SuperDARN Theses & Dissertations
This repository contains an archive of SuperDARN-related theses and dissertations.
superdarn_theses.txt file is in the following format:
Author (Last Name, First Name [Middle Initials]) Year (YYYY) Title Advisor(s) (First Name [Middle Initials] Last Name) Affiliation(s) (Institution, Country) Degree URL
Note that the URL or other fields can be left empty to indicate missing information, and a blank line should be left between each entry.
Example programs written in C are available in the
code directory to demonstrate
how one might parse the
superdarn_theses.txt file and generate html code suitable
for displaying on a webpage.