Benchmark classification dataset for laser-induced breakdown spectroscopy

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dc.contributor.authorKépeš, Erikcs
dc.contributor.authorVrábel, Jakubcs
dc.contributor.authorStřítežská, Sáracs
dc.contributor.authorPořízka, Pavelcs
dc.contributor.authorKaiser, Jozefcs
dc.coverage.issue1cs
dc.coverage.volume7cs
dc.date.accessioned2020-08-04T11:57:58Z
dc.date.available2020-08-04T11:57:58Z
dc.date.issued2020-02-13cs
dc.description.abstractIn this work, we present an extensive dataset of laser-induced breakdown spectroscopy (LIBS) spectra for the pre-training and evaluation of LIBS classification models. LIBS is a well-established spectroscopic method for in-situ and industrial applications, where LIBS is primarily applied for clustering and classification tasks. As such, our dataset is aimed at helping with the development and testing of classification and clustering methodologies. Moreover, the dataset could be used to pre-train classification models for applications where the amount of available data is limited. The dataset consists of LIBS spectra of 138 soil samples belonging to 12 distinct classes. The spectra were acquired with a state-of-the-art LIBS system. Lastly, the composition of each sample is also provided, including estimated uncertainties.en
dc.formattextcs
dc.format.extent1-4cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationScientific data. 2020, vol. 7, issue 1, p. 1-4.en
dc.identifier.doi10.1038/s41597-020-0396-8cs
dc.identifier.issn2052-4463cs
dc.identifier.other161721cs
dc.identifier.urihttp://hdl.handle.net/11012/188045
dc.language.isoencs
dc.publisherSpringer Naturecs
dc.relation.ispartofScientific datacs
dc.relation.urihttps://www.nature.com/articles/s41597-020-0396-8cs
dc.rightsCreative Commons Attribution 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2052-4463/cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjectlaser-induced breakdown spectroscpoyen
dc.subjectsoil samplesen
dc.subjectbenchmarken
dc.subjectclassificationen
dc.titleBenchmark classification dataset for laser-induced breakdown spectroscopyen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-161721en
sync.item.dbtypeVAVen
sync.item.insts2021.03.20 16:54:24en
sync.item.modts2021.03.20 16:14:01en
thesis.grantorVysoké učení technické v Brně. Středoevropský technologický institut VUT. Charakterizace materiálů a pokročilé povlaky 1-06cs
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