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Related Experiment Video

Updated: Jan 16, 2026

Shotgun Proteomics Sample Processing Automated by an Open-Source Lab Robot

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Sensortoolkit-A Python Library for Standardizing the Ingestion, Analysis, and Reporting of Air Sensor Data for

Menaka Kumar¹, Samuel G Frederick¹, Karoline K Barkjohn²

¹Former Oak Ridge Associated Universities (ORAU), Contractor to the U.S. Environmental Protection Agency Through the National Student Services Contract, 100 ORAU Way, Oak Ridge, TN 37830, USA.

Sensors (Basel, Switzerland)

|September 27, 2025

Summary

A new open-source Python tool, sensortoolkit, simplifies air sensor performance evaluation. It standardizes data, calculates key metrics, and generates reports to improve data quality for particulate matter and gas sensors.

Keywords:

Python accuracy air sensor collocation data analysis data visualization evaluation open-source software performance

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Last Updated: Jan 16, 2026

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Area of Science:

Environmental Science
Data Science
Air Quality Monitoring

Background:

Limited availability of open-source software for air sensor performance evaluation.
Existing tools lack standardized statistical metrics and data format handling for diverse air sensors.
Need for accessible tools to implement U.S. EPA's recommended performance evaluation protocols.

Purpose of the Study:

Introduce sensortoolkit v1.1.0, a free, open-source Python library for air sensor evaluation.
Facilitate the use of U.S. EPA's performance evaluation protocols for particulate matter and gas sensors.
Provide a standardized method for comparing air sensor data against reference monitors.

Main Methods:

Developed sensortoolkit as a Python library (v3.8.20).
Implemented an interactive setup module for data reformatting.
Included procedures for calculating performance metrics (R², slope, intercept, RMSE) and generating plots.

Main Results:

Sensortoolkit enables standardized comparison of air sensor data with reference monitors.
Calculated metrics and visualizations assess sensor accuracy, precision, and meteorological influences at 1-h and 24-h averages.
A reporting template facilitates easy comparison of sensor performance results across organizations.

Conclusions:

Sensortoolkit addresses the need for a comprehensive, open-source tool for air sensor performance evaluation.
The library promotes consistent application of U.S. EPA protocols.
Case study demonstrates sensortoolkit's utility in understanding and reporting air sensor performance.