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University of North Carolina-Chapel Hill: Dataset Details, ID=doi: 10.1016/j.dib.2022.108538

Superfund Research Program

Novel Filtration Devices for Arsenic Reduction

Project Leader: Orlando Coronell Nieto
Co-Investigators: Cass T. Miller, Mustapha Soukri (RTI International), Haibo Zhou
Grant Number: P42ES031007
Funding Period: 2020-2025
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Title: Dataset of reverse osmosis membrane transport properties calculated with and without assumptions about concentration polarization and solute rejection and the errors associated with each assumption

Accession Number: doi: 10.1016/j.dib.2022.108538

Link to Dataset: https://doi.org/10.1016/j.dib.2022.108538

Repository: Other Repository

Publication(s) associated with this dataset:
  • Armstrong MD, Vickers R, Coronell Nieto O. 2022. Dataset of reverse osmosis membrane transport properties calculated with and without assumptions about concentration polarization and solute rejection and the errors associated with each assumption. Data Brief 44:108538. doi:10.1016/j.dib.2022.108538 PMID:36060824 PMCID:PMC9436753
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Last Reviewed: April 09, 2025