Contributors: Philipp Keller
... Guide's software and data repository- compact version
Contributors: Philipp Keller
... Guide's software and data repository- full version
Data for: Estimating the Impacts of Financing Support Policies towards Photovoltaic Market in Indonesia: A Social-Energy-Economy-Environment Model Simulation
Contributors: Muhammad Indra al Irsyad, Anthony Halog, Rabindra Nepal
... Data is used for Agent-based Renewables model for Integrated Sustainable Energy (ARISE), a solar energy policy model designed for use in developing countries. However, the data is for Indonesia case. The GIS files contains data for socio-economic characteristics and renewable energy potential; meanwhile m input output 6.txt is Leontief Inverse Matrix from Indonesian input output table 2010. Please refers the Appendix for more detailed description of the data.
Contributors: Petra Hank, Bernhard Baltes-Götz
... This data file is prepared to be readf by the Mplus syntax file SSE-ARIS-ST.inp.
Contributors: Koen Van Noten
... The data provided in this repository are: 1. Non-georeferenced fault and fracture orientation data measured in each quarry and provided in *.csv files for reproducibility. Type of measurement: Plane (P) orientation noted in dip direction (dd)/dip (d); Lineation (L) noted in in trend (tr) / plunge (pl). In the lists, a lineation following a plane is the lineation measured on that plane. See the accompanying kml, quarry list and Fig. 2 in the paper for location of the quarries. 2. Google EarthTM Kml-file (cf. Fig. 2) presenting all fault and travertine characteristics discussed in this study. All geomorphological faults surrounding the Ballık area are indicated. Yellow dots indicate the location of the different quarries. Yellow dots are fault observation points. Faults are mapped by connecting individual fault observations. Bedding orientation is indicated by coloured areas and correspond to bedding in Fig. 2: Green areas: S-dipping travertine; Purple: N-dipping travertine; Yellow areas: W-dipping travertine; Brown areas: Marl, sandstone or conglomerate cover deposits; Blue areas: subhorizontal travertine; Blue axis: travertine domal axis.. 3. A list of quarry locations and fault type info. Quarries in the table are organised in same order as they are described in the text. NF = normal faulting, SS = newly-formed strike-slip faults, SS r. = reactivated normal faults with strike-slip kinematics.
Data to accompany JoEP manuscript "The longitudinal associations of sound financial management behaviors and marital quality"
Contributors: Jeffrey Dew
... This was the data set that we used to complete the analyses for the JoEP manuscript, "The longitudinal associations of sound financial management behaviors and marital quality". I have also included the associated MPlus input files The data come from the Flourishing Families data set. I do not have permission from the PI's on the project to share the entire data set, only the data that the models analyzed.
Data for: The effect of low stress triaxialities and load paths on ductile fracture simulations of large shell structures
Contributors: Mihkel Kõrgesaar
... This contains all input files needed to run MK-analysis presented in the paper. This example applies for alfa=0.5 and fii=90 degrees, see paper for details. For different stress states or principal stress direction respective values in the *.for file need to be changed. MASTER.inp - Abaqus input file that is runned. Equation.inp - Called by MASTER.inp. Contains linear constraint equations that constrain each boundary node based on the nodal displacement on the opposite edge and phantom node displacement. NODES.inp - Called by MASTER.inp. Gives the nodal coordinates of the unit cell model. vdisp-NODES-imp.for - Example user defined loading file called by Abaqus along with MASTER.inp.
Data for: Cutting the forest down to save your face: Narcissistic national identification predicts support for anti-conservation policies
Contributors: Aleksandra Cislak, Adrian Wojcik, Aleksandra Cichocka
... Three datasets (both spss and csv files) accompanied by MPlus syntaxes which allow for replicating the analyses presented in the manuscript and in SOM.
Field observations of sediment transport across the rocky coast of east Taiwan: impacts of extreme waves on the coastal morphology by Typhoon Soudelor
Contributors: SHAO-YI HUANG, Jiun-Yee Yen, Bo-Lin Wu, Nai-Wun Shih
... Large boulders and mixed sediments were deposited across the beach after Typhoon Soudelor, 2015, along the east coast of Taiwan. The field observations of these sedimentary features resulting from the extreme waves provide the real data to validate the parameters predicted by the hydrodynamic models on areas with similar topographic conditions. Although the maximum inundation distance is only 170 m due to the lack of beach buffer zone, the largest boulder weighs over 1 ton and the maximum run-up can reach 11.9 m. The grain distribution of the overtopping and beach face sediments exhibited reverse directions of coarsening, reflecting different stages of wave propagation. The formation of the higher extreme wave berm and the destruction of the lower swell berm on one of the sites displayed the power of the storm surges and suggested the important role of the run-up on the evolution of the berm. Extreme values of the run-up, flow velocity, and weight of the clast make it difficult to distinguish the origin of the event if they were found in the geologic records. A comprehensive understanding on the occurrence of the sediments and the depositional environment should be incorporated to differentiate the storm and tsunami events.
Data for: Genotyping-by-sequencing and ecological niche modeling illuminate phylogeography, admixture, and Pleistocene range dynamics in quaking aspen (Populus tremuloides)
Contributors: Justin Bagley, Neander Heming, Eliecer Gutierrez
... In support of the manuscript by Bagley et al. (in review; see below) on quaking aspen phylogeography and ecological niche modeling (ENM), this accession provides 1) the in-house laboratory protocol used to extract DNA from aspen leaf tissues (modified from Strauss Lab); 2) code used to conduct independent runs of the TASSEL-GBSv2 SNP discovery pipeline (Glaubitz et al. 2014) on our final (combined) genotyping-by-sequencing (GBS) dataset; 3) resulting SNP variant files from TASSEL-GBSv2 and final filtered variant call data files used during our genomic analyses; and 4) unfiltered vs filtered species occurrence data files and computer code used during our ENM analyses of our focal taxon, Populus tremuloides. REFERENCES Bagley, J. C., Heming, N. M., Gutiérrez, E. E., Devisetty, U. K., Mock, K. E., Eckert, A. J., & Strauss, S. H. (in review). Genotyping-by-sequencing and ecological niche modeling illuminate phylogeography, admixture, and Pleistocene range dynamics in quaking aspen (Populus tremuloides). Molecular Ecology. Glaubitz, J. C., Casstevens, T. M., Lu, F., Harriman, J., Elshire, R. J., Sun, Q., & Buckler, E. S. (2014). TASSEL-GBS: a high capacity genotyping by sequencing analysis pipeline. PLoS One, 9(2): e90346