Contributors: Adie Tri Hanindriyo
... Raw and processed data necessary to reproduce results in the titled paper
Code/Data for: Multi-omic Dissection of Oncogenically Active Epiproteomes Identifies Drivers of Proliferative and Invasive Breast Tumors
Contributors: John Wrobel
... R scripts and data files for analysis of TCGA and METABRIC datasets for Wrobel et al. (2019). Multi-omic Dissection of Oncogenically Active Epiproteomes Identifies Drivers of Proliferative and Invasive Breast Tumors. iScience. DOI: https://doi.org/10.1016/j.isci.2019.07.001
Contributors: Denis Mikryukov
... Here we store the coefficients of the planetary disturbing function in computer-readable form. These were obtained by Maxima computer algebra system. The method is described by Laskar and Robutel (CMDA, 62, 193-217, 1995). We should note that our coefficients of secular Hamiltonian up to degree 4 coincide with those presented by Laskar and Robutel (see Section 7, CMDA, 62, 193-217, 1995). Therefore we hope that our expansions are error free. We plan to provide more thorough and complete comments on all of these data in the near future.
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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: Marsel Rabaev, Handy Pratama, Ka Ching Chan
... This data set was generated using Arena Simulation
Contributors: Laurent Remusat
... Dataset from heating experiment on Orgueil IOM. NanoSIMS, FTIR, XANES and Raman data.
Data availability for the work entitled "An optimization method based on the evolutionary and topology approaches to reduce the mass of composite wind turbine blades".
Contributors: Alejandro Albanesi
... OpenFAST files to compute the aerodynamic loads on the wind turbine blade. Includes airfoil data, blade chord and twist distribution, and configuration files. All of these files are compressed in "zip" format. The finite element solutions (displacement vector, and director vector position) of all the wind turbine blade models are given in ParaView "vtu" format. FEM stands for classical direct finite elements, and IFEM for the inverse finite element method. REF is the reference wind turbine blade, GA is the blade with the optimized shell skin determined with FEM and Genetic Algorithms, and VFXX is the blade with the optimized shear webs via topology optimization (where XX defines the material volume ratio between the optimized material volume and the original material volume in the web). All of the FEM solutions are computed in the extreme load scenario. The IFEM solution is the manufacturing shape of the blade such that the blade exactly attains the prescribed optimal aerodynamic shape under the normal load scenario.
Contributors: Denis Mikryukov
... Here we store the coefficients of the planetary disturbing function in computer-readable form. These were obtained by Maxima computer algebra system and are supposed to be used/read with the help of that system. We plan to provide more thorough and complete comments on these data in the nearest future.
Contributors: Hongjia Zhang, Antoine Jerusalem, Enrico Salvati, Chrysanthi Papadaki, Kai Soon Fong, Xu Song, Alexander Korsunsky
... Raw and analysed data for published paper https://doi.org/10.1016/j.ijplas.2019.02.018. Notable findings and conclusions can be found in the paper.
Colocalization features for classification of tumors using desorption electrospray ionization mass spectrometry imaging
Contributors: Paolo Inglese, Goncalo Correia, Pamela Pruski, Robert C Glen, Zoltan Takats
... Data used for the data analysis of the paper: Inglese, P., Correia, G., Pruski, P., Glen, R. C., & Takats, Z. (2019). Colocalization features for classification of tumors using desorption electrospray ionization mass spectrometry imaging. Analytical chemistry.