This set of data includes records of vegetation species and characteristics, soil quality metrics and aspects of management relating to a single field on each sampled farm. Data were collected in 2019, from farms across Great Britain belonging to the Pasture Fed Livestock Association (PFLA). The data were collected by the UK Centre of Ecology & Hydrology, during a project funded by the BBSRC, seeking to evidence the impacts of pasture fed livestock approaches on grassland parameters, in particular, sward composition and associated soil qualities. Full details about this dataset can be found at https://doi.org/10.5285/e46dc740-2dc7-4f9f-b2b6-24748d86759a

This set of data includes records of vegetation species and characteristics, soil quality metrics and aspects of farm management relating to a single field on each sampled farm. Data were collected in 2018, from farms across Great Britain belonging to the Pasture Fed Livestock Association (PFLA). The data were collected by the UK Centre of Ecology & Hydrology, during a project funded by the BBSRC, seeking to evidence the impacts of pasture fed livestock approaches on grassland parameters, in particular, sward composition and associated soil qualities. Full details about this dataset can be found at https://doi.org/10.5285/78ca9a01-107b-4f33-8561-9c3e64db7e02

This dataset contains bird and butterfly abundance data from field-surveyed transects at Hillesden, UK (2006-2017). Over this time period, Hillesden hosted two five-year experimental manipulations of agri-environmental habitats, alongside monitoring of their impacts on biodiversity and agronomic indicators. This dataset contains data suitable for analysis of ten-year interannual population trends across both 5-year phases of experimental work at Hillesden, and subsequent comparison with equivalent trends derived from equivalent national recording schemes (Breeding Bird Survey (BBS) for birds, Wider Countryside Butterfly Monitoring Scheme (WCBMS) for butterflies). The data thus relate only to transects which were recorded consistently (nine for birds, seven for butterflies), and to species that were present on the majority of transects. This dataset thus represents a subset from the whole Hillesden biological survey dataset for these two groups, and contains maximum annual counts per transect, across monthly visits (April-August) within the permitted time frame from equivalent national recording schemes (BBS for birds, WCBMS for butterflies). Data were collected as part of a project led by the UK Centre for Ecology and Hydrology, funded by Defra, with analytical work funded by the Natural Environment Research Council (NERC) under research programme NE/N018125/1 ASSIST. ASSIST is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). Full details about this dataset can be found at https://doi.org/10.5285/c8d0ac67-6d47-42b1-af29-2339be8a5d82

A cross-sectional, interviewer-administered survey was conducted in 2017 in rural households, poultry farms and urban food markets. Survey data for each setting comprise three datafiles. The rural households and poultry farms (broiler chickens) were located in Mirzapur, Tangail district; urban food markets were located in Dhaka city, Bangladesh. In each setting, the survey included participants that had high exposure to poultry, and a comparison group that had lower exposure to poultry. The aim of the survey was to assess potential sources of exposure to antibiotic-resistant bacteria, particularly commensal bacteria that colonise the gastrointestinal tract of humans and poultry. The survey also assessed the use of antibiotics for human participants and practices relating to their poultry such as type of feed, housing, use of antibiotics for poultry and hygiene practices before and after being in contact with poultry. The survey was part of a wider research project, Spatial and Temporal Dynamics of Antimicrobial Resistance 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 nonGeographicDataset can be found at https://doi.org/10.5285/b4a90182-8b9c-4da8-8b95-bcd5acc727d1

This data set consists of various hydrological measurements taken over two years of instrumental monitoring in fields of willow and Miscanthus crops from a study as part of the NERC Rural Economy and Land Use (RELU) programme. Future policies are likely to encourage more land use under energy crops: principally willow, grown as short rotation coppice, and a tall exotic grass Miscanthus. These crops will contribute to the UK's commitment to reduce CO2 emissions. However, it is not clear how decisions about appropriate areas for growing the crops, based on climate, soil and water, should be balanced against impacts on the landscape, social acceptance, biodiversity and the rural economy. This project integrated social, economic, hydrology and biodiversity studies in an interdisciplinary approach to assessing the impact of converting land to Miscanthus grass and short-rotation coppice (SRC) willows. Two contrasting farming systems were focused on: the arable-dominated East Midlands; and grassland-dominated South West England. This data set consists of various hydrological measurements taken over two years of instrumental monitoring in fields of both crops. GIS and biodiversity survey datasets are also available. The public attidues questionnaire data from this study are available at the UK Data Archive under study number 6615 (see online resources). Further documentation for this study may be found through the RELU Knowledge Portal and the project's ESRC funding award web page (see online resources).