Resultados totales (Incluyendo duplicados): 42023
Encontrada(s) 4203 página(s)
Encontrada(s) 4203 página(s)
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/229956
Set de datos (Dataset). 2025
CARBON TEXTILES ELECTRODES MODIFIED WITH RGO AND PT NANOPARTICLES USED FOR ELECTROCHEMICAL TREATMENT OF AZO DYE [DATASET]
- Cases, Francisco
- Orts Maiques, Francisco José
- Bonastre Cano, José Antonio
- Khenifi, Aicha
- Hamous, Hanene
[EN] The efficiency of Orange G (OG) azo dye degradation using an electrochemical method under potentiostatic conditions has been comparatively studied in two electrolytic cells (divided and undivided cells) in the presence or absence of chloride ions with Pt-modified textile electrodes. The morphology of the carbon-based electrodes with nanoparticles of platinum electrochemically dispersed on their surface was analyzed using field emission scanning electron microscopy (FESEM) and EDX analysis. The FESEM analyses confirmed that the textile surface was coated by Pt nanoparticles. According to the experimental results obtained, when the same solutions are comparatively treated with the two cells, the undivided cell always gives a quicker decolorization than the divided cell – and the decrease in total organic carbon (TOC), chemical oxygen demand (COD), and total nitrogen (TN) confirms this result. The degree of OG removal was monitored by spectroscopic methods and high-performance liquid chromatography (HPLC). The results indicate that that full best dye removal is obtained at a loaded charge of around 0.17 Ah L−1 which is associated with an electrical energy per order (EEO) of 0.189 kW h m−3 order−1. Based on the results obtained, the electrochemical process with TCRGO-Pt electrodes could be useful as a pretreatment technique or treatment for decolorizing wastewaters containing dyes., The authors wish to thank the Spanish Agencia Estatal de Investigación (AEI) and European Union (FEDER funds) for the financial support (contract MAT2016-77742-C2-1-P) and Chemviron Carbon who kindly donated the FlexzorbTM FM10 activated carbon fabrics. The invitation by the E3TECH Spanish Network of Excellence (CTQ2017- 90659-REDT (MEIC/AEI)) is kindly acknowledged.
DOI: https://riunet.upv.es/handle/10251/229956
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/229956
HANDLE: https://riunet.upv.es/handle/10251/229956
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/229956
PMID: https://riunet.upv.es/handle/10251/229956
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/229956
Ver en: https://riunet.upv.es/handle/10251/229956
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/229956
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/222677
Set de datos (Dataset). 2035
MENSTRUAL HEALTH, ACCESS TO PRODUCTS AND PERCEPTIONS OF STIGMA IN SPAIN (MENST2024)
MENSTRUAL EXPERIENCES AND STIGMA IN SPAIN: A NATIONAL SURVEY DATASET (MENST2024)
- Moll López, Santiago Emmanuel
- Poveda Bautista, Rocio
- S. Sánchez-López
This dataset contains anonymised responses to a national survey conducted in Spain between June 2021 and June 2022. The survey explores menstrual health, education, access to menstrual products, perceived stigma, and the impact of menstruation on daily life. It includes responses from a diverse population and aims to contribute to research on menstrual equity and social perceptions of menstruation in the Spanish context.
Proyecto: //
DOI: https://riunet.upv.es/handle/10251/222677
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/222677
HANDLE: https://riunet.upv.es/handle/10251/222677
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/222677
PMID: https://riunet.upv.es/handle/10251/222677
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/222677
Ver en: https://riunet.upv.es/handle/10251/222677
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/222677
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212188
Set de datos (Dataset). 2024
3D4HERITAGE_ANTI-AIRCRAFT DEFENSE CULLERA [DATASET]
- Gil Piqueras, Teresa
- Rodríguez Navarro, Pablo
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
DOI: https://riunet.upv.es/handle/10251/212188
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212188
HANDLE: https://riunet.upv.es/handle/10251/212188
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212188
PMID: https://riunet.upv.es/handle/10251/212188
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212188
Ver en: https://riunet.upv.es/handle/10251/212188
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212188
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214304
Set de datos (Dataset). 2025
NEW4ALMOND SP3 OOMYCETES [DATASET]
- Berbegal Martinez, Monica
- Abad Campos, Paloma
- Armengol Fortí, Josep
[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.
Proyecto: //
DOI: https://riunet.upv.es/handle/10251/214304
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214304
HANDLE: https://riunet.upv.es/handle/10251/214304
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214304
PMID: https://riunet.upv.es/handle/10251/214304
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214304
Ver en: https://riunet.upv.es/handle/10251/214304
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214304
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214289
Set de datos (Dataset). 2025
NEW4ALMOND SP3 DIAPORTHE AMYGDALI EPIDEMIOLOGY [DATASET]
- Armengol Fortí, Josep
- Berbegal Martinez, Monica
- Abad Campos, Paloma
[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.
Proyecto: //
DOI: https://riunet.upv.es/handle/10251/214289
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214289
HANDLE: https://riunet.upv.es/handle/10251/214289
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214289
PMID: https://riunet.upv.es/handle/10251/214289
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214289
Ver en: https://riunet.upv.es/handle/10251/214289
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/214289
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212174
Set de datos (Dataset). 2024
BAYREN [DATASET]
- Rodríguez Navarro, Pablo
- Gil Piqueras, Teresa
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
DOI: https://riunet.upv.es/handle/10251/212174
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212174
HANDLE: https://riunet.upv.es/handle/10251/212174
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212174
PMID: https://riunet.upv.es/handle/10251/212174
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212174
Ver en: https://riunet.upv.es/handle/10251/212174
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212174
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/201071
Set de datos (Dataset). 2023
GEOREFERENCED DATASET OF ABANDONED CITRUS CROPS (COMUNITAT VALENCIANA, SPAIN)
- Morell-Monzó, Sergio
- Sebastiá-Frasquet, M.-T.
- Estornell Cremades, Javier
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
Proyecto: Generalitat Valenciana//AICO/2020/246
DOI: https://riunet.upv.es/handle/10251/201071
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/201071
HANDLE: https://riunet.upv.es/handle/10251/201071
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/201071
PMID: https://riunet.upv.es/handle/10251/201071
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/201071
Ver en: https://riunet.upv.es/handle/10251/201071
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/201071
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212189
Set de datos (Dataset). 2024
3D4HERITAGE_FISHERMEN’S HOUSES CULLERA [DATASET]
- Gil Piqueras, Teresa
- Rodríguez Navarro, Pablo
Graphic info from Fishermen’s Houses 3D4HERITAGE.
DOI: https://riunet.upv.es/handle/10251/212189
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212189
HANDLE: https://riunet.upv.es/handle/10251/212189
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212189
PMID: https://riunet.upv.es/handle/10251/212189
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212189
Ver en: https://riunet.upv.es/handle/10251/212189
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/212189
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
Set de datos (Dataset). 2020
[SUPPLEMENTARY MATERIAL] MULTIDIMENSIONAL TAXONOMY OF UNIVERSITY RANKINGS
- Orduña-Malea, Enrique
- Perez-Esparrells, Carmen
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.
Proyecto: //
DOI: https://riunet.upv.es/handle/10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
HANDLE: https://riunet.upv.es/handle/10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
PMID: https://riunet.upv.es/handle/10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
Ver en: https://riunet.upv.es/handle/10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/140526
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
Set de datos (Dataset). 2020
2019 SPANISH GENERAL ELECTIONS FACEBOOK ADS DATASET
- Baviera, Tomás
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.
DOI: https://riunet.upv.es/handle/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
HANDLE: https://riunet.upv.es/handle/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
PMID: https://riunet.upv.es/handle/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
Ver en: https://riunet.upv.es/handle/10251/146502
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/146502
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