621 a 630 de 856 Resultados
6 nov 2024
Candel, Francisco Javier; Viayna, Elisabet; Callejo, Daniel; Ramos Lobo, Raúl; San Román Montero, Jesús; Barreiro, Pablo; Carretero, María del Mar; Kolipiński, Adam; Canora, Jesús; Zapatero, Antonio; Runken, M. Chris, 2025, "Data set for a predictive model for Spain on the economic impact of the COVID-19 crisis", https://doi.org/10.34810/DATA111
The global COVID-19 spread has forced countries to implement non-pharmacological interventions (NPI) to preserve health systems. Spain is one of the most severely impacted countries, both clinically and economically. In an effort to support policy decision-making, Candel et al.(2...Dataset recolectado desde Repositori de Dades de Recerca (RDR) con autores de la URJC. El enlace le llevará directamente a los datos originales en dicho archivo. |
17 oct 2024
Hijón-Neira, Raquel; Pizarro, Celeste; Borrás Gené, Oriol; Cavero, Sergio, 2024, "AI generated context for teaching robotics to improve Computational Thinking in Early Childhood Education", https://doi.org/10.21950/KJNKMM, e-cienciaDatos, V1
There is a growing need to develop methods to teach Computational Thinking (CT) to Early Childhood Education children, given the challenges at these ages. A key goal is to equip future teachers with effective approaches for better learning outcomes. This project introduces a meth... |
17 oct 2024 -
AI generated context for teaching robotics to improve Computational Thinking in Early Childhood Education
Valores separados por comas - 13,3 KB -
MD5: 7189d1cb67f49ff87c95b2a12555977a
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17 oct 2024 -
AI generated context for teaching robotics to improve Computational Thinking in Early Childhood Education
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MD5: 03c8a3986a7768921af3427409ddd7c8
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11 oct 2024
Soto-Sánchez, Óscar; Sierra-Paradinas, María; Gallego, Micael; Alonso-Ayuso, Antonio; Gortázar, Francisco, 2024, "Instances for the coil slitting process in the steel industry", https://doi.org/10.5281/ZENODO.10390823
The dataset presented is part of the one used in the paper "A heuristic algorithm to improving the coil slitting process in the steel industry" by Óscar Soto-Sánchez, María Sierra-Paradinas, Micael Gallego, Antonio Alonso-Ayuso, Francisco Gortázar submitted for publication (2024)...Dataset recolectado desde DataCite con autores de la URJC. El enlace le llevará directamente a los datos originales en dicho archivo. |
11 oct 2024
Soto-Sánchez, Óscar; Sierra-Paradinas, María; Gallego, Micael; Alonso-Ayuso, Antonio; Gortázar, Francisco, 2023, "Subset of instances used in the paper "A heuristic for the cutting stock problem in the steel industry: a real application"", https://doi.org/10.5281/ZENODO.10390824
The dataset presented is part of the one used in the paper "A heuristic for the cutting stock problem in the steel industry: a real application" by Óscar Soto-Sánchez, María Sierra-Paradinas, Micael Gallego, Antonio Alonso-Ayuso, Francisco Gortázar submitted for publication (2023...Dataset recolectado desde DataCite con autores de la URJC. El enlace le llevará directamente a los datos originales en dicho archivo. |
25 sept 2024
Berumen, Sergio A., 2024, "Conductas deshonestas: ¿se juzga a los otros como a uno mismo?", https://doi.org/10.21950/TYDHLL, e-cienciaDatos, V2
La trampa, el engaño y el plagio son conductas deshonestas. Con el objetivo de llegar a resultados sobre la sensibilidad de los universitarios hacia la comisión de acciones deshonestas, tanto propias como cometidas por terceros, se construyó una base de datos a partir de las resp... |
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MD5: a0c8ee4cfbc5a9b78407d6e26cfe2877
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Texto plano - 4,5 KB -
MD5: e41d82458313ffb82d4892a9cfd26bc7
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16 sept 2024
Maes Bermejo, Michel; Gonzalez-Barahona, Jesus M.; Gallego, Micael; Robles, Gregorio, 2024, "A dataset of Linux Kernel commits", https://doi.org/10.5281/ZENODO.10654193
Dataset with metadata about more than 1,200,000 changes (commits) of the Linux kernel, corresponding to a period since 2005 to 2023, whichcan be easily ingested in data analytics systems.It also includes a list of more than 90,000 pairs of bug fixing changes and their correspondi...Dataset recolectado desde DataCite con autores de la URJC. El enlace le llevará directamente a los datos originales en dicho archivo. |