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Teesside University Showcase

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1970
2024
1970 2024
475 results
  • Predictor of Fluorosis: Total Fluoride Intake or Subsequent Fluoride Absorption? - supplementary material
    This dataset is a supplementary material of the Chapter 3 Study I of the thesis titled ‘Predictor of Fluorosis: Total Fluoride Intake or Subsequent Fluoride Absorption?’. Tables encompass data gathered through the Iowa Fluoride Study (IFS), specifically 3-day food diaries. Data from the 3-day food diaries was transcribed for 91 participants with/without dental fluorosis on permanent teeth at 6 weeks, 3, 6, 12, 24, and 36 months of age. This was then joint with fluoride concentrations found for each individual product using both the UK and the US fluoride databases (Table 1 - Table 24). For each individual product, the frequency of intake and overall fluoride intake were calculated and used to identify those food products with the highest frequency of consumption/highest fluoride intake (Table 25 - Table 42). Necessary ethical approvals were obtained for this study. No personally identifiable information is included in the dataset.
    • Dataset
  • Weight Loss After Weight-Loss Surgery: The Mediating Role of Dichotomous Thinking
    This dataset pertains to a cross-sectional investigation encompassing 129 individuals who have undergone weight-loss surgery. It features pre- and post-surgical measurements of weight and body mass index (BMI), alongside assessments of dietary restraint and dichotomous thinking. Analysis of the data substantiates the assertion that dichotomous thinking concerning food and diet acts as a mediator in the association between dietary restraint and the maintenance of weight loss subsequent to surgery. This finding holds clinical significance due to the measurable and modifiable nature of dichotomous thinking through psychological intervention. For further information, please refer to Marshall, Reay, & Bowman's (2024) work titled "Weight Loss After Weight-Loss Surgery: The Mediating Role of Dichotomous Thinking," published in Obesity Surgery. Note that the dataset in question contains no personally identifiable information, and participants provided informed consent for the dissemination of their de-identified research data in support of open science initiatives.
    • Dataset
  • Aberdeenshire Farmers' Market Survey
    The data results from questionnaires conducted on six Aberdeenshire farmers' markets throughout summer 2022. The themes of the questionnaire includes customer perceptions of food quality, freshness, healthiness and likelihood of being organic and produced by sustainable farming methods.
    • Dataset
  • Women and Property 1885-1889: North Riding Register of Deeds
    • Collection
  • Women and Property 1784-1790: North Riding Register of Deeds
    • Collection
  • Women and Property 1785-1789: North Riding Register of Deeds
    • Collection
  • A Database of the Fluoride Content of Selected Drinks and Foods in the UK and Republic of Ireland
    It is important to monitor systemic fluoride (F) intake from foods, drinks and inadvertent toothpaste ingestion in order to minimise risk of dental fluorosis while maximising caries prevention. In collaboration with Newcastle University, we have developed and populated a “fluoride database” which includes the fluoride concentration (µg fluoride per 1g of the product) and content (µg fluoride per 100 g of the product) of a substantial number of food and drink products sold within the UK and Republic of Ireland, representing brands manufactured by leading companies in the European food market. The database is intended as a tool for public health professionals and policy-makers to facilitate monitoring of dietary fluoride intake, particularly in children. This publication provides information on fluoride concentrations of the most commonly consumed food and drink items in the UK, compiled from the results of a range of research projects funded by The Borrow Foundation and Organix Foundation and Food and Environment Research Agency (Fera) Science Ltd. The background to the development of the database is described in our paper published in Caries Research (Zohoori & Maguire, 2016). The wide range of fluoride content within food and drink groups, verified within this fluoride database clearly highlights the need for comprehensive fluoride labelling of food and drink products, particularly those used primarily by infants and very young children (Zohoori & Maguire, 2018).
    • Dataset
  • Women and Property 1784-1790 Females Only by Marital Status: North Riding Register of Deeds
    Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. To analyse by gender this information was required so was added by using the Deeds Registers. Information from the individual Deeds Registers was then used to add to the core datasets: Stage 2 - The gender of all parties ('male', 'female' and 'not applicable' (for businesses) was added. Stage 3 - The usual residence, occupation (if any), marital status and any details of family relationships or inheritance rights of every women was added. Stage 4 - The 18th century dataset was then reduced to a five-year period covering 1785-1789 ONLY to provide a direct comparison with the 19th century dataset. Comparative analysis by: gender, marital status and number of transactions. Each transaction has a unique reference number but can contain multiple parties and cover more than one township. To identify the true number of transactions, the data had to be controlled for these factors. **This dataset is the subset of 5,571 women named in the Index Ledger - sorted by Marital Status.**
    • Dataset
  • Women and Property 1885-1889 Female Wills: North Riding Register of Deeds
    Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. To analyse by gender this information was required so was added by using the Deeds Registers. Information from the individual Deeds Registers was then used to add to the core datasets: Stage 2 - The gender of all parties ('male', 'female' and 'not applicable' (for businesses)) was added. Stage 3 - The usual residence, occupation (if any), marital status and any details of family relationships or inheritance rights of every women was added. Stage 4 - The 18th century dataset was then reduced to a five-year period covering 1785-1789 ONLY to provide a direct comparison with the 19th century dataset. Comparative analysis by: gender, marital status and number of transactions. Each transaction has a unique reference number but can contain multiple parties and cover more than one township. To identify the true number of transactions, the data had to be controlled for these factors. A control for uniqueness was also required for those individuals and organisations involved in multiple transactions and to avoid assuming that everyone with the same name was actually the same person. Where women were involved, additional data e.g. marital status, residence or family relationships was used to differentiate between like women. **Any transaction in the 1885-1889 dataset identified as being a FEMALE Will or Will & Codicil was manually extracted to a separate dataset - REPRESENTED HERE. These can be full copies, or memorials of the original as shortened by the Clerk at the Registry. In some cases, the Township is not given, but 'County of York & Elsewhere' given as place. This implies that the Executors knew that there was some land/ property but were unclear of exact location, or that there were multiple pieces of land across the County. Excel and .csv versions provided. Sorted by Unique Ref, but can be resorted by year, township, name or marital status as required.**
    • Dataset
  • Women and Property 1785-1789 Female Wills: North Riding Register of Deeds
    Research hypothesis was to use the Registers of Deeds for the North Riding of Yorkshire (held at North Yorkshire County Record Office, Northallerton, England) to advance knowledge about women's involvement with property transfer and the wider property market in the 18th & 19th centuries. Registers began in 1736 and ceased in 1970; there are 89 Index Ledgers and 2,328 Deeds Registers. The system for recording data changed in 1885 so one Index Ledger was selected from pre/ post this date and 100 years apart to incorporate impact of Marriage Acts. Stage 1 - Two Index Ledgers were transcribed in full: 1) Index of Lands Vol 9 (1784-90) covers a seven-year period and contains 6,868 unique transactions (31,966 lines); and 2) Index of Lands 1885-1889 covers a five-year period and contains 14,481 unique transactions (52,741 lines). Each line represents a person's name. Core data from Index showed Township, unique reference and names of parties, but the 18th century Index Ledger did not show date of transaction or all parties. To analyse by gender this information was required so was added by using the Deeds Registers. Information from the individual Deeds Registers was then used to add to the core datasets: Stage 2 - The gender of all parties ('male', 'female' and 'not applicable' (for businesses) was added. Stage 3 - The usual residence, occupation (if any), marital status and any details of family relationships or inheritance rights of every women was added. Stage 4 - The 18th century dataset was then reduced to a five-year period covering 1785-1789 ONLY to provide a direct comparison with the 19th century dataset. Comparative analysis by: gender, marital status and number of transactions. Each transaction has a unique reference number but can contain multiple parties and cover more than one township. To identify the true number of transactions, the data had to be controlled for these factors. A control for uniqueness was also required for those individuals and organisations involved in multiple transactions and to avoid assuming that everyone with the same name was actually the same person. Where women were involved, additional data e.g. marital status, residence or family relationships was used to differentiate between like women. **Any transaction in 1784-1790 dataset identified as being a FEMALE Will or Will & Codicil was manually extracted to a separate dataset, then revised to strip out transactions for 1784 & 1790, leaving transactions dated 1785-1789 only - REPRESENTED HERE. Wills can be full copies, or memorials of original as shortened by the Registry. In some cases, the Township is not given, but 'County of York & Elsewhere' given as place. This implies that the Executors knew that there was land/ property but either unclear of exact location, or that there was multiple pieces of land across the County. Sorted by Unique Ref, but can be resorted by year, township, name or marital status as required. Excel and .csv versions provided.**
    • Dataset
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