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Resultados totales (Incluyendo duplicados): 174
Encontrada(s) 18 página(s)
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70492
Set de datos (Dataset). 2023

DATA FROM RESEARCH PAPER: ELECTRICAL COMPATIBILITY OF TRANSMISSION FLUIDS IN ELECTRIC VEHICLES

  • Rodríguez Ordóñez, Eduardo|||0000-0001-9358-5738
  • Rivera, Noelia
  • Fernández González, Alfonso|||0000-0001-6240-2222
  • Pérez, Tomás
  • González, Rubén
  • Hernández Battez, Antolín Esteban|||0000-0003-0828-4995
This dataset contains the electrical conductivity, viscosity and Fourier Transform Infrared spectroscopy values of the three lubricant samples used in fresh (A0, B0 and C0) and aged (A1-A8, B1-B8 and C1-C8) conditions., The authors acknowledge the Ministry of Science, Innovation and Universities (Spain) for supporting the projects under this work was made (grant numbers: PID2019–109367RB-I00 and RTI2018–099756- B-I00).

Proyecto: //
DOI: https://hdl.handle.net/10651/70492, https://dx.doi.org/10.17811/ruo_datasets.70492
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70492
HANDLE: https://hdl.handle.net/10651/70492, https://dx.doi.org/10.17811/ruo_datasets.70492
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70492
PMID: https://hdl.handle.net/10651/70492, https://dx.doi.org/10.17811/ruo_datasets.70492
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70492
Ver en: https://hdl.handle.net/10651/70492, https://dx.doi.org/10.17811/ruo_datasets.70492
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70492

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72763
Set de datos (Dataset). 2024

DATOS ASOCIADOS AL ARTÍCULO "LA SEGREGACIÓN OCUPACIONAL POR SEXO. EVOLUCIÓN Y SITUACIÓN EN 2022"

  • Ibáñez Pascual, Marta|||0000-0001-5185-7467
  • Tejero Pérez, Aroa|||0000-0002-8583-4156
Se actualiza el panorama de la segregación ocupacional en España para el año 2022 y se examina su evolución y factores determinantes a lo largo del último siglo. Para ello, se emplean los índices más utilizados en la literatura: el Índice de Gini (y las curvas de Lorenz), el Índice de Desigualdad y el Índice de Desigualdad Descompuesto (que neutraliza el efecto de la estructura), utilizando datos censales para asegurar un alto nivel de desagregación. Los factores que influyen en la segregación se evalúan mediante regresiones multinomiales y se contrastan a través de efectos marginales (EPA, 2011 y 2021). Los resultados muestran que la segregación no experimenta una disminución significativa, dado que aumenta el peso de las ocupaciones con mayor grado de segregación mientras que disminuye en las ocupaciones que ya presentaban un proceso de integración. Asimismo, se verifica una relación inversa entre ingresos y nivel educativo en las ocupaciones predominantemente masculinas y femeninas

Proyecto: //
DOI: https://hdl.handle.net/10651/72763, https://dx.doi.org/10.17811/ruo_datasets.72763
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72763
HANDLE: https://hdl.handle.net/10651/72763, https://dx.doi.org/10.17811/ruo_datasets.72763
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72763
PMID: https://hdl.handle.net/10651/72763, https://dx.doi.org/10.17811/ruo_datasets.72763
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72763
Ver en: https://hdl.handle.net/10651/72763, https://dx.doi.org/10.17811/ruo_datasets.72763
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/72763

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70836
Set de datos (Dataset). 2022

DATA FROM "THE STADYN PROGRAMMING LANGUAGE"

  • Ortín Soler, Francisco|||0000-0003-1199-8649
  • García Rodríguez, Miguel|||0000-0002-3150-2826
  • García Pérez-Schofield, José Baltasar
  • Quiroga Álvarez, José|||0000-0002-1646-4796
Data from the article "F. Ortin, M. Garcia, B. Garcia Perez-Schofield, J. Quiroga. The StaDyn Programming Language. SoftwareX (20), pp. 101211-101222, 2022. https://doi.org/10.1016/j.softx.2022.101211", Hybrid static and dynamic typing languages are aimed at combining the benefits of both kinds of languages: the early type error detection and compile-time optimizations of static typing, together with the runtime adaptability of dynamically typed languages. The StaDyn programming language is a hybrid typing language, whose main contribution is the utilization of the type information gathered by the compiler to improve compile-time error detection and runtime performance. StaDyn has been evaluated as the hybrid typing language for the .Net platform with the highest runtime performance and the lowest memory consumption. Although most optimizations are performed statically by the compiler, compilation time is yet lower than the existing hybrid languages implemented on the .Net platform., The StaDyn programming language was partially funded by Microsoft Research, United States with the project entitled Extending Dynamic Features of the SSCLI, awarded in the Phoenix and SSCLI, Compilation and Managed Execution Request for Proposals. It was also funded by the Spanish Department of Science, Innovation, and Universities (project RTI2018-099235-B-I00) and the University of Oviedo, Spain (GR-2011-0040).

Proyecto: //
DOI: https://hdl.handle.net/10651/70836, https://dx.doi.org/10.17811/ruo_datasets.70836
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70836
HANDLE: https://hdl.handle.net/10651/70836, https://dx.doi.org/10.17811/ruo_datasets.70836
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70836
PMID: https://hdl.handle.net/10651/70836, https://dx.doi.org/10.17811/ruo_datasets.70836
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70836
Ver en: https://hdl.handle.net/10651/70836, https://dx.doi.org/10.17811/ruo_datasets.70836
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70836

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76185
Set de datos (Dataset). 2025

PATCH ANTENNAS CHARACTERIZATION FOR ENHANCED MICROWAVE IMAGING

  • Álvarez López, Yuri|||0000-0003-3625-4515
  • Flórez Berdasco, Alicia
  • De Cos Gómez, Mª Elena
  • Laviada Martínez, Jaime
  • Las-Heras Andrés, Fernando
This dataset corresponds to the measurements of two microstrip patch antennas, collected using the facility described in [1]. The available measurements contained within the dataset allow a complete characterization of the field radiated by these antennas. These fields can be introduced in enhanced microwave imaging algorithms that consider the field radiated by the transmitting and receiving antennas of the microwave imaging system [2] (modified Delay and Sum algorithm), [3] (modified Phase Shift Migration imaging algorithm). The patch antennas that are characterized are the ones presented in [4]. The files "Emeas_leftPatch_z30cm.zip" and "Emeas_rightPatch_z30cm.zip", correspond to the copolar component (Ex component) of the electric field radiated by the patch antennas (left and right as depicted in the figure “PictureDataset.png”). More precisely, it corresponds to the S21 parameter, which is proportional to the electric field radiated by the patch antenna. Measurements were conducted within the frequency range from 22 GHz to 28 GHz, with a frequency step of 15 MHz. Measurements were collected on a domain of size Lx × Ly = 70 cm × 70 cm, discretized every δx,y = 5 mm (0.42 wavelengths at the center frequency of 25 GHz). The distance between the patch antenna (antenna under test) and the measurement plane was 30 cm. An Open-Ended Waveguide was used as probe antenna. The measured electric field was backpropagated from the measurement plane to the patch antenna aperture plane using the backpropagation algorithm described in [5]. The electric fields on the aperture plane are provided in the files “Eap_leftPatch.zip” and “Eap_rightPatch.zip” for the left and right patch antennas, respectively. The aperture fields were calculated on a planar domain having the same size as the measurement plane, that is, Lx × Ly = 70 cm × 70 cm, and also discretized every δx,y = 5 mm. [1] A. Arboleya, Y. Alvarez, and F. Las-Heras, “Millimeter and submillimeter planar measurement setup,” in 2013 IEEE Antennas and Propagation Society International Symposium (APSURSI), 2013, pp. 1–2. [2] Y. Alvarez Lopez and F. Las-Heras, “On the use of an equivalent currents-based technique to improve electromagnetic imaging,” IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 8004113, 2022. [3] Y. Alvarez López and F. Las-Heras Andrés, "Improved Methods for Fourier-based Microwave Imaging," Sensors, Vol. 23, pp. 9250, 2023. [4] A. F. Berdasco, J. Laviada, M. E. de Cos Gómez and F. Las-Heras, “Performance Evaluation of Millimeter-Wave Wearable Antennas for Electronic Travel Aid,” in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-10, 2023, Art no. 4507510, doi: 10.1109/TIM.2023.3320736. [5] J. Hanfling, G. Borgiotti, and L. Kaplan, “The backward transform of the near field for reconstruction of aperture fields,” in 1979 Antennas and Prop. Society Intl. Symposium, vol. 17, 1979, pp. 764–767., Ministerio de Ciencia e Innovación of Spain, Agencia Estatal de Investigación of Spain, and Fondo Europeo de Desarrollo Regional (FEDER). Grant Number: PID2021-122697OB-I00 (“META-IMAGER”)

Proyecto: //
DOI: https://hdl.handle.net/10651/76185, https://dx.doi.org/10.17811/ruo_datasets.76185
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76185
HANDLE: https://hdl.handle.net/10651/76185, https://dx.doi.org/10.17811/ruo_datasets.76185
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76185
PMID: https://hdl.handle.net/10651/76185, https://dx.doi.org/10.17811/ruo_datasets.76185
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76185
Ver en: https://hdl.handle.net/10651/76185, https://dx.doi.org/10.17811/ruo_datasets.76185
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/76185

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73040
Set de datos (Dataset). 2024

DATA DOCUMENTATION FOR ELECTROCHEMCAP: AN INTEGRATED DETECTION OF LOOP-MEDIATED ISOTHERMAL AMPLIFICATION REACTIONS

  • Rioboó Legaspi, Pablo
  • Costa Rama, Estefanía|||0000-0002-5357-9269
  • Fernández Abedul, María Teresa|||0000-0003-3782-5025
This work was supported by the I+D+I projects PID2020-118376RA-I00 (funded by MCIN/AEI/10.13039/501100011033) and AYUD/2021/51289 (from the PCTI Program of the Government of the Principality of Asturias and the FEDER Program of the EU). P.R.L. was supported by the Asturian Council for Science, Technology, and Innovation Severo Ochoa grant (BP21-029) and E.C.R. by the Spanish Ministry of Universities Beatriz Galindo grant (BG20-00027).

Proyecto: //
DOI: https://hdl.handle.net/10651/73040, https://dx.doi.org/10.17811/ruo_datasets.73040
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73040
HANDLE: https://hdl.handle.net/10651/73040, https://dx.doi.org/10.17811/ruo_datasets.73040
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73040
PMID: https://hdl.handle.net/10651/73040, https://dx.doi.org/10.17811/ruo_datasets.73040
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73040
Ver en: https://hdl.handle.net/10651/73040, https://dx.doi.org/10.17811/ruo_datasets.73040
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73040

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80598
Set de datos (Dataset). 2025

DATA DOCUMENTATION FOR: STANDARDIZED MEAN DIFFERENCE EFFECT SIZES FOR INTERVAL-VALUED DATA. A DISTANCE-BASED APPROACH.

  • Lubiano Gómez, María Asunción|||0000-0002-9847-5164
  • García García, José|||0000-0003-0991-1866
  • García Izquierdo, Antonio León
  • Castaño Pérez, Ana María|||0000-0003-1659-7625
R code and datasets associated with the original research article “Standardized mean difference effect sizes for interval-valued data. A distance-based approach. Journal of Mathematical Psychology. https://doi.org/10.1016/j.jmp.2025.102954” authored by Lubiano, M.A., García-García, J., García-Izquierdo, A.L., and Castaño, A.M., The research included in this paper has been partially supported by the Spanish State Research Agency Grants MINECO-PID2019-104486GB-I00 (García-García and Lubiano) and MCINN-22-TED2021-129283B-I00 (Castaño and García-Izquierdo), as well as the Principality of Asturias Grant SV-PA-21-AYUD/2021/50897 (García-García, García-Izquierdo and Lubiano), the Severo Ochoa-Principality of Asturias Grant PA-23-BP22-173 (García-García), and the Cátedra Asturias Prevención ref. CATI-04-2018 (Castaño and García-Izquierdo).

Proyecto: //
DOI: https://hdl.handle.net/10651/80598, https://dx.doi.org/10.17811/ruo_datasets.80598
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80598
HANDLE: https://hdl.handle.net/10651/80598, https://dx.doi.org/10.17811/ruo_datasets.80598
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80598
PMID: https://hdl.handle.net/10651/80598, https://dx.doi.org/10.17811/ruo_datasets.80598
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80598
Ver en: https://hdl.handle.net/10651/80598, https://dx.doi.org/10.17811/ruo_datasets.80598
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80598

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/71348
Set de datos (Dataset). 2024

DATASET ASSOCIATED TO THE ARTICLE: ELECTROCATALYTIC PALLADIUM NANOCLUSTERS AS VERSATILE INDICATORS OF BIOASSAYS: RAPID ELECTROANALYTICAL DETECTION OF SARS-COV-2 BY REVERSE TRANSCRIPTION LOOP-MEDIATED ISOTHERMAL AMPLIFICATION

  • Rodríguez Penedo, Alejandro|||0000-0002-0061-792X
  • Rioboó Legaspi, Pablo|||0000-0001-6222-3937
  • González López, Andrea|||0000-0001-7322-1638
  • Lores Padín, Ana|||0000-0002-5564-591X
  • Pereiro García, María Rosario|||0000-0002-5936-7726
  • García Suárez, María del Mar|||0000-0002-5920-3393
  • Cima Cabal, María Dolores
  • Costa Rama, Estefanía|||0000-0002-5357-9269
  • Fernández García, Beatriz|||0000-0002-2592-1442
  • Fernández Abedul, María Teresa|||0000-0003-3782-5025

Proyecto: //
DOI: https://hdl.handle.net/10651/71348, https://dx.doi.org/10.17811/ruo_datasets.71348
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/71348
HANDLE: https://hdl.handle.net/10651/71348, https://dx.doi.org/10.17811/ruo_datasets.71348
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/71348
PMID: https://hdl.handle.net/10651/71348, https://dx.doi.org/10.17811/ruo_datasets.71348
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/71348
Ver en: https://hdl.handle.net/10651/71348, https://dx.doi.org/10.17811/ruo_datasets.71348
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/71348

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80817
Set de datos (Dataset). 2025

DATASET & CODE FOR : "A MACHINE LEARNING APPROACH FOR ESTIMATING FORAGE MAIZE YIELD AND QUALITY IN NW SPAIN"

  • García Cortés, Silverio
  • Menéndez Díaz, Agustín
  • Bande Castro, María José
  • Carballal Samalea, Alfonso
  • Martínez Fernández, Adela
  • Oliveira Prendes, José Alberto
The data file contains 1449 data for forage maize production covering 23 years from 2000 to 2022 and corresponds to 7 locations in NW of Spain (Grado, Barcia and Villaviciosa) in Asturias and (Ordes, Ribadeo, Sarria and Deza) in Galicia region., Dataset & code for : "A machine learning approach for estimating forage maize yield and quality in NW Spain"

Proyecto: //
DOI: https://hdl.handle.net/10651/80817, https://dx.doi.org/10.17811/ruo_datasets.80817, https://dx.doi.org/10.5281/zenodo.15470089
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80817
HANDLE: https://hdl.handle.net/10651/80817, https://dx.doi.org/10.17811/ruo_datasets.80817, https://dx.doi.org/10.5281/zenodo.15470089
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80817
PMID: https://hdl.handle.net/10651/80817, https://dx.doi.org/10.17811/ruo_datasets.80817, https://dx.doi.org/10.5281/zenodo.15470089
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80817
Ver en: https://hdl.handle.net/10651/80817, https://dx.doi.org/10.17811/ruo_datasets.80817, https://dx.doi.org/10.5281/zenodo.15470089
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80817

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/81092
Set de datos (Dataset). 2020

DATA FROM "EXPERIMENTAL STUDY OF THE UNSTEADY VIBRATION SIGNATURE FOR A SIROCCO FAN UNIT"

  • González Pérez, José|||0000-0002-5195-3229
  • Delgado, Laura
  • Velarde Suárez, Sandra|||0000-0002-4967-4642
  • Fernández Oro, Jesús Manuel|||0000-0002-4270-7552
  • Argüelles Díaz, Katia María|||0000-0003-1641-637X
  • Rodríguez, David
  • Méndez, David
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: The financial support from the “Ministerio de Ciencia e Innovaci on” (under Projects numbers TRA2007-62708, DPI2011-25419, ENE2017-89965-P and “Tecnolog ıas ecol ogicas para el transporte Urbano, ecoTRANS” (CDTI) is also gratefully acknowledged. The financial support of the Instituto Universitario de Tecnolog ıa Industrial (IUTA), through projects SV-17-GIJON-1-07 and SV-18-GIJON-1-04 has also helped in the final stages of the present study.

Proyecto: //
DOI: https://hdl.handle.net/10651/81092, https://dx.doi.org/10.17811/ruo_datasets.81092
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/81092
HANDLE: https://hdl.handle.net/10651/81092, https://dx.doi.org/10.17811/ruo_datasets.81092
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/81092
PMID: https://hdl.handle.net/10651/81092, https://dx.doi.org/10.17811/ruo_datasets.81092
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/81092
Ver en: https://hdl.handle.net/10651/81092, https://dx.doi.org/10.17811/ruo_datasets.81092
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/81092

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73095
Set de datos (Dataset). 2024

CFD DATA OF AN OWC TURBINE OPTIMIZATION

  • Vega Valladares, Aitor|||0000-0002-3516-7252
  • García Díaz, Manuel
  • Pereiras García, Bruno|||0000-0002-1820-1711
As detailed in the "ReadMe.txt" file of the dataset, the name of the text files which contain the CFD data has been encoded to facilitate post-processing of the data by any user., Numerical data associated with the original research paper entitled: "Multi-Objective Response Surface Optimization of a centrifugal turbine for application in Oscillating Water Column devices equipped with a Twin Turbine Configuration" authored by Aitor Vega-Valladares and co-authored by Manuel Garcia-Diaz and Bruno Pereiras, all members of FERES research group of the University of Oviedo. In this paper, a novel methodology, specifically created to optimize Oscillating Water Column (OWC) devices equipped with Twin Turbine Configuration (TTC) systems, is presented. With the information contained in this dataset, the optimization could be carried out in another working environment or following another methodology., At data collection date, Aitor Vega-Valladares was supported by the “Administración del Principado de Asturias” within the “Severo Ochoa” Program (grant number BP21-160).

Proyecto: //
DOI: https://hdl.handle.net/10651/73095, https://dx.doi.org/10.17811/ruo_datasets.73095
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73095
HANDLE: https://hdl.handle.net/10651/73095, https://dx.doi.org/10.17811/ruo_datasets.73095
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73095
PMID: https://hdl.handle.net/10651/73095, https://dx.doi.org/10.17811/ruo_datasets.73095
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73095
Ver en: https://hdl.handle.net/10651/73095, https://dx.doi.org/10.17811/ruo_datasets.73095
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73095

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