Resultados de investigación

Datos gráficos incluidos: 1. plano CB 1, archivo en formato pdf con el alzado del ingreso del castillo; 2. plano CB 2, archivo en formato pdf con la planta y seccion longitudinal del castillo; 3. 3D-Bayren Castle, archivo comprimido con modelo 3D ligero en formato obj

This dataset contains georeferenced agricultural citrus parcels with information on crop status (non-productive, productive or abandoned) for the years 2019, 2020 and 2021 in GeoJSON format. The dataset is divided into 7 subsets (OLV_19, LSF_20, LSF_21, PV_21, TV_21, BP_21, and NL_21) in different locations of the Comunitat Valenciana (Spain). However, most of the data are located in the region of La Safor. Each of these subsets has its own characteristics in terms of sampling/classification method, date of acquisition and number of parcels. In total there are 1676 agricultural parcels labeled. The boundaries of the parcels are defined by the Geographic Information System of Agricultural Parcels (SIGPAC) database, which corresponds to the cadastral limits (“parcela” in SIGPAC nomenclature). Each parcel may contain one or more subplots ("recinto" in SIGPAC nomenclature) but with only one crop status. Data are derived from: Morell Monzó, S. (2023). “Desarrollo de procedimientos para la detección del abandono de cultivos de cítricos utilizando técnicas de teledetección” [Tesis doctoral]. Universitat Politècnica de València. https://doi.org/10.4995/Thesis/10251/193058, This data collection was partially created thanks to the funds provided by the Regional Government of Spain, Generalitat Valenciana, within the framework of the research project AICO/2020/246

Graphic info from Fishermen’s Houses 3D4HERITAGE.

[ES] Este dataset incluye los datos en bruto reflejados en el artículo científico titulado Low-starch potato peel for the development of starch-based composites obtained by thermocompression moulding de las autoras: Marta Santos-Iparraguirre, Amparo Chiralt, M. Eugenia Martin-Esparza, Chelo González-Martínez publicado en la revista: Sustainable Food Technology Editorial: Royal Society of Chemistry Año: 2026 (accepted on 19-01-2026), Los autores agradecen la ayuda recibida a través de los siguientes proyectos: Polihidroxialcanoatos para el desarrollo de materiales de envasado biodegradables activos para la conservación de alimentos, PID2022-140444OB-I00 financiado por la State Research Agency, y Aprovechamiento integral de residuos agroalimentarios y su aplicación en el desarrollo de envases biodegradables activos para alimentos, AGROALNEXT/2022/026 financiado por European Union NextGenerationEU/PRTR,

[EN] This dataset includes the raw data collected from the SciTube channel on YouTube. It is composed of descriptive metadata for 411 videos and a content analysis of a sample of 50 videos., Grant PID2022-142569NA-I00 funded by MCIN/AEI/10.13039/501100011033 and, by “ERDF A way of making Europe”, by the “European Union”.

Nowadays, there is a severe problem with waste generation, especially with single-use packaging. Although the trend is to try to recycle or reuse this waste, a significant amount still ends up in landfills, which represents a serious environmental problem. This waste includes laminated materials, which are difficult to recycle because the polymeric material and aluminium layers cannot be separated easily. This work proposes the study of the valorisation of several laminated wastes as radon barriers for indoor spaces due to the similarity in composition between these waste and commercial radon barriers. This dataset contains the experimental data generated during the evaluation of laminated wastes composed of polymeric and aluminium materials as potential radon barriers for indoor spaces. It includes the raw radon concentration measurements recorded in the source and receiver chambers during 48-hour diffusion tests, the main specifications of the experimental set-up used to perform the measurements, and the thickness of the laminated waste samples used in the study. The experimental data were used to calculate the radon concentration reduction and the radon diffusion coefficient, following a modified version of the ISO/TS 11665–13:2017 standard, as reported in the associated publication., This work is financed by grant SUB-33/2021 funded by the Spanish Nuclear Safety Council for laminated wastes, and by grant PID2021-125345OA-I00 funded by MCIN/AEI/10.13039/501100011033 and by “ERDF A way of making Europe” for metallised wastes. B.Ruvira was funded by a pre-doctoral grant from the CSN-UPV "Vicente Serradell" Chair. The authors would like to thank GDES for their collaboration during the research.

Se incluye una muestra de 60 rankings globales de universidades, categorizados en función de una taxonomía propuesta. Estos contenidos constituyen los datos utilizados en un capítuo de libro de futura publicación.

The sponsored content on social networks has raised new questions and research objectives, including discussions regarding the budget invested in these sites by political parties, as well as the new central role that technology corporations play in electoral contexts. This dataset comprises 10,485 Facebook Ad corpus obtained from the Facebook Ad Library through a web crawler developed in Pyhton. The dataset elements correspond to the Facebook Ads paid by the main national political parties during the two 2019 Spanish General Elections precampaign and campaign. The parties are the following: Partido Socialista Obrero Español (PSOE), Partido Popular (PP), Ciudadanos, Unidas Podemos (coalition of Podemos and Izquierda Unida) and Vox. The General Elections were held on April 28 and November 10., We would like to thank Exponentia CIO Juan Besari for providing the appropriate hardware to carry out the Facebook Ad extraction processes.

The dataset contains the input data that has been entered into the mathematical model to develop the case study. The data is provided by the company and the values have been structured according to the indices defined in the model. Input data details have been added to make the model replicable.

This dataset contains the experimental data generated during the development and evaluation of a methodology for applying a commercially available water-based vinyl paint as a radon mitigation barrier for indoor spaces. It includes the raw radon concentration measurements recorded in the source and receiver chambers during diffusion tests performed on samples coated with different numbers of paint coats and paint coat thicknesses. The dataset also includes experimental results obtained using a commercially available anti-radon paint as a reference material for comparison, together with the main specifications of the experimental set-up and the thickness measurements of the paint coats. These experimental data were used to determine the radon concentration reduction and the radon diffusion coefficient following a modified version of the ISO/TS 11665-13:2017 standard, as reported in the associated publication. The experimental data were generated using a two-chamber radon diffusion test following a modified version of ISO/TS 11665-13:2017. The experimental set-up consisted of two sealed AISI 316L stainless steel chambers separated by the test sample. A sealed pitchblende stone (1.469 kBq) was placed inside the source chamber, while the receiver chamber collected the radon that permeated through the sample. Radon concentration in both chambers was continuously monitored using two Durridge RAD7 detectors connected in closed-loop circuits. Temperature and relative humidity were monitored throughout the experiments. Each test lasted 48 hours, during which radon concentrations in the source and receiver chambers were recorded at 30-minute intervals. These raw experimental data were subsequently used to calculate the radon concentration reduction and the radon diffusion coefficient following the procedure described in ISO/TS 11665-13:2017. The dataset also includes the main specifications of the experimental set-up, such as chamber characteristics, radon source activity and test area. The thickness of each paint coat was determined from eight measurements taken at different locations on the coated sample, from which the mean thickness and the standard deviation were calculated. The radon concentration data recorded by the RAD7 detectors at 30-minute intervals were exported. For each experiment, the dataset includes the test date and the radon concentration values measured in the source and receiver chambers throughout the 48-hour test. No additional processing, filtering or normalization was applied to the concentration data before their inclusion in the dataset. The experimental set-up specifications were compiled from the laboratory protocol used during the diffusion tests. For the thickness data, the reported mean thickness and standard deviation were calculated from eight thickness measurements taken at different locations on each coated sample.