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Behavioral output from subjective ratings and memory response times during fMRI task. Output from a spatiotemporal and hippocampal-seed PLS analysis. Preprocessed fMRI contributing to the neuroimaging analysis.
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This dataset is from a research project aimed at investigating the effect of the Student-Teams Achievement Division on students' mathematical reasoning and self-efficacy beliefs. The data were collected from 301 secondary school students aged 14 to 20. The data include participants' demographics, independent variables, dependent variables, mediating variables, and the covariates as applicable to each of the associated prospective manuscripts. The dataset is accompanied by three supplementary files: The R script for a robust ANCOVA procedure, the PROCESS macros for SPSS output and the Multilevel modeling analysis SPSS output.
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Functional data analysis (FDA) is a branch of statistics that analyzes data providing information about curves, surfaces or anything else varying over a continuum. In its most general form, under an FDA framework each sample element is considered to be a function. The physical continuum over which these functions are defined is often time, but may also be spatial location, wavelength, probability, etc.
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In this article, we present a load cell dataset of torques and force during a tele-operated robotic Gas Tungsten Arc Welding in presence of collisions. The dataset comprises raw data of 15 tests with four columns sorted as in Table 1. First column Second column Third column Fourth column Torque on x-axis Torque on y-axis Force on x-axis Collisions Table 1 Description of the raw data columns Torques are numerical values expressed in [Nm] while force values are expressed in [N]. Collisions column, instead, are zeros/ones values indicating whether a collision is verified (i.e., ones values) or not (i.e., zeros values). In addition, tests data are provided in .mat files for eventual processing in Matlab software.
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Data (rectangular box) include XYZ- coordinate (column 1-3) and intensity information (column 4)
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This dataset contains supporting documentation explaining the use of time-dependent concrete material models TDConcrete, TDConcreteEXP, TDConcreteMC, and TDConcreteMC10NL in OpenSees. The dataset contains a manual explaining the use and features of the models, an Excel table for calculating model input parameters and example files using the material model TDConcreteMC10NL on a specific example.
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Matlab code to implement the fill factor estimation including raw data
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Data (trench) include XYZ- coordinate (column 1-3) and intensity information (column 4)
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Matlab codes required to evaluate the feasibility of electrostatic lofting at Bennu, as described in JGR submission, using Zimmerman JGR 2016 charging model. Also, Matlab codes required to propagate trajectories of lofted particles about Bennu.
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Accompanying data for article 'Co-speech movement in conversational turn-taking,' submitted to the journal Speech Communication
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