Results 201 to 210 of about 641,965 (301)

Slack Tide

open access: yesNew England Journal of Medicine, 2022
openaire   +2 more sources

Performance of a glider‐mounted multifrequency echosounder for measuring the vertical distribution and abundance of large pelagic copepods

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract The difficulty of sampling zooplankton communities in situ has driven advancements in autonomous, remote sensing technology. The goal of this paper was to perform a gear comparison study testing the performance of one such piece of technology—a glider‐mounted four‐frequency echosounder—against traditional shipboard methods of measuring ...
Delphine Mossman   +3 more
wiley   +1 more source

Seagrass and oyster interactions under a warming climate scenario: A mesocosm experiment. [PDF]

open access: yesPLoS One
Schafer N   +5 more
europepmc   +1 more source

Sampling effort to characterize estuarine macroinfaunal communities in patchy habitats

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract Estuarine benthic macroinfauna have aggregated, patchy distributions, making accurate community measurements dependent upon sampling scales. The purpose of this study is to determine the appropriate core sizes and sampling effort needed to characterize benthic infaunal communities in Corpus Christi Bay, Texas, USA.
Paul A. Montagna
wiley   +1 more source

A machine learning assisted method for rapidly annotating benthic megafauna in large volumes of marine imagery

open access: yesLimnology and Oceanography: Methods, EarlyView.
Abstract Recent technological advancements have rapidly expanded our capacity for collecting image data in the marine environment, but processing images into meaningful ecological metrics remains a manual, time‐consuming, and biased process. This is particularly challenging with electro‐optical cabled imaging systems which generate images at a rate ...
Katharine T. Bigham, Ada Carter
wiley   +1 more source

Analytical and Numerical Soliton Solutions of the Shynaray II‐A Equation Using the G′G,1G$$ \left(\frac{G^{\prime }}{G},\frac{1}{G}\right) $$‐Expansion Method and Regularization‐Based Neural Networks

open access: yesMathematical Methods in the Applied Sciences, EarlyView.
ABSTRACT Nonlinear differential equations play a fundamental role in modeling complex physical phenomena across solid‐state physics, hydrodynamics, plasma physics, nonlinear optics, and biological systems. This study focuses on the Shynaray II‐A equation, a relatively less‐explored parametric nonlinear partial differential equation that describes ...
Aamir Farooq   +4 more
wiley   +1 more source

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