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Overview Research Site Status and Provenance Access and Downloads
Dataset Title
Partitioning behaviour of viruses in wastewater
Dataset DOI
https://doi.org/10.20383/102.0747
Related Paper DOIs (one per line)
http://hdl.handle.net/10012/19258 https://doi.org/10.1016/j.scitotenv.2023.165095
Abstract
Surveillance of concentrations of SARS-CoV-2 or its RNA fragments in wastewater has been an invaluable tool during the COVID-19 pandemic to support public health efforts. The dataset described here contains the data that was used to determine the partitioning behaviour of SARS-CoV-2 in municipal wastewater. In addition, the partitioning of pepper mild mottled virus (PMMoV) and two coronavirus surrogates, human coronavirus 229 and murine hepatitis virus, were also analyzed as these viruses are commonly used for either data normalization for trend analysis or as process controls. The total copies of RNA of all aforementioned viruses were compared under different centrifugal conditions with varied force and duration to assess viral partitioning. Moreover, three different ultrafiltration devices, used to measure RNA in the aqueous phase of wastewater, were analyzed. In summary, the use of different centrifugal conditions and ultrafiltration devices can affect how the partitioning behaviour of viruses in wastewater is determined. Overall, it is important to understand the fate of viruses of public health concern in wastewater to prepare for future potential infectious diseases. This dataset contains viral partitioning in municipal wastewater data used for the following thesis: Patrick Breadner (2023). The Apparent Partitioning Behaviour of SARS-CoV-2 RNA in Municipal Wastewater. UWSpace. http://hdl.handle.net/10012/19258 The dataset is a supplement to the journal article A comparative analysis of the partitioning behaviour of SARS-CoV-2 RNA in liquid and solid fractions of wastewater https://doi.org/10.1016/j.scitotenv.2023.165095
Program Affiliations
GWF: Global Water Futures
GWFO: Global Water Futures Observatories
Creators and Contributors
NameRoleEmailInstitution
Breadner, Patrick R.
University of Waterloo; Water Institute; Servos Research Group
Dhiyebi, Hadi A.
University of Waterloo; Water Institute; Servos Research Group
Srikanthan, Nivetha
University of Waterloo; Water Institute; Servos Research Group
Hayat, Samina
University of Waterloo; Water Institute; Servos Research Group
Servos, Mark R.
University of Waterloo; Water Institute; Servos Research Group
Keywords
Keyword
viral partitioning
SARS-CoV-2
wastewater-based surveillance
human coronavirus 229E
murine hepatitis virus
pepper mild mottled virus (PMMoV)
Citations
Breadner, P., Dhiyebi, H., Srikanthan, N., Hayat, S., Servos, M. (2023). Partitioning behaviour of viruses in wastewater. Federated Research Data Repository. https://doi.org/10.20383/102.0747
Additional Information
Item exited embargo and became publicly available on 2023-07-06
Specific Locations (if needed)
Description of Specific LocationLatitudeLongitude
University of Waterloo, Ontario, Canada
43.47082229814794
-80.54367972706852
Clarkson WWTP, Ontario, Canada
43.49583950295918
-79.61976004689434
GE Booth WWTP, Ontario, Canada
43.57813235185477
-79.54719431363328
Kitchener WWTP, Ontario, Canada
43.39954467850087
-80.42302931991335
Dataset Version
1
Dataset Creation Date
2023-07-06
Status of data collection/production
○ Planned
○ In Progress
○ Abandoned
◉ Complete
○ Web Service
Data Update Frequency
○ Continually
○ Daily
○ Weekly
○ Biweekly
○ Monthly
○ Anually
○ As needed
○ Irregular
○ None planned
◉ Unknown
Primary Source of Data
◻ Unknown/Unspecified
◻ Census
▣ Field collected samples
▣ Field experiment
◻ Field observation
◻ Field survey
◻ Human biological samples
▣ Lab experiment
◻ Model simulation
◻ Previously collected
◻ Qualitative (from observations or interviews)
◻ Social survey
◻ Traditional knowledge
◻ Other Source of Data (Please specify in field below)
Terms of Use
https://creativecommons.org/licenses/by/4.0/
Does the data have access restrictions?
▣ No restriction (data is currently open to public)
◻ Limited (data is currently under embargo until publication)
◻ Limited (data involves intellectual property issues related to local or traditional knowledge)
◻ Limited (release of data may cause harm to the environment or to the public)
◻ Limited (pre-existing data has been used and is subject to access restrictions)
◻ Limited (data involves human subjects)
◻ Limited (data is supported by industry partnerships)
◻ Limited (data is supported by government partnerships)
Datasets and Real-time Data Feeds
Data Centre Postings
Download Links and Instructions
https://globus.frdr.ca/file-manager?locale=en-us&origin_id=9347409e-b290-40c8-9b35-8bc3bae5d046&origin_path=/2/published/publication_742/submitted_data https://www.frdr-dfdr.ca/repo/download/request
Total Size of all Dataset Files (GB)
0.00006914
© 2026 - WaterNet Version 2026-07-08
Global Water Futures Observatories
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T-2026-06-04-31rJeUw8prEaFB31t0RvmEAQ Dataset 1.3