This experimental research data-set was used to present the multi-label classification results of UWB ranging system in our journal article entitled “Identification of NLOS and Multi-path Conditions in UWB Localization using Machine Learning Methods”. The research data includes the extracted features of UWB experimental data including their respective labels and the corresponding source code for the python machine learning library scikit-learn. The article was published in the special issue entitled “Recent Advances in Indoor Localization Systems and Technologies” at computing and artificial intelligence section, applied sciences journal, MDPI.

This data set was used to present the experimental results in our paper entitled Numerical and Experimental Evaluation of Error Estimation for Two-Way Ranging Methods.

The contents of this publication are intended for providing additional supplementary materials, i.e. proofs of formula derivations, presented in our paper entitled "An Analytical Study of Time of Flight Error Estimation in Two-Way Ranging Methods". The mentioned paper was submitted to ``Ninth International Conference on Indoor Positioning and Indoor Navigation (IPIN) 2018}'', which will be held in Nantes, France on September 24-27, 2018.