Resultados de investigación

This dataset contains the experimental data supporting the publication "High-performance bio-based UV-curable coatings with tunable mechanical and tribological properties". The dataset includes physicochemical, thermal, mechanical, surface and tribological characterization of bio-based UV-curable coatings formulated from acrylated epoxidized soybean oil (AESO), isobornyl methacrylate (IBOMA) and isobornyl acrylate (IBOA). The characterization techniques include FTIR spectroscopy, UV-VIS spectroscopy, thermogravimetric analysis (TGA), dynamic mechanical analysis (DMA), tensile testing, surface profilometry, wettability measurements, adhesion testing, scratch testing, reciprocating sliding tribological tests, optical microscopy and scanning electron microscopy., Ministerio de Ciencia e Innovación (MCIN/AEI): Project PID2021-122169NB-I00 Predoctoral contract PRE2022-102014

This dataset contains experimental data obtained during the characterization and tribological evaluation of avocado-oil-based biolubricants modified with the protic ionic liquid diethylmethylammonium methanesulfonate. The dataset includes physicochemical characterization, epoxidation and spectroscopic verification of avocado oil, viscosity measurements, wettability studies, thermal stability analyses, friction and wear results, surface roughness measurements, microscopy observations, elemental analyses and XPS surface characterization associated with tribological testing., Ministerio de Ciencia e Innovación (MCIN/AEI): Project PID2021-122169NB-I00. Predoctoral contract PRE2022-102014

Description of the catchment to the urban drainage system. See metadata for more information.This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124 Changes in version 2 - 31-08-2021- Updated documentation file- New names to subfolders

This data set contains a data-mining performed to assess the impact of intercropping, tillage and fertilizer type on soil and crop yield in fruit orchards under Mediterranean conditions by a further meta-analysis of the data. These data correspond to the open-access article "The impact of intercropping, tillage and fertilizer type on soil and crop yield in fruit orchards under Mediterranean conditions: A meta-analysis of field studies" published in Agricultural Systems. (https://doi.org/10.1016/j.agsy.2019.102736), funded by he European Commission Horizon 2020 project Diverfarming [grant agreement 728003]. Raúl Zornoza acknowledges the financial support from the Spanish Ministry of Science, Innovation and Universities through the “Ramón y Cajal” Program [RYC-2015-18758].

This dataset includes data corresponding to the paper "Segmentation of Multiple Tree Leaves Pictures with Natural Backgrounds using Deep Learning for Image-Based Agriculture Applications" with DOI: 10.3390/app10010202

Data set associated with the published chapter entitled: La sostenibilidad ambiental en la gestión pública y empresarial: ¿desarrollo o equilibrio sostenible? García Fernández, Gregorio. (2022). Capítulo 14: La sostenibilidad ambiental en la gestión pública y empresarial: ¿desarrollo o equilibrio sostenible? En: Portillo Navarro, María José, Baixauli Soler, J. Samuel (Eds.). Ecoinnovación desde una perspectiva del sector público. Thomson Reuters Aranzadi. Pp. 307-327.

This dataset contains the experimental data supporting the publication "Physicochemical characterisation of graphene-ammonium lactate ionic liquid nanofluid". The dataset includes Raman and FTIR spectroscopy, electrical conductivity, rheological characterization and cyclic voltammetry measurements of dispersions prepared by incorporating graphene (0.1, 0.5 and 1 wt%) into the protic ionic liquid 2-hydroxyethylammonium lactate (ML). Images related to dispersion stability and graphical representations used in the publication are also included., Ministerio de Ciencia e Innovación (MCIN/AEI): Project PID2021-122169NB-I00 Predoctoral contract PRE2022-102014