Published February 4, 2026 | Version 3.0

SuperDARN data in netCDF format (2012-Jul)

  • 1. JHU/APL

Description

2012-Jul SuperDARN radar data in netCDF format. These files were produced using version 3.0 of the public FitACF algorithm, using the AACGM v2 coordinate system. Cite this dataset if using our data in a publication.

The RST is available here: https://github.com/SuperDARN/rst

The research enabled by SuperDARN is due to the efforts of teams of scientists and engineers working in many countries to build and operate radars, process data and provide access, develop and improve data products, and assist users in interpretation. Users of SuperDARN data and data products are asked to acknowledge this support in presentations and publications. A brief statement on how to acknowledge use of SuperDARN data is provided below.

Users are also asked to consult with a SuperDARN PI prior to submission of work intended for publication. A listing of radars and PIs with contact information can be found here: (SuperDARN Radar Overview)

Recommended form of acknowledgement for the use of SuperDARN data:

'The authors acknowledge the use of SuperDARN data. SuperDARN is a collection of radars funded by national scientific funding agencies of Australia, Canada, China, France, Italy, Japan, Norway, South Africa, United Kingdom and the United States of America.'

Files

20120701.nc.zip

Files (9.1 GB)

Name Size
md5:91947fc3766154263b56449f7f8fe27b
296.9 MB Preview Download
md5:576257196f343fdf5114ea000f96cec5
330.1 MB Preview Download
md5:18cf97f8d8cd7a0287a724c9d324f23f
297.7 MB Preview Download
md5:51c2e1c3a76b75392c9f76410f4a049c
365.7 MB Preview Download
md5:2eee7ac0a69a77f52fe21326eb7b31e8
320.5 MB Preview Download
md5:9c180d34cdc8a4d38759f91519763cad
334.3 MB Preview Download
md5:46b2a27012b7a906b080765e8a15450a
247.9 MB Preview Download
md5:539b7c56bba32db612434f546c1a1222
361.9 MB Preview Download
md5:0d6dc0485a5c4ae8cd1802bf7c9d0e91
254.3 MB Preview Download
md5:faed51796b8bd005687a2798590ebe4c
208.5 MB Preview Download
md5:7187a1b6133c3a88d7d393279dd4ccb3
287.2 MB Preview Download
md5:a9c2d280613c46ee9630abe2894fe7fc
281.7 MB Preview Download
md5:bdd07121698fcdc4a1faf3b562310150
270.6 MB Preview Download
md5:3c39dea360b594ef1b0781af40ee4178
277.5 MB Preview Download
md5:626c9c57243286d779bcac7d19fd5187
262.1 MB Preview Download
md5:c6423a4ba879d44fda85dae371619a48
191.4 MB Preview Download
md5:349b895e3c88e936c5eb65babf8bb18d
173.9 MB Preview Download
md5:5f2ca1818040ef0cd0d258238f710e4c
221.2 MB Preview Download
md5:3c8ae2ebdd85cae1e0c5c7c46a17e1eb
283.8 MB Preview Download
md5:5a27c8c9c97f01f93b511788ec718ebb
288.9 MB Preview Download
md5:24c2503d4b0b8b9e80622cd80ebd4813
265.2 MB Preview Download
md5:90559565a3e2af1872cb8fd1b0d50db0
323.1 MB Preview Download
md5:c9d4a21f72e5e33fd589697e1f85e0df
343.6 MB Preview Download
md5:7a821116eba62478606d0a9f96ea65fa
301.2 MB Preview Download
md5:e0f36aea91612096b94bc3f10d863157
319.7 MB Preview Download
md5:6d8d4ac2f442768725812b137094f5ba
343.2 MB Preview Download
md5:026667574d21838f4314a08a3b0920c2
432.6 MB Preview Download
md5:cfd994352bff898de45e45fd2125da23
336.0 MB Preview Download
md5:bb7250bd67dd1926af7005f0b2650327
303.5 MB Preview Download
md5:bf11c44a7a6e432a3eaf74fe9997fe1d
295.6 MB Preview Download
md5:da3eba6230bd74aff8afbb327cd785d1
271.6 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0450 (DOI)