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This experimental research data and src were used to present the multi-label classification results of UWB ranging system in the following open access article. https://doi.org/10.3390/app10113980; Appl. Sci. 2020, 10(11), 3980, MDPI.

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This experimental research data-set was used to present the multi-label classification results of UWB ranging system in our research 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.

The article was distributed under the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Therefore, the research data and src in this repository are under the same license.

CC By 4.0: https://creativecommons.org/licenses/by/4.0/

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This experimental research data and src were used to present the multi-label classification results of UWB ranging system in the following open access article. https://doi.org/10.3390/app10113980; Appl. Sci. 2020, 10(11), 3980, MDPI.

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