Published November 18, 2025
| Version v1
Dataset
Open
Connecting the Dots: A Machine Learning Ready Dataset for Ionospheric Forecasting Models
Authors/Creators
-
1.
Sapienza University of Rome
- 2. Free Flight Research Lab
-
3.
European Space Research and Technology Centre
- 4. Frontier Development Laboratory
-
5.
University of New Hampshire
-
6.
Jet Propulsion Laboratory
- 7. NASA Headquarters
-
8.
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