Pith. sign in

REVIEW 3 major objections 5 minor 278 references

A self-supervised MAE pipeline can explore multi-year ocean sound recordings and turn them into usable signal classes with under an hour of human mapping.

Reviewed by Pith at T0; open to challenge. T0 means a machine referee read the full paper against a public rubric. the ladder, T0–T4 →

T0 review · grok-4.5

2026-07-11 01:43 UTC pith:CQTT4JC6

load-bearing objection Solid practical pipeline for low-frequency hydroacoustic exploration; event-level extraction is the real engineering contribution, but its empirical thresholds are under-tested and the F1 gains are only partly attributed. the 3 major comments →

arxiv 2607.07733 v1 pith:CQTT4JC6 submitted 2026-07-07 cs.SD cs.LG

A Self-Supervised Approach for Minimal-Annotation Hydroacoustic Data Exploration

classification cs.SD cs.LG
keywords self-supervised learningmasked autoencoderhydroacoustic monitoringevent-level clusteringmarine mammal vocalizationspassive acoustic monitoringspectrogram embeddingsminimal annotation
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved

The pith

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

Long-term hydrophone arrays produce far more continuous low-frequency sound than anyone can label by hand, so most archives stay unexplored. This paper shows that a Masked AutoEncoder trained only to reconstruct masked spectrogram patches can learn useful local features of the soundscape without any labels. Adjacent informative patches are then grouped into event-level embeddings so that overlapping sources inside one window can be separated; those embeddings are clustered across the whole dataset into a few hundred groups. After roughly one hour of visual inspection that maps the groups onto a handful of semantic classes, the same clusters act as approximate detectors whose hourly scores match specialized and supervised baselines on known whale calls and seismic phases, recover the expected seasonal patterns, and surface several previously unstudied signals.

Core claim

On multi-year low-frequency hydroacoustic data, an MAE that learns patch embeddings, followed by within-spectrogram aggregation of neighboring patches into event embeddings and dataset-scale clustering, yields a few hundred clusters that a human can map to meaningful hydroacoustic classes in under an hour; the resulting lightweight classifiers perform comparably to existing detectors and recover both known seasonal activity and previously uncharacterized signals.

What carries the argument

Event-level disentanglement: after the MAE encoder produces a 14 imes14 grid of 256-dimensional patch embeddings, empty patches are discarded by energy and activation thresholds and remaining adjacent patches are merged by Chebyshev distance ≤3, so each spectrogram yields separate embeddings for co-occurring sources rather than a single window embedding.

Load-bearing premise

The empirical rules that throw away low-energy or low-activation patches and then merge any remaining patches within a Chebyshev distance of three actually isolate true single events rather than systematically merging or splitting overlapping sources.

What would settle it

Re-run the identical pipeline on a fully annotated multi-source subset where every overlapping event is timed and labeled; if the recovered event embeddings routinely fuse distinct concurrent sources or split single calls into multiple clusters, the central claim that event-level aggregation enables reliable exploration collapses.

Watch this falsifier — get emailed when new claim-graph text bears on it.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit.

Referee Report

3 major / 5 minor

Summary. The paper presents a self-supervised pipeline for large-scale exploration of low-frequency hydroacoustic recordings with minimal annotation. A Vision Transformer MAE is pre-trained (multi-site Indian Ocean data) then specialized on the target MAHY*2 hydrophone; patch embeddings are filtered by energy/activation rules and merged by Chebyshev distance ≤3 into event-level embeddings; these are clustered dataset-wide (MAE-K-Means or MAE-UMAP/HDBSCAN) and mapped by an annotator in ~1 h to 15 semantic classes. Quantitative evaluation converts cluster densities into hourly detectors and reports F1/ROC against a periodicity detector and a supervised YOLO baseline on seven classes with independent ground truth; qualitative evaluation recovers known seasonalities and isolates previously unstudied signals.

Significance. If the results hold, the work supplies a practical, open-source workflow (code and MAE weights released) that lowers the annotation barrier for multi-year passive acoustic monitoring archives containing biological, geophysical, and anthropogenic sources. The event-level aggregation step is a concrete response to source overlap, a recurring difficulty in low-frequency hydroacoustics. Independent ground-truth catalogs, ablations of pre-training and aggregation, and recovery of literature seasonal patterns strengthen the claim that the pipeline is useful both as an approximate detector and as an exploratory tool for unknown signals.

major comments (3)
  1. §V.B.1–2 defines “empty” patches by E_i < μ_E−σ_E or A_i < μ_A+σ_A and merges regions whose min Chebyshev distance ≤3; both rules are stated as chosen empirically. The abstract and contribution list attribute performance gains to this event-level disentanglement. Table II shows that event-level variants generally outperform whole-spectrogram aggregations, yet the max-deviation ablation already exceeds event extraction on EQ P, and §VIII acknowledges failure on time-frequency-overlapping sources. No sensitivity sweep on the three free thresholds, and no purity/completeness metric against the Dréo or Raumer catalogs, is provided. Without that check, attribution of the reported F1 gains specifically to “disentanglement” remains under-anchored and should be either quantified or more carefully qualified.
  2. §VI.B and Fig. 6: the hourly density score s(h) yields incomplete ROC curves by construction because the decision region is bounded by cluster support. The paper notes this, yet still claims performance “comparable to two existing detectors.” For classes where the operating point sits far from the full FPR range (e.g., AMW, OW), the comparison is only partial. The manuscript should state more explicitly what “comparable” means under this constraint (e.g., F1 at the optimal threshold only) and discuss whether the method can ever serve as a tunable detector.
  3. §V.D / Table I: cluster-to-class mapping of 317 clusters into 15 classes in one hour is central to both the quantitative F1 numbers and the qualitative seasonal plots. The procedure (eight nearest spectrograms per cluster) is reasonable but subjective and unreplicated. Different annotators, or the same annotator on a different day, could re-group clusters and change which events enter s(h). A short inter-annotator check or a leave-one-cluster-out stability note would strengthen that the reported metrics are not mapping-dependent.
minor comments (5)
  1. §V.C: HDBSCAN is incorrectly glossed as “Uniform Manifold Approximation and Projection” (copy-paste from the UMAP sentence).
  2. Discussion: typos “minimsl”, “reasults”, and “f (Hz)” column header in Table I should be cleaned.
  3. Fig. 4 and Fig. 5: spectrogram normalization and frequency axis limits are stated in captions but would benefit from explicit color-scale bars for reproducibility.
  4. §VII.A: pre-training used 12.20 % of available data with 50 % overlap; a one-sentence justification for the sampling fraction would help readers assess diversity.
  5. Related work could briefly situate the event-level step against recent whole-window SSL clustering in seismology (Rimpot et al. is cited but the distinction could be sharper).

Circularity Check

0 steps flagged

No load-bearing circularity: unsupervised MAE + event clustering + post-hoc mapping is evaluated against external catalogs; self-citations supply data/baselines only.

full rationale

The pipeline (MAE reconstruction pre-training, empirical patch discard + Chebyshev merge into event embeddings, UMAP/HDBSCAN or K-Means clustering, then ~1 h visual cluster-to-class mapping) is fully unsupervised with respect to the evaluation labels. Hourly density scores s(h) and the resulting ROC/F1 numbers (Table II, Fig. 6) are obtained by comparing the mapped clusters against two external sources (Dréo et al. 2025 weakly-annotated whale presence and Raumer et al. 2025 automatic P-phase catalog). Those catalogs pre-exist the present clustering and are not used to train the MAE, to set the discard/merge thresholds, or to form the clusters; the mapping step inspects spectrogram patches, not the ground-truth labels. Self-citations therefore supply the evaluation data and one baseline detector but do not force the reported F1 values or seasonal recoveries by construction. No equation equates a claimed prediction to a fitted input, no uniqueness theorem is imported to forbid alternatives, and no known empirical pattern is merely renamed. The empirical character of the patch rules is a methodological assumption (correctness risk), not a circular reduction. Score 1 reflects only the ordinary author-overlap on the evaluation corpora, which is non-load-bearing under the stated criteria.

Axiom & Free-Parameter Ledger

5 free parameters · 3 axioms · 0 invented entities

The central claim rests on standard SSL and clustering machinery plus several empirical design choices (patch size, mask ratio, energy/activation thresholds, Chebyshev merge distance, target cluster count ~300) that are not derived from first principles. No new physical entities are postulated; the free parameters are algorithmic knobs fitted or chosen by hand for the Mayotte spectrograms.

free parameters (5)
  • patch energy discard threshold = μE − σE
    Patches with Ei < μE − σE are discarded; threshold chosen empirically (§V.B.1).
  • patch activation discard threshold = μA + σA
    Patches with Ai < μA + σA are discarded; threshold chosen empirically (§V.B.1).
  • Chebyshev merge distance = 3
    Events merged if min Chebyshev distance ≤ 3 (§V.B.2).
  • target number of clusters / HDBSCAN min cluster size = ~317 clusters
    Hyperparameters tuned to obtain ~300 clusters (min cluster size 50, min neighborhood 20) for feasible annotation (§VII.B).
  • MAE mask ratio and architecture size = 50 % mask, dim 256
    50 % masking, 16-layer encoder / 6-layer decoder, embedding dim 256 chosen for computational tractability (§V.A).
axioms (3)
  • domain assumption Reconstruction of masked spectrogram patches yields embeddings that capture hydroacoustic event structure useful for clustering.
    Core MAE pretext assumption imported from He et al. 2021 and applied to low-frequency spectrograms (§III, §V.A).
  • ad hoc to paper Adjacent informative patches after energy/activation filtering correspond to single hydroacoustic events that can be represented by one mean embedding.
    Event extraction procedure of §V.B; paper acknowledges failure on overlapping sources.
  • domain assumption Hourly density of cluster membership is a valid proxy for binary presence/absence of a semantic class.
    Evaluation protocol §VI.A–B that converts clusters into ROC/F1 scores.

pith-pipeline@v1.1.0-grok45 · 21049 in / 2743 out tokens · 26244 ms · 2026-07-11T01:43:32.250879+00:00 · methodology

0 comments
read the original abstract

Passive hydroacoustic monitoring often generates large volumes of continuous recordings that are only partially exploited due to the cost of manual annotation. Supervised detection methods perform well but require large labeled datasets, seldom available for rare signals or understudied environments. This work proposes a self-supervised exploration pipeline to address this limitation in low-frequency settings. A Masked AutoEncoder (MAE) is pre-trained on a reconstruction pretext task, then used to extract patch-level representations from spectrograms. Within each spectrogram, adjacent informative patches are aggregated into event-level embeddings, enabling the disentanglement of overlapping events. These embeddings are then clustered at the dataset scale using the dimension reduction algorithm UMAP and the clustering algorithm HDBSCAN to identify hydroacoustic patterns. The pipeline was applied to a multi-year hydroacoustic dataset collected near Mayotte Island, Indian Ocean, containing marine mammal vocalizations, seismo-volcanic signals, and anthropogenic noise. The 317 clusters were manually mapped to 15 hydroacoustic classes or noise in less than one hour. The method was evaluated in two ways. Quantitatively, when used as a classifier, it achieved performance comparable to two existing detectors. Qualitatively, it recovered known seasonal patterns of marine mammal acoustic activity. It also identified patterns of previously unstudied signals, thereby demonstrating its practical value.

Figures

Figures reproduced from arXiv: 2607.07733 by Anatole Gros-Martial, Axel Marmoret, Dorian Cazau, Flore Samaran, Jean-Yves Royer, Maelle Torterotot, Pierre-Yves Raumer, Richard Dreo, Sara Bazin.

Figure 1
Figure 1. Figure 1: FIG. 1. Schematic view of the architecture used in this work. The input spectrogram is partly [PITH_FULL_IMAGE:figures/full_fig_p007_1.png] view at source ↗
Figure 2
Figure 2. Figure 2: FIG. 2. Map of the southern Indian Ocean showing the locations of the hydrophones used in [PITH_FULL_IMAGE:figures/full_fig_p010_2.png] view at source ↗
Figure 3
Figure 3. Figure 3: FIG. 3. Overview of the proposed workflow. (1) A spectrogram containing both a 100-120 Hz [PITH_FULL_IMAGE:figures/full_fig_p012_3.png] view at source ↗
Figure 4
Figure 4. Figure 4: FIG. 4. Examples of MAHY*2 normalized spectrograms reconstructions by the MAE. Original [PITH_FULL_IMAGE:figures/full_fig_p021_4.png] view at source ↗
Figure 5
Figure 5. Figure 5: FIG. 5. Time distribution of detected events with an example spectrogram, using the results of [PITH_FULL_IMAGE:figures/full_fig_p024_5.png] view at source ↗
Figure 6
Figure 6. Figure 6: FIG. 6. Receiver Operating Characteristic curves of the presented MAE-based methods, the BioD [PITH_FULL_IMAGE:figures/full_fig_p026_6.png] view at source ↗

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.

Reference graph

Works this paper leans on

278 extracted references · 278 canonical work pages · 15 internal anchors

  1. [1]

    UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

    McInnes, Leland and Healy, John and Melville, James , year =. doi:10.48550/ARXIV.1802.03426 , abstract =

  2. [2]

    Campello, Ricardo J. G. B. and Moulavi, Davoud and Sander, Joerg , editor =. Density-. Advances in. 2013 , note =. doi:10.1007/978-3-642-37456-2_14 , urldate =

  3. [3]

    Geophysical Journal International , author =

    Self-supervised learning of seismological data reveals new eruptive sequences at the. Geophysical Journal International , author =. 2024 , pages =. doi:10.1093/gji/ggae361 , abstract =

  4. [4]

    The Journal of the Acoustical Society of America , author =

    Automated detection of. The Journal of the Acoustical Society of America , author =. 2015 , pages =. doi:10.1121/1.4934271 , abstract =

  5. [5]

    Geophysical Research Letters , author =

    Determining the orientations of ocean bottom seismometers using ambient noise correlation , volume =. Geophysical Research Letters , author =. 2013 , pages =. doi:10.1002/grl.50698 , abstract =

  6. [6]

    Rauch, Lukas and Heinrich, René and Moummad, Ilyass and Joly, Alexis and Sick, Bernhard and Scholz, Christoph , year =. Can. doi:10.48550/ARXIV.2504.12880 , abstract =

  7. [7]

    Emerging

    Caron, Mathilde and Touvron, Hugo and Misra, Ishan and Jegou, Herve and Mairal, Julien and Bojanowski, Piotr and Joulin, Armand , month = oct, year =. Emerging. 2021. doi:10.1109/ICCV48922.2021.00951 , abstract =

  8. [8]

    Geophysical Journal International , author =

    Clock errors in land and ocean bottom seismograms: high-accuracy estimates from multiple-component noise cross-correlations , volume =. Geophysical Journal International , author =. 2018 , pages =. doi:10.1093/gji/ggy236 , abstract =

  9. [9]

    Journal of Geophysical Research: Solid Earth , author =

    Earthquake scaling relations for mid‐ocean ridge transform faults , volume =. Journal of Geophysical Research: Solid Earth , author =. 2004 , pages =. doi:10.1029/2004JB003110 , abstract =

  10. [10]

    Journal of Geophysical Research: Solid Earth , author =

    780. Journal of Geophysical Research: Solid Earth , author =. 2021 , pages =. doi:10.1029/2021JB022152 , abstract =

  11. [12]

    Earth and Planetary Science Letters , author =

    Controls on the magmatic fraction of extension at mid-ocean ridges , volume =. Earth and Planetary Science Letters , author =. 2020 , pages =. doi:10.1016/j.epsl.2020.116541 , abstract =

  12. [13]

    Journal of Geophysical Research: Solid Earth , author =

    Controls on. Journal of Geophysical Research: Solid Earth , author =. 2018 , pages =. doi:10.1029/2018JB015545 , abstract =

  13. [14]

    The Journal of the Acoustical Society of America , author =

    Detecting, classifying, and counting blue whale calls with. The Journal of the Acoustical Society of America , author =. 2021 , pages =. doi:10.1121/10.0004828 , abstract =

  14. [15]

    MATPAC++: Enhanced Masked Latent Prediction for Self-Supervised Audio Representation Learning

    Quelennec, Aurian and Chouteau, Pierre and Peeters, Geoffroy and Essid, Slim , year =. doi:10.48550/ARXIV.2508.12709 , abstract =

  15. [16]

    Quelennec, Aurian and Chouteau, Pierre and Peeters, Geoffroy and Essid, Slim , month = apr, year =. Masked. doi:10.1109/ICASSP49660.2025.10887666 , abstract =

  16. [17]

    Comptes Rendus

    Initial results from a hydroacoustic network to monitor submarine lava flows near. Comptes Rendus. Géoscience , author =. 2023 , pages =. doi:10.5802/crgeos.119 , language =

  17. [18]

    doi:10.1109/ICASSP49357.2023.10095642 , abstract =

    Hagiwara, Masato , month = jun, year =. doi:10.1109/ICASSP49357.2023.10095642 , abstract =

  18. [19]

    Tang, Chengyu and Baskiyar, Sanjeev , year =. State. doi:10.48550/ARXIV.2512.03563 , abstract =

  19. [20]

    The Thirty-Ninth Annual Conference on Neural Information Processing Systems workshop: AI for non-human animal communication , author =

  20. [21]

    PDMX: A large-scale public domain musicxml dataset for symbolic music processing

    Sarkar, Eklavya and Magimai.-Doss, Mathew , month = apr, year =. Comparing. doi:10.1109/ICASSP49660.2025.10889684 , abstract =

  21. [22]

    PDMX: A large-scale public domain musicxml dataset for symbolic music processing

    Liang, Jingyong and Meyer, Bernd and Lee, Issac Ning and Do, Thanh-Toan , month = apr, year =. Self-supervised. doi:10.1109/ICASSP49660.2025.10890060 , abstract =

  22. [23]

    and Brickson, Leandra and Titus, Alexander J

    Bermant, Peter C. and Brickson, Leandra and Titus, Alexander J. , month = oct, year =. Bioacoustic. doi:10.1101/2022.10.12.511740 , abstract =

  23. [24]

    A data-centric framework for crystal structure identification in atomistic simulations using machine learning

    Regional seismicity of the. Geophysical Journal International , author =. 2010 , pages =. doi:10.1111/j.1365-246X.2010.04815.x , language =

  24. [25]

    Geophysical Research Letters , author =

    Voluminous eruption from a zoned magma body after an increase in supply rate at. Geophysical Research Letters , author =. doi:10.1002/2016GL071327 , abstract =

  25. [26]

    Environmental Reviews , author =

    Underwater noise and. Environmental Reviews , author =. 2020 , pages =. doi:10.1139/er-2019-0033 , abstract =

  26. [27]

    Dosovitskiy, Alexey and Beyer, Lucas and Kolesnikov, Alexander and Weissenborn, Dirk and Zhai, Xiaohua and Unterthiner, Thomas and Dehghani, Mostafa and Minderer, Matthias and Heigold, Georg and Gelly, Sylvain and Uszkoreit, Jakob and Houlsby, Neil , year =. An. doi:10.48550/ARXIV.2010.11929 , abstract =

  27. [28]

    2024 , pages =

    Earth and Space Science , author =. 2024 , pages =. doi:10.1029/2023EA003332 , abstract =

  28. [29]

    Niklasson, Siobhan Marion Yueh Ming and Rowe, Charlotte Anne , year =. Arctic

  29. [30]

    Acoustic

    Blondel, Philippe and Dell, Benedict and Suriyaprakasam, Cheran , year =. Acoustic. doi:10.1121/2.0001312 , urldate =

  30. [31]

    Better quantifying inter-annotator variability:

    Dubus, Gabriel and Torterotot, Maëlle and Duc, Paul Nguyen Hong and Beesau, Julie and Cazau, Dorian and Adam, Olivier , month = jun, year =. Better quantifying inter-annotator variability:. doi:10.1109/OCEANSLimerick52467.2023.10244502 , urldate =

  31. [32]

    and Kanamori, Hiroo , month = may, year =

    Hanks, Thomas C. and Kanamori, Hiroo , month = may, year =. A moment magnitude scale , volume =. Journal of Geophysical Research: Solid Earth , publisher =. doi:10.1029/jb084ib05p02348 , abstract =

  32. [33]

    Science , author =

    Seismic constraints on caldera dynamics from the 2015. Science , author =. 2016 , pages =. doi:10.1126/science.aah5563 , abstract =

  33. [34]

    Geochemistry, Geophysics, Geosystems , author =

    Automatic. Geochemistry, Geophysics, Geosystems , author =. 2025 , pages =. doi:10.1029/2025GC012572 , abstract =

  34. [35]

    Journal of Geophysical Research: Machine Learning and Computation , author =

    Self‐. Journal of Geophysical Research: Machine Learning and Computation , author =. 2025 , pages =. doi:10.1029/2025JH000958 , abstract =

  35. [36]

    He, Kaiming and Chen, Xinlei and Xie, Saining and Li, Yanghao and Dollár, Piotr and Girshick, Ross , year =. Masked. doi:10.48550/ARXIV.2111.06377 , abstract =

  36. [37]

    Frontiers in Marine Science , author =

    Global. Frontiers in Marine Science , author =. 2019 , pages =. doi:10.3389/fmars.2019.00067 , abstract =

  37. [38]

    Royal Society Open Science , author =

    Omura’s whales (. Royal Society Open Science , author =. 2015 , pages =. doi:10.1098/rsos.150301 , abstract =

  38. [39]

    Marine Biology Research , author =

    Omura's whale off. Marine Biology Research , author =. 2016 , pages =. doi:10.1080/17451000.2015.1084424 , abstract =

  39. [40]

    First specimen record of

    Jung, Jean-Luc , year =. First specimen record of

  40. [41]

    JASA Express Letters , author =

    Omura's whale (. JASA Express Letters , author =. 2025 , pages =. doi:10.1121/10.0037187 , abstract =

  41. [42]

    Animals , author =

    Distribution and. Animals , author =. 2024 , pages =. doi:10.3390/ani14202944 , abstract =

  42. [43]

    Acoustics Australia , author =

    Review of. Acoustics Australia , author =. 2017 , pages =. doi:10.1007/s40857-017-0101-z , abstract =

  43. [44]

    Scientific Reports , author =

    Multiple pygmy blue whale acoustic populations in the. Scientific Reports , author =. 2021 , pages =. doi:10.1038/s41598-021-88062-5 , abstract =

  44. [45]

    The Journal of the Acoustical Society of America , author =

    Description and seasonal detection of two potential whale calls recorded in the. The Journal of the Acoustical Society of America , author =. 2015 , pages =. doi:10.1121/1.4928719 , abstract =

  45. [46]

    Journal of Mammalogy , author =

    Occurrence of. Journal of Mammalogy , author =. 2020 , pages =. doi:10.1093/jmammal/gyaa130 , abstract =

  46. [47]

    Marine Mammal Science , author =

    Rare or cryptic?. Marine Mammal Science , author =. 2017 , pages =. doi:10.1111/mms.12348 , abstract =

  47. [48]

    Omura’s whale (

    Ranjbar, Sharif and Dakhteh, Mohammad Sayed and Van Waerebeek, Koen , month = mar, year =. Omura’s whale (. doi:10.1101/042614 , abstract =

  48. [49]

    Water Biology and Security , author =

    Record of a juvenile. Water Biology and Security , author =. 2022 , pages =. doi:10.1016/j.watbs.2022.100056 , abstract =

  49. [50]

    Aquatic Mammals , author =

    First. Aquatic Mammals , author =. 2020 , pages =. doi:10.1578/AM.46.3.2020.301 , abstract =

  50. [51]

    Aquatic Mammals , author =

    A. Aquatic Mammals , author =. 2016 , pages =. doi:10.1578/AM.42.2.2016.193 , abstract =

  51. [52]

    Marine Biodiversity Records , author =

    First record of. Marine Biodiversity Records , author =. 2017 , pages =. doi:10.1186/s41200-017-0121-2 , abstract =

  52. [53]

    Animal Systematics, Evolution and Diversity , author =

    First. Animal Systematics, Evolution and Diversity , author =. 2018 , pages =. doi:10.5635/ASED.2018.34.3.162 , abstract =

  53. [54]

    The Journal of the Acoustical Society of America , author =

    Source levels of. The Journal of the Acoustical Society of America , author =. 2025 , pages =. doi:10.1121/10.0036847 , abstract =

  54. [55]

    The Journal of the Acoustical Society of America , author =

    Automatic detectors for low-frequency vocalizations of. The Journal of the Acoustical Society of America , author =. 2020 , pages =. doi:10.1121/10.0001108 , abstract =

  55. [56]

    Nature , author =

    A newly discovered species of living baleen whale , volume =. Nature , author =. 2003 , pages =. doi:10.1038/nature02103 , abstract =

  56. [57]

    Nature , author =

    Proxy evidence for an. Nature , author =. 2003 , pages =. doi:10.1038/nature02101 , language =

  57. [58]

    Journal of Geophysical Research: Solid Earth , author =

    Global observation of vertical‐. Journal of Geophysical Research: Solid Earth , author =. 2013 , pages =. doi:10.1029/2012JB009721 , abstract =

  58. [59]

    Marine Pollution Bulletin , author =

    The variable influence of anthropogenic noise on summer season coastal underwater soundscapes near a port and marine reserve , volume =. Marine Pollution Bulletin , author =. 2023 , pages =. doi:10.1016/j.marpolbul.2023.115406 , abstract =

  59. [60]

    , month = dec, year =

    Wenz, Gordon M. , month = dec, year =. Acoustic. The Journal of the Acoustical Society of America , publisher =. doi:10.1121/1.1909155 , abstract =

  60. [61]

    Journal of Geophysical Research: Biogeosciences , author =

    Seasonal. Journal of Geophysical Research: Biogeosciences , author =. 2023 , pages =. doi:10.1029/2023JG007409 , abstract =

  61. [62]

    Earth and Planetary Science Letters , author =

    Ring faulting and piston collapse in the mantle sustained the largest submarine eruption ever documented , volume =. Earth and Planetary Science Letters , author =. 2024 , pages =. doi:10.1016/j.epsl.2024.119026 , language =

  62. [63]

    Earth System Science Data , author =

    A 30-month data set of glider physico-chemical data off. Earth System Science Data , author =. 2025 , pages =. doi:10.5194/essd-17-4535-2025 , abstract =

  63. [64]

    Simultaneous evolution of the virial parameter and star formation rate in molecular clumps undergoing global hierarchical collapse

    Seismic moment distribution revisited:. Geophysical Journal International , author =. 2002 , pages =. doi:10.1046/j.1365-246x.2002.01594.x , language =

  64. [65]

    The Seismic Record , author =

    Estimating the. The Seismic Record , author =. 2023 , pages =. doi:10.1785/0320230017 , abstract =

  65. [66]

    Science Advances , author =

    Earthquake frequency-magnitude distribution at. Science Advances , author =. 2025 , pages =. doi:10.1126/sciadv.adx9873 , abstract =

  66. [68]

    Seismological Research Letters , author =

    A. Seismological Research Letters , author =. 2022 , pages =. doi:10.1785/0220210279 , abstract =

  67. [69]

    Bulletin of Volcanology , author =

    No depth limit to hydrovolcanic limu o. Bulletin of Volcanology , author =. 2010 , pages =. doi:10.1007/s00445-009-0315-5 , abstract =

  68. [70]

    Nature , author =

    Dynamics of a seafloor-spreading episode at the. Nature , author =. 2016 , pages =. doi:10.1038/nature20116 , abstract =

  69. [71]

    Geophysical Research Letters , author =

    Empirical relationship of. Geophysical Research Letters , author =. 2001 , pages =. doi:10.1029/2001GL012939 , abstract =

  70. [72]

    and Lee, W

    Dziak, Robert P. and Lee, W. S. and Haxel, J. H. and Matsumoto, H. and Tepp, G. and Lau, T.-K. and Roche, L. and Yun, S. and Lee, C.-K. and Lee, J. and Yoon, S.-T. , month = jul, year =. Hydroacoustic,. Frontiers in Earth Science , publisher =. doi:10.3389/feart.2019.00183 , urldate =

  71. [73]

    and Fowler, Matthew and Matsumoto, Haruyoshi and Bohnenstiehl, DelWayne and Park, Minkyu and Warren, Kyle and Lee, Won Sang , year =

    Dziak, Robert P. and Fowler, Matthew and Matsumoto, Haruyoshi and Bohnenstiehl, DelWayne and Park, Minkyu and Warren, Kyle and Lee, Won Sang , year =. Life and. Oceanography , publisher =. doi:10.5670/oceanog.2013.20 , number =

  72. [74]

    Bulletin of the Seismological Society of America , author =

    P- and. Bulletin of the Seismological Society of America , author =. 2004 , pages =. doi:10.1785/0120030156 , language =

  73. [75]

    Geology , author =

    Rapid dike emplacement leads to eruptions and hydrothermal plume release during seafloor spreading events , volume =. Geology , author =. 2007 , pages =. doi:10.1130/G23476A.1 , abstract =

  74. [76]

    Nature Geoscience , author =

    Seismic precursors and magma ascent before the. Nature Geoscience , author =. 2012 , pages =. doi:10.1038/ngeo1490 , abstract =

  75. [77]

    Bulletin of the Seismological Society of America , author =

    Practical. Bulletin of the Seismological Society of America , author =. 2007 , pages =. doi:10.1785/0120060193 , language =

  76. [78]

    pure and applied geophysics , author =

    Universality of the. pure and applied geophysics , author =. 1999 , pages =. doi:10.1007/s000240050277 , language =

  77. [79]

    Nature , author =

    The seismic moment budget of slowly spreading ridges , volume =. Nature , author =. 1988 , pages =. doi:10.1038/334058a0 , language =

  78. [80]

    Journal of Geophysical Research , author =

    Seismology and the new global tectonics , volume =. Journal of Geophysical Research , author =. 1968 , pages =. doi:10.1029/JB073i018p05855 , language =

  79. [81]

    Physics of the Earth and Planetary Interiors , author =

    Seismicity of oceanic and continental rifts—a geodynamic approach , volume =. Physics of the Earth and Planetary Interiors , author =. 1999 , pages =. doi:10.1016/S0031-9201(98)00165-4 , language =

  80. [82]

    Nature Geoscience , author =

    Continuous exhumation of mantle-derived rocks at the. Nature Geoscience , author =. 2013 , pages =. doi:10.1038/ngeo1771 , language =

Showing first 80 references.