The data are biomass and ozone-injury data for white clover (Trifolium repens). Dataset concerns a 2014 study on the effects of Jasmonic acid/cutting in modulating the response of clover to ozone. A short-term (4-week) ozone-exposure experiment was conducted in 2014 to investigate the interactive effects of cutting on ozone-induced responses in white clover (Trifolium repens). A strong interaction was found in root biomass and root nodule biomass in cut white clover plants in a high ozone background (45-67 parts per billion (ppb) treatment mean), suggesting ozone-impacts on root nodule biomass occur through limitation of carbon availability. The work was carried out as part of a NERC funded PhD. Project number NEC04456 Full details about this dataset can be found at https://doi.org/10.5285/10c6df00-c7ef-444b-951f-33a2c0072bec

This web map service presents modelled estimates of soil pH, carbon concentration (g kg-1), nitrogen concentration (% dry weight soil) and invertebrate density (individuals m-2) at 1km2 resolution across Great Britain. A Generalized Additive Model approach was used with Countryside Survey soil data from 2007 and including climate, atmospheric deposition, habitat, soil and spatial predictors. The models are based on data from Countryside Survey sample locations across Great Britain and are representative of 0-8cm soil depth for invertebrates and 0-15 cm soil depth for other variables. The Countryside Survey looks at a range of physical, chemical and biological properties of the topsoil from a representative sample of habitats across the UK. Loss-on-ignition (LOI) was determined by combustion of 10g dry soil at 375 degrees Celsius for 16 hours; carbon concentration was estimated by multiplying LOI by a factor of 0.55. Soil N concentration was determined using a total elemental analyser. Soil pH was measured using 10g of field moist soil with 25ml de-ionised water giving a ratio of soil to water of 1:2.5 by weight. Soil invertebrates were extracted from cores using a dry Tullgren extraction method and enumerated by microscope

The Africa LAM Dataset is a collection of data outputs from a high resolution Numerical Weather Prediction (NWP) Limited Area Model over Africa (the Africa LAM), developed by the Met Office. Data is available for the period 2010 to September 2013. Data covering the period Jan 2010 to mid-March 2011 are from the 20km 38L model configuration while data from mid-March 2011 to 11th September 2013 are higher resolution from the 12km 70L model configuration. This dataset is access restricted to the academic research community only.

The Fire Radiative Power (FRP) is a measure of the rate of radiant heat output from a fire. It has been demonstrated in small-scale experimental fires that the FRP of a fire is related to the rate at which fuel is being consumed (Wooster et al., 2005) and smoke emissions released (Freeborn et al., 2008). This is a direct result of the combustion process, whereby carbon-based fuel is oxidised to CO2 (and other compounds) with the release of a certain "heat yield". Therefore, measuring this FRP and integrating it over the lifetime of the fire provides an estimate of the total Fire Radiative Energy (FRE), which for wildfires should be approximately proportional to the total mass of fuel biomass consumed. This dataset contains Fire Radiative Power (FRP) data over Africa from Meteosat Second Generation (MSG) Spinning Enhanced Visible and InfraRed Imager (SEVIRI) data. Fires are detected by applying Roberts and Wooster's (2008) detection algorithm to SEVIRI data. FRP is estimated using the Middle InfraRed (MIR) radiance method (Wooster et al., 2003). The dataset was produced by Gareth Roberts and Martin Wooster (National Centre for Earth Observation (NCEO), Kings College London). The original SEVIRI FRP (in units of MegaWatts; MW) data are produced at the native spatial resolution of 3 km (at the Meteosat sub-satellite point, decreasing away from this) and a temporal resolution of 15 minutes. See the Section on SEVIRI LSA SAF FRP Product in the SEVIRI FRP data description document for details of how to access these data. The gridded product provided here are spatially degraded to a 1deg x 1deg grid-cell resolution, but keep the 15 minute temporal resolution. The gridded data are netCDF format files, each file containing 4 parameters. Each of the parameters comprise of an FRP dataset consisting of 71 columns, 73 rows and 96 frames, covering the African continent only (not Europe or South America) on a daily basis. The data cover a 12 month time period between February (2004) and January (2005)…which is the first full year of SEVIRI post-commissioning phase data. The spatial coverage of these gridded data are: Upper left Lat = +36.5° Upper Left Lon = -19.5° Bottom Right Lat = -35.5° Bottom Right Lon = +50.5° Parameters: Total_fire_radiative_power Total Fire Radiative Power (FRP) in grid cell Number_of_fire_pixels Adjusted_total_fire_radiative_power Mean_fire_radiative_power The naming convention for the gridded files is: SEVIRI_FRP_[year]-[month]-[day].nc for example SEVIRI_FRP_2004-02-16.nc corresponds to data from 16th February 2004. Each netCDF file contains 96 frames (15 minute frequency) between 00:12 – 23:57. These acquisition times correspond to the end of the SEVIRI image scan where each scan takes ~12minutes to complete. The times are in UTC.

RAPID-WATCH VALOR project investigated how the inclusion of RAPID-WATCH observations into the 'initial conditions', used to start climate model simulations, can refine predictions of the future climate and, particularly, the future state of the AMOC. This dataset collection contains NEMO, FOAM AND ECMWF Model output. The project developed ways to assimilate the RAPID-WATCH and other ocean observations into ocean models which were then used to produce ocean 'syntheses' - complete data sets of our best guess of past ocean state. Similar syntheses were also produced which exclude the RAPID-WATCH observations. Both of these sytheses were then used to start prediction experiments in climate models. By comparing the climate model simulations starting with and without the RAPID-WATCH observations, the impact of the the RAPID-WATCH array observations on climate predictions, and the climate model AMOC were found.

The Quantifying the impact of BOReal forest fires on Tropospheric oxidants over the Atlantic using Aircraft and Satellites (BORTAS) project provides information on the connection between the composition and the distribution of biomass burning outflow, ozone production and loss within the outflow, and the resulting perturbation to oxidant chemistry in the troposphere. The BORTAS team sampled biomass burning outflow over the North Atlantic in summer 2011 the using Facility for Airborne Atmospheric Measurements (FAAM) BAe-146 aircraft. The data were then used to describe the observed chemistry within plumes and to quantify the impact of boreal fires on the North Atlantic region using a nested 3-D chemistry transport model. This dataset contains atmospheric aircraft and model data. Science Objectives of BORTAS: -Sample biomass burning outflow from boreal North America over the western boundary of the North Atlantic during summer 2011 using the FAAM BAe146 aircraft; -Describe observed chemistry within plumes by using the measurements to constrain the Master Chemical Mechanism (MCM), with particular attention to the NOy and organic chemistry; -Derive a reduced chemical mechanism suitable for a global Chemical Transport Model (CTM) that accurately describes chemistry within the plumes; -Quantify the impact of boreal forest fires on oxidant chemistry over the temperate and subtropical Atlantic using a nested 3-D chemistry transport model, driven by a subset of MCM chemistry and by assimilated field measurements; and -Detect, validate and quantify the impact of boreal biomass burning on global tropospheric composition using data from space-borne sensors. The FAAM airborne sampling element of the BORTAS project took place in July and August 2011.

This data provides the results of a survey of the water quality of small streams draining forested and felled catchments across Wales. The water quality measurements are extensive, including analysis of major, minor, trace and ultra-trace elements together with nutrient and standard water quality measures such as pH and Gran alkalinity. Opportunistic sampling was undertaken with the aid for Forest Enterprise staff to sample sites at periods of both dry and very wet weather in order to assess the water quality under baseflow and stormflow conditions, respectively, to assess groundwater and soil endmember chemistries. The work was undertaken as part of a joint NERC, Environment Agency and Forestry Commission funded study to examine the impacts of conifer harvesting and replanting on upland water quality (Neal et al., 1998). Small catchment sites (2 to 5 ha) were chosen single tree and soil type at each location. Across the sites, the number of samplings varied between 1 and 10 depending upon feasibility of sampling. The monitoring period was from the 7th September 1995 up to the 18th November 1997.The scope and range of the Welsh survey work together with the findings are provided by Neal et al., 1998. Full details about this dataset can be found at https://doi.org/10.5285/6361c484-42bd-4e0c-874f-ef22dc55129f

The data are biomass measurements from an ozone exposure experiment, during which Trifolium repens and Lolium perenne were exposed as both monocultures and two-species mixtures to an episodic rural ozone regime in large, well-watered containers within solardomes for 12 weeks. Treatments were elevated ozone (AOT40 (Accumulated Ozone Threshold exposure of 40 parts per billion) of 12.86 ppm h) or control conditions (AOT40 of 0.02 ppm h). Measurements were dry weight, with a cutting height of 7cm above soil level. The distribution of plant material within the canopy was determined by separating material growing in the upper canopy (>14cm) from the canopy edge and the inner canopy for both species. The experiments were carried out in the CEH Bangor Air Pollution Facility. Work was funded by the Centre for Ecology & Hydrology Integrating Fund Initiative. The observed decreases in photosynthetic efficiency and capacity in elevated ozone indicate that the ability of such ubiquitous vegetation to act as a sink for atmospheric carbon may be reduced in future climates. Full details about this dataset can be found at https://doi.org/10.5285/5de90f7a-dec9-4bd5-af52-d0873a09d25d

This is a web map service (WMS) of Digital Surface Model (DSM) data in South West England at a 1m resolution. The DSM covers an area of 9424 km2 that includes all the land west of Exmouth (i.e. west of circa 3 degrees 21 minutes West). The DSM includes the height of features on the bare earth such as buildings or vegetation (if present). The dataset is a part of outcomes from the Centre for Ecology & Hydrology South West (SW) Project.

Data includes raw shoot biomass and yield, production and gas exchange, nodulation and N-fixation and forage quality data, including relative and consumable food values. The impacts of ozone on the growth and functioning of high-sugar ryegrass pasture mesocosms was assessed in year 2013. Pasture mesocosms, containing perennial ryegrass (Lolium perenne L) and white clover (Trifolium repens L), were grown in the early spring and exposed to ozone in solardomes from late April 2013 to the end of September 2013. Ozone (30, 35, 40, 45, 52, 67 parts per billion (ppb) treatment means) had a large effect on the pasture mesocosms. The work was carried out as part of a NERC funded PhD. Project number NEC04456. Full details about this dataset can be found at https://doi.org/10.5285/e0bcdc39-ab79-413c-bf76-d6ffbc510f15