This dataset contains rice crop biomass, and greenhouse gas flux measurements from five plots exposed to different fertiliser treatments and continuous and intermittent irrigation protocols. The gas flux data include methane, nitrous oxide, and ammonia, which were measured using chamber methodologies. The dataset also includes irrigation protocols and site environmental properties such as soil pH, bulk density, and texture. Agronomic yields are reported in terms of rice grain and total crop harvests as well as total nitrogen use efficiency. This dataset was created as part of an experiment carried out in rice paddies at the Indian Agricultural Research Institute (Delhi, India) in 2016. The experiment aimed to compare the environmental impacts of continuous and intermittent flooding of rice in relation to methane, nitrous oxide and ammonia emissions and the implications for nitrogen use efficiency and yield. Full details about this dataset can be found at https://doi.org/10.5285/46aafc00-6742-41df-b8be-09a8d5d86610

Data from 38 experimental sites across the UK and Ireland were collated resulting in 623 separate mineral fertiliser N2O emission factors (EF) estimates derived from field measurements. Data were either i) extracted from published studies in which one aim of the experimentation was to explicitly measure N2O and report EFs after a mineral fertiliser application, or ii) raw data were used from the Agricultural and Environmental Data Archive (AEDA). To find the published data, a survey of literature was conducted using Google Scholar for articles considered ‘recent’ (20 years or fewer), i.e. published after January 1998 and submitted before April 2019. The following search terms and their variations were used: N2O, nitrous oxide, emission factor, mineral fertiliser, ammonium nitrate, urea, nitrification inhibitor, nitrogen use efficiency, agriculture, greenhouse gas, grassland and arable. This search based on keywords was complemented with a search through the literature cited in the articles found and known previous research. Full details about this dataset can be found at https://doi.org/10.5285/9948d1b9-caa1-4894-93e6-cc0f4326fced