Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/105881
Title: Datasets of ionospheric parameters provided by SCINDA GNSS receiver from Lisbon airport area
Authors: Barlyaeva, Tatiana V. 
Barata, Teresa 
Morozova, Anna L. 
Keywords: SCINDA GNSS receiver; Raw data; Receiver positioning; Ionosphere scintillations; TEC; SCINDA ionosphere data analysis; "SCINDA-Iono" toolbox
Issue Date: Aug-2020
Publisher: Elsevier
Project: ARTES IAP DEMOSTRATION PROJECTS 
UID/MULTI/00611/2019 
POCI-01-0145-FEDER-006922 
Serial title, monograph or event: Data in Brief
Volume: 31
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.
Description: arXiv admin note: text overlap with arXiv:1910.04044
URI: https://hdl.handle.net/10316/105881
ISSN: 23523409
DOI: 10.1016/j.dib.2020.105966
Rights: openAccess
Appears in Collections:I&D CITEUC - Artigos em Revistas Internacionais

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