Please use this identifier to cite or link to this item: https://hdl.handle.net/10953/1727
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dc.contributor.authorAriza-López, Francisco J.-
dc.contributor.authorMozas-Calvache, Antonio T.-
dc.contributor.authorUreña-Cámara, Manuel A.-
dc.contributor.authorGil de la Vega, Paula-
dc.date.accessioned2024-01-29T08:44:36Z-
dc.date.available2024-01-29T08:44:36Z-
dc.date.issued2019-
dc.identifier.issn2052-4463es_ES
dc.identifier.otherhttps://doi.org/10.1038/s41597-019-0147-xes_ES
dc.identifier.urihttps://www.nature.com/articles/s41597-019-0147-xes_ES
dc.identifier.urihttps://hdl.handle.net/10953/1727-
dc.descriptionOpen 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.abstractWe 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.sponsorshipThe 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.language.isoenges_ES
dc.publisherNature Researches_ES
dc.relation.ispartofScientific Data 2019; 6: 142es_ES
dc.rightsAtribución-NoComercial 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/es/*
dc.subjecttime series designes_ES
dc.subjectrepeated measure designes_ES
dc.subjectdata collection and processing objectivees_ES
dc.subjectmodeling and simulation objectivees_ES
dc.titleDataset of three-dimensional traces of roadses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.type.versioninfo:eu-repo/semantics/acceptedVersiones_ES
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