Data underlying the publication: "The contribution of deeper layers in slow sand filters to pathogens removal"

DOI:10.4121/a7491f03-672f-4991-9d8d-6158420faaf7.v1
The DOI displayed above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
DOI: 10.4121/a7491f03-672f-4991-9d8d-6158420faaf7

Datacite citation style

Trikannad, Shreya (2024): Data underlying the publication: "The contribution of deeper layers in slow sand filters to pathogens removal". Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/a7491f03-672f-4991-9d8d-6158420faaf7.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite

Dataset

This dataset contains all the data, processing and plots for the research in the paper: The contribution of deeper layers in slow sand filters to pathogens removal. This work investigates the pathogenic bacteria and virus removal capacity of different depths of full-scale slow sand filters.

History

  • 2024-04-23 first online, published, posted

Publisher

4TU.ResearchData

Format

Excel file (*.xlsx)

Funding

  • NWO, Sustainable Water Technology Call 2018 (grant code ALWET.2019.003) NWO

Organizations

TU Delft, Faculty of Civil Engineering and Geosciences, Department of Water Management

DATA

Files (2)