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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1.261 a 1.270 de 2.390 Resultados
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : French Guiana (French Colonies)", https://doi.org/10.21950/G3F0TN, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: French Guiana (French Colonies) |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Grenada (Windward Islands)", https://doi.org/10.21950/1KS4V3, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Grenada (Windward Islands) |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Newfoundland", https://doi.org/10.21950/3TW3XN, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Newfoundland |
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. |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Guadeloupe (French Colonies)", https://doi.org/10.21950/VZPMJD, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Guadeloupe (French Colonies) |
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. |
