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  • This data set includes soil chemical, physical and microbial properties collected across a two-century glacial chronosequence across six streams in Glacier Bay, Southeast Alaska, U.S.A. We measured soil potential nitrification, denitrification, as well as stable isotopes (delta-15N and delta-13C) of leaves and soil to establish how physical and biological changes associated with ecosystem development interact to determine rates of carbon (C) and nitrogen (N) turnover. Secondly, how these interactions were reflected in the isotopic signature of vegetation and SOM. Data were collected between June 2011 and September 2013 during summer sampling campaigns. Full details about this dataset can be found at https://doi.org/10.5285/7c4c1ed0-3d45-4b7f-8007-b81f6028d686

  • This dataset contains vegetation survey data and nitrate and ammonium concentrations, microbial biomass data, particle size, and nitrification and mineralisation rates within soils from an experiment based at Parsonage Down, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. The experiment investigated the effect of different plant groups on soil carbon stores and nutrient cycling, by using a mixture of hand weeding and herbicide spot spraying to create different plant communities on the species rich grassland at Parsonage Down. The resulting carbon and nutrient cycling rates were compared to the characteristics of the plant groups. The experiment ran from 2013 to 2015 and this dataset contains data from 2013 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide. Full details about this dataset can be found at https://doi.org/10.5285/4c7c9343-0624-4249-9ab2-183d49d41fe6

  • The data contains nitrogen (N) offtake, N emissions (ammonia and nitrous oxide), soil parameters (pH, EC, NH4+, NO3−), biomass and grain production from a winter wheat field experiment located at Bangor University (Henfaes Research Station in North Wales) and Rothamsted Research (North Wyke (NW) in Devon). Data were collected between April 2017 and August 2017. Measurements and soil and plant samples were taken from 45 plots in a randomized complete block design. Sixteen extra mini-plots at the prevailing wind (south westerly) edge of the experiment site were used at NW for NH3 volatilization measurements. The treatments were control (C, without N application), food based digestate (D), food based digestate + the nitrification inhibitor 3,4-dimethylpyrazole (DMPP; D+NI), acidified food based digestate (AD), acidified food based digestate + the nitrification inhibitor 3,4-dimethylpyrazole (DMPP; AD+NI). Four rates of ammonium nitrate (NH4NO3; 75, 150, 225 and 300 kg N ha−1) were applied to compare yields and fertilizer replacement rate of the digestate treatments (targeted at 190 kg N ha−1). Soil pH, soil electrical conductivity (EC), soil NH4+ and soil NO3−, NH3 volatilization, N2O emissions were measured periodically for C, D, D+NI, AD and AD+NI and nitrogen concentration in grain and straw, grain yield and plant biomass for all treatments. Nitrogen offtake, losses and fluxes were used to determine the N use efficiency (NUE) and fertilizer replacement rate of the digestate treatments. Measurements were undertaken by members of staff from Bangor University, School of Environment, Natural Resources & Geography and Rothamsted Research, Sustainable Agricultural Sciences – North Wyke. Data was collected for the Newton Fund project “UK-China Virtual Joint Centre for Improved Nitrogen Agronomy”. Funded by Biotechnology and Biological Sciences Research Council (BBSRC) and NERC - Ref BB/N013468/1 Full details about this dataset can be found at https://doi.org/10.5285/836dfb2e-bc6f-47d2-b924-8261be671391

  • This dataset contains anaerobic ammonium oxidation (anammox) and denitrification activity of riverine sediments in the Hampshire Avon catchment (UK). Nine rivers within sub-catchments of contrasting geology (clay, sand, chalk) were investigated. Data were obtained via laboratory incubations (potential data) and direct, field-based measurements (in situ data) in summer 2013. Also included are chemical parameters determined in porewaters prior to in situ rate measurements. Full details about this dataset can be found at https://doi.org/10.5285/d1b08279-68a8-4d93-afa2-576e903cc04d

  • The dataset contains denitrification, anaerobic ammonium oxidation (anammox) and nitrification activity of riverine sediments in the Hampshire Avon catchment (UK). Six rivers within sub-catchments of contrasting geology (clay, sand, chalk) were investigated. Data were obtained via direct, field-based measurements in seasonal campaigns conducted between spring 2013 and winter 2014. Also included are chemical parameters determined in porewaters prior to in situ rate measurements. Full details about this dataset can be found at https://doi.org/10.5285/9d17d85d-eae2-4056-ad77-f1bc1c368b56

  • 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

  • This dataset contains nitrate and ammonium concentrations, nitrification and mineralisation rates, particle size and microbial biomass data from soils taken from an experiment based at Winklebury Hill, UK. The experiment used seeds and plug plants to create different plant communities on the bare chalk on Winklebury Hill and tested the resulting carbon and nutrient cycling rates and compared these to the characteristics of different plant functional groups. The experiment ran from 2013 to 2016 and this dataset contains data from 2013 only. This experiment was part of the Wessex BESS project, a six-year (2011-2017) project aimed at understanding how biodiversity underpins the ecosystem functions and services that landscapes provide. Full details about this dataset can be found at https://doi.org/10.5285/b8e9c03e-4b71-4e3b-9110-820b7bc0bac7

  • Data on the carbon and nitrogen cycling in soils from different geologies within the Hampshire Avon catchment, UK. The dataset also includes functional gene data, anion and cation concentrations, methane production and oxidation potential, and nitrification, denitrification and mineralization rates. Data were collected between February 2013 and November 2014. Data were collected to address the hypotheses of how the functional microbial community involved in carbon and nitrogen cycling changed seasonally and with geology. Data were collected as part of the project "The role of lateral exchange in modulating the seaward flux of C, N, P", funded under NERC's Macronutrients Cycles research programme. Full details about this dataset can be found at https://doi.org/10.5285/83f83414-f644-4684-ad5b-e1237fb12fc5

  • This dataset contains in-stream measurements of sediment porewater nutrients, nitrification rates (and the fraction which is either fully oxidised to nitrate or reduced to N2 gas), and the abundance of microbial 16S rRNA and specific N-cycling genes and transcripts. Sediments were sampled in winter (February 2018) and summer (July 2018), from 12 UK rivers with permeable beds (sand or chalk geology) and a gradient of P concentrations, in the Hampshire Avon catchment, Kent, and Essex. Methods included measurements of porewater nutrients using Skalar SAN++AutoAnalyser, nitrification rates from in-situ ‘push-pull’ injections of 15N-labelled ammonia and -nitrite, and sediment microbial gene and transcript abundance by DNA extraction and qPCR. The work was supported by the Natural Environment Research Council (Grants NE/P01142X/1, NE/P011624/1; A new dynamic for Phosphorus in RIverbed Nitrogen Cycling - PRINCe Full details about this dataset can be found at https://doi.org/10.5285/d432d96c-7aff-45a5-9d4b-37e4065afdd7