3.191 a 3.200 de 5.293 Resultados
Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Saint Barthélemy (Norwegian colonies)", https://doi.org/10.21950/OGPYF5, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Saint Barthélemy (Norwegian colonies) |
28 jul 2023 -
Federico-Tena World Population Historical Database : Saint Barthélemy (Norwegian colonies)
Adobe PDF - 149,6 KB -
MD5: 8f616511f228552d5349d9c3d54c8476
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28 jul 2023 -
Federico-Tena World Population Historical Database : Saint Barthélemy (Norwegian colonies)
Hoja de cálculo MS Excel - 15,6 KB -
MD5: 451bab83f15180382e8dcdb7e296da91
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Federico, Giovanni; Tena Junguito, Antonio, 2023, "Federico-Tena World Population Historical Database : Africa", https://doi.org/10.21950/8EWODF, e-cienciaDatos, V1
Project developed by Giovanni Federico (New York University Abu Dhabi) and Antonio Tena Junguito (Universidad Carlos III de Madrid). Dataset: Africa |
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Adobe PDF - 148,1 KB -
MD5: b0c2899c2bde3f3d09227156cd1fe689
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Datos tabulares - 130,2 KB
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26 jul 2023
CHEN, Junwei; DISCETTI, Stefano; RAIOLA, Marco, 2022, "Dataset of "Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes"", https://doi.org/10.5281/ZENODO.6473074
Dataset of the article Pressure from data-driven estimation of velocity fields using snapshot PIV and fast probes (https://doi.org/10.1016/j.expthermflusci.2022.110647). A data-driven method is applied to combine non-time-resolved velocity field and fast probe data, and achieve t...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
26 jul 2023
Güemes, Alejandro; Sanmiguel Vila, Carlos; Discetti, Stefano, 2022, "Dataset of "Super-resolution generative adversarial networks of randomly seeded fields"", https://doi.org/10.5281/ZENODO.7191209
Dataset of the article "Super-resolution generative adversarial networks of randomly seeded fields" (https://doi.org/10.1038/s42256-022-00572-7) The codes processing data here are on https://github.com/eaplab/RaSeedGAN This project has received funding from the European Research...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
26 jul 2023
Tirelli, Iacopo; Ianiro, Andrea; Discetti, Stefano, 2022, "Dataset of "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification"", https://doi.org/10.5281/ZENODO.6922576
Dataset of the article "An end-to-end KNN-based PTV approach for high-resolution measurements and uncertainty quantification" (https://doi.org/10.1016/j.expthermflusci.2022.110756). Local similarity between non-time-resolved snapshots is enforced by KNN to extract high-resolution...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
25 jul 2023 -
Synthetic patients with .trc movements
Archivo ZIP - 2,0 GB -
MD5: 77b561c479d892e0a72869ddd2f4c171
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