PEDS datasets and figure data

Datasets:

• y_fisher25.csv: reaction-diffusion equation; the thermal flux corresponding to structures with 25 holes
• X_fisher25.csv: reaction-diffusion equation; the side lengths of the 25 holes in the structures
• y_fisher16.csv: reaction-diffusion equation; the thermal flux corresponding to structures with 16 holes
• X_fisher16.csv: reaction-diffusion equation; the side lengths of the 16 holes in the structures
• y_fourier25.csv: diffusion equation; the thermal flux corresponding to structures with 25 holes
• X_fourier25.csv: diffusion equation; the side lengths of the 25 holes in the structures
• y_fourier16.csv: diffusion equation; the thermal flux corresponding to structures with 16 holes
• X_fourier16.csv: diffusion equation; the side lengths of the 16 holes in the structures
• y_maxwell10.csv: Helmholtz equation; the complex transmission through the 10-layered structure
• X_maxwell10.csv: Helmholtz equation; the side lengths of the 10 holes in each layer of the structure followed by a one-hot encoding of the frequency [0.5, 0.75, 1]

Figure data:

• nb_trainingpoints_Fig1.csv: number of training points in the dataset–x-coordinates (Fig 1, S1, and S2)
• baseline_alFig1.csv: error of the baseline ensemble using a dataset that was generated using active learning (Fig 1, S1, and S2)
• baseline_noalFig1.csv: error of the baseline ensemble using a dataset that was sampled uniformly at random (Fig 1, S1, and S2)
• baseline_single_noalFig1.csv: error of the baseline (single model) using a dataset that was sampled uniformly at random (Fig 1, S1, and S2)
• PEDS_alFig1.csv: error of the PEDS ensemble using a dataset that was generated using active learning (Fig 1, S1, and S2)
• PEDS_noalFig1.csv: error of the PEDS ensemble using a dataset that was sampled uniformly at random (Fig 1, S1, and S2)
• PEDS_single_noalFig1.csv: error of the PEDS (single model) using a dataset that was sampled uniformly at random (Fig 1, S1, and S2)
• SM10_ALFigS1.csv: error of the space mapping ensemble with a resolution of 10 using a dataset that was generated using active learning (Fig S1)
• SM10_noALFigS1.csv: error of the space mapping ensemble with a resolution of 10 using a dataset that was sampled uniformly at random (Fig S1)
• SM10_single_noALFigS1.csv: error of the space mapping (single model) with a resolution of 10 using a dataset that was sampled uniformly at random (Fig S1)
• SM20_single_noalFigS2.csv: error of the space mapping (single model) with a resolution of 20 using a dataset that was sampled uniformly at random (Fig S2)
• SM20_ALFigS2.csv: error of the space mapping ensemble with a resolution of 20 using a dataset that was generated using active learning (Fig S2)
• SM20_noALFigS2.csv: error of the space mapping ensemble with a resolution of 20 using a dataset that was sampled uniformly at random (Fig S2)
• resolutionFigS4.csv: resolution of the middle fidelity model–x-coordinate (Fig. S4)
• error_midfidFigS4.csv: error of the middle fidelity model (Fig. S4)