Contributors: Folarin Erogbogbo
... Graphene Quantum Dots (GQDs) and epoxy have been combined into a nanocomposite and evaluated for their thermal and dynamic mechanical properties. Samples of varying GQD mass loading were first examined with SEM in several images. Thermal conductivity was estimated using Differential Scanning Calorimetry (DSC) with a step analysis technique and analysis program. Several dynamic mechanical properties were recorded using Dynamic Mechanical Analysis (DMA) and displayed in their raw and analyzed formats.
Appendix Data - Jason Matthew Lund - Dissertation, "Advanced Techniques for Carbon Nanotube Templated Microfabrication"
Contributors: Jason Lund
... This dataset consists of the publicly publishable data from which results were taken for the Dissertation of Jason Matthew Lund, "Advanded Techniques for Carbon Nanotube Templated Microfabrication". Chapter 2 AFM data: 100um x 100um and 2um x 2um scan areas. Chapter 4 Thermal barrier data: Thermal conductivity measurements and analysis code, Raman Spectra, Compression Test Data. Chapter 5 Porosity data: 20um x 20um and 5um x 5um raw SEM demo images along with processed versions of the images that show pore segmentation. Also included are the python scripts used to binarize images and run porosity, centroid, and second moment of area calculations. Misc. Useful Code: Various python scripts and latex snippets that were useful during the course of this work. BibTex bibliography is included. List of useful software is included.
Contributors: Meiyan Xu
... This data set is for the paper of Learning EEG Topographical Representation for Classification via Convolutional Neural Network, providing part of the experimental results and running procedures. To run the sample code provided, please unzip the zip file into a folder of the same name, and then run the code.
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Contributors: Balamurugan S, Varadhan SKM
... The dataset presented in the article comprises of finger forces of participants during a finger pressing task. The finger pressing task involves the production of fingertip forces using Index, Middle, Ring, and Little (I, M, R&L) fingers of the right hand. During experimentation, first, the participants performed the Maximum Voluntary Contraction (MVC) task, where they were instructed to produce maximum possible force from each finger individually and all together. The MVC task is followed by the finger pressing task that involves two conditions, i.e., without the epilogue and with the epilogue. The epilogue is a particular case of post-trial visual feedback where only the outcome of the just-concluded trial is shown to the participant. The force levels in the experiments of both these cases were normalized with respect to MVC. Fourteen healthy participants were recruited for the experiments and were instructed to produce fingertip forces using four fingers of the right hand with the target line at 15% MVC (15% of the force that they produced in the MVC task). Each of the two conditions has 30 trials, and the subjects performed 60 trials in total for the complete experiment apart from the MVC task. A single trial of both the conditions lasted for sixteen seconds, where for the initial eight seconds, there is visual feedback followed by the visual occlusion period where there is no visual feedback. For the experiment involving epilogue the participants were shown the feedback of the just-concluded trial, whereas for the without epilogue case, they were not given any post-trial feedback. The dataset consists of three files; the first file has the data of Maximum Voluntary Contraction (MVC) data, the second file has the data of without epilogue case, and the third file has the data of with epilogue case.
A neuropsycholinguistic chronometric embodied cognition investigation of the vertical representation of affect in visuo-spatial target detection
Contributors: Christopher Germann
... In two psychophysical experiments we investigated if experimentally induced affective states (positive vs. negative mood induced by film-clips) bias subsequent performance in a computerised visual singleton target detection task. Neuropsycholinguistic research indicates that affective conceptual metaphors consistently associate positive affect with elevated vertical spatial positions and negative affect with depressed spatial positions. According to the generic neuronal theory of thought and language, these semantic percept-concept association are neurocomputationally encoded in Gestalt circuits according to Hebbian principles of long-term potentiation/depression (LTP/LTD) and spike-timing depended plasticity (STDP), inter alia. Based on this theoretical background we predicted a priori that positive experimental mood induction facilitates reaction times (RTs) for target detection in the superior visual field (VFS) relative to the orthogonal inferior visual field (VFI). Vice versa, we expected that negative mood induction facilitates target detection RTs in VFI relative to VFS (Experiment 1 and 2). In addition, Experiment 1 explicitly tested the prediction that affective states bias perceptual judgments on the horizontal axis. Ex hypothesi, we predicted that positive mood induction facilitates target detection RTs in the right temporal visual field (VFR) compared to the contralateral left field (VFL). Per contrast, we predicted the inverse effect for target detection RTs in VFL versus VFR. Impetus for the last hypothesis was derived from the neuropsychological valence model of hemispheric processing of emotion perception which postulates asymmetric neuronal lateralisation for specific classes of emotions. The data did not corroborate our directional predictions. All a priori formulated hypotheses were falsified in a quasi-Popperian sense (in support of the urgently needed open-science revolution we provide a URL to the raw data for the purpose of statistical cross-validation and/or analytical reviews). Implications of the findings are discussed in the generic theoretical framework of embodied cognition and we will expound the crucial importance of negative results in a meta-analytic context (e.g., big-data AI machine learning / publication & confirmation bias). Furthermore, the de facto irrational epistemological basis of current publishing praxis is criticised from a universal philosophy of science vantage point. We will close with a critical embodied cognition discussion of the detrimental effects of constant screen exposure (e.g., ocular fixation on *smart*phones) on the development of the neuroplastic sensorimotor architecture of children.
5 Point Likert Scale Primary Data for Drivers of Institutional pressure, Product Stewardship and the Adoption Propensity of Green ICT in Malaysia
Contributors: Kazi Sirajul Islam, Saravanan Muthaiyah, Gun-Fie D. Yong
... The data have been collected from survey questionnaires based on a 5 point Likert scale and inserted into the SPSS software for screening. Later, these data have been analyzed through PLS software. The data are consisted of drivers of Institutional pressure such as Coercive pressure, Mimetic pressure and Normative pressure. The data also are consisted of the variables such as Product Stewardship and the Adoption Propensity of Green ICT (Information Communication Technology) in Malaysia. Result shows that out of three (3) drivers, only Normative Pressure is significant towards the Adoption Propensity of Green ICT in Malaysia. Product stewardship is also significant towards the Adoption Propensity of Green ICT in Malaysia. Thus, it gives the policy makers a distinct direction regarding the right factors to consider in order to have Green ICT industry in Malaysia.
Dataset on tip vortex formation noise produced by wall-mounted finite airfoils with flat and rounded tip geometries
Contributors: Tingyi Zhang, Danielle Moreau, Thomas Geyer, Con Doolan
... This dataset consists of measurements of tip vortex formation noise produced by finite-length airfoils with flat and rounded tips. These data were obtained using the specialist aeroacoustic test facilities at the Brandenburg University of Technology (BTU) in Cottbus, Germany and a 47-channel planar microphone array. Over 1200 unique test cases with variations in airfoil profile shape, tip geometry, angle of attack and Reynolds number were measured during the experimental campaign. The dataset contains one-third-octave band tip noise spectra that have been processed using Acoular, a Python module for acoustic beamforming.
Contributors: Rick J. Hogeboom, Davey de Bruin, Joep Schyns, Maarten Krol, Arjen Hoekstra
... Excelfile containing several water footprint caps, runoff and environmental flow statistics for 11,000+ river basins worldwide. Shapefile containing geometries for these basins.
A Novel Optimization-Based Tool to Automate Infeasible Cycle-Free Gapfilling of Genome-Scale Metabolic Models, Schroeder and Saha
Contributors: Wheaton Schroeder, Rajib Saha
... Dataset related to the paper of the same title submitted for publication in the journal iScience. The abstract is as follows.
Contributors: Ahmad Zidan, Eman Saad, Nasser Ibrahim, Amal Mahmoud, medhat hashem, Alaa Hemeida
... 1-Files that resulted from application of PHARMIP insilico method to explore adverse drug reactions on 2 examples of domperidone related cardio-toxicity and ranitidine related thrombocytopenia . 2-Files that are used to apply the step of molecular docking on the previous examples.