Figure reproduction for "Accelerating small angle scattering experiments on anisotropic samples using kernel density estimation"

These datasets and a Jupyter notebook reproduce figures in a publication by Saito et al in Scientific Reports. The notebook also serves as a demo for kernel density estimation (smoothing) of 2D data using Python. Details are described in the notebook. If you have no idea about ipynb format, please see HTML version with your web browser instead. It contains exactly the same codes and results as ipynb version.