Resultados de investigación

Earthworm community metrics data collected during the years 2019 and 2020 from organically and conventionally managed wheat fields (188 fields in total) in nine pedo-climatic zones of Europe, together with associated site information on climate, soil properties and agricultural management of the fields.

This dataset includes the data obtained during the installation of a camera system and development of a LSPIV methodology to determine the velocities of runoff generated in the BLOCK rainfall simulator located at the Universidade da Coruña. The dataset consists of raw and processed images and surface velocity maps obtained during the assessment of the full process. This data will help to improve and assess imaging techniques in urban environments with the presence of realistic rain, and test new preprocessing and postprocessing methods to optimize the different processes. This dataset is a result from the Joint Research Activity 3 (WP8, Improving Resilience and Sustainability in Urban Drainage solutions), Task 8.1.1. (Development of Scalable Hydrodynamic Performance Protocols.) within Co-UDlabs project, funded under the European Union s Horizon 2020 research and innovation programme under grant agreement No 101008626.

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].