Published November 18, 2025 | Version v1
Dataset Open

Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models

Authors/Creators

  • 1. ROR icon Sapienza University of Rome
  • 2. Free Flight Research Lab
  • 3. ROR icon European Space Research and Technology Centre
  • 4. Frontier Development Laboratory
  • 5. ROR icon University of New Hampshire
  • 6. ROR icon Jet Propulsion Laboratory
  • 7. NASA Headquarters
  • 8. ROR icon University of Oxford

Description

Dataset to support the work "Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models"

Description can be found in the README.md file of the dataset here: Dataset GitHub

Data is hosted publicly on AWS S3 (s3://nasa-radiant-data/helioai-datasets/ionosphere-data-public/) — no credentials required.

An example notebook loading and working with the data can be found here: Google Colaboratory Notebook

Dataset here only represents the directory structure of the dataset.

 

Files

Files (2.8 MB)

Name Size Download all
md5:cac7729bb0fd6fd582e4d55b7cfbb9e1
2.8 MB Download

Additional details

Related works

Is supplement to
Conference paper: arXiv:2511.15743 (arXiv)

Dates

Available
2026-11

Software

Repository URL
https://github.com/FrontierDevelopmentLab/2025-HL-Ionosphere
Programming language
Python
Development Status
Active