Resultados totales (Incluyendo duplicados): 45649
Encontrada(s) 4565 página(s)
Encontrada(s) 4565 página(s)
Docta Complutense
oai:docta.ucm.es:20.500.14352/102966
Dataset. 2024
RESULTADO DE LA ENCUESTA DE CLIMA LABORAL 2023
- Biblioteca Complutense
Se trata de una encuesta de clima laboral durante el año 2023 llevado a cabo por la Biblioteca Universidad Complutense de Madrid, más concretamente por el Servicio de Evaluación de Procesos y Centros
Proyecto: //
DOI: https://hdl.handle.net/20.500.14352/102966
Docta Complutense
oai:docta.ucm.es:20.500.14352/102966
HANDLE: https://hdl.handle.net/20.500.14352/102966
Docta Complutense
oai:docta.ucm.es:20.500.14352/102966
PMID: https://hdl.handle.net/20.500.14352/102966
Docta Complutense
oai:docta.ucm.es:20.500.14352/102966
Ver en: https://hdl.handle.net/20.500.14352/102966
Docta Complutense
oai:docta.ucm.es:20.500.14352/102966
Docta Complutense
oai:docta.ucm.es:20.500.14352/105149
Dataset. 2024
SUPPLEMENTARY INFORMATION FOR CRYSTALLIZATION OF CALCIUM CARBONATE AND CALCIUM PHOSPHATE PHASES IN SILICA HYDROGEL: MORPHOLOGICAL AND COMPOSITIONAL CHARACTERIZATION
- Nuria Sánchez-Pastor
- André Jorge Pinto
- Pablo del Buey Fernández
- José Manuel Astilleros
Proyecto: //
DOI: https://hdl.handle.net/20.500.14352/105149
Docta Complutense
oai:docta.ucm.es:20.500.14352/105149
HANDLE: https://hdl.handle.net/20.500.14352/105149
Docta Complutense
oai:docta.ucm.es:20.500.14352/105149
PMID: https://hdl.handle.net/20.500.14352/105149
Docta Complutense
oai:docta.ucm.es:20.500.14352/105149
Ver en: https://hdl.handle.net/20.500.14352/105149
Docta Complutense
oai:docta.ucm.es:20.500.14352/105149
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/55150
Dataset. 2015
HUMAN ATRIA AND TORSO 3D COMPUTATIONAL MODELS FOR SIMULATION OF ATRIAL ARRHYTHMIAS
MODELOS COMPUTACIONAL 3D DE AURÍCULA Y TORSO HUMANOS REALISTAS PARA LA SIMULACIÓN DE ARRITMIAS AURICULARES
- Sebastián Aguilar, Rafael
- Ferrer Albero, Ana|||0000-0001-7642-916X
- Saiz Rodríguez, Francisco Javier|||0000-0002-9850-0825
Computational 3D models of human atria and torso with encoded anatomical and functional heterogeneity. The finite element model of the atria is a multi-layer mesh with a homogeneous wall thickness between 600 and 900 μm (754.893 nodes and 515.010 elements), built with linear hexahedral elements and with regular spatial resolution of 300 µm. The model consists of: 21 regions with 53 sub-divisions representing the detailed description of fibre orientation; electrophysiological heterogeneity represented by 8 cellular models with differences in the action potential properties; and conduction velocities and anisotropy ratios tuned to each atrial region. The torso was modelled using a dataset obtained from the online open repository at the Centre for Integrative Biomedical Computing (CBIC) from University of Utah. The torso model has 190.804 nodes and 1.149.531 tetrahedral elements with a spatial resolution of 0.6 mm. It has 6 different regions: lungs, bones, liver, ventricle, blood pools, and flesh.
Proyecto: //
DOI: Dataset/10251/55150" target="_blank">http://hdl.handle.net/10251/55150, https://dx.doi.org/10.4995/Dataset/10251/55150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/55150
HANDLE: Dataset/10251/55150" target="_blank">http://hdl.handle.net/10251/55150, https://dx.doi.org/10.4995/Dataset/10251/55150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/55150
PMID: Dataset/10251/55150" target="_blank">http://hdl.handle.net/10251/55150, https://dx.doi.org/10.4995/Dataset/10251/55150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/55150
Ver en: Dataset/10251/55150" target="_blank">http://hdl.handle.net/10251/55150, https://dx.doi.org/10.4995/Dataset/10251/55150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/55150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/90297
Dataset. 2017
APD, QT INTERVAL AND TX VALUES
- Saiz Rodríguez, Francisco Javier|||0000-0002-9850-0825
- Sanz i Carreras, Ferran
- Pastor Maeso, Manuel
- Trénor Gomis, Beatriz Ana|||0000-0001-9166-6112
- Gomis-Tena Dolz, Julio|||0000-0002-1309-2368
- Cano García, Jordi|||0000-0001-9461-9848
- Romero Pérez, Lucia|||0000-0003-4605-8630
This repository contains four Excel 2017 files named “APD.xlsx”, “QT.xlsx”, “Tx_APD.xlsx” and “Tx_QT.xlsx”. APD.xlsx and Tx_APD.xlsx files contain three sheets (called “Epi”, “Mid” and “Endo”), whereas the rest contain only one sheet (called “QT”). These files contain the results of simulations performed in the O’Hara-Rudy model (ORd) [1] of human ventricular cells (206.766 simulations) and tissue (7072 simulations), which consist of APD90 and QT intervals as well as a new index called Tx extracted from both APD and QT values. References: [1]. O’Hara, T.; Virág, L.; Varró, A.; Rudy, Y. Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation. PLoS Comput. Biol. 2011, 7 (5), e1002061. [2]. Romero L., Cano J., Gomis-Tena J., Trenor B., Sanz F., Pastor M., Saiz J. In silico QT and APD Prolongation Assay for Early Screening of Drug-Induced Proarrhythmic Risk. Journal of Chemical Information and Modeling. 2017 (Currently in revision).
DOI: Dataset/10251/90297" target="_blank">http://hdl.handle.net/10251/90297, https://dx.doi.org/10.4995/Dataset/10251/90297
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/90297
HANDLE: Dataset/10251/90297" target="_blank">http://hdl.handle.net/10251/90297, https://dx.doi.org/10.4995/Dataset/10251/90297
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/90297
PMID: Dataset/10251/90297" target="_blank">http://hdl.handle.net/10251/90297, https://dx.doi.org/10.4995/Dataset/10251/90297
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/90297
Ver en: Dataset/10251/90297" target="_blank">http://hdl.handle.net/10251/90297, https://dx.doi.org/10.4995/Dataset/10251/90297
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/90297
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/117194
Dataset. 2019
TWITTER DATASET - 2015 SPANISH GENERAL ELECTION
- Baviera Puig, Tomás|||0000-0002-2331-6628
- Calvo, Dafne
- Llorca-Abad, Germán
Twitter dataset for a research on the 2015 Spanish General Election.
The tweets were obtained through the Twitter API's Search function since November 2 to December 21, 2015. Three criteria for filtering tweets were established: two general terms linked to the elections ("#20D", "20-D"); the name and usernames of the four main parties (PP, PSOE, Podemos and Ciudadanos), and the name and usernames of the four candidates from those parties. The research assessed the tweet's issue according to Patterson (1980)'s typology for evaluating political mediatisation. The dataset contains three files: the unlabelled collection of the 15.8 million tweet ids obtained through the API, the annotated sample of the 3,117 tweet ids for assessing the issue via machine learning, and the readme.txt file. It is recommended to open the file from a text editor or through a script. The id_str must be handled as a string. If the file is open from Excel, the id_str will be interpreted as a number, and then converted into a float, losing information in this transformation
DOI: Dataset/10251/117194" target="_blank">http://hdl.handle.net/10251/117194, https://dx.doi.org/10.4995/Dataset/10251/117194
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/117194
HANDLE: Dataset/10251/117194" target="_blank">http://hdl.handle.net/10251/117194, https://dx.doi.org/10.4995/Dataset/10251/117194
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/117194
PMID: Dataset/10251/117194" target="_blank">http://hdl.handle.net/10251/117194, https://dx.doi.org/10.4995/Dataset/10251/117194
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/117194
Ver en: Dataset/10251/117194" target="_blank">http://hdl.handle.net/10251/117194, https://dx.doi.org/10.4995/Dataset/10251/117194
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/117194
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/136919
Dataset. 2020
TX, TQNET AND TTRIANG VALUES
IN-SILICO CLASSIFIERS FOR ASSESSMENT OF DRUG PROARRHYTMICITY
- Llopis Lorente, Jordi|||0000-0002-3958-8062
- Gomis-Tena Dolz, Julio|||0000-0002-1309-2368
- Cano García, Jordi|||0000-0001-9461-9848
- Romero Pérez, Lucia|||0000-0003-4605-8630
- Saiz Rodríguez, Francisco Javier|||0000-0002-9850-0825
- Trénor Gomis, Beatriz Ana|||0000-0001-9166-6112
This repository contains the Matlab functions used in [1] and six Excel files named “Tx matrix KrKsCaL.xlsx”, “Tx matix KrNaLCaL.xlsx”, “TqNet matrix KrKsCaL.xlsx”, “TqNet matrix KrNaLCaL.xlsx”, "Ttirang matrix KrKsCaL.xlsx" and “Ttirang matrix KrNaLCaL.xlsx”. These files contain the value of three arrhythmogenic indices proposed in [1] (Tx, TqNet and Ttriang) resulting from simulations of drug effects on the action potential. The simulations were performed in a modified version of the O’Hara-Rudy model (ORd) [2] of human endocardial ventricular cells (492.536 simulations). References: [1]. Llopis J., Gomis-Tena J., Cano J., Romero L., Saiz J., Trenor B. In-Silico Classifiers for Assessment of Drug Proarrhythmicity. 2020 (Currently under revision) [2]. O’Hara, T.; Virág, L.; Varró, A.; Rudy, Y. Simulation of the Undiseased Human Cardiac Ventricular Action Potential: Model Formulation and Experimental Validation. PLoS Comput. Biol. 2011, 7 (5), e1002061., The authors would like to strongly thank Dr. Manuel Pastor from Research Programme on Biomedical Informatics (GRIB), at Universitat Pompeu Fabra (Barcelona, Spain) for its review of the manuscript and expert opinions and suggestions. This work was partially supported by the Dirección general de Política Científica de la Generalitat Valencia (PROMETEU2016/088), Primeros Proyectos de Investigación (PAID-06-18), Vicerrectorado de Investigación, Innovación y Transferencia de la Universitat Politècnica de València (UPV), València, Spain as well as Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016 from the Ministerio de Economía, Industria y Competitividad of Spain (DPI2016-75799-R) and AEI/FEDER, UE. JL is being funded by the Ministerio de Ciencia, Innovación y Universidades for the Formación de Profesorado Universitario (grant reference: FPU18/01659).
DOI: Dataset/10251/136919" target="_blank">http://hdl.handle.net/10251/136919, https://dx.doi.org/10.4995/Dataset/10251/136919
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/136919
HANDLE: Dataset/10251/136919" target="_blank">http://hdl.handle.net/10251/136919, https://dx.doi.org/10.4995/Dataset/10251/136919
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/136919
PMID: Dataset/10251/136919" target="_blank">http://hdl.handle.net/10251/136919, https://dx.doi.org/10.4995/Dataset/10251/136919
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/136919
Ver en: Dataset/10251/136919" target="_blank">http://hdl.handle.net/10251/136919, https://dx.doi.org/10.4995/Dataset/10251/136919
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/136919
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/138727
Dataset. 2020
UNIVERSIDADES EN GOOGLE: HACIA UN MODELO DE ANÁLISIS MULTINIVEL DEL POSICIONAMIENTO WEB ACADÉMICO: MATERIAL COMPLEMENTARIO
- Gonzalez-Llinares, Javier
- Font Julián, Cristina Isabel|||0000-0003-2351-4816
- Orduña Malea, Enrique|||0000-0002-1989-8477
Material complementario con datos brutos utilizados en artículo aceptado para su publicación en la Revista Española de Documentación Científica.
Se incluye la taxonomía de consultas realizada, las combinaciones de palabras clave y consultas efectuadas, los resultados de posicionamiento de universidades públicas valencianas en Google (top 20) así como la clasificación temática del primer sitio web posicionado de cada universidad para cada consulta.
Proyecto: //
DOI: Dataset/10251/138727" target="_blank">http://hdl.handle.net/10251/138727, https://dx.doi.org/10.4995/Dataset/10251/138727
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/138727
HANDLE: Dataset/10251/138727" target="_blank">http://hdl.handle.net/10251/138727, https://dx.doi.org/10.4995/Dataset/10251/138727
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/138727
PMID: Dataset/10251/138727" target="_blank">http://hdl.handle.net/10251/138727, https://dx.doi.org/10.4995/Dataset/10251/138727
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/138727
Ver en: Dataset/10251/138727" target="_blank">http://hdl.handle.net/10251/138727, https://dx.doi.org/10.4995/Dataset/10251/138727
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/138727
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/139575
Dataset. 2013
CORRELATION ANALYSIS BETWEEN THE LIBRARY AND RESEARCH OUTPUTS AT THE UNIVERSITAT POLITÈCNICA DE VALÈNCIA
- Fernández Burguete, Sergio|||0000-0002-1079-1008
- Rubio Montero, Francisco José|||0000-0003-4981-6740
[EN] The data were used to analyse the correlation between some aspects of the library of the Universitat Politècnica de València (UPV) and the research outputs of the UPV. There are two kinds of data: on the one hand, data of the library of the UPV that was mainly obtained from the statistical data published annually by REBIUN. On the other hand, data of research outputs of the UPV that were obtained by consulting different bibliographic databases such as SCOPUS. Several variables of each kind of data were selected and a correlation analysis was made between different variables of each group.
Proyecto: //
DOI: Dataset/10251/139575" target="_blank">http://hdl.handle.net/10251/139575, https://dx.doi.org/10.4995/Dataset/10251/139575
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/139575
HANDLE: Dataset/10251/139575" target="_blank">http://hdl.handle.net/10251/139575, https://dx.doi.org/10.4995/Dataset/10251/139575
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/139575
PMID: Dataset/10251/139575" target="_blank">http://hdl.handle.net/10251/139575, https://dx.doi.org/10.4995/Dataset/10251/139575
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/139575
Ver en: Dataset/10251/139575" target="_blank">http://hdl.handle.net/10251/139575, https://dx.doi.org/10.4995/Dataset/10251/139575
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/139575
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
Dataset. 2020
[SUPPLEMENTARY MATERIAL] MULTIDIMENSIONAL TAXONOMY OF UNIVERSITY RANKINGS
- Orduña Malea, Enrique|||0000-0002-1989-8477
- Perez-Esparrells, Carmen
Se incluye una muestra de 60 rankings globales de universidades, categorizados en función de una taxonomía propuesta. Estos contenidos constituyen los datos utilizados en un capítuo de libro de futura publicación.
Proyecto: //
DOI: Dataset/10251/140526" target="_blank">http://hdl.handle.net/10251/140526, https://dx.doi.org/10.4995/Dataset/10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
HANDLE: Dataset/10251/140526" target="_blank">http://hdl.handle.net/10251/140526, https://dx.doi.org/10.4995/Dataset/10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
PMID: Dataset/10251/140526" target="_blank">http://hdl.handle.net/10251/140526, https://dx.doi.org/10.4995/Dataset/10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
Ver en: Dataset/10251/140526" target="_blank">http://hdl.handle.net/10251/140526, https://dx.doi.org/10.4995/Dataset/10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
Dataset. 2020
2019 SPANISH GENERAL ELECTIONS FACEBOOK ADS DATASET
- Baviera Puig, Tomás|||0000-0002-2331-6628
The sponsored content on social networks has raised new questions and research objectives, including discussions regarding the budget invested in these sites by political parties, as well as the new central role that technology corporations play in electoral contexts. This dataset comprises 10,485 Facebook Ad corpus obtained from the Facebook Ad Library through a web crawler developed in Pyhton. The dataset elements correspond to the Facebook Ads paid by the main national political parties during the two 2019 Spanish General Elections precampaign and campaign. The parties are the following: Partido Socialista Obrero Español (PSOE), Partido Popular (PP), Ciudadanos, Unidas Podemos (coalition of Podemos and Izquierda Unida) and Vox. The General Elections were held on April 28 and November 10., We would like to thank Exponentia CIO Juan Besari for providing the appropriate hardware to carry out the Facebook Ad extraction processes.
DOI: Dataset/10251/146502" target="_blank">http://hdl.handle.net/10251/146502, https://dx.doi.org/10.4995/Dataset/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
HANDLE: Dataset/10251/146502" target="_blank">http://hdl.handle.net/10251/146502, https://dx.doi.org/10.4995/Dataset/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
PMID: Dataset/10251/146502" target="_blank">http://hdl.handle.net/10251/146502, https://dx.doi.org/10.4995/Dataset/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
Ver en: Dataset/10251/146502" target="_blank">http://hdl.handle.net/10251/146502, https://dx.doi.org/10.4995/Dataset/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
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