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  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (736)
  • Elsevier  (41)
  • American Meteorological Society  (32)
  • American Association for the Advancement of Science
  • American Institute of Physics (AIP)
  • Cambridge University Press
  • Periodicals Archive Online (PAO)
  • 2020-2023  (821)
  • 1935-1939
  • 2020  (821)
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Publisher
Years
Year
  • 1
    Publication Date: 2022-01-07
    Description: The Q10 temperature coefficient, which is widely used in scientific literature, is a measure of the temperature sensitivity of chemical reaction rates or biological processes. However, the conclusions drawn from applying this coefficient to experimental data obtained from biological processes are not universal. In many biological processes, Q10 values are often discordant with the results predicted by the Arrhenius law. The hypothesis tested in the present study is that this problem arises mainly from the fact that the Q10 coefficient is defined by the ratio between rates described by exponential laws instead of power laws. Considering this hypothesis and the need to review the mathematical laws and models currently used to describe rates and Q10 coefficients, we propose a model beyond the usual Arrhenius theory or exponential decay law herein. The proposed mathematical model is based on the theory of deformed exponential functions, with the ordinary Q10 model representing the conventional exponential function. Therefore, all results following the standard model remain valid. Moreover, we include a Q10 free open-source code, written in Python, and compatible with Windows, Linux and macOS platforms. The validation of the proposed model and confirmation of the given hypothesis were performed based on the following temperature-dependent biological processes: soil organic carbon (SOC) decomposition (which is essential to forecast the impact of climate change on terrestrial ecosystems); the metabolism of Arctic zooplankton; physiological processes of the respiratory and cardiovascular systems; rate of oxygen consumption in mitochondria of the eurythermal killifish Fundulus heteroclitus, and leaf respiration.
    Type: Article , PeerReviewed
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  • 2
    Publication Date: 2022-01-07
    Description: Since 2010, the Soil Moisture and Ocean Salinity (SMOS) satellite mission monitors the earth emission at L-Band. It provides the longest time series of Sea Surface Salinity (SSS) from space over the global ocean. However, the SSS retrieval at high latitudes is a challenge because of the low sensitivity L-Band radiometric measurements to SSS in cold waters and to the contamination of SMOS measurements by the vicinity of continents, of sea ice and of Radio Frequency Interferences. In this paper, we assess the quality of weekly SSS fields derived from swath-ordered instantaneous SMOS SSS (so called Level 2) distributed by the European Space Agency. These products are filtered according to new criteria. We use the pseudo-dielectric constant retrieved from SMOS brightness temperatures to filter SSS pixels polluted by sea ice. We identify that the dielectric constant model and the sea surface temperature auxiliary parameter used as prior information in the SMOS SSS retrieval induce significant systematic errors at low temperatures. We propose a novel empirical correction to mitigate those sources of errors at high latitudes. Comparisons with in-situ measurements ranging from 1 to 11 m depths spotlight huge vertical stratification in fresh regions. This emphasizes the need to consider in-situ salinity as close as possible to the sea surface when validating L-band radiometric SSS which are representative of the first top centimeter. SSS Standard deviation of differences (STDD) between weekly SMOS SSS and in-situ near surface salinity significantly decrease after applying the SSS correction, from 1.46 pss to 1.28 pss. The correlation between new SMOS SSS and in-situ near surface salinity reaches 0.94. SMOS estimates better capture SSS variability in the Arctic Ocean in comparison to TOPAZ reanalysis (STDD between TOPAZ and in-situ SSS = 1.86 pss), particularly in river plumes with very large SSS spatial gradients.
    Type: Article , PeerReviewed
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  • 3
    Publication Date: 2022-01-07
    Description: The exhumation of peridotite rocks in oceanic transform zones passes by the rheological transition between the ductile and brittle deformation until the complete emplacement in the oceanic lithosphere. The São Pedro and São Paulo Archipelago (SPSPA), in the Equatorial Atlantic, records the deformational products of ductile, brittle and the rocks/fluid interaction generating specific structures in each domain. The deformational stages are related to the transpressional and transtensional geodynamics of São Paulo Transform Fault. Firstly, during transpression, exhumation occurs associated with the ductile domain causing intense mylonitization in temperatures between ~700° and 800 °C, defined by olivine and orthopyroxene recrystallization. The interaction with fluids initially originated from the mantle generates amphibole and oxide-rich layers marking the passage to a semi-brittle deformation. The continuation of peridotite exhumation, associated with an NW-SE shortening and transpressional led to a higher availability of hydrothermal fluids. As a consequence, four serpentinization episodes are recorded, which are associated with semi-brittle to brittle transition under temperatures between 300° and 400 °C. Finally, the complete exhumation and establishment of brittle mechanisms led to carbonatation phase near the surface, with temperatures ranging from 300° to 150 °C. The active NW-SE tectonic stress generated E-W strike-slip faults that were filled by carbonates recording the final exhumation stage.
    Type: Article , PeerReviewed
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  • 4
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    Elsevier
    In:  Environmental Technology & Innovation, 17 . Art.-Nr.: 100567.
    Publication Date: 2022-01-07
    Description: The present state of constantly increasing plastic pollution is the major concern of scientific researchers. The conventional techniques applied (i.e., burning and landfilling) to get plastic degraded from the environment are inadequate due to harmful byproducts and limited to its recycling. In this review, we have recapitulated recent biotechnological approaches, including synthetic microbial consortia, systems biology tools, and genetic engineering techniques which can pave the path towards the plastic bioremediation and degradation. Moreover, potential plastic degrader microbes and their degradation pathways are also summarized. Lastly, this review focuses on enhancing the understanding of the degradation ability of microorganisms using contemporary biotechnological tools.
    Type: Article , PeerReviewed
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  • 5
    Publication Date: 2022-01-07
    Description: Atmospheric deposition of aerosols to the ocean provides an important pathway for the supply of vital micronutrients, including trace metals. These trace metals are essential for phytoplankton growth, and therefore their delivery to marine ecosystems can strongly influence the ocean carbon cycle. The solubility of trace metals in aerosols is a key parameter to better constrain their potential impact on phytoplankton growth. To date, a wide range of experimental approaches and nomenclature have been used to define aerosol trace metal solubility, making data comparison between studies difficult. Here we investigate and discuss several laboratory leaching protocols to determine the solubility of key trace metals in aerosol samples, namely iron, cobalt, manganese, copper, lead, vanadium, titanium and aluminium. Commonly used techniques and tools are also considered such as enrichment factor calculations and air mass back-trajectory projections and recommendations are given for aerosol field sampling, laboratory processing (including leaching and digestion) and analytical measurements. Finally, a simple 3-step leaching protocol combining commonly used protocols is proposed to operationally define trace metal solubility in aerosols. The need for standard guidelines and protocols to study the biogeochemical impact of atmospheric trace metal deposition to the ocean has been increasingly emphasised by both the atmospheric and oceanographic communities. This lack of standardisation currently limits our understanding and ability to predict ocean and climate interactions under changing environmental conditions.
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  • 6
    Publication Date: 2022-01-07
    Description: Highlights • Regional brain iron concentrations are heterogenous. • Regional distribution of iron is most consistent with ferritin mRNA expression. • SEC-ICP-MS reveals the protein masses that cytosolic iron is associated with. • More than 50 % of cytosolic iron is associated with ferritin. Iron is essential for brain development and health where its redox properties are used for a number of neurological processes. However, iron is also a major driver of oxidative stress if not properly controlled. Brain iron distribution is highly compartmentalised and regulated by a number of proteins and small biomolecules. Here, we examine heterogeneity in regional iron levels in 10 anatomical structures from seven post-mortem human brains with no apparent neuropathology. Putamen contained the highest levels, and most case-to-case variability, of iron compared with the other regions examined. Partitioning of iron between cytosolic and membrane-bound iron was generally consistent in each region, with a slightly higher proportion (55 %) in the ‘insoluble’ phase. We expand on this using the Allen Human Brain Atlas to examine patterns between iron levels and transcriptomic expression of iron regulatory proteins and using quantitative size exclusion chromatography-inductively coupled plasma-mass spectrometry to assess regional differences in the molecular masses to which cytosolic iron predominantly binds. Approximately 60 % was associated with ferritin, equating to approximately 25 % of total tissue iron essentially in storage. This study is the first of its kind in human brain tissue, providing a valuable resource and new insight for iron biologists and neuroscientists, alike.
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  • 7
    Publication Date: 2022-01-07
    Description: The aim of this study was to investigate the syntrophic methanogenesis from the perspective of energy transfer and competition. Effects of redox materials and redox potential on direct interspecies electron transfer (DIET) were examined through thermodynamic analysis based on the energy distribution principle. Types of redox materials could affect the efficiency of DIET via changing the total energy supply of the syntrophic methanogenesis. Decreasing system redox potential could facilitate DIET through increasing the total available energy. The competition between hydrogenotrophic methanogens and DIET methanogens might be the reason for the low proportion of the DIET pathway in the syntrophic methanogenesis. A facilitation mechanism of DIET was proposed based on the energy distribution. Providing sufficient electrons, inhibiting hydrogenotrophic methanogens and adding more competitive redox couples to avoid hydrogen generation might be beneficial for the facilitation of DIET.
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  • 8
    Publication Date: 2022-01-07
    Description: Highlights • NH4NO3, Tris-HCl, and NH4CH3COO are optimal buffers for use in SEC-ICP-MS metalloprotein analyses. • Optimal range of buffer concentration is 50–200 mM in SEC-ICP-MS. • 100 mM concentration reduces both protein column interactions and ICP-MS maintenance. • Dextran-based columns are best suited for the analysis of apo-copper proteins. The correct identification of the metalloproteins present in human tissues and fluids is essential to our understanding of the cellular mechanisms underpinning a host of health disorders. Separation and analysis of biological samples are typically done via size exclusion chromatography hyphenated with inductively coupled plasma-mass spectrometry (SEC-ICP-MS). Although this technique can be extremely effective in identification of potential metalloproteins, the choice of mobile phase may have a marked effect on results, results by adversely affecting metal-protein bonds of the metalloproteins of interest. To assess the choice of mobile phase on SEC-ICP-MS resolution and the resulting metalloproteome pattern, we analysed several different sample types (brain homogenate; Cu/Zn-superoxide dismutase (SOD1); a molecular weight standard mix containing ferritin (Ft), ceruloplasmin (Cp), cytochrome c (CytC), vitamin B12 (B12) and thyroglobulin (Tg) using six different mobile phase conditions (200 mM, pH 7.5 solutions of ammonium salts nitrate, acetate, and sulfate; HEPES, MOPS and Tris-HCl). Our findings suggest that ammonium nitrate, ammonium acetate and Tris-HCl are optimal choices for the mobile phase, with the specific choice being dependent on both the number of samples and method of detection that is hyphenated with separation. Furthermore, we found that MOPS, HEPES and ammonium sulfate mobile phases all caused significant changes to peak resolution, retention time and overall profile shape. MOPS and HEPES, in particular, produced additional Fe peaks that were not detected with any of the other mobile phases that were investigated. As well as this, MOPS and HEPES both caused significant concentration dependent matrix suppression of the internal standard.
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  • 9
    Publication Date: 2022-01-07
    Description: Symbiotic relationships range from parasitic to mutualistic, yet all endosymbionts face similar challenges, including evasion of host immunity. Many symbiotic organisms have evolved similar mechanisms to face these challenges, including manipulation of the host's transforming growth factor-beta (TGFβ) pathway. Here we investigate the TGFβ pathway in scelaractinian corals which are dependent on symbioses with dinoflagellates from the family Symbiodiniaceae. Using the Caribbean coral, Orbicella faveolata, we explore the effects of enhancement and inhibition of the TGFβ pathway on host gene expression. Following transcriptomic analyses, we demonstrated limited effects of pathway manipulation in absence of immune stimulation. However, manipulation of the TGFβ pathway significantly affects the subsequent ability of host corals to mount an immune response. Enhancement of the TGFβ pathway eliminates transcriptomic signatures of host coral immune response, while inhibition of the pathway maintains the response. This is, to our knowledge, the first evidence of an immunomodulatory role for TGFβ in a scelaractinian coral. These findings suggest variation in TGFβ signaling may have implications in the face of increasing disease prevelance. Our results suggest that the TGFβ pathway can modulate tradeoffs between symbiosis and immunity. Further study of links between symbiosis, TGFβ, and immunity is needed to better understand the ecological implications of these findings.
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  • 10
    Publication Date: 2022-01-07
    Description: Highlights • Microplastics act as anthropogenic vectors of trace metals in freshwaters. • Adsorption capacity of microplastics is enhanced by biofilms but is not strong as natural substrates. • Biofilms alter the adsorption kinetics and mechanisms of trace metals onto microplastics. • Microplastics enhance exchange rates of trace metals between water and solid materials. • Anthropogenic substrate is necessary in evaluation of migration and fate of trace metals. Microplastics (MPs) are ubiquitous in freshwater environments, and represent an emerging anthropogenic vector for contaminants, such as trace metals. In this study, virgin expanded polystyrene (PS) particles were placed in a eutrophic urban lake and a reservoir serving as the resource of domestic water for 4 weeks, to develop biofilms on the surface. For comparison, natural adsorbents in the form of suspended particles and surficial sediment were also sampled from these waterbodies. The trace metal adsorption properties of anthropogenic (virgin and biofilm covered microplastics) and natural substrates were investigated and compared via batch adsorption experiments. The adsorption isotherms fitted the Langmuir model, revealed that biofilms could enhance the trace metal adsorption capacity of MPs. However, natural substrates still had a greater adsorption capacity. Biofilms also alter the adsorption kinetics of trace metals onto MPs. The process of adsorption onto virgin MPs was dominated by intraparticle diffusion, whereas film diffusion governed adsorption onto biofilm covered microplastics and natural substrates. The trace metal adsorption of all the substrates was significantly dependent on pH and ionic strength. The adsorption mechanisms were further analyzed by SEM-EDS and FT-IR. The enhancement of adsorption was mainly attributed to complexation with functional groups contained in the biofilms, including carboxyl, amino, and phenyl-OH. Collectively, biofilm development intensifies the role of MPs in the migration and fate of trace metals in freshwater, since it does not give MPs an edge over natural substrates in adsorption.
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  • 11
    Publication Date: 2022-01-07
    Description: Highlights • New insights of CH4 and CO2 hydrates are explored using MD strategy. • The bubble evolution appears to be important over dissociation process. • RDF, MSD, AOP, and diffusion coefficient can be used to examine hydrate stability. • The most stable structure of CH4 and CO2 molecules in the gas hydrate is found. • A promising match is noticed between the MD and literature findings. A comprehensive knowledge and precise estimation of the dynamic, structural, and thermodynamic characteristics of hydrates are needed to assess the stability of gas hydrates. Thermodynamic model and experimental studies can be utilized to compute the physical and dynamic properties of hydrate structures. The use of molecular dynamic (MD) simulation is a well-established approach in gas hydrate studies at the atomic level where the properties of interest are obtained from the numerical solution of Newtonian equations. The present work uses MD simulations by employing the constant temperature-constant pressure (NPT), constant temperature-constant volume (NVT) conditions, and the consistent valence force field (CVFF) to monitor the stability and decomposition of methane and carbon dioxide gas hydrates with different compositions. The effects of temperature and composition on the hydrate stability are investigated. In this study, we also compute the radial distribution function, mean square displacement, diffusion coefficient, lattice parameter, potential energy, dissociation enthalpy as well as the density of methane and carbon dioxide under various thermodynamic and process conditions. The formation of methane and carbon dioxide bubbles is studied to investigate bubble evolution during hydrate dissociation. The sizes of methane and carbon dioxide bubbles are not the same due to different solubility conditions of methane and carbon dioxide in liquid water. In addition, the influences of pressure and temperature on the lattice parameter and density of clathrate hydrates are discussed. The obtained results are consistent with previous theoretical and experimental findings, implying that the methodology followed in this work is reliable. The most stable arrangement of methane and carbon dioxide molecules in the gas hydrate is found. The insights/findings of this study might be useful to further understand detailed transport phenomena (e.g., molecular interactions, gas production rate, carbon dioxide replacement, and carbon dioxide capture) involved in the process of carbon dioxide injection into gas hydrate reservoirs.
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  • 12
    Publication Date: 2022-01-07
    Description: Deep-ocean islands have long been associated with the generation of oceanic eddies in their wakes. However, their interaction with incoming eddies has seldom been considered. This study focuses on the characterization of background and locally generated mesoscale eddies in the Cabo Verde archipelago between 2003 and 2014. Special attention is given to the interaction of incoming eddies with the bathymetry of the islands, along with their impacts on the local generation of eddies. Island-induced wind-shear effects are also considered. In addition, some examples of the biological response to background and locally generated eddies are discussed. This is achieved by combining remote-sensing satellite observations for wind, sea surface height, and chlorophyll-a (Chla) surface concentrations. The results show that the interaction between incoming background eddies and the archipelago is a recurrent phenomenon, which results in eddy deflection, splitting, merging, intensification, and termination (sorted by highest to lowest number of occurrences). Local island-induced disturbances are also significant, mainly due to atmospheric effects. Such processes result in the generation of island-induced eddies and in wind-mediated eddy intensification and confinement, more often observed in the leeward group. Nonetheless, it is strongly suggested that many of the locally generated eddies are a direct product or by-product of the interaction of background eddies with the islands. With respect to the biological realm, a locally generated cyclonic eddy is observed to originate a pronounced phytoplankton bloom in the vicinity of the tallest island. Nonetheless, background eddies generated off the African coast are often associated with enhanced Chla concentrations when they intersect the archipelago. Such observations challenge the idea that local biological productivity in deep oceanic islands is exclusively driven by island-induced mechanisms.
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  • 13
    Publication Date: 2022-01-07
    Description: In an era of electronics, recovering the precious metal such as gold from ever increasing piles of electronic-wastes and metal-ion infested soil has become one of the prime concerns for researchers worldwide. Biological mining is an attractive, economical and non-hazardous to recover gold from the low-grade auriferous ore containing waste or soil. This review represents the recent major biological gold retrieval methods used to bio-mine gold. The biomining methods discussed in this review include, bioleaching, bio-oxidation, bio-precipitation, bio-flotation, bio-flocculation, bio-sorption, bio-reduction, bio-electrometallurgical technologies and bioaccumulation. The mechanism of gold biorecovery by microbes is explained in detail to explore its intracellular mechanistic, which help it withstand high concentrations of gold without causing any fatal consequences. Major challenges and future opportunities associated with each method and how they will dictate the fate of gold bio-metallurgy from metal wastes or metal infested soil bioremediation in the coming future are also discussed. With the help of concurrent advancements in high-throughput technologies, the gold bio-exploratory methods will speed up our ways to ensure maximum gold retrieval out of such low-grade ores containing sources, while keeping the gold mining clean and more sustainable.
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  • 14
    Publication Date: 2022-05-31
    Description: One of the best-known greenhouse gases, CO2, has been increasing in the last decade of about 1.7%. To overcome the well-known global problems related to this gas, researchers of all over the world are working very hard in order to develop any strategies to seriously solve this issue. In this chapter, the authors focus their attention on one of the possible solutions to the problem: bacteria that are CO2 capture cells which have carried out this task since ancient times. In our work we make an excursus on all the biochemical processes of CO2 capture carried out by bacteria, ending with a detailed comparison of the most studied enzymes. One of the alternatives will be to genetically modify the organisms known to date to speed up their conversion process.
    Type: Book chapter , NonPeerReviewed
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  • 15
    Publication Date: 2022-05-25
    Description: Dataset: salmon_juv_diet
    Description: Juvenile salmon diet from F/V Great Pacific, R/V Miller Freeman GP0108, GP0207-01, MF0310 in the Coastal Gulf of Alaska, Northeast Pacific from 2001-2003. 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/3030
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0109078, National Oceanic and Atmospheric Administration (NOAA) unknown NEP NOAA
    Repository Name: Woods Hole Open Access Server
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  • 16
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: broadscale_grid
    Description: Grid developed for Broad-scale gridding in the Georges Bank and Gulf of Maine area (GB project) 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/2296
    Description: National Science Foundation (NSF) unknown GB NSF, National Oceanic and Atmospheric Administration (NOAA) unknown GB NOAA
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  • 17
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Temperature from thermistor chain
    Description: Temperature from a thermistor chain deployed along a 30m depth contour at Mission Beach, CA in June of 2016. 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/742137
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1459393
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  • 18
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: all_species_seen
    Description: All the species seen during broad-scale cruises from the US-GLOBEC Georges Bank Program, 1993-1999. 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/2292
    Description: National Science Foundation (NSF) unknown GB NSF, National Oceanic and Atmospheric Administration (NOAA) unknown GB NOAA
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  • 19
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: lightProbe_WB
    Description: S. Atlantic profiling radiometer system (SPMR/SMSR) from R/V Weatherbird II WB0409, WB0413, WB0506, WB0508 in the Sargasso Sea from 2004-2005. 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/3028
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  • 20
    Publication Date: 2022-05-25
    Description: Dataset: salmon_energy
    Description: Juvenile pink salmon energy density, wet, dry, frozen weights from F/V Great Pacific, R/V Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2003. 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/3108
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0104622, National Oceanic and Atmospheric Administration (NOAA) unknown NEP NOAA
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  • 21
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Environmental Sensory Data
    Description: Environmental, sensory data (temperature, light intensity, salinity, pH, dissolved oxygen, depth) sampled in August 2019 in Carrie Bow Caye, Belize 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/781862
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1929979
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  • 22
    Publication Date: 2022-05-25
    Description: Dataset: salmon_hauldata
    Description: Haul data and salmon numbers caught and processed from F/V Great Pacific, R/V Miller Freeman cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2004. 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/3109
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0109078, National Oceanic and Atmospheric Administration (NOAA) unknown NEP NOAA
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  • 23
    Publication Date: 2022-05-25
    Description: Dataset: viable cell counts
    Description: Viable cell counts on the bacteria in the seawater collected in the Niskin bottles during Leggo drops 1 and 3. 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/684233
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536776
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  • 24
    Publication Date: 2022-05-25
    Description: Dataset: PRS bacteria identification
    Description: Culture-independent identification of bacteria present in the pressure-retaining seawater (PRS) sampler deployed during Leggo drop 1. 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/684362
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536776
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  • 25
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: ice_optics
    Description: Ice optical properties: transmittance and albedo from ARSV Laurence M. Gould LMG0106, LMG0205 in the Southern Ocean from 2001-2002 (SOGLOBEC project). 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/3124
    Description: NSF Antarctic Sciences (NSF ANT) ANT-9910122, NSF Antarctic Sciences (NSF ANT) ANT-9910179
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  • 26
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Oxygen concentration
    Description: Dissolved oxygen from 4 field sites in Bogue Sound, North Carolina from 2014 to 2015. 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/721344
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1233327
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  • 27
    Publication Date: 2022-05-25
    Description: Dataset: snow_pits
    Description: Snow pit data: temperature, density, stratigraphy at various depths from ARSV Laurence M. Gould LMG0106, LMG0205 in the Southern Ocean from 2001-2002 (SOGLOBEC project). 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/3125
    Description: NSF Antarctic Sciences (NSF ANT) ANT-9910122, NSF Antarctic Sciences (NSF ANT) ANT-9910179
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  • 28
    Publication Date: 2022-05-25
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Sadai, S., Condron, A., DeConto, R., & Pollard, D. Future climate response to Antarctic Ice Sheet melt caused by anthropogenic warming. Science Advances, 6(39), (2020): eaaz1169, doi:10.1126/sciadv.aaz1169.
    Description: Meltwater and ice discharge from a retreating Antarctic Ice Sheet could have important impacts on future global climate. Here, we report on multi-century (present–2250) climate simulations performed using a coupled numerical model integrated under future greenhouse-gas emission scenarios IPCC RCP4.5 and RCP8.5, with meltwater and ice discharge provided by a dynamic-thermodynamic ice sheet model. Accounting for Antarctic discharge raises subsurface ocean temperatures by 〉1°C at the ice margin relative to simulations ignoring discharge. In contrast, expanded sea ice and 2° to 10°C cooler surface air and surface ocean temperatures in the Southern Ocean delay the increase of projected global mean anthropogenic warming through 2250. In addition, the projected loss of Arctic winter sea ice and weakening of the Atlantic Meridional Overturning Circulation are delayed by several decades. Our results demonstrate a need to accurately account for meltwater input from ice sheets in order to make confident climate predictions.
    Description: This research was supported by the NSF Office of Polar Programs through NSF grant 1443347, the Biological and Environmental Research (BER) division of the U.S. Department of Energy through grant DE-SC0019263, the NSF through ICER 1664013, and by a grant to the NASA Sea Level Science Team 80NSSC17K0698.
    Repository Name: Woods Hole Open Access Server
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  • 29
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Fish abundance: canopy effect fish assemblage
    Description: Fish abundance and foraging rates by family from point surveys within and outside of canopies at Lameshur Bay, St John, USVI in February and March 2016. 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/826193
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1332915, NSF Division of Ocean Sciences (NSF OCE) OCE-1756381
    Keywords: Grazing impacts ; Restoration ; Ecosystem engineers ; Ecosystem services ; Canopy effect ; Gorgonian ; Fish nursery ; Caribbean ; Habitat-structure
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  • 30
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Mesocosm Growth Data Winter 2017
    Description: This dataset includes sizes of B. neritina colonies with and without symbiont grown at different temperatures. 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/748480
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1608709
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  • 31
    Publication Date: 2022-05-25
    Description: Dataset: Benthic and acidification data from Bermuda
    Description: This dataset was collected using the Benthic Ecosystem and Acidification Measuring System (BEAMS) at Hog Reef and Bailey’s Bay, Bermuda in 2015. 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/719743
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1316006, NSF Division of Ocean Sciences (NSF OCE) OCE-1316047
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  • 32
    Publication Date: 2022-05-25
    Description: Dataset: blue crab samples
    Description: Dates and locations of Callinectes blue crab samples from the coastal Atlantic waters of north and south America, Gulf of Mexico and Caribbean from Massachusetts to Uruguay from 2017 through 2019. Crab populations sampled using methods available to collaborating scientists, managers, and fishermen, as listed in the table. 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/785930
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1658466, NSF Division of Ocean Sciences (NSF OCE) OCE-1658396, NSF Division of Ocean Sciences (NSF OCE) OCE-1658389
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  • 33
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: WP2 net metadata - CGoA LTOP
    Description: WP2 net meta data from F/V Great Pacific GP0108, GP0207-01, GP0207-02 in the Coastal Gulf of Alaska, Northeast Pacific from 2001-2002. 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/3011
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0109078, National Oceanic and Atmospheric Administration (NOAA) unknown NEP NOAA
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  • 34
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: nutrients_WB
    Description: Nutrients; silicate, nitrate plus nitrite, and phosphate from R/V Weatherbird II WB0409, WB0413, WB0506, WB0508 in the Sargasso Sea from 2004-2005. 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/3021
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  • 35
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: event_log_2004-1
    Description: Multi-cruise sampling event log from R/V Oceanus OC404-01 and R/V Weatherbird II WB0409 cruises in the Sargasso Sea in 2004. 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/3017
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  • 36
    Publication Date: 2022-05-25
    Description: Dataset: buoy_temp_barom
    Description: Air temperature and barometric pressure from autonomous buoys from ARSV Laurence M. Gould LMG0106 in the Southern Ocean, Aug-Nov, 2001 (SOGLOBEC project, Sea Ice Microbes project). 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/3118
    Description: NSF Antarctic Sciences (NSF ANT) ANT-9910098
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  • 37
    Publication Date: 2022-05-25
    Description: Dataset: salp_chloro
    Description: Chlorophyll data associated with salp swarm collections in the Slope Waters off northeastern USA from R/V Oceanus OC370, OC379, OC381 in the slope waters off NJ, DE, MD from 2001-2002. 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/3150
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0002540
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  • 38
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: station_plans
    Description: Broad-scale station numbers and locations from the US-GLOBEC Georges Bank project 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/2329
    Description: National Science Foundation (NSF) unknown GB NSF, National Oceanic and Atmospheric Administration (NOAA) unknown GB NOAA
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  • 39
    Publication Date: 2022-05-25
    Description: Dataset: GN01 Ultrapure Water Soluble Aerosol Concentrations
    Description: This dataset contains concentrations of ultrapure water soluble aerosol trace elements collected from bulk aerosol samples on the 2015 US GEOTRACES Western Arctic Transect (USCG Healy GN01). 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/728472
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1438047, NSF Division of Ocean Sciences (NSF OCE) OCE-1435871, NSF Division of Ocean Sciences (NSF OCE) OCE-1437266
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  • 40
    Publication Date: 2022-05-25
    Description: Dataset: Srednick et al. 2020 - L&O Methods - Flow
    Description: Flume flow data from in-situ flume experiments to manipulate pCO2 on shallow tropical coral reef communities at UCB Gump Research Station Moorea, French Polynesia in May of 2018. These data are for a proof of trial experiment for the Shallow COral REef Free Ocean Carbon Enrichment (SCORE FOCE), outlined in Srednick et al. (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/812918
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415268, NSF Division of Ocean Sciences (NSF OCE) OCE-1637396
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  • 41
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Survey Quadrats: organism sizes
    Description: Organism sizes on oyster reef quadrats from surveys in Apalachicola Bay and Ocholckonee Bay, Florida, 2013-2019. Reported are counts, sizes (mm) and relative density. 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/821081
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1917015
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  • 42
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Oyster reef survey totals
    Description: Surveys of inhabitants on the intertidal and subtidal oyster reef in Apalachicola Bay and Ocholckonee Bay, Florida, 2013-2019. This data includes the total numbers of adults, spat, live oysters, new and old gapers, and whether mussels, barnacles crabs, or gastropods were present. 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/821071
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1917015
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  • 43
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Coral surveys
    Description: As part of the reef-composition survey of Palau (7°30' N, 134°30' E) and Yap (9°32' N, 138°7' E), 10-meter long, 2 to 5-meter depth transects were conducted. Coral species along the transect were recorded along with substrate types and other organisms present. Surveys in Palau were conducted from June 2nd to June 24th, 2017, and from June 25th to July 6th, 2017 in Yap. In Pohnpei (6.2°N, 158.2°E) and Kosrae (5.3°N, 162.9°E) FSM, six 10-meter transects were used to measure the benthic composition for every centimeter, at each site of 48 sites. Corals were recorded to species level, except massive Porites and encrusting Montipora, which were recorded in the field as growth forms. All other organisms along each transect were identified to the highest possible taxonomic resolution. 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/737508
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1657633
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  • 44
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Invertebrate Community Distribution
    Description: This dataset includes the distribution of benthic invertebrates along the East Coast, USA, ranging from latitudes 38.61283 to 29.753272. 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/719556
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1608709
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  • 45
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Crab Tethering
    Description: Tethering data for introduced crab for 2015. Experiments were conducted in several bays along Central California coast, shallow subtidal (〈3 m depth). 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/701726
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1514893
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  • 46
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Rosette Samples - HRS1415
    Description: CTD data and analyses of bottles from CTD rosette samples collected on cruise HRS1415. 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/717687
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1155385
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  • 47
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Clam Outplants
    Description: Clam outplants in Seadrift and Bolinas Lagoons (Central California coast, shallow subtidal (〈2 m depth)) for 2015. 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/701701
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1514893
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  • 48
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Northeast US Ichthyoplankton
    Description: Abundance and proportion of ichthyoplankton of the Northeast U.S. Shelf. Ichthyoplankton data from several surveys conducted during the Marine Resources Monitoring, Assessment, and Prediction (MARMAP; 1977-1987) and Ecosystem Monitoring (EcoMon; 1999-2008) programs. The Northeast Fisheries Science Center (NEFSC) has conducted several ichthyoplankton collection programs on the NEUS Shelf over the past forty years including the Marine Resources Monitoring, Assessment, and Prediction program (MARMAP, 1977 - 1987) and Ecosystem Monitoring (EcoMon, 1999 - present) program (Richardson et al. 2010). Both MARMAP and EcoMon were designed as multi-species plankton surveys, and sampling effort covered the entire NEUS Shelf from Cape Hatteras, North Carolina, to Cape Sable, Nova Scotia (Figure 1, Sibunka and Silverman 1984, 1989; Richardson et al. 2010). 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/560448
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  • 49
    Publication Date: 2022-05-25
    Description: Dataset: Northeast US Adult Fish
    Description: Abundance and proportion of adult fish species of the Northeast U.S. Shelf; bottom trawl surveys were conducted by the Northeast Fisheries Science Center (NEFSC) during 1977-1987 and 1999-2008. 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/560342
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  • 50
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: calvet_ak_ltop
    Description: AK-LTOP CalVET Net Tow counts and biomass collected from multiple cruises from the Northeast Pacific, 1997-2001. 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/3009
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0109078, National Oceanic and Atmospheric Administration (NOAA) unknown NEP NOAA
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  • 51
    Publication Date: 2022-05-25
    Description: Dataset: zooplankton_taxonomy
    Description: Zooplankton taxonomic data from MOCNESS and IONESS tows from VERTIGO cruises KM0414, ZHNG09RR from the Hawaiian Islands HOT Site, NW SubArctic Pacific Ocean K2 Site, 2004-2005 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/3014
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  • 52
    Publication Date: 2022-05-25
    Description: Dataset: tucker and bongo net metadata - CGoA
    Description: Metadata for tucker trawls and bongo net hauls from F/V Great Pacific and R/V Miller Freeman multiple cruises in the Coastal Gulf of Alaska, NE Pacific, 2001-2004. 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/3013
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0109078
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  • 53
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: HPLC pigments WB
    Description: HPLC pigments, EDDIES WB cruises from R/V Weatherbird II WB0409, WB0413, WB0506, WB0508 in the Sargasso Sea from 2004-2005. 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/3023
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0241310
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  • 54
    Publication Date: 2022-05-25
    Description: Dataset: Sulfonates in plankton cultures
    Description: Intracellular sulfonate metabolites were measured in a variety of eukaryotic and prokaryotic phytoplankton and heterotrophic bacteria using liquid chromatography-mass spectrometry-based metabolomics. These data have been published in Durham et al. (2019). Raw data are available at Metabolomics Workbench under Project ID PR000797. 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/814713
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1521564
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  • 55
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Bugula neritina mesocosm symbiont titers
    Description: This dataset includes symbiont titers in Bugula neritina colonies grown under different conditions. 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/820438
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1608709
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  • 56
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Bugula neritina Genotype Distribution
    Description: Bugula neritina host genotype and symbiotic status of colonies along the East Coast, USA, ranging from latitudes 38.61283 to 29.753272. 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/719479
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1608709
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  • 57
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Bigelow Bight fish and lg inverts
    Description: Benthic habitat correlates of juvenile fish: large inverts & fish, from F/V North Star NEC-MD2001-2 in the Gulf of Maine from 2002-2003. 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/3005
    Description: NorthEast Consortium (NEC) unknown NEC-CoopRes NEC
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  • 58
    Publication Date: 2022-05-25
    Description: Dataset: HRR cruise bottle data
    Description: Hydrographic, nutrient and oxygen data from CTD bottles and beam transmission and fluorescence data from CTD profiles during R/V Point Sur PS1809 (HRR legs 1, 2, 3) at the Gulf Mexico, Louisiana and Texas coast, Sept-Oct 2017. 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/784290
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1760620
    Keywords: Gulf of Mexico ; Hurricane Harvey ; Rapid Response ; Phytoplankton community structure
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Electrochemical Data CL2015
    Description: Electrochemistry data from sediments collected on R/V Savannah cruise SAV-15-18 at the Cape Lookout Continental Shelf and Slope during July 2015. 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/786511
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1438648
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  • 60
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: lightProbe_OC
    Description: S. Atlantic light-profiling system data from R/V Oceanus OC404-01, OC404-04, OC415-01, OC415-03 in the Sargasso Sea from 2004-2005. 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/3027
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Pore Water Depth Profiles CL2015
    Description: Sediment pore water and solid phase geochemical analyses from samples collected on R/V Savannah cruise SAV-15-18 at the Cape Lookout Continental Shelf and Slope during July 2015. 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/786268
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1438648
    Repository Name: Woods Hole Open Access Server
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    Publication Date: 2022-05-25
    Description: Dataset: MOC zoop AK-LTOP
    Description: AK-LTOP MOCNESS tow zooplankton abundance and biomass from R/V Alpha Helix, R/V Wecoma multiple cruises in the Northeast Pacific from 1997-2004. 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/3111
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0109078, National Oceanic and Atmospheric Administration (NOAA) unknown NEP NOAA
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: nutrients
    Description: General nutrient data (averages) from Leggo drop 1 seawater collected by 3L Niskin bottle. 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/684340
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536776
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  • 64
    Publication Date: 2022-05-25
    Description: Dataset: Bulk Raw Isotopes - Non-tunas
    Description: Bulk raw isotopic data from tissue samples from two species of ommastrephid cephalopods (squids), two species of mesopelagic myctophid fishes, and two species of euphausiid crustaceans collected in the eastern tropical Pacific Ocean onboard two NOAA research ships. 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/675211
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1040810
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Predation Trials
    Description: Green crab size based predation trials conducted in laboratory mesocosms at Romberg Tiburon Center, Tiburon, CA in 2015. 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/701987
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1514893
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  • 66
    Publication Date: 2022-05-25
    Description: Dataset: tucker catch - CGoA LTOP
    Description: Zooplankton catch data from Tucker trawls from CGOA LTOP cruises from the Coastal Gulf of Alaska, Northeast Pacific, 2001-2003. 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/3010
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0109078, National Oceanic and Atmospheric Administration (NOAA) unknown NEP NOAA
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  • 67
    Publication Date: 2022-05-25
    Description: Dataset: buoy_radiometer
    Description: Radiometer data from autonomous buoy 07949 from ARSV Laurence M. Gould LMG0106 in the Southern Ocean from Aug. to Nov. 2001 (SOGLOBEC project, Sea Ice Microbes project) 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/3117
    Description: NSF Antarctic Sciences (NSF ANT) ANT-9910098
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: ice_properties
    Description: Ice core physical properties from ARSV Laurence M. Gould LMG0106 in the Southern Ocean from July 2001 (SOGLOBEC project). 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/3121
    Description: NSF Antarctic Sciences (NSF ANT) ANT-9910098
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  • 69
    Publication Date: 2022-05-25
    Description: Dataset: ice_thickness
    Description: Ice thickness transect data from ARSV Laurence M. Gould LMG0106, LMG0205 in the Southern Ocean from 2001-2002 (SOGLOBEC project, Sea Ice Microbes project, Crabeater Seal Foraging project). 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/3119
    Description: NSF Antarctic Sciences (NSF ANT) ANT-9910098, NSF Antarctic Sciences (NSF ANT) ANT-9981683
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: cod bycatch redux gear_swimming behavior
    Description: Cod by-catch reducing gear: video observations of fish behavior from Fishing Vessels NEC-MP2000-2 in the Gulf of Maine from 2000-2002 (NEC-CoopRes project). 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/3144
    Description: National Oceanic and Atmospheric Administration (NOAA) unknown NEC-CoopRes NOAA
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  • 71
    Publication Date: 2022-05-25
    Description: Dataset: salp_swarms
    Description: Abundance, size, fecundity of Salpa aspera in the Slope Waters off northeastern USA from R/V Oceanus OC379, OC381 in the slope waters off NJ, DE, MD from June-Sept. 2002. 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/3146
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0002540
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  • 72
    Publication Date: 2022-05-25
    Description: Dataset: flow cytometry
    Description: Direct counts (flow cytometry) on the microbes obtained in the Leggo drop 1 Niskin bottle and the Leg drop 1 pressure-retaining sampler. 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/684323
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536776
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  • 73
    Publication Date: 2022-05-25
    Description: Dataset: OIMB Pier Physical Data 2014-2016
    Description: Physical data (sal, temp, wind, wave height) measured at the Oregon Institute of Marine Biology (OIMB) pier during 2014-2016. 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/682521
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1259603
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  • 74
    Publication Date: 2022-05-25
    Description: Dataset: Bulk Raw Isotopes - Tunas
    Description: Bulk raw isotopic data from tissue samples from three species of tunas collected in the eastern tropical Pacific Ocean onboard commercial tuna purse-seine vessels. 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/675055
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1040810
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  • 75
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Switch RNAseq
    Description: Transcriptional profile of marine bacterium Ruegeria pomeroyi in a three-member co-culture study. This dataset contains the processed, QC'ed, normalized sequence data. The full raw data file is deposited in the NCBI BioProject database under accession PRJNA381627. 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/719970
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1342694
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: AT37-06 Porewater SO4
    Description: Porewater sulfate from samples collected by pushcore from Guaymas Basin hydrothermal sediments on cruise AT37-06 in December 2016. 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/720669
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357238
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  • 77
    Publication Date: 2022-05-25
    Description: Dataset: GN01 Total Aerosol Concentrations
    Description: This dataset contains concentrations of aerosol trace elements collected from bulk aerosol samples on the 2015 US GEOTRACES Western Arctic Transect (USCG Healy GN01). 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/725905
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1438047, NSF Division of Ocean Sciences (NSF OCE) OCE-1435871, NSF Division of Ocean Sciences (NSF OCE) OCE-1437266
    Repository Name: Woods Hole Open Access Server
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  • 78
    Publication Date: 2022-05-25
    Description: Dataset: Srednick et al. 2020 - L&O Methods - temperature
    Description: Temperature from in-situ flume experiments to manipulate pCO2 on shallow tropical coral reef communities at UCB Gump Research Station Moorea, French Polynesia in May of 2018. These data are for a proof of trial experiment for the Shallow COral REef Free Ocean Carbon Enrichment (SCORE FOCE), outlined in Srednick et al. (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/812873
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415268, NSF Division of Ocean Sciences (NSF OCE) OCE-1637396
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Temperature and light data - Strait of Juan de Fuca
    Description: Temperature and light levels for 41 intertidal locations at 5 sites in the Strait of Juan de Fuca, 2009. 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/514182
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0928232
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  • 80
    Publication Date: 2022-05-25
    Description: Dataset: Delaware estuary nutrients
    Description: Nutrients, chlorophyll-a, and light attenuation in the Delaware estuary from the R/V Hugh R. Sharp HRS110805DK, HRS111107DK, HRS120809DK, HRS121112DK, HRS1313, HRS1324 in 2011 - 2013 (PAPI: Photochemistry and Photoheterotroph Interactions project) 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/551239
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1029569, NSF Division of Ocean Sciences (NSF OCE) OCE-1030306
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  • 81
    Publication Date: 2022-05-25
    Description: Author Posting. © American Meteorological Society, 2020. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Journal of Climate 33(9), (2020): 3845-3862, doi:10.1175/JCLI-D-19-0215.1.
    Description: The latitudinal structure of the Atlantic meridional overturning circulation (AMOC) variability in the North Atlantic is investigated using numerical results from three ocean circulation simulations over the past four to five decades. We show that AMOC variability south of the Labrador Sea (53°N) to 25°N can be decomposed into a latitudinally coherent component and a gyre-opposing component. The latitudinally coherent component contains both decadal and interannual variabilities. The coherent decadal AMOC variability originates in the subpolar region and is reflected by the zonal density gradient in that basin. It is further shown to be linked to persistent North Atlantic Oscillation (NAO) conditions in all three models. The interannual AMOC variability contained in the latitudinally coherent component is shown to be driven by westerlies in the transition region between the subpolar and the subtropical gyre (40°–50°N), through significant responses in Ekman transport. Finally, the gyre-opposing component principally varies on interannual time scales and responds to local wind variability related to the annual NAO. The contribution of these components to the total AMOC variability is latitude-dependent: 1) in the subpolar region, all models show that the latitudinally coherent component dominates AMOC variability on interannual to decadal time scales, with little contribution from the gyre-opposing component, and 2) in the subtropical region, the gyre-opposing component explains a majority of the interannual AMOC variability in two models, while in the other model, the contributions from the coherent and the gyre-opposing components are comparable. These results provide a quantitative decomposition of AMOC variability across latitudes and shed light on the linkage between different AMOC variability components and atmospheric forcing mechanisms.
    Description: The authors gratefully acknowledge support from the Physical Oceanography Program of the U.S. National Science Foundation (Awards OCE-1756143 and OCE-1537136) and the Climate Program Office of the National Oceanic and Atmospheric Administration (Award NA15OAR4310088). Gratitude is extended to Claus Böning and Arne Biastoch who shared ORCA025 output. S. Zou thanks F. Li, M. Buckley, and L. Li for helpful discussions. We also thank three anonymous reviewers for helpful suggestions.
    Keywords: Deep convection ; Ocean circulation ; Thermocline circulation
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  • 82
    Publication Date: 2022-05-25
    Description: Dataset: Water Quality
    Description: Water quality data from surveys, experiments and the National Estuarine Research Reserve (NERR) data sonde, sub-tropical estuarine waters, subtidal and intertidal in Apalachicola Bay and Ocholckonee Bay, Florida, 2013-2019. 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/821061
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1917015
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  • 83
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Survey disease oysters
    Description: Oysters size and presence or absence of disease at intertidal and subtidal reefs in Apalachicola Bay and Ocholckonee Bays, Florida, July-August 2016 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/821783
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1917015
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  • 84
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Focal fish foraging
    Description: Fish bite rates of individual 'focal' herbivorous fishes within and outside of canopies at Lameshur Bay, St John, USVI, February and March 2016. 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/826253
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1332915, NSF Division of Ocean Sciences (NSF OCE) OCE-1756381
    Keywords: Grazing impacts ; Restoration ; Ecosystem engineers ; Ecosystem services ; Canopy effect ; Gorgonian ; Fish nursery ; Caribbean ; Habitat-structure
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Edge effect fish assemblage
    Description: Demersal fish feeding rates within and at edges of octocoral communities at Lameshur Bay, St John, USVI, February and March 2016. 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/826263
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1332915, NSF Division of Ocean Sciences (NSF OCE) OCE-1756381
    Keywords: Grazing impacts ; Restoration ; Ecosystem engineers ; Ecosystem services ; Canopy effect ; Gorgonian ; Fish nursery ; Caribbean ; Habitat-structure
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  • 86
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Canopy effect benthic community
    Description: Scleractinian coral counts within and outside of canopies at Lameshur Bay, St John, USVIin February and March 2016. 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/826227
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1332915, NSF Division of Ocean Sciences (NSF OCE) OCE-1756381
    Keywords: Grazing impacts ; Restoration ; Ecosystem engineers ; Ecosystem services ; Canopy effect ; Gorgonian ; Fish nursery ; Caribbean ; Habitat-structure
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  • 87
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Series 1B: cell size and abundance
    Description: Four follow-up experiments on the combined effect of light and temperature changes on the growth rate (mu) and photophysiology of Thalassiosira pseudonana CCMP 1335 were conducted to supplement / repeat series 1A experiments. This was necessary because doubt existed regarding the growth during 1A experiments. 1A experiments were conducted in artificial seawater. 1B experiments were conducted in artificial seawater supplemented with 5% sterilized seawater. The experiments were designed to test the combined effects of four temperatures, and eight light intensities on the growth and photophysiology of the diatom T. pseudonana CCMP1335 in a multifactorial design. This dataset contains measurements of cell abundances and cell size expressed as forward scatter (FSC) as well as in equivalent spherical diameter (ESD) in µm 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/828942
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
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  • 88
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    American Association for the Advancement of Science
    Publication Date: 2022-05-25
    Description: © The Author(s), 2020. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Foukal, N. P., Gelderloos, R., & Pickart, R. S. A continuous pathway for fresh water along the East Greenland shelf. Science Advances, 6(43), (2020): eabc4254, doi:10.1126/sciadv.abc4254.
    Description: Export from the Arctic and meltwater from the Greenland Ice Sheet together form a southward-flowing coastal current along the East Greenland shelf. This current transports enough fresh water to substantially alter the large-scale circulation of the North Atlantic, yet the coastal current’s origin and fate are poorly known due to our lack of knowledge concerning its north-south connectivity. Here, we demonstrate how the current negotiates the complex topography of Denmark Strait using in situ data and output from an ocean circulation model. We determine that the coastal current north of the strait supplies half of the transport to the coastal current south of the strait, while the other half is sourced from offshore via the shelfbreak jet, with little input from the Greenland Ice Sheet. These results indicate that there is a continuous pathway for Arctic-sourced fresh water along the entire East Greenland shelf from Fram Strait to Cape Farewell.
    Description: Funding for this work comes from the NSF under grant numbers OCE-1756361 and OCE-1558742 (N.P.F. and R.S.P.) and grant numbers OCE-1756863 and OAC-1835640 (R.G.).
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Series 2A: POC, PON, Chl-a
    Description: These experiments were designed to test the combined effects of temperatures and light intensity on the growth growth rate (mu) and photophysiology of the diatom Thalassiosira pseudonana CCMP 1014 in a multifactorial design. Experiments were conducted in artificial seawater supplemented with 5% sterilized seawater. Six temperatures (13.5°C, 20°C, 25°C, 29°C, 31°C, and 32.5°C), and eight light intensities (25, 50, 80, 115,190, 300, 400 and 600 umol photons · m-2 · s-1 ) were tested during the course of these experiments.This dataset contains measurements of extracted chlorophyll, particulate organic carbon (POC), and particulate organic nitrogen (PON) made over the course of the experiments. 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/829707
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
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  • 90
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Series 1B: POC, PON, Chl-a
    Description: Four follow-up experiments on the combined effect of light and temperature changes on the growth rate (mu) and photophysiology of Thalassiosira pseudonana CCMP 1335 were conducted to supplement / repeat series 1A experiments. This was necessary because doubt existed regarding the growth during 1A experiments. 1A experiments were conducted in artificial seawater. 1B experiments were conducted in artificial seawater supplemented with 5% sterilized seawater. The experiments were designed to test the combined effects of four temperatures, and eight light intensities on the growth and photophysiology of the diatom T. pseudonana CCMP1335 in a multifactorial design.This dataset contains measurements of extracted chlorophyll, particulate organic carbon (POC), and particulate organic nitrogen (PON) made over the course of the experiments. 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/829025
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
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  • 91
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Series 1B: photophysiology - computed
    Description: Four follow-up experiments on the combined effect of light and temperature changes on the growth rate (mu) and photophysiology of Thalassiosira pseudonana CCMP 1335 were conducted to supplement / repeat series 1A experiments. This was necessary because doubt existed regarding the growth during 1A experiments. 1A experiments were conducted in artificial seawater. 1B experiments were conducted in artificial seawater supplemented with 5% sterilized seawater. The experiments were designed to test the combined effects of four temperatures, and eight light intensities on the growth and photophysiology of the diatom T. pseudonana CCMP1335 in a multifactorial design. This dataset contains measurements of photophysiology using the Light curve (LC3) protocol of the Aquapen-C AP-C 100 fluorometer. 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/829009
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 92
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Series 2A: cell size and abundance
    Description: These experiments were designed to test the combined effects of temperatures and light intensity on the growth growth rate (mu) and photophysiology of the diatom Thalassiosira pseudonana CCMP 1014 in a multifactorial design. Experiments were conducted in artificial seawater supplemented with 5% sterilized seawater. Six temperatures (13.5°C, 20°C, 25°C, 29°C, 31°C, and 32.5°C), and eight light intensities (25, 50, 80, 115,190, 300, 400 and 600 umol photons · m-2 · s-1 ) were tested during the course of these experiments. This dataset contains measurements of cell abundances and cell size expressed as forward scatter (FSC) as well as in equivalent spherical diameter (ESD) in microns. 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/829675
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 93
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Series 1B: pH, DIC, nutrients
    Description: Four follow-up experiments on the combined effect of light and temperature changes on the growth rate (µ) and photophysiology of Thalassiosira pseudonana CCMP 1335 were conducted to supplement / repeat series 1A experiments. This was necessary because doubt existed regarding the growth during 1A experiments. 1A experiments were conducted in artificial seawater. 1B experiments were conducted in artificial seawater supplemented with 5% sterilized seawater. This data set contains the carbonate system parameters.The experiments were designed to test the combined effects of four temperatures, and eight light intensities on the growth and photophysiology of the diatom T. pseudonana CCMP1335 in a multifactorial design. This dataset contains measurements of pH, DIC and macronutrient (N, P and Si) concentrations made over the course of the experiments 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/828910
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 94
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    Unknown
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-05-25
    Description: Dataset: Series 2A: photophysiology - computed
    Description: These experiments were designed to test the combined effects of temperatures and light intensity on the growth growth rate (mu) and photophysiology of the diatom Thalassiosira pseudonana CCMP 1014 in a multifactorial design. Experiments were conducted in artificial seawater supplemented with 5% sterilized seawater. Six temperatures (13.5°C, 20°C, 25°C, 29°C, 31°C, and 32.5°C), and eight light intensities (25, 50, 80, 115,190, 300, 400 and 600 µmol photons · m-2 · s-1 ) were tested during the course of these experiments. This dataset contains measurements of photophysiology using the Light curve (LC3) protocol of the Aquapen-C AP-C 100 fluorometer. 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/829695
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1538602
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 95
    Publication Date: 2022-05-25
    Description: Dataset: GP15 Water column total and particulate Th-234 Leg 2
    Description: Water column total and particulate Thorium-234 from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from October to November 2018. 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/812589
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1735445
    Description: 2021-02-28
    Repository Name: Woods Hole Open Access Server
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  • 96
    Publication Date: 2022-05-25
    Description: Dataset: buoy_therm
    Description: Thermistor data at 10 cm intervals in air, ice, water from autonomous buoys from ARSV Laurence M. Gould LMG0106 in the Southern Ocean, August to November, 2001 for the Southern Ocean GLOBEC project. 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/3115
    Description: NSF Antarctic Sciences (NSF ANT) unknown SOGLOBEC NSF ANT
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 97
    Publication Date: 2022-05-25
    Description: Dataset: bongo net zooplankton
    Description: Zooplankton counts for bongo net hauls in the Gulf of Alaska from F/V Great Pacific GP0401-01, GP0401-02 from October to November 2004. 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/3012
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0109078, National Oceanic and Atmospheric Administration (NOAA) unknown NEP NOAA
    Repository Name: Woods Hole Open Access Server
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  • 98
    Publication Date: 2022-05-25
    Description: Dataset: salmon_thermal
    Description: Salmon otoliths - hatchery thermal marks from F/V Great Pacific, R/V Miller Freeman multiple cruises in the Coastal Gulf of Alaska, NE Pacific from 2001-2004. 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/3016
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0109078, National Oceanic and Atmospheric Administration (NOAA) unknown NEP NOAA
    Repository Name: Woods Hole Open Access Server
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  • 99
    Publication Date: 2022-05-25
    Description: Dataset: salmon_biodata
    Description: Salmon length, weight, sex, stomach data from F/V Great Pacific, R/V Miller Freeman multiple cruises in the Coastal Gulf of Alaska, NE Pacific from 2001-2004. 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/3106
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0109078, National Oceanic and Atmospheric Administration (NOAA) unknown NEP NOAA
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 100
    Publication Date: 2022-05-25
    Description: Author Posting. © American Meteorological Society, 2020. This article is posted here by permission of American Meteorological Society for personal use, not for redistribution. The definitive version was published in Hahn, L. C., Storelvmo, T., Hofer, S., Parfitt, R., & Ummenhofer, C. C. Importance of Orography for Greenland cloud and melt response to atmospheric blocking. Journal of Climate, 33(10), (2020): 4187-4206, doi:10.1175/JCLI-D-19-0527.1.
    Description: More frequent high pressure conditions associated with atmospheric blocking episodes over Greenland in recent decades have been suggested to enhance melt through large-scale subsidence and cloud dissipation, which allows more solar radiation to reach the ice sheet surface. Here we investigate mechanisms linking high pressure circulation anomalies to Greenland cloud changes and resulting cloud radiative effects, with a focus on the previously neglected role of topography. Using reanalysis and satellite data in addition to a regional climate model, we show that anticyclonic circulation anomalies over Greenland during recent extreme blocking summers produce cloud changes dependent on orographic lift and descent. The resulting increased cloud cover over northern Greenland promotes surface longwave warming, while reduced cloud cover in southern and marginal Greenland favors surface shortwave warming. Comparison with an idealized model simulation with flattened topography reveals that orographic effects were necessary to produce area-averaged decreasing cloud cover since the mid-1990s and the extreme melt observed in the summer of 2012. This demonstrates a key role for Greenland topography in mediating the cloud and melt response to large-scale circulation variability. These results suggest that future melt will depend on the pattern of circulation anomalies as well as the shape of the Greenland Ice Sheet.
    Description: This research was supported by the Woods Hole Oceanographic Institution Summer Student Fellow program, by the U.S. National Science Foundation under AGS-1355339 to C.C.U., and by the European Research Council through Grant 758005.
    Keywords: Ice sheets ; Blocking ; Cloud cover ; Topographic effects ; Climate change ; Climate variability
    Repository Name: Woods Hole Open Access Server
    Type: Article
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