Detail publikace

Benchmark classification dataset for laser-induced breakdown spectroscopy

KÉPEŠ, E. VRÁBEL, J. STŘÍTEŽSKÁ, S. POŘÍZKA, P. KAISER, J.

Originální název

Benchmark classification dataset for laser-induced breakdown spectroscopy

Typ

článek v časopise ve Scopus, Jsc

Jazyk

angličtina

Originální abstrakt

In 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.

Klíčová slova

laser-induced breakdown spectroscpoy, soil samples, benchmark, classification

Autoři

KÉPEŠ, E.; VRÁBEL, J.; STŘÍTEŽSKÁ, S.; POŘÍZKA, P.; KAISER, J.

Vydáno

13. 2. 2020

Nakladatel

Springer Nature

ISSN

2052-4463

Periodikum

Scientific data

Ročník

7

Číslo

1

Stát

Spojené království Velké Británie a Severního Irska

Strany od

1

Strany do

4

Strany počet

4

URL

Plný text v Digitální knihovně

BibTex

@article{BUT161721,
  author="Erik {Képeš} and Jakub {Vrábel} and Sára {Střítežská} and Pavel {Pořízka} and Jozef {Kaiser}",
  title="Benchmark classification dataset for laser-induced breakdown
spectroscopy",
  journal="Scientific data",
  year="2020",
  volume="7",
  number="1",
  pages="1--4",
  doi="10.1038/s41597-020-0396-8",
  issn="2052-4463",
  url="https://www.nature.com/articles/s41597-020-0396-8"
}