nonCciKeyword

Human Health and Safety

16 record(s)

 

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  • The data presented are quantitative polymerase chain reaction (qPCR) read outs from antimicrobial resistance gene (AMRG) assays and associated metadata from this project. In this dataset, the mean gene copy numbers per microlitre of DNA extract are shown. The data were collected from faecal and environmental samples which were obtained from a single British commercial pig unit. The former were collected from the sow housing barn, pig growing houses and slurry tanks within the farm unit and the latter were obtained through random stratified sampling of the farm and the surrounding land. These samples were taken from what will be referred to as the 'main study'. A further study was carried out to obtain samples after a partial depopulation which took place on this farm. Faecal samples were obtained from the sow housing barn, pig growing houses and slurry tanks and will be referred to as the 'depopulation (depop) study'. For the main study, the samples were collected between October 19th 2016 and April 5th 2017. For the depop study, the samples were collected between 19th June 2017 and 13th November 2017. The data associated with all samples were generated between August 1st 2017 and May 1st 2018. Full details about this dataset can be found at https://doi.org/10.5285/e548dc5d-49e3-467d-9435-c199da40e7be

  • 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.

  • [This nonGeographicDataset is embargoed until December 1, 2020]. This dataset contains the answers gathered from the 806 participants who successfully finished an on-line survey on risk perception of environment-associated risks. The survey was launched on the 15th of February 2018 and ran for five days. The survey contained best worst scaling (BWS) to understand people’s perceptions to certain risks. In this study 16 risks were included in the BWS including four air-, food- and waterborne illnesses and 12 other hazards. The BWS was run in two blocks to consider two factors: first the respondents selected which risk they fear the most/least and in the second block they selected the risk they believed they had the most/least control. The survey also contained a detailed questionnaire on the participants eating habits and health status. Participants were also asked about their knowledge on enteric pathogens and whether they have ever sought or would consider seeking advice on the symptoms. Respondents were also asked whether they have experienced the hazards described in the BWS and whether they have done anything to reduce the risks in their life. The data were collected to gather information on people perceptions on environment-associated risks. This was done to understand the common knowledge on environment-associated pollutants and enlighten issues regarding risk management and mitigation. The data were collected as part of the VIRAQUA project was funded by the Natural Environment Research Council (NERC) under the Environmental Microbiology and Human Health (EMHH) Programme (NE/M010996/1). Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/0869d961-99ca-4946-9192-f35afccdda38

  • 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.

  • Data comprise radioactivity transfer parameter and concentration ratio values for gastrointestinal contents of ruminants (cows and goats) to milk. The derived transfer values and concentration ratios were originally reported in the Handbook of Parameter Values for the Prediction of Radionuclide Transfer in Terrestrial and Freshwater Environment. Technical Reports Series TRS 472 but now include newly compiled data for both goat and cow milk. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/7713d170-f6a3-4aa7-83c8-fe91278517ce

  • 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.

  • Data comprise radionuclide deposition, radioactivity dose measurements, radioactive particle activity and physical characteristic information from soil samples collected within and around the Chernobyl Exclusion Zone (CEZ) following the Chernobyl nuclear accident in 1986. Data include radiocaesium, radiostrontium and soil chemistry parameters from soils collected in 1997, plutonium isotope measurements in soil samples and soil layers collected in 2000 and 2001, 'Hot particle' dataset presenting radionuclide activity and some physical characteristics of 'hot particles' extracted from soils collected in the Ukraine and Poland between 1995 and 1997; and Ivankov region data (radionuclide activity concentrations and natural background dose measurements) from a survey of the Ivankov region, immediately to the south of the CEZ conducted in 2014. Funding for preparing this data set was provided by the EU COMET project (http://www.radioecology-exchange.org/content/comet) and TREE (http://www.ceh.ac.uk/tree) project funded by the NERC, Environment Agency and Radioactive Waste Management Ltd. under the RATE programme. Full details about this dataset can be found at https://doi.org/10.5285/782ec845-2135-4698-8881-b38823e533bf

  • These data show the presence/absence and identification of Cryptosporidium species from the results of a molecular survey of various upland river biota aquatic invertebrates, biofilms, mammal droppings and fish guts, gills and faeces. Samples were collected from various upland influenced sites from around Wales between 2012 and 2015 and were collected. Additionally, otter samples from UK-wide project were also tested. Sample collection was primarily undertaken by DURESS researchers at Cardiff University. Sample testing and analysis was performed at the Cryptosporidium Reference Unit, Public Health Wales Microbiology, Swansea. DNA was extracted using a commercially available kit (Gentra PureGene), Qiagen stool and tissue DNA kits for the fish and mammal samples. These data were collected to provide new information required for the production of a catchment pathogen model to inform ecosystems (dis)services analysis of land use change scenarios for the Diversity in Upland Rivers for Ecosystem Service Sustainability (DURESS) project, part of the NERC Biodiversity and Ecosystem Service Sustainability (BESS) BESS Programme. Full details about this dataset can be found at https://doi.org/10.5285/84242834-dc78-49a6-83cb-951edac65d18

  • This dataset contains pH, turbidity, conductivity and viral concentration information in river and estuarine water, wastewater, sediment and mussel samples collected in the Conwy River and estuary. The aim of data collection was to monitor wastewater contamination in the freshwater-marine continuum. Samples were collected by trained members of staff from Bangor University at four weekly between March 2016 and August 2017. Treated and untreated wastewater samples were collected at four wastewater treatment plants along the Conwy River. Surface water samples were collected at four sites, sediments at three sites and mussels at two sites. The VIRAQUA project was funded by the Natural Environment Research Council (NERC) under the Environmental Microbiology and Human Health (EMHH) Programme (NE/M010996/1) Full details about this dataset can be found at https://doi.org/10.5285/5d19f6e2-1383-41ed-92d2-138d95bf4c72

  • 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.