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TEnvR: MATLAB-based toolbox for environmental research.

Aleksandar I Goranov¹, Rachel L Sleighter^1,2, Dobromir A Yordanov³

¹Department of Chemistry and Biochemistry, Old Dominion University, 4501 Elkhorn Avenue, Norfolk, VA 23529, USA. aleksandar.i.goranov@gmail.com.

Analytical Methods : Advancing Methods and Applications

|October 9, 2023

Summary

This summary is machine-generated.

Scientists can now analyze large environmental datasets faster using TEnvR, a new MATLAB toolbox. This tool automates complex data processing and statistical analysis, improving research efficiency.

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Area of Science:

Environmental Science
Computational Chemistry
Data Science

Background:

Increasingly large and complex scientific datasets necessitate advanced computational tools.
Existing methods for environmental data analysis can be time-consuming and require significant manual input.

Purpose of the Study:

Introduce TEnvR (Toolbox for Environmental Research), a MATLAB-based software package.
Provide a comprehensive suite of open-source codes for efficient environmental data processing and multivariate statistical analysis.

Main Methods:

Development of 44 open-source MATLAB codes within the TEnvR toolbox.
Integration of functionalities for spectral data processing (UV-Vis, fluorescence, NMR), ultrahigh resolution mass spectrometry, data visualization, and statistical analysis.
Inclusion of automated workflows for large dataset management.

Main Results:

TEnvR offers automated data analysis, reducing manual user intervention.
The toolbox supports diverse environmental data types and analytical techniques.
User-friendly interface and comprehensive tutorial facilitate adoption by researchers with minimal MATLAB experience.

Conclusions:

TEnvR provides an efficient, novice-friendly solution for environmental data analysis.
The toolbox enhances research productivity by automating complex computational tasks.
Annual updates ensure TEnvR remains current with advancements in environmental computational work.