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Data for articles
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Raw images that were used to compile a movie from tensile tests of Haynes 282 superalloy in SSA condition involving using of non-contact strain measurements.
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CAD and material properties of the monumental atrium of the Engineering Faculty Building in Bologna
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We share high-resolution figures that present research networking of Russian borderland with adjacent European countries. Spatial scientometrics is applied for capturing the geographical patterns in inter-regional research collaboration across national borders.
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The purpose of this research was to analyze the teaching method based on the didactic contest in organization of the teaching process in higher education. Scientific, pedagogical and methodological analyses of showed that the most serious attention is given to didactic contest in various fields of knowledge: pedagogy, psychology, biology, cultural studies, sociology, ethnography, etc. Didactic contest can be presented in the different forms, content, character and playing positions.
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This dataset contains raw data generated during simulations, as well as analysed data and graphs. The folder called "Scripts" contains all the script used to generate the data. Readme.txt file inside the folder contains a description regarding how to run the modelling. There are 6 compressed folders corresponding to the 5 different groups of experiments we set up: 1) Simulations where there was no reproductive decline, and where we varied the number of progeny produced by live adult at each timepoint. 2) Simulations where there was reproductive decline, and we tested different reproductive schedules. 3) Simulations where reproduction happened only at day 1 of adulthood, and we varied the number of progeny produced by day 1 adults. 4) Simulations where 4 progeny were produced only at day 1 of adulthood and we varied the number of food that adults consume. 5) Simulations where 4 progeny were produced only at day 1 of adulthood and we varied the number of food that larvae consume. 6) Simulations where 4 progeny were produced only at day 1 of adulthood were a control. We varied amount of food source, shape of food source, grid size, the number of founders. It includes simulations when adult food consumption was declines according to Huang et al 2004 or after day 2 Each subfolder in these folders (i.e. "2_progeny_per_timepoint" subfolder in the unzipped "1_No_reproductive_decline" folder ) corresponds to a particular simulation experiment where reproductive schedule and food consumption rates for adults and larvae are fixed. So, the subfolder contains the result for 4500 simulations (5 different lifespans * 9 different dispersal speeds * 100 repeats). Each subfolder (that corresponds to reproductive schedule and food consumption) also contains a file called run3_fast.py where all the parameters for the simulation are written, and 4 subfolders: 1_Raw_data_by_timepoints, 2_All_conditions__by_timepoints, 3_each_condition__over_all_timepoints, 4_all_conditions_over_all_timepoints 1_Raw_data_by_timepoints – contains raw data from the in silico experiment for all 4500 simulations for each timepoint. Each timepoint is a separate table. 2_All_conditions__by_timepoints – contains different folders where results over all 100 repeats are averaged for all 45 lifespan*speed combinations for each timepoint 3_each_condition__over_all_timepoints – in this folder it is shown how particular metrics (i.e. number of dauers) changes over timepoints for each of 45 pairs of lifespan*dispersal speed 4_all_conditions_over_all_timepoints – the folder contains graphs where all 45 lifespan*speed combinations or 9 speeds for each of 5 lifespans are shown over all timepoints for: number of adults – number of adults at a timepoint. share of food consumption by adults – cumulative share of food consumed by adults by a timepoint. L2S__max – maximum number of dauers by a timepoint. L2S – number of dauers at a timepoint L2S_sum – sum number of dauers by a timepoint.
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This supplementary material is related to the article "Knowledge hubs of Russia: bibliometric mapping of research activity" published in a Journal of Scientometric Research (http://www.jscires.org). We share the dataset and high-resolution figures that showcase research patterns for excellence centers located around millionaire cities in 50 and 100 km zones. Figure 1 shows the agglomeration effect on the integration of cities in research collaboration. Figure 3 presents the agglomeration effect on the global competitiveness of cities. Figure 5 demonstrates the agglomeration effect on specialization and publication activity by cities. The numbering follows the one given in the original article. The dataset reveals numbers behind Figures2&4: distribution of cities by indicators under study.
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In this repository are the native and processed (raster, shapefiles, csv) files used to calculate the landslide susceptibility. You can find the scripts in python 3x for each of the proposals analyzed in our research, as well as the ROC curves and the calculation of AUC. Spatial information is projected in the MAGNA-SIRGAS coordinate system EPSG 3116.
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Raw and analyzed data sorted by figure for "Effect of Carbide Formation on Phase Equilibria and Compositional Modulation of Transformation Properties in (Mn,Fe)2(P,Si) Alloys" manuscript
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