Conjunts de dades de producció científica> Enginyeria Electrònica, Elèctrica i Automàtica

Dataset for "CVD growth of self-assembled 2D and 1D WS2 nanomaterials for the ultrasensitive detection of NO2"

  • Identification data

    Identifier: PC:4123
  • Authors:

    Alagh, Aanchal
  • Others:

    Subject matter: Enginyeria
    Access rights: info:eu-repo/semantics/openAccess
    Researcher identifier: 0000-0003-2466-8219
    Published by (editorial): Universitat Rovira i Virgili (URV)
    Related publications: Alagh, A., Annanouch, F. E., Umek, P., Bittencourt, C., Sierra-Castillo, A., Haye, E., Colomer, J. F., & Llobet, E. (2021). CVD growth of self-assembled 2D and 1D WS2 nanomaterials for the ultrasensitive detection of NO2. Sensors and Actuators B: Chemical, 326, 128813. https://doi.org/10.1016/j.snb.2020.128813
    Abstract: This file contains the raw data used in the paper entitled CVD growth of self-assembled 2D and 1D WS2 nanomaterials for the ultrasensitive detection of NO2 published in Sensors and Actuators: B. Chemical 326 (2021) 128813
    Departament: Enginyeria Electrònica, Elèctrica i Automàtica
    DOI: 10.5281/zenodo.5900445
    Document type: info:eu-repo/semantics/other
    Related publication's DOI: 10.1016/j.snb.2020.128813
    Repository ingest date: 2022-01-25
    Author: Alagh, Aanchal
    Keywords: Gas sensor AACVD CVD WS2 TMDs
    Research group: Metabolomics Interdisciplary Laboratory
    Dataset publication year: 2022
    Funding program action: 2019PMF-PIPF-37/Programa Martí i Franques - Universitat Rovira i Virgili; ref. RTI2018-098577-B-C21/Ministerio de Economía y Competitividad; ref. RTI2018-098577-B-C21/Ministerio de Economía y Competitividad; 798038/H2020 Marie Skłodowska-Curie Actions
    Dataset title: Dataset for "CVD growth of self-assembled 2D and 1D WS2 nanomaterials for the ultrasensitive detection of NO2"
  • Keywords:

    Enginyeria
    Gas sensor AACVD CVD WS2 TMDs
  • Documents:

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