The data consists of names, types, voltages, constraint status and national grid references for 56,865 electricity substations (33 kV or larger) in Great Britain in 2018. It was compiled from information on individual transmission or distribution network operator websites and interpreted to produce a classification of constraint status (where applicable). The data set was compiled from information on individual transmission or distribution network operator websites. The work was funded by the Natural Environment Research Council Award NE/M019713/1. Full details about this dataset can be found at https://doi.org/10.5285/0eed5c99-f409-4329-a98e-47f496bb88a2

The dataset contains the chemical composition of anaerobic digestates derived from source-segregated food waste & agro-waste, with and without biomass ash, after the addition commercial polymer to enhance dewaterability. A preliminary experiment was carried to determine the type of polymer and its optimum dose (WP1A1). Then, polymer was added to digestate and digestate/ash blends, let react for short-time and physically separated into their fiber and liquid fractions (WP1A2). These experiments were carried out in the laboratory during 2016, being measured via a combination of internal and external laboratories. Preliminary experiment (WP1A1) contains data on polymer type, dose and mass added as well as supernatant and solids separated. Main experiment contain data on masses (dry & total solids), supernatant volume, pH and plant macro-nutrients profile (total concentration of Ca, Mg, P, K, TKN and S). Full details about this dataset can be found at https://doi.org/10.5285/2977fc7b-f83e-4696-b06b-2f589ffa6965

This dataset contains the results of a sanitary risk inspection for different groundwater sources in Kisumu, Kenya. A total of 70 groundwater sources were surveyed between February and March 2014. The survey took the form of an observation checklist that identified contamination hazards at well heads and in their immediate surroundings. Data on well depth, electro-conductivity, pH and temperature were also collected. The data were collected as part of the Groundwater2030 project, which aims to reduce the health problems that result from consumption of contaminated groundwater in urban areas of Africa. The project was co-ordinated by the University of Southampton, with partners at the University of Surrey, the Victoria Institute of Research on Environment and Development (VIRED) International, and the Jaramogi Oginga Odinga University of Science and Technology. The project was funded by the Natural Environment Research Council and the Department for International Development as part of the Unlocking the Potential of Groundwater for the Poor (UPGro) programme. Full details about this dataset can be found at https://doi.org/10.5285/bc1a979b-7cc9-4c9d-9fe4-a8510cd62f8e

This report is a contribution to the Strategic Environmental Assessment (SEA5) conducted by the Department of Trade and Industry (now Department of Energy and Climate Change). A review of the coastal distribution and abundance of swans and geese in the SEA 5 area, including migration routes, key feeding areas and roosting areas was carried out. A review of the potential impacts of offshore wind farms on swans and geese was also conducted. The study area was defined as the east coast of Scotland from the English border north to John O' Groats, including Orkney and Shetland, and the offshore waters in the SEA 5 area. The review considered nine species: mute swan, Bewick's swan, whooper swan, bean goose, pinkfooted goose, white-fronted goose, greylag goose, barnacle goose and brent goose. Offshore wind farms may impact birds directly by mortality from collisions or indirectly by displacement from migratory flyways or local flight paths. At present there are very little data on the effects of offshore wind farms on swans and geese. Of the nine species reviewed, five species, whooper swan, mute swan, pink-footed goose, greylag goose and barnacle goose occur in internationally important numbers at coastal sites in the SEA5 area. Greenland white-fronted goose occur in nationally important numbers.

This document is intended to provide an introduction for non-specialists to the key activities and potential sources of environmental effects associated with oil and gas exploration and production. It forms part of the information base for the Department of Trade and Industry's (now Department of Energy and Climate Change) Strategic Environmental Assessment (SEA2) process in the North Sea.

This report is a contribution to the Strategic Environmental Assessment (SEA6) conducted by the Department of Trade and Industry (now Department of Energy and Climate Change). This report considers the major sources of contamination to the Irish Sea from offshore energy installations and puts them in the context of other sources of contamination to the region. The report also considers contamination of the wider environment, making use of data provided by monitoring programmes and other specific studies. The oil and gas industry in the Irish Sea is small by comparison to that of the North Sea, but bears comparison to that of the Southern North Sea which is dominated by gas production and for which many of the platforms are in relatively shallow water. The discharge of production and drilling chemicals, residual oil and compounds derived from the formation water co-produced with the oil or gas contribute to the contamination concentration in sediments and water. However, in Liverpool Bay and Morecambe Bay, where the oil and gas fields are located, the riverine inputs of major groups of organic contaminants and metals are found to be several orders of magnitude greater than those from the offshore oil and gas industry. Inputs of artificial radionuclides into the Irish Sea are dominated by discharges from Sellafield on the Cumbrian coast. The distribution of radionuclides in seawater, in the sediment and in biota are reviewed.

This report is a contribution to the Strategic Environmental Assessment (SEA3) conducted by the Department of Trade and Industry (now Department of Energy and Climate Change). This study provides forecast information on probable activity levels, capital expenditure, tax revenues and employment resulting from exploration and production in the SEA3 area. The SEA3 area comprises 330 blocks or part blocks in the Central and Southern North Sea. Estimates were made of the reserves which might be discovered or developed. A cautious view was taken of the number of new developments which might emanate from licensing the area. The related exploration, appraisal, development and decommissioning costs were then estimated. Economic modelling was undertaken for different oil and gas prices to calculate for each development gross revenues, development costs, operating costs, and decommissioning costs. The taxation implications were also calculated. The impact of licensing the SEA3 area on the level of employment in the UK has been calculated. The proposed licensing would make a modest but worthwhile contribution towards moderating the downward trend of employment in the North Sea industry.

This report is a contribution to the Strategic Environmental Assessment (SEA5) conducted by the Department of Trade and Industry (now Department of Energy and Climate Change). The SEA5 review differs from previous assessments in that the zone includes a large coastal fringe, along the whole east coast of Scotland and the Northern Isles, and contains a diverse range of habitats, from inter-tidal rocky shores and sandy beaches, to the shallow sub-littoral and deepwater mud basins offshore. These habitats support a wide range of invertebrate resources, of which six species of crustacean, four species of bivalve mollusc and two species of gastropod mollusc form the basis of a thriving shellfish fishing industry in Scotland. The landings are dominated by the Norway lobster, Nephrops norvegicus which occurs in four main areas, one of which, the Fladen ground, is in close proximity to mature oil fields. The fishery for this species in the North Sea is likely to increase, with diversion of effort from the demersal fisheries for cod and other whitefish. Much of this expansion should take place at Fladen where the stock is at present under-exploited. It is likely, however, that trawl gear used in the Norway lobster (and pink shrimp) fisheries will be required to be more selective in order to reduce the by-catch of demersal fish, especially cod, and the wastage through discarding of under-sized fish. Relevant aspects of the biology of each species are described, including habitat preference, distribution, feeding, life-cycle, reproduction and spawning. Details are given about the fishing methods used, assessments of the state of stocks, and the management regime and legislation currently used to control each fishery.

The data consist of species level descriptions of macroinvertebrate communities from two abstracted streams in the Lowther catchment, UK, upstream and downstream of abstraction points. Supporting habitat and geographical data are included. Full details about this dataset can be found at https://doi.org/10.5285/df65085c-d376-413e-9fbc-984f7b332878

This dataset contains free residual chlorine, turbidity, nitrate, chloride, sulphate, fluoride, phosphate and thermatolerant coliform concentrations in groundwater from a variety of sources within two neighbourhoods of Kisumu, Kenya. A total of 73 groundwater sources were tested between February and March 2014. The data were collected as part of the Groundwater2030 project, which aims to reduce the health problems that result from consumption of contaminated groundwater in urban areas of Africa. The project was co-ordinated by the University of Southampton, with partners at the University of Surrey, the Victoria Institute of Research on Environment and Development (VIRED) International, and the Jaramogi Oginga Odinga University of Science and Technology. The project was funded by the Natural Environment Research Council and the Department for International Development as part of the Unlocking the Potential of Groundwater for the Poor (UPGro) programme. Full details about this dataset can be found at https://doi.org/10.5285/4062e6d9-2e90-4775-87f1-179dea283ef1