4.621 a 4.630 de 6.016 Resultados
11 abr 2023 -
La Universidad de Gerona (1561-1717)
Hoja de cálculo MS Excel - 11,0 KB -
MD5: 5e35a611ad5c3c56e211e4fbcff3ea21
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11 abr 2023 -
La Universidad de Gerona (1561-1717)
Texto plano - 3,6 KB -
MD5: 3fbed11257dc64cbebcde287d62d9263
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11 abr 2023 -
La Universidad de Gerona (1561-1717)
Adobe PDF - 557,7 KB -
MD5: 40065f676ad1f062ccf4e52f4fb7e851
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Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : French West Africa", https://doi.org/10.21950/GJBUHH, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: French West Africa |
Adobe PDF - 148,9 KB -
MD5: 94adfa061a1986a41ebf89d5714f6a55
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Hoja de cálculo MS Excel - 16,9 KB -
MD5: cd400763b0447537ee9eec684e63ca53
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9 abr 2023
Domènech, Jordi, 2025, "Land reform and conflict in 1930s Extremadura (Spain)", https://doi.org/10.3886/E188541
This project contains the data files and code of the paper Sergi Basco, Jordi Domènech, and Laura Maravall, "Land Reform and Rural Conflict in Agrarian Economies: Evidence from 1930s Spain" | Universe of municipalities in the two provinces of the Extremadura region in Spain.Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
8 abr 2023
Liu, Yanfang; Olmos, Pablo M.; Mitchell, David G. M., 2025, "Generalized LDPC codes for ultra reliable low latency communication in 5G and beyond", https://doi.org/10.5061/DRYAD.B2RBNZSF4
Fifth-generation (5G) systems aim to increase the capacity of existing mobile networks by a factor of 1000, supporting an extremely high user density, as well as numerous device- to-device and machine communications. Ultra Reliable Low Latency Communication (URLLC) constitutes on...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Mauritius", https://doi.org/10.21950/QYHXYN, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Mauritius |
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Adobe PDF - 149,9 KB -
MD5: 47392e6944953edba2bb1a23630c77e4
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