Contributors: Jacqueline Zadelaar
... Are Individual Differences Quantitative Or Qualitative? An Integrated Behavioral And Fmri Mimic Approach. Authors: Jacqueline N. Zadelaar, Wouter D. Weeda, Lourens J. Waldorp, Anna C. K. Van Duijvenvoordee, N. E. Blankenstein, Hilde M. Huizenga In cognitive neuroscience there is a growing interest in individual differences. We propose the Multiple Indicators Multiple Causes (MIMIC) model of combined behavioral and fMRI data to determine whether such differences are quantitative or qualitative in nature. A simulation study revealed the MIMIC model to have adequate power for this goal, and parameter recovery to be satisfactory. The MIMIC model was illustrated with a re-analysis of Van Duijvenvoorde et al. (2016) and Blankenstein et al. (2018) decision making data. This showed individual differences in Van Duijvenvoorde et al. (2016) to originate in qualitative differences in decision strategies. Parameters indicated some individuals to use an expected value decision strategy, while others used a loss minimizing strategy, distinguished by individual differences in vmPFC activity. Individual differences in Blankenstein et al. (2018) were explained by quantitative differences in risk aversion. Parameters showed that more risk averse individuals preferred safe over risky choices, as predicted by heightened vmPFC activity. We advocate using the MIMIC model to empirically determine, rather than assume, the nature of individual differences in combined behavioral and fMRI datasets.
Contributors: Szilárd Szabó, Boglárka Balázs, Zoltán Kovács, Balázs Deák, Ádám Kertész
... The dataset is derived from the Hungarian part of the CarpatClim database (https://doi.org/10.1002/joc.4059) and the MODIS MOD13Q1 16 days 250 m (https://doi.org/10.5067/MODIS/MOD13Q1.006) between 2000-2010, using bivariate linear regression on monthly data. The 1038 points represent 1038 R-squared (R2) values of the regressions. R2 values reflect the strength of relationship between aridity, precipitation, potential evapotranspiration, maximum temperature and the normalized vegetation index (NDVI). For spatial analysis, we provided the codes of Hungarian macro regions, land cover and topography data (terrain height, slope and aspect). Column name Description CC_ID: CarpatClim identifier Country: Country code of CarpatClim /1=Hungary/ UTM_X: X UTM Coordinate UTM_Y: Y UTM Coordinate ARIvsNDVI_R2: R2 of Aridification Index and NDVI 2000–2010 PRECvsNDVI_R2: R2 of Precipitation and NDVI 2000–2010 PETvsNDVI_R2: R2 of Potential Evapotranspiration and NDVI 2000–2010 TMAXvsNDVI_R2: R2 of Maximum Temperature and NDVI 2000–2010 DEM_slope: SRTM slope value (degree) DEM_aspect: SRTM aspect value (azimuth) DEM: SRTM elevation (m) CLC_code: CORINE Land Cover code /arable lands (211, 213,221,222, 242,243), grasslands (231, 321), forests (311, 312, 313, 324), wetlands (411, 412), water bodies (511, 512) and artificial surfaces (112, 121, 122, 131, 142) Macro_reg_code: Hunrarian Macro Region code /Great Hungarian Plain=1, Kisalföld=2, Alpokalja=3, Transdanubian Hills=4, Transdanubian Mountains=5, North-Hungarian Mountains=6/ Microregion_code: Hungarian Micro Region code (Dövényi, Z. 2010) Dövényi, Z. ed. 2010. Inventory of Natural Micro-regions of Hungary, Hungarian Academy of Sciences Geographical Institute, Budapest
Abaqus Code for a Residual Control Staggered Solution Scheme for the Phase-Field Modeling of Brittle Fracture
Contributors: Karlo Seleš
... Abaqus UEL and UMAT subroutines for the phase-field modeling of brittle fracture. The code consists of the 3-layered system of user elements and user material subroutine producing a staggered algorithm with a residual norm based stopping criterion. The elements are 4-node full integration 2D and 8-node full integration 3D linear elements. The implementation files (source code and input files) for some examples published in the associated journal article are given. The files contain detailed explanations and instructions for users. This is an updated version of the dataset. See more info in Version_3-ChangeLog.txt For additional information, suggestions or comments, please contacts us at email@example.com
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Contributors: Emily Schworer, Lisa A. Daunhauer, Mark Prince, Amy Needham, Elizabeth A. Will, Deborah J. Fidler
... This dataset represents one timepoint of data collection for a sample of infants with Down syndrome. Complete Bayley-III information is provided, as well as demographic information and child medical/health history information. In addition, infants were administered a short exploration task that involved presenting the infant with a teether in their line of vision, and then placing it on the table before them. Exploration trials were coded for the percentage of time the infant spent visually, manually, and orally exploring the object.
Contributors: Sly Wongchuig, Rodrigo Dias de Paiva
... We make available the daily discharge dataset of the Hydrological Reanalysis across the 20th Century for the Amazon Basin in its v1.0 version, which correspond to the HRXX_Amz.nc file. The matrix of daily discharge contains 36890 columns (one per day, starting at 01Jan/1910) and 12466 rows (one per catchment). Authors: Sly Wongchuig Correa Rodrigo Cauduro Dias de Paiva Vinícius Siqueira Walter Collischonn Institute of Hydraulic Research - (IPH/UFRGS) Brazil - November 2018 Citation: When using these data, please refer to the following paper: Wongchuig, C.S.; Paiva, R.C.D.; Siqueira, V.; Collischonn, W. 2019. Hydrological Reanalysis Across the 20th Century: A Case Study of the Amazon Basin. Journal of Hydrology, vol. 570, p. 755-773. https://doi.org/10.1016/j.jhydrol.2019.01.025
Contributors: Ben Phalan
... Geographic information systems (GIS) shapefile identifying classes of land ownership within the Northwest Forest Plan region (plus a 50 km buffer) in the United States of America, including parts of the states of Washington, Oregon and California. The ownership categories identified are: federal, state, private industrial, private non-industrial, private conservation, indian, other and unknown. This dataset should be regarded as preliminary, has no official status, and the creator takes no responsibility for any errors. The layer has been clipped to state boundaries, and to within a 50 km buffer of the NWFP boundary. The dataset was developed to investigate the trajectories of vegetation change (older forests and early-seral ecosystems) and changes in bird populations within different ownership categories before and after the implementation of the Northwest Forest Plan. This analysis is described in a paper which will be linked here when published.
Contributors: Janet Nwaogu
... A geospatial analysis of mental health in construction industry research was carried out using CiteSpace. The Keyhole Markup Language (KML) function was used, it was then converted into animated maps with the Google Earth application. It provides author's geographic location and their publications. The Google Earth map provides for exploring author's location and collaborations. Also, through a click on the DOI link, the articles of the authors can be assessed directly. The red lines signify co-authored papers in recent years while the green lines tells of older collaborations.
Contributors: Philipp Keller
... Guide's software and data repository- compact version
Contributors: Philipp Keller
... Guide's software and data repository- full version
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