BUSCADOR RECOLECTA

Dades primàries associades a l'article publicat a EClinicalMedicine, vol. 32 [https://doi.org./10.1016/j.eclinm.2020.100720], The trial was conducted in the Pamplona metropolitan area (Navarra, Spain). Patients were enrolled between July 31, 2020 and September 11, 2020 and randomized in a 1:1 ratio to ivermectin (400 mcg/kg) single oral dose or placebo. Assessments on enrollment and at days 4, 7, 14, 21 and 28 post treatment included: general symptoms report, physical examination and adverse events. All patients were asked to complete a daily online diary of symptoms from day 1 to 28 post treatment. On enrollment, as well as on days 7 and 14 blood samples were obtained to assess full blood count, C reactive protein, procalcitonin, ferritin, creatinine phosphokinase, lactic dehydrogenase, troponin T, D dimer, IL-6, and renal function. Viral loads were calculated at enrollment and on days 4, 7, 14 and 21 post treatment based on a nasopharyngeal swab for SARS-CoV-2 PCR (for genes N and E). A semi-quantitative serology for IgG against SARS-CoV-2 was done on samples from all patients on day 21 post-treatment.

Relació d'ajuts concedits a autors de la Universitat de Barcelona per publicar en accés obert durant l'any 2020. Inclou en format CSV el DOI, el títol, els autors, el nom de la revista i l'import concedit.

Relació d'ajuts concedits a autors de la Universitat de Barcelona per publicar en accés obert durant l'any 2021. Inclou en format CSV el DOI, el títol, els autors, el nom de la revista i l'import concedit.

Relació d'ajuts concedits a autors de la Universitat de Barcelona per publicar en accés obert durant l'any 2022. Inclou en format CSV el DOI, el títol, els autors, el nom de la revista i l'import concedit

Relació d'ajuts concedits a autors de la Universitat de Barcelona per publicar en accés obert durant l'any 2023. Inclou en format CSV el DOI, el títol, els autors, el nom de la revista i l'import concedit.

Dataset of Tie and Tag: A Study of Tie Strength and Tags for Photo Sharing

Here you will find a model of the cooling system of a PEMFC-based micro-CHP system. This model is implemented in Matlab/Simulink, version 9.3.0.713579 (R2017b). The model and the tests conducted for its development are described in detail in the following paper: Title: Control-Oriented Modeling of the Cooling Process of a PEMFC-Based micro-CHP System Authors: SANTIAGO NAVARRO GIMÉNEZ, JUAN MANUEL HERRERO DURÁ, FRANCESC XAVIER BLASCO FERRAGUD and RAÚL SIMARRO FERNÁNDEZ. Instituto Universitario de Automática e Informática Industrial Universidad Politécnica de Valencia In this folder (uCHP_Cooling_System), you will find the following files: Complete_Model_M.slx Complete_Model_V.slx Filter.m Modeling_Test.mat Parameters.mat S_Complete_Model_M.m S_Complete_Model_V.m Validation_Test.mat In both Complete_Model_M.slx and Complete_Model_V.slx you will find the implementation of the complete model in Simulink. The only difference between them is that the former is prepared for the data set from the modeling test (Modeling_Test.mat) and the latter for the data set from the modeling test (Validation_Test.mat). In order to launch the simulations, you have to run the scripts S_Complete_Model_M.m and S_Complete_Model_V.m, respectively. The file Parameters.mat contain the values of the parameters of the model. The file Filter.m is just a filter, which is used in both scripts. Please, read the comments in the scripts mentioned for more information. Thanks.

Este dataset contiene por una parte la muestra inicial de 73.268 vídeos recuperados en YouTube ante consultas específicas relacionadas con covid-19 y España y, por otra parte, la muestra final de 39-702 vídeos en los que aparece explícitamente el término coronavirus, covid-19 o SARS-CoV-2 en el título o descripción de los vídeos. Para cada vídeo se ofrecen distintos descriptores (autor, canal, fecha de publicación, categorización, título, duración) y métricas (visualizaciones, likes, dislikes y comentarios). Los datos fueron obtenidos mediante la herramienta Webometric Analyst durante mayo de 2020. Este dataset forma parte del estudio titulado "Covid-19: análisis métrico de vídeos y canales de comunicación en YouTube", aceptado para su publicación en la revista El profesional de la información.