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contests 2026-03-09
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IONIS-AI — HF Propagation Dataset Collection

Curated datasets for HF radio propagation research, built from one of the largest amateur radio propagation datasets we are aware of — 14+ billion observations from WSPR, RBN, contest logs, DXpeditions, and PSK Reporter.

Project: https://ionis-ai.com Ham Stats: https://ham-stats.com Author: Greg Beam, KI7MT


Current Release: v1.0

11 datasets, 20 GB, 175+ million aggregated signatures

Propagation Signatures

Dataset Rows Source Format
WSPR Signatures v2 93.6M 8.9B WSPR spots (2008-2026) Parquet, CSV.gz, SQLite
RBN Signatures 67.3M 1.17B RBN spots (2009-2026) Parquet, CSV.gz, SQLite
Contest Signatures 5.7M 234M contest QSOs (2005-2025) Parquet, CSV.gz, SQLite
DXpedition Signatures 260K 3.1M DX spots (2009-2025) Parquet, CSV.gz, SQLite
PSKR Signatures 8.4M 94.7M PSK Reporter spots (Jan-Mar 2026) Parquet, CSV.gz, SQLite

Solar and Ionospheric

Dataset Description Format
Solar Indices Daily SSN, SFI, Kp (2000-2026) Parquet, CSV.gz, SQLite
DSCOVR L1 Solar wind Bz, speed, density Parquet, CSV.gz, SQLite
IRI-2020 Atlas Ionospheric foF2/hmF2/foE for 31,692 grids NumPy NPZ

Tools

Dataset Description Format
Balloon Callsigns v2 1,047 WSPR pico-balloon callsigns CSV, Parquet, SQLite
Grid Lookup 31,658 Maidenhead grid centroids CSV, Parquet, SQLite
KI7MT Test Paths 18 operator-grounded physics tests JSON

Contest Analysis Datasets

Stand-alone propagation snapshots for major HF contest weekends. Each SQLite file is self-contained with PSKR and RBN signatures, solar conditions timeline (including DSCOVR solar wind), and contest metadata.

Separate from versioned training data — contest snapshots are analysis artifacts, never used for model training.

Contest Date PSKR Sigs RBN Sigs Solar Story Format
ARRL DX CW 2026 Feb 21-22 1.68M 909K Kp 1.0→5.33, G1 storm SQLite
ARRL DX SSB 2026 Mar 7-8 1.81M 130K Kp 1.0→4.67, storm building SQLite

New contest datasets are published within one week of each major contest. See contests/README.md for the full schema, contest calendar, and analysis details.


Who Is This For

  • PhD researchers studying ionospheric propagation (greyline, seasonal, solar cycle)
  • Propagation analysts who need aggregated band-opening data by grid pair
  • Contesters analyzing historical band conditions
  • HamSCI / CEDAR academics needing solar-correlated observation datasets
  • AI/ML researchers looking for labeled propagation data for model training

Data Quality

  • Callsigns stripped — no individual operator activity recoverable
  • Balloon contamination filtered (velocity detection + type-2 telemetry)
  • Ground-wave paths excluded (>500 km ionospheric skip only)
  • Solar indices joined at 3-hour resolution
  • SHA-256 checksums in every directory

License

Most datasets are CC BY 4.0 (free use with attribution). Solar indices include SILSO sunspot numbers (CC BY-NC 4.0). See CITATIONS.md and per-directory LICENSE.md files for details.


IONIS-AI Project — https://ionis-ai.com Greg Beam, KI7MT

Source: README.md, updated 2026-03-09