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391 to 400 of 553 Results
Feb 27, 2023 - Universidad Carlos III de Madrid
Marina Sánchez Moreno; Eva Méndez, 2023, "2023 YUFERING Open Science Calendar_Spanish-Version", https://doi.org/10.5281/ZENODO.7542998
The 2023 YUFERING Open Science Calendar with AI-generated images has been translated into Spanish. The Spanish version can be downloaded below, and the English version can be found here. The 2022 YUFERING Open Science Calendar and guidelines on how to customise the calendar are available here. Please do not forget to share your version of the calen...
Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
Feb 9, 2023 - Universidad de Alcalá
Susana Álvarez-Díez; J. Samuel Baixauli-Soler; María Belda-Ruiz; Gregorio Sánchez-Marín, 2026, "VARIABLE SELECTION FOR CLASSIFICATION AND FORECASTING OF THE FAMILY FIRM S SOCIOEMOTIONAL WEALTH", https://doi.org/10.5281/ZENODO.7624550
Dataset of the paper entitled "Variable selection for classification and forecasting of the family firm's socioemotional wealth"
Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Feb 1, 2023 - Universidad de Alcalá
Parras-Berrocal, I. M.; Vazquez, R.; Cabos, W.; Sein, D.; Alvarez, O.; Bruno, M.; Izquierdo, A., 2023, "ROM model data for Eastern Mediterranean Dense Water Formation", https://doi.org/10.5281/ZENODO.7594312
ROM model data for Eastern Mediterranean Dense Water Formation
Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Jan 26, 2023 - Universidad Carlos III de Madrid
Estibaliz Gómez-de-Mariscal; Martin Maška; Anna Kotrbová; Vendula Pospíchalová; Pavel Matula; Arrate Muñoz-Barrutia, 2022, "Small Extracellular Vesicle TEM Segmentation (Fully Residual U-Net)", https://doi.org/10.5281/ZENODO.6559474
Download RDF Package | DeepImageJ compatible fully residual U-Net trained to segment small extracellular vesicles in 2D TEM images (Uploaded via https://bioimage.io)
Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
Jan 19, 2023 - Universidad Rey Juan Carlos
Brajesh K. Singh; Jun-Tao Wang; Manuel Delgado-baquerizo; Fernando T. Maestre, 2026, "16S and 18S data from "Grazing and ecosystem service delivery in global drylands"", https://doi.org/10.6084/M9.FIGSHARE.20131355
There are five zip files with the raw sequence data used in the article "Maestre, F. T. et al. 2022. Grazing and ecosystem service delivery in global drylands. Science 378, 915–920". The file "16S_FM001-FM140.zip" contains the 16S data for the samples 1-140. The file "16S_FM141-FM266.zip" contains the 16S data for the samples 141-266. The file "18S...
Dataset recolectado desde DataCite con autores de la URJC. El enlace le llevará directamente a los datos originales en dicho archivo.
Jan 12, 2023 - Universidad de Alcalá
Abayomi-Alli Adebayo; Abayomi-Alli Olusola; Misra Sanjay; Fernandez-Sanz Luis, 2021, "Yahoo-Yahoo Hash-Tag Tweets Using Sentiment Analysis and Opinion Mining Algorithms", https://doi.org/10.5281/ZENODO.4748716
Background Social media opinion has become a medium to quickly access large, valuable, and rich details of information on any subject matter within a short period. Twitter being a social microblog site, generate over 330 million tweets monthly across different countries. Analysing trending topics on Twitter presents opportunities to extract meaning...
Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Jan 9, 2023 - Universidad Carlos III de Madrid
Marina Sánchez Moreno; Eva Méndez, 2023, "2023 YUFERING Open Science Calendar", https://doi.org/10.5281/ZENODO.7515858
Making Open Science ‘the new normal’ is one of the main goals of the YUFERING project (Horizon 2020). The YUFERING team from the Carlos III University of Madrid prepared the first calendar of this project on Open Science in 2022. Reflecting on its dissemination, use, and impact, the calendar has proven to be an effective tool to increase the awaren...
Dataset recolectado desde DataCite con autores de la UC3M. El enlace le llevará directamente a los datos originales en dicho archivo.
Dec 29, 2022 - Universidad de Alcalá
Luis Fernandez Sanz; Vera Pospelova; Inés López-Baldominos; Ana Castillo-Martínez, 2022, "Research data from the two surveys on IoT implementation for Article "User and Professional Aspects for Sustainable Computing Based on the Internet of Things in Europe"", https://doi.org/10.5281/ZENODO.7492254
The file includes data collected through two online surveys linked to the article "User and Professional Aspects for Sustainable Computing Based on the nternet of Things in Europe" published by journal Sensors in January 2023: Survey on factors that inlfuence IoT Adoption by non technical users Survey on recommended profile focused on IoT implement...
Dataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Dec 13, 2022 - Universidad de Alcalá
Gimenez-Guzman, Jose Manuel; Marsa-Maestre, Ivan; Cruz-Piris, Luis; Orden, David, 2026, "IEEE 802.11 graph models", https://doi.org/10.5281/ZENODO.5703321
The graph files and the corresponding EPS figures for the scenarios in J.M. Gimenez-Guzman, I. Marsa-Maestre, L. Cruz-Piris, D. Orden, M. Tejedor-Romero, "IEEE 802.11 graph models", Alexandria Engineering Journal, https://doi.org/10.1016/j.aej.2022.12.016 | This work has been partially funded by Projects PID2019-104855RB-I00/ AEI/ 10.13039/ 5011000...
Dataset recolectado desde Zenodo con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo.
Dec 13, 2022 - Universidad Nacional de Educación a Distancia (UNED)
Laila El-Hamamsy; María Zapata-Cáceres; Pedro Marcelino; Jessica Dehler Zufferey; Barbara Bruno; Estefanía Martín Barroso; ‪Marcos Román-González‬, 2022, "Dataset for the comparison of two Computational Thinking (CT) test for upper primary school (grades 3-4) : the Beginners CT test (BCTt) and the competent CT test (cCTt)", https://doi.org/10.5281/ZENODO.5885033
This dataset contains quantitative student data acquired during the administration of two validated Computational Thinking (CT) assessments for upper primary school (grades 3 and 4): the Beginners' CT test (BCTt) [1] and the comptent CT test (cCTt) [2] To compare the psychometric properties of both instruments a comparative analysis was conducted w...
Dataset recolectado desde DataCite con autores de la UNED. El enlace le llevará directamente a los datos originales en dicho archivo.
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