This dataset is part of Integrated Hydrological Units (IHU) of the UK, a set of geographical reference units for hydrological purposes including river flow measurement and hydrometric data collection. A Section is the drainage area of a watercourse between two confluences. Only confluences of named watercourses were considered. Each Section carries a name constructed from names of the major river flowing through the Section, the major river flowing into the Section, and the major river into which the Section flows. Sections are spatially consistent with Groups: each Group is made up of one or more Section. Each Section is associated with one Catchment representing the full area upstream from the Section outlet. Identifiers and attributes have been calculated so that direct upstream and direct downstream IHU units can be selected. This layer currently covers Great Britain only as no dataset with river geometries and names with suitable detail is available for Northern Ireland. Full details about this dataset can be found at https://doi.org/10.5285/a6e37e39-9e10-4647-a110-12d902403095

Data comprise bulk density, loss on ignition, carbon content of peat, nitrogen content of peat, total phosphorus content of peat, soil 13 carbon content and soil 14 carbon content from samples collected during a peat survey in England, Scotland and Wales during 2014. The study was funded by the UK Natural Environment Research Council under the Macronutrient Cycling Research Programme, as part of the Long-Term, Large-Scale (LTLS) project (Grant no. NE/J011533/1). Full details about this dataset can be found at https://doi.org/10.5285/9305b068-f417-4659-9966-d9456f22c331

This dataset contains greenhouse gas flux data and vegetation survey data from an experiment based at Winklebury Hill, UK. The vegetation survey comprises total species percentage cover and species richness data from four 50 cm by 50 cm quadrats. The greenhouse gas flux data comprises net ecosystem carbon dioxide exchange, photosynthesis and respiration data measured with an Infra-red Gas Analyser (IRGA); methane, carbon dioxide and nitrous oxide data measured using gas chromatography; and nitrate and ammonium from soil samples extracted with potassium chloride. 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 2014 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/10.5285/1e9cd575-66a0-4d7e-920c-4ce462efe5ce

The data consist of soil carbon in kilogrammes (kg) of carbon per metre squared. Soil cores were taken to a depth of 1 metre and divided into 15 cm depth increments. Soil carbon (kg carbon per metre squared) was determined for all soil depth increments. The soil samples were taken in the Conwy catchment in North West Wales. Samples were collected in the spring of 2014 across a land use intensification gradient ranging from semi-natural peatlands, acid grasslands to improved grasslands and arable fields. Soil parameters were tested across a land use intensification gradient to detect parameters that can predict aboveground biomass production across different land management types. Data were used to enhance the predictions of biomass production in the Joint UK Land Environment Simulator model (JULES). Measurements informed the improvement of the nitrogen cycle component in the model. This dataset is part of a data series where plant and soil measurements were collected together to increase our understanding of coupled aboveground and belowground processes. Measurements were undertaken by trained members of staff from Bangor University, the Centre for Ecology & Hydrology and Exeter University. This data was collected for the NERC project 'The Multi-Scale Response of Water quality, Biodiversity and Carbon Sequestration to Coupled Macronutrient Cycling from Source to Sea' (NE/J011991/1). The project is also referred to as Turf2Surf. Full details about this dataset can be found at https://doi.org/10.5285/dd6835bf-9c7e-4ad6-95f2-d15f24162fb3

This dataset consists of vegetation abundance data from four experiments investigating the management of arable field options for rare plants. These experiments consisted of a margin management experiment, a herbicide screening experiment, a cereal headland experiment and a crop rotation experiment. All experiments were conducted between 2011 and 2014. The margin management experiment investigated the effects of different cultivation timing and methods and herbicide treatments on the vegetation species composition and abundance within arable field margins. The herbicide screening experiment investigated the effects of different herbicides and their timing of application on the condition of fifteen species of rare arable plants. The cereal headland experiment investigated the effects of standard cereal sowing density versus reduced cereal sowing density, and of standard application of N fertilizer vs no application, on sown rare arable species and on the spontaneous weed flora of cereal stands. The crop rotation experiment was designed to provide baseline data for modelling population dynamics of rare arable species in relation to crop rotation scenarios. The data comes from a project funded by Defra (BD5204: Improving the management and success of arable plant options in ELS and HLS). Full details about this dataset can be found at https://doi.org/10.5285/4592780d-734f-4f62-9780-87afe27555d2

This dataset provides nightly values for activity of two Pipistrelle bat species (Pipistrellus pipistrellus and Pipistrellus pygmaeus) with associated weather and weekly potential food resource data. Bat activity was recorded continually on three ultrasonic acoustic loggers for 185 days (31/04 to 01/11/2014) in an upland pine forest in the Cairngorms National Park, Scotland. Full details about this dataset can be found at https://doi.org/10.5285/cee99bc4-15f7-42a0-bbbc-d3085ebfa486

A measure of the extent and complexity of riprian vegetation upstream of chalkstream sites derived from Light Detection and Ranging (LiDAR) data for three chalkstream sites within the Wessex chalk area (River Till, River Wylye and Nine Mile River). For each site there is an estimate of the minimum, maximum, mean and standard deviation height of vegetation along the banks for a range of distances upstream from the sampling location. Information on the extent and complexity of riparian vegetation upstream of chalkstream sites were used to better understand the relationships between in-stream biological communities and catchment and riparian land use. Stream sites surveyed represented a sample of chalkstreams across a gradient of catchment land cover intensification from catchments dominated by extensive calcareous grassland and woodland (Nine Mile River) to those dominated by arable and improved grasslands (Wylye). LiDAR data were obtained from the Environment Agency in April 2014. This dataset was created as part of work package 3.2 of the Wessex Biodiversity & Ecosystem Service Sustainability (BESS) project. Full details about this dataset can be found at https://doi.org/10.5285/61170f63-5ce0-43e3-8b0e-49c5a47bd3d0

Estimates of in-river concentrations (mg/l) and loads (kg/day) of nutrients to rivers in England and Wales from multiple sector sources, modelled with SAGIS (Source Apportionment GIS). The nutrients include nitrate (mg/l N) and ortho-phosphate (mg/l P); the estimate loads are expressed as kilograms per day (kg/day) and the in-river concentrations as milligrams per litre (mg/l). Sources are both diffuse and point. Diffuse sources include livestock farming, arable farming, highways, urban runoff, background (from soils), onsite wastewater treatment systems and atmospheric deposition. Point sources include treated wastewater effluent, combined sewer overflows and storm tanks, industrial discharges and mine water discharges. Concentrations and loads are modelled using the Environment Agency's catchment river model, SIMCAT, at the locations of model features or every 1 km along each river, taking into account all upstream sources and user defined river losses. SAGIS is a modelling framework was developed through the UK Water Industry Research Programme (UKWIR) project 'Chemical Source Apportionment under the WFD' [1], with support from the Environment Agency and SEPA. The model is also described in [2] [1] UKWIR (2012) Chemical Source Apportionment under the WFD (12/WW/02/3). Final report for UK Water Industry Research, 1 Queen Annes Gate, London, ISBN: 1 84057 637 5. [2] Comber, S.D.; Smith, R.; Daldorph, P.; Gardner, M.J.; Constantino, C.; Ellor, B. (2013) Development of a Chemical Source Apportionment Decision Support Framework for Catchment Management. Environ. Sci. Technol. 47, 9824-9832 Full details about this dataset can be found at https://doi.org/10.5285/8c5d9e38-0244-4a39-8600-a85513a6fecf

This poster on the UKCCSRC Call 2 project Novel reductive rejuvenation approaches for degraded amine solutions from PCC in power plants was presented at the CSLF Call project poster reception, London, 27.06.16. Grant number: UKCCSRC-C2-189. Aqueous amine scrubbing is currently considered to be the best available technology of carbon capture for both pulverised fuel and natural gas power plants. A major problem is the thermo-oxidative degradation of chemical amine solvents used, leading to a range of operational problems and the generation of large quantities of hazardous aqueous waste. However, no existing technologies are able to effectively deal with these problems particularly the handling of the toxic waste solvent streams. The conversion of the degraded amines back to usable solvents or saleable products has been regarded as a novel effective way for cost reduction.

P-wave and S-wave tomographic models for the Northeast Africa region. They have been calculated using relative travel time tomography. For full details of method and models see the following papers: Civiero, C., Hammond, J. O. S., Goes, S., Fishwick, S., Ahmed, A., Ayele, A., Doubre, C., Goitom, B., Keir, D., Kendall, M., Leroy, S., Ogubzghi, G., Rumpker, G., Stuart, G. W. Multiple mantle upwellings beneath the Northern East-African rift system from relative P-wave traveltime tomography, Geochem. Geophys. Geosyst., doi:10.1002/2015GC005948 (2015) Civiero, C., Goes, S., Hammond, J. O. S., Fishwick, S., Ahmed, A., Ayele, A., Doubre, C., Goitom, B., Keir, D., Kendall, M., Leroy, S., Ogubzghi, G., Rumpker, G., Stuart, G. W. Small-scale thermal upwellings under the Northern East African rift from S-wave travel-time tomography, J. Geophs. Res. Doi:10.1002/2016JB013070 (2016). The geographical extent of the models is Latitude: 24.7S - 27.0N, Longitude: 25.4E - 57.2E, Depth: 0 - 900 km. See see hitcount files and papers for areas of reasonable resolution.