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Multi-sensor dataset for normal air, Methyl Mercaptan and Hydrogen Sulfide gas classification
Mid Sweden University, Faculty of Science, Technology and Media, Department of Computer and Electrical Engineering (2023-).ORCID iD: 0000-0002-8776-2985
Responsible organisation
2023 (English)Data set, Aggregated data
Physical description [en]

The dataset comprises time-series data collected by four sensors, which measure two target gases, Hydrogen Sulfide (H2S) and Methyl Mercaptan (CH3SH) in the presence of air. To obtain measurements, each gas was individually exposed to the multi-sensor setup, while maintaining room temperature. Table 2 in the description file presents the distribution of data samples for the target gases collected from the multi-sensor system against the true gas concentration in parts per million (ppm) at two different humidity levels. The dataset file is available in CSV format and contains 9 columns with a total of  654440x4 gas samples. The CSV file also includes additional information on temperature, humidity, and true concentrations of Hydrogen Sulfide and Methyl Mercaptan. Out of the 654440x4 samples, there are 151682x4 samples of Methyl Mercaptan, 126142x4 samples of Hydrogen Sulfide, and the remaining samples are normal air samples.

Abstract [en]

The dataset includes time-series data collected by four different sensors, which measure two target gases, Hydrogen Sulfide and Methyl Mercaptan, in the presence of air. To obtain measurements, each gas was individually exposed to the multi-sensor setup while in the presence of air. The dataset is particularly useful for gas classification tasks, as deep learning and data fusion techniques can be applied to identify the target gases.

Place, publisher, year
2023.
Version
1.0
Keywords [en]
Gas classification, Hydrogen Sulfide, Methyl Mercaptan, Deep learning, Multi sensor, Data fusion
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:miun:diva-48094OAI: oai:DiVA.org:miun-48094DiVA, id: diva2:1749374
Available from: 2023-04-06 Created: 2023-04-06 Last updated: 2023-04-12Bibliographically approved

Open Access in DiVA

Multi_Gas_Dataset(28487 kB)250 downloadsDescription of content
File information
File name DATASET01.csvFile size 28487 kBChecksum SHA-512Description The dataset file comprises nine columns, with the first column representing time in seconds. The following four columns contain sensor responses to the exposed target gases (Hydrogen Sulfide and Methyl Mercaptan) in the presence of air. The fifth and sixth columns contain information on relative humidity and temperature, respectively. The seventh column displays the true gas concentration, while the final column indicates the class labels. The class labels are represented as [0] for air, [1] for Methyl Mercaptan, and [2] for Hydrogen Sulfide.
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Type datasetMimetype text/csv
Dataset Description(206 kB)50 downloadsDescription of content
File information
File name SUMMARY01.pdfFile size 206 kBChecksum SHA-512Description The description file provides information on how the dataset is built, including the names and order of the columns in the CSV dataset, as well as the number of sample points representing the multi-sensor response to different target gas concentrations.
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Type summaryMimetype application/pdf

Authority records

Hussain, Mazhar

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf