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  • This dataset is a model output from the European Monitoring and Evaluation Programme (EMEP) model for the UK (EMEP4UK) driven by the Weather and Research Forecast model meteorology (WRF) applied to Southeast Asia. It provides daily average concentration of ozone and PM2.5, PM10 and ozone on a 0.1° x 0.1° grid for 2019 for 2 scenarios: (1) A baseline run (BASE) including wildfire emissions and (2) A scenario without wildfire emissions (NOFF). The EMEP4UK model version used here is rv5.0, and the WRF model version is 4.4.2. This work was supported by the Natural Environment Research Council as part of the NC for Global Challenges programme [NE/X006247/1] delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/b8fc9e84-c837-4ecf-a638-c0ef0900b9c3

  • Data comprise site location, soil chemistry information (pH, soil moisture, Loss on Ignition (LOI)), an estimate of ground burn extent and soil biological activity (derived from application of bait lamina sticks) at 23 sites in the Chornobyl Exclusion Zone (CEZ), Ukraine in September 2016, March 2017 and September 2017; there were three replicate plots at each site. The estimated ambient dose rate at each plot is also provided. The primary purpose of these data was to enable an evaluation of the potential impact of wildfire on soil organisms. The work was carried out by UKCEH, Chornobyl Centre for Nuclear Safety and the University of Salford. Funding for this work was via the NERC REDFIRE project (NE/P015212/). Full details about this dataset can be found at https://doi.org/10.5285/7833bdf5-3e85-44d3-8e7d-c9bf0632e38b

  • This dataset contains water chemistry and organic matter composition variables. Water chemistry variables include pH, conductivity, dissolved oxygen, dissolved organic carbon, nutrients, anions, cations and metal concentrations. Organic matter composition variables include metrics calculated from carbon, nitrogen, hydrogen and oxygen concentrations. Water samples were collected from UK surface waters between 2018 and 2021. Water was collected from each site either annually, seasonally or monthly, to determine how organic matter varies over time and space. Site metadata include land use and vegetation cover, catchment area and percentage peat cover. Exact locations of sites are not included, and site names are anonymised. Full details about this dataset can be found at https://doi.org/10.5285/ada28810-040b-4fef-8669-b21bac64a10b