Published February 15, 2023 | Version v1
Dataset Open

Data for "Borealis: An Advanced Digital Hardware and Software Design for SuperDARN Radar Systems"

Authors/Creators

  • 1. University of Saskatchewan
  • 2. University of Tromsø

Description

Clyde River SuperDARN data for 2022-02-07, 18:00-20:00UT.

Included are the RAWACF and FITACF files, the latter of which was used to produce Figure 6 in the partner paper: "Borealis: An Advanced Digital Hardware and Software Design for SuperDARN Radar Systems".

Data can be processed further using the Radar Software Toolkit (RST: https://github.com/SuperDARN/rst), or plotted using pyDARN (https://github.com/SuperDARN/pydarn).

Files

Files (904.4 MB)

Name Size
md5:baac7664824231711e1992bcb5070f68
55.8 MB Download
md5:a9ddd750a79939e968b3500d4d682778
848.5 MB Download