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This file contains surface and subsurface data from sediment cores from Loboi wetland, Kenya. Surface samples: seed macrophyte and testate amoebae data, geochemistry Core samples C1: seed macrophyte and testate amoebae data, geochemistry, magnetic susceptibility C7: geochemistry, magnetic susceptibility Papyrus: geochemistry, magnetic susceptibility Soil pit: geochemistry,

Responses of soil water content, soil inorganic nitrogen, aboveground and belowground biomass, soil respiration, ecosystem respiration, net ecosystem production, and gross ecosystem production to precipitation variability from a 3-y manipulative experiment (2004-2016) and a 12-y model simulation (2000-2011).

The dataset is composed of the final energy consumption by sector (industry, passenger transport, freight transport, residential, services, and agriculture) and sub-sector/end-use (e.g., chemical industry, cars, truck and light vehicles, space heating, etc.) of Finland. In addition, data regarding passengers and goods traffic, the number of households, the stock of dwellings permanently occupied, the floor area of dwellings, and CO2 emissions are collected. The primary data source is the Odyssee database. The Odyssee data are complemented with data regarding the value added and energy dependence of Finland taken from the World Bank and Eurostat database, respectively. The data of Finland cover the period from 2005 to 2015.

The supplementary material is the complete database extracted from the 40 articles selected for the systematic review. The excel file has two spreadsheets. The spreadsheet named "Articles database" is the complete information extracted from the articles according to the Review Protocol. The spreadsheet named "Bottom-up detailed database" presents the detailed information of the 17 articles classified as "bottom-up" and gives transport-related data type and sources according to the ASIF model

The data is solar incident radiation on building skins ( four facades and roof) of 4 cities together with the analysis for a whole year.

The consequence of exposure to the effluents of power plants that elicits the most concern is probably the induction of cancers. Due mainly to the high uncertainty of epidemiological surveys on exposure to low doses of mutagens, observations performed up to now on man have provided contradictory and inconclusive results. Since a high correlation exists between the mutagenicity of environmental agents and their carcinogenic properties, an attempt has been made to evaluate the carcinogenic potential of the different forms of energy production on the basis of the results of short term tests performed on the effluents of several power plants. Any energy source is associated with such risks and, in spite of the fact that real comparative studies were not available, coal as a source of energy presents obviously higher mutagenic potential than nuclear power. Renewable forms of energy are cleaner but are, however, not entirely devoid of health impacts.

Abstract It has lately been suggested that nuclear power technologies could be used to mitigate potential global warming. Doing this would give nuclear power technology a new role, and would lead to its widespread deployment worldwide. When examined carefully several barriers to accomplishing this goal are evident, even should the uncertainties of global warming become reduced enough that it could be treated as an established fact. These barriers involve the need for alternative forms of nuclear energy, uranium resource limitations, technology development requirements and difficulties in widespread deployment of nuclear power plants. Overcoming the barriers may prove to be much more difficult than has been appreciated todate, and could strongly influence the future research and development agenda for nuclear and associated technologies.

Abstract In this paper a Dynamic Simulation Model has been used to present the likely responses of the electricity industries’ latest perturbations such as: changes in environmental regulations, international fuel market evolution, restriction on fuel supply and increase on fuel prices, liberalisation of the European Electricity Market, and the results of applying energy policies and official tools such as taxes and emission allowances. The case under study refers to the Teruel Power Plant, built after the 1970s oil crisis to ensure national electricity supply; burning domestically produced coal in order to ensure local mining activity. The Teruel Power Plant has made relevant investments in order to meet emission limits, such as a Flue Gas Desulphurisation Plant. The economic viability of the power stations has to be analysed after environmental costs have been internalised. A system is defined that studies the coal-firing Electric Power Plant selling energy to the free electricity market, whenever the generation cost is competitive. A Dynamic Simulation Model would appear to be an accurate tool to optimise power station management within different frameworks.

Abstract The development and application of a standard methodology for evaluating the energy and carbon budgets of biofuel production systems is described, with emphasis on wood fuel production from short rotation coppice. Five major tasks were involved: definition of the system boundary; estimation of energy benefits; estimation of carbon sequestration; estimation of energy costs; estimation of carbon emissions. Calculation of overall energy and carbon budgets required a set of ‘standard’ assumptions about practices and resultant energy inputs to be made. These standard assumptions accounted for all activities involved in production and delivery of biofuel within the immediate vicinity of the farm ( 3.2 km ). The energy ratio, that is the ratio of energy produced to energy consumed by the biofuel producing system, was estimated to be much greater than 1, typically around 30. This energy ratio proved to be very sensitive to assumptions about crop management and wood processing, as well as associated energy inputs, varying from 20 to 64 when model input assumptions were varied between extremes. The carbon emissions coefficient exhibited similar sensitivity to input assumptions. The gross non-renewable energy requirement, that is the total consumption of non-renewable energy associated with the direct consumption of 1 MJ of energy in the form of wood fuel, was estimated to be 0.035 MJ MJ −1 . The carbon emissions coefficient, that is the carbon emitted in producing 1 MJ of energy in the form of wood from short rotation coppice, was estimated to be 0.0013 kgC MJ −1 . Further research is needed to validate input assumptions and to estimate budgets for complete, practical, energy generation systems.