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 sixteen risks were included in the BWS including four air-, food- and waterborne illnesses and twelve 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

The dataset provides observational information on events when humans are in contact with poultry in rural and urban Bangladesh. Data were collected during observation periods of three hours duration in three settings where humans and poultry have close interactions: rural households with domestic poultry and small-scale commercial farms in rural areas of Tangail district and market stalls that sell, slaughter and process live poultry in Dhaka city. Observations on hygiene or handwashing behaviours that take place before or after contact with poultry, poultry products (eggs, meat) or poultry waste (bedding, faeces or carcasses) were also recorded. A structured observation sheet was used to record the number of occurrences of pre-defined activities. The objective was to record the types of contact behaviours and proportion of human-poultry interactions that could result in human exposure to antibiotic-resistant bacteria carried by poultry. The research was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance (AMR) Transmission from the Outdoor Environment to Humans in Urban and Rural Bangladesh. The research was funded by NERC/BBSRC/MRC on behalf of the Antimicrobial Resistance Cross-Council Initiative, award NE/N019555/1. Full details about this dataset can be found at https://doi.org/10.5285/76f52a38-7a2c-49a3-b86f-cc40205459ef

These dataset files show the calibration of a sensor for mercury (II) ions using a Fluorimeter and either HgCl2 or HgNO3. A range of different sample conditions are tested, including sensor concentrations and relative proportions of water and a methanol co-solvent (required for solubility of the probe). Also tested was the ability of acid to affect the probes sensitivity to mercury as nitric acid is needed for the stability of HgNO3 as an analyte. File names listed show the concentration of sensor and the ratio of water to methanol tested. Inductively coupled plasma mass spectrometry (ICP-MS) data are also given these are used to validate the sensors calibration and also to monitor the levels of soluble mercury content of dental amalgam samples held at either (11⁰C or 37⁰C) in water and saliva. The supernatant of these suspensions is filtered and measured using ICP-MS to give the data as reported. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/bc82f15b-8db6-4398-bfec-655a1eecf2d7

This dataset presents the results of the evaluation of the potential of Candida auris strains to survive selected environmental stress. Cells of Candida auris strains were exposed to selected environmental stress including environmental UV and low cycling temperature regimes in simulated environments and their survival was quantified by estimating the viability of exposed cells at intervals. The impact of exposure to environmental stress on the virulence of C. auris cells was also evaluated based on their virulence in Galleria mellonella larvae. The impact of pre-exposure to clinical and environmentally relevant temperatures on the susceptibility of C. auris strains to medical and agricultural azoles was also evaluated. The work was supported by the Natural Environment Research Council (Grant NE/V005847/1) Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/722e45d2-0034-43ea-a4af-c4bfcc337ef0

This data set describes the prevalence of trypanosomes and Sodalis glossinidius, and host blood meal analysis from tsetse flies (Glossina morsitans morsitans) captured during two intensive surveys in Mambwe District, Eastern Province, Zambia in 2013. The Luangwa Valley in Zambia is an old focus of human African trypanosomiasis (HAT, Trypanosoma brucei rhodesiense) and sporadic outbreaks have continued to occur in the human population. In recent years there has been an influx of people migrating from the densely populated plateau region resulting in a significant change in land-use in the study area, potentially influencing tsetse dynamics and the epidemiology of HAT. This data set was collected to monitor infection rates of trypanosomes and Sodalis glossinidius in Glossina morsitans morsitans tsetse flies in the area so as to assess the risk posed to both human and livestock populations. In addition, feeding patterns of tsetse were investigated through analysis of blood meals. This work was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC) and contributed to the Zambia trypanosomiasis case study. The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Full details about this dataset can be found at https://doi.org/10.5285/a55eea77-8401-49ba-921e-53e085dc8345

This dataset contains the annual flow data of organic waste and nutrients (nitrogen and phosphorus) in the region of Leicester City and Leicestershire Country in the UK, for the year of 2019. Full details about this dataset can be found at https://doi.org/10.5285/df329c40-cd4d-48d9-90d7-968f69df2279

This dataset contains water chemistry for inlet samples for remediation systems in Bihar, India and associated remediation system efficiency for arsenic removal. The dataset contains paired inlet-outlet data for 31 household and community groundwater remediation systems of different technology types (split into reverse osmosis/RO and non-reverse osmosis) and settings (household and non-household). The chemical data includes the composition of inlet water (concentrations of Fe, P, As, Ca, Mg, Na and Si) and associated arsenic removal. This data was generated as part of the Indo-UK Water Quality Programme Project FAR-GANGA (NE/R003386/1 and DST/TM/INDO-UK/2K17/55(C) & 55(G)). Full details about this dataset can be found at https://doi.org/10.5285/77700f8e-5da6-45ab-9c12-df1a7d20bc32

This dataset contains information about the number of bacterial colonies recovered from plastics beads that were incubated in a 96-well plate for 24 hours at 37 degrees Celsius. Each well in the plate had 1 bead composed of polycaprolactone in it and 150 microlitres of Isopropyl β- d-1-thiogalactopyranoside (IPTG) induced bacterial cell culture. Three replicates were performed. The bacterial cells had been modified to harbour plasmids that encoded genes to trigger the cells to form biofilms, the expression of these genes was induced using IPTG. An empty plasmid was used as the control. The work was supported by the Natural Environment Research Council (Grant NE/X010902/1), as part of an experiment looking into using synthetic biology to manipulate bacterial social behaviours to maximise the microbial degradation of environmental waste plastics. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/eef3a20c-cb4c-415f-b4be-4d1c31fb6015

These data consist of information on economic, social, demographic, cultural, and treatment seeking behaviour collected from former and current human African trypanosomiasis (HAT) patients in Eastern Zambia between 2004 and 2014. There are two data sets. The first dataset consists information on the economic and social impact of HAT. Information on demographics, culture, and treatment seeking behaviour was also collected. Data for this dataset were collected through structured questionnaires administered to patients themselves or their close relatives (care giver). The questionnaires were developed and delivered by experienced researchers from the University of Zambia. The data have been anonymised by removing the names of villages where the patients lived. In total, 64 cases were included in the study. Verbal consent was obtained prior to commencing all questionnaires. The second dataset consists of anonymised transcripts of focus group discussions conducted with health workers, people who have suffered from HAT and their relatives or friends. Seven to ten people were included per discussion group, providing information on concepts, perceptions and ideas relating to the social consequences of HAT. A total of eight focus group discussions were conducted during the study. Focus group discussion data were analysed using inductive approaches and thematic coding carried out by two independent researchers. All transcripts were anonymised and personal identifiers were removed to protect patients' individual data. Verbal consent was obtained prior to commencing all interviews. Focus group interviews were carried out by experienced researchers from the University of Zambia. The data were collected to determine the economic and social consequences of human African trypanosomiasis (HAT) in Eastern Zambia. This research was part of a wider research project, the Dynamic Drivers of Disease in Africa Consortium (DDDAC), and these data contributed to the research carried out by the consortium. The research was funded by NERC project no NE/J000701/1 with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Full details about this dataset can be found at https://doi.org/10.5285/6f70d562-8fcf-4ecd-adaf-cbc5800cc326

The data set includes the results of a laboratory analysis in 2016, investigating the presence of trypanosomes and prevalence of tsetse endosymbionts in tsetse flies. The tsetse flies were sampled in Hurungwe District, Mashonaland West Province, Zimbabwe, from February 2014 to November 2014. Flies were sampled using a combination of Epsilon traps and fly rounds, both established techniques for sampling tsetse. Tsetse were stored prior to laboratory analysis using Polymerase chain reaction (PCR) techniques in 2016. The data include two species of tsetse, Glossina pallidipes and Glossina morsitans morsitans. Trypanosome species investigated include Trypanosoma brucei s.l., T. b. rhodesiense, T. vivax, T. congolense, T. simiae, T.simiae (Tsavo) and T. godfreyi. Endosymbionts included in the study were Sodalis glossinidius and Wolbachia spp. Hurungwe District is the only sleeping sickness focus in Zimbabwe and an increase in cases had been detected in years preceding this study. The objective of the study was to investigate the trypanosome species present in the tsetse population and their association with tsetse endosymbionts. This study was conducted as part of research into the relationship between trypanosomiasis, well-being and ecosystems by the Dynamic Drivers of Disease in Africa Consortium (DDDAC). The research was funded by NERC with support from the Ecosystem Services for Poverty Alleviation Programme (ESPA). Full details about this dataset can be found at https://doi.org/10.5285/1e435dd3-ed93-4961-a136-ffa477731e1c