data: <code>extractedData_SlopeDecline_tau*.csv</code><br>
Script: <code>scatterData2CSV_SlopeDecline_tau.m</code>
</p>

<p>
<strong>Fig. 11</strong><br>
Data: <code>extractedData_HeightEvolution_ID*.csv</code><br>
Script:<br>
<code>Plot_global_MinMax.m</code><br>
<code>plotMinMaxWithStd_V6_DaRUS.m</code>
</p>

<h2>Funding</h2>

<p>
This work was carried out within the project:
</p>

<p>
<strong>GRK 2160/2 – Droplet Interaction Technologies (DROPIT)</strong><br>
Project number: 270852890
</p>

<p>
Funded by the <strong>Deutsche Forschungsgemeinschaft (DFG)</strong>.
</p>