br Acknowledgement The authors acknowledge and thank

Acknowledgement The authors acknowledge and thank the management and proprietors of Covenant University for the funding received towards the completion of this project.
Data We present a collection of electrical chemical i was reading this data and weather-, climate-related and socioeconomic variables in the time domain in Greece. The raw electrical energy data [2] include the hourly energy demand in Greece, the weekly-ahead forecast of the hourly demand and the Ex-ante and Ex-post System hourly Marginal Price (ex-ante and ex-post SMPs). The raw weather- and climate-related data include the daily temperature at the Ilioupolis station in Athens, Greece [3]. We also present the Gross Domestic Product of Greece [4]. The reader can find information for the raw data in the “data sources.txt” file (download location, access date etc.), within the “raw data” folder of Supplementary information (see Appendix A).
Experimental design, materials and methods We wrangled the raw data and we produced the data in the “data_for_energy_in_Greece” subfolder of the “Electrical energy demand visualization,time domain” folder for further processing. You can find these data in the Supplementary information (see Appendix A), while they are summarized in Table 1. The folder \"Electrical energy demand visualization,time domain\" includes the code. To run the code: Both files include the visualizations presented in Tyralis et al. [1]. After knitting both previous files, they appear in the “code_for_energy_in_Greece” subfolder and then we move them manually to the folder \"Code outcome\". In the file \"Electrical_energy_demand_visualization.html\" you can find information about the code e.g. the version of the software and the R packages that were used to produce the visualizations.
Acknowledgements This research has been partly funded by the Greek General Secretariat for Research and Technology through the research project \"Combined REnewable Systems for Sustainable Energy DevelOpment\" (CRESSENDO project, Grant number 5145).
Data The data include information on the properties of modified sulfur concrete:
Experimental design, materials and methods
Acknowledgements The equipment support of the Babol Noshirvani University of Technology is gratefully acknowledged.
Data The datasets were acquired from the Schottky device of a thin Ni layer onto the TiO2 film, which is a route for high-performing transparent photoelectric devices. The fluorine doped-Tin oxide (FTO) glass was used as a substrate, where FTO layer serves as a transparent conductor. A quality TiO2 film was grown by rapid thermal process (RTP). Pure Ti film was initially coated on the FTO layer by sputtering method with 300W onto a 4-in. Ti target (99.99%, iTASCO). After then RTP procedure was applied to transform TiO2 film at 700°C for 10min to ensure the transparency of Schottky type photodetector (Metal film/TiO2/FTO/glass). Various metal oxide films were formed by using different metal species, such as Cu, Mo and Ni. In order to investigate the stability of TiO2 film, the fast diffusion Ni metal was studied for the phenomenon of intrusion into TiO2 film. Fig. 1 and Fig. 2 are provided for the configuration of the transparent Schottky devices (Ni/TiO2/FTO/glass). The optical property was presented in Table 1. Fig. 3 and 4 give the quality of TiO2 film and interfaces. By applying the RTP process, there is no serious degradation of TiO2 layer without pinholes, different from the e-beam evaporation method [2].
Experimental design, materials and methods
Acknowledgements The authors acknowledge the financial support of the Basic Science Research Program through the National Research Foundation (NRF) of Korea by the Ministry of Education (NRF-2015R1D1A1A01059165) and the Korean government (MSIP) (2010-0027963).
Data Strain-controlled block loading (i.e. high-low (H-L), low-high (L-H)), periodic overloading (PO), and variable amplitude (VA) fatigue data of Ti–6Al–4V ELI (a titanium alloy) is presented in this article. H-L, L-H, and PO experiments were conducted using fully-reversed (R =−1), and pulsating (R = 0) strain loadings with various strain amplitudes, ε. The strain ratio, R, is defined as R = ε/ε and strain amplitude, ε, is defined as ε = (ε−ε)/2, where ε is the minimum strain and ε is the maximum strain. The VA tests utilized a variable amplitude loading spectrum (i.e. load history) of various strain amplitudes, ε, and strain ratios, R. For each test condition, two types of data were recorded. These include the cyclic (i.e. hysteresis loops) stress–strain responses recorded in log10 increments, and the maximum (peak) and minimum (valley) values of stress and strain for each cycle. All relevant data has been made available in the Data in Brief (DiB) Dataverse: