Results 121 to 130 of about 5,039 (234)

Event Deposits Recorded Over the Past 800 kyr in IODP Hole U1433A (South China Sea): Implications of a Revised Methodology for Chronology and Paleoclimate Reconstruction

open access: yesGeochemistry, Geophysics, Geosystems, Volume 27, Issue 8, August 2026.
Abstract Instantaneous event deposits such as turbidites, debrites, and slumps are common and frequently occur in marginal seas. These instantaneous deposits represent seconds to days in duration, and can therefore significantly impact age‐depth models and interpretation of paleoclimate history based on thick sedimentary sequences recovered in deep ...
Xunpeng Li   +8 more
wiley   +1 more source

Early–Late Carboniferous Tectonic Evolution of the Northern North China Craton (NE China): Constraints From Zircon Ages, Geochemistry, and Crustal Thickness Modeling

open access: yesGeochemistry, Geophysics, Geosystems, Volume 27, Issue 8, August 2026.
Abstract The tectonic evolution of the northern margin of the North China Craton (NCC) remains controversial. In this study, we obtained zircon U–Pb ages, geochemical data, and Sr–Nd isotopic data for volcanic rocks, and detrital zircon ages for sedimentary rocks from the Yufutun, Tongqigou, and Benxi formations in central‐southern Jilin Province, NE ...
Yunfei Chang   +6 more
wiley   +1 more source

Seismic Characteristics of the Gas Hydrate System in the Mackenzie Trough of the Canadian Beaufort Sea, Arctic Ocean

open access: yesJournal of Geophysical Research: Solid Earth, Volume 131, Issue 8, August 2026.
Abstract We present a comprehensive seismic characterization of the gas hydrate system in the outer continental shelf of the Mackenzie Trough, Canadian Beaufort Sea, based on recently acquired multichannel seismic (MCS) data, P‐wave velocity modeling, and 3D thermal modeling. We identified high‐amplitude, reverse‐polarity Bottom‐Simulating Reflections (
Yeonjin Choi   +7 more
wiley   +1 more source

Synthetic Seismic Data Generation for Deep Learning Segmentation of Clinoforms: Integrating Process‐Based Forward Stratigraphic Modelling and Ray‐Based Seismic Modelling

open access: yesBasin Research, Volume 38, Issue 4, July–August 2026.
This study aims to develop a deep learning model for automated clinoform segmentation. The trained model achieved high segmentation performance on a synthetic testing dataset and successfully generalised to real seismic profiles. The proposed approach demonstrates the effectiveness of using forward stratigraphic modelling and point spread function for ...
Waleed AlGharbi   +2 more
wiley   +1 more source

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

open access: yesConservation Biology, Volume 40, Issue 4, August 2026.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca   +23 more
wiley   +1 more source

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