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This folder contains data presented in the paper: Environmental antimicrobial resistance is associated with faecal pollution 
in Central Thailand’s coastal aquaculture region, Journal of Hazardous Materials, https://doi.org/10.1016/j.jhazmat.2021.125718 

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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) CSV files downloaded from EPI2ME with the NCBI taxonomic classification and quality of individual reads underpinning the multivariate data analysis
2) Matlab scripts for the interpretation of the CSV files to generate OTU tables and HT-QPCR data
3) Excel files with input data for the Matlab scripts to assign barcodes to samples and group data according to factors
4) Library with lineage for NCBI taxa IDs
5) Guide for using he Matlab scripts
6) HT-qPCR CT values
7) Additional data underpinning the figures and tables in the manuscript

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:
Microbiological and chemical water quality data, HT-qPCR, qPCR, NGS, MinION, EPI2ME, 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. A guide for using the Matlab scripts is included in the folder.


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: 
2019


Geographic coverage of data:
Thailand (see map 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