Resultados totales (Incluyendo duplicados): 42467
Encontrada(s) 4247 página(s)
Encontrada(s) 4247 página(s)
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
- Sánchez-López, S.
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:10251/230644
Set de datos (Dataset). 2025
ASCORBIC ACID-ASSISTED EXTRACTION OF BIOACTIVE PECTIN FROM COCOA AND COFFEE HUSKS WITH ANTIOXIDANT AND ANTI-INFLAMMATORY POTENTIAL [DATASET]
ASCORBIC ACID-ASSISTED EXTRACTION OF BIOACTIVE PECTIN FROM COCOA AND COFFEE HUSKS
- Mares Bou, Sofía
- Pazmiño-Eugenio, Damaris A.
- Cheung, William
- Contreras Monzón, Carolina Ivonne
- Hernández-Montoto, Andy
- Gallego-Ferrer, Gloria
- Girón Hernández, Lunier Joel
- Gentile, Piergiorgio
[EN] Pectin, a multifunctional polysaccharide with food, pharmaceutical and biomedical applications, can be sustainably extracted from Theobroma cacao and Coffea arabica pod husk waste. This study optimized an eco-friendly, ascorbic-acid-assisted acid extraction to maximize galacturonic acid (GalA) content, achieving optimal conditions for cocoa (R= 0.02 g/mL, P= 45:55 v/v AA:HCl, T= 65 min) and coffee (R= 0.01 g/mL, P= 100:0 v/v AA, T= 65 min). The extraction yielded pectin with ≥74% GalA, meeting USP/FCC pharmaceutical-grade criteria, with cocoa and coffee husk yields of ~7% and ~21%, respectively. Dialysis increased purity, raising molecular weight up to ~297000 Da and narrowing dispersity. Extracted pectin exhibited higher total phenolic and flavonoid contents than commercial citrus pectin and showed superior antioxidant capacity (ORAC up to 53.1 mg TE/g; DPPH up to 2420 mg TE/g), supported by metabolomic profiling that identified abundant antioxidant metabolites such as protocatechuic acid, trigonelline and catechol. In vitro assays with human dermal fibroblasts demonstrated cytocompatibility at 0.1 mg/mL, mild ROS-scavenging effects and selective modulation of inflammatory cytokines, with cocoa pectin reducing IL6 and dialyzed coffee pectin showing strong IL-6 suppression.
DOI: https://riunet.upv.es/handle/10251/230644
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/230644
HANDLE: https://riunet.upv.es/handle/10251/230644
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/230644
PMID: https://riunet.upv.es/handle/10251/230644
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/230644
Ver en: https://riunet.upv.es/handle/10251/230644
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/230644
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:10251/231818
Set de datos (Dataset). 2026
LOW-STARCH POTATO PEEL FOR THE DEVELOPMENT OF STARCH-BASED COMPOSITES [DATASET]
- Martín-Esparza, M.E.
- González Martínez, María Consuelo
- Santos-Iparraguirre, Marta
- Chiralt, Amparo
[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,
DOI: https://riunet.upv.es/handle/10251/231818
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231818
HANDLE: https://riunet.upv.es/handle/10251/231818
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231818
PMID: https://riunet.upv.es/handle/10251/231818
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231818
Ver en: https://riunet.upv.es/handle/10251/231818
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231818
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231259
Set de datos (Dataset). 2025
DESCRIPTION OF SCITUBE VIDEOS [DATASET]
- Font-Julian, Cristina I.
- Rodríguez-Rodríguez, Alejandro
- Orduña-Malea, Enrique
[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”.
DOI: https://riunet.upv.es/handle/10251/231259
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231259
HANDLE: https://riunet.upv.es/handle/10251/231259
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231259
PMID: https://riunet.upv.es/handle/10251/231259
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231259
Ver en: https://riunet.upv.es/handle/10251/231259
RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
oai:riunet.upv.es:10251/231259
Buscador avanzado