1. Data for 'Machine learning enhanced predictions of ICRF heating: overcoming numerical limitations via data curation' Author(s): Sanchez-Villar, Alvaro; Bai, Zhe; Bertelli, Nicola; Bethel, E. Wes; Hillairet, Julien; Perciano, Talita; Shiraiwa, Syun'ichi; Wallace, Gregory; Wright, John Type: Dataset Issue Date: 2025
2. Juvenile Zebrafish Images In Situ for Re-Identification and Time Series Classification Author(s): Puchalla, Jason; Serianni, Aaron; Deng, Bo Type: Dataset Issue Date: 2024
3. Data from "Homogeneous ice nucleation in an ab initio machine learning model" Author(s): Weis, Jack; Panagiotopoulos, Athanassios; Debenedetti, Pablo; Car, Roberto; Piaggi, Pablo Type: Dataset Issue Date: 2022
4. 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
5. The Attention Schema Theory in an Artificial Neural Network Agent: Controlling Visuospatial Attention Using a Descriptive Model of Attention Author(s): Wilterson, Andrew; Graziano, Michael Type: Dataset Issue Date: 2021
6. Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models Author(s): Boyer, Mark D. Type: Dataset Issue Date: 2020
7. 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
8. 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
9. 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
