Dataset of three-dimensional traces of roads

Ariza-López, Francisco Javier; Mozas, Antonio Tomás; Ureña, Manuel Antonio; Gil-de-la-Vega, Paula

Dataset of three-dimensional traces of roads

dc.contributor.author	Ariza-López, Francisco Javier
dc.contributor.author	Mozas, Antonio Tomás
dc.contributor.author	Ureña, Manuel Antonio
dc.contributor.author	Gil-de-la-Vega, Paula
dc.date.accessioned	2024-01-29T08:44:36Z
dc.date.available	2024-01-29T08:44:36Z
dc.date.issued	2019
dc.description	Open 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.	es_ES
dc.description.abstract	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).	es_ES
dc.description.sponsorship	The work was supported by the National Ministry of Economy and Competitiveness of Spain under Grant No. BIA2011-23271. The authors also acknowledge the Regional Government of Andalusia (Spain) for the financial support offered since 1997 to their research group (Ingeniería Cartográfica) under code PAIDE-TEP-164. The University of Jaén contributed the funds for the open publication of this work.	es_ES
dc.identifier.issn	2052-4463	es_ES
dc.identifier.other	https://doi.org/10.1038/s41597-019-0147-x	es_ES
dc.identifier.uri	https://www.nature.com/articles/s41597-019-0147-x	es_ES
dc.identifier.uri	https://hdl.handle.net/10953/1727
dc.language.iso	eng	es_ES
dc.publisher	Nature Research	es_ES
dc.relation.ispartof	Scientific Data 2019; 6: 142	es_ES
dc.rights	Atribución-NoComercial 3.0 España	*
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es_ES
dc.rights.uri	http://creativecommons.org/licenses/by-nc/3.0/es/	*
dc.subject	Time series design	es_ES
dc.subject	Repeated measure design	es_ES
dc.subject	Data collection and processing objective	es_ES
dc.subject	Modeling and simulation objective	es_ES
dc.title	Dataset of three-dimensional traces of roads	es_ES
dc.type	info:eu-repo/semantics/article	es_ES
dc.type.version	info:eu-repo/semantics/acceptedVersion	es_ES