Resultados totales (Incluyendo duplicados): 34661
Encontrada(s) 3467 página(s)
Encontrada(s) 3467 página(s)
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80003
Dataset. 2023
DATA FROM "OPTIMAL POSITION OF AIR PURIFIERS IN ELEVATOR CABINS FOR THE IMPROVEMENT OF THEIR VENTILATION EFFECTIVENESS"
- Santamaría Bertolín, Luis
- Fernández Oro, Jesús Manuel
- Argüelles Díaz, Katia
- Galdo Vega, Mónica
- Velarde Suárez, Sandra
Proyecto: //
DOI: https://hdl.handle.net/10651/80003, https://dx.doi.org/10.17811/ruo_datasets.80003
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80003
HANDLE: https://hdl.handle.net/10651/80003, https://dx.doi.org/10.17811/ruo_datasets.80003
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80003
PMID: https://hdl.handle.net/10651/80003, https://dx.doi.org/10.17811/ruo_datasets.80003
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80003
Ver en: https://hdl.handle.net/10651/80003, https://dx.doi.org/10.17811/ruo_datasets.80003
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80003
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/74584
Dataset. 2024
ALTITUDINAL VARIATION IN REPRODUCTIVE INVESTMENT AMONG GRYLLUS CAMPESTRIS POPULATIONS
- Martínez Viejo, David
- Rodríguez-Muñoz, Rolando
- Fernández-Ojanguren García-Comas, Alfredo|||0000-0001-6273-1122
Proyecto: //
DOI: https://hdl.handle.net/10651/74584, https://dx.doi.org/10.17811/ruo_datasets.74584
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/74584
HANDLE: https://hdl.handle.net/10651/74584, https://dx.doi.org/10.17811/ruo_datasets.74584
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/74584
PMID: https://hdl.handle.net/10651/74584, https://dx.doi.org/10.17811/ruo_datasets.74584
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/74584
Ver en: https://hdl.handle.net/10651/74584, https://dx.doi.org/10.17811/ruo_datasets.74584
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/74584
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/65292
Dataset. 2022
ANEXOS DEL ARTÍCULO. FORMACIÓN LABORAL DE LOS TRABAJADORES EN ESPAÑA. EVOLUCIÓN DURANTE EL PERÍODO DE CRISIS Y RECUPERACIÓN ECONÓMICA (2007-2016)
- García Espejo, María Isabel|||0000-0002-7944-3175
- Ibáñez Pascual, Marta|||0000-0001-5185-7467
Proyecto: //
DOI: http://hdl.handle.net/10651/65292, https://dx.doi.org/10.17811/ruo_datasets.65292
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/65292
HANDLE: http://hdl.handle.net/10651/65292, https://dx.doi.org/10.17811/ruo_datasets.65292
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/65292
PMID: http://hdl.handle.net/10651/65292, https://dx.doi.org/10.17811/ruo_datasets.65292
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/65292
Ver en: http://hdl.handle.net/10651/65292, https://dx.doi.org/10.17811/ruo_datasets.65292
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/65292
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79191
Dataset. 2025
V-BAND SCATTERED FIELD MEASUREMENTS IN 8 DIFFERENT PLANES WITH AN L-SHAPED MULTISTATIC CONFIGURATION
- Hoyo Vijande, Alejandro del|||0009-0003-2399-2428
- Álvarez López, Yuri
- Laviada Martínez, Jaime
- Las Heras Andrés, Fernando Luis
In addition to the files containing the scattered field measurements, a PDF file with the schematic of the measurement setup is included, as well as a sample code written in MATLAB. This code applies SAR processing based on the measurements from one of the planes and aims to demonstrate how to import one of the files and process the data to generate a reflectivity image of the region of interest., This dataset contains samples of the scattered field from a set of flat metallic objects. It includes several files corresponding to eight different measurement planes, where the distances between the plane containing the antennas and the plane containing the targets are 74.3913 cm, 66.4120 cm, 61.4173 cm, 56.4063 cm, 51.4131 cm, 46.3873 cm, 41.4244 cm, and 36.4289 cm. The measurement setup corresponds to a multistatic L-shaped configuration. Two open-ended waveguides were used as antennas, which were moved along the two sides of the L using two high-precision rails to transmit (Tx) and receive (Rx) signals from different positions in the acquisition array. For each Tx-Rx channel, a total of 201 equally spaced measurements of the S21 parameter were taken between 55 GHz and 60 GHz using a PNA-X device. In addition to the measurements with the metallic targets, the dataset includes two measurements with aluminum foil covering the support structure and two background measurements conducted using the same structure but without the targets. These background measurements in planes one and eight can be used to eliminate clutter caused by various environmental reflections.
Proyecto: //
DOI: https://hdl.handle.net/10651/79191, https://dx.doi.org/10.17811/ruo_datasets.79191
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79191
HANDLE: https://hdl.handle.net/10651/79191, https://dx.doi.org/10.17811/ruo_datasets.79191
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79191
PMID: https://hdl.handle.net/10651/79191, https://dx.doi.org/10.17811/ruo_datasets.79191
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79191
Ver en: https://hdl.handle.net/10651/79191, https://dx.doi.org/10.17811/ruo_datasets.79191
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79191
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80843
Dataset. 2025
DATA FOR "THICKNESS DEPENDENT RARE EARTH SEGREGATION IN MAGNETRON DEPOSITED NDCO
_{4.6}
- Díaz Fernández, Javier Ignacio
- Rodríguez Fernández, Jonathan
- Rubio Zuazo, Juan
Data contains readme file with an explanation to localize specific data.
Three sets of data:
Xray Photoemission data
Magnetic Hysteresis loops data
Xray Reflectivity data, The magnetic anisotropy of amorphous NdCo$_{4.6}$ compounds deposited by magnetron sputtering change with film thickness from in plane to out of plane anisotropy at thickness above 40 nm. Xray reflectivity measurements shows the progressive formation of an additional layer in between the 3 nm thick Si capping layer and the NdCo compound film. Hard Xray Photoemission spectroscoy (HAXPES) was used to analyze the composition and distribution of cobalt and neodymium at the top layers region of NdCo$_{4.6}$ films of thickness ranging from 5 nm to 65 nm using 7 keV, 10 keV and 13 keV incident photon energies, with inelastic electron mean free paths ranging from 7.2 nm to 12.3 nm in cobalt. The atomic cobalt concentration of the alloy deduced from HAXPES measurements at the Nd 3d and Co 2p excitations results to be below the nominal value, changing with thickness and incident photon energy. This proves a segregation of the rare earth at the surface of the NdCo$_{4.6}$ thin film which increases with thickness. The analysis of the background of the Co 2p and Nd 3d peaks was consistent with this conclusion. This demonstrates that neodymium incorporation in the cobalt lattice have a cost in energy which can be associated to strain due to the difference in volume between the two elements. The lowering of this strain energy will favor atomic anisotropic environments for neodymium that explains the perpendicular anisotropy and its thickness dependence of these NdCo compound films., European Synchrotron ESRF, the Spanish Ministerio de Ciencia, Innovacion y Universidades, and the Consejo Superior de Investigaciones Científicas for provision of synchrotron radiation at BM25 and for financial support through the projects PIE 2010-6-0E-013, 2021-60-E-030 and CEX2024-001445-S. J. D. and J. R-F. acknowledges Spanish Minister of Science and Innovation support under grants 104604RB/AEI/10.13039/501100011033 and PID2022-136784NB and by Agencia SEKUENS (Asturias) under grant UONANO IDE/2024/000678 with the support of FEDER funds
Proyecto: //
DOI: https://hdl.handle.net/10651/80843, https://dx.doi.org/10.17811/ruo_datasets.80843
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80843
HANDLE: https://hdl.handle.net/10651/80843, https://dx.doi.org/10.17811/ruo_datasets.80843
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80843
PMID: https://hdl.handle.net/10651/80843, https://dx.doi.org/10.17811/ruo_datasets.80843
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80843
Ver en: https://hdl.handle.net/10651/80843, https://dx.doi.org/10.17811/ruo_datasets.80843
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80843
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79210
Dataset. 2025
DATASET FOR HEURISTIC-BASED INCREMENTAL LOCAL DOMAIN MODEL GENERATION
HEURISTICS LDM DATASET
- Quintela Pumares, Manuel
- Fernández Lanvin, Daniel
- Fernández Álvarez, Alberto Manuel|||0000-0002-8548-5830
Dataset used in the evaluation of the paper "Heuristic-Based Incremental Local Domain Model Generation", currently under review in "Information and Software Technology".
Context: Current front-end frameworks and technologies enable rich clients to operate autonomously without frequent server requests. To achieve this autonomy, clients must maintain a Local Domain Model (LDM), often derived from the Global Domain Model (GDM) on the backend. Manually designing an LDM that is consistent with the GDM requires handling nuanced dependencies, an error-prone task where oversight is easy.
Objective: To address these challenges we aim to: (a) formally map dependencies between GDM and LDM; (b) analyze effort and errors when modelling without assistance; and (c) provide a semi-automated method leveraging these dependencies to significantly reduce both effort and errors.
Method: To achieve these objectives, we propose a heuristic-based, step-by-step guided method. This approach leverages pre-existing GDM information to incrementally uncover dependencies and automate LDM construction as designers identify local behavior of GDM elements. We assessed this method's impact through an empirical experiment where we aimed to identify common mistakes and quantify effort during LDM construction. Expert UML modelers completed an LDM creation task both manually and with our tool-supported method. We recorded errors and cognitive effort to establish a baseline and measure impact. User perceptions were gathered via a survey; an analytical usability study based on GOMS complemented findings.
Results: The proportion of users committing errors decreased by 77.8% with the tool, and the average error count per user was reduced by 97.3%. Time to complete the task decreased by 35.0% and interactive effort by 44.6%, consistent with GOMS predictions. Surveys showed majority positive responses across all items.
Conclusions: Our approach effectively streamlines Local Domain Model creation. By automatically detecting dependencies and guiding designers, the tool drastically reduces error rates, cuts completion time, and lowers interaction volume. Expert users rated the method positively, affirming that benefits of guided, incremental LDM construction outweigh adoption effort., This work has been funded by the Government of the Principality of Asturias, with support from the European Regional Development Fund (ERDF) under project IDE/2024/000751 (GRU-GIC-24-070). Additional funding was provided by the University of Oviedo through its support for official research groups (PAPI-24-GR-REFLECTION).
Proyecto: //
DOI: https://hdl.handle.net/10651/79210, https://dx.doi.org/10.17811/ruo_datasets.79210
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79210
HANDLE: https://hdl.handle.net/10651/79210, https://dx.doi.org/10.17811/ruo_datasets.79210
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79210
PMID: https://hdl.handle.net/10651/79210, https://dx.doi.org/10.17811/ruo_datasets.79210
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79210
Ver en: https://hdl.handle.net/10651/79210, https://dx.doi.org/10.17811/ruo_datasets.79210
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79210
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/66211
Dataset. 2022
CODE AND DATA OF THE ARTICLE IMPROVING IMPORTANCE ESTIMATION IN COVARIATE SHIFT FOR PROVIDING ACCURATE PREDICTION ERROR
- Fernández Díaz, Laura
- González Tomillo, Sara
- Montañés Roces, Elena|||0000-0003-0609-8945
- Quevedo Pérez, José Ramón|||0000-0001-7211-4312
This repository contains the code and data related to the article: Improving importance estimation in covariate shift for providing accurate prediction error.
https://doi.org/10.1016/j.eswa.2021.116376
Proyecto: //
DOI: http://hdl.handle.net/10651/66211, https://dx.doi.org/10.17811/ruo_datasets.66211
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/66211
HANDLE: http://hdl.handle.net/10651/66211, https://dx.doi.org/10.17811/ruo_datasets.66211
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/66211
PMID: http://hdl.handle.net/10651/66211, https://dx.doi.org/10.17811/ruo_datasets.66211
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/66211
Ver en: http://hdl.handle.net/10651/66211, https://dx.doi.org/10.17811/ruo_datasets.66211
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/66211
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73747
Dataset. 2024
DATASET: ARE THERE GENDER DIFFERENCES BETWEEN SKILLS AND JOB PERFORMANCE IN PUBLIC MANAGEMENT POSITIONS?
- Castaño Pérez, Ana María|||0000-0003-1659-7625
- Zuazua Vega, Mónica|||0000-0002-4822-6952
- Stone, Dianna L.
- García Izquierdo, Antonio León|||0000-0002-2515-3439
Este trabajo ha sido financiado por el Ministerio de Economía y Competitividad y los Fondos Sociales Europeos (ref. PSI-2013-44854R), la Cátedra Asturias Prevención (ref. CATI-04-2018), las Ayudas para grupos de investigación de organismos del Principado de Asturias 2021-2023 -Fundación para la investigación científica y técnica FICYT- (ref. -SV-PA-21-AYUD/2021/50897), y la Agencia Estatal de Investigación -Mº. ECON. IND, MCIN/AEI/10.13039/501100011033- (ref. MCINN-22-TED2021-129283B-I00 -Digital citizenship: administrative implications-).
Proyecto: //
DOI: https://hdl.handle.net/10651/73747, https://dx.doi.org/10.17811/ruo_datasets.73747
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73747
HANDLE: https://hdl.handle.net/10651/73747, https://dx.doi.org/10.17811/ruo_datasets.73747
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73747
PMID: https://hdl.handle.net/10651/73747, https://dx.doi.org/10.17811/ruo_datasets.73747
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73747
Ver en: https://hdl.handle.net/10651/73747, https://dx.doi.org/10.17811/ruo_datasets.73747
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/73747
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79016
Dataset. 2022
DATA DOCUMENTATION FOR: PHOTOCHEMICAL HALOGEN-BONDING ASSISTED GENERATION OF VINYL AND SULFUR-CENTERED RADICALS: STEREOSELECTIVE CATALYST-FREE C(SP2)–S BOND FORMING REACTIONS
- Fernández Piedra, Helena
- Plaza Martinez, Manuel
La combinación de la fotoquímica con las interacciones de enlace halógeno ha emergido en los últimos años como una herramienta sintética poderosa para la generación de intermedios radicalarios bajo condiciones suaves. En la formación de radicales centrados en carbono, esta reactividad se ha limitado hasta ahora al uso de haluros arílicos y alquílicos como precursores. Ahora planteamos que la formación iniciada por enlace halógeno de radicales vinílicos altamente reactivos sería un proceso viable para el acoplamiento cruzado fotoquímico entre tioles y haluros alquenilos en condiciones básicas. De hecho, la reacción muestra una tolerancia muy amplia a grupos funcionales, es estereoselectiva, sencilla y escalable. Estudios mecanísticos detallados indican la formación de radicales vinílicos y centrados en azufre como los intermedios de la reacción, y cálculos DFT respaldan la preformación de un complejo de enlace halógeno como el iniciador de la transformación fotoquímica. Se desarrollaron aplicaciones sintéticas para ampliar la utilidad de esta metodología., Se agradece sinceramente el apoyo financiero a este trabajo mediante una beca postdoctoral “Margarita Salas Joven” de FICYT (Principado de Asturias) concedida a M. P. (AYUD/2021/58397).
Proyecto: //
DOI: https://hdl.handle.net/10651/79016, https://dx.doi.org/10.17811/ruo_datasets.79016
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79016
HANDLE: https://hdl.handle.net/10651/79016, https://dx.doi.org/10.17811/ruo_datasets.79016
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79016
PMID: https://hdl.handle.net/10651/79016, https://dx.doi.org/10.17811/ruo_datasets.79016
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79016
Ver en: https://hdl.handle.net/10651/79016, https://dx.doi.org/10.17811/ruo_datasets.79016
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79016
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80053
Dataset. 2019
DATA FROM "EFFICIENCY ANALYSIS OF UNDERGROUND PUMPED STORAGE HYDROPOWER PLANTS"
- Menéndez, Javier
- Fernández Oro, Jesús Manuel
- Galdo Vega, Mónica
- Loredo Pérez, Jorge Luis|||0000-0001-5381-7100
Proyecto: //
DOI: https://hdl.handle.net/10651/80053, https://dx.doi.org/10.17811/ruo_datasets.80053
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80053
HANDLE: https://hdl.handle.net/10651/80053, https://dx.doi.org/10.17811/ruo_datasets.80053
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80053
PMID: https://hdl.handle.net/10651/80053, https://dx.doi.org/10.17811/ruo_datasets.80053
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80053
Ver en: https://hdl.handle.net/10651/80053, https://dx.doi.org/10.17811/ruo_datasets.80053
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/80053
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