Community Based Data of Uranium Adsorption onto Quartz

This data upload includes a compilation of experiments for quantifying uranium adsorption onto quartz. The provided .csv file has been compiled from the literature in a findable, accessible, interoperable, reusable (FAIR) data format. This was accomplished using the Lawrence Livermore National Laboratory Surface Complexation Database Converter (SCDC) code written in the R programming language (free licensing available at https://ipo.llnl.gov/technologies/software/llnl-surface-complexation-database-converter-scdc). This constitutes all current data compiled on uranium-quartz interactions in the L-SCIE (LLNL Surface Complexation/Ion Exchange) database (as of 02/28/2022). This data was used to develop surface complexation models that fit the global community dataset (https://doi.org/10.1021/acs.est.1c07109). The FAIR-formatted dataset also enables the implementation of alternative machine-learning approaches that can be explored in the future.本数据集上传内容包含一系列用于量化铀在石英表面吸附行为的实验汇编数据。本次提供的.csv文件从已发表文献中汇编而成，采用可发现、可访问、可互操作、可复用（FAIR，Findable, Accessible, Interoperable, Reusable）数据格式，该格式转换通过劳伦斯利弗莫尔国家实验室开发的表面络合数据库转换器（SCDC）代码完成，此代码基于R编程语言编写，其免费授权信息可通过以下链接获取：https://ipo.llnl.gov/technologies/software/llnl-surface-complexation-database-converter-scdc。截至2022年2月28日，本数据集涵盖了L-SCIE（LLNL表面络合/离子交换，LLNL Surface Complexation/Ion Exchange）数据库中目前已汇编的所有铀-石英相互作用相关数据。本数据集被用于开发适配全球社区数据集的表面络合模型，相关数据集的DOI链接为https://doi.org/10.1021/acs.est.1c07109。该FAIR格式数据集还可为未来探索各类替代机器学习方法提供实现支撑。