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Teesside University Showcase

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1970 2025
553 results
  • Storm Event Flow Data from an Industrial Cutaway Peatland, Ireland
    This flow dataset was collected alongside water quality data to test the hypothesis that effluents from degraded peatland catchments exhibit high temporal variability and pose a year-round risk to surface waters. Flow was measured at high resolution (1–5-minute intervals) at the outlet of an industrial cutaway raised bog catchment in Ireland during 14 storm events of varying intensities. This dataset provides insights into flow dynamics, including the rise, peak, and recession phases of storm events, and their relationships with water quality. The storm events were classified based on peak flow, with six events having peak flows <15 L/s and eight events exceeding 30 L/s. Our findings support the hypothesis, revealing strong temporal variability in water quality between storm events, partly influenced by flow intensity. Regression models and correlation analyses identified rainfall (used as a proxy for flow) as a key driver of this variability. These data contribute to a better understanding of the hydrochemical dynamics of degraded peatland catchments and their impacts on downstream water quality.
    • Dataset
  • Inlet and Outlet Water Quality of a Treatment Pond in an Extracted Peatland Catchment, Ireland
    This dataset was collected alongside other on-site water quality datasets to test the hypothesis that effluents from degraded peatland catchments are highly dynamic and pose a year-round risk to surface waters. Additionally, this dataset was used to evaluate the water treatment performance of a pond excavated at the edge of the catchment. To investigate this, we measured pH, electrical conductivity, nutrients, SUVA254 (carbon aromaticity), ions, biochemical oxygen demand (BOD₅), and turbidity at the inlet and outlet of the pond during two grab sampling campaigns: one conducted from March to October 2021, and another from September 2022 to April 2023. Our findings support the hypothesis, revealing high temporal variability in water quality. Additionally, we found that the pond had low or negligible effectiveness in treating soluble components. This dataset provides valuable insights into the hydrochemical dynamics of degraded peatland catchments and their impacts on downstream waters, as well as the effectiveness of treatment ponds as mitigation measures.
    • Dataset
  • Storm Event Water Quality in an Industrial Cutaway Peatland, Ireland
    This dataset was collected to test the hypothesis that effluents from degraded peatland catchments are highly dynamic and pose a year-round risk to surface waters. To investigate this, we measured flow, temperature, pH, electrical conductivity, nutrients, SUVA254 (carbon aromaticity), and ions at the outlet of an industrial cutaway raised bog catchment in Ireland during 14 storm events of varying intensities. The storm events were classified based on peak flow, with six events having peak flows <15 L/s and eight events exceeding 30 L/s. These events occurred across all four seasons (six in spring, three in summer, three in autumn, and two in winter) and resulted in datasets with varying sample sizes per event (ranging from 6 to 23 samples per event). Our findings support the hypothesis, revealing high temporal variability in water quality between storm events. Regression models and correlation analyses indicate that climatic factors such as rainfall (as a proxy for flow) and temperature were key drivers of this variability. These data provide valuable insights for understanding the hydrochemical dynamics of degraded peatland catchments and their impacts on downstream waters.
    • Dataset
  • International migration, food insecurity, and mental health: a scoping review
    Background International migrants can experience food insecurity throughout their migratory trajectory in a context of exacerbated inequities. Food insecurity and migration are both social determinants of mental health, however, no scoping review has been conducted with a specific focus on the topic at a global level. Aim To identify and synthesize the available evidence on food insecurity and mental health among international migrants published between 2013 and 2023. Methods The scoping review was conducted according to guidelines by the JBI. Scientific databases (Web of Science, PubMed, Medline, APA PsycArticles, Cinahl, ASSIA) and Google Scholar were searched (2013-Nov. 2023). A descriptive characterisation and thematic synthesis of the evidence were conducted. Results Seventy-one publications were identified. The evidence is mostly recent, quantitative, from the Global North, and part of broader, rather than specific, studies. Food insecurity is linked to mental health issues among international migrants, with qualitative evidence suggesting it exacerbates mental health problems, though quantitative studies do not establish causality or direction. Four mechanisms were identified to explain these associations. Conclusions Future research on the topic should analyse broader mechanisms of exclusion, cultural aspects of food insecurity, and the impact of some coping strategies on mental health.
    • Dataset
  • 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
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