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Repositorio de Datos del Consorcio Madroño
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AnimatedSoundVersion1Clip.mp3
Mar 30, 2022 - Animated Sound
Audio MP3 - 5,7 MB - MD5: c294cd1ab2892a7534dba30d11b6b758
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Mar 30, 2022 - Animated Sound
Audio MP3 - 4,6 MB - MD5: f1e5584935376615b584056723ab6a33
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Mar 30, 2022 - Animated Sound
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Mar 30, 2022 - Animated Sound
Audio MP3 - 6,3 MB - MD5: 4ee9b01f67c02bf4fc54ea81b901ea9c
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Mar 30, 2022 - Animated Sound
Audio MP3 - 4,9 MB - MD5: a5129cd9c8113a81cd3b94613d537e9a
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Mar 30, 2022 - Animated Sound
Vídeo MPEG-4 - 8,6 MB - MD5: aa44a591294f9dfb38a2513e21218985
README_ANIMATEDSOUND.txt
Mar 30, 2022 - Animated Sound
Texto plano - 3,8 KB - MD5: 96607a3152531206801e93a6aa30b638
Replication Data for: Tracing the electorate of the Movimento Cinque Stelle: An ecological inference analysis
Mar 26, 2022 - Universidad Carlos III de Madrid
Russo, Luana; Riera, Pedro; Verthé, Tom, 2026, "Replication Data for: Tracing the electorate of the Movimento Cinque Stelle: An ecological inference analysis", https://doi.org/10.7910/DVN/20IR0P
Italian Parliamentary elections 2008 and 2013 Source: Ministero dell’Interno – Dipartimento degli Affari Interni e Territoriali – Servizi Elettorali
Dataset recolectado desde Dataverse con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
Data from: Fluid-kinetic model of a propulsive magnetic nozzle
Mar 24, 2022 - Universidad Carlos III de Madrid
Mario Merino; Judit Nuez; Eduardo Ahedo, 2021, "Data from: Fluid-kinetic model of a propulsive magnetic nozzle", https://doi.org/10.5281/ZENODO.5557591
# Data from: Fluid-kinetic model of a propulsive magnetic nozzle - Authors: Mario Merino, Judit Nuez, Eduardo Ahedo - Contact email: mario.merino@uc3m.es - Date: 2021-10-08 - Keywords: magnetic nozzle, plasma propulsion, electrodeless plasma thrusters, kinetic model, collisionless electron cooling, magnetic thrust - Version: 1.0.0 - Digital Object...
Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
A Survey on Adoption Guidelines for the FAIR4RS Principles: Dataset
Mar 24, 2022 - Universidad Politécnica de Madrid
Martinez, Paula Andrea; Struck, Alexander; Castro, Leyla Jael; Garijo, Daniel; Loewe, Axel; Gesing, Sandra; Barker, Michelle; Chue Hong, Neil; Erdmann, Christopher; Martinez-Ortiz, Carlos; Sansone, Susanna-Assunta, 2022, "A Survey on Adoption Guidelines for the FAIR4RS Principles: Dataset", https://doi.org/10.5281/ZENODO.6375539
A list of 30+ online resources have been identified and curated by the FAIR4RS Subgroup 5: Adoption Guidelines. These resources are available as the supplementary materials of the report (Martinez et al., 2022) and can be downloaded and cited from this landing page. The list is open for additions by the community via comments directly to this link....
Dataset recolectado desde DataCite con autores de la UPM. El enlace le llevará directamente a los datos originales en dicho archivo.
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