Skip to main content

Resultados de investigación

Rights
Projectcode
Resultados totales (Incluyendo duplicados): 23498
Encontrada(s) 2350 página(s)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212189
Set de datos (Dataset). 2024

3D4HERITAGE_FISHERMEN’S HOUSES CULLERA [DATASET]

  • Gil Piqueras, Teresa
  • Rodríguez Navarro, Pablo
Graphic info from Fishermen’s Houses 3D4HERITAGE.

DOI: https://riunet.upv.es/handle/10251/212189
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212189
HANDLE: https://riunet.upv.es/handle/10251/212189
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212189
PMID: https://riunet.upv.es/handle/10251/212189
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212189
Ver en: https://riunet.upv.es/handle/10251/212189
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212189

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231818
Set de datos (Dataset). 2026

LOW-STARCH POTATO PEEL FOR THE DEVELOPMENT OF STARCH-BASED COMPOSITES [DATASET]

  • Martín-Esparza, M.E.
  • González Martínez, María Consuelo
  • Santos-Iparraguirre, Marta
  • Chiralt, Amparo
[ES] Este dataset incluye los datos en bruto reflejados en el artículo científico titulado Low-starch potato peel for the development of starch-based composites obtained by thermocompression moulding de las autoras: Marta Santos-Iparraguirre, Amparo Chiralt, M. Eugenia Martin-Esparza, Chelo González-Martínez publicado en la revista: Sustainable Food Technology Editorial: Royal Society of Chemistry Año: 2026 (accepted on 19-01-2026), Los autores agradecen la ayuda recibida a través de los siguientes proyectos: Polihidroxialcanoatos para el desarrollo de materiales de envasado biodegradables activos para la conservación de alimentos, PID2022-140444OB-I00 financiado por la State Research Agency, y Aprovechamiento integral de residuos agroalimentarios y su aplicación en el desarrollo de envases biodegradables activos para alimentos, AGROALNEXT/2022/026 financiado por European Union NextGenerationEU/PRTR,

DOI: https://riunet.upv.es/handle/10251/231818
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231818
HANDLE: https://riunet.upv.es/handle/10251/231818
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231818
PMID: https://riunet.upv.es/handle/10251/231818
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231818
Ver en: https://riunet.upv.es/handle/10251/231818
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231818

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231259
Set de datos (Dataset). 2025

DESCRIPTION OF SCITUBE VIDEOS [DATASET]

  • Font-Julian, Cristina I.
  • Rodríguez-Rodríguez, Alejandro
  • Orduña-Malea, Enrique
[EN] This dataset includes the raw data collected from the SciTube channel on YouTube. It is composed of descriptive metadata for 411 videos and a content analysis of a sample of 50 videos., Grant PID2022-142569NA-I00 funded by MCIN/AEI/10.13039/501100011033 and, by “ERDF A way of making Europe”, by the “European Union”.

DOI: https://riunet.upv.es/handle/10251/231259
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231259
HANDLE: https://riunet.upv.es/handle/10251/231259
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231259
PMID: https://riunet.upv.es/handle/10251/231259
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231259
Ver en: https://riunet.upv.es/handle/10251/231259
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231259

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
Set de datos (Dataset). 2020

[SUPPLEMENTARY MATERIAL] MULTIDIMENSIONAL TAXONOMY OF UNIVERSITY RANKINGS

  • Orduña-Malea, Enrique
  • 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: https://riunet.upv.es/handle/10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
HANDLE: https://riunet.upv.es/handle/10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
PMID: https://riunet.upv.es/handle/10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
Ver en: https://riunet.upv.es/handle/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
Set de datos (Dataset). 2020

2019 SPANISH GENERAL ELECTIONS FACEBOOK ADS DATASET

  • Baviera, Tomás
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: https://riunet.upv.es/handle/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
HANDLE: https://riunet.upv.es/handle/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
PMID: https://riunet.upv.es/handle/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
Ver en: https://riunet.upv.es/handle/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/148730
Set de datos (Dataset). 2020

INPUT DATA OF A LINEAR PROGRAMMING MODEL FOR THE E-GROCERY ORDER PICKING AND DELIVERY PROBLEM

  • Vazquez-Noguerol, Mar
  • Comesaña Benavides, José Antonio
  • Prado Prado, Jose Carlos
  • Poler, R.
The dataset contains the input data that has been entered into the mathematical model to develop the case study. The data is provided by the company and the values have been structured according to the indices defined in the model. Input data details have been added to make the model replicable.

Proyecto: //
DOI: https://riunet.upv.es/handle/10251/148730
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/148730
HANDLE: https://riunet.upv.es/handle/10251/148730
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/148730
PMID: https://riunet.upv.es/handle/10251/148730
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/148730
Ver en: https://riunet.upv.es/handle/10251/148730
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/148730

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/207104
Set de datos (Dataset). 2022

THE OPTIMAL CONCENTRATION OF NANOCLAY HYDROTALCITE FOR RECOVERY OF REACTIVE AND DIRECT TEXTILE COLORANTS

  • López-Rodríguez, Daniel
  • Micó-Vicent, B.
  • Bonet-Aracil, Marilés
  • Cases, Francisco
  • Bou-Belda, Eva
Concerns about the health of the planet have grown dramatically, and the dyeing sector of the textile industry is one of the most polluting of all industries. Nanoclays can clean dyeing wastewater using their adsorption capacities. In this study, as a new finding, it was possible to analyze and quantify the amount of metal ions substituted by anionic dyes when adsorbed, and to determine the optimal amount of nanoclay to be used to adsorb all the dye. The tests demonstrated the specific amount of nanoclay that must be used and how to optimize the subsequent processes of separation and processing of the nanoclay. Hydrotalcite was used as the adsorbent material. Direct dyes were used in this research. X-ray diffraction (XRD) patterns allowed the shape recovery of the hydrotalcite to be checked and confirmed the adsorption of the dyes. An FTIR analysis was used to check the presence of characteristic groups of the dyes in the resulting hybrids. The thermo-gravimetric (TGA) tests corroborated the dye adsorption and the thermal fastness improvement. Total solar reflectance (TSR) showed increased radiation protection for UV-VIS-NIR. Through the work carried out, it has been possible to establish the maximum adsorption point of hydrotalcite.

Proyecto: //
DOI: https://riunet.upv.es/handle/10251/207104
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/207104
HANDLE: https://riunet.upv.es/handle/10251/207104
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/207104
PMID: https://riunet.upv.es/handle/10251/207104
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/207104
Ver en: https://riunet.upv.es/handle/10251/207104
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/207104

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/55150
Set de datos (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
  • Saiz Rodríguez, Francisco Javier
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: https://riunet.upv.es/handle/10251/55150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/55150
HANDLE: https://riunet.upv.es/handle/10251/55150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/55150
PMID: https://riunet.upv.es/handle/10251/55150
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/55150
Ver en: https://riunet.upv.es/handle/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:10251/200232
Set de datos (Dataset). 2023

CHARACTERIZATION OF WO3 NANOSTRUCTURES USED IN THE DEGRADATION OF METHYLPARABEN

  • Garcia-Anton, Jose
  • Cifre-Herrando, Mireia
  • García-García, D.M.
  • Roselló Márquez, Gemma
The data were use to study the degradation of Methylparaben using WO3 Nanostructures. WO3 nanostructures were synthesized with different complexing agents (0.05 M H2O2 and 0.1 M citric acid) and annealing conditions (400 _C, 500 _C and 600 _C) to obtain optimal WO3 nanostructures to use them as a photoanode in the photoelectrochemical (PEC) degradation of an endocrine disruptor chemical. X-ray photoelectron spectroscopy was performed to provide information of the electronic states of the nanostructures. The crystallinity of the samples was observed by a confocal Raman laser microscope and X-ray diffraction. Furthermore, photoelectrochemical measurements (photostability, photoelectrochemical impedance spectroscopy, Mott–Schottky and water-splitting test) were also performed using a solar simulator with AM 1.5 conditions at 100 mW_cm-2. Once the optimal nanostructure was obtained, the PEC degradation of methylparaben was carried out. It was followed by ultra-high-performance liquid chromatography and mass spectrometry, which allowed to obtain the concentration of the contaminant during degradation and the identification of degradation intermediates.

DOI: https://riunet.upv.es/handle/10251/200232
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200232
HANDLE: https://riunet.upv.es/handle/10251/200232
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200232
PMID: https://riunet.upv.es/handle/10251/200232
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200232
Ver en: https://riunet.upv.es/handle/10251/200232
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/200232

RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202149
Set de datos (Dataset). 2020

OVS-SCM MODULATION (RAW DATA)

  • Pérez Pascual, Mª Asunción
This dataset contains the raw data of the measurements presented in the paper: "A Computational Efficient Nyquist Shaping Approach for Short-Reach Optical Communications" (https://doi.org/10.1109/JLT.2019.2961506). - Medidas_BER_EVM.xls: contains BER and EVM measurements made for different types of modulations for both the HC-SCM modulator and the OVS-SCM, varying the following parameters: oversampling factor, transmitter filter span, rolloff factor, receiver filter span, receiver equalizer order, pre-emphasis filter (in transmission) - Medidas_Potencia.xls: contains BER and EVM values varying the received power for HC-SCM and OVS-SCM modulations; for all QAM modulations under study.

DOI: https://riunet.upv.es/handle/10251/202149
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202149
HANDLE: https://riunet.upv.es/handle/10251/202149
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202149
PMID: https://riunet.upv.es/handle/10251/202149
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202149
Ver en: https://riunet.upv.es/handle/10251/202149
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/202149

Advanced search