Resultados totales (Incluyendo duplicados): 639
Encontrada(s) 64 página(s)
Encontrada(s) 64 página(s)
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217029
Set de datos (Dataset). 2018
AMBIENT AIR OZONE CONCENTRATIONS USING METAL-OXIDE LOW-COST SENSORS: SPAIN AND ITALY, SUMMER 2018
- Viana, Mar
- Ripoll, Anna
- Barceló-Ordinas, José María
- García Vidal, Jorge
Ozone concentrations in ambient air collected using low-cost sensor technologies, in the framework of EU project CAPTOR. Data collected during summer 2018 in NE Spain and N Italy. Sensors are metal-oxide. Data are calibrated using multiple linear regression, and validated against official reference data from each local air quality monitoring network. More details on the calibration and data validation may be found in A. Ripoll et al. / Science of the Total Environment 651 (2019) 1166–1179., Ozone concentrations in ambient air collected using low-cost sensor technologies, in the framework of EU project CAPTOR. Data collected during summer 2018 in NE Spain and N Italy. Sensors are metal-oxide. Data are calibrated using multiple linear regression, and validated against official reference data from each local air quality monitoring network. More details on the calibration and data validation may be found in A. Ripoll et al. / Science of the Total Environment 651 (2019) 1166–1179., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/217029
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217029
HANDLE: http://hdl.handle.net/10261/217029
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217029
PMID: http://hdl.handle.net/10261/217029
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217029
Ver en: http://hdl.handle.net/10261/217029
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217029
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217030
Set de datos (Dataset). 2017
PM10 AND PM2.5 CONCENTRATIONS OF CHEMICAL TRACERS FOR NATURAL SOURCES
- Diapouli, Evangelia
- Querol, Xavier
- Amato, Fulvio
- Alastuey, Andrés
- Karanasiou, Angeliki
The contribution of natural sources in particulate matter (PM) concentrations has been assessed for 5 Southern European cities: Porto (Portugal), Barcelona (Spain), Milan and Florence (Italy) and Athens (Greece). A database on the impact of natural source has been compiled, including concentrations of PM and chemical tracers used for the identification and quantification of African dust and sea salt contributions, as well as the calculated African net dust, and sea salt concentrations for each city. In addition, wildfires’ contribution is provided for Porto. Both PM10 and PM2.5 concentrations are reported for a total of six sites:
Porto urban traffic site, POR-TR
Barcelona urban background site, BCN-UB
Milano urban background site, MLN-UB
Florence urban background site, FI-UB
Athens suburban site, ATH-SUB
Athens urban traffic site, ATH-TR., The contribution of natural sources in particulate matter (PM) concentrations has been assessed for 5 Southern European cities: Porto (Portugal), Barcelona (Spain), Milan and Florence (Italy) and Athens (Greece). A database on the impact of natural source has been compiled, including concentrations of PM and chemical tracers used for the identification and quantification of African dust and sea salt contributions, as well as the calculated African net dust, and sea salt concentrations for each city. In addition, wildfires’ contribution is provided for Porto. Both PM10 and PM2.5 concentrations are reported for a total of six sites:
Porto urban traffic site, POR-TR
Barcelona urban background site, BCN-UB
Milano urban background site, MLN-UB
Florence urban background site, FI-UB
Athens suburban site, ATH-SUB
Athens urban traffic site, ATH-TR., Peer reviewed
Proyecto: //
DOI: http://hdl.handle.net/10261/217030
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217030
HANDLE: http://hdl.handle.net/10261/217030
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217030
PMID: http://hdl.handle.net/10261/217030
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217030
Ver en: http://hdl.handle.net/10261/217030
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217030
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217034
Set de datos (Dataset). 2020
HEAT DISSIPATION TEST WITH SINGLE FIBER OPTIC CABLE
- del Val, Laura
- Pool, María
- Carrera, Jesús
- Martínez, Lurdes
- Casanovas, Carlos
- Bour, Olivier
- Folch, Albert
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
Proyecto: //
DOI: http://hdl.handle.net/10261/217034
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217034
HANDLE: http://hdl.handle.net/10261/217034
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217034
PMID: http://hdl.handle.net/10261/217034
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217034
Ver en: http://hdl.handle.net/10261/217034
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217034
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217036
Set de datos (Dataset). 2019
[DATASET] ILLICIT DRUGS IN WASTEWATER - SCORE INITIATIVE
- Ort, Christoph
- López de Alda, Miren
- Zuccato, Ettore
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
Proyecto: //
DOI: http://hdl.handle.net/10261/217036
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217036
HANDLE: http://hdl.handle.net/10261/217036
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217036
PMID: http://hdl.handle.net/10261/217036
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217036
Ver en: http://hdl.handle.net/10261/217036
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217036
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217046
Set de datos (Dataset). 2016
[DATASET] O3, UFP AND VOCS FIELD CAMPAIGN IN MADRID, JULY 2016
- Pérez, Noemí
- Reche, Cristina
- Ealo, Marina
- Titos, Gloria
- Lee, Hong Ku
- Eun, Hee Ram
- Park, Yong-Hee
- Mantilla, Enrique
- Escudero, Miguel
- Gómez-Moreno, Francisco Javier
- Alonso-Blanco, Elisabeth
- Coz, Esther
- Saiz-Lopez, A.
- Beddows, D.C.S.
- Harrison, Roy M.
- Ahn, Kang-Ho
- Alastuey, Andrés
- Querol, Xavier
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
Proyecto: //
DOI: http://hdl.handle.net/10261/217046
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217046
HANDLE: http://hdl.handle.net/10261/217046
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217046
PMID: http://hdl.handle.net/10261/217046
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217046
Ver en: http://hdl.handle.net/10261/217046
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217046
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217049
Set de datos (Dataset). 2019
DATA FOR: SHORT-TERM EFFECTS OF PARTICULATE MATTER AND DESERT DUST EPISODES ON DAILY MORTALITY DURING IN IRAN
- Querol, Xavier
- Yarahmadi, Maryam
- Hadei, Mostafa
- Namvar, Zahra
- Hashemi Nazari, Seyed Saeed
- Shahsavani, Abbas
- Stafoggia, Massimo
- Emam, Baharan
- Khosravi, Ardeshir
- Tobías, Aurelio
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
Proyecto: //
DOI: http://hdl.handle.net/10261/217049
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217049
HANDLE: http://hdl.handle.net/10261/217049
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217049
PMID: http://hdl.handle.net/10261/217049
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217049
Ver en: http://hdl.handle.net/10261/217049
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217049
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217106
Set de datos (Dataset). 2020
CALIBRATION SOFTWARE AND DATA SETS USED IN: "MULTI-SENSOR DATA FUSION CALIBRATION IN IOT AIR POLLUTION PLATFORMS" PAPER
- Ferrer-Cid, Pau
- Barceló-Ordinas, José María
- García Vidal, Jorge
- Ripoll, Anna
- Viana, Mar
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
Proyecto: EC/H2020/688110
DOI: http://hdl.handle.net/10261/217106
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217106
HANDLE: http://hdl.handle.net/10261/217106
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217106
PMID: http://hdl.handle.net/10261/217106
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217106
Ver en: http://hdl.handle.net/10261/217106
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217106
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217107
Set de datos (Dataset). 2019
DATA USED IN PAPER "A COMPARATIVE STUDY OF CALIBRATION METHODS FOR LOW-COST OZONE SENSORS IN IOT PLATFORMS"
- Ferrer-Cid, Pau
- Barceló-Ordinas, José María
- García Vidal, Jorge
- Ripoll, Anna
- Viana, Mar
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
Proyecto: //
DOI: http://hdl.handle.net/10261/217107
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217107
HANDLE: http://hdl.handle.net/10261/217107
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217107
PMID: http://hdl.handle.net/10261/217107
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217107
Ver en: http://hdl.handle.net/10261/217107
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217107
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217206
Set de datos (Dataset). 2020
CANTARERO ET AL 2020 EVOLUTION REPOSITORY DATA
- Cantarero, Alejandro
- Mateo, Rafael
- Camarero, Pablo R.
- Alonso, Daniel
- Fernández-Eslava, Blanca
- Alonso-Álvarez, Carlos
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
DOI: http://hdl.handle.net/10261/217206
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217206
HANDLE: http://hdl.handle.net/10261/217206
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217206
PMID: http://hdl.handle.net/10261/217206
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217206
Ver en: http://hdl.handle.net/10261/217206
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217206
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217248
Set de datos (Dataset). 2020
OTIC NEUROGENESIS IS REGULATED BY TGFΒ IN A SENESCENCE-INDEPENDENT MANNER DATASET
- Magariños, Marta
- Barajas-Azpeleta, Raquel
- Varela-Nieto, Isabel
- Aburto, María R.
This work has been supported by Spanish MINECO/FEDER SAF2017-86107-R to IV-N and MM., Peer reviewed
Proyecto: AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/SAF2017-86107-R
DOI: http://hdl.handle.net/10261/217248
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217248
HANDLE: http://hdl.handle.net/10261/217248
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217248
PMID: http://hdl.handle.net/10261/217248
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217248
Ver en: http://hdl.handle.net/10261/217248
DIGITAL.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/217248
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