Resultados de investigación

A Heat Dissipation Test implies heating a conducting element within the saturated soil until its temperature increase reaches steady state while monitoring the temperature development of the heating element during heating and cooling phases. In this case, we used a single Fiber Optic (FO) cable to perform a Heat Dissipation Test, aiming to quantify groundwater flow. The FO cable is installed along the outer casing of a piezometer located in an unconsolidated shallow aquifer. The data presented are the maximum temperature reached each depth, the filtered temperature increment for the most representative depths, and the resulting values of thermal conductivity and groundwater flow based on the interpretation of the recorded data., A Heat Dissipation Test implies heating a conducting element within the saturated soil until its temperature increase reaches steady state while monitoring the temperature development of the heating element during heating and cooling phases. In this case, we used a single Fiber Optic (FO) cable to perform a Heat Dissipation Test, aiming to quantify groundwater flow. The FO cable is installed along the outer casing of a piezometer located in an unconsolidated shallow aquifer. The data presented are the maximum temperature reached each depth, the filtered temperature increment for the most representative depths, and the resulting values of thermal conductivity and groundwater flow based on the interpretation of the recorded data., Peer reviewed

Members and partners of the Sewage analyses CORe group Europe - (SCORE) measured five illicit drug residues in wastewater 2011-2017 (every year one week). The data set covers in total 143 wastewater treatment plants in 120 cities from 37 countries, which were monitored at least once., Members and partners of the Sewage analyses CORe group Europe - (SCORE) measured five illicit drug residues in wastewater 2011-2017 (every year one week). The data set covers in total 143 wastewater treatment plants in 120 cities from 37 countries, which were monitored at least once., Peer reviewed

This dataset contains data from SMPS, PSM and CPC, gases, particulate matter and meteorological variables at the surface stations, as well as the measurements of the vertical soundings with tethered balloons., This dataset contains data from SMPS, PSM and CPC, gases, particulate matter and meteorological variables at the surface stations, as well as the measurements of the vertical soundings with tethered balloons., Peer reviewed

Daily PM10 and PM2.5 concentrations in µg/m3 used in this study for Ahvaz and Tehran, mortality data can not be supplied because there is a confidentiality agreement for the use, Daily PM10 and PM2.5 concentrations in µg/m3 used in this study for Ahvaz and Tehran, mortality data can not be supplied because there is a confidentiality agreement for the use, Peer reviewed

The data folder is includes the five different data sets used in the paper along with a metadata file, where the different features are explained., This dataset contains python scripts to calibrate tropospheric ozone sensor data obtained in the H2020 Captor project using sensor fusion techniques. Four different models are implemented; Multiple Linear Regression (MLR), K-Nearest Neighbors (KNN),Random Forest(RF) and Support Vector Regression (SVR). The methodology consists of first applying the PLS procedure to derive orthogonal components (to avoid multicollinearity problems). Afterwards, the components are used as features in the machine learning algorithms, so the models are trained. The scripts available in this repository have been used in the elaboration of the paper: "Multi-sensor data fusion calibration in IoT air pollution platforms" submitted to the IEEE Internet of Things journal., National Spanish funding; Regional Project; EU H2020 CAPTOR Project; AGAUR SGR44; 10.13039/501100011033-Agencia Estatal de Investigación; Spanish Ministry of Economy, Industry and Competitiveness, Peer reviewed

Data used in paper "A comparative study of calibration methods for low-cost ozone sensors in IoT platforms", submitted for publication. The data consists of: (i) raw data from three nodes with four MICS 2614 metal-oxide ozone sensors deployed in Spain, summer 2017, and (ii) raw data of five alphasense OX-B431 and NO2-B43F electro-chemical sensors, four deployed in Italy and one in Austria, summers 2017 and 2018. Moreover, we have added the calibrated data using four machine learning methods: Multiple Linear Regression (MLR), K-Nearest Neighbors (KNN), Random Forest (RF) and Support Vector Regression (SVR)., Data used in paper "A comparative study of calibration methods for low-cost ozone sensors in IoT platforms", submitted for publication. The data consists of: (i) raw data from three nodes with four MICS 2614 metal-oxide ozone sensors deployed in Spain, summer 2017, and (ii) raw data of five alphasense OX-B431 and NO2-B43F electro-chemical sensors, four deployed in Italy and one in Austria, summers 2017 and 2018. Moreover, we have added the calibrated data using four machine learning methods: Multiple Linear Regression (MLR), K-Nearest Neighbors (KNN), Random Forest (RF) and Support Vector Regression (SVR)., Peer reviewed

Dataset (excel) containing the data used in the analyses of the accepted manuscript entitled: Testing the shared-pathway hypothesis in the carotenoid-based coloration of red crossbills. The article will be published in Evolution., Descriptions of each variable are included as comments on the name of the variable (first row). Readme file added., This is a dataset that allowed testing the shared-pathway hypothesis on the honest signaling based on animal colorations created by red ketocarotenoid pigments. The dataset includes levels of pigments and vitamins in blood and feathers as well as feather coloration in captive Eurasian crossbills under captivity., Ministerio de Economía y Competitividad, Ministerio de Ciencia e Innovación, Fundación Ramón Areces, Spain., No

This work has been supported by Spanish MINECO/FEDER SAF2017-86107-R to IV-N and MM., Peer reviewed

Raw data from which all the analysis and paper results have been generated., Ibero-American scholarship program (2018-2019) of Banco Santander. “Technological innovations for the management and improvement of the quality and health of banana soils in Latin America and the Caribbean” financed by FONTAGRO and coordinated by Bioversity International. .SHui project funded by the European Commission (GA 773903)., Peer reviewed

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 800617., Ver "AriMov_Leeme.txt", Peer reviewed