361 a 370 de 461 Resultados
22 sept 2022 - Universidad Carlos III de Madrid
Jorrat, Diego Andrés; Brañas Garza, Pablo; Espín, Antonio; Sánchez, Angel, 2025, "Paid and hypothetical time preferences are the same: Lab, field and online evidence", https://doi.org/10.5061/DRYAD.VT4B8GTVN
The use of real decision-making incentives remains under debate after decades of economic experiments. In time preferences experiments involving future payments, real incentives are particularly problematic due to between-options differences in transaction costs, among other issu...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
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Motivation: We accessed published and unpublished floristic sources to compile a comprehensive species list of the Iberian-Balearic terrestrial vascular flora and generate AFLIBER, an accurate floristic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. |
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. |
27 jul 2022 - Universidad Carlos III de Madrid
Anglade, Cyrielle; Cobian, Lucia; Monclus, Miguel; Karayagiz, Fatma; Mustafa, Mohib; Noels, Ludovic, 2025, "Finite-strain Visco-elastic Visco-plastic model identification of PA12 material printed along different directions", https://doi.org/10.5281/ZENODO.6903647
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 Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
16 jul 2022 - Universidad Carlos III de Madrid
David Exposito Singh, 2025, "EpiGraph experimental data for Madrid", https://doi.org/10.5281/ZENODO.6838294
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 Zenodo con autores de la UC3M. 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. |
24 jun 2022 - Universidad de Alcalá
Alberto Romero-Blanco; Pilar Castro-Díez; Adrián Lázaro-Lobo; Rafael Molina-Venegas; paula cruces; Petr Pyšek, 2025, "Global database with the effect size of many non-native tree species on regulating ecosystem services", https://doi.org/10.6084/M9.FIGSHARE.20141483.V3
This data set is a global compendium of the impacts of non-native trees (NNT; column G) on regulating ecosystem services (RES; column A). The data were extracted from the global database compiled by Castro-Díez et al. (2019). The data set also includes several functional traits f...Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
24 jun 2022 - Universidad Carlos III de Madrid
Erosa, Andres; Fuster, Luisa; Kambourov, Gueorgui; Rogerson, Richard, 2025, "Data and Code for: Hours, Occupations, and Gender Differences in Labor Market Outcomes", https://doi.org/10.3886/E130201
Goldin (2014) offers a narrative in which gender differences in home production responsibilities create gender gaps in labor market outcomes. We carry out a model based quantitative assessment of this narrative and find that empirically reasonable gender differences in home produ...Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
18 jun 2022 - Universidad Carlos III de Madrid
Pablo Tomas Campos, 2025, "Chess piece dataset for image classification", https://doi.org/10.5281/ZENODO.6656212
Chess piece dataset for image classification. Contains 4 different chess sets, 3 used for training and the remainder for validation purposes. Each chess piece from each set has been photograph by a static bird s eyes camera from each of the 64 squares that form a chess board. Thi...Dataset recolectado desde Zenodo con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo. |
