Published February 5, 2026 | Version 3.0
Dataset Open

SuperDARN data in netCDF format (2014-Mar)

  • 1. JHU/APL

Description

2014-Mar 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

20140301.nc.zip

Files (15.9 GB)

Name Size Download all
md5:c685ab3d003d18310149c236ce4646c2
311.1 MB Preview Download
md5:96a7b059d8bf4c8072f1743bd65dfabb
334.0 MB Preview Download
md5:977576cddfbb5693d01400094208eeef
288.9 MB Preview Download
md5:18c90692ed172de67244855bd68943fb
461.8 MB Preview Download
md5:25fa71d8492cb96297f00618006f2f52
308.3 MB Preview Download
md5:c245cf47c012da45f61dd925bfeb5fca
493.6 MB Preview Download
md5:27bb33bb06d900b28285cdac82ce744e
527.2 MB Preview Download
md5:9a918a72ac76ead47e96c9e4dcd850fd
564.8 MB Preview Download
md5:580d72d9d89b42516dc26a384ef4f42a
560.5 MB Preview Download
md5:52bd0aca845f1c731199eaa1b26499ab
561.4 MB Preview Download
md5:f31530e568383ef6e400e2ef4a78256d
528.6 MB Preview Download
md5:e8f626c2692a448cf90d8983e5c6d241
533.0 MB Preview Download
md5:ccceadd0415663dacbaa7340ec1d641b
476.1 MB Preview Download
md5:905fc0a43f224de92e6b35c9eb8f986c
496.2 MB Preview Download
md5:d75a5b4c17d274f7ce498167278de8dd
516.9 MB Preview Download
md5:aabbd5ca318883221d13f2d8adf9ed69
516.1 MB Preview Download
md5:3988e122a175d880d47327456222431c
520.4 MB Preview Download
md5:f2777876389825739d032bd9aa6e7e87
563.8 MB Preview Download
md5:32999eedb614d94455aea5496299d6cf
539.9 MB Preview Download
md5:9ef82ea15a65a804a8f86403d68edcfd
525.2 MB Preview Download
md5:c1c98b8ff93b808d7a7a73af88f1e0e9
597.3 MB Preview Download
md5:55823b10fdfaa34d13af4e3741ad37db
561.4 MB Preview Download
md5:d783c1c17283197d86ab919cb3fa7780
570.3 MB Preview Download
md5:c5e5f1c5b1a69df3a9ff9414f05bf8e0
575.4 MB Preview Download
md5:ce0f8c383dc550ca5cdf80f59276e644
571.6 MB Preview Download
md5:64ebfa6726f12ac894e76fba10b2a166
563.8 MB Preview Download
md5:0e14771da20aae7195992fa3243e0219
536.1 MB Preview Download
md5:cbd88969a9f5517dd3425c33e2f4c487
551.9 MB Preview Download
md5:4f8470efe49ff6dd3e47887dbf42b120
529.5 MB Preview Download
md5:b85d7794013193342f700e2c66d59548
585.2 MB Preview Download
md5:63f52828a8b9a7c3488592eea9b77f8a
603.1 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/102.0448 (DOI)