Published January 25, 2026 | Version 3.0
Dataset Open

SuperDARN data in netCDF format (2005-May)

  • 1. JHU/APL

Description

2005-May 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

20050501.nc.zip

Files (2.7 GB)

Name Size Download all
md5:a9fb562af86a123c4cbda2e5c326ae32
38.6 MB Preview Download
md5:d33128ba11d0254b88de4624183937e1
65.4 MB Preview Download
md5:55d9b92c80d1e376eba139369ff77882
85.4 MB Preview Download
md5:c374316b45edaf38d2a0028d23997bdb
110.1 MB Preview Download
md5:aa25520fc8d971f0e47ee1e525d22a5d
132.9 MB Preview Download
md5:29fd799fb9c9abe0247566cc3630255b
148.3 MB Preview Download
md5:78a6d12a197ce3c0a8e58172c023ce02
124.1 MB Preview Download
md5:9f30343316c32c5a6e452926d475617a
95.3 MB Preview Download
md5:dd1b74d8fa2c065208f3f533fa92c55b
84.5 MB Preview Download
md5:76a9993fd48e0447e4182c787b557bef
64.4 MB Preview Download
md5:579312851964fa5210dcda768bdbb0dd
71.9 MB Preview Download
md5:a938ca88edfc15df9cbc1185198b6960
93.8 MB Preview Download
md5:43d05d7496799d1ed6a4da056c4ec8a5
51.5 MB Preview Download
md5:3169c3ccf461086809540471be7df62d
74.7 MB Preview Download
md5:24b6de0d3d96ce3c5475092d017546fb
35.6 MB Preview Download
md5:45965c8f823c06df779346c51b857ceb
44.3 MB Preview Download
md5:978e80b8ab5025cc265728f4e4d84fea
43.3 MB Preview Download
md5:a8e5191a68405d6088381048e138c725
31.0 MB Preview Download
md5:4f4b2810f233316b47138c73560d97a4
71.8 MB Preview Download
md5:19eeb0da86039b4f17a4a3eea0a15cf3
60.2 MB Preview Download
md5:47fd724fc77f1b63899783994c39fd5a
85.6 MB Preview Download
md5:79e688d8c8107a53e0f35fa92bcc71bf
46.6 MB Preview Download
md5:2ce3e86fad4bdd79b1e0ef51dd1c788a
120.8 MB Preview Download
md5:00aee9f5536a49754564e2bf98cc96d5
131.1 MB Preview Download
md5:125ccdf471028d8ff44e3149b60fab3d
142.8 MB Preview Download
md5:3dd45a14bc0380f87a560f20ebfa8a95
158.1 MB Preview Download
md5:94fe719a0a6d8767a2feb05da2232a69
151.5 MB Preview Download
md5:9ccc509ec0b1b46d89b9991f7bbc3914
172.4 MB Preview Download
md5:b72206d382b5cc8528082f24512c5f9a
88.5 MB Preview Download
md5:9ea0c2f4167a1e02349ad624b1f71a22
51.8 MB Preview Download
md5:8d4f8dac3e4b4f6bf885c65a9e8d3a80
73.7 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0457 (DOI)