Resultados de investigación

Physicochemical soil properties of the long-term case study LT1 of Diverfarming H2020 project for diversified vegetables in southeast Spain. Includes data of the research article "Changes in Bacterial and Fungal Soil Communities in Long-Term Organic Cropping Systems" (https://doi.org/10.3390/agriculture11050445)

Data set associated with the published article entitled: Implications of the Phytoremediation of Heavy Metal Contamination of Soils and Wild Plants in the Industrial Area of Haina, Dominican Republic.

Rainfall data. See metadata file 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.5029124Changes in version 2 - 14-04-2021Files from C-band and X-band radars respectively are concatenated in one timeseries per cell with correct headers. Changes in version 3 - 31-08-2021- Updated documentation file- New names to subfolders

Sensor data from an urban drainage system. See metadata file for more info.This item is a part of the collection "Dataset for Bellinge: An urban drainage case study", https://doi.org/10.11583/DTU.c.5029124Changes in version 2 - 31-08-2021- Updated documentation file- New names to subfolders- Coordinates provided for locations- The period is extended to Aug 18th 2021

Mike Urban and SWMM models for an 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- Minor adjustments to rain data file in SWMM - Updated rain input files to Aug 18th 2021

Asset database of an urban drainage system. See metadata file for more info.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

This dataset contains the results of a parametric mesh study to quantify the discretization uncertainty of steady state multi-reference frame simulations on a counter rotating pico-hydraulic turbine reference case [1][2]. The results of this study were used in the published article [3] for numerical validation purposes. The mesh was made with open-source tool Salome-Platform for the bulk domains and Ansys Turbogrid® for the blade row domains. The simulations where made with OpenFoamV8 open-source library. Three meshes where evaluated, taking in account an effective size ratio r=1.4 (eq. 1). The results where analyzed using the Roache's convergence index, obtaining for the medium mesh about 2% of discretization uncertainty on the total power, and less than 1% on pressure head. Additional simulations where made with the medium mesh to reconstruct the hydraulic efficiency curve. Main simulation results folders: picoTurbineValCase/sim/results/MS[0-2] contains the mesh study simulation results picoTurbineValCase/sim/results/curve contains the off-design simulation results On the meshStudy.org file a summary of the calculations is given.

This data set contains a data-mining performed to assess the impact of crop diversification, tillage and fertilizer type on soil microbial, fungal and bacterial abundance under arable crops worldwide by a further meta-analysis of the data. These data correspond to the open-access article "The impact of crop diversification, tillage and fertilization type on soil total microbial, fungal and bacterial abundance: A worldwide meta-analysis of agricultural sites" published in Agriculture Ecosystems and Environment. (doi:10.1016/j.agee.2022.107867), funded by the European Commission Horizon 2020 project SoildiverAgro [grant agreement 817819].

Aplicación de métodos de análisis y predicción de series temporales basados en sistemas dinámicos no lineales y redes complejas. Aplicados a una serie temporal multidimensional obtenida del servicio OpenData de la AEMET, compuesta por diversas variables meteorológicas (temperatura media, mínima, máxima, velocidad media del viento, irradiación solar, y presión atmosférica, entre otras) diarias registradas por la estación de Murcia (código 7178I) desde el 2016-03-01 hasta el 2021-02-01. Estos datos se han recopilado para el proyecto BitBlue: Investigación de técnicas de difusión, procesado y análisis de Big Data del medio marino, financiado por el Instituto de Fomento de la Región de Murcia con el apoyo de los Fondos FEDER.

Rainfall data only for non-commercial use, see License file. See meta file 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- The period is extended to Aug 18th 2021