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        <identifier>oai:figshare.com:article/34041801</identifier>
        <datestamp>2026-10-01T09:37:37Z</datestamp>
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        <oai_dc:dc xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"  xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Processed seismic survey data for validating DDPM</dc:title>
          <dc:creator>Jun Su (25155612)</dc:creator>
          <dc:creator>Ryoichiro Agata (9325472)</dc:creator>
          <dc:creator>Gou Fujie (16801691)</dc:creator>
          <dc:creator>Yasuyuki Nakamura (16801685)</dc:creator>
          <dc:subject>Seismology and seismic exploration</dc:subject>
          <dc:subject>seismic airgun</dc:subject>
          <dc:description>&lt;p dir="ltr"&gt;This record contains the processed inputs, model outputs, logs, and test products supporting Su, Agata, Fujie &amp; Nakamura, "&lt;i&gt;Noise reduction for wide-angle OBS record sections with a denoising diffusion probabilistic model&lt;/i&gt;" (JGR: Machine Learning and Computation, in revision). Version 2 adds the ensemble-averaged DDPM outputs, the leave-one-pass-out (LOPO) references and outputs, the self-similarity and baseline test products, the direct U-Net checkpoint, and the environment files requested during review.&lt;/p&gt;&lt;p dir="ltr"&gt;&lt;br&gt;&lt;/p&gt;&lt;p dir="ltr"&gt;All waveform arrays are stored in .npz files written by the Profiles class and can be read and visualized with the code archived at DOI: 10.5281/zenodo.20922233 (source code, trained DDPM checkpoint model-final.pt, GPL-3.0). An example of reading these files is given in the Jupyter notebook resultview_standalone.ipynb in that record. The raw SEG-Y survey data are distributed by the JAMSTEC Seismic Survey Database (DOI: 10.17596/0002069; cruise KH-24-JE03, line NT24, OBS 1–40, passes NT24-OBS1–5 and NT24-MCS1–2; cruise KR09-06, line A2, OBS 10).&lt;/p&gt;&lt;h3 dir="ltr"&gt;Training logs and previews&lt;/h3&gt;&lt;ul&gt;&lt;li&gt;converge.log — L1-L2 hybrid loss for the training set at every epoch (Fig. 2c).&lt;/li&gt;&lt;li&gt;validate.log — L1-L2 hybrid loss for the validation set, evaluated every 10 epochs (Fig. 2c).&lt;/li&gt;&lt;li&gt;result_images.tar — image previews of all 40 validation record sections (input, DDPM output, diversity-stacked reference).&lt;/li&gt;&lt;/ul&gt;&lt;h3 dir="ltr"&gt;Single-run DDPM outputs (Figs. 1–7, Supplementary Figs. S1–S6)&lt;/h3&gt;&lt;ul&gt;&lt;li&gt;result-test-move80-allshot.out.npz — 200-m validation set, 8 hold-out stations × 5 passes (40 sections). Index catalog below.&lt;/li&gt;&lt;li&gt;result-mcs-move80-allshot.out.npz — 50-m Noto test set (NT24-MCS), source-location-matched one-in-four shots, 40 stations.&lt;/li&gt;&lt;li&gt;result-nwp-move80-allshot.out.npz — NW Pacific test set (KR09-06, OBS 10), resampled to 250 Hz, traces 450–922.&lt;/li&gt;&lt;/ul&gt;&lt;h3 dir="ltr"&gt;Ensemble-averaged DDPM outputs (Table 1 DDPM column, Supplementary Table S2)&lt;/h3&gt;&lt;p dir="ltr"&gt;Reconstructions averaged over 20 independent ancestral samples, in the same Profiles format as the single-run files:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;ensemble.test.avgout.npz — scheme A (200-m validation).&lt;/li&gt;&lt;li&gt;ensemble.mcs.avgout.npz — scheme B (50-m Noto).&lt;/li&gt;&lt;li&gt;ensemble.nwp.avgout.npz — scheme C (NW Pacific).&lt;/li&gt;&lt;/ul&gt;&lt;h3 dir="ltr"&gt;Repeated-sampling (self-similarity) test (Supplementary Section S3, Table S1)&lt;/h3&gt;&lt;ul&gt;&lt;li&gt;self_similarity_test.tar.gz — the 20 per-run rebuild.out snapshots for the validation set, per-run metric tables (masked/unmasked RMS, hybrid loss, AIC and CC delays and misfit ratios), and the pairwise cosine-similarity reports (unmasked, direct-wave masked, masked + saturated at ±1 and ±0.3) as CSV/JSON.&lt;/li&gt;&lt;/ul&gt;&lt;h3 dir="ltr"&gt;Baseline comparison (Table 1, Fig. 8, Supplementary Table S2)&lt;/h3&gt;&lt;p&gt;&lt;br&gt;&lt;/p&gt;&lt;ul&gt;&lt;li&gt;baseline.tar.gz — rebuild outputs and metric tables for the direct U-Net and the trace-wise DeepDenoiser (pretrained model) on schemes A–C, together with the pooled (Table 1) and station-wise (Table S2) evaluation outputs.&lt;/li&gt;&lt;li&gt;unet-direct_model-final.pt — checkpoint of the deterministic direct U-Net baseline (same backbone as the DDPM, trained 200 epochs on the same prestack/diversity-stacked pairs). Load with baseline/rebuild_unet_direct.py --checkpoint from the software record.&lt;/li&gt;&lt;/ul&gt;&lt;h3 dir="ltr"&gt;Index catalog for the validation arrays&lt;/h3&gt;&lt;p dir="ltr"&gt;Waveform array Profiles[n,:,:] (shot-station, time_sample, trace) in result-test-move80-allshot.out.npz and ensemble.test.avgout.npz:&lt;/p&gt;&lt;table&gt;&lt;tr&gt;&lt;td&gt;&lt;p dir="ltr"&gt;n=&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p dir="ltr"&gt;NT24-OBS1&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p dir="ltr"&gt;NT24-OBS2&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p dir="ltr"&gt;NT24-OBS3&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p dir="ltr"&gt;NT24-OBS4&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p dir="ltr"&gt;NT24-OBS5&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;p dir="ltr"&gt;OBS 4&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;0&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;1&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;2&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;3&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;4&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;p dir="ltr"&gt;OBS 6&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;5&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;6&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;7&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;8&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;9&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;p dir="ltr"&gt;OBS 9&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;10&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;11&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;12&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;13&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;14&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;p dir="ltr"&gt;OBS 21&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;15&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;16&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;17&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;18&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;19&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;p dir="ltr"&gt;OBS 24&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;20&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;21&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;22&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;23&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;24&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;p dir="ltr"&gt;OBS 26&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;25&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;26&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;27&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;28&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;29&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;p dir="ltr"&gt;OBS 27&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;30&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;31&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;32&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;33&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;34&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;tr&gt;&lt;td&gt;&lt;p dir="ltr"&gt;OBS 28&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;35&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;36&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;37&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;38&lt;/p&gt;&lt;/td&gt;&lt;td&gt;&lt;p&gt;39&lt;/p&gt;&lt;/td&gt;&lt;/tr&gt;&lt;/table&gt;&lt;p&gt;&lt;/p&gt;</dc:description>
          <dc:date>2026-10-01T09:37:37Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.6084/m9.figshare.34041801.v1</dc:identifier>
          <dc:relation>https://figshare.com/articles/dataset/Processed_seismic_survey_data_for_validating_DDPM/34041801</dc:relation>
          <dc:rights>GPL 3.0+</dc:rights>
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