Empirical and modelled data from a model investigation into the consequences of nitrogen (N) deposition and nutrient manipulation on carbon (C) and nutrient cycling in phosphorus (P)-limited grasslands. Empirical data show above-ground biomass C, soil organic C and total soil N from two grassland types at Wardlow Hay Cop in the Peak District national park, UK. Wardlow is a long-term nutrient manipulation experiment (> 25 years) investigating the consequences of N deposition on grassland ecosystems. These data were collected during the summer of 2019 and were combined with total soil P data collected previously to form a dataset for inclusion in a CNP biogeochemical cycling model; N14CP. We use these empirical data to drive and calibrate the N14CP model in order to develop our understanding of the C, N and P dynamics of the two grasslands. Specifically, we investigate how potential differences in organic P cycling between the two grassland types may explain their contrasting responses to long-term N deposition and further experimental treatments. Accordingly, the bulk of this dataset is modelled data derived from the empirical data, and relates to the responses of plant C, soil C, N and P to N deposition and nutrient manipulation. This includes data on the CNP budgets of the modelled grasslands, P-cycling parameters used within the model, comparisons of empirical to modelled data, and changes in CNP pools resulting from N deposition and nutrient manipulation. Full details about this nonGeographicDataset can be found at https://doi.org/10.5285/98b473c7-3ca9-498d-a851-31152b1f1da7

This dataset contains field data on nitrous oxide (N2O) emissions, microbial community composition, crop yield and growth and soil biochemical properties. The field trial consisted of three different treatments of control, conventional microplastic addition and biodegradable microplastic addition where winter barley was grown. The data presented are from field and laboratory measurements. Data was collected by the data authors. The field trial was carried out from September 2020 to July 2021 at Henfaes Field Centre, UK. Research was funded through NERC Grant NE/V005871/1. Do agricultural microplastics undermine food security and sustainable development in developing countries? Full details about this dataset can be found at https://doi.org/10.5285/a5410834-1c38-455b-a850-3fb3434d4bb0

The dataset contains chemistry data from streambed porewater (10 and 20 cm) and surface water, as well as nitrogen chemistry data at 2.5 cm resolution within the upper 15 cm of the streambed. The dataset includes concentrations of dissolved organic carbon (DOC), carbon dioxide, methane, ammonium, nitrate, nitrite and nitrous oxide, and isotopic ratios of δ13CCO2, δ15NNO3+NO2 and δ18ONO3+NO2. Also included are measurements of dissolved oxygen and temperature. Samples were collected from three reaches within the stream, an upstream sandy reach, a mid-stream sandy reach and a downstream gravel reach. The work was carried out with Natural Environment Research Council (NERC) funding through a PhD (NERC award number 1602135), grant (NE/L004437/1) and Life Sciences Mass Spectrometry Facility grant (CEH_L102_05_2016). Full details about this dataset can be found at https://doi.org/10.5285/00601260-285e-4ffa-b381-340b51a7ec50

The dataset contains measurements of fluorescein, dopachrome and nitrous oxide production from incubation experiments of streambed sediments. The sediments were collected in five pseudo-replicates from 0 to 10cm depth using a 5cm-diameter AMS slide hammer and trowel at two locations within the Wood Brook, Staffordshire, in June 2015. Samples were collected from two reaches within the stream, a mid-stream sandy reach and a downstream gravel reach. The sediment was used in laboratory incubation experiments to determine rates of fluorescein diacetate (FDA) hydrolysis (total microbial activity), extracellular phenol oxidase activity (recalcitrant carbon uptake) and potential denitrification from sand versus gravel sediments. Also included is the organic matter content of the sediments. The work was funded by the Natural Environment Research Council. Full details about this dataset can be found at https://doi.org/10.5285/500193f7-2653-4696-8224-276a734ed6ab

The dataset contains measurements of soil temperature and volumetric water content from plots in agricultural grasslands in the Hampshire Avon catchment (UK) from late-2013 to September 2015. Manipulations of soil temperature were made at three orthogonal experiments in three sub-catchments of contrasting geology (chalk, clay and greensand) between May and September 2015. Full details about this dataset can be found at https://doi.org/10.5285/6868abb7-db38-4362-92d5-f5d0140bdfc3

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

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 instantaneous fluxes of carbon dioxide, methane and nitrous oxide from intact lysimeters in agricultural grasslands in the Hampshire Avon catchment (UK). Manipulations of soil temperature, soil water saturation, additions of nitrogen, phosphorus and of nitrogen and phosphorus were made at three orthogonal experiments in three sub-catchments of contrasting geology (chalk, clay and greensand). Fluxes of carbon dioxide were directly measured continuously during 2014 and 2015 using automated chamber approach, and fluxes of methane and nitrous oxide were measured in 'campaign' mode. Flux measurements consisted of chamber closure for 180 seconds, except when in 'campaign' mode when measurement periods were extended to 300 seconds. Full details about this dataset can be found at https://doi.org/10.5285/8031c2c1-7032-4958-b314-7664d747b988

To identify and quantify soil N species over a full growth season, small volumes of soil were removed from each sampling site 5 times during the field season and extracted in the laboratory. Bare soil at higher elevations, namely Observation Bluff, Factory Bluffs, Jane Col and lower parts of Spindrift Col; Soils from below mosses on the Backslope and on Moss Braes. Soils from below higher plant species at Bernsten Point, Factory Bluffs, Moss Braes and North Point. Orthinogenic soils from around penguin colonies at Gourlay peninsula, Spindrift rocks and North Point and disturbed soil from around Signy Base were collected.

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