Ariza-López, Francisco JavierMozas, Antonio TomásUreña, Manuel AntonioGil-de-la-Vega, Paula2024-01-292024-01-2920192052-4463https://doi.org/10.1038/s41597-019-0147-xhttps://www.nature.com/articles/s41597-019-0147-xhttps://hdl.handle.net/10953/1727Open Access: This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article.We present a dataset consisting of three-dimensional traces, captured by Global Navigation Satellite System techniques with three-dimensional coordinates. It offers 138 traces (69 going and 69 returning), in addition to the actual mean axis of the road determined by precise surveying techniques to be used as ground truth for research activities. These data may serve as a test bed for research on data mining applications related to Global Navigation Satellite System multitraces, particularly the development and testing of algorithms intended for mining mean axis data from road multitraces. The data are suitable for the statistical analysis of both single-trace and multitrace datasets (e.g., outliers and biases).engAtribución-NoComercial 3.0 Españahttp://creativecommons.org/licenses/by-nc/3.0/es/Time series designRepeated measure designData collection and processing objectiveModeling and simulation objectiveinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccess