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

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.

本数据集为通过批量吸附实验获取的腐殖酸（humic acid）存在下草甘膦（glyphosate）与针铁矿（goethite）竞争性结合的吸附实验数据。本数据集基于NOM-CD模型（NOM-CD model）进行拓展建模：该建模方法依托CD-MUSIC模型（CD-MUSIC model）框架，纳入了腐殖酸对草甘膦吸附的空间位阻效应。该拓展模型被命名为S-NOM-CD模型，并已在ORCHESTRA平台中实现。本数据集包含草甘膦-腐殖酸竞争性吸附数据以及适用于ORCHESTRA的模型文件。