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This folder contains data presented in the paper: A Mobile Laboratory Enables Fecal Pollution Source Tracking in Catchments Using Onsite qPCR Assays
Journal: Water 2022, Issue 4 

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Introductory information
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Files included in the data deposit (include a short description of what data are contained): 

1) Excel files with physicochemical and microbiological water quality data. incl. Cq values for qPCR assays
2) Matlab scripts for the statistical evaluation and visualization of the water quality data
3) Excel files with input data for the Matlab scripts

Explain the relationship between multiple data sets, if required:

The folder contains the data and Matlab scripts to generate the figures and tables in the referenced paper. 

Key words used to describe the data:
Ouseburn, Microbiological and chemical water quality data, qPCR, HF183, rodA, 16S, Matlab


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Methodological information
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A brief method description – what the data is, how and why it was collected or created, and how it was processed:
The method description is available in the manuscript and supporting information.


Instruments, hardware and software used: 
The method description is available in the manuscript and supporting information. Matlab R2019a was used for the code development.


Date(s) of data collection: 
2021


Geographic coverage of data:
UK (see coordinates in the manuscript)


Data validation (how was the data checked, proofed and cleaned):
The method description is available in the manuscript and supporting information


Overview of secondary data, if used:



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Data-specific information
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Definitions of names, labels, acronyms or specialist terminology uses for variables, records and their values: 
See manuscript and excel files for more information about sampling locations and types.



Explanation of weighting and grossing variables: 
The method description is available in the manuscript and supporting information


Outline any missing data:
The method description is available in the manuscript and supporting information


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Contact
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Please contact rdm@ncl.ac.uk for further information