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Help wanted identifying hams in Swarm-E (e-POP) RRI data

<p>In the spirit of making&nbsp;data from the&nbsp;<a href="https://epop.phys.ucalgary.ca/rri/">Radio Receiver Instrument (RRI)</a>&nbsp;onboard <a href="http://www.esa.int/Our_Activities/Observing_the_Earth/Swarm/Swarm_trio_becomes_a_quartet">Swarm-E</a> (formally known as&nbsp;<a href="https://epop.phys.ucalgary.ca/">e-POP</a>)&nbsp;more accessible to the ham radio community via the Ham Radio Science Citizen Investigation&nbsp;(<a href="http://hamsci.org/about-hamsci">HamSCI</a>), we have converted RRI&#39;s data into a &quot;.raw&quot; format so that it can be ingested into open source software such&nbsp;as&nbsp;<a href="http://gqrx.dk/">Gqrx</a>&nbsp;or&nbsp;<a href="https://www.gnuradio.org/">GNU Radio</a>.&nbsp; We have done this for all RRI data related to the 2015, 2017, and 2018 ARRL Field Days.</p> <p>We encourage everyone to help us identify hams in RRI&#39;s signal.&nbsp; You can use the Gqrx tool discussed here, or you can use your own technique.&nbsp; If you decode a ham&#39;s call sign, if you would like to share your technique, or if you have any comments or suggestion&nbsp;<a href="mailto:perry@phys.ucalgary.ca?subject=HamSCI%3A%20RRI%20ARRL%20%22raw%22%20data%20dump">contact us</a>&nbsp;and let us know!&nbsp;</p> <p><strong>Data Rules of the Road</strong></p> <p>Please acknowledge the HamSCI project and Gareth&nbsp;Perry&nbsp;when using data from this archive in presentations and publications.</p> <p><strong>Swarm-E&nbsp;RRI</strong></p> <p>Swarm-E RRI is a digital radio receiver with 4 3-m monopole antennas.&nbsp; In most cases, the monopoles are electronically configured into a crossed-diople configuration.&nbsp; In this configuration, RRI records I/Q samples for the two dipoles.&nbsp; RRI has a sampling rate of 62500.33933 Hz, and a ~40 kHz bandpass, and can be tuned to anywhere between 10 Hz and 18 MHz.&nbsp; More information on Swarm-E&nbsp;RRI can be found in the&nbsp;<a href="https://link.springer.com/article/10.1007/s11214-014-0130-y">Swarm-E RRI instrument paper</a>&nbsp;or Gareth Perry&#39;s recent&nbsp;<a href="http://hamsci.org/article/field-day-cassiope-2015-results-published-radio-science">Radio Science article</a>.</p> <p><strong>Data Format</strong></p> <p>Each data file contains raw 32 bit complex&nbsp;I/Q samples&nbsp;for a given RRI dipole at a given frequency.&nbsp; The samples are interleaved, e.g., IQIQIQIQ... The data files do not contain any metadata.&nbsp; Any information regarding the time, frequency, and corresponding RRI dipole is in the file name.&nbsp;&nbsp;</p> <p><strong>Filename Format</strong></p> <p>The filename format gives information about the time and data of the recording, the tuned frequency, and which of RRI&#39;s dipoles the recording corresponds too.&nbsp; For example,&nbsp;<em>gqrx_20150628_011614_3525000_62500_RRI_Dipole1&nbsp;</em>contains data recorded on Dipole 1, starting at 01:16:14 UT on June 28, 2015, at 3525000 Hz (3.525 MHz), at a sampling rate of 62500 Hz (RRI&#39;s 62500.33933 Hz sampling rate).</p> <p><strong>Gqrx</strong></p> <p>We have opted to convert the data into the .raw format so that it can be ingested into&nbsp;<a href="http://gqrx.dk/">Gqrx</a>.&nbsp; There are other ways of analyzing RRI&#39;s data; this is just one way which we felt was as easy first step.&nbsp; We are open to posting about other techniques on the HamSCI site as well.&nbsp; To help get started with Gqrx, we have developed a&nbsp;<a href="http://hamsci.org/resource/how-play-rri-raw-iq-file-gqrx"><em>How to play an RRI raw IQ file on Gqrx</em></a>&nbsp;page.</p>

ShareScore

36/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
8
Harmonization
4
Access
16
Reuse readiness
8
Engagement
0

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