five

DFN samples

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NIAID Data Ecosystem2026-05-02 收录
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https://zenodo.org/record/11517665
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DFN Generation Samples through WGAN-GP This dataset contains DFN generation samples through wasserstein generative adversarial network with gradient penalty (WGAN-GP). WGAN-GP models were trained with synthetic DFNs that follow the widely acknowledged statistical distributions of fracture location, length and orientation, and realistic DFNs geologically mapped from outcrops. Generation Samples of Synthetic DFN The file 'Synthetic.zip' contains generation samples of the synthetic DFNs. The subfolders within it present the analysis results (including fracture location, length and orientation) of the training data ('groundtruth') and generation data (from different latent dimensionalities, i.e, 4, 8, 16 and 32). groundtruth.npz: analysis result of the training data. 4.npz: analysis result of the generation data when latent dimensionality is 4. 8.npz: analysis result of the generation data when latent dimensionality is 8. 16.npz: analysis result of the generation data when latent dimensionality is 16. 32.npz: analysis result of the generation data when latent dimensionality is 32. Generation Samples of Outcrop DFN The file 'Outcrop.zip' contains generation samples of the realistic DFNs mapped from outcrops. The subfolders within it present generation results of different outcrop cases (from different latent dimensionalities, i.e, 2, 4, 8 and 16). folder 'groundtruth': samples of the training data. folder '2': generation samples when latent dimensionality is 2. folder '4': generation samples when latent dimensionality is 4. folder '8': generation samples when latent dimensionality is 8. folder '16': generation samples when latent dimensionality is 16.
创建时间:
2024-06-08
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