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).

This dataset holds survey data of individual farming households in the Terai region in Nepal relating to their nitrogen use. The survey was conducted in 2022 and the questions covered two seasons (summer and winter) asked at a single visit in the summer season. The questions on the winter season were based on recall. The data cover the following topics: household characteristics, general farm characteristics, plot characteristics, crop production and harvest, synthetic and organic fertilizer use and compost production, labour, irrigation, pesticides, livestock, information sources, drivers of and barriers to adoption of sustainable practices, attitude, behaviour, perception and opinion, household expenditure and income, household asset and wealth, subsidies. The data were collected primarily to assess differences in nitrogen use efficiency (NUE) and sustainable nitrogen practices between households. The data also aim to enhance understanding of farmers’ attitudes, opinion and decision making affecting NUE in crop production and farm related factors which enable adoption of sustainable practices. The data are part of a wider SANH (South Asian Nitrogen Hub) harmonised household survey covering Bangladesh, India, Maldives, Pakistan and Sri Lanka. Full details about this dataset can be found at https://doi.org/10.5285/3b7a3e0b-48e5-4395-b4c6-79bb43ae31e3

This dataset holds survey data of individual farming households in the Eastern region in Bhutan relating to their nitrogen use. The survey was conducted in 2022 and the questions covered two seasons (2022 and 2021 farming seasons) asked at a single visit in the 2022 season. The questions on the winter season were based on recall. The data cover the following topics: household characteristics, general farm characteristics, plot characteristics, crop production and harvest, synthetic and organic fertiliser use and compost production, labour, irrigation, pesticides, livestock, information sources, drivers of and barriers to adoption of sustainable practices, attitude, behaviour, perception and opinion, household expenditure and income, household asset and wealth, subsidies. The data were collected primarily to assess differences in nitrogen use efficiency (NUE) and sustainable nitrogen practices between households. The data also aim to enhance understanding of farmers’ attitudes, opinion and decision making affecting NUE in crop production and farm related factors which enable adoption of sustainable practices. The data are part of a wider SANH (South Asian Nitrogen Hub) harmonised household survey covering Bangladesh, India, Maldives, Nepal, Pakistan and Sri Lanka. Full details about this dataset can be found at https://doi.org/10.5285/cd35ca67-8121-4a0d-81c9-c4a7fae25117