Published February 10, 2026 | Version 3.0
Dataset Open

SuperDARN data in netCDF format (2018-May)

  • 1. JHU/APL

Description

2018-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

20180501.nc.zip

Files (8.9 GB)

Name Size Download all
md5:ed7588864e94ef324e149cebbd423470
309.8 MB Preview Download
md5:a4fae506394abfd2b8c341aafb119877
285.3 MB Preview Download
md5:2ca23f5dc66e032e582be14babe74458
298.7 MB Preview Download
md5:a79ceb6ba58b68eb8d3394dc730b534f
293.2 MB Preview Download
md5:79131ac0e94d9202f05266d53cafda95
331.4 MB Preview Download
md5:64596f939083e3f5e57b08e114b97fe0
275.3 MB Preview Download
md5:ade0b99be1f3e72c3594d3e18d93b44e
250.7 MB Preview Download
md5:b5cc4a694dbaabd05e4fedd9914d1621
242.0 MB Preview Download
md5:12c3ace4b15d8f560c21055c49e8a0a8
237.2 MB Preview Download
md5:1ddeacf70aa4b9b7bb5be687b434fe03
227.3 MB Preview Download
md5:b39f96c7a2c8153981c58432e04e6db6
243.8 MB Preview Download
md5:c7e3a59231a2078b77995891a403a9cf
198.0 MB Preview Download
md5:d0dabda0bbe2b04a462a1de335999523
244.1 MB Preview Download
md5:e94c751bf29c89ed9ea645b071d3deac
250.0 MB Preview Download
md5:80884f35dda62f8ff7ac4154cbc6df59
270.3 MB Preview Download
md5:23ca2f98db2aee2f3ec98d81e79b9507
292.2 MB Preview Download
md5:62258bf9b70b3763d6c3cd2bd5e8c3d3
276.3 MB Preview Download
md5:b45040274dd8fca698c252087f7d2e0e
238.8 MB Preview Download
md5:9379e0e7bb75c7a61c54d008318da5b1
267.4 MB Preview Download
md5:b9d893530a85461d42c859839328ea30
276.0 MB Preview Download
md5:45003f65d40d09c0b72fc07a9eca4595
263.4 MB Preview Download
md5:ff8c0b2a56d0eb861c9d394d8b06518c
316.9 MB Preview Download
md5:2f66edcfd559f5e81a23aca65abf4b83
273.2 MB Preview Download
md5:c5634b14bc22a44306e90884374b1645
286.7 MB Preview Download
md5:b62c48d3d08b9afdb3e656dbe60f1d2f
343.2 MB Preview Download
md5:bae2c593ae81e55e4e55332ec067e707
370.8 MB Preview Download
md5:09146e5ef9c3dc4308704ef21cab0424
356.0 MB Preview Download
md5:ed2ce45a87208b08ac67e033c9b9b56c
365.3 MB Preview Download
md5:996f49054563c28e1b5193f651e1d24b
348.3 MB Preview Download
md5:5376eb2d4b693ab13f2a615fe53edfb1
328.8 MB Preview Download
md5:52e73457a4dd0abd3b68f1d0e01e5e1e
358.8 MB Preview Download

Additional details

Related works

Is derived from
Dataset: 10.20383/101.0290 (DOI)