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Tilt Current Meter deployed in Visca, Bay Bay City, Leyte, the Philippines, in June 2017
No full textDataset: Tilt Current MeterTilt Current Meter deployed in Visca, Bay Bay City, Leyte, the Philippines, in June 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/862420NSF Division of Ocean Sciences (NSF OCE) OCE-143021
Juvenile oyster shell strength measurements from a dose response experiment with an array of blue crab urine concentrations conducted at Dauphin Island Sea Lab, Dauphin Island, AL in August - Oct 2022
No full textDataset: Dose response evaluation of oyster shell strengthening to varying blue crab urine concentrationsThese data include measurements of juvenile oyster shell strength from a dose response experiment of varying blue crab urine concentrations conducted at Dauphin Island Sea Lab, Dauphin Island, AL in August - Oct 2022.
Study description:
Metabolites from blue crab urine are known to cause shell strengthening in juvenile oysters as a defensive response. Previous studies have identified several bioactive molecules in urine that induce this response in oysters, but others have yet to be identified. In the current study, an array of concentrations of blue crab urine was used to treat oyster juveniles in order to assess the dose-dependency of this response. Oysters were exposed to urine treatments for 8 weeks and their shell strength (N) was measured and standardized to the size of the animals (mm) as a proxy for understanding this defense.
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/884015NSF Division of Ocean Sciences (NSF OCE) OCE-1948423, NSF Division of Ocean Sciences (NSF OCE) OCE-19484412024-06-2
Geochemistry and microscopy from incubation experiments of Chesapeake Bay sediments conducted at Horn Point Laboratory
No full textDataset: Geochemistry and Microscopy from Incubation ExperimentsThese data were collected as part of a sediment incubation experiment, to investigate potential interactions between estuarine cable bacteria and their associated microbial community. Sediments were collected from the main channel of Chesapeake Bay at a mesohaline station that experiences seasonal oxygen depletion. The upper 10 centimeters (cm) of sediment was homogenized under anaerobic conditions, packed into polycarbonate core liners, and incubated in a dark climate-controlled room in aerated aquaria with artificial seawater (S=15.5; T=16 degrees Celsius). In a sub-set of core tubes, a 0.2 micron polycarbonate filter was held embedded at 0.5 cm depth, to block the downward growth of cable bacteria while allowing for porewater diffusion. The sediments (with and without embedded filters) were destructively sampled on 6 dates over 46 days, at which time nucleic acids, samples for microscopy, and samples for porewater geochemistry were collected. Microsensor profiling (oxygen (O2), pH, hydrogen sulfide (H2S)) was conducted alongside the destructive sampling. Associated nucleic acid data are available through NCBI Sequence Read Archive, under Bioproject PRJNA833464. Sediment porewaters were handled anaerobically, and were extracted by centrifugation followed by filtration (0.2 micron in-line filters). Geochemical data include porewater anions (sulfate and chloride) measured by ion chromatography, and ammonium and ferrous iron concentrations measured by standard colorimetric methods. Microscopy data include both counts of cable bacteria measured with FISH oligoprobe DSB706, and total single cell bacteria. The dataset was generated by Pinky Liau under the supervision of Dr. Sairah Malkin, Horn Point Laboratory, U. Maryland Center for Environmental Sciences.
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/883171NSF Division of Ocean Sciences (NSF OCE) OCE-1756877, NSF Division of Ocean Sciences (NSF OCE) OCE-175685
Inert copper and inorganic iodine concentrations from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815) on R/V Roger Revelle from Oct-Nov 2018
No full textDataset: GP15 Iodine Redox Speciation Leg 2This dataset includes inert copper and inorganic iodine concentrations from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815), which was conducted on R/V Roger Revelle from October to November 2018. Iodate was analyzed on UV-Vis Spectrophotometer while Iodide was analyzed on the Hanging Mercury Drop Electrode with the Cathodic Square Wave Stripping Voltammetry setting. Inert copper was determined by Rintaro Moriyasu using the solvent extraction method published in Moriyasu & Moffett, 2022 (doi: 10.1016/j.marchem.2021.104073).
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/873193NSF Division of Ocean Sciences (NSF OCE) OCE-175641
Dissolved concentrations of nickel and copper from bottle samples collected on Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018
No full textDataset: GP15 Dissolved Ni and Cu - Leg 1This dataset contains dissolved concentrations of nickel (Ni) and copper (Cu) from bottle samples. The samples were collected during the U.S. GEOTRACES PMT cruise aboard the R/V Roger Revelle (RR1814 from September 18th to October 21st of 2018). The dataset also includes station number, date, time, latitude, longitude, event number, event description, sample number, depth, and data quality flag. The data from Leg 2 of this transect, RR1815, are available as a related dataset.
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/885319NSF Division of Ocean Sciences (NSF OCE) OCE-173689
Bottle data from R/V Endeavor cruise EN665 in the Gulf of Maine, conducted April 7-12, 2021
No full textDataset: Bottle Data for EN665 Gulf of MaineThis dataset is the bottle data for Cruise EN665 on the R/V Endeavor in the Gulf of Maine, conducted April 7-12, 2021. Included are the CTD rosette data along with nutrient and carbonate chemistry analyses (DIC, TA, and d13C-DIC). Data were collected and analyzed by PI Subhas.
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/884424NSF Division of Ocean Sciences (NSF OCE) OCE-192399
Microbial populations are shaped by dispersal and recombination in a low biomass subseafloor habitat
Get PDF© The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Anderson, R., Graham, E., Huber, J., & Tully, B. Microbial populations are shaped by dispersal and recombination in a low biomass subseafloor habitat. MBio, 13(4), (2022): e0035422, https://doi.org/10.1128/mbio.00354-22.The subseafloor is a vast habitat that supports microorganisms that have a global scale impact on geochemical cycles. Many of the endemic microbial communities inhabiting the subseafloor consist of small populations under growth-limited conditions. For small populations, stochastic evolutionary events can have large impacts on intraspecific population dynamics and allele frequencies. These conditions are fundamentally different from those experienced by most microorganisms in surface environments, and it is unknown how small population sizes and growth-limiting conditions influence evolution and population structure in the subsurface. Using a 2-year, high-resolution environmental time series, we examine the dynamics of microbial populations from cold, oxic crustal fluids collected from the subseafloor site North Pond, located near the mid-Atlantic ridge. Our results reveal rapid shifts in overall abundance, allele frequency, and strain abundance across the time points observed, with evidence for homologous recombination between coexisting lineages. We show that the subseafloor aquifer is a dynamic habitat that hosts microbial metapopulations that disperse frequently through the crustal fluids, enabling gene flow and recombination between microbial populations. The dynamism and stochasticity of microbial population dynamics in North Pond suggest that these forces are important drivers in the evolution of microbial populations in the vast subseafloor habitat.This work was supported by NSF OCE-1062006, OCE-1745589, and OCE-1635208 to J.A.H. The Gordon and Betty Moore Foundation sponsored observatory components at North Pond through grant GBMF1609. The Center for Dark Energy Biosphere Investigations (C-DEBI) (OCE-0939564) supported J.A.H. and B.J.T. This is C-DEBI contribution 598
Particle bulk d15N values from EXPORTS cruises SR1812 on R/V Sally Ride and RR1813 on R/V Roger Revelle in August to September 2018
No full textDataset: Particle bulk d15N valuesThis dataset includes d15N values of bulk nitrogen from size-fractionated and sinking particles collected on the EXPORTS cruises (SR1812 on R/V Sally Ride and RR1813 R/V Roger Revelle) in August to September 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/880376NSF Division of Ocean Sciences (NSF OCE) OCE-183001
Revisiting five decades of Th-234 data: a comprehensive global oceanic compilation
Get PDF© The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Ceballos-Romero, E., Buesseler, K. O., & Villa-Alfageme, M. Revisiting five decades of Th-234 data: a comprehensive global oceanic compilation. Earth System Science Data, 14(6), (2022): 2639–2679, https://doi.org/10.5194/essd-14-2639-2022.We present here a global oceanic compilation of 234Th measurements that collects results from researchers and laboratories over a period exceeding 50 years. The origin of the 234Th sampling in the ocean goes back to 1967, when Bhat et al. (1969) initially studied 234Th distribution relative to its parent 238U in the Indian Ocean. However, it was the seminal work of Buesseler et al. (1992) – which proposed an empirical method to estimate export fluxes from 234Th distributions – that drove the extensive use of the 234Th–238U radioactive pair to evaluate the organic carbon export out of the surface ocean by means of the biological carbon pump. Since then, a large number of 234Th depth profiles have been collected using a variety of sampling instruments and strategies that have changed during the past 50 years. The present compilation is made of a total 223 data sets: 214 from studies published in either articles in refereed journals, PhD theses, or repositories, as well as 9 unpublished data sets. The data were compiled from over 5000 locations spanning all the oceans for total 234Th profiles, dissolved and particulate 234Th activity concentrations (in dpm L−1), and POC:234Th ratios (in µmol dpm−1) from both sediment traps and filtration methods. A total of 379 oceanographic expeditions and more than 56 600 234Th data points have been gathered in a single open-access, long-term, and dynamic repository. This paper introduces the dataset along with informative and descriptive graphics. Appropriate metadata have been compiled, including geographic location, date, and sample depth, among others. When available, we also include water temperature, salinity, 238U data (over 18 200 data points), and particulate organic nitrogen data. Data source and method information (including 238U and 234Th) is also detailed along with valuable information for future data analysis such as bloom stage and steady-/non-steady-state conditions at the sampling moment. The data are archived on the PANGAEA repository, with the dataset DOI https://doi.org/10.1594/PANGAEA.918125 (Ceballos-Romero et al., 2021). This provides a valuable resource to better understand and quantify how the contemporary oceanic carbon uptake functions and how it will change in future.This work was partially funded by the V Research Programme from the Universidad de Sevilla (Elena Ceballos-Romero) and EU FEDER-Junta de Andalucía funded project US-1263369 (María Villa-Alfageme). Ken O. Buesseler was supported in part by NSF under GEOTRACES, NASA as part of the EXPORTS program, and WHOI as part of the Ocean Twilight Zone project. María Villa-Alfageme and Ken O. Buesseler are also part of an IAEA Coordinated Research Project “Behaviour and effects of natural and anthropogenic radionuclides in the marine environment and their use as tracers for oceanographic studies
Deep outer-rise faults in the Southern Mariana Subduction Zone indicated by a machine-learning-based high-resolution earthquake catalog
No full textAuthor Posting. © American Geophysical Union, 2022. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Geophysical Research Letters 49(12), (2022): e2022GL097779, https://doi.org/10.1029/2022GL097779.Outer-rise faults are predominantly concentrated near ocean trenches due to subducted plate bending. These faults play crucial roles in the hydration of subducted plates and the consequent subducting processes. However, it has not yet been possible to develop high-resolution structures of outer-rise faults due to the lack of near-field observations. In this study we deployed an ocean bottom seismometer (OBS) network near the Challenger Deep in the Southernmost Mariana Trench, between December 2016 and June 2017, covering both the overriding and subducting plates. We applied a machine-learning phase detector (EQTransformer) to the OBS data and found more than 1,975 earthquakes. An identified outer-rise event cluster revealed an outer-rise fault penetrating to depths of 50 km, which was inferred as a normal fault based on the extensional depth from tomographic images in the region, shedding new lights on water input at the southmost Mariana subduction zone.This study is supported by National Natural Science Foundation of China (Nos. 91858207, 92158205, 41890813), Hong Kong Research Grant Council Grants (No. 14304820), Award from CORE (a joint research center for ocean research between QNLM and HKUST), Chinese Academy of Sciences (Nos. Y4SL021001, QYZDY-SSW-DQC005), and Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (No. GML2019ZD0205), Faculty of Science at CUHK.2022-12-0