Resultados de investigación

Data on an experiment to find out the interconnections between soil physicochemical properties and the microbial communities residing in the topsoil and the subsoil of irrigated orchards under a semiarid Mediterranean climate. We collected soil samples from two depths, topsoil (0-10 cm) and subsoil (30-50 cm), noting elevated salinity levels in the topsoil due to irrigation practices. Utilizing high-throughput 16S rRNA gene and ITS1 region amplicon sequencing, we characterized the bacterial and fungal communities across these two depths.

1283 multispectral images with 37 reflectance bands in numpy array format (.npy) of 5 different grape varieties originating from the province of Murcia, Spain. Ready to be used in any supervised learning pipeline to fit classification or regression models. Ground truth is provided together with the images in a tab separated text file with the information of each grape type, weight, Brix index and anthocyanines content.

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.