Three field manipulation experiments were carried out during 1993-1995 on the Northern Pennines to investigate the influences of temperature, solar radiation and rainfall on the release of dissolved organic carbon (DOC) from vegetated soil cores using zero-tension lysimeters. The cores were manipulated by being translocated to four sites down a climatic gradient, by artificial soil heating or being exposed to double normal rainfall. In each experiment three soil types, a brown earth, a micropodzol and a peaty gley, with differing organic matter content and distribution within the profile, were studied. DOC data, expressed as mg C m À2 day À1 , were analysed following log 10 transformation, by a repeated measures analysis of variance procedure, using climatic variables measured concurrently with sampling, and 1 and 2 months before sampling. DOC release was dominated by rainfall but was also associated with solar radiation and temperature. With each of the three climatic variables, rainfall, solar radiation and temperature, both positive and negative effects on DOC release have been found significant, indicating that the concurrent and delayed effects of the same variable may be different. DOC release was positively related with all three soils to concurrent rainfall, indicating rainfall's primary leaching action. DOC release was also negatively related to rainfall of the previous month indicating that its action depletes the leachable pool of DOC in the soil. DOC release was positively associated with solar radiation 2 months earlier, indicating that DOC's main source is that of primary production; DOC peaks closely followed peaks of annual primary production. DOC release was linked with temperature, the strongest association being with temperature 2 months earlier, indicating that temperature effects both primary production and DOC regeneration via organic matter decomposition. A conceptual model, relating our findings to those processes known to govern DOC release from soils, has been presented.

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Article (refereed) -postprintTipping, E.; Rowe, E.C.; Evans, C.D.; Mills, R.T.E.; Emmett, B.A.; Chaplow, J.S.; Hall, J.R.. 2012 N14C: A plant-soil nitrogen and carbon cycling model to simulate terrestrial ecosystem responses to atmospheric nitrogen deposition. Ecological Modelling, 247. 11-26. 10.1016Modelling, 247. 11-26. 10. /j.ecolmodel.2012 Contact CEH NORA team at noraceh@ceh.ac.ukThe NERC and CEH trademarks and logos ('the Trademarks') are registered trademarks of NERC in the UK and other countries, and may not be used without the prior written consent of the Trademark owner.

Abstract. The data set "Spatial datasets of radionuclide contamination in the Ukrainian Chernobyl Exclusion Zone" was developed to enable data collected by the Ukrainian Institute of Agricultural Radiology after the Chernobyl accident to be made publicly available. Data for samples collected between May 1986 (immediately after Chernobyl) to 2014 are presented. The dataset includes, results from comprehensive soil sampling across the Exclusion Zone (includes 137Cs, 90Sr and soil property data), Pu-isotopes activity concentrations in soils (including distribution in the soil profile), analyses of "hot" (or fuel) particles from the CEZ (data from across Europe are also included), results of monitoring in the Ivankov region adjacent to the Exclusion Zone. Recently, the CEZ was suggested as a "Radioecological Observatory" i.e., a radioactively contaminated site that will provide a focus for joint, long-term, radioecological research which will help address challenges identified for the field of radioecology. For this to be successful, relevant data for the CEZ need to be made openly available; indeed the deficiency of open data has been highlighted as one of the causes for the lack of scientific consensus with regard to published studies from within the CEZ and more recently areas affected by the 2011 Fukushima accident. The data presented here are a first step in this process. The data and supporting documentation are freely available from the Environmental Information Data Centre under the terms and conditions of the Open Government Licence: https://doi.org/10.5285/782ec845-2135-4698-8881-b38823e533bf.