There are five .rar files, corresponding to Figure 1 to Figure 5. Please unzip to access the dataset. In each figure folder, there are subfolders (named as “A”, “B”, “C”, …) that contain data of each subfigure, namely Figure 1A, Figure 1B, etc... There are four types of data format, namely vtk, xlsx, mat, and opju. Here is a detailed guidance on how to utilize/access these four different types of data format. (1) For vtk files, use the Paraview software (https://www.paraview.org/). Paraview is an open source software free to download. A simple tutorial is also available on the website. With the paraview installed and opened, simply drag vtk file to the paraview, and the software will display the 3D information stored in the vtk file. (2) For xlsx file, use the Microsoft Excel software (https://www.microsoft.com/en-gb/microsoft-365/excel). The software is also free to use. Once open, the names of the columns and rows in the xlsx file clearly indicates the information as they correspond to the figure caption. The files contain 2D data for all the line plots and point plots in the figures. (3) For mat file, use the Matlab software (https://ww2.mathworks.cn/products/matlab.html). Matlab is widely available from different sources. The mat files are accessible for Matlab version after 2016. Similar to xlsx files, the names of the columns and rows in the mat file clearly indicates the information as they correspond to the figure caption. The files contain 2D data for all the line plots and point plots in the figures. (4) For opju file, use Origin software (https://www.originlab.com/). The software is widely available from different sources. Any version after 2018 will work. Similar to xlsx and mat files, the names of the columns and rows in the opju file clearly indicates the information as they correspond to the figure caption. The files contain 2D data for all the line plots and point plots in the figures. Additionally, the opju file contains the 2D plots generated from the data, same as those appeared in the figures. Readers are recommended to read the paper thoroughly before looking into this dataset.