Data for: A new analysis approach based on Haralick texture features for the characterization of microstructure on the example of low-alloy steels
Contributors: Johannes Webel, Frank Mücklich, Dominik Britz, Jessica Gola
... Microstructural images of various steel microstructures (M1,2,3: martensite, P1,2: pearlite, LB: lower bainite) Square images (256px,128px,64px,32px). Complete objects and their binary masks (have been logically added to conduct the image texture analysis). image scales are 27.9nm/px for all images EXCEPT the low-resolution square images (128px=>55.8nm/px; 64px=>111.6nm/px; 32px=>223.2nm/px)
Dataset _ Interfacial control through ZnO nanorod growth on plasma-treated carbon fiber for multiscale reinforcement of carbon fiber/polyamide 6 composites
Contributors: Byeong-Joo Kim
... This data shows hydrothermal synthesis of ZnO nanorods on carbon fibers and entire raw data on analyses and mechanical testing of multiscale hybrid composites. Whole data is fully used for a paper prepared by Byeong-Joo Kim et al., "Interfacial control through ZnO nanorod growth on plasma-treated carbon fiber for multiscale reinforcement of carbon fiber/polyamide 6 composites" You can arrange the data using various software as shown below. Mechanical testing results : Origin or Excel XPS : Origin or CasaXPS AFM : Origin or Excel XRD : DIFFRAC. EVA or JADE EA : Origin or Excel
FTS-SOCI 2 source code for simulating teaching strategies to predict sociometric indices in higher education
Contributors: Iván García-Magariño
... This dataset contains the source code of FTS-SOCI 2 (an advanced Framework for simulating Teaching Strategies with evolutions of SOCIograms) in Java programming language. FTS-SOCI 2 implements an agent-based simulator (ABS), in which some agents simulate the behaviors of students, while another agent simulates the behavior of the instructor. This ABS can simulate the repercussion of the teaching strategies of several subjects concurrently, sequentially or partially overlapped by determining different starting points for each teaching strategy. This ABS simulates the repercussion of these teaching strategies on the sociometric indices of a group of students and presents the estimated sociograms. The ABS departs from a group of students determined by the user and categorized in certain initial activity roles. FTS-SOCI 2 has been designed considering higher education illustrating their approach with strategies of several disciplines in the grades of computer science engineering, electronics engineering and psychology. Researchers can define other teaching strategies, by simply extending the `TeacherExtended’ class and overriding the `live’ method. Developers can extend the framework by for example defining new kinds of activities, changing the user interface or amending the internal simulation behavior. This dataset supports the research about FTS-SOCI 2, which has been submitted to a scientific journal for consideration for its publication. Researchers that use this framework can credit its author by citing the article about the previous version of this framework called FTS-SOCI or any of the other related articles indicated below. Reference about FTS-SOCI: García-Magariño, I. & Plaza, I. (2015). FTS-SOCI: an agent-based framework for simulating teaching strategies with evolutions of sociograms. Simulation Modelling Practice and Theory, 57, 161-178. Other related references: García-Magariño, I., Medrano, C., Lombas, A. S., & Barrasa, A. (2016). A hybrid approach with agent-based simulation and clustering for sociograms. Information Sciences, 345, 81-95. García-Magariño, I., Palacios-Navarro, G., & Lacuesta, R. (2017). TABSAOND: A technique for developing agent-based simulation apps and online tools with nondeterministic decisions. Simulation Modelling Practice and Theory, 77, 84-107. García-Magariño, I., Lombas, A. S., Plaza, I., & Medrano, C. (2017). ABS-SOCI: An Agent-Based Simulator of Student Sociograms. Applied Sciences, 7(11), 1126. García-Magariño, I., Gómez-Rodríguez, A., González-Moreno, J. C., & Palacios-Navarro, G. (2015). PEABS: a Process for developing Efficient Agent-Based Simulators. Engineering Applications of Artificial Intelligence, 46, 104-112.
Data sets and their analysis for: Modeling stochastic optimal portfolio of partitioned projects financed by loan within a flexible time horizon
Contributors: Morteza Jafarzadeh, Hamed Reza Tareghian, Freydoon Rahbarnia, Reza Ghanbari
... Our model is examined based on an extensive data set. The values of model parameters are generated randomly using discrete uniform distribution.
ABS-MindBurnout source code for simulating the effects of mindfulness-based interventions on job burnout with an agent-based approach
Contributors: Iván García-Magariño, Inmaculada Plaza, Filippo Neri
... The agent-based simulator ABS-MindBurnout allows users to simulate the effects of mindfulness-based interventions on job burnout. This dataset contains its source so that experiments can be replicated, and developers of health and well-being applications can reuse some of its components. This simulator includes an easy-to-use graphical interface that allows users to define new mindfulness-based interventions and simulate them. It is worth mentioning that the source code of this simulator is the one of the earliest precursors of FAMAP (a Framework for Developing m-Health Apps). For instance, this app implements the presentation of starplots, which is one of the most relevant visualization components of FAMAP. ABS-MindBurnout has been developed using PEABS (a Process for developing Efficient Agent-Based Simulators). The stochastic agent decisions have been simulated with the recommendations of TABSAOND (a Technique for developing Agent-Based Simulation Apps and Online tools with Nondeterministic Decisions). This dataset is referenced by a manuscript that is planned to be immediately submitted to a scientific journal for its evaluation. When other researchers use this software or any of its components, they can credit the work of the authors by citing any of the related articles indicated below or the article about ABS-MindBurnout if this is published by then. Related references: García-Magariño, I., Gonzalez Bedia, M., & Palacios-Navarro, P. (2018). FAMAP: A Framework for Developing m-Health Apps. In WorldCIST'18 2018: Trends and Advances in Information Systems and Technologies, vol. 745 of Advances in Intelligent Systems and Computing (pp. 850-859). Springer International Publishing. García-Magariño, I., Palacios-Navarro, G., Lacuesta, R. (2017). TABSAOND: A technique for developing agent-based simulation apps and online tools with nondeterministic decisions. Simulation Modelling Practice and Theory, 77, 84-107. García-Magariño, I., Gómez-Rodríguez, A., González-Moreno, J. C., Palacios-Navarro, G. (2015). PEABS: a Process for developing Efficient Agent-Based Simulators. Engineering Applications of Artificial Intelligence, 46, 104-112.
Novel Enhanced Nondestructive Method for Measuring the Modulus Elasticity of Wood and Data of Various Local Indonesian Wood
Contributors: Abdurrachman Mappuji
... ugm-envelope-fitting A repository for performing envelope fitting for longitudinal stress wave signal on "stress wave velocity method" of nondestructive evaluation of wood. It is a supplement for http://github.com/mappuji/ugm-kayu-nde WAV File Data The wav_data folder contains a recorded longitudinal stress wave for various local wood for Indonesia. Here are the details: No. Code Wood Name 1 AK Acacia 2 JA Teak 3 MA Mahogany 4 MU Munggur 5 MA Sonokeling 6 MA Sukun Notes: Size each sample are 60x120x1200 mm. We have data for six species of woods. For each species, we have 10 samples and for each sample, we have 3 measurements. Example WAV file naming: AK1-1.wav, the first two letters in wood code, the first number before the dash is sample number and the second number after the dash is measurement number. Dependencies for Envelope Fitting IPython Jupyter Notebook Pylab Scipy Numpy Matplotlib
Contributors: Abdurrachman Mappuji
... This is the source code of the Universitas Gadjah Mada Open Source Non-Destructive Evaluation of Wood a.k.a ugm-kayu-nde. It is an effort to bring simple and reliable nondestructive evaluation of wood possible. It contains a simple architecture description of the hardware and source code of the software run on the top of the hardware.
Contributors: Galina Hale, Julian Caballero, Chris Candelaria
... Replication data for Caballero-Candelaria-Hale paper
Skin innate immunity of diskless-fingered odorous frogs (Odorrana grahami) with spatial-temporal variations
Contributors: Jiongyu Liu, Zhenyong Chen, Guiying Chen, Bin Wang, Jianping Jiang
... Data for SPSS and results by SPSS
Contributors: Tian Zhao, Songhe Li, Xiaoyu Yang, Yong Wang, Ling Shen
... The file including XRD, gas adsorption results and SEM images. The downloded MIL-101 CIF file is also attached.