1. Data for reproducing the figures of the paper Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas Author(s): Jalalvand, Azarakhsh; Kim, SangKyeun; Seo, Jaemin; Hu, Qiming; Curie, Max; Steiner, Peter; Nelson, Andrew; Na, Yong-Su; Kolemen, Egemen Type: Dataset Issue Date: 2025
2. Data for 'Real-time capable modeling of ICRF heating on NSTX and WEST via machine learning approaches' Author(s): Sánchez-Villar, Álvaro; Bai, Z.; Bertelli, N.; Bethel, E.W.; Hillairet, J.; Perciano, T.; Shiraiwa, S.; Wallace, G.M.; Wright, J.C. Type: Dataset Issue Date: 2024
3. Predicting Resistive Wall Mode Stability in NSTX through Balanced Random Forests and Counterfactual Explanations Author(s): Piccione, Andrea; Sabbagh, Steven; Andreopoulos, Yiannis Type: Dataset Issue Date: 2021
4. Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models Author(s): Boyer, Mark D. Type: Dataset Issue Date: 2020
5. Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices Author(s): Churchill, R. M.; Tobias, B.; Zhu, Y. Type: Dataset Issue Date: 2019
6. Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX Author(s): Woods, B. J. Q.; Duarte, V. N.; Fredrickson, E. D.; Gorelenkov, N. N.; Podestà, M.; Vann, R. G. L. Type: Dataset Issue Date: 2019
7. Machine Learning Characterization of Alfvénic and Sub-Alfvénic Chirping and Correlation With Fast-Ion Loss at NSTX Author(s): Woods, B. J. Q.; Duarte, V. N.; Fredrickson, E. D.; Gorelenkov, N. N.; Podesta, M.; Vann, R. G. L. Type: Dataset Issue Date: 2019
