The SPIn4D project (Spectropolarimetric Inversion in Four Dimensions with Deep Learning) develops neural networks to help prepare for the huge amount of solar data coming from the NSF-funded Inouye Solar Telescope, the most powerful solar telescope in the world.
SPIn4D's data release one is 109TB of simulated small-scale dynamo actions accompanying the project's first paper. A corresponding Jupyter notebook illustrates how to access and use the data via the OSDF using the Pelican clients. The dataset is also accessible via the National Data Platform.
For more information, see the accompanying spotlight article.