371 a 380 de 481 Resultados
20 sept 2022 - Universidad de Alcalá
Ramos-Gutiérrez, Ignacio; Lima, Herlander; Pajarón, Santiago; Romero-Zarco, Carlos; Sáez, Llorenç; Molina-Venegas, Rafael; Rodríguez, Miguel Ángel; Moreno-Saiz, Juan Carlos, 2025, "Atlas of the vascular flora of the Iberian Peninsula biodiversity hotspot (AFLIBER)", https://doi.org/10.5061/DRYAD.GMSBCC2KV
Motivation: We accessed published and unpublished floristic sources to compile a comprehensive species list of the Iberian-Balearic terrestrial vascular flora and generate AFLIBER, an accurate floristic database of georeferenced plant occurrence records. Main type of variable con...Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
12 sept 2022 - Universidad Carlos III de Madrid
Jesus Cid-Sueiro; Jerónimo Arenas-García; Vanessa Gómez-Verdejo, 2021, "Introductory Notebooks on Machine Learning topics", https://doi.org/10.5281/ZENODO.4617259
Collection of Notebooks for Machine Learning Courses. Intended to be used in ML courses taught by the authors at Universidad Carlos III de Madrid, but also as open resources for any other person interested in learning about Machine Learning with theoretical aspects and many examp...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
7 sept 2022 - Universidad Nacional de Educación a Distancia (UNED)
Pedro Madrigal; Nitin K. Singh; Jason M. Wood; Elena Gaudioso; Félix Hernández-del-Olmo; Christopher E. Mason; Kasthuri Venkateswaran; Afshin Beheshti, 2025, "Additional file 3 of Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome", https://doi.org/10.6084/M9.FIGSHARE.20579611
Additional file 3: Table S1. Rank of MT-1 isolates, ordered by number of ARGs predicted, shown in Fig. 4a. Species information obtained from Microbial Nucleotide BLAST.Dataset recolectado desde DataCite con autores de la UNED. El enlace le llevará directamente a los datos originales en dicho archivo. |
3 sept 2022 - Universidad de Alcalá
Nuñez, Sergio; Guerrero, Antonio; Cid, Consuelo, 2022, "UAH VLF Antenna Python Software Development", https://doi.org/10.5281/ZENODO.7045815
Abstract. Solar flares are powerful releases of electromagnetic energy in the solar atmosphere, which are observed at all wavelengths from radio waves to gamma-rays. For flaring monitoring, major agencies rely nowadays on measurements of solar soft X-ray emission such as from the...Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
5 ago 2022 - Universidad Carlos III de Madrid
M. Dolores Collado; Ignacio Ortuño-Ortín; Jan Stuhler, 2022, "Replication package for: Estimating Intergenerational and Assortative Processes in Extended Family Data", https://doi.org/10.5281/ZENODO.6527458
Replication package for the article Collado, Ortuño-Ortín and Stuhler (2022), "Estimating Intergenerational and Assortative Processes in Extended Family Data", Review of Economic Studies. The replication package includes the Mathematica and Gauss codes to replicate the tables and...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
26 jul 2022 - Universidad Carlos III de Madrid
Anglade, Cyrielle; Cobian, Lucia; Monclus, Miguel; Karayagiz, Fatma; Mustafa, Mohib; Noels, Ludovic, 2022, "Finite-strain Visco-elastic Visco-plastic model identification of PA12 material printed along different directions", https://doi.org/10.5281/ZENODO.6903646
The data provide the identification of PA12 bulk material for a finite-strain visco-elastic-visco-plastic (VE-VP) model printed along two directions. Tests were conducted in L. Cobian, M. Rueda-Ruiz, J.P. Fernandez-Blazquez, V. Martinez, F. Galvez, F. Karayagiz, T. Lück, J. Segur...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
15 jul 2022 - Universidad de Alcalá
C. Larrodera; C. Cid; M. Flores-Soriano, 2022, "The solar wind speed through the radial distance", https://doi.org/10.5281/ZENODO.6838947
Our research is based on the analysis of the solar wind speed distribution provided by the SWEAP instrument onboard the Parker Solar Probe spacecraft (PSP). The dataset provide measurements from 16 to 202 solar radii, covering the nine first orbits of the PSP. To obtain more deta...Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
15 jul 2022 - Universidad de Alcalá
Manuel Domínguez-Rodrigo; Elia Organista; Enrique Baquedano; Gabriel Cifuentes-Alcobendas; Marcos Pizarro; Marina Vegara-Riquelme; Agness Gidna; David Uribelarrea; David Martín-Perea, 2025, "glrm from Neo-taphonomic analysis of the misiam leopard lair from Olduvai gorge (Tanzania): understanding leopard–hyena interactions in open settings", https://doi.org/10.6084/M9.FIGSHARE.20321797.V1
R code to reproduce the analysesDataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
15 jul 2022 - Universidad Carlos III de Madrid
David Exposito Singh, 2022, "EpiGraph experimental data for Madrid", https://doi.org/10.5281/ZENODO.6838293
EpiGraph is an agent-based parallel simulator that performs realistic stochastic simulations of the propagation of the COVID-19 virus across wide geographic expanses. The current implementation of EpiGraph includes functionalities for modelling via a realistic interconnection net...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
29 jun 2022 - Universidad Carlos III de Madrid
Francesca Lipari; Alberto Antonioni, 2022, "When the design of climate policy meets public acceptance: an adaptive multiplex network model", https://doi.org/10.5281/ZENODO.6780131
Code to generate the results for the "When the design of climate policy meets public acceptance: an adaptive multiplex network model" paper, plus the obtained results in the figures reported in the paper.Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
