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This Excel model encodes the analytical capability required to undertake an application of the adapted National Infrastructure Systems Modelling (NISMOD) capability, which has been developed by the Infrastructure Transitions Research Consortium (ITRC) - a UK based research consortium, led by the University of Oxford. Through a partnership between the United Nations Office for Project Service (UNOPS) and the ITRC, an initial national infrastructure assessment for Curaçao, known as Evidence-Based Infrastrastucture Assessment, has been performed. The focus of this model lies on one priority sector for the SIDS Curaçao: 'Waste Management'.

Materials:Rice straw, pine sawdust and Phoenix Tree's leaf were selected as the main biomass of this study. Algorithms and methods:Coats-Redfern integral method,Doyle method,Distribution Activation Energy Model (DAEM): The database contains all the original data, intermediate data and final results used in the paper. Fig. 1 was schematic diagram of WRT-3P high temperature TGA and gas flow routes Fig. 2 was influence of particle size on biomass pyrolysis kinetics (a) TG curves of rice straw (b) DTG curves of rice traw (c) TG curves of pine sawdust (d) DTG curves of pine sawdust (e) TG curves of Phoenix Tree's leaf (f) DTG curves of Phoenix Tree's leaf Fig. 3 was influence of heating rate on different biomass (rice straw, pine sawdust and Phoenix Tree's leaf) pyrolysis kinetics (a) TG curves of rice straw (b) DTG curves of rice traw (c) TG curves of pine sawdust (d) DTG curves of pine sawdust (e) TG curves of Phoenix Tree's leaf (f) DTG curves of Phoenix Tree's leaf Fig. 4 was potassium concentration of initial and soaked rice straw Fig. 5 was influence of K+ on rice straw pyrolysis kinetics (a) TG curves (b) DTG curves Fig. 6 was the relationship between and 1/T of three kinds of biomass with a particle size of 0.150 - 0.180 mm at different heating rates. (a) 5℃/min (b) 10℃/min (c) 20℃/min (d) 40℃/min Fig. 7 was the apparent activation energy of biomass pyrolysis obtained by DAEM.

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

Maps of Köppen classification are done from Temperature and precipitation obtained by the Global Circulation Model IPSL-CM5A-LR. The model runs under different scenarios: RCP8.5 and ice sheets melting superimposed to RCP8.5.To reproduce the ice-sheet melting, freshwater is put in the North Atlantic (corresponds to Greenland melting) or around West-Antarctica. Freshwater is introduced between 2020 and 2070 under the RCP8.5 scenario and the total volume corresponds to a sea level rise of 0.5m, 1m, 1.5m and 3m. For the Antarctica and Greenland + Antarctic scenarios, only the 3m scenario is available.Five time series of Global Köppen classification with 20-year running mean are available in this repository. The maps are produced annually with a resolution of 0.5 ° X0.5 ° and contain the 31 classes of Köppen.1951 and 2005 for historical run (historical)2006 and 2099 for RCP8.5 scenarios (RCP85)2006 and 2099 for Greenland melting (GrIS05m, GrIS1m, GrIS15m, GrIS3m)2006 and 2099 for Antamelting (WAIS3m)2006 and 2099 for Greenland melting (GrWAIS3m)The annual maps are in Geotiff format produced by raster library with R langage. Each Köppen's class corresponds to a number between 0 (sea) and 35. The Excel file (Descriptions of classification.xlsx) give the correspondance between the number and the Köppen classification name (abreviations or full name). The legendQGIS_Koppen.qpt permits to draw map from each geotiff file with the correct classes and colors with QGIS.

Research Data Table 1 is a table of the georreferenced historical (literature-based) and species surveys occurrence points for Ctenomys magellanicus (Rodentia, Caviomorpha). These points are the raw data for the analyses performed in this work. Research Data Table 2 is the result of fitting 120 models (EDM) with different features combination.

The data contained in the Excel file is self-explanatory.More information may be added to this section later. Add cookbook info describing variables.

We employ qualitative content analysis on 29 survey responses from local officials around Japan’s 200 largest mega-solar plants constructed since 2012. Japan’s energy market has seen the siting and construction of over 2800 new mega-solar power plants since the introduction of the Feed-in Tariff policy in 2012. While scholars have highlighted the potential for community-engaged renewable power development with social benefits for local residents, many major mega-solar projects have instead resulted from industry-led initiatives in locations, largely avoiding community engagement. In this study, we draw from distributive energy justice perspectives to analyze social equity impacts of the mega-solar siting process. In our paper, we contextualize results through 18 interviews with relevant actors in six case studies. We find that given the existence of the Feed-in Tariff and sufficient solar irradiation, the availability of underutilized land decreases community bargaining power compared to historical power plant siting agreements. This results in primarily land leasing benefits and municipal tax revenue with minimal additional social impacts, such as employment. In our paper, we outline a model of causation for mega-solar social equity impacts, Japanese policy implications, and directions for future quantitative research.

monthly data in the experiment of 2xCO2, and 4xCO2.