General Information 
-------------------
README: Dataset in support of the thesis 'An Investigation of Overlooked Complexities Affecting UK Vitamin C Security and the Potential for Local Crops to Address Insecurities: A Case of UK Strawberries'. 
Author: David Fisher  
Supervisors: Eleftheria Stavridou, Jenny Baverstock, Guy Poppy  
Date: 26/06/2025  

Contact  
-------  
- David Fisher – D.Fisher@soton.ac.uk  
- Eleftheria Stavridou – eleftheria.stavridou@niab.com  
- Jenny Baverstock – J.Baverstock@soton.ac.uk  

Overview  
--------  
This repository supports the thesis titled:  
"An Investigation of Overlooked Complexities Affecting UK Vitamin C Security and the Potential for Local Crops to Address Insecurities: A Case of UK Strawberries"

The project is structured into six chapters, each with its own data, analysis scripts, and figures. This primary README provides:
	- An overview of the repository structure
	- A summary of each chapter’s key data
	- Guidance on file naming, usage, and dataset documentation 

Repository Structure  
--------------------  
./  
│
├── README.txt
├── chapter-01_general_introduction/
│ └── README.txt
├── chapter-02_UK_fruit_and_vegetable_purchases/
│ └── README.txt
├── chapter-03_vitaminc_intakes_and_status/
│ └── README.txt
├── chapter-04_strawberry_analytical_survey/
│ └── README.txt
├── chapter-05_strawberry_foliar_sprays/
│ └── README.txt
└── chapter-06_strawberry_genotypes/
  └── README.txt 


Chapter Key data 
-----------------  
Chapter 1 – General Introduction: Vitamin C Security in the UK Food System 
	No datasets or analysis associated with this chapter
Chapter 2 – An Exploration of Seasonal and Regional Trends in UK Household Access to Vitamin C Through Purchases of Fresh Fruits and Vegetables 
	Key data: Kantar World Panel fruit and vegetable purchase data 
Chapter 3 – The Relationships Between Vitamin C Intakes and Status in a Large UK Cohort and Their Implications for Assessments of Vitamin C Security 
	Key data: National Diet and Nutrition Survey, dietary survey and blood biomarker data in a large UK cohort
Chapter 4 – Seasonal Variation in the Vitamin C Content of UK-Marketed Strawberries
	Key data: Primary analytical survey of UK-marketed strawberries, inluding seasonl trends in availability, vitamin C content, price, and sweetness
Chapter 5 – The Effects of Foliar-applied Iron-Nanoparticles and Sodium Selenate on the Vitamin C Content of UK Strawberries Cultivated in Commercial Growing Systems 
	Key data: Primary experiment testing foliar application of iron-nanopartiles and sodium selenate to enhance vitamin C accumulation in strawberries grown under commercial growing conditions
Chapter 6 – Characterisation of the Vitamin C Profiles of British Strawberry Genotypes Grown Under Commercial Cultivation Systems
	Key Data: Primary experiment comparing the nutritional and agronomic quality of seven UK strawberry genotypes over two growing seasons under commerical growing conditions

Usage Notes  
-----------   
- Each chapter folder contains a dedicated README.txt file detailing datasets, scripts, and methodologies.
- Details on where and how to access secondary datasets are included in chapter-specific README files, but the original secondary data themsleves are not stored in this repository.
- Primary and secondary datasets have been cleaned and preprocessed and represent the data as used in all analysis and generation of figures. 
- Primary data are also included should the user wish to start any analysis or reproduction from the primary data themselves. 
- All code for figure generation and data processing is included in each chapter's `code/` folder and documented in chapter-specific README files. 
- Datafile naming conventions reflect creation date and content: YYYYMMDD_SourceOrStudyID_Descriptor.csv (e.g., 20250528_mezzetti2016_genotypes_asa.csv).  
- Codefile naming conventions reflect the content and version number: Descriptor_VX.X.X.Extension (e.g. Kantar_V2.7.9.R).
- Data from other published works are fully referenced in chapter-specific README files. If no reference can be found in the README files, please refer to the Bibliography found in the full Thesis.


Recommended Tools
-----------------
- R ≥ 4.0
- See each chapter’s primary analysis script (e.g., chap-04_analysis-figures.R) for a list of dependencies. 
- Running the primary analysis script will install required dependencies automatically.