Data and code to create figures of "Rehybridization dynamics into the pericyclic minimum of an electrocyclic reaction imaged in real-time"
<p>Instruction of making Fig 4 in the main text:<br> 04/07/2023, SLAC, CA<br> Yusong (Liu), on behalf of Thomas (Wolf)</p> <p>1. Making Figure 1:<br> Figure 1 is fully vectorized with file 'Figure-1.svg', also saved in a png version, 'Figure-1.png'</p> <p>2. Making Figure 2:<br> The data plots in panels a and b are produced from a Matlab script: 'MakingFig2MainText.m'<br> This script loads data saved in 'TerpNatCommFig2.mat' and produce several files if using the saving condition:<br> 'PDFStaticTwoDelaysExpSim_22.fig'<br> 'PDFStaticTwoDelaysExpSim_22.png'<br> 'PDFStaticTwoDelaysExpSim_22.svg'<br> The final Figure 2, 'Figure-2.svg', then was assembled using 'PDFStaticTwoDelaysExpSim_22.svg' and 'Molskeleton.svg'.</p> <p>3. Making Figure 3:<br> The data plots in panels a, b, and c are produced from a Matlab script: 'MakingFig3MainText.m'<br> This script loads data saved in 'TerpNatCommFig3.mat' and produce several files if using the saving condition:<br> 'Fig3PDFFalseCMapLineOutExpSim_V10.fig'<br> 'Fig3PDFFalseCMapLineOutExpSim_V10.png'<br> 'Fig3PDFFalseCMapLineOutExpSim_V10.svg'<br> The final Figure 3, 'Figure-3.svg', then was assembled using 'Fig3PDFFalseCMapLineOutExpSim_V10.svg' and 'MolCartoonsFig3.svg'.</p> <p>4. Making Figure 4:<br> (1). Drawing the signal in Fig. 4 panel a<br> Fig. 4a was generated from a py script: 'MakingFig4aMainText.ipynb'<br> Run this script and it will load the data set 'MainFig4aData.npy'generate a figure showing Fig. 4a.<br> Change the figure saving condition to decide whether or not save the figure to both .svg and .png files as below:<br> 'Figure-4a.png'<br> 'Figure-4a.svg'<br> (2). Drawing the signals in Fig. 4 panels b and c<br> These two panels, the signals are drew from a Matlab script: 'MakingFig4bcMainText.m'<br> Run this script and it will load data set 'TerpNatCommFig4.mat' and plot panels b and c<br> Change the figure saving conditions to decide whether or not save to both .svg and .png files as below:<br> 'Fig4DataPanelsbc_v11.fig'<br> 'Fig4DataPanelsbc_v11.png'<br> 'Fig4DataPanelsbc_v11.svg'<br> (3). Fig 4 is then assembled with the 3 data plot panels, molecular cartoons, and equations:<br> Data plot panels:<br> 'Figure-4a.svg'<br> 'Fig4DataPanelsbc_v11.svg'<br> Molecular cartoons:<br> 'Fig4aCartoon.svg' 'Fig4bCartoon.svg' 'Fig4cCartoon.svg'<br> And equations:<br> 'Fig4bEquPhi.svg' 'Fig4cEquPsi.svg'<br> Fig 4 is fully vectorized with file: 'Figure-4.svg' and also saved as a .png version 'Figure-4.png'</p> <p>5. Making Figure-5:<br> The whole Fig. 5 is produced from a single .py script: 'MakingFig5MainText.ipynb'<br> Run the script and it will plot Figure-5. If choosing the save conditions, then it will save Figure-5 to 'Figure-5.svg' and 'Figure-5.png'.</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