Post-Analysis of siMPle Outputs: siMPleR

D.J.J. Walvoort; Willem M.G.M. van Loon

Post-Analysis of siMPle Outputs: siMPleR

D.J.J. Walvoort, Willem M.G.M. van Loon

Soil, Water and Land Use

Research output: Non-textual form › Software

Abstract

The siMPle FTIR data analysis software produces files with many microplastic records. Reporting of results and optimization experiments may require the processing of a substantial amount of data files. To make the data analysis of these result files correct, efficient, transparent and reproducible, a data analysis script is highly needed for microplastic monitoring and data analysis. This repository contains the R-package siMPleR that serves these needs.

Original language	English
Publisher	Wageningen University & Research
Publication status	Published - 29 May 2025

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https://git.wur.nl/Walvo001/simplerLicence: MIT

Cite this

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title = "Post-Analysis of siMPle Outputs: siMPleR",

abstract = "The siMPle FTIR data analysis software produces files with many microplastic records. Reporting of results and optimization experiments may require the processing of a substantial amount of data files. To make the data analysis of these result files correct, efficient, transparent and reproducible, a data analysis script is highly needed for microplastic monitoring and data analysis. This repository contains the R-package siMPleR that serves these needs.",

author = "D.J.J. Walvoort and {van Loon}, {Willem M.G.M.}",

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N2 - The siMPle FTIR data analysis software produces files with many microplastic records. Reporting of results and optimization experiments may require the processing of a substantial amount of data files. To make the data analysis of these result files correct, efficient, transparent and reproducible, a data analysis script is highly needed for microplastic monitoring and data analysis. This repository contains the R-package siMPleR that serves these needs.

AB - The siMPle FTIR data analysis software produces files with many microplastic records. Reporting of results and optimization experiments may require the processing of a substantial amount of data files. To make the data analysis of these result files correct, efficient, transparent and reproducible, a data analysis script is highly needed for microplastic monitoring and data analysis. This repository contains the R-package siMPleR that serves these needs.

M3 - Software

PB - Wageningen University & Research

ER -

Post-Analysis of siMPle Outputs: siMPleR

Abstract

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