Data and code for "Design and evaluation of a low-cost sensor node for near-background methane measurement"

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Persistent link to this item

https://doi.org/10.13020/CDVH-E012
https://hdl.handle.net/11299/258238

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Keywords

methane

sensor calibration

metal oxide semiconductor sensors

air pollution

Collection period

2022-07
2023-05

Date completed

2023-11

Date updated

Time period coverage

Geographic coverage

Source information

Journal Title

Journal ISSN

Volume Title

Title

Data and code for "Design and evaluation of a low-cost sensor node for near-background methane measurement"

Published Date

2023-11-20

Authors

Furuta, Daniel CR

Wilson, Bruce N

Presto, Albert

Li, Jiayu

Group

Author Contact

Furuta, Daniel CR
furut011@umn.edu

Type

Dataset
Field Study Data
Programming Software Code

Abstract

Cleaned data and supporting code for "Design and evaluation of a low-cost sensor node for near-background methane measurement". The data was collected at two research sites in 2022 and 2023, and the analysis code was used to generate the model and figures in the paper.

Description

See included readme.

Referenced by

Related to

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License

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

Publisher

Collections

Data Repository for U of M (DRUM)

Funding information

This research has been supported by funding from the U.S. Environmental Protection Agency's Understanding and Control of Municipal Solid Waste Landfill Air Emissions program (Assistance Agreement No. 84062701-0). This research has been supported by the National Energy Technology Laboratory (grant no. S000663-USDOE).

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Previously Published Citation

Suggested citation

Furuta, Daniel CR; Wilson, Bruce N; Presto, Albert; Li, Jiayu. (2023). Data and code for "Design and evaluation of a low-cost sensor node for near-background methane measurement". Retrieved from the Data Repository for the University of Minnesota (DRUM), https://doi.org/10.13020/CDVH-E012.

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