DINData: A Windows software to reformat and clean digisonde numeric dataset

Abstract

The ionospheric numerical ionogram dataset on the Digisonde Ionogram Database (DIDBase) hosted by the Global Ionospheric Radio Observatory (GIRO) provides an important opportunity to study the bottomside ionospheric electron density profile. The study presents the description of software developed for digisonde numerical dataset that can be obtained from DIDBase. The developed DIDBase numerical data reader and cleaner named Digisonde Numeric Data (DINData) software can find missing data periods in the dataset and resequencing the date and time stamp on the dataset. The DINData software also allows users to apply settings to check the integrity of the scaled ionogram using the ionogram confidence score (CS) value. The DINData application is written in the Python programming language. The graphical user interface (GUI) of the software was developed using Kivy, a cross-platform Python GUI framework that is built on OpenGL. The Kivy framework allows the source code of the application to be packaged into various operating systems. The software currently runs on the Windows operating system and has a user-friendly graphical user interface to accept alphanumeric input entries.