From 1 - 6 / 6
  • This dataset contains the calculated Carstairs Index at Output Area for Sheffield, created to facilitate spatial analysis of socioeconomic deprivation at smaller scales than is possible using the Index of Multiple Deprivation. The data were created for use in the Improving Well-being through Urban Nature project, which looked at the relationships between urban green space and health, especially mental health and well-being, using a variety of quantitative, qualitative and interventional methods, and using the English city of Sheffield as a case study.

  • This data is NERC-funded but not held by the EIDC. This data is archived in the UK Data Service ReShare repository. The dataset contains data from a randomised controlled trial study which aimed to provide an evaluation of a smartphone app-based wellbeing intervention. The data comprise participant demographics and questionnaire responses supplied at the pre-, post- and follow-up phases of the study and geolocation data returned by the app as the participants entered areas designated as urban green spaces.

  • The data set contains the qualitative results from fieldwork from the ‘sense of place’ and 'contemporary social representations' workpackage components of the WetlandLIFE project. Fieldwork included two discussant focus groups and thirty semi-structured interviews with specialist users of wetlands. The University of Brighton's social science qualitative fieldwork seeks to capture the different perspectives of people whose lives are intimately connected to particular English wetlands, in order to understand the range and diversity of wellbeing practices in these spaces. The target cohort are those groups of people, or organisations, that are particularly drawn to wetlands, or who could be expected to make regular use of these spaces, particularly for their health and wellbeing. Such Specialist Interest Groups (SIGs) would include birders, walkers, wildlife photographers, artists and anglers alongside educators, naturalists, spiritual practitioners and ecologists. They may not live close to the wetland sites but their field of interest, or sense of place, would be expected to include them. These interviews and focus groups took place at the case study sites in the Somerset Levels (Westhay Moor and Shapwick Heath), Bedfordshire (Priory Country Park and Millennium Country Park) and North Lincolnshire (Alkborough Flats) between January 2018 and September 2018. This data is NERC-funded but not held by the EIDC. This data is archived in the UK Data Service ReShare repository.

  • The data were collected during household surveys designed to investigate the strategies adopted by households to cope with environmental shocks linked to the 2015-2016 El Nino event in Tanzania, and the role played by Wildlife Management Areas (WMAs) - community-based natural resource management - in enabling or constraining these responses. The surveys referred to the period from 2014 to 2016 and were carried out with both heads of households and the wives of heads of household. Those carried out with household heads included sections on: basic household demographics; overall trends in wellbeing; experience of severe livelihood shocks; ownership and use of land and livestock; collection of bushmeat; changes in access to natural resources; composition of environmental income and livelihood portfolios; strategies for coping with environmental shocks; direct income and benefits from WMAs where they are present; conflict; and human casualties linked to wildlife. Those carried out with wives included sections on: basic household demographics; overall trends in wellbeing; use of produce from livestock, farms and gardens; income generating activities and remittances; food security; strategies for coping with environmental shocks; participation in WMAs where they are present; access to natural resources; conflict and safety; receipts of external aid and scholarships; and ability to perform ceremonies. https://reshare.ukdataservice.ac.uk/853955/

  • This data is NERC-funded but not held by the EIDC. This data is archived in the UK Data Service ReShare repository. This dataset contains material from work package 4.1 from the IWUN project: ‘A new green paradigm for wellbeing: an integrated approach to GBI (green and blue infrastructure) planning, health and social care’. The qualitative research for this work package took place between late 2017 and mid 2018. The central element of this research was a process of identifying greenspace interventions to improve wellbeing, and engaging stakeholders through a survey, interviews and focus groups to shortlist those interventions considered most practicable in Sheffield. The interviews and focus groups also discussed how such interventions could be implemented, what benefits were associated with them, and the processes involved in deciding whether or not to invest in the chosen actions. The dataset contains (a) anonymised interview and focus group transcripts to identify stakeholder preferences for greenspace interventions to improve wellbeing; (b) anonymised notes from associated public events; (c) notes from a thematic analysis of the interview and focus group material; (d) records of voting preferences from stakeholder groups in selecting possible greenspace interventions. This work was supported by the Natural Environment Research Council award number NE/N013565/1 as part of the Valuing Nature programme.

  • This dataset includes fully anonymised participant information, fully anonymised interview transcripts from audio-recorded interviews with 55 urban residents aged 17 to 86 years living in a UK northern city, and participants' anonymised drawings of 'feel good nature places'. The data were collected in seeking to understand cultures and values of nature and mental wellbeing among urban residents, particularly in the context of cultural background, gender, age, urban deprivation and levels of mental health. The project population sample was weighted to include more people of Black, Asian and Ethnic Minority background and more people living in an area of urban deprivation.