[This dataset is embargoed until June 1, 2027]. The dataset contains single nucleotide polymorphism (SNP) genotyping data for 323 diverse wheat accessions from Pakistan, Mexico, and Australia. DNA was extracted from 21-day-old seedlings grown in a glasshouse at Rothamsted Research, UK, and genotyped using the commercially available TaNG v1.1 Affymetrix Axiom array at the Bristol Genomics Facility, University of Bristol. The genotypic data are provided in HapMap double-bit format. This work aimed to improve nitrogen use efficiency (NUE) in wheat as part of efforts toward sustainable yield enhancement and global food security. Genetic dissection of key agronomic traits presents a viable strategy for developing high-yielding, nitrogen-efficient wheat cultivars. The data support a genome-wide association study (GWAS) that related NUE traits to potential genetic markers. The research was funded by the Natural Environment Research Council (Grant NE/S009019/1). Full details about this dataset can be found at https://doi.org/10.5285/291ca8d7-6178-4e6f-98a5-f59225d884cd

This product consists of maps of predicted annual application rates (kg/km2/yr) of three different inorganic chemical fertilisers - nitrogen (N), phosphorus (P) and potassium (K) - in England across a seven-year period (2015-2021). Annual estimates, along with their respective estimates of uncertainty, are provided at a 1 km x 1 km resolution with a separate map provided for each fertiliser. This product builds on the previous CEH Land Cover plus: Fertilisers 2010-2015 (England) product, providing maps for more recent years and increasing the temporal resolution to provide a map per year instead of an average across years. Full details about this dataset can be found at https://doi.org/10.5285/0fdfd1c8-eb14-4eef-9cc5-eeb00e1fcafa

Dataset includes concentration of crude protein, fibre (ADF and NDF), metabolisable energy (ME) and a range of dietary minerals from three species-rich floodplain meadows in Central England. Samples were taken between May and September in 2020 and 2021. Graminoid:forb ratio, Accumulated Growing Degree-days (thermal time), Accumulated Actual Evapotranspiration and yield are recorded for each date. The data were originally collected to investigate the seasonal dynamics of yield, dietary minerals, protein and energy in floodplain meadow hay. For full study method see https://doi.org/10.21954/ou.ro.00097871 Full details about this dataset can be found at https://doi.org/10.5285/361f0587-4cc6-48df-9f7e-8ade331cf8d5

The data comprises records of phenotypic traits of outbred Gryllus bimaculatus that were bred in a laboratory. Inbreeding was minimized by avoiding crossing family lines. Traits that were measured include adult body mass, development time, and lifespan. The data were collected in 2023 by researchers from the University of Glasgow to investigate the effects of parental age and temperature conditions on offspring life-history. We chose this species because we have complementary field projects on field crickets and they are easily maintained in a lab. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/085ec3ff-110d-4dbf-96da-7418ab9a7c5a

[This dataset is embargoed until June 1, 2026]. The dataset contains 323 diverse wheat accessions under two N regimes (N100 and N50) across two environments over two consecutive years, 2021-2023. All 323 genotypes were planted in two different Locations: 1) University of Agriculture, Faisalabad (31.4396° N, 73.0768° E), and 2) National Institute of Genomics and Advanced Biotechnology (NIGAB), Islamabad (33.6736° N, 73.1240° E). The experiments were laid down for two years; Yr1) Rabi-2021-22 and Yr2) Rabi-2022-23. Alpha lattice was used as an experimental design with 4 replications at location 1 and 3 replications at location 2. Treatments were applied as 100% of the recommended N dose at a rate of 120 kg ha-1 (N100) and 50% of the recommended dose at a rate of 60 kg ha-1(N50). Urea was used as N source and applied in three splits as basal dose, at stem elongation stage and at the heading stage. Standard irrigation and crop management practices were followed for all environments. The following parameters were measured: days to flowering, flag leaf area (cm2), peduncle length (cm), spike length (cm), plant height (cm), straw yield (g), grain yield (g) and thousand grain weight (g). The work was supported by the Natural Environment Research Council (Grant NE/S009019/1). Full details about this dataset can be found at https://doi.org/10.5285/7aa32225-f277-4ff6-bc73-7fe6123748cc

This dataset contains over 4000 faecally-contaminated environmental samples collected over 2 years across 53 dairy farms in England. The samples were analysed for E. coli resistance to amoxicillin, streptomycin, cefalexin, tetracycline and ciprofloxacin and detection of resistant strains is presented in the dataset as a binary result, along with mechanisms of resistance to third generation cephalosporins where relevant. In addition there is comprehensive farm management data including antibiotic usage data. Full details about this dataset can be found at https://doi.org/10.5285/c9bc537a-d1c5-43a0-b146-42c25d4e8160

This dataset contains responses from an online choice experiment with associated socio-economic covariates on the topic of environmental land management schemes. Sample: 348 farmers based in the north of England in 2022. Full details about this dataset can be found at https://doi.org/10.5285/1409404f-564f-43c5-81dd-00339a674dc8

This data were created as part of the NIMFRU project and consists of 21 flood matrices. These have been completed by community members from the project target communities of Anyangabella, Agule and Kaikamosing which are all found in the Katakwi district. Five of the matrices were completed by local district officers. The data were collected in December 2020. These data were collected to understand how communities resilience had changed as a result of the NIMFRU project. Full details about this dataset can be found at https://doi.org/10.5285/463b2bcc-731a-42af-ba69-1662aa21f1bf

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

The dataset contains greenhouse gas fluxes (N2O, CO2 and CH4) following artificial and real sheep urine applied to organic soils within the Carneddau mountain range (556 m a.s.l.) in Snowdonia National Park, North Wales, UK. The study was conducted across two contrasting seasons (summer and autumn). Soil greenhouse gas emission data was collected using a combination of automated chambers and manually sampled chambers, with gas samples analysed via gas chromatography. Supporting data include characterisation of the soil properties at each site, meteorological data, soil moisture and soil chemistry on a time-series following treatment application. The data were used to calculate sheep urine patch N2O-N emission factors, to improve estimates of greenhouse gas emissions from sheep urine deposited to extensively grazed montane agroecosystems. Full details about this dataset can be found at https://doi.org/10.5285/01811fce-1e0f-43be-8649-336b5c51d6cf