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2. Deep convolutional neural networks for multi-scale time-series classification and application to disruption prediction in fusion devices
3. MLP neural network trained on the QCL [-2, +3] Å dataset
4. MLP neural network trained on the QCL [-5, +20] Å dataset
5. Data from "Signatures of a liquid-liquid transition in an ab initio deep neural network model for water"
6. Data for reproducing the figures of the paper Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas
7. Fluorescence Reconstruction Microscopy Data: Keratinocyte (10x) Phase to Nuclei (DAPI)
8. Fluorescence Reconstruction Microscopy Data: MDCK (20x) DIC to Nuclei (DAPI) and E-Cadherin (RFP)
9. Fluorescence Reconstruction Microscopy: Complete Testing Dataset
10. Predicting Resistive Wall Mode Stability in NSTX through Balanced Random Forests and Counterfactual Explanations
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