Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Seth Cones"'
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Large-scale offshore wind farms are a critical component of the worldwide climate strategy. However, their developments have been opposed by the fishing industry because of concerns regarding the impacts of pile driving vibrations during con
Externí odkaz:
https://doaj.org/article/fccee08682a543899e7e451ba0631a41
Publikováno v:
The Journal of the Acoustical Society of America. 153:1130-1137
There is increasing concern that anthropogenic sounds have a significant impact on marine animals, but there remains insufficient data on sound sensitivities for most invertebrates, despite their ecological and economic importance. We quantified audi
Autor:
Seth Cones, Molly Dent, Sam Walkes, Alessandro Bocconcelli, Christianna DeWind, Kayla Arjasbi, Kathryn Rose, Tammy Silva, Laela Sayigh
Publikováno v:
Marine Mammal Science. 39:338-344
Autor:
Sierra Jarriel, Youenn Jezequel, Seth Cones, Nathan Formel, Nadége Aoki, Jenni Stanley, T. Aran Mooney
Publikováno v:
The Journal of the Acoustical Society of America. 153:A223-A223
With the threat of climate change and global energy demands rapidly growing, offshore wind farms are quickly becoming a contender in renewable energy strategies in countries around the world, including the United States. In the US, numerous offshore
Zooplankton occupy critical roles in marine ecosystems, yet their fine-scale behavior remains poorly understood due to the difficulty of studying individualsin situ. Here we combine biologging with supervised machine learning (ML) to demonstrate a pi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::222f28b8264111ab4739713453ce4410
https://doi.org/10.1101/657684
https://doi.org/10.1101/657684
Publikováno v:
The Journal of Experimental Biology
Zooplankton play critical roles in marine ecosystems, yet their fine-scale behavior remains poorly understood because of the difficulty in studying individuals in situ. Here, we combine biologging with supervised machine learning (ML) to propose a pi
Publikováno v:
Journal of Experimental Biology.
Zooplankton occupy critical roles in marine ecosystems, yet their fine-scale behavior remains poorly understood due to the difficulty of studying individuals in situ. Here we combine biologging with supervised machine learning (ML) to demonstrate a p