Encuesta satisfacción e-cienciaDatos
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961 a 970 de 2.390 Resultados
12 abr 2024 - Dealing with a Resurgent China (DWARC)
Santander Oliván, Mario, 2024, "Interview in Spain 2", https://doi.org/10.21950/YG8WCX, e-cienciaDatos, V1
The reemergence of China is changing the world, and that EU needs to develop a long-term approach based on research-based knowledge in order to engage strategically with an increasingly assertive China. This dataset consists of a semi-structured interview with a person of Chinese... |
12 abr 2024 - Dealing with a Resurgent China (DWARC)
Santander Oliván, Mario, 2024, "Interview in Spain 1", https://doi.org/10.21950/DMV7U4, e-cienciaDatos, V1
The reemergence of China is changing the world, and that EU needs to develop a long-term approach based on research-based knowledge in order to engage strategically with an increasingly assertive China. This dataset consists of a semi-structured interview with a person of Chinese... |
12 abr 2024Universidad Autónoma de Madrid
The EU Horizon project 'Dealing with a Resurgent China' (DWARC) recognises that the reemergence of China is changing the world, and that EU needs to develop a long-term approach based on research-based knowledge in order to engage strategically with an increasingly assertive Chin... |
12 abr 2024 - Universidad Nacional de Educación a Distancia (UNED)
Severino Fernández Galán, 2024, "Supplementary code for the article: Minimum Modulus Visualization of Algebraic Fractals", https://doi.org/10.21950/H1OBX1, e-cienciaDatos, V1
Description of the dataset Fractals are a family of shapes formed by irregular and fragmented patterns. They can be classified into two main groups: geometric and algebraic. Whereas the former are characterized by a fixed geometric replacement rule, the latter are defined by a re... |
12 abr 2024 - Universidad Carlos III de Madrid
Gu, Feng; Discetti, Stefano; Liu, Yingzheng; Cao, Zhaomin; Peng, Di, 2026, "Dataset of "Denoising Image-based Experimental Data without Clean Targets based on Deep Autoencoders"", https://doi.org/10.5281/ZENODO.10938428
Dataset of the paper "Denoising Image-based Experimental Data without Clean Targets based on Deep Autoencoders", published in Experimental Thermal and Fluid Science (https://doi.org/10.1016/j.expthermflusci.2024.111195) The project received funding from: the European Research Cou...Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
11 abr 2024 - Universidad Carlos III de Madrid
Bustarviejo, Josué, 2026, "Exploiting market state information for index price forecasting", https://doi.org/10.5281/ZENODO.10957146
This project encompasses a comprehensive database of stock prices, focusing on the components of Dow Jones and Nasdaq-100 indices. It collates historical price data alongside market state information, capturing the fluctuations and trends of stocks. The database serves as a found...Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
5 abr 2024 - Absell-Federico-Tena World Trade Historical Database 1948-2020
Absell, Christopher; Federico, Giovanni; Tena Junguito, Antonio, 2024, "Absell-Federico-Tena World Trade Historical Database 1948-2020 : Syria", https://doi.org/10.21950/KLIQD5, e-cienciaDatos, V1
Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Syria |
5 abr 2024 - Absell-Federico-Tena World Trade Historical Database 1948-2020
Absell, Christopher; Federico, Giovanni; Tena Junguito, Antonio, 2024, "Absell-Federico-Tena World Trade Historical Database 1948-2020 : Sri Lanka", https://doi.org/10.21950/TDR0JW, e-cienciaDatos, V1
Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: Sri Lanka |
5 abr 2024 - Absell-Federico-Tena World Trade Historical Database 1948-2020
Absell, Christopher; Federico, Giovanni; Tena Junguito, Antonio, 2024, "Absell-Federico-Tena World Trade Historical Database 1948-2020 : United Arab Emirates", https://doi.org/10.21950/MZBQTX, e-cienciaDatos, V1
Project developed by Christopher Absell (University Gothenburg and Instituto Figuerola) Giovanni Federico (New York University Dubai) and Antonio Tena Junguito (Universidad Carlos III de Madrid and Instituto Figuerola). Dataset: United Arab Emirates |
5 abr 2024 - Universidad Nacional de Educación a Distancia (UNED)
Severino Fernández Galán, 2024, "Supplementary code for the article: Comparative evaluation of the Fast Marching Method and the Fast Evacuation Method for heterogeneous media", https://doi.org/10.21950/QMPYDE, e-cienciaDatos, V1
Description of the dataset The evacuation problem is usually addressed by assuming homogeneous media where pedestrians move freely in the presence of several exits and obstacles. From a more general perspective, this work considers heterogeneous media in which the velocity of ped... |
