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Data set for "On the Use of Pulsed UV or Visible Light Activated Gas Sensing of Reducing and Oxidising Species with WO3 and WS2 Nanomaterials"

  • Identification data

    Identifier: PC:4127
  • Authors:

    Gonzalez, Ernesto
  • Others:

    Subject matter: Enginyeria
    Access rights: info:eu-repo/semantics/openAccess
    Researcher identifier: 0000-0002-2205-4857
    Published by (editorial): Universitat Rovira i Virgili (URV)
    Related publications: González, E., Casanova-Chafer, J., Alagh, A., Romero, A., Vilanova, X., Acosta, S., Cossement, D., Bittencourt, C., & Llobet, E. (2021). On the use of pulsed uv or visible light activated gas sensing of reducing and oxidising species with wo3 and ws2 nanomaterials. Sensors, 21(11), 3736. https://doi.org/10.3390/s21113736
    Abstract: This excel file contains the raw data gathered with the measurements performed under different conditions of illumination for the different sensors. These data have been exploited in the paper "On the Use of Pulsed UV or Visible Light Activated Gas Sensing of Reducing and Oxidising Species with WO3 and WS2 Nanomaterials" DOI: 10.3390/s21113736
    Departament: Enginyeria Electrònica, Elèctrica i Automàtica
    DOI: 10.5281/zenodo.5918938
    Document type: info:eu-repo/semantics/other
    Related publication's DOI: 10.3390/s21113736
    Repository ingest date: 2022-01-29
    Author: Gonzalez, Ernesto
    Keywords: gas sensors, pulsed illumination, FFT
    Research group: Metabolomics Interdisciplary Laboratory
    Dataset publication year: 2022
    Funding program action: CP received funding from the National Institute for Health Research Biomedical Research Centre at Great Ormond Street Hospital for Children NHS Foundation Trust and University College London. MMcC is a Wellcome Senior Investigator and an NIHR Senior Investigator. MMcC received funding from Wellcome (090532, 106130, 098381, 203141, 212259), NIDDK (U01-DK105535), and NIHR (NF-SI-0617-10090). TGMV was supported by ZonMW (TOP 40–00812–98–11010). DLC was supported by the American Diabetes Association Grant 1-17-PDF-077. SFAG is supported by the Daniel B. Burke Chair for Diabetes Research and NIH Grant R01 HD058886. NVT is funded by a pre-doctoral grant from the Agència de Gestió d’Ajuts Universitaris i de Recerca (2017 FI_B 00636), Generalitat de Catalunya – Fons Social Europeu. BK received personal funding from the European Research Council Advanced Grant META-GROWTH (ERC-2012-AdG – no. 322605). BF was supported by an Oak Foundation Fellowship. RMF and RNB are supported by Sir Henry Dale Fellowship (Wellcome Trust and Royal Society grant: WT104150). ATH is supported by a Wellcome Trust Senior Investigator award (grant number 098395/Z/12/Z). DM is supported by a Canada Research Chair. DLC was supported by the American Diabetes Association Grant 1-17-PDF-077. JTL was supported by the Finnish Cultural Foundation. DIB received a KNAW Academy Professor Award (PAH/6635). MH received PhD scholarship funding from TARGET (http://target.ku.dk), The Danish Diabetes Academy (http://danishdiabetesacademy.dk) and the Copenhagen Graduate School of Health and Medical Sciences. VWVJ received funding from the Netherlands Organization for Health Research and Development (VIDI 016.136.361) and the European Research Council (ERC-2014-CoG-648916). ISF was supported by the European Research Council, Wellcome Trust (098497/Z/12/Z), Medical Research Council (MRC_MC_UU_12012/5), the NIHR Cambridge Biomedical Research Centre, the Botnar Foundation, the Bernard Wolfe Health Neuroscience Endowment and the European Community’s Seventh Framework Programme (FP7/2007-2013) project Beta-JUDO n°279153. IB acknowledges funding from Wellcome (WT206194). ES works in a unit that receives funding from the University of Bristol and the UK Medical Research Council (MC_UU_00011/1, MC_UU_00011/3). GDS works in the Medical Research Council Integrative Epidemiology Unit at the University of Bristol, which is supported by the Medical Research Council (MC_UU_00011/1). KC received funds from the French National Agency of Research, F-CRIN/FORCE.
    Dataset title: Data set for "On the Use of Pulsed UV or Visible Light Activated Gas Sensing of Reducing and Oxidising Species with WO3 and WS2 Nanomaterials"
  • Keywords:

    Enginyeria
    gas sensors, pulsed illumination, FFT
  • Documents:

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