Between Dec 19, 2024 and Jan 2, 2025, datasets can be submitted to DRUM but will not be processed until after the break. Staff will not be available to answer email during this period, and will not be able to provide DOIs until after Jan 2. If you are in need of a DOI during this period, consider Dryad or OpenICPSR. Submission responses to the UDC may also be delayed during this time.
 

Dataset for "Characterization of inexpensive MOx sensor performance for trace methane detection"

Furuta, Daniel
Sayahi, Tofigh
Li, Jinsheng
Wilson, Bruce
Presto, Albert
Li, Jiayu
2022-03-23
Thumbnail Image

Persistent link to this item

https://doi.org/10.13020/13xf-nw93
 https://hdl.handle.net/11299/226714
Statistics
View Statistics

Keywords

Collection period

2021-07-21
2021-07-31

Date completed

2022-03-03

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Dataset for "Characterization of inexpensive MOx sensor performance for trace methane detection"

Published Date

2022-03-23

Authors

Group

University of Minnesota BBE Air and Aerosol Sensing Group

Author Contact

Li, Jiayu
lijiayu@umn.edu

Type

Dataset
Experimental Data

Abstract

Laboratory calibration data for three replicates each of five types of inexpensive methane sensors in support of a study characterizing sensor suitability for atmospheric monitoring, with particular attention to sensitivity to humidity and temperature. Sensor performance from ambient levels to 10ppm was characterized with decaying methane pulses at five different temperatures. Methane, water vapor levels, and temperature were monitored with reference instruments.

Description

A csv file with methane, temperature and humidity measurements, and the responses of fifteen inexpensive MOx sensors.

Referenced by

Related to

Replaces

item.page.isreplacedby

License

CC0 1.0 Universal
 http://creativecommons.org/publicdomain/zero/1.0/

Publisher

Collections

Data Repository for U of M (DRUM)

Funding information

This work was funded by the US Department of Energy through the University Coalition for Fossil Energy Research (Grant S000663-USDOE).

item.page.sponsorshipfunderid

item.page.sponsorshipfundingagency

item.page.sponsorshipgrant

Previously Published Citation

Other identifiers

Suggested citation

Furuta, Daniel; Sayahi, Tofigh; Li, Jinsheng; Wilson, Bruce; Presto, Albert; Li, Jiayu. (2022). Dataset for "Characterization of inexpensive MOx sensor performance for trace methane detection". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/13xf-nw93.

View/Download File

File View/Open
Description
Size
10ppm_data.csv
dataset
(4.57 MB)

README.txt
Readme
(6.12 KB)

Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.