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Oyster recruitment from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012
No full textDataset: Results of risk-addition experiment (oyster recruitment)The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability of oyster populations, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment.
As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML) and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth and recruitment were checked monthly. At the mid point and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the recruitment of larval oysters to the experimental treatments.
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885720NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-182054
North Atlantic Right Whale Consortium 2019 Annual Report Card
Full text linkThe North Atlantic right whale (Eubalaena glacialis) remains one of the most endangered large whales in the world. Over the past two decades, there has been increasing interest in addressing the problems hampering the recovery of North Atlantic right whales by using innovative research techniques, new technologies, analyses of existing databases, and enhanced conservation and education strategies. This increased interest demanded better coordination and collaboration among all stakeholders to ensure that there was improved access to data, research efforts were not duplicative, and that findings were shared with all interested parties. The North Atlantic Right Whale Consortium, initially formed in 1986 by five research institutions to share data among themselves, was expanded in 1997 to address these greater needs. Currently, the Consortium membership is comprised of representatives from more than 100 entities including: research, academic, and conservation organizations; shipping and fishing industries; whale watching companies; technical experts; United States (U.S.) and Canadian Government agencies; and state authorities. North Atlantic Right Whale Consortium members agreed in 2004 that an annual “report card” on the status of right whales would be useful. This report card includes updates on the status of the cataloged population, mortalities and injury events, and a summary of management and research efforts that have occurred over the previous 12 months. The Board’s goal is to make public a summary of current research and management activities, as well as provide detailed recommendations for future activities. The Board views this report as a valuable asset in assessing the effects of research and management over time.Island Foundation; Conference Fee
North Atlantic Right Whale Consortium 2010 Annual Report Card
Full text linkThe North Atlantic right whale (Eubalaena glacialis) remains one of the most endangered large whales in the world. Over the past two decades, there has been increasing interest in addressing the problems hampering the recovery of North Atlantic right whales by using innovative research techniques, new technologies, analyses of existing databases, and enhanced conservation and education strategies. This increased interest demanded better coordination and collaboration among all stakeholders to ensure that there was improved access to data, research efforts were not duplicative, and that findings were shared with all interested parties. The North Atlantic Right Whale Consortium, initially formed in 1986 by five research institutions to share data among themselves, was expanded in 1997 to address these greater needs. Currently, the Consortium membership is comprised of representatives from more than 100 entities including: research, academic, and conservation organizations; shipping and fishing industries; whale watching companies; technical experts; United States (U.S.) and Canadian Government agencies; and state authorities. North Atlantic Right Whale Consortium members agreed in 2004 that an annual “report card” on the status of right whales would be useful. This report card includes updates on the status of the cataloged population, mortalities and injury events, and a summary of management and research efforts that have occurred over the previous 12 months. The Board’s goal is to make public a summary of current research and management activities, as well as provide detailed recommendations for future activities. The Board views this report as a valuable asset in assessing the effects of research and management over time.Island Foundation; Conference Fee
Current Velocity data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 until December 4, 2020.
No full textDataset: Current Velocity Artificial Reef Jupiter 2020Current Velocity data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 until December 4, 2020
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/864372NSF Division of Ocean Sciences (NSF OCE) OCE-2006293, NSF Division of Ocean Sciences (NSF OCE) OCE-200629
Wave height data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 August 19, 2020.
No full textDataset: Wave Height Artificial Reef Jupiter 2020Wave height data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 August 19, 2020.
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/858542NSF Division of Ocean Sciences (NSF OCE) OCE-2006293, NSF Division of Ocean Sciences (NSF OCE) OCE-200629
The biogeochemistry of methane isotopologues in marine and lacustrine sediments
Full text linkSubmitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Geochemistry at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution February 2023.Methane is a globally significant greenhouse gas, energy resource, and it is a product and reactant of microbial metabolisms. Multiple sources and sinks of methane can be challenging to distinguish from each other, thus complicating the understanding of methane budgets and the effects of microbes on mediating Earth’s carbon cycle. The relative abundances of methane isotopologues (e.g., 12CH4, 13CH4, 12CH3D, and 13CH3D) record process-based information about the formation conditions, transport, and fate of methane, and in select environments can serve as a temperature proxy. This geochemical tool is herein applied to methane from marine and lacustrine sediments to test assumptions about prevailing mechanisms of its formation and consumption in these settings.
This thesis describes 1) three studies about biogeochemical insights gained by quantifying the relative abundance of clumped methane isotopologue, 13CH3D, in samples from marine and lacustrine sediments, and 2) one foray into method development to improve the quantification of methane in these environments. Chapter 2 presents a global survey of marine gas hydrates where isotope-based temperatures are used to assess whether linkages between methane sources and seepage-associated seafloor features match putative geologic models. Chapter 3 describes two kilometer-scale profiles of methane isotopologues from marine sediments, where the relationship between expected sediment temperature and isotope-based temperature is used to evaluate the temperature limit of microbial processing and abiotic re-equilibration mechanisms. Chapter 4 reports the largest set of methane isotopologue data from ebullition in a single lake basin, which is used to gauge the relative importance of aerobic and anaerobic methane oxidation in the study site and recommend a general sampling strategy to constrain methane source signatures in similar lake settings. Chapter 5 explains the development of a method to quantify the in situ concentration of methane based on ratios of dissolved gases, and its comparison to four other methane quantification methods for surface sediments from marine cold seeps. The findings from this research contribute to ongoing efforts to understand the sedimentary carbon cycle and microbial activity in remote environments.The works described in this thesis was made possible by grants to my advisor from sources including the National Science Foundation (EAR-1852946 to S.O.), U.S. Science Support Program Office associated with the International Ocean Discovery program (OCE-14-50528 to D.T.W and S.O.), the Deep Carbon Observatory Deep Life Community Grant (to S.O.), MISTI Japan, and the mTerra Catalyst Fund (to S.O. and E.L). From 2017-2018 I was funded by the MIT Presidential Fellowship, and from 2018-2020 I was funded as a fellow through the MIT Energy Initiative. The collection of samples from the Scotian Slope was funded by the WHOI Ocean Ventures Fund (to E.L.). The Montrym Fund for student climate research (to E.L) funded the sampling of Upper Mystic Lake. My participation in the 2018 ECORD Summer School was funded by the U.S. Science Support Program Office, and the MIT GSC Conference fund providing funding for my participation in the AGU 2021 Fall Meeting and Goldschmidt 2022
A characterization of microbes at the San Pedro Ocean Time-series (SPOT) from 2005 to 2018, using SSU rRNA gene sequencing from two size fractions, with a universal primer set that amplifies from prokaryotes and eukaryotes
No full textDataset: SSU rRNA Gene Sequencing from SPOTThis study aims to characterize microbes at the San Pedro Ocean Time-series (SPOT) from 2005 to 2018, using small subunit (SSU) rRNA gene sequencing from two size fractions (0.2-1 and 1-80 μm), with a universal primer set that amplifies both prokaryotic 16S and eukaryotic 18S rRNA genes. This allows for direct comparisons of diversity patterns in a single set of analyses. This dataset includes National Center for Biotechnology Information (NCBI) accession numbers and related sample information.
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885982NSF Division of Ocean Sciences (NSF OCE) OCE-1737409, Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) GBMF3779, Simons Foundation (Simons) CBIOMES 54994
July-September 2022 Lidar raw data Nantucket
No full textThis zipped content contains Lidar raw data: Raw 10-minute files of 1 Hz data files from 53-200m amsl from July-September 2022
NetCDF model output of 4 circum-Antartic model simulations covering the Antarctic Continental Shelf from ADD TIME
Full text linkDataset: Circum-Antartic Model: four simulation outputsNetCDF model output of 4 circum-Antartic model simulations covering the Antarctic Continental Shelf from ADD TIME
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/887777NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1643652, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-164361
Output model data from paradox of adaptive trait clines with non-clinal patterns in the underlying genes (Model Validation Program project)
No full textDataset: Paradox of adaptive trait clinesBackground: Multivariate climate change presents an urgent need to understand how species adapt to complex environments. Population genetic theory predicts that loci under selection will form monotonic allele frequency clines with their selective environment, which has led to the wide use of genotype-environment associations (GEAs). This study used a novel set of In silico simulations to elucidate the conditions under which allele frequency clines are more or less likely to evolve as multiple quantitative traits adapt to multivariate environments.
Zenodo archive of GitHub Repository of all code used to create the simulations. Every directory includes a README describing the code, and metadata files are included for the archived outputs.
Modeling code details:
Code was developed 2020-2022
Simulation code was developed in SLiM, recapitated in pyslim, filtered with vcftools, and analyzed with R.
Code was developed by K. E. Lotterhos (PI)
For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/889769NSF Division of Ocean Sciences (NSF OCE) OCE-20439052024-01-0