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This data accompanies the paper 'Sediment transport mechanisms revealed by quantitative analyses of seafloor morphology: new evidence from multibeam bathymetry of the Israel Exclusive Economic Zone' in by Kanari et al., 2020, Journal of Marine and Petroleum Geology. Please cite any use of this data by referring to the following paper: -------------------------------------------- Kanari M, Tibor G, Hall JK, Ketter T, Lang G, Schattner U, 2020, Sediment transport mechanisms revealed by quantitative analyses of seafloor morphology: New evidence from multibeam bathymetry of the Israel exclusive economic zone, Marine and Petroleum Geology, Vol. 114, 104224, ISSN 0264-8172, https://doi.org/10.1016/j.marpetgeo.2020.104224. The data contains the following: ---------------------------------- (1) The multibeam bathymetry grid of the Israel EEZ in 200 m resolution. (2) Hill-shaded relief bathymetric map of the Israel EEZ in 25 m resolution (a-clean; b-with depth contours). (3) Derivatives of the bathymetric grid in 25 m resolution: slope, aspect, multibeam backscatter (where available). (4) Vector SHP files (GIS-ready) of the five analyzed morphological units mapped in the study: structural folds, sediment waves, faults , deepwater channels (and their associated overbank deposits), and deepwater fan lobes. Disclaimer: The maps and surfaces published in this dataset are provided "as-is" and are not legal surveys or legal descriptions. We disclaim any representations and warranties as to the accuracy of the maps and surface. These maps and surface are not intended for navigational, commercial, legal or political purposes.
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This dataset is part of the research project on internationalization of intrastate armed conflicts funded by the Russian Foundation for Basic Research (RFBR) according to the research project № 18-314-00006\18. It proceeds from an alternative expanded conceptualization of the phenomenon of internationalized internal conflict which argues that accounting for involvement of external state-based actors into intrastate conflict is insufficient for understanding the complex interplay between various international, transnational and cross-border processes that form multiple reinforcing and counterbalancing links and feedback loops. To this end, we offer re-operationalization of the internationalization phenomenon based on an integrated three-dimensional framework which differentiates between three dimensions of internationalization (interpreted in a broader sense). The horizontal dimension (horizontal escalation) represents varied processes through which the spatial spread of organized violence (often originated on the sub-state level) affects the territory of other (usually neighboring) countries leading to consequences (usually destabilizing) for both the source state and the recipient state. The vertical dimension (vertical escalation) covers the processes by which either the structure of a conflict gets expanded to involve outside (foreign) actors, normally as secondary (supporting) parties, or (often as a result of the former) the nominal level of conflict gets upgraded from intrastate to interstate. Vertical escalation is enabled either through an attack by a source state on the territory or subjects of one or more of its neighbors (outward-directed vertical escalation), or alternatively through intervention by a state-based external actor into the original internal conflict (inward-directed vertical escalation). Finally, the systemic dimension (systemic escalation) denotes the expansion of international systemic limits of original conflict by increased political stake, interest and/or attention of various international actors vis-à-vis the conflict in question, through its “proxy-fication” or connectedness with other conflicts in the neighborhood. The proposed dimensions are conceptual constructs aimed at facilitating the analysis of conflict dynamics and are not intended to be interpreted literally. This current version of the dataset (2.0) covers the universe of armed conflicts in the regions of Europe (excl. FSU), Former Soviet Union (FSU), and Asia for the period from 1975 to 2018, and the Middle East and North Africa region for the period from 1989 to 2018.
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The G-code file for 3D-printing system related to the fabrication of scaffold with kagome structure
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Each folder in this dataset refers to a specific publication and contains: 1) pdf files with an extended list of tables and images referred, but not included, in the main papers: 2) a compressed archive with the generated raw data. For more details, one can read the main articles referenced below.
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This code source is a simulation of a hybrid high dimensional automated guided vehicle system design model in python. In fact, our approach aims to solve the problem of dimension growth in a convex 2D environment of an Automated Guided Vehicle System (AGVS), using a Deep reinforcement learning control system of kernels with low dimensions.
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Research data of "Characteristics of methane-air combustion with rotating gliding arc discharge plasma assistance"
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The dataset contains the data used in our study "Solving the mixed model sequencing problem with reinforcement learning and metaheuristics". We provide three datasets: (1) The main dataset (folder "data") contains 2160 problem instances for the mixed model sequencing problem. The instances are based on the original dataset provided by Boysen (2011). Each instance contains information about processing times, cycle time, station length and demand plan. The dataset consists of ten mutations of the original dataset. Each mutation is a copy of the original dataset except for the demand plan. The demand plan is generated following a multinomial distribution. (2) The second dataset (folder "Robustness Check: Short-term disturbances") manipulates the demand plan of the main dataset. In each instance, the quantity of one model type is set to zero. The removed jobs are uniformly distributed over all other job models. (3) The third dataset (folder "Robustness Check: Added machines") adds machines to the initial instances. Each instance is extended by 1 to 5 machines. Original instances are used to provide the processing times for the new machines.
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MATLAB files for recreation of a HIL setup in a simulation environment. Use Matlab 2017b or later to run the simulation. Execute Simulation.m to start simulation.
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We study productivity and welfare provision in three megacities, Beijing, Shanghai and Guangzhou in China. We developed an economic model, which regards individuals as both consumers of private and public goods and suppliers of labor in the production process, operating within the Hukou system which constrains entitlement to public goods and services for internal migrants. We, thus, explored the impact of restricting migrants’ access to public goods and services on their overall utility and utility derived from using key public services, analyzed how such restrictions distort effects of income on utility, and established a trade-off between megacity residency and productivity of the sectors employing them. Given the similarities between limits to public provision impose through Hukou in China and various entitlement restrictions endured by international migrants in other countries, our study has the potential to inform wider international debates. We collected survey responses from 1,500 individuals from these three megacities and validated the key implications of the model. Being a migrant adversely affected overall life satisfaction (utility) and satisfaction with public services. Migrants were likely to accept lower pay in exchange for megacity residency, thus they experienced a welfare loss due to skill mismatch despite potential welfare gains from better access to public services through residency in a megacity. Migrants’ residency value is also positively related to the technology of the sector employing them, a finding perhaps explaining why high-tech sectors could sponsor Hukou transfer.
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the QoS-WSC test data-set is introduced and provided for the researchers, to be used for QoS-aware web-services discovery and composition. Service specification files (WSDL files) of this data-set have been generated by injecting QoS index vectors into service specification files of the WSC05 data-set. The injected QoS index vectors have been randomly picked from the QWS ver2.0 data-set. For generating service discovery and composition requests, the QoS importance coefficients vector has also been added to requests available in the WSC05 data-set. The optimal answer is also calculated and recorded for each request.
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