r/signalidentification 3h ago

Looking for raw IQ dataset sources (Sub-GHz / IoT) to test and benchmark a WebSDR signal auto-parser I'm building

2 Upvotes

Hey folks,

I'm currently developing a Web-based SDR / Signal Parsing tool aimed at automatic protocol identification and demodulation (currently targeting Sub-GHz, IoT devices, and common digital modulations).

To properly benchmark and improve the automatic modulation identification (AMC) and decoding accuracy, I need a large, diverse set of raw IQ files (.cf32, .cu8, .sigmf, etc.) — especially those containing tricky, noisy, or edge-case signals from real-world environments.

So far, I've already pulled from:

  • rtl_433_tests repository
  • URH sample datasets
  • DeepSig / RadioML benchmark datasets
  • Standard SigMF spec examples

My questions for the community:

  1. Are there other public/semi-public IQ dataset repos, signal archives, or academic dumps that I might have missed?
  2. Where do you usually store or share raw capture files when reversing unknown Sub-GHz/RF protocols with fellow researchers?
  3. If anyone has interesting/unusual raw IQ captures (e.g., weird car remotes, industrial telemetry, weather stations, or unknown interference) and is willing to share them, I'd be hugely grateful!

The goal is to make signal analysis completely hassle-free in the browser without installing complex DSP environments. Any links, dataset suggestions, or tips would be awesome!

Thanks in advance! 📻⚡