Repositorio de Datos de la UC3M
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11 a 20 de 918 Resultados
4 feb 2025
KREDLER, MATTHIAS; Barczyk, Daniel, 2025, "Stata do-files for "Long-Term Care across Europe and the U.S.: The Role of Informal and Formal Care"", https://doi.org/10.21950/1QIDCK, e-cienciaDatos, V1
The paper estimates the contribution of informal care to total hours of long-term care to elderly people in several European countries and the U.S. It develops a methodology to correct care hours for selection into nursing homes. It also provides a set of stylized facts on how ca...
4 feb 2025 - Federico-Tena World Population Historical Database
Federico, Giovanni; Tena Junguito, Antonio, 2025, "Federico-Tena World Population Historical Database : World Population borders 1991 (2025)", https://doi.org/10.21950/GW7SOZ, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: World Population borders 1991 (2025)
4 feb 2025 - Federico-Tena World Population Historical Database
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : List of Polities (World countries)", https://doi.org/10.21950/3SK54X, e-cienciaDatos, V4
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: List of Polities (World countries)
4 feb 2025
Caravaca, Francisco; Cuevas, Ángel; Cuevas, Rubén, 2023, "Keywords used by European Political Parties on Facebook", https://doi.org/10.21950/ENBQFP, e-cienciaDatos, V6
The dataset provides information about keywords used by political parties in the Facebook posts they publish in their main accounts. The dataset includes information extracted from more than 1M posts from Jan. 1 2019, across more than 270 political parties located in the 27 Europ...
4 feb 2025 - Federico-Tena World Population Historical Database
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Europe", https://doi.org/10.21950/WZUV5E, e-cienciaDatos, V2
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Europe
4 feb 2025 - Federico-Tena World Population Historical Database
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Micronesia", https://doi.org/10.21950/U8REPN, e-cienciaDatos, V2
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Micronesia
3 feb 2025 - Federico-Tena World Population Historical Database
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Melanesia", https://doi.org/10.21950/JB0CJP, e-cienciaDatos, V2
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Melanesia
3 feb 2025 - Federico-Tena World Population Historical Database
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Polynesia", https://doi.org/10.21950/MOAU7Q, e-cienciaDatos, V2
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Polynesia
3 feb 2025
Aguilera Caballero, Bego; Amigot, Ana; Casaldàliga, Anna; Losada Yáñez, Marina; Melero, Remedios; Ortiz Uceta, Eva; Prieto Jiménez, Antonio Juan; Rovira Fernández, Anna; Santanach López, Bruna, 2025, "Medición del Acceso Abierto en las universidades españolas y el CSIC (2019-2023)", https://doi.org/10.21950/BOMYUU, e-cienciaDatos, V1
Medición del acceso abierto en las universidades y centros de investigación del CSIC, periodo 2019-2023, realizada por la Línea II del Plan Estratégico de REBIUN (Red de Bibliotecas Universitarias Españolas) 2024-2027.
2 feb 2025
Cindy, 2025, "Predictive data analysis techniques for higher education students dropout | Predictive data analysis techniques for higher education students dropout", https://doi.org/10.57760/SCIENCEDB.07894
In this research, we have generated student retention alerts. The alerts are classified into two types: preventive and corrective. This classification varies according to the level of maturity of the data systematization process. Therefore, to systematize the data, data mining te...
Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
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