BUSCADOR RECOLECTA

Graphic info: P1-Battery 3D4HERITAGE, pdf file, Battery floor plant; P2-Battery 3D4HERITAGE, pdf file, Powder magazine elevator; P2-Battery 3D4HERITAGE, pdf file, Command and Observation Post; 3D machine-gun nest, pdf file

[EN] The overall objective of the NEW4ALMOND project is to improve the health status and productivity of almond, through the development of techniques and procedures that allow reducing the impact of the most important diseases of the crop and thus contribute to its management from an economic and environmental point of view. The NEW4ALMOND_SP3_Oomycetes dataset includes part of the data obtained in the activities of Subproject 3 developed at the UPV related with improving the knowledge about the Oomycetes affecting almond.

[EN] The overall objective of the NEW4ALMOND project is to improve the health status and productivity of almond, through the development of techniques and procedures that allow reducing the impact of the most important diseases of the crop and thus contribute to its management from an economic and environmental point of view. The NEW4ALMOND_SP3_Diaporthe_amygdali_Epidemiology dataset includes part of the data obtained in the activities of Subproject 3 developed at the UPV related with improving the knowledge about the epidemiology of Diaporthe disease dieback.

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.

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.

Concerns about the health of the planet have grown dramatically, and the dyeing sector of the textile industry is one of the most polluting of all industries. Nanoclays can clean dyeing wastewater using their adsorption capacities. In this study, as a new finding, it was possible to analyze and quantify the amount of metal ions substituted by anionic dyes when adsorbed, and to determine the optimal amount of nanoclay to be used to adsorb all the dye. The tests demonstrated the specific amount of nanoclay that must be used and how to optimize the subsequent processes of separation and processing of the nanoclay. Hydrotalcite was used as the adsorbent material. Direct dyes were used in this research. X-ray diffraction (XRD) patterns allowed the shape recovery of the hydrotalcite to be checked and confirmed the adsorption of the dyes. An FTIR analysis was used to check the presence of characteristic groups of the dyes in the resulting hybrids. The thermo-gravimetric (TGA) tests corroborated the dye adsorption and the thermal fastness improvement. Total solar reflectance (TSR) showed increased radiation protection for UV-VIS-NIR. Through the work carried out, it has been possible to establish the maximum adsorption point of hydrotalcite.