Subject	Filtration and separation
Specific subject area	Electrodialysis fouling
Type of data	Tables Code
How data were acquired	The data consist of time series of an electrodialysis pilot installation that processes a sodium chloride solution with humic acid and is subject to fouling. Each of the experiments is performed at a different crossflow velocity, applied current and the salt concentration in the fouling solution, following an experimental design. Different inline sensors monitor the state of the ED pilot; • Electric potential (M 3000 - Delta electronika, the Netherlands) • Conductivity & temperature (Indumax CLS50D - Endress + Hauser, USA) • Flow rate (Promag 55S DN15 - Endress + Hauser, USA) • pH (Orbisint CPS11D - Endress + Hauser, USA) • Pressure (Cerabar MPMC51 – Endress + Hauser, USA) The data acquisition and control is handled by Mefias®, a LabVIEW-based control software (VITO, Belgium).
Data format	Raw Filtered
Parameters for data collection	Ambient temperature (measured), Data acquired with a sampling period of 15 seconds for all sensors.
Data source location	Flemish institution of technological research (VITO), Mol, Belgium
Data accessibility	Repository name: A dataset on ion-exchange membrane fouling by humic acid during electrodialysis Data identification number: 10.5281/zenodo.3551928 Direct URL to data: http://doi.org/10.5281/zenodo.3551928 The code used to process and analyse this dataset is published on Github: https://github.com/Beramos/Data-on-ion-exchange-membrane-fouling-by-humic-acid-during-electrodialysis
Related research article	Bram De Jaegher, Wim De Schepper, Arne Verliefde, Ingmar Nopens, Colloidal fouling in electrodialysis: a neural differential equations model, Desalination, In Press