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 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)