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Resultados totales (Incluyendo duplicados): 36900
Encontrada(s) 3690 página(s)
Docta Complutense
oai:docta.ucm.es:20.500.14352/95176
Set de datos (Dataset). 2017

BASE DE DATOS PROYECTO EDU2013-44801-P IMPACTO DE LA APLICACIÓN DE NORMAS ISO9001 EN CENTROS EDUCATIVOS Y FACTORES ASOCIADOS

DATABASE PROJECT EDU2013-44801-P IMPACT OF THE APPLICATION OF ISO9001 STANDARDS IN EDUCATIONAL CENTRES AND ASSOCIATED FACTORS

  • Fernández Díaz, María Josefa
  • Fernández Cruz, Francisco José
  • Fernández-Salinero Miguel, Carolina
  • Rodríguez Mantilla, Jesús Miguel
Es la base de datos que ha permitido realizar los artículos siguientes: - Fernández-Cruz, F.J.; Rodríguez-Mantilla, J.M. & Fernández-Díaz, M.J. (2020). Impact of the application of ISO 9001 standards on the climate and satisfaction of the members of a school, International Journal of Educational Management, Vol. 34 Iss: 7, pp. 1185-1202. https://doi.org/10.1108/IJEM-10-2018-0332 (ISSN: 0951-354X) - Rodríguez-Mantilla, J.M.; Martínez-Zarzuelo, A., & Fernández-Cruz, F.J. (2020). Do ISO:9001 Standards and EFQM Model differ in their impact on the External Relations and Communication System at schools?, Evaluation and Program Planning Vol. 80, DOI: https://doi.org/10.1016/j.evalprogplan.2020.101816 (ISSN: 0149-7189) - Fernández-Cruz, F.J.; Rodríguez-Mantilla, J.M. & Fernández-Díaz, MªJ. (2019). Assessing the impact of ISO:9001 implementation on school teaching and learning processes, Quality Assurance in Education, Vol. 27 Iss: 3, pp. 285 - 303 (ISSN: 0968-4883) DOI: https://doi.org/10.1108/QAE-09-2018-0103 - Rodríguez-Mantilla, J.M., Fernández-Cruz, F.J. &. Fernández-Díaz, MªJ. (2019). Comparative analysis between management team and teachers on the impact of ISO 9001 standards in educational centres, International Journal of Quality and Service Sciences, Vol. 11, Nº 2 (248-264) DOI: https://doi.org/10.1108/IJQSS-06-2018-0057 (ISSN 1756-669X) - Rodríguez-Mantilla, J.M., Fernández-Cruz, F.J. &. Fernández-Díaz, MªJ. (2018). Factors associated with the impact of implementing quality management systems at schools: a multilevel analysis, Total Quality Management & Business Excellence, Vol. 31, 1-17 DOI: http://dx.doi.org/10.1080/14783363.2018.1490642 (ISSN: 1478-3363)

DOI: https://hdl.handle.net/20.500.14352/95176
Docta Complutense
oai:docta.ucm.es:20.500.14352/95176
HANDLE: https://hdl.handle.net/20.500.14352/95176
Docta Complutense
oai:docta.ucm.es:20.500.14352/95176
PMID: https://hdl.handle.net/20.500.14352/95176
Docta Complutense
oai:docta.ucm.es:20.500.14352/95176
Ver en: https://hdl.handle.net/20.500.14352/95176
Docta Complutense
oai:docta.ucm.es:20.500.14352/95176

Docta Complutense
oai:docta.ucm.es:20.500.14352/114164
Set de datos (Dataset). 2024

DIDONE ARIAS DATABASE UNVEILING EMOTIONS IN 18TH-CENTURY OPERA SERIA

  • Llorens Martín, Ana
  • Anzani, Valentina
  • Aráez Santiago, Tatiana
  • Rubiales Zabarte, Gorka
  • Usula, Nicola
  • Torrente Sánchez-Guisande, Álvaro José
Leveraging an array of search criteria including composers, singers, theatres, geographical territories, sources, and more, scholars can delve into the nuances of performance practices and historical contexts around Metastasio’s drammi per musica. Furthermore, the DIDONE Arias Database offers a treasure trove of individual arias extracted from these performances, providing a unique opportunity to explore the interplay of musical elements such as key, scoring, time signature, vocal range, and other parameters. Beyond its scholarly utility, the DIDONE Database invites users to embark on a journey of exploration and discovery, offering a dynamic platform where the scores of these historic arias can be visualised and explored within the broader context of 18th-century operatic tradition.

Proyecto: //
DOI: https://hdl.handle.net/20.500.14352/114164
Docta Complutense
oai:docta.ucm.es:20.500.14352/114164
HANDLE: https://hdl.handle.net/20.500.14352/114164
Docta Complutense
oai:docta.ucm.es:20.500.14352/114164
PMID: https://hdl.handle.net/20.500.14352/114164
Docta Complutense
oai:docta.ucm.es:20.500.14352/114164
Ver en: https://hdl.handle.net/20.500.14352/114164
Docta Complutense
oai:docta.ucm.es:20.500.14352/114164

Docta Complutense
oai:docta.ucm.es:20.500.14352/137316
Set de datos (Dataset). 2026

INTELIGENCIA ARTIFICIAL Y SALUD MENTAL: ANÁLISIS DE SU TRATAMIENTO INFORMATIVO EN LOS MEDIOS ESPAÑOLES (1996-2025) - DATASET

  • Chaparro Domínguez, María De Los Ángeles
  • Moreno Gil, Victoria
  • Segado Boj, Francisco José

Proyecto: //
DOI: https://hdl.handle.net/20.500.14352/137316
Docta Complutense
oai:docta.ucm.es:20.500.14352/137316
HANDLE: https://hdl.handle.net/20.500.14352/137316
Docta Complutense
oai:docta.ucm.es:20.500.14352/137316
PMID: https://hdl.handle.net/20.500.14352/137316
Docta Complutense
oai:docta.ucm.es:20.500.14352/137316
Ver en: https://hdl.handle.net/20.500.14352/137316
Docta Complutense
oai:docta.ucm.es:20.500.14352/137316

Docta Complutense
oai:docta.ucm.es:20.500.14352/134034
Set de datos (Dataset). 2026

MEASURING THE IMPACT OF TOURISM: THE DEVELOPMENT OF A TOURIST CONGESTION RISK INDICATOR. STUDY DATASET

  • Hümpfner. Julia
  • Mínguez García, María del Carmen
Data from research carried out as part of the projects TED2021-131577B/AEI/10.13039/501100011033/ European Union NextGenerationEU/PRTR and ADAPTATUR Grant PID2020-114186RB-C22, funded by MCIN-AEI/ 10.13039/50110001103. These data will be presented in the publication entitled ‘Measuring the impact of tourism: Development of a tourist congestion risk indicator’, Urban Research & Practice, DOI: 10.1080/17535069.2026.2639383.

Proyecto: //
DOI: https://hdl.handle.net/20.500.14352/134034
Docta Complutense
oai:docta.ucm.es:20.500.14352/134034
HANDLE: https://hdl.handle.net/20.500.14352/134034
Docta Complutense
oai:docta.ucm.es:20.500.14352/134034
PMID: https://hdl.handle.net/20.500.14352/134034
Docta Complutense
oai:docta.ucm.es:20.500.14352/134034
Ver en: https://hdl.handle.net/20.500.14352/134034
Docta Complutense
oai:docta.ucm.es:20.500.14352/134034

Docta Complutense
oai:docta.ucm.es:20.500.14352/126122
Set de datos (Dataset). 2025

RESULTADO DE LA ENCUESTA DE CLIMA LABORAL 2025

  • Biblioteca Complutense
Se trata de una encuesta de clima laboral durante el año 2025 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/20.500.14352/126122
Docta Complutense
oai:docta.ucm.es:20.500.14352/126122
HANDLE: https://hdl.handle.net/20.500.14352/126122
Docta Complutense
oai:docta.ucm.es:20.500.14352/126122
PMID: https://hdl.handle.net/20.500.14352/126122
Docta Complutense
oai:docta.ucm.es:20.500.14352/126122
Ver en: https://hdl.handle.net/20.500.14352/126122
Docta Complutense
oai:docta.ucm.es:20.500.14352/126122

Docta Complutense
oai:docta.ucm.es:20.500.14352/102966
Set de datos (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
Set de datos (Dataset). 2024

SUPPLEMENTARY INFORMATION FOR CRYSTALLIZATION OF CALCIUM CARBONATE AND CALCIUM PHOSPHATE PHASES IN SILICA HYDROGEL: MORPHOLOGICAL AND COMPOSITIONAL CHARACTERIZATION

  • Sánchez Pastor, Nuria
  • Jorge Pinto, Andre Filipe
  • Del Buey Fernández, Pablo
  • Astilleros García-Monge, José Manuel

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

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79007
Set de datos (Dataset). 2025

SUPPLEMENTARY INFORMATION FOR "SYNTHESIS OF SPIROLACTONES FROM CARBONYLS VIA CARBOBORYLATION OF N-SULFONYLHYDRAZONES WITH ALKOXYCARBONYLALKYLBORONIC ACIDS"

  • López García, Lucía|||0000-0002-1407-2174
  • Filgueira Fernández, Sara|||0009-0009-6481-7750
  • Cabal Naves, Carmen María de la Paz|||0000-0002-8991-2385
  • Valdés Gómez, Alfonso Carlos|||0000-0002-6246-2994
Supplementary information for the article "Synthesis of spirolactones from carbonyls via carboborylation of N-sulfonylhydrazones with alkoxycarbonylalkylboronic acids". Advanced Synthesis and Catalysis, doi:10.1002/adsc.202500170. The data are contained in a word .docx file with the chemdraw and NMR data embebed. NMR data in mestrenova format can be retrieved from the file. A zip file containing all the NMR data is also provided., Financial support of this work by Ministerio de Ciencia e Innovación of Spain (Agencia Estatal de Investigación: grant MCINN-23-PID2022-140635NB-I00 financed by MCIN/AEI /10.13039/501100011033/FEDER, UE) and Agencia de Ciencia, Competitividad Empresarial e Innovación del Principado de Asturias (Sekuens): grant IDE/2024/000709.

Proyecto: //
DOI: https://hdl.handle.net/10651/79007, https://dx.doi.org/10.17811/ruo_datasets.79007
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79007
HANDLE: https://hdl.handle.net/10651/79007, https://dx.doi.org/10.17811/ruo_datasets.79007
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79007
PMID: https://hdl.handle.net/10651/79007, https://dx.doi.org/10.17811/ruo_datasets.79007
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79007
Ver en: https://hdl.handle.net/10651/79007, https://dx.doi.org/10.17811/ruo_datasets.79007
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/79007

RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70847
Set de datos (Dataset). 2022

DATA FROM "ANALYZING SYNTACTIC CONSTRUCTS OF JAVA PROGRAMS WITH MACHINE LEARNING"

  • Ortín Soler, Francisco|||0000-0003-1199-8649
  • Facundo Colunga, Guillermo|||0000-0003-1283-2763
  • García Rodríguez, Miguel|||0000-0002-3150-2826
Data from the article "F. Ortin, G. Facundo, M. Garcia. Analyzing syntactic constructs of Java programs with machine learning. Expert Systems with Applications (215), pp. 119398-119414, 2023. https://doi.org/10.1016/j.eswa.2022.119398", The massive number of open-source projects in public repositories has notably increased in the last years. Such repositories represent valuable information to be mined for different purposes, such as documenting recurrent syntactic constructs, analyzing the particular constructs used by experts and beginners, using them to teach programming and to detect bad programming practices, and building programming tools such as decompilers, Integrated Development Environments or Intelligent Tutoring Systems. An inherent problem of source code is that its syntactic information is represented with tree structures, while traditional machine learning algorithms use n-dimensional datasets. Therefore, we present a feature engineering process to translate tree structures into homogeneous and heterogeneous n-dimensional datasets to be mined. Then, we run different interpretable (supervised and unsupervised) machine learning algorithms to mine the syntactic information of more than 17 million syntactic constructs in Java code. The results reveal interesting information such as the Java constructs that are barely (and widely) used (e.g., bitwise operators, union types and static blocks), different language features and patterns mostly (and barely) used by beginners (and experts), the discovery of particular types of source code (e.g., helper or utility classes, data transfer objects and too complex abstractions), and how complexity is an inherent characteristic in some clusters of syntactic constructs., This work has been partially funded by the Spanish Department of Science, Innovation and Universities: project RTI2018-099235-B-I00. The authors have also received funds from the University of Oviedo, Spain through its support of official research groups (GR-2011-0040).

Proyecto: //
DOI: https://hdl.handle.net/10651/70847, https://dx.doi.org/10.17811/ruo_datasets.70847
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70847
HANDLE: https://hdl.handle.net/10651/70847, https://dx.doi.org/10.17811/ruo_datasets.70847
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70847
PMID: https://hdl.handle.net/10651/70847, https://dx.doi.org/10.17811/ruo_datasets.70847
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70847
Ver en: https://hdl.handle.net/10651/70847, https://dx.doi.org/10.17811/ruo_datasets.70847
RUO. Repositorio Institucional de la Universidad de Oviedo
oai:digibuo.uniovi.es:10651/70847

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

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