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This folder contains data presented in the paper: Coconut husk biochar amendment enhances nutrient retention by suppressing
nitrification in agricultural soil following anaerobic digestate application

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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) OTU table derived from 16S rRNA gene amplicon sequences (by commercial analysis at Northumbria University)
2) Matlab scripts for the interpretation of the OTU tables
3) Excel files with input data for the Matlab scripts to assign barcodes to samples and group data according to factors

Explain the relationship between multiple data sets, if required:

The folder contains the data and Matlab scripts to generate the PCA and cluster analysis plots in the referenced paper. 

Key words used to describe the data:
Soil microbial community, 16S rRNA gene, NGS, 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: 
2019


Geographic coverage of data:
UK (origin of the soil and digestate), Thailand (origin of the biochar)


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 sample 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