Machine Learning-Ready Data Sets in Heliophysics
This presentation by Viacheslav (Slava) Sadykov explores the importance of Machine Learning-Ready Data Sets in Heliophysics, highlighting key principles and examples. It delves into data preparation challenges in machine learning, emphasizing the significance of clean, complete, and accessible data
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Advancements in Heliophysics Archives and TAP Updates
A comprehensive overview of recent developments in Heliophysics Archives including HAPI implementation, server operations, and plans for extending services to work with various data repositories. Updates on the latest version of TAP supporting ADQL 2.1, compliance ratings, and future plans to upgrad
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Unveiling the Mysteries of Solar Fields and Flows
Delve into the realm of solar physics with COFFIES, a Heliophysics DRIVE Science Center focused on understanding the dynamic interplay between solar flow fields and magnetic forces. By studying plasma motions, magnetic field interactions, and emergence of active regions, COFFIES aims to revolutioniz
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Lessons Learned from Publishing Executable Papers in Heliophysics
Addressing challenges in reproducibility and open science, this presentation discusses the innovative concept of executable papers in heliophysics research. By integrating text, data, and code, executable papers enable readers to replicate each step leading to research conclusions, overcoming tradit
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