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Data on methane concentration collected by underground coal mine sensors

Coal mining requires working in hazardous conditions. Miners in an underground coal mine can face several threats, such as, e.g. methane explosions. To provide protection for people working underground, systems for active monitoring of production processes are typically used. One of their fundamenta...

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Detalles Bibliográficos
Autores principales: Kozielski, Michał, Sikora, Marek, Wróbel, Łukasz
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526955/
https://www.ncbi.nlm.nih.gov/pubmed/34703852
http://dx.doi.org/10.1016/j.dib.2021.107457
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author Kozielski, Michał
Sikora, Marek
Wróbel, Łukasz
author_facet Kozielski, Michał
Sikora, Marek
Wróbel, Łukasz
author_sort Kozielski, Michał
collection PubMed
description Coal mining requires working in hazardous conditions. Miners in an underground coal mine can face several threats, such as, e.g. methane explosions. To provide protection for people working underground, systems for active monitoring of production processes are typically used. One of their fundamental applications is screening dangerous gas concentrations (methane in particular) to prevent spontaneous explosions. Such a system is the source of the data set containing raw data collected at an underground coal mine. The data is collected from 28 different sensors placed at various locations around the coal mine. All the attributes except one are numeric, and the examples collected form a time series. This data set can be used in a variety of analytical tasks, including classification, regression, time series and stream data analysis.
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spelling pubmed-85269552021-10-25 Data on methane concentration collected by underground coal mine sensors Kozielski, Michał Sikora, Marek Wróbel, Łukasz Data Brief Data Article Coal mining requires working in hazardous conditions. Miners in an underground coal mine can face several threats, such as, e.g. methane explosions. To provide protection for people working underground, systems for active monitoring of production processes are typically used. One of their fundamental applications is screening dangerous gas concentrations (methane in particular) to prevent spontaneous explosions. Such a system is the source of the data set containing raw data collected at an underground coal mine. The data is collected from 28 different sensors placed at various locations around the coal mine. All the attributes except one are numeric, and the examples collected form a time series. This data set can be used in a variety of analytical tasks, including classification, regression, time series and stream data analysis. Elsevier 2021-10-11 /pmc/articles/PMC8526955/ /pubmed/34703852 http://dx.doi.org/10.1016/j.dib.2021.107457 Text en © 2021 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Kozielski, Michał
Sikora, Marek
Wróbel, Łukasz
Data on methane concentration collected by underground coal mine sensors
title Data on methane concentration collected by underground coal mine sensors
title_full Data on methane concentration collected by underground coal mine sensors
title_fullStr Data on methane concentration collected by underground coal mine sensors
title_full_unstemmed Data on methane concentration collected by underground coal mine sensors
title_short Data on methane concentration collected by underground coal mine sensors
title_sort data on methane concentration collected by underground coal mine sensors
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8526955/
https://www.ncbi.nlm.nih.gov/pubmed/34703852
http://dx.doi.org/10.1016/j.dib.2021.107457
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