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Dataset for "SUPER Scheme in Action: Experimental Demonstration of Red-Detuned Excitation of a Quantum Emitter"

<p>Dataset for <strong>&quot;SUPER Scheme in Action: Experimental Demonstration of Red-Detuned Excitation of a Quantum Emitter&quot;</strong>.</p> <p>This dataset contains data for <a href="https://pubs.acs.org/doi/full/10.1021/acs.nanolett.2c01783">https://pubs.acs.org/doi/full/10.1021/acs.nanolett.2c01783</a></p> <p>The data is in either <strong>.txt or .csv f</strong>ormat. The zip file&nbsp;<strong>&quot;SUPERDataset&quot;</strong>&nbsp;includes the following folders and data:</p> <ul> <li>Dataset for Figure 3(a) <ul> <li>Folder <strong>.\Figure3\Experiment</strong> <ul> <li><strong>&quot;2D_counts.txt&quot;</strong> as Z matrix of 2D map</li> <li><strong>&nbsp;&quot;delta2_vec.txt&quot;</strong> as X axis of 2D map</li> <li><strong>&quot;trans2_vec.txt&quot;</strong>&nbsp;as Y axis of 2D map</li> </ul> </li> </ul> </li> <li>Dataset for Figure 3(b) <ul> <li>&nbsp;folder <strong>.\Figure3\Theory</strong> <ul> <li><strong>&quot;2D_theory.txt&quot;</strong> as Z matrix of Theory 2D Map</li> <li><strong>&quot;delta2_vec.txt&quot;</strong> as X axis of Theory 2D Map</li> <li><strong>&quot;trans2_vec.txt&quot;</strong> as Y axis of Theory 2D Map</li> </ul> </li> </ul> </li> <li>Dateset for Figure 3(c) <ul> <li>folder <strong>.\Figure3\Experiment</strong> <ul> <li><strong>&quot;Line_cut_10p5meV.txt&quot;</strong> <strong>, &quot;Line_cut_10p6meV.txt&quot; , &quot;Line_cut_10p9meV.txt&quot;</strong> are linecuts of 2D map</li> </ul> </li> </ul> </li> <li>Dataset for Figure 4(a) <ul> <li>folder <strong>.\SUPER_vs_TPE</strong> <ul> <li><strong>&quot;SUPER.txt&quot;</strong> includes 2 columns. The first column corresponds to the power, and the second column corresponds to the counts(a.u.).</li> <li><strong>&quot;TPE.txt&quot; </strong>includes 2 columns. The first column corresponds to the power, and the second column corresponds to the counts(a.u.).</li> </ul> </li> </ul> </li> <li>Dataset for Figure 4(b) <ul> <li>Folder <strong>.\</strong> <ul> <li><strong>&quot;Spectra_SUPER_emission.txt&quot;&nbsp;</strong>includes 2 columns. The first column corresponds to the wavelenght(nm), and the second column corresponds to the counts(a.u.).</li> </ul> </li> </ul> </li> <li>Dataset for Figure (4c) <ul> <li>Folder <strong>.\</strong> <ul> <li><strong>&quot;g2_100ps.txt&quot;&nbsp;</strong>includes 2 columns. The first column corresponds to the Time(ps), and the second column corresponds to the coincidences.</li> </ul> </li> </ul> </li> <li>Dataset for Supporting Information <ul> <li><strong>&quot;Blinking-200ps-NotNormalized.txt&quot; </strong>shows the blinking data. It includes 2 columns. The first column corresponds to the Time(ps), and the second column corresponds to the coincidences.</li> <li><strong>&quot;lifetime-1ps.txt&quot;</strong>&nbsp;shows the blinking data. It includes 2 columns. The first column corresponds to the Time(ps), and the second column corresponds to the coincidences.</li> </ul> </li> </ul> <p>&nbsp;</p> <p>How to extract data:</p> <p><strong>Windows:</strong></p> <ol> <li> <p>Locate the .zip file on your computer. In this case, the zip file is named &quot;SUPERDataset&quot;.</p> </li> <li> <p>Right-click on the .zip file and select &quot;Extract All&quot; from the context menu. This will open the extraction wizard.</p> </li> </ol> <p><strong>macOS:</strong></p> <ol> <li> <p>Locate the .zip file on your computer. In this case, the zip file is named &quot;SUPERDataset&quot;.</p> </li> <li> <p>Double-click on the .zip file. macOS will automatically extract the contents of the .zip file to the same location.</p> </li> </ol> <p><strong>Linux:</strong></p> <ol> <li> <p>Open a terminal window.</p> </li> <li> <p>Navigate to the directory where the .zip file is located using the <code>cd</code> command.</p> </li> <li> <p>Run the following command to unzip the file:<br> &nbsp;</p> <pre><code class="language-bash">unzip SUPERDataset.zip</code></pre> <p>&nbsp;</p> </li> </ol>

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