Data and code associated with: Steric hindrance for glyphosate adsorption to metal (hydr)oxides: a novel modelling approach for organic matter-mineral interactions

DOI:10.4121/5031018e-5d72-4757-90f0-45e0cd1fdc34.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/5031018e-5d72-4757-90f0-45e0cd1fdc34

Datacite citation style

Geysels, Bram; Groenenberg, Jan E.; Hiemstra, Tjisse; Apreza Arrieta, Héctor S.; Vermeer, Arnoldus W.P. et. al. (2025): Data and code associated with: Steric hindrance for glyphosate adsorption to metal (hydr)oxides: a novel modelling approach for organic matter-mineral interactions. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/5031018e-5d72-4757-90f0-45e0cd1fdc34.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

Experimental adsorption data of competitive glyphosate binding to goethite in the presence of humic acid, obtained by batch adsorption experiments. The data was modeled by expanding on the NOM-CD model, which makes use of the CD-MUSIC model framework, to include steric hindrance of humic acids to glyphosate sorption. This model was coined the S-NOM-CD model, and is implemented in ORCHESTRA. This dataset contains the glyphosate-humic acid competitive adsorption data, and the model files for ORCHESTRA.

History

  • 2025-10-14 first online, published, posted

Publisher

4TU.ResearchData

Format

Experimental adsorption data of competitive glyphosate binding to goethite in the presence of humic acid (.xlsx) and complete ORCHESTRA folder including executable, databases and chemistry files (.zip).

Organizations

Soil chemistry, Wageningen University and Research

DATA

Files (2)