1,541 to 1,550 of 2,427 Results
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 8, 2023 - Universidad Politécnica de Madrid
Meyers-Angulo, Eduardo; Martínez-Cuevas, Sandra; Gaspar-Escribano, Jorge, 2023, "Catalogue of residential buildings and classification according to seismic vulnerability in the city of Murcia (Spain).", https://doi.org/10.21950/HLF2US, e-cienciaDatos, V1
The residential building catalogue and seismic vulnerability classification is a supplementary dataset associated with the paper entitled “Classifying Buildings According to Seismic Vulnerability Using Cluster-ANN Techniques. Applied to the City of Murcia, Spain The goal is to identify building patterns in construction typologies (CTs), related to... |
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 FormationDataset recolectado desde DataCite con autores de la UAH. El enlace le llevará directamente a los datos originales en dicho archivo. |
Jan 26, 2023 - Universidad Autónoma de Madrid
Mediavilla, Roberto, 2023, "RESPOND-HCWs - Mental health outcomes", https://doi.org/10.21950/HN1HNO, e-cienciaDatos, V2
RESPOND is an EU funded research project running from 2020 to 2023. The project aims to identify which groups are most at risk for adverse mental health effects due to the COVID-19 pandemic, as well as to understand what determines that risk. In Spain, we conducted a randomised controlled trial among healthcare workers (HCWs) with psychological dis... |
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. |
Goñi-Moreno, Ángel, 2023, "Confocal and fluorescence microscopy files of growing Pseudomonas putida microcolonies", https://doi.org/10.21950/ZAX7YW, e-cienciaDatos, V1
Description of the project The project aims at describing the formation and development of small bacterial colonies. Our hypothesis is that, along with nutrient and environmental conditions, the physical interactions between bacterial cells help shaping the micro colonies. Description of the dataset The dataset is divided into three folders, accord... |
Jan 13, 2023 - MapCom
Caffarel, Carmen; Lozano Ascencio, Carlos Horacio; Alejandro, Barranquero; Sandulescu Budea, Alexandra; Arcila Calderón, Carlos; RODRIGUEZ, EDUARDO FRANCISCO; Morales-Corral, Enrique; Ortega, Félix; Claes, Florencia; Teso, Gemma; Gómez Escalonilla, Gloria; López-Díez, Jaime; Serrano-Puche, Javier; Videla-Rodríguez, José-Juan; Piñuel Raigada, José Luis; GAITÁN-MOYA, JUAN ANTONIO; Sánchez Carrión, Juan Javier; Martín Algarra, Manuel; Cáceres Zapatero, María Dolores; Melón Jareda, María Elena; Corral Rey, María Nieves; Acosta Meneses, Yanet; Redondo, Marta; Fernández, Maximiliano; Izquierdo-Iranzo, Patricia; Rubira-García, Rainer; MARTINEZ GARCIA, RAMON; Rodriguez-Díaz, Raquel; Polledo-Zulueta, Yenisley, 2023, "Base de datos. Encuestas MapCom 2022", https://doi.org/10.21950/LY3PXB, e-cienciaDatos, V1
Base de Datos de la Encuesta MapCom 2020, aplicada a investigadores doctores docentes y no docentes en las universidades españolas,a investigadores en formación de programas de doctorado y a investigadores inscritos en sociedades científicas del área de la comunicación. |
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. |
