Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 2 de 2
Filter
Add more filters










Database
Language
Publication year range
1.
Data Brief ; 47: 109026, 2023 Apr.
Article in English | MEDLINE | ID: mdl-36936630

ABSTRACT

An updated dataset based on data from a GNSS receiver with the SCINDA software installed in Lisbon airport area are presented: the new dataset cover the entire time interval from December 2014 to February 2019, except for the original SCINDA data for 2015, which can be found in the original version of the paper. The dataset consists of 2 parts: (1) data produced by SCINDA; (2) processed data. The types of the data produced by SCINDA are described in the original paper. The processed data are the TEC, S4, ROTI and position (latitude, longitude, altitude) extracted from the SCINDA data. Since the receiver was not calibrated when installed a provisionally calibrated TEC data is provided. The processing of the original SCINDA data was done using (1) a dedicated "SCINDA-Iono" toolbox for MATLAB; (2) scripts for R. Both the MATLAB toolbox and the R scripts allow to calculate 1-min and 1-hour means for ionospheric parameters both for each of available receiver-satellite pairs and averaged over all available satellites during the analysed hour, however the toolbox and the scripts are not interchangeable.

2.
Data Brief ; 31: 105966, 2020 Aug.
Article in English | 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.

SELECTION OF CITATIONS
SEARCH DETAIL
...