Resultados de investigación

The dataset is made up of three different filtration experiences on wastewater producer on a single slaghterhouse.

The dataset contains all raw data of the work "Smart sensory polymer for straightforward Zn(II) detection in pet food samples", Authors gratefully acknowledge the financial support provided by the Spanish Agencia Estatal de Investigación (State Research Agency) (grant PID2020-113264RB-I00/AEI/10.13039/501100011033).

The dataset contains all raw data of the work "Straightforward purification method for the determination of the activity of glucose oxidase and catalase in honey by extracting polyphenols with a film-shaped polymer", We gratefully acknowledge the financial support provided by all funders. Author Saul Vallejos received funding from "La Caixa" Foundation Grant LCF/PR/PR18/51130007. Author Jose Miguel García received funding from “Spanish Agencia Estatal de Investigación " Grant PID2020-113264RB-I00 / AEI / 10.13039/501100011033. Ana Arnaiz received funding from Ministerio de Universidades-European Union in the frame of NextGenerationEU RD 289/2021 (Universidad Politécnica de Madrid). We also gratefully acknowledge European Regional Development Fund (ERDF). Gianluca Utzeri thanks Fundação para a Ciência e a Tecnologia (FCT, Portugal) for PhD grant (SFR/BD/146358/2019). The Coimbra Chemistry Centre is supported by the FCT, through Projects UIDB/00313/2020 and UIDP/00313/2020.

The dataset contains all raw data of the work "SARS-CoV-2 easy and visual detection with a fluorogenic sensory polymer", The project leading to these results has received funding from "La Caixa" Foundation, under agreement LCF/PR/PR18/51130007. We also gratefully acknowledge the financial support provided by FEDER (Fondo Europeo de Desarrollo Regional) through the Spanish State Research Agency (PID2020-113264RB-I00/AEI/10.13039/501100011033). Finally, all the authors want to thank the support provided by “Ayuntamiento de Villadiego” when looking for participants for the proof of concept.

Dataset of 10-minute global horizontal irradiance and global horizontal ultraviolet irradiance values measured at the radiometric station of the SWIFT Research Group, Burgos (Spain).

The present dataset contains two complementary databases to analyse the scientific impact of the Camino de Santiago in the academic literature. On the one hand, we have included a database extracted from Scopus with indexed manuscripts directly related to the Camino de Santiago. On the other hand, we also present a database of international doctoral theses also directly related to the Camino de Santiago. The dataset includes not only the final processed database but also the raw file from the Scopus search. A process of harmonisation of keywords, keywords+ and institutions has been performed on the original query. The files used to achieve the harmonisation are also included in the dataset., The authors are grateful for the support and funding from the Ministry of Science and Innovation through its networks of excellence HAR2017-90883-REDC and RED2018-102518-T) and the project PID2020118906GB-I00, and from the Junta de Castilla y León - Consejería de Educación (BDNS 425389). Also, this work has been partially funded by the European Social Fund, through the grant of Silvia Díaz de la Fuente's predoctoral contract through the Consejería de Educación de la Junta de Castilla y León., v.2

The dataset contains all interpolation data of the work "Humidity Forecasting in a Potato Plantation using Time-Series Neural Models", This work was financed by a grant agreement between Lab-Ferrer (METER Group) and the UBUCOMP research group at the University of Burgos. Authors are grateful to the farmer Mr. José María Izquierdo for providing the experimental field and the monitoring of irrigation.

Given an undirected graph, a clique is a subset of vertices in which the induced subgraph is complete; that is, all pairs of vertices of this subset are adjacent. Clique problems in graphs are very important due to their numerous applications. One of these problems is the clique partitioning problem (CPP), which consists of dividing the set of vertices of a graph into the smallest number of cliques possible. The CPP is an NP-hard problem with many application fields (timetabling, manufacturing, scheduling, telecommunications, etc.). Despite its great applicability, few recent studies have focused on proposing specific resolution methods for the CPP. This article presents a resolution method that combines multistart strategies with tabu search. The most novel characteristic of our method is that it allows unfeasible solutions to be visited, which facilitates exploration of the solution space. The computational tests show that our method performs better than previous methods proposed for this problem. In fact, our method strictly improves the results of these methods in most of the instances considered while requiring less computation time., This work was partially supported by FEDER funds and the Spanish State Research Agency (Projects PID2019-104263RB-C44 and PDC2021–121021-C22); the Regional Government of “Castilla y León”, Spain (Project BU071G19); the Regional Government of “Castilla y León”; and FEDER funds (Project BU056P20).

El conjunto de datos incluye una tabla excel en la que se incluyen las series de ficción televisiva producidas en España durante los años 2015, 2016, 2017, 2018, 2019, 2020, 2021. Se incluye una hoja extra, en la que se agrupan las series con una duración extraordinaria. Se incluye otra hoja extra en la que se agrupan todas las series estudiadas durante este período atendiendo a su género y subgénero. Se ha creado una hoja para cada uno de estos años. En cada hoja se incluyen las siguientes variables: título, género, subgénero, temática, tv/plataforma de emisión, número de capítulos emitidos ese año, productora, otras informaciones., Este artículo es una Investigación financiada por el Ministerio de Economía y Competitividad a través del ProyectoCSO2015-66260-C4-1; Ministerio de Ciencia, Innovación y Universidades PID2020-114193RB-100 y PID2020-114584GB-I00 y por la Universidad de Burgos a través del grupo de investigación reconocido CAYPAT.

El conjunto de datos incluye las transcripciones de tres grupos de investigación realizadas por las autoras para el desarrollo del artículo “Espacio doméstico y televisión en España: usos y memoria cotidiana de la televisión de los noventa”. El trabajo investiga los imaginarios en torno a televisión de los años noventa, momento en el que irrumpieron los operadores privados y se multiplicó la oferta en España. Se recupera el período utilizando el punto de vista del espectador. Los informantes de esta investigación fueron hombres y mujeres que veían habitualmente la televisión durante los años noventa en España. La selección de los participantes se realizó tal y como se detalla en el apartado de metodología., Investigación financiada por el Ministerio de Economía y Competitividad a través del ProyectoCSO2015-66260-C4-1; Ministerio de Ciencia, Innovación y Universidades PID2020-114193RB-100 y PID2020-114584GB-I00 y por la Universidad de Burgos a través del grupo de investigación reconocido CAYPAT.