Encuesta satisfacción e-cienciaDatos

e-cienciaDatos es el repositorio de datos de investigación de las universidades del Consorcio Madroño. Es miembro de Harvard Dataverse Network, aceptado por las principales editoriales científicas y cumple los requisitos del H2020.

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71 a 80 de 124 Resultados
30 jun. 2023 - BODYinTRANSIT (Sensory-driven Body Transformation Experiences On-the-move)
Ley‑Flores, Judith; Alshami, Eslam; Singh, Aneesha; Bevilacqua, Frédéric; Bianchi‑Berthouze, Nadia; Deroy, Ophelia; Tajadura-Jiménez, Ana, 2023, "ArmRaise", https://doi.org/10.21950/LKIG6A, e-cienciaDatos, V1
This dataset comprises indirect and direct measures of bodily movement, proprioceptive awareness, bodily and emotional feelings of 45 participants who executed a simple arm raise movement which was synchronized with various auditory stimuli changing pitch.
23 jun. 2023 - Nonlinear Solid Mechanics
Fernández-Pisón, Pilar, 2023, "UMAT_Homogenization_PFP_ARV_GV_JARM_2023", https://doi.org/10.21950/H27ZVN, e-cienciaDatos, V1
This dataset contains the UMAT subroutine coded to implement in the finite element code ABAQUS the homogenized constitutive model described in the manuscript of Fernandez-Pison et al. (2023) for simulating the strain-induced martensitic transformation in austenitic stainless stee...
14 abr. 2023 - Universidad Carlos III de Madrid
Borderes-Motta, Gabriel; Haro-Pizarroso, Gabriel de; Li, Gangqiang; Yu, Hanze; H. Zhu, Zheng; Sarego, Giulia; Colombatti, Giacomo; Lorenzini, Enrico C.; McTernan, Jesse K.; Gilchrist, Brian E.; Bilén, Sven G.; Kawamoto, Satomi; Ohkawa, Yasushi; Sánchez-Arriaga, Gonzalo, 2022, "Dataset of the cross-verification and benchmarking analysis of electrodynamic tether simulators", https://doi.org/10.21950/FL2DG6, e-cienciaDatos, V3
We performed a cross-validation and a benchmarking analysis of five electrodynamic tether (EDT) simulators developed by independent research groups: BETsMA, DYNATETHER (DYNAT), EDTSim, FLEX, and TeMPEST. It is a multi-institutional and multi-national project since the codes were...
22 mar. 2023Repositorio de Datos UC3M
BODYinTRANSIT (Sensory-driven Body Transformation Experiences On-the-move) is a research project that aims to establish a new fundamental knowledge base on how to induce, preserve, measure, model, personalize and support Body Transformation Experiences through novel wearable sens...
8 feb. 2023 - Universidad Politécnica de Madrid
Meyers-Angulo, Eduardo; Martínez-Cuevas, Sandra; Gaspar-Escribano, Jorge, 2023, "Catalogue of residential buildings and classification according to seismic vulnerability in the city of Murcia (Spain).", https://doi.org/10.21950/HLF2US, e-cienciaDatos, V1
The residential building catalogue and seismic vulnerability classification is a supplementary dataset associated with the paper entitled “Classifying Buildings According to Seismic Vulnerability Using Cluster-ANN Techniques. Applied to the City of Murcia, Spain The goal is to id...
20 dic. 2022 - Universidad Carlos III de Madrid
Gotti, Davide, 2021, "Input measurements, output binary classification, D+ elements, and PowerFactory source file of the test systems", https://doi.org/10.21950/Z1E1QY, e-cienciaDatos, V3
This dataset is intented to be a complementary material of the work "A Fast Data-Driven Topology Identification Method for Dynamic State Estimation Applications". It includes: the input measurements used to train and test the proposed topology identification method; the output bi...
24 oct. 2022 - Universidad Carlos III de Madrid
Toledano Serrano, Javier; Post, Ángel; Sánchez-Arriaga, Gonzalo, 2022, "ATD data ETPACK", https://doi.org/10.21950/CGSWL8, e-cienciaDatos, V1
Data captured by ATD during the PETE device development within the H2020 E.T.PACK project execution
14 sept. 2022 - Universidad Carlos III de Madrid
Gallo, Alessandro; Taramona, Sebastián; LaTourrette-Ghez, Evan, 2022, "Linear Beam-Down Solar Field Demonstrator: First Experimental data", https://doi.org/10.21950/JWIRUU, e-cienciaDatos, V1
First prototype built for a new concentrated solar power technology. Experimental measures obtained with the prototype.
8 sept. 2022 - Universidad Carlos III de Madrid
Velasco, Francisco J., 2022, "J Build Eng 105055 2022", https://doi.org/10.21950/VQBDOA, e-cienciaDatos, V1
Numerical data files were obtained from electrochemical measurements. XPS and FTIR data were obtained from direct measurements of surfaces. SEM images and consequent EDS analysis were taken on steel surfaces after immersion in inhibitor-containing solution. DFT images were obtain...
6 may. 2022 - Grupo de Comunicaciones (GCOM)
López Morales, Manuel José, 2022, "Numerical dataset for the performance of acess-point selection techniques for Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK", https://doi.org/10.21950/GVJZDL, e-cienciaDatos, V1
This project aims at investigating the performance capabilities and complexity of Cell-free Non-coherent Massive SIMO based on Differential M-ary PSK, for different access points selection techniques.
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