Datasets of ionospheric parameters (total electron content, scintillation indices, positioning errors) from Lisbon airport area for 2014-2019

Here we present datasets based on data from a GNSS receiver with the SCINDA software installed in Lisbon airport area. The installed equipment was a NovAtel EURO4 with a JAVAD Choke-Ring antenna. The presented data consists of 2 parts: (1) data produced by SCINDA; (2) processed data. The presented datasets cover the time interval from December 2014 to February 2019, except for the SCINDA data for 2015, which can be found in a companion dataset "Datasets of ionospheric parameters provided by SCINDA GNSS receiver from Lisbon airport area" (DOI: 10.17632/kkytn5d8yc.1). All the data are in an archived format and have 1 min cadence.

The data produced by SCINDA include the general messages on quality of records (*.msg), random number generator files (*.rng), raw observables as the signal-to-noise (S/N) ratios, pseudoranges and phases (*.obs), receiver position information (*.psn), ionosphere scintillations monitor (*.ism) and ionospheric parameters: total electron content (TEC), rate of change of TEC index (ROTI), and the scintillation index S4 (*.scn).

The processed data are the TEC, S4, ROTI and position (latitude, longitude, altitude) extracted from the SCINDA data and processed. In general, the processing includes a removal of outliers and the data from non-GPS satellites, a replacement of missing data by "NA", an application of the elevation mask to the TEC data (≥ 15º). Since the receiver was not calibrated when installed we also provide a provisionally calibrated TEC data. 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.

The provided datasets can be of interest for the GNSS and ionosphere scientific communities.