BUSCADOR RECOLECTA

Datos relativos a la publicación: Calvo González, Soraya & Trujillo Barbadillo, Gracia. (2024). Discursos contrarios a la educación sexual en España: argumentario mediático y agentes de referencia en Twitter (X). ICONO 14. Revista Científica De Comunicación Y Tecnologías Emergentes, 22(1): e2086. https://doi.org/10.7195/ri14.v22i1.2086

This work was supported by the Ministerio de Econom a e Industria under Grant (R&D projects PID2019-105726RB-I00)

When using this data please cite the original publication: Miñarro, M. & García, D. (2024). Landscape composition and orchard management effects on bat assemblages and bat foraging activity in apple crops. Ecosphere. When using this data please acknowledge the original research grants (and funding agencies): PID2020-120239RR-100 (MiCIn/AEI/10.13039/501100011033/ and FEDER), MRR/PA-24-BIODIVERSIDAD-BIO02 (MiCIn and Asturian Government, Next Generation EU)., Dataset that accompany the article Miñarro, M. & García, D. (2025). Landscape composition and orchard management effects on bat assemblages and bat foraging activity in apple crops. Ecosphere., PID2020-120239RR-100 (MiCIn/AEI/10.13039/501100011033/ and FEDER MRR/PA-24-BIODIVERSIDAD-BIO02 (MiCIn and Asturian Government, Next Generation EU).

Data from the article "F. Ortin, J. Quiroga, O. Rodriguez-Prieto, M. Garcia. An empirical evaluation of Lex/Yacc and ANTLR parser generation tools. PLOS ONE 17(3), pp. 1-16, 2022. https://doi.org/10.1371/journal.pone.0264326", Parsers are used in different software development scenarios such as compiler construction, data format processing, machine-level translation, and natural language processing. Due to the widespread usage of parsers, there exist different tools aimed at automizing their generation. Two of the most common parser generation tools are the classic Lex/Yacc and ANTLR. Even though ANTLR provides more advanced features, Lex/Yacc is still the preferred choice in many university courses. There exist different qualitative comparisons of the features provided by both approaches, but no study evaluates empirical features such as language implementor productivity and tool simplicity, intuitiveness, and maintainability. In this article, we present such an empirical study by conducting an experiment with undergraduate students of a Software Engineering degree. Two random groups of students implement the same language using a different parser generator, and we statistically compare their performance with different measures. Under the context of the academic study conducted, ANTLR has shown significant differences for most of the empirical features measured., 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 through its support of official research groups (GR-2011-0040).

Data of manuscript "1‑Methylnaphthalene Hydrogenation over Supported Precious Metal Catalysts: A Kinetic Study for Deciphering the Roles of the Metal and Support", Ind. Eng. Chem. Res. 2025, 64, 9640−9649 , https://doi.org/10.1021/acs.iecr.5c00989, Spanish Ministry of Science, Innovation and Universities

Experimental data associated with the ORP entitled: "Design of a new turbine for OWC wave energy converters: The DDT concept" https://doi.org/10.1016/j.renene.2020.12.125 authored by Manuel Garcia-Diaz and co-authored by Bruno Pereiras, Celia Miguel-Gonzalez, Laudino Rodriguez and Jesus Fernandez-Oro, all members of FERES research group of the University of Oviedo., At data collection date, Manuel Garcia-Diaz was supported by the “Ministerio de Educación, Cultura y Deporte” within the “Formación del Profesor Universitario” Program (grant number FPU15/04375).

The authors wish to thank the financial support of the Spanish Ministry of Economy, Industry and Competitiveness for the R + D Project entitled “Development and Construction of Vertical Axis Wind Turbines for Urban Environments” (DEVTURB) – Ref. ENE2017-89965-P, under the National Plan for Scientific and Technical Research and Innovation. The grant provided by the Principality of Asturias for the support of Research Activities, funded by the Institute for Economic Development (IDEPA) under reference GRUPIN IDI/2018/000205 is also gratefully acknowledged. Additionally, the support given by the University Institute for Industrial Technology of Asturias (IUTA) and the City Hall of Gijon, through the financed project SV-18-GIJON-1-05, is also recognized.

Data from the article "Fernandez-Lanvin, D., Gonzalez-Rodriguez, M., De-Andres, J. et al. Towards an automatic early screening system for autism spectrum disorder in toddlers based on eye-tracking. Multimed Tools Appl 83, 55319–55350 (2024). https://doi.org/10.1007/s11042-023-17694-8", This dataset includes the data gathered from the experiment described in the published paper. Data has been recorded using a Tobii Pro Spectrum with Tobii Lab Pro software. It containes the data used in the paper "Towards an automatic early screening system for autism spectrum disorder in toddlers based on eye-tracking" (https://doi.org/10.1007/S11042-023-17694-8), 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) and by the Fundación Trapote (Ayuntamiento de Gijón). Additional funding was provided by the University of Oviedo through its support for official research groups (PAPI-24-GR-REFLECTION).