Datasets obtained from the test bench. In the nomenclature of the file names, 'RS' refers to the data obtained with the Intel-RealSense D415 and 'MC3D' refers to the data obtained with the Photoneo MotionCam-3D M. The files are provided as they come directly from the 3D thermography system. They can be opened with Meshlab, CloudCompare, or similar software programs. Each file contains a header like the following: ply format binary_little_endian 1.0 element vertex ## property float x property float y property float z property uchar red property uchar green property uchar blue property float nx property float ny property float nz property uchar tred property uchar tgreen property uchar tblue property float radius end_header For inspecting the point clouds texturized with the temperature values, please remove the 't' on the three lower property uchar labels and a 'c' before 'red', 'green' and 'blue' on the three first labels. The file should look like this: ply format binary_little_endian 1.0 element vertex ## property float x property float y property float z property uchar cred property uchar cgreen property uchar cblue property float nx property float ny property float nz property uchar red property uchar green property uchar blue property float radius end_header Please edit the files with vim, nano, or similar applications. The 3D-Thermograms have been processed with the following code: https://github.com/MT-MRT/JSSS-3DTS.git Further information about the 3D thermography systems, please refer to: Schramm, Sebastian & Osterhold, Phil & Schmoll, Robert & Kroll, Andreas. (2020). Generation of Large-Scale 3D Thermograms in Real-Time Using Depth and Infrared Cameras. 10.21611/qirt.2020.008. Müller Ordóñez, Antonio Rafael. (2019). Close range 3D thermography: real-time reconstruction of high fidelity 3D thermograms.