PREDICTIVE PATH MODELLING FOR UNTARGETED RIVER MONITORING source code and demonstration
收藏NIAID Data Ecosystem2026-03-14 收录
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https://data.mendeley.com/datasets/jcdxmvj76k
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资源简介：
Source code for: 'Monitoring pollution pathways in river water by predictive path modelling using untargeted GC-MS measurements'. Demonstration of the Process PLS analysis on chemical concentrations previously extracted from GC-MS measurements performed in 9 sampling sites along the river Rhine.
The raw GC-MS data were provided by RIWA-Rijn and Rijkswaterstaat.
For the original Process PLS code and demonstration, please see:
van Kollenburg, Geert; Offermans, Tim; Jansen, Jeroen; Bouman, Roel; Postma, Geert (2022), “Data, software and scripts related to the Process PLS methodology manuscript”, Mendeley Data, V6, doi: 10.17632/9x9h7fr4kn.6
创建时间：
2023-03-13
