Encuesta satisfacción e-cienciaDatos
e-cienciaDatos es el repositorio de datos de investigación de las universidades del Consorcio Madroño. Es aceptado por las principales editoriales científicas
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1.241 a 1.250 de 2.367 Resultados
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Mexico", https://doi.org/10.21950/LSTDTS, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Mexico |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Martinique (French Colonies)", https://doi.org/10.21950/6RWGVT, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Martinique (French Colonies) |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Jamaica", https://doi.org/10.21950/2CAXYP, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Jamaica |
26 jun 2023 - Universidad Carlos III de Madrid
Ernesto Gonzalez-Saiz; Daniel Garcia-Gonzalez, 2023, "Model-Driven Identification Framework for Optimal Constitutive Modelling from Kinematics and Rheological Arrangement", https://doi.org/10.5281/ZENODO.8083338
Machine Learning framework for generation of constitutive models capable of automatically identifying the optimal kinematics and rheological model. It consists of a multiphysics model-driven framework that optimally selects the most suitable model kinematics, its rheological comp...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
25 jun 2023 - Universidad de Alcalá
Amin Khairoun; Florent Mouillot; Wentao Chen; Philippe Ciais; Emilio Chuvieco, 2026, "Fire-related forest loss", https://doi.org/10.5281/ZENODO.8069732
The dataset includes the different figures used in the study.Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
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... |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Guatemala", https://doi.org/10.21950/9E3TX3, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Guatemala |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Haiti", https://doi.org/10.21950/PENAE6, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Haiti |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Ceylon (Sri Lanka)", https://doi.org/10.21950/3ESG3U, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Ceylon (Sri Lanka) |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Japan", https://doi.org/10.21950/A3HY3D, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Japan |
