Published October 10, 2025 | Version v2.0
Software Open

SuperDARN/pyDARNio: pyDARNio v2.0

  • 1. University of Saskatchewan
  • 2. Dartmouth College
  • 3. The University Centre in Svalbard
  • 4. John Hopkins University
  • 5. US Naval Research Laboratory
  • 6. Virginia Tech

Description

Features

  • Faster DMAP I/O
  • snd DMAP file format now supported
  • srng field in DMAP files now accepted
  • Borealis v1.0 file format now supported
  • DMAP I/O mirrors RST behaviour by default, also supports strict reading (i.e. fail on corrupt file), reading from bytes, automatic bz2 decompression, and serializing records to either bytes or directly to file in the DMAP format.

Files

SuperDARN/pyDARNio-v2.0.zip

Files (298.1 kB)

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md5:7e71cdfb76bf5450d4fe7dbc4cd750dc
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Additional details

Related works

Is supplement to
Software: https://github.com/SuperDARN/pyDARNio/tree/v2.0 (URL)