Dissolved organic matter is an important component of the global carbon cycle that allows the distribution of carbon and nutrients. Therefore, analysis of soil dissolved organic matter helps us to better understand climate change impacts as it is the most dynamic and reactive fraction in terrestrial ecosystems. Its characterization at the molecular level is still challenging due to complex mixtures of hundreds of compounds at low concentration levels in percolating water. This work presents simple methods, such as thermochemolysis– or derivatization–gas chromatography, as an alternative for the analysis of fatty acids in dissolved organic matter without any purification step. The variables of the protocols were examined to optimize the processing conditions for the C₉–C₁₈ range. As a proof of concept, fatty acid distributions of soil percolating water samples from a long-term field experiment were successfully assessed. The variability of dissolved organic acid distributions was pronounced through depth profile and soil treatment but no major change in composition was observed. However, although the optimization was done from C₉ to C₁₈, detection within the C₆-C₃₂ fatty acids range was performed for all samples.

The data presented here are related to the research paper entitled "Spectral characteristics of soil dissolved organic matter: long-term effects of exogenous organic matter on soil organic matter and spatial-temporal changes" (Musadji et al., 2020). Fluorescence Excitation-Emission Matrixes and DOC content of 39 suction cup soil solutions are given for a control and an urban green waste compost amended soil sampled in spring and autumn. Principal component analysis (PCA) was used to identify possible spatial-temporal trends and to emphasize the long term effect of organic amendment on soil organic matter quality.