Published February 2, 2026 | Version 3.0
Dataset Open

SuperDARN data in netCDF format (2007-Aug)

  • 1. JHU/APL

Description

2007-Aug 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

20070801.nc.zip

Files (2.7 GB)

Name Size Download all
md5:99c80f08c1490c94d74a6297741dd63f
84.5 MB Preview Download
md5:43015d29727368dc992e675f99417e0d
95.4 MB Preview Download
md5:ee47a2e6eff8e8ec2dfa7b626c5d50b1
103.9 MB Preview Download
md5:db7a1fd40f84093b097dc2b958b3bfc0
118.4 MB Preview Download
md5:b56dc3e65fdd9423705ff1f369f9527a
138.6 MB Preview Download
md5:3f3e8fb8088d915fab19944138f2b689
114.4 MB Preview Download
md5:4960cc9f8504ea15f806bb84036f8741
56.5 MB Preview Download
md5:af078cc2cd6a5ca6d2dfb3792c05888a
58.4 MB Preview Download
md5:c16b169ada9c79856aefc5c296621a65
64.6 MB Preview Download
md5:78ff557d4d757005e74e05510ba217ef
57.8 MB Preview Download
md5:9d811d3539d09e2e95b3c79ef00d250c
67.6 MB Preview Download
md5:a9b156c4195aff6a476febd307e88129
71.8 MB Preview Download
md5:426d0fbf9a38716b74a666f0c7a2d26f
55.1 MB Preview Download
md5:da13141168f93e2316d0dc7f36dfd0da
71.3 MB Preview Download
md5:223bdfe71284dee530bf3ff5df3732d4
57.2 MB Preview Download
md5:c77e845f8d2ad9c4a53649d9c4959918
109.8 MB Preview Download
md5:e82b3739f74daa5aed381f1e42a50b7b
123.3 MB Preview Download
md5:701faf5f5484b815830ef44c9329fc60
51.2 MB Preview Download
md5:078e466dd4d6314fcdbbe6458da7ea44
85.1 MB Preview Download
md5:51630b37c3635f7754f8ef09284c3fce
69.3 MB Preview Download
md5:44ef2b0f16a168d408ab277872830c1d
101.2 MB Preview Download
md5:e23f08447ce7015a845cfdadc79e59d0
80.6 MB Preview Download
md5:3cd29738ae3db1368eb4077f47951fc0
86.6 MB Preview Download
md5:b91f750cb355806e47005ed3e89467f6
151.5 MB Preview Download
md5:73f6230de0d6be0868eff1d227a811bc
140.9 MB Preview Download
md5:67750c53704d892a68b4545fb1b6d22f
78.2 MB Preview Download
md5:1714946212c43818c1a8d620c9db3107
56.7 MB Preview Download
md5:57c856110688a7259e6e996e8a30dffc
78.5 MB Preview Download
md5:d591ae7d2628cbb5c29ec2b2805af7e9
87.6 MB Preview Download
md5:dc1e6b6d4263fdd2f85bfbaa05e1865a
59.1 MB Preview Download
md5:76ec2a345d35d7eb0968017e3b6fb49e
79.9 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0455 (DOI)