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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 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.

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,

It is a new discovery of a boiling water reactor with high fuel utilization.

Temperature data recorded at the interface of a u-tube and the grout of a borehole heat exchanger production well and water temperature as it entered and left the well field. The wells is a central well of a 144 well borehole heat exchanger. Temperature was recorded using a series of thermocouples attached to the u-tube at 50 foot intervals from 50 to 400 feet below ground surface. Temperatures were recorded every hour from 4/17/2017 through 6/23/2017. Temperature of the water entering and leaving the borehole heat exchanger was also recorded. Units are in degrees Celsius. Description of the column headers. Date_Time: Date and time of the temperature measurement. 50_degC: Temperature measurement at 50 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 100_degC: Temperature measurement at 100 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 150_degC: Temperature measurement at 150 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 200_degC: Temperature measurement at 200 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 250_degC: Temperature measurement at 250 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 300_degC: Temperature measurement at 300 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 350_degC: Temperature measurement at 350 feet below ground surface of the interface of the incoming water side of the u-tube and grout. 400_degC: Temperature measurement at 400 feet below ground surface of the interface of the incoming water side of the u-tube and grout. BHE_IN__degC: Temperature measurement of the water entering the borehole heat exchanger. BHE_OUT__degC: Temperature measurement of the water leaving the borehole heat exchanger.

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.

Data files used in the paper.

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