Data and code for "Design and evaluation of a low-cost sensor node for near-background methane measurement"
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2022-07
2023-05
2023-05
Date completed
2023-11
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Title
Data and code for "Design and evaluation of a low-cost sensor node for near-background methane measurement"
Published Date
2023-11-20
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Author Contact
Furuta, Daniel CR
furut011@umn.edu
furut011@umn.edu
Type
Dataset
Field Study Data
Programming Software Code
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.
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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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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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outside_cleaned.csv
Outside dataset
(2.4 MB)
inside_cleaned.csv
Inside dataset
(2.64 MB)
paper_analysis.py
Analysis code in Python 3
(40.52 KB)
requirements.txt
List of required packages to run paper_analysis.py
(363 B)
Furuta_Readme_2023.txt
Description of the data
(6.9 KB)
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