Contributors: Raúl Roberto poppiel, Jose Alexandre Dematte, Marilusa Pinto Coelho Lacerda, José Lucas Safanelli, Rodnei Rizzo, Manuel Pereira de Oliveira junior, Jean Jesus Novais
... Maps of clay, silt and sand contents (g kg-1) predicted at 0-20 cm, 20-60 cm and 60-100 cm depths intervals (3D) obtained by random forest regression in Google Earth Engine. Gridded soil information covers Midwest Brazil, from 12° S to 20° S and from 45° W to 54° W, and is available with 250m resolution. The maps were cross-validated and had Coefficient of Determination ranging from 0.64 to 0.85 at all depth intervals.
Contributors: Francisco BELTRAN
... Supplemental data for paper manuscript "Indirect determination of shear wave velocity in slow formations from full-wave sonic logging", submitted to the Journal of Rock Mechanics and Geotechnical Engineering. Data includes three ASCII files: a sample full-wave sonic log, a FORTRAN code for processing the sonic log, and an ABAQUS/Standard input file used to determine the functional dependency of Poisson's ratio on the shape of the wave packets. The data is intended to be used together with the paper. The data could be used for an independent review of the methodology proposed in the paper as well as a starting point for further research in the generalization of the proposed method to different borehole geometries and sonic probe designs.
Contributors: Qiankun Liu, Jingang Jiang, Changwei Jing, Zhong Liu, Jiaguo Qi
... In this paper, a new, alternative, multi-scale, multi-pollution source waste load allocation (WLA) system was developed, with a goal to produce optimal, fair quota allocations at multiple scales. The new WLA system integrates multi-constrained environmental Gini coefficients (EGCs) and Delphi-analytic hierarchy process (Delphi-AHP) optimization models to achieve the stated goal. This dataset consists of the raw data and the source code of models (The multi-constrained environmental Gini coefficients and Delphi-analytic hierarchy process optimization models). The source code of the multi-constrained EGCs and Delphi-AHP models was used to run the program in MATLAB environment to allocate waste load reduction quotas at both the regional scale and the site-specific scale with multiple pollution sources. The raw data mainly consists of the following two parts: (1) The shp files of various geographic information data, which was used to depicture the administrative divisions, pollution source distribution, geographical characteristics and patterns of Xian-jiang watershed; (2) The basic data includes the statistical yearbook data of villages and towns in Ningbo city, the various indicator data using to calculate the weights at criteria level and decision-making level, the contribution coefficients, and the EGC values of the three pollutants. On the basis of these data, a new, alternative, multi-scale, multi-sector optimal WLA framework was developed. The new scheme provides decision-makers critical information (i.e., the best compromise solutions of WLA) and practical guidance as they address the related water pollution control. The results, in comparison with existing practices by the local governments, suggested that the pollution discharge quota at regional scale is much fairer than the existing WLA and, even have some environmental economic benefits at pollutant source scale after optimal WLA. Some important conclusions had been found: 1) Reductions and proportions of pollutants at regional scale are significantly associated with the region’s actual socioeconomic development modes. 2）There are certain characteristics that high-reduced pollution sources tend to share (which are listed in the article). The sources with the above features should be the top priorities in the reduction of removals. 3）Most previous studies reported primarily on the WLA of removals among point sources pollution. Conversely, we found that the industrial pollution source should be the last option for reduction from an environmental-economic benefit perspective. Instead, the often overlooked types, such as agricultural non-point source and domestic sources, deserve more attention, especially in extensive rural areas.
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Contributors: Lina Garcia, Jean Diaz, Humberto Loaiza-Correa, Andrés Restrepo
... Thermal and visible aerial images, with their metadata, captured using the UAV Matrice 100 equiped with a visible camera (Zenmuse X3) and a thermal camera (Zenmuse XT) of a planar scene at Universidad del Valle, Cali, Colombia. The thermal images were captured using the Zenmuse XT camera on board of a Matrice 100 UAV. Altitude = 100.4 m, Speed = 6.4 m/s and Overlap ratio = 90%. The visible images were captured using the Zenmuse X3 camera on board of a Matrice 100 UAV. Altitude = 80.9 m, Speed = 6.4 m/s and Overlap ratio = 80%. Also, a georeferenced orthoimage was generated using the captured visible images and the Agisoft Metashape software. In addition, homography matrices were obtained from a small number of correspondences manually selected between the orthoimage and every thermal and visible image. File "ORTHOUV2018.TIFF" = The georeferenced orthoimage. Folder "THERMAL" - Files "LWIRXX" = Thermal aerial images. - Files "HORTHOtoLWIRXX" = The homographies between the orthoimage and the thermal aerial images. - Files "LWIR.kml" = The geospatial data related to the thermal images. Folder "VISIBLE" - Files "VSXX" = Visible aerial images. - Files "HORTHOtoVSXX" = The homographies between the orthoimage and the visible aerial images. - Files "VS.kml" = The geospatial data related to the visible images.
Contributors: Matthew Therrell, Matthew Meko
... Data include earlywood vessel width and "flood ring" chronologies derived from bottomland oaks (Quercus lyrata) growing in the White River National Wildlife Refuge reported in "A record of flooding on the White River, Arkansas derived from tree-ring anatomical variability and vessel width" published in "Physical Geography". The overall site is named "Scrubgrass Bayou" (site code "SGB"). Data from cores collected by D. Stahle in 1980 (site code SNA; DOI https://doi.org/10.25921/phhr-wp20) are included in the flood ring and EW vessel width measurements. SGBSNA_EW_VW.crn is the earlywood vessel width chronology SGBSNA_EW_VW_raw.text are the raw vessel width measurements SGB_flood rings.csv are the summary percent trees injured data SGB_individual_FRs.xlsx are the flood ring data for each tree sampled SGBx_secs.kml are coordinate data for the SGB collection
Contributors: Chirag Vasavda
... Source code associated with "Bilirubin links heme metabolism to neuroprotection by scavenging superoxide" by Vasavda et al. (2019)
Contributors: Tongtong Wang, Yuankun Luo, Zhilin Tao, Weijie Chen, Xin Gu
... The zip file contains project files, screenshots of research results, chart data, experimental data, simulation data, and grid independence verification data.
Contributors: Rupert Ullmann, Stefan Sicklinger
... A two-dimensional finite element (FE) model is presented, which can be used to validate methods and design criterions for vibroacoustics. A simple beam-like structure, providing different transmission paths for some structure-borne point excitation, is connected to a beam. The latter is acting as a radiator. The acoustic fluid is modeled by means of acoustic elements, and two different boundary conditions are implemented. This results in one model providing free-field conditions (halfspace) and one with a reverberant setting. The model, therefore, enables one to analyze a full acoustic chain of effects (transmission of vibration through the structure and radiation) in a sufficiently complex setting with moderate model size. For an application and a more detailed description of the model see: Sicklinger S. and Ullmann, R.: "Structural power as an acoustic design criterion for the early phase of product design", International Conference on Noise and Vibration Engineering, Leuven, 2018.
Data for: Validation of a Uniaxial Structure-Borne Sound Benchmark With Emphasis on Power and Phase Accuracy
Contributors: Rupert Ullmann
... Data in order to reproduce the benchmark of the associated publication "Validation of a Uniaxial Structure-Borne Sound Benchmark with Emphasis on Power and Phase Accuracy". The dataset contains: 1. Geometry data The geometry of the single parts of the benchmark structure provided as STEP-files. 2. FE data ASCII FE representation for the benchmark (SIMULIA Abaqus input file syntax) 3. Measurement data Data files containing the results of the measurements, which were used for generating the Figures contained in the publication
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.