Resultados totales (Incluyendo duplicados): 45302
Encontrada(s) 4531 página(s)
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285722
Dataset. 2019

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., European Commission: CAPTOR - Collective Awareness Platform for Tropospheric Ozone Pollution (688110), Peer reviewed

Proyecto: EC/H2020/688110
DOI: http://hdl.handle.net/10261/285722
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285722
HANDLE: http://hdl.handle.net/10261/285722
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285722
PMID: http://hdl.handle.net/10261/285722
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285722
Ver en: http://hdl.handle.net/10261/285722
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285722

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285723
Dataset. 2019

AMBIENT AIR OZONE CONCENTRATIONS USING METAL-OXIDE LOW-COST SENSORS: SPAIN AND ITALY, SUMMER 2017

  • 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 2017 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., European Commission: CAPTOR - Collective Awareness Platform for Tropospheric Ozone Pollution (688110), Peer reviewed

Proyecto: EC/H2020/688110
DOI: http://hdl.handle.net/10261/285723
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285723
HANDLE: http://hdl.handle.net/10261/285723
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285723
PMID: http://hdl.handle.net/10261/285723
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285723
Ver en: http://hdl.handle.net/10261/285723
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285723

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285739
Dataset. 2022

IAA/CSIC TEMPERATURE AND CO2 DENSITY PROFILES IN MARS YEAR 34 RETRIEVED FROM THE 1ST YEAR OF NOMAD/TGO SOLAR OCCULTATION OBSERVATIONS [DATASET]

  • López-Valverde, M. A.
Dataset associated to manuscript 2022JE007278, "Martian atmospheric temperature and density profiles during the 1st year of NOMAD/TGO solar occultation measurements", submitted on Feb 28th, 2022, to Journal of Geophysical Research - Planets (AGU) for the Special Issue "ExoMars Trace Gas Orbiter: One Martian Year of Science". Format and Number of datafiles: 1 README.txt and 1 tar file containing 325 ASCII files, one for each retrieved NOMAD scan. Each of these files contains one vertical profile of 7 parameters: altitude (km), Temperature in the last iteration (K), atmospheric pressure (mb), Temperature of First Guess (K), pressure of First Guess (mb), Temperature retrieval error (K) and diagonal element fo the Averaging Kernel matrix at that tangent altitude (normalized to 0-1). Also, the header of each file contains extra info, like the NOMAD "internal" data filename, and the ranges in latitude, longitude, Local time, Solar Longitude, tangent heights observed, and Line-of-Sight shift needed to obtain a good fit, together with the number of altitudes in the retrieval vector (usually around 100 km). See README file for more details., The IAA/CSIC team acknowledges financial support from the State Agency for Research of the Spanish MCIU through the ‘Center of Excellence Severo Ochoa’ award for the Instituto de Astrofísica de Andalucía (SEV-2017-0709) and funding by grant PGC2018-101836-B-100 (MCIU/AEI/FEDER, EU). F.G.G. is funded by the Spanish Ministerio de Ciencia, Innovación y Universidades, the Agencia Estatal de Investigación and EC FEDER funds under project RTI2018-100920-J-I00. ExoMars is a space mission of the European Space Agency (ESA) and Roscosmos. The NOMAD experiment is led by the Royal Belgian Institute for Space Aeronomy (IASB-BIRA), assisted by Co-PI teams from Spain (IAA-CSIC), Italy (INAF-IAPS), and the United Kingdom (Open University). This project acknowledges funding by the Belgian Science Policy Office (BELSPO), with the financial and contractual coordination by the ESA Prodex Office (PEA 4000103401, 4000121493) as well as by UK Space Agency through grants ST/V002295/1, ST/V005332/1 and ST/S00145X/1 and Italian Space Agency through grant 2018-2-HH.0. Adrian Brines acknowledges grant PRE2019-088355 funded by MCIN/AEI/ 10.13039/501100011033 and, as appropriate, by “ESF Investing in your future” or by “European Union NextGenerationEU/PRTR”. BF also acknowledges support by project PID2019-110689RB-I00/AEI/10.13039/501100011033., Peer reviewed

DOI: http://hdl.handle.net/10261/285739
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285739
HANDLE: http://hdl.handle.net/10261/285739
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285739
PMID: http://hdl.handle.net/10261/285739
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285739
Ver en: http://hdl.handle.net/10261/285739
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285739

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285744
Dataset. 2018

SUPPLEMENTARY MATERIAL 4 FROM: MARTÍN-FORÉS I, CASADO MA, CASTRO I, DEL POZO A, MOLINA-MONTENEGRO MA, DE MIGUEL JM, ACOSTA-GALLO B (2018) VARIATION IN PHENOLOGY AND OVERALL PERFORMANCE TRAITS CAN HELP TO EXPLAIN THE PLANT INVASION PROCESS AMONGST MEDITERRANEAN ECOSYSTEMS. NEOBIOTA 41: 67-89. HTTPS://DOI.ORG/10.3897/NEOBIOTA.41.29965

  • Martín-Forés, Irene
  • Casado, Miguel A.
  • Castro, Isabel
  • Pozo, Alejandro del
  • Molina-Montenegro, Marco A.
  • Miguel, José M. de
  • Acosta-Gallo, Belén
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285744
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285744
HANDLE: http://hdl.handle.net/10261/285744
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285744
PMID: http://hdl.handle.net/10261/285744
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285744
Ver en: http://hdl.handle.net/10261/285744
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285744

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285750
Dataset. 2018

SUPPLEMENTARY MATERIAL 2 FROM: MARTÍN-FORÉS I, CASADO MA, CASTRO I, DEL POZO A, MOLINA-MONTENEGRO MA, DE MIGUEL JM, ACOSTA-GALLO B (2018) VARIATION IN PHENOLOGY AND OVERALL PERFORMANCE TRAITS CAN HELP TO EXPLAIN THE PLANT INVASION PROCESS AMONGST MEDITERRANEAN ECOSYSTEMS. NEOBIOTA 41: 67-89. HTTPS://DOI.ORG/10.3897/NEOBIOTA.41.29965

  • Martín-Forés, Irene
  • Casado, Miguel A.
  • Castro, Isabel
  • Pozo, Alejandro del
  • Molina-Montenegro, Marco A.
  • Miguel, José M. de
  • Acosta-Gallo, Belén
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285750
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285750
HANDLE: http://hdl.handle.net/10261/285750
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285750
PMID: http://hdl.handle.net/10261/285750
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285750
Ver en: http://hdl.handle.net/10261/285750
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285750

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285752
Dataset. 2018

SUPPLEMENTARY MATERIAL 1 FROM: MARTÍN-FORÉS I, CASADO MA, CASTRO I, DEL POZO A, MOLINA-MONTENEGRO MA, DE MIGUEL JM, ACOSTA-GALLO B (2018) VARIATION IN PHENOLOGY AND OVERALL PERFORMANCE TRAITS CAN HELP TO EXPLAIN THE PLANT INVASION PROCESS AMONGST MEDITERRANEAN ECOSYSTEMS. NEOBIOTA 41: 67-89. HTTPS://DOI.ORG/10.3897/NEOBIOTA.41.29965

  • Martín-Forés, Irene
  • Casado, Miguel A.
  • Castro, Isabel
  • Pozo, Alejandro del
  • Molina-Montenegro, Marco A.
  • Miguel, José M. de
  • Acosta-Gallo, Belén
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285752
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285752
HANDLE: http://hdl.handle.net/10261/285752
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285752
PMID: http://hdl.handle.net/10261/285752
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285752
Ver en: http://hdl.handle.net/10261/285752
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285752

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285754
Dataset. 2018

SUPPLEMENTARY MATERIAL 3 FROM: MARTÍN-FORÉS I, CASADO MA, CASTRO I, DEL POZO A, MOLINA-MONTENEGRO MA, DE MIGUEL JM, ACOSTA-GALLO B (2018) VARIATION IN PHENOLOGY AND OVERALL PERFORMANCE TRAITS CAN HELP TO EXPLAIN THE PLANT INVASION PROCESS AMONGST MEDITERRANEAN ECOSYSTEMS. NEOBIOTA 41: 67-89. HTTPS://DOI.ORG/10.3897/NEOBIOTA.41.29965

  • Martín-Forés, Irene
  • Casado, Miguel A.
  • Castro, Isabel
  • Pozo, Alejandro del
  • Molina-Montenegro, Marco A.
  • Miguel, José M. de
  • Acosta-Gallo, Belén
Peer reviewed

Proyecto: //
DOI: http://hdl.handle.net/10261/285754
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285754
HANDLE: http://hdl.handle.net/10261/285754
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285754
PMID: http://hdl.handle.net/10261/285754
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285754
Ver en: http://hdl.handle.net/10261/285754
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285754

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285756
Dataset. 2019

WATER TURBIDITY MASKS DOÑANA 1984/2019

  • Díaz-Delgado, Ricardo
  • Afán, Isabel
  • Aragonés, David
  • García, Diego
  • Bustamante, Javier
Time Series water turbidity derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, the product and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/ Teh methodology is described in the paper: Empirical models to estimate water turbidity from reflectance data from TM or ETM+ Landsat sensors in shallow wetlands such as Doñana marshes. See the reference: Bustamante, J. et al. 2009. Predictive models of turbidity and water depth in the Doñana marshes using Landsat TM and ETM+ images. Journal of Environmental Management. 90:2219-2225.https://doi.org/10.1016/j.jenvman.2007.08.021, European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762), Peer reviewed

Proyecto: EC/H2020/641762
DOI: http://hdl.handle.net/10261/285756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285756
HANDLE: http://hdl.handle.net/10261/285756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285756
PMID: http://hdl.handle.net/10261/285756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285756
Ver en: http://hdl.handle.net/10261/285756
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285756

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285758
Dataset. 2019

NDVIS DOÑANA 1984/2019

  • Díaz-Delgado, Ricardo
  • Afán, Isabel
  • Aragonés, David
  • García, Diego
  • Bustamante, Javier
Time Series of NDVI derived from Landsat TM, ETM+ & OLI in the Path 202 Row 34 (Doñana). Also, the product and its metadata are freely available to consult or downloaded in the LAST-EBD Cartography Server: http://mercurio.ebd.csic.es/imgs/, European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762), Peer reviewed

Proyecto: EC/H2020/641762
DOI: http://hdl.handle.net/10261/285758
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285758
HANDLE: http://hdl.handle.net/10261/285758
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285758
PMID: http://hdl.handle.net/10261/285758
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285758
Ver en: http://hdl.handle.net/10261/285758
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285758

Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285759
Dataset. 2019

HYDROPERIOD DOÑANA 1974/2019

  • Díaz-Delgado, Ricardo
  • Afán, Isabel
  • Aragonés, David
  • García, Diego
  • Bustamante, Javier
Time Series of annual Hydroperiods derived from Landsat MSS, TM, ETM+ & OLI in the Path 202 Row 34 (Doñana) cover the period 1974-2018., European Commission: ECOPOTENTIAL - ECOPOTENTIAL: IMPROVING FUTURE ECOSYSTEM BENEFITS THROUGH EARTH OBSERVATIONS (641762), Peer reviewed

Proyecto: EC/H2020/641762
DOI: http://hdl.handle.net/10261/285759
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285759
HANDLE: http://hdl.handle.net/10261/285759
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285759
PMID: http://hdl.handle.net/10261/285759
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285759
Ver en: http://hdl.handle.net/10261/285759
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/285759

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