Natural Organic Matter Compositional Data Analysis Guide

This PDF guide by Morimaru Kida, published in March 2026, outlines the application of Compositional Data Analysis (CoDa) to natural organic matter research. It uses ultrahigh-resolution mass spectrometry data as an example to demonstrate methods for analyzing data from mass spectrometry, fluorescence spectroscopy, and nuclear magnetic resonance spectroscopy.

Use Cases

• Apply CoDa techniques to mass spectrometry data to prevent spurious statistical results from compositional NOM data.
• Use fluorescence spectroscopy data within a CoDa framework to analyze ratios between organic matter components.
• Process nuclear magnetic resonance spectroscopy data as compositional arrays to extract relevant information from component ratios.
• Follow the step-by-step guide to integrate CoDa analysis into NOM research workflows for more reliable inferences.

Strengths

• The guide is published under a permissive CC BY 4.0 license.
• It focuses on a specific and relevant analytical gap: the limited adoption of CoDa in NOM research.
• The content is recent, with a last update date of March 2026.

Limitations

• The primary content is a methodological guide (PDF), not a dataset with rows or columns for direct analysis.
• The file size is only 79.9 KB, indicating it contains textual guidance rather than substantial data.
• No sample data or column definitions are provided for users to apply the methods without sourcing their own data.

Provenance

Source

figshare

Collection Method

Authored guide and tutorial.

Freshness

Last updated March 2026.