1. 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
2. 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
3. Data from "Signatures of a liquid-liquid transition in an ab initio deep neural network model for water" Author(s): Gartner, Thomas III; Zhang, Linfeng; Piaggi, Pablo; Car, Roberto; Panagiotopoulos, Athanassios; Debenedetti, Pablo Type: Dataset Issue Date: 2020
4. 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
5. Fluorescence Reconstruction Microscopy Data: Keratinocyte (10x) Phase to Nuclei (DAPI) Author(s): LaChance, Julienne; Cohen, Daniel Type: Dataset Issue Date: 2020
6. Fluorescence Reconstruction Microscopy Data: MDCK (20x) DIC to Nuclei (DAPI) and E-Cadherin (RFP) Author(s): LaChance, Julienne; Cohen, Daniel Type: Dataset Issue Date: 2020
7. Fluorescence Reconstruction Microscopy: Complete Testing Dataset Author(s): LaChance, Julienne; Cohen, Daniel Type: Dataset Issue Date: 2020
8. MLP neural network trained on the QCL [-2, +3] Å dataset Author(s): Correa Hernandez, Andres; Gmachl, Claire F Type: Dataset Issue Date: 2024
9. MLP neural network trained on the QCL [-5, +20] Å dataset Author(s): Correa Hernandez, Andres; Gmachl, Claire F. Type: Dataset Issue Date: 2024
10. 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
11. 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
12. 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
13. 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
14. Toward fusion plasma scenario planning for NSTX-U using machine-learning-accelerated models Author(s): Boyer, Mark D. Type: Dataset Issue Date: 2020
