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Datasets of ionospheric parameters provided by SCINDA GNSS receiver from Lisbon airport area.
Barlyaeva, Tatiana; Barata, Teresa; Morozova, Anna.
Afiliação
  • Barlyaeva T; Center for Earth and Space Research of the University of Coimbra, University of Coimbra, Almas de Freire, Sta. Clara, 3040-004 Coimbra, Portugal.
  • Barata T; Center for Earth and Space Research of the University of Coimbra, University of Coimbra, Almas de Freire, Sta. Clara, 3040-004 Coimbra, Portugal.
  • Morozova A; Center for Earth and Space Research of the University of Coimbra, University of Coimbra, Almas de Freire, Sta. Clara, 3040-004 Coimbra, Portugal.
Data Brief ; 31: 105966, 2020 Aug.
Article em En | MEDLINE | ID: mdl-32685630
ABSTRACT
Here we present datasets provided by a SCINDA GNSS receiver installed in the Lisbon airport area from November of 2014 to July of 2019. The installed equipment is a NovAtel EURO4 with a JAVAD Choke-Ring antenna. The data are in an archived format and include the general messages on quality of records (*.msg), RANGE files (*.rng), raw observables as the signal-to-noise (S/N) ratios, pseudoranges and phases (*.obs), receiver position information (*.psn), ionosphere scintillations monitor (ISMRB; *.ism) and ionospheric parameters total electron content (TEC), rate of change of TEC index (ROTI), and the scintillation index S4 (*.scn). The presented data cover the full 2015 year. The raw data are of 1-min resolution and available for each of the receiver-satellite pairs. The processing and the analysis of the ionosphere scintillation datasets can be done using a specific "SCINDA-Iono" toolbox for the MATLAB developed by T. Barlyaeva in 2019 and available online via MathWorks File Exchange system. The toolbox calculates 1-h means for ionospheric parameters for each of the available receiver-satellite pairs and averaged over all available satellites during the analyzed hour. Here we present the processed data for the following months in 2015 March, June, October, and December. The months were selected as containing most significant geomagnetic events of 2015. The 1-h means for other months can be obtained from the raw data using the aforementioned toolbox. The provided datasets are interesting for the GNSS and ionosphere based scientific communities.
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Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Portugal

Texto completo: 1 Bases de dados: MEDLINE Idioma: En Revista: Data Brief Ano de publicação: 2020 Tipo de documento: Article País de afiliação: Portugal