ALBERT

Description: Dataset: BASIN 2019 Sediment properties

Description: Sediments were collected in Fall 2019 across three transects in the Santa Barbara Basin using the ROV Jason during R/V Atlantis cruise AT42-19. This dataset consists of the sediment parameters porosity and 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/867113

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829981, NSF Division of Ocean Sciences (NSF OCE) OCE-1830033

Description: 2022-12-31

Description: Dataset: Acer Fecundity Gamete Bundles

Description: As a secondary assessment of fecundity, colonies of Acropora cerviconis (various genets) were taken to Mote Marine Laboratory in August 2020 for spawning and ex situ assisted sexual reproduction. From genets that spawned, forty random gamete bundles were collected during spawning and the total number of eggs and sperm per bundle were quantified. 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/868493

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1452538

Description: 2022-12-31

Description: Dataset: BASIN 2019 Porewater geochemistry

Description: Sediments were collected in Fall 2019 across three transects in the Santa Barbara Basin using the ROV Jason during R/V Atlantis cruise AT42-19. Porewater was separated from the sediments and geochemical properties measured. 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/867007

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829981, NSF Division of Ocean Sciences (NSF OCE) OCE-1830033

Description: 2022-12-31

Description: Dataset: BASIN 2019 Microbial activity

Description: Sediments were collected in Fall 2019 across three transects in the Santa Barbara Basin using the ROV Jason during R/V Atlantis cruise AT42-19. Microbial activity in the sediments was determined by measuring sulfate reduction rates. 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/867221

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829981, NSF Division of Ocean Sciences (NSF OCE) OCE-1830033

Description: 2022-12-31

Description: Dataset: Acer Fecundity Polpys per Area

Description: Primary fecundity was assessed for Acropora cervicornis corals with known disease susceptibility. This dataset presents information on the number of polyps per area from linear branches of five colonies with 12 genets held in Mote Marine Lab’s spawning nurseries. 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/868308

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1452538

Description: 2022-12-31

Description: Dataset: Acer Fecundity Oocyte Size

Description: Primary fecundity was assessed for Acropora cervicornis corals with known disease susceptibility. This dataset presents information on oocyte sizes from dissections of coral polyps from five adult colonies containing 12 genets held in Mote Marine Lab’s spawning nurseries. 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/843067

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1452538

Description: 2022-12-31

Description: Dataset: Acropora hyacinthus ITS2 amplicon sequencing

Description: This dataset represents ITS2 amplicon sequences from Acropora hyacinthus samples collected at mutliple timepoints in Moorea, French Polynesia after the mass bleaching event of 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/876564

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1935308, NSF Division of Ocean Sciences (NSF OCE) OCE-1935305

Description: 2022-12-31

Description: Dataset: Acer Fecundity Oocyte Number

Description: Primary fecundity was assessed for Acropora cervicornis corals with known disease susceptibility. This dataset presents oocyte numbers from dissections of coral polyps from five adult colonies from 12 genets held in Mote Marine Lab’s spawning nurseries. 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/867314

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1452538

Description: 2022-12-31

Description: Dataset: Upper-pelagic particle numbers from imagery in the Sargasso Sea and in the Gulf of Trieste

Description: This dataset represents Log10-particle numbers per volume versus log10-particle size bins at various threshold levels of the image analysis program taken between 4 and 7-meter depth in the Sargasso Sea and the Gulf of Trieste on July 18, 2021. 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/884596

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2128438

Description: Dataset: Carbonate chemistry

Description: Carbonate chemistry data collected as part of a study of the "Community context and pCO2 impact the transcriptome of the "helper" bacterium Alteromonas in co-culture with picocyanobacteria" (Barreto Filho et al., 2022). The following results abstract describes these data along with related datasets which can be accessed from the "Related Datasets" section of this page. Many microbial photoautotrophs depend on heterotrophic bacteria for accomplishing essential functions. Environmental changes, however, could alter or eliminate such interactions. We investigated the effects of changing pCO2 on gene expression in co-cultures of 3 strains of picocyanobacteria (Synechococcus strains CC9311 and WH8102 and Prochlorococcus strain MIT9312) paired with the ‘helper’ bacterium Alteromonas macleodii EZ55. Co-culture with cyanobacteria resulted in a much higher number of up- and down-regulated genes in EZ55 than pCO2 by itself. Pathway analysis revealed significantly different expression of genes involved in carbohydrate metabolism, stress response, and chemotaxis, with different patterns of up- or down-regulation in co-culture with different cyanobacterial strains. Gene expression patterns of organic and inorganic nutrient transporter and catabolism genes in EZ55 suggested resources available in the culture media were altered under elevated (800 ppm) pCO2 conditions. Altogether, changing expression patterns were consistent with the possibility that the composition of cyanobacterial excretions changed under the two pCO2 regimes, causing extensive ecophysiological changes in both members of the co-cultures. Additionally, significant downregulation of oxidative stress genes inMIT9312/EZ55 cocultures at 800 ppm pCO2 were consistent with a link between the predicted reduced availability of photorespiratory byproducts (i.e., glycolate/2PG) under this condition and observed reductions in internal oxidative stress loads for EZ55, providing a possible explanation for the previously observed lack of “help” provided by EZ55 to MIT9312 under elevated pCO2. The data stored in this archive permit the recalculation of the pH measurements shown in Table 1 of the results publication Barreto Filho et al. (2022). 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/883120

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1851085

Description: Dataset: Results of risk-addition experiment (juvenile oyster condition index)

Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess the sustainability of oyster populations, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three sites within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML), and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from the inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth, and recruitment were checked monthly. At the midpoint and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the traits of juvenile oysters approximately one month after the initiation of the experiment. 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/885817

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540

Description: Dataset: Results of risk-addition experiment (adult oyster survival)

Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability and oyster population, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML) and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth and recruitment were checked monthly. At the mid point and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the survival of adult oysters. 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/884130

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540

Description: Dataset: Results of risk-addition experiment (juvenile oyster growth)

Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability and oyster population, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML) and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth and recruitment were checked monthly. At the mid point and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the growth of juvenile oysters. 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/885493

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540

Description: Dataset: Results of risk-addition experiment (juvenile oyster survival)

Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability and oyster population, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML), and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from the inlet and closest to freshwater input, and the ML site occurs between the inlet and the freshwater input. Oyster survival, growth, and recruitment were checked monthly. At the midpoint and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the survival of juvenile oysters. 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/885259

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540

Description: Dataset: Results of risk-addition experiment (oyster recruitment)

Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability of oyster populations, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML) and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth and recruitment were checked monthly. At the mid point and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the recruitment of larval oysters to the experimental treatments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885720

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540

Description: Dataset: Results of risk-addition experiment (adult oyster condition index)

Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability and oyster population, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML) and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth and recruitment were checked monthly. At the mid point and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the condition index of adult oysters. 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/885078

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540

Description: Dataset: Results of risk-addition experiment (adult oyster growth)

Description: The eastern oyster (Crassostrea virginica) is a foundation species in northeast Florida estuaries, including the Guana Tolomato Matanzas National Estuarine Research Reserve (GTMNERR), where intertidal reefs are extensive. Estuarine research to assess sustainability and oyster population, plus various monitoring studies and oyster reef restoration projects have been undertaken, with an additional focus on testing theory regarding the effects of predation risk in the natural environment. As part of a study that manipulatively “pressed” risk cues onto oyster prey, a field experiment was conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve (Ponte Vedra Beach, Florida) from June to November 2012. Three areas within the southern areas of the GTM NERR (south of Matanzas inlet) were used in the experiment: Summer Island North (SIN), Marine Land (ML) and Pellicer Flats (PF). The SIN site occurred closest to the inlet (farthest from freshwater input), the PF site occurred farthest from inlet and closest to freshwater input, while the ML site occurs between the inlet and the freshwater input. Oyster survival, growth and recruitment were checked monthly. At the mid point and conclusion of the experiment, individual oysters were also destructively sampled to quantify differences in oyster traits (shell versus tissue mass) as a function of experimental treatment and location. This submission concerns the growth of adult oysters. 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/884362

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736943, NSF Division of Ocean Sciences (NSF OCE) OCE-1820540

Description: Abstract. Clouds are assumed to play an important role in the Arctic amplification process. This motivated a detailed investigation of cloud processes, including radiative and turbulent fluxes. Data from the aircraft campaign ACLOUD were analyzed with a focus on the mean and turbulent structure of the cloudy boundary layer over the Fram Strait marginal sea ice zone in late spring and early summer 2017. Vertical profiles of turbulence moments are presented from contrasting atmospheric boundary layers (ABLs) from 4 d. They differ by the magnitude of wind speed, boundary-layer height, stability, the strength of the cloud-top radiative cooling and the number of cloud layers. Turbulence statistics up to third-order moments are presented, which were obtained from horizontal-level flights and from slanted profiles. It is shown that both of these flight patterns complement each other and form a data set that resolves the vertical structure of the ABL turbulence well. The comparison of the 4 d shows that especially during weak wind, even in shallow Arctic ABLs with mixing ratios below 3 g kg-1, cloud-top cooling can serve as a main source of turbulent kinetic energy (TKE).Well-mixed ABLs are generated where TKE is increased and vertical velocity variance shows pronounced maxima in the cloud layer. Negative vertical velocity skewness points then to upside-down convection. Turbulent heat fluxes are directed upward in the cloud layer as a result of cold downdrafts. In two cases with single-layer stratocumulus, turbulent transport of heat flux and of temperature variance are both negative in the cloud layer, suggesting an important role of large eddies. In contrast, in a case with weak cloud-top cooling, these quantities are positive in the ABL due to the heating from the surface. Based on observations and results of a mixed-layer model it is shown that the maxima of turbulent fluxes are, however, smaller than the jump of the net terrestrial radiation flux across the upper part of a cloud due to the (i) shallowness of the mixed layer and (ii) the presence of a downward entrainment heat flux. The mixed-layer model also shows that the buoyancy production of TKE is substantially smaller in stratocumulus over the Arctic sea ice compared to subtropics due to a smaller surface moisture flux and smaller decrease in specific humidity (or even humidity inversions) right above the cloud top. In a case of strong wind, wind shear shapes the ABL turbulent structure, especially over rough sea ice, despite the presence of a strong cloud-top cooling. In the presence of mid-level clouds, cloud-top radiative cooling and thus also TKE in the lowermost cloud layer are strongly reduced, and the ABL turbulent structure becomes governed by stability, i.e., by the surface–air temperature difference and wind speed. A comparison of slightly unstable and weakly stable cases shows a strong reduction of TKE due to increased stability even though the absolute value of wind speed was similar. In summary, the presented study documents vertical profiles of the ABL turbulence with a high resolution in a wide range of conditions. It can serve as a basis for turbulence closure evaluation and process studies in Arctic clouds.

Description: Dataset: RI Functional Trait Data

Description: This dataset represents an archive of the fish functional trait data in the Northeast Atlantic Ocean from fish sampled in the Rhode Island salt ponds from June to October 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/870857

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320

Description: 2023-01-01

Description: Dataset: Temperature Profiles AT15-40 and AT15-56

Description: This dataset includes temperature profiles from hydrothermal sediments sampled near Beggiatoa mats using Alivn's heatlow and temperature probes, deployed from R/V Atlantis cruises AT15-40 and AT15-56 in the Guaymas Basin from 2008-2009. 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/3676

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0647633

Description: Dataset: Deep-sea larvae for microbiome study

Description: This dataset provides the sampling locations and identifications for larvae collected near three deep-sea hydrothermal vent fields and used in a microbiome study by Carrier et al. (2021). This dataset provides metadata for larval and microbiome genetic sequence data in another repository (Carrier et al., 2021, doi.org/10.5061/dryad.sqv9s4n18). The data table is structured as a Darwin Core occurrence table so that it can be harvested by the Ocean Biodiversity Information System (OBIS) and Global Biodiversity Information Facility (GBIF). In addition to the data table, photographs are provided for some of the specimens. 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/839476

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0424953, NSF Division of Ocean Sciences (NSF OCE) OCE-1028862, NSF Division of Ocean Sciences (NSF OCE) OCE-1829773, NSF Division of Ocean Sciences (NSF OCE) DEB-1558904

Description: The presence of reactive bromine in polar regions is a widespread phenomenon that plays an important role in the photochemistry of the Arctic and Antarctic lower troposphere, including the destruction of ozone, the disturbance of radical cycles, and the oxidation of gaseous elemental mercury. The chemical mechanisms leading to the heterogeneous release of gaseous bromine compounds from saline surfaces are in principle well understood. There are, however, substantial uncertainties about the contribution of different potential sources to the release of reactive bromine, such as sea ice, brine, aerosols, and the snow surface, as well as about the seasonal and diurnal variation and the vertical distribution of reactive bromine. Here we use continuous long-term measurements of the vertical distribution of bromine monoxide (BrO) and aerosols at the two Antarctic sites Neumayer (NM) and Arrival Heights (AH), covering the periods of 2003–2021 and 2012–2021, respectively, to investigate how chemical and physical parameters affect the abundance of BrO. We find the strongest correlation between BrO and aerosol extinction (R=0.56 for NM and R=0.28 for AH during spring), suggesting that the heterogeneous release of Br2 from saline airborne particles (blowing snow and aerosols) is a dominant source for reactive bromine. Positive correlations between BrO and contact time of air masses, both with sea ice and the Antarctic ice sheet, suggest that reactive bromine is not only emitted by the sea ice surface but by the snowpack on the ice shelf and in the coastal regions of Antarctica. In addition, the open ocean appears to represent a source for reactive bromine during late summer and autumn when the sea ice extent is at its minimum. A source–receptor analysis based on back trajectories and sea ice maps shows that main source regions for BrO at NM are the Weddell Sea and the Filchner–Ronne Ice Shelf, as well as coastal polynyas where sea ice is newly formed. A strong morning peak in BrO frequently occurring during summer and that is particularly strong during autumn suggests a night-time build-up of Br2 by heterogeneous reaction of ozone on the saline snowpack in the vicinity of the measurement sites. We furthermore show that BrO can be sustained for at least 3 d while travelling across the Antarctic continent in the absence of any saline surfaces that could serve as a source for reactive bromine.

Description: Dataset: Paradox of adaptive trait clines

Description: Background: Multivariate climate change presents an urgent need to understand how species adapt to complex environments. Population genetic theory predicts that loci under selection will form monotonic allele frequency clines with their selective environment, which has led to the wide use of genotype-environment associations (GEAs). This study used a novel set of In silico simulations to elucidate the conditions under which allele frequency clines are more or less likely to evolve as multiple quantitative traits adapt to multivariate environments. Zenodo archive of GitHub Repository of all code used to create the simulations. Every directory includes a README describing the code, and metadata files are included for the archived outputs. Modeling code details: Code was developed 2020-2022 Simulation code was developed in SLiM, recapitated in pyslim, filtered with vcftools, and analyzed with R. Code was developed by K. E. Lotterhos (PI) For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/889769

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2043905

Description: 2024-01-01

Description: Dataset: Bottle chemistry data from AT37-12

Description: The Eastern Tropical North Pacific (ETNP), like the other marine oxygen deficient zones (ODZs), is characterized by an anoxic water column, nitrite accumulation at the anoxic core, and fixed nitrogen loss via nitrite reduction to N2O and N2 gases. Here, we constrain the relative contribution of biogeochemical processes to observable features such as the secondary nitrite maximum (SNM) and local pH maximum by simultaneous measurement of inorganic nitrogen and carbon species. Bottle chemistry data for discrete depths were sampled by CTD rosette from hydrothermal vents in the Eastern Tropical North Pacific during R/V Atlantis cruise AT37-12 in April and May 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/889539

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1559198, NSF Division of Ocean Sciences (NSF OCE) OCE-1559042

Description: Dataset: Distribution of dissolved barium in seawater determined using machine learning

Description: We present a spatially and vertically resolved global grid of dissolved barium concentrations ([Ba]) in seawater determined using Gaussian Process Regression machine learning. This model was trained using 4,345 quality-controlled GEOTRACES data from the Arctic, Atlantic, Pacific, and Southern Oceans. Model output was validated by assessing the accuracy of [Ba] simulations in the Indian Ocean, noting that none of the 1,157 Indian Ocean data were seen by the model during training. We identify a model that can accurate predict [Ba] in the Indian Ocean using six features: depth, temperature, salinity, dissolved oxygen, dissolved phosphate, and dissolved nitrate. This model achieves a mean absolute percentage deviation of 6.3 %. This model was used to simulate [Ba] on a global basis using predictor data from the World Ocean Atlas 2018. The global model of [Ba] is on a 1°x 1° grid with 102 depth levels from 0 to 5,500 m. The dissolved [Ba] output was then used to simulate dissolved Ba* (barium-star), which is the difference between 'observed' and [Ba] predicted from co-located [Si]. Lastly, [Ba] data were combined with temperature, salinity, and pressure data from the World Ocean Atlas to calculate the saturation state of seawater with respect to barite. The model reveals that the volume-weighted mean oceanic [Ba] and and saturation state are 89 nmol kg–1 and 0.82, respectively. These results imply that the total marine Ba inventory is 122±8 ×10¹² mol. 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/885506

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2023456, NSF Division of Ocean Sciences (NSF OCE) OCE-2048604

Description: Dataset: Length measurements

Description: Standard length measurements of a representative subset of northern anchovy (Engraulis mordax) and Stenobrachius leucopsarus collected with MOCNESS during winter and summer sampling in 2019 aboard R/V Sikuliaq, R/V Sally Ride and R/V Atlantis 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/867668

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737399, NSF Division of Ocean Sciences (NSF OCE) OCE-1737364

Description: Dataset: Larval fish identifications and concentrations

Description: Larval fish identifications and concentration (individuals per 1000m3) estimates for all day samples. 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/888753

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737399, NSF Division of Ocean Sciences (NSF OCE) OCE-1737364

Description: Dataset: 2019 BAIT Dissolved Iron Speciation

Description: Dissolved iron-binding organic ligand concentrations and conditional stability constants from GO-FLO water column samples collected in 2019 during four Bermuda Atlantic Iron Time-serires (BAIT) cruises in the Bermuda Atlantic Time-series Study (BATS) region. 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/869081

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829777

Description: Dataset: FK190211 Sediment Geochemistry

Description: Geochemical measurements of porewater from sediment push core samples in the Gulf of California during R/V Falkor cruise FK190211 in 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/821665

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357360

Description: Dataset: Thermal Stress Experiment: Color Score Physiology

Description: Understanding the response of the coral holobiont to environmental change is crucial to inform conservation efforts. The most pressing problem is “coral bleaching,” usually precipitated by prolonged thermal stress. This dataset spans a five week thermal stress experiment in which images were taken of coral individuals and analyzed for a "color score". 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/884220

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: Circum-Antartic Model: four simulation outputs

Description: NetCDF model output of 4 circum-Antartic model simulations covering the Antarctic Continental Shelf from ADD TIME For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/887777

Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1643652, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1643618

Description: Dataset: GP15 Water Column 210Po and 210Pb - Dissolved and Total - Leg 2

Description: This project is part of the international GEOTRACES program, which was created to allow a comprehensive, coordinated study of trace elements and isotopes (TEIs) in the oceans. This project uses the radionuclide pair 210Pb and its grand-daughter, 210Po, to provide important biogeochemical rate information pertinent to the trace elements and isotopes (TEIs) measured during the US GEOTRACES Meridional Transect in the Pacific from Alaska to Tahiti in late 2018. Many processes in the ocean cannot be directly observed and, as such, tracers such as 210Po and 210Pb can be used to provide important constraints on their rates and pathways. 210Po (half-life = 138 d) and 210Pb (half-life = 22.3 y) decay on timescales that are useful to study 1) atmospheric deposition of trace elements, 2) scavenging of particle-reactive trace elements, 3) export of particulate organic carbon (POC) from the photic zone, and 4) the fate of hydrothermal plumes dispersed from the mid-ocean ridge system. The present data set primarily includes measurements of 210Po and 210Pb on filtered water samples (i.e., "dissolved" activities) collected with CTD casts. Surface water samples were collected separately and were unfiltered, so represent "total" activities. Particulate samples also were collected using in situ pumps and those data are reported separately. 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/883797

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736591, NSF Division of Ocean Sciences (NSF OCE) OCE-1736612

Description: 2023-06-30

Description: Dataset: FK190211 water col geochem

Description: 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/821645

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1357360

Description: Dataset: Heatwave Experiment: Color Score Physiology

Description: Two common reef-building corals, Montipora capitata and Pocillopora acuta, were subjected to a extended heatwave scenario. Fragments were allowed to acclimate in experimental tanks for two weeks prior to exposure to one of the following four treatments: Ambient Temperature Ambient pCO2 (ATAC), Ambient Temperature High pCO2 (ATHC), High Temperature Ambient pCO2 (HTAC), and High Temperature High pCO2 (HTHC). The treatment period lasted for a two month period, starting on September 22nd, 2018 and lasting through November 17th, 2018. Following the stress period, coral fragments were exposed to a two-month recovery period in ambient conditions. Throughout the entire four-month experiment, photos of the coral individuals were taken to extract a "color score". This dataset contains the processed data to calculate "color score" values. 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/884208

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: MOCNESS Filtered Volumes

Description: Multiple Opening and Closing Net Environmental Sampling System (MOCNESS) water filtering volumes from 2018 and 2019 taken in the Northern California Current waters sampled aboard the R/V Sikuliaq, R/V Sally Ride and R/V Atlantis. 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/783036

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737399, NSF Division of Ocean Sciences (NSF OCE) OCE-1737364

Description: Dataset: Field experiments of gnathiid isopods and Caribbean reef fish hosts

Description: Gnathiid isopods are common crustacean parasites that inhabit all oceans from shorelines to depths of over 3000 m and use chemical cues to find their marine fish hosts. While gnathiids are host-generalists, hosts vary in their susceptibility to infestation. However, the mechanisms that mediate differential susceptibility are unknown. Here we used field experiments to investigate if the chemical attractiveness of hosts explains differences in the susceptibility of Caribbean reef fishes to infestation by a common Caribbean gnathiid isopod, Gnathia marleyi. We showed that while G. marleyi can detect and locate hosts using only chemical cues, they do not exhibit a preference for chemical cues produced by more susceptible fish species. We conclude that species-specific chemical cues are not the main mechanism driving differences in host susceptibility to gnathiid isopod infestation and that visual or post-attachment factors such as ease of obtaining a blood meal are likely mediators.  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/887304

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536794

Description: Dataset: Behavioral assays of G. marleyi

Description: Gnathiid isopods are common crustacean parasites that inhabit all oceans from shorelines to depths of over 3000 m and use chemical cues to find their marine fish hosts. While gnathiids are host-generalists, hosts vary in their susceptibility to infestation. However, the mechanisms that mediate differential susceptibility are unknown. Here we used laboratory experiments to investigate if the chemical attractiveness of hosts explains differences in susceptibility of Caribbean reef fishes to infestation by a common Caribbean gnathiid isopod, Gnathia marleyi. We showed that while G. marleyi can detect and locate hosts using only chemical cues, they do not exhibit a preference for chemical cues produced by more susceptible fish species. We conclude that species-specific chemical cues are not the main mechanism driving differences in host susceptibility to gnathiid isopod infestation and that visual or post-attachment factors such as ease of obtaining a blood meal are likely mediators.  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/887279

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536794

Description: Dataset: Hydroacoustic Survey Data 2020

Description: Echosounder data from goliath grouper aggregations in Jupiter, FL from August 31 until November 30, 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/858599

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2006293, NSF Division of Ocean Sciences (NSF OCE) OCE-2006295

Description: Dataset: Current Velocity Artificial Reef Jupiter 2020

Description: Current Velocity data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 until December 4, 2020 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/864372

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2006293, NSF Division of Ocean Sciences (NSF OCE) OCE-2006295

Description: Dataset: Wave Height Artificial Reef Jupiter 2020

Description: Wave height data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 August 19, 2020. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/858542

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2006293, NSF Division of Ocean Sciences (NSF OCE) OCE-2006295

Description: Dataset: OIO2-WOD2018

Description: OIO2 is a gridded data product of dissolved oxygen interpolated from shipboard observations archived in the World Ocean Database 2018 (WOD18). The quality-controlled WOD18 data are averaged for each bin at 1°x1° and monthly resolution where mean, variance, and sample size are recorded from 1965 to 2014 for the bottle data, and from 1987 to 2014 for the CTD-O2 data. 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/886218

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2123546

Description: Dataset: AUV Sentry megafaunal presence

Description: Megafaunal presence recorded from AUV Sentry phototransects conducted at sites across the Costa Rica margin from R/V Atlantis cruises AT37-13, AT42-03 in 2017 and 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/847032

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635219

Description: 2023-02-01

Description: Dataset: Thermal Stress Experiment: Untargeted Metabolites

Description: Understanding the response of the coral holobiont to environmental change is crucial to inform conservation efforts. The most pressing problem is “coral bleaching,” usually precipitated by prolonged thermal stress. We used untargeted, polar metabolite profiling to investigate the physiological response of the coral species Montipora capitata and Pocillopora acuta to heat stress. Our goal was to identify diagnostic markers present early in the bleaching response. From the untargeted UHPLC-MS data, a variety of co-regulated dipeptides were found that have the highest differential accumulation in both species. The structures of four dipeptides were determined and showed differential accumulation in symbiotic and aposymbiotic (alga-free) populations of the sea anemone Aiptasia (Exaiptasia pallida), suggesting the deep evolutionary origins of these dipeptides and their involvement in symbiosis. These and other metabolites may be used as diagnostic markers for thermal stress in wild coral. 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/886427

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: Heatwave Experiment: Multivariate Physiology

Description: Two common reef-building corals, Montipora capitata and Pocillopora acuta, were collected from six sites in Kāne'ohe Bay, O'ahu, Hawai'i. Fragments were allowed to acclimate in experimental tanks for two weeks prior to exposure to one of the following four treatments: Ambient Temperature Ambient pCO2 (ATAC), Ambient Temperature High pCO2 (ATHC), High Temperature Ambient pCO2 (HTAC), and High Temperature High pCO2 (HTHC). The treatment period lasted for a two month period, starting on September 22nd, 2018 and lasting through November 17th, 2018. Following the stress period, coral fragments were exposed to a two-month recovery period in ambient conditions. Throughout the entire four-month experiment, fragments were randomly sampled from each tank and treatment for the following physiology parameters: gross photosynthesis, respiration, net photosynthesis (gross photosynthesis - respiration), photosynthesis:respiration ratio, chlorophyll concentration (pigment a and c2), symbiont and host tissue biomass, symbiont:host tissue biomass ratio, host soluble protein, host total antioxidant capacity, and endosymbiont density. Net photosynthesis, chlorophyll concentration, and symbiont tissue biomass were normalized to host surface area (cm-2) and endosymbiont density (cell-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/884544

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: Heatwave Experiment: Photosynthetic Irradiance

Description: Two common reef-building corals, Montipora capitata and Pocillopora acuta, were collected from six sites in Kāne'ohe Bay, O'ahu, Hawai'i. Fragments were allowed to acclimate in experimental tanks for two weeks prior to exposure to one of the following four treatments: Ambient Temperature Ambient pCO2 (ATAC), Ambient Temperature High pCO2 (ATHC), High Temperature Ambient pCO2 (HTAC), and High Temperature High pCO2 (HTHC). The treatment period lasted for a two month period, starting on September 22nd, 2018 and lasting through November 17th, 2018. Following the stress period, coral fragments were exposed to a two-month recovery period in ambient conditions. Fragments were measured for photosynthetic irradiance capacity at four time points during the stress period. This dataset includes calculated outputs from those measurements. 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/884537

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: Thermal Stress Experiment: Experimental Tank Conditions

Description: Experimental tank conditions through the four day acclimation period and five week thermal stress experiment. Temperature in each tank was logged every 10 minutes as well as discrete measurements of temperature, pH, salinity, and conductivity made twice daily. Flow rates of each tank were measured once a day, and light (PAR) was measured once daily in the morning.   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/886196

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: Heatwave Experiment: Temperature HOBO Logger

Description: Two common reef-building corals, Montipora capitata and Pocillopora acuta, were collected from six sites in Kāne'ohe Bay, O'ahu, Hawai'i. Fragments were allowed to acclimate in experimental tanks for two weeks prior to exposure to one of the following four treatments: Ambient Temperature Ambient pCO2 (ATAC), Ambient Temperature High pCO2 (ATHC), High Temperature Ambient pCO2 (HTAC), and High Temperature High pCO2 (HTHC). The treatment period lasted for a two month period, starting on September 22nd, 2018 and lasting through November 17th, 2018. Following the stress period, coral fragments were exposed to a two-month recovery period in ambient conditions. HOBO loggers were placed in each tank and recorded temperature every ten minutes. 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/884738

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: Heatwave Experiment: Growth Rates

Description: Two common reef-building corals, Montipora capitata and Pocillopora acuta, were collected from six sites in Kāne'ohe Bay, O'ahu, Hawai'i. Fragments were allowed to acclimate in experimental tanks for two weeks prior to exposure to one of the following four treatments: Ambient Temperature Ambient pCO2 (ATAC), Ambient Temperature High pCO2 (ATHC), High Temperature Ambient pCO2 (HTAC), and High Temperature High pCO2 (HTHC). The treatment period lasted for a two month period, starting on September 22nd, 2018 and lasting through November 17th, 2018. Following the stress period, coral fragments were exposed to a two-month recovery period in ambient conditions.  Every two weeks, corals were measured for buoyant weight to calculate growth rates.  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/884530

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: Heatwave Experiment: Carbonate Chemistry Parameters

Description: Two common reef-building corals, Montipora capitata and Pocillopora acuta, were collected from six sites in Kāne'ohe Bay, O'ahu, Hawai'i. Fragments were allowed to acclimate in experimental tanks for two weeks prior to exposure to one of the following four treatments: Ambient Temperature Ambient pCO2 (ATAC), Ambient Temperature High pCO2 (ATHC), High Temperature Ambient pCO2 (HTAC), and High Temperature High pCO2 (HTHC). The treatment period lasted for a two month period, starting on September 22nd, 2018 and lasting through November 17th, 2018. Following the stress period, coral fragments were exposed to a two-month recovery period in ambient conditions. Twice a week, water samples were taken and analyzed for carbonate chemistry parameters. 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/884411

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: Heatwave Experiment: Experiment Tank Conditions

Description: Two common reef-building corals, Montipora capitata and Pocillopora acuta, were collected from six sites in Kāne'ohe Bay, O'ahu, Hawai'i. Fragments were allowed to acclimate in experimental tanks for two weeks prior to exposure to one of the following four treatments: Ambient Temperature Ambient pCO2 (ATAC), Ambient Temperature High pCO2 (ATHC), High Temperature Ambient pCO2 (HTAC), and High Temperature High pCO2 (HTHC). The treatment period lasted for a two month period, starting on September 22nd, 2018 and lasting through November 17th, 2018. Following the stress period, coral fragments were exposed to a two-month recovery period in ambient conditions. This datasets includes experimental tank conditions through the acclimation, treatment, and recovery periods.  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/884417

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: GP15 Water Column 210Po and 210Pb - Dissolved and Total - Leg 1

Description: This project is part of the international GEOTRACES program, which was created to allow a comprehensive, coordinated study of trace elements and isotopes (TEIs) in the oceans. This project uses the radionuclide pair 210Pb and its grand-daughter, 210Po, to provide important biogeochemical rate information pertinent to the trace elements and isotopes (TEIs) measured during the US GEOTRACES Meridional Transect in the Pacific from Alaska to Tahiti in late 2018. Many processes in the ocean cannot be directly observed and, as such, tracers such as 210Po and 210Pb can be used to provide important constraints on their rates and pathways. 210Po (half-life = 138 d) and 210Pb (half-life = 22.3 y) decay on timescales that are useful to study 1) atmospheric deposition of trace elements, 2) scavenging of particle-reactive trace elements, 3) export of particulate organic carbon (POC) from the photic zone, and 4) the fate of hydrothermal plumes dispersed from the mid-ocean ridge system. The present data set primarily includes measurements of 210Po and 210Pb on filtered water samples (i.e., "dissolved" activities) collected with CTD casts. Surface water samples were collected separately and were unfiltered, so represent "total" activities. Particulate samples also were collected using in situ pumps and those data are reported separately. 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/883724

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736591, NSF Division of Ocean Sciences (NSF OCE) OCE-1736612

Description: 2023-06-01

Description: Dataset: Thermal Stress Experiment: Targeted Metabolites

Description: M. capitata was exposed to thermal stress during its spawning cycle over the course of 5 weeks, during which polar metabolomic data were collected. We analyzed these data streams individually, and then integrated both data sets using MAGI (Metabolite Annotation and Gene Integration) to investigate molecular transitions and biochemical reactions. 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/886420

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: Heatwave Experiment: Survivorship Probability

Description: Two common reef-building corals, Montipora capitata and Pocillopora acuta, were collected from six sites in Kāne'ohe Bay, O'ahu, Hawai'i. Fragments were allowed to acclimate in experimental tanks for two weeks prior to exposure to one of the following four treatments: Ambient Temperature Ambient pCO2 (ATAC), Ambient Temperature High pCO2 (ATHC), High Temperature Ambient pCO2 (HTAC), and High Temperature High pCO2 (HTHC). The treatment period lasted for a two month period, starting on September 22nd, 2018 and lasting through November 17th, 2018. Following the stress period, coral fragments were exposed to a two-month recovery period in ambient conditions.  Survivorship was tracked every day and analyzed for survivorship probability. This dataset includes the raw data of tracked survivorship.  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/884551

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756623

Description: Dataset: MV1015 Prochlorococcus FCM QPCR

Description: These data include Prochlorococcus cell concentrations (total cell densities by flow cytometry and cell densities for specific ecotypes/clades determined by quantitative PCR). Samples were collected during the C-MORE Biogeochemical Gradients Role in Arranging Planktonic Assemblages (BiG-RAPA) expedition (Cruise MV1015) in the Peru Current and Eastern South Pacific Subtropical Gyre between dates 2010-11-19 and 2010-12-10 along a zonal transect from the northern coast of Chile to the island of Rapa Nui. Prochlorococcus is an important primary producer in the oligotrophic South Pacific Gyre and these data facilitate studies examining Prochlorococcus' ecology. 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/886299

Description: National Science Foundation (NSF) DBI-0424599

Description: Dataset: SPOT Environmental Data 2005-2018

Description: This dataset includes temperature, oxygen, and fluorescence were recorded by a Seabird Scientific SBE25plus Sealogger CTD during San Pedro Ocean Time-series (SPOT) cruises from 2005 to 2018. Nutrient variables include nitrite, nitrate, and phosphate. Satellite sea surface temperature, chlorophyll-a concentration, and surface productivity estimates were downloaded from the NOAA Coastwatch browser website. Leucine and thymidine bacterial production data are also included. 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/885939

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737409, Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) GBMF3779, Simons Foundation (Simons) CBIOMES 549943

Description: Dataset: SSU rRNA Gene Sequencing from SPOT

Description: This study aims to characterize microbes at the San Pedro Ocean Time-series (SPOT) from 2005 to 2018, using small subunit (SSU) rRNA gene sequencing from two size fractions (0.2-1 and 1-80 μm), with a universal primer set that amplifies both prokaryotic 16S and eukaryotic 18S rRNA genes. This allows for direct comparisons of diversity patterns in a single set of analyses. This dataset includes National Center for Biotechnology Information (NCBI) accession numbers and related sample information. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/885982

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737409, Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) GBMF3779, Simons Foundation (Simons) CBIOMES 549943

Description: Global reconstructions of particle biovolume, size distribution, and carbon export flux from the seasonal euphotic zone and maximum winter time mixed layer.

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635632

Description: 2022-06-01

Description: Dataset: Global reconstruction of particle size distribution and carbon export

Description: Global reconstructions of particle biovolume, size distribution, and carbon export flux from the seasonal euphotic zone and maximum winter time mixed layer. 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/856942

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635632

Description: Dataset: MOCNESS Filtered Volumes

Description: Multiple Opening and Closing Net Environmental Sampling System (MOCNESS) water filtering volumes from 2018 and 2019 taken in the Northern California Current waters sampled aboard the R/V Sikuliaq, R/V Sally Ride and R/V Atlantis. 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/783036

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737399, NSF Division of Ocean Sciences (NSF OCE) OCE-1737364

Description: Dataset: Alkalinity, salinity, bivalve biomass, streamflow, and submerged aquatic vegetation.

Description: Alkalinity, Salinity, Bivalve Biomass, Streamflow and Submerged Aquatic Vegetation in Tidal Tributaries of the Chesapeake Bay from 1984 to 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/887278

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1537013, NSF Division of Ocean Sciences (NSF OCE) OCE-1536996, NSF Division of Atmospheric and Geospace Sciences (NSF AGS) AGS‐ 1560339, National Aeronautics & Space Administration (NASA) NNX14AM37G, National Aeronautics & Space Administration (NASA) NNX14AF93G

Description: Dataset: Computed surface partial pressure and air-water flux of carbon dioxide

Description: The data products are calculated partial pressure and air-sea flux of carbon dioxide in the main stem of Chesapeake Bay from 1998 to 2018 and include all the inputs to the calculation as well. 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/887398

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1537013, NSF Division of Ocean Sciences (NSF OCE) OCE-1536996, National Aeronautics & Space Administration (NASA) NNX14AM37G, National Aeronautics & Space Administration (NASA) NNX14AF93G

Description: Springtime Arctic mixed-phase convection over open water in the Fram Strait as observed during the recent ACLOUD (Arctic CLoud Observations Using airborne measurements during polar Day) field campaign is simulated at turbulence-resolving resolutions. The first objective is to assess the skill of large-eddy simulation (LES) in reproducing the observed mixed-phase convection. The second goal is to then use the model to investigate how aerosol modulates the way in which turbulent mixing and clouds transform the low-level air mass. The focus lies on the low-level thermal structure and lapse rate, the heating efficiency of turbulent entrainment, and the low-level energy budget. A composite case is constructed based on data collected by two research aircraft on 18 June 2017. Simulations are evaluated against independent datasets, showing that the observed thermodynamic, cloudy, and turbulent states are well reproduced. Sensitivity tests on cloud condensation nuclei (CCN) concentration are then performed, covering a broad range between pristine polar and polluted continental values. We find a significant response in the resolved mixed-phase convection, which is in line with previous LES studies. An increased CCN substantially enhances the depth of convection and liquid cloud amount, accompanied by reduced surface precipitation. Initializing with the in situ CCN data yields the best agreement with the cloud and turbulence observations, a result that prioritizes its measurement during field campaigns for supporting high-resolution modeling efforts. A deeper analysis reveals that CCN significantly increases the efficiency of radiatively driven entrainment in warming the boundary layer. The marked strengthening of the thermal inversion plays a key role in this effect. The low-level heat budget shifts from surface driven to radiatively driven. This response is accompanied by a substantial reduction in the surface energy budget, featuring a weakened flow of solar radiation into the ocean. Results are interpreted in the context of air–sea interactions, air mass transformations, and climate feedbacks at high latitudes.

Description: Dataset: In-field and experimental measurements of environmental conditions: pCO2

Description: This dataset contains experimental sump pCO2 data. These data were collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). 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/885674

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743

Description: Dataset: In-field and experimental measurements of environmental conditions: nutrients

Description: This dataset contains experimental and in situ seawater nutrient data. These data were collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). 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/885669

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743

Description: Dataset: Sequences for symbiont psbA and ORF host sequences

Description: This dataset contains symbiont psbA and ORF host sequences and accession information at the National Center for Biotechnology Information (NCBI)'s Genbank database. These data were collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). 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/885679

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743

Description: Dataset: Growth and physiology of Pocillopora damicornis: coral physiology

Description: This dataset contains coral physiology and intracellular pH (pHi) data collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). 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/885659

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743

Description: Dataset: In-field and experimental measurements of environmental conditions: temperature

Description: This dataset contains experimental and in situ seawater temperature data collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). 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/885654

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743

Description: Dataset: Growth and physiology of Pocillopora damicornis: pHi

Description: This dataset contains intracellular pH (pHi) data. These data were published in Brown et al. (2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). 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/885646

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743

Description: Dataset: Growth and physiology of Pocillopora damicornis: calcification

Description: This dataset contains the overall change in net calcification of the coral fragments (% change in buoyant weight per day). These data were collected as part of a study of pCO2 variability on the reef-building coral Pocillopora damicornis conducted at Heron Island Research Station, Heron Island, southern Great Barrier Reef in 2021 (Brown et al., 2022). Abstract for all data from the study (Brown et al., 2022) including this dataset: Ocean acidification is a growing threat to coral growth and the accretion of coral reef ecosystems. Corals inhabiting environments that already endure extreme diel pCO2 fluctuations, however, may represent acidification resilient populations capable of persisting on future reefs. Here, we examined the impact of pCO2 variability on the reef-building coral Pocillopora damicornis originating from reefs with contrasting environmental histories (variable reef flat vs. stable reef slope) following reciprocal exposure to stable (218 ± 9) or variable (911 ± 31) diel pCO2 amplitude (μtam) in aquaria over eight weeks. This study measured: growth (net calcification, extension, CaCO3 density) and physiology (dark respiration, light-enhanced dark respiration, host soluble protein, mycosporine-like amino acids, net photosynthesis, photosynthetic efficiency, endosymbiont density, chlorophyll a concentration, intracellular pH) of P. damicornis across treatment and origin. See all datasets related to this publication (https://www.bco-dmo.org/related-resource/885684). 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/885664

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923743

Description: Dataset: Radiocarbon dating of Southeast Pacific sediment cores

Description: There were likely large changes in Southeast (SE) Pacific Ocean biogeochemistry over the last glacial cycle as a consequence of coincident changes in dust flux, oxygenation, and latitudinal position of the Subantarctic and Antarctic Fronts. However, there are few available sediment core records with reliable chronologies for this time interval despite the large number of archived cores collected between the 1960s and 1990s. The apparent reason is that, except for sites in proximity to the South American continental margin, sedimentation rates are often lower than 1 cm/kyr and calcium carbonate is only well preserved on topographic highs. As part of a project to study past nitrogen fixation, we surveyed archived cores from the SE Pacific and selected the most promising for radiocarbon dating of the planktonic foraminiferal fraction.  While many cores have core tops were found to be older than detectable with radiocarbon, a number have core tops ages within the Holocene and sediment accumulation rates centering on 1.5 cm/kyr.  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/886679

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1602810

Description: Dataset: Salinity tolerance without acclimation: Mortality

Description: The mortality of oyster spat spawned from four different wild broodstocks (first filial generation) was measured when exposed to five different salinities (without acclimation) under controlled laboratory conditions. Oyster broodstocks were sourced from two populations in Louisiana (Calcasieu Lake; 29°50′58′′N, 93°17′1′′W, and Vermilion Bay; 29°34′47′′N, 92°2′4′′W) and two populations in Texas (Packery Channel; 27°37′38′′N, 97°13′59′′W, and Aransas Bay; 28°7′38′′N, 96°59′8′′W). Mortality was recorded in oyster spat that were exposed to salinities of 2, 4, 20, 38 and 44 without acclimation under laboratory conditions. Changes in water quality and spat size were also recorded. 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/870210

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737207

Description: Dataset: Seawater and Extrapallial fluid Concentration

Description: Trace, minor, and major element data from adult Eastern oyster ocean acidification exposure experiments were conducted at the Ries Lab at the Northeastern University Marine Science Center on samples from Plum Island Sound in 2017. This dataset represents the phenotypic and molecular responses in the extrapallial fluid in the adult eastern oyster (Crassostrea virginica) exposed to experimental ocean acidification (OA) over 80 days. 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/888887

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635423

Description: Dataset: Shell Concentrations

Description: Trace, minor, and major element data from adult Eastern oyster ocean acidification exposure experiments were conducted at the Ries Lab at the Northeastern University Marine Science Center on samples from Plum Island Sound in 2017. This dataset represents shell Concentrations of the adult eastern oyster (Crassostrea virginica) exposed to experimental ocean acidification (OA) over 80 days. 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/888902

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635423

Description: Dataset: Molar Ratios

Description: Trace, minor, and major element data from adult Eastern oyster ocean acidification exposure experiments were conducted at the Ries Lab at the Northeastern University Marine Science Center on samples from Plum Island Sound in 2017. This dataset represents molar ratio data that were processed using R, using the graphical interface RStudio and then converted to molar ratios to calcium. 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/888911

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635423

Description: Dataset: Salinity tolerance without acclimation: Water Quality

Description: The mortality of oyster spat spawned from four different wild broodstocks (first filial generation) was measured when exposed to five different salinities (without acclimation) under controlled laboratory conditions. Oyster broodstocks were sourced from two populations in Louisiana (Calcasieu Lake; 29°50′58′′N, 93°17′1′′W, and Vermilion Bay; 29°34′47′′N, 92°2′4′′W) and two populations in Texas (Packery Channel; 27°37′38′′N, 97°13′59′′W, and Aransas Bay; 28°7′38′′N, 96°59′8′′W). Mortality was recorded in oyster spat that were exposed to salinities of 2, 4, 20, 38 and 44 without acclimation under laboratory conditions. Changes in water quality and spat size were also recorded. 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/870316

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737207

Description: Dataset: Salinity tolerance without acclimation: Shell Heights

Description: The mortality of oyster spat spawned from four different wild broodstocks (first filial generation) was measured when exposed to five different salinities (without acclimation) under controlled laboratory conditions. Oyster broodstocks were sourced from two populations in Louisiana (Calcasieu Lake; 29°50′58′′N, 93°17′1′′W, and Vermilion Bay; 29°34′47′′N, 92°2′4′′W) and two populations in Texas (Packery Channel; 27°37′38′′N, 97°13′59′′W, and Aransas Bay; 28°7′38′′N, 96°59′8′′W). Mortality was recorded in oyster spat that were exposed to salinities of 2, 4, 20, 38 and 44 without acclimation under laboratory conditions. Changes in water quality and spat size were also recorded. 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/870248

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737207

Description: Dataset: Elemental and isotopic noble gas ratios and N2/Ar from the North Atlantic: TTO data

Description: This dataset includes measurements of Kr/Ar and N2/Ar ratios in stored dissolved gas samples collected in 1981 through the Transient Tracers in the Ocean (TTO) program. These data were used, along with new observations of heavy noble gas ratios (elemental and isotopic ratios) from the Bermuda Atlantic Time-series (BATS) on cruise 10391 (30 April 2022 - 05 May 2022), to model simulations of these tracers using the Transport Matrix Method (TMM). Together these new measurements and model simulations provide insight into physical processes governing gas exchange in the high-latitude regions of North Atlantic Deep Water formation, and a comparison of physical simulations of N2/Ar ratios to observations in TTO samples reveals excess N2 that arises from benthic denitrification in the deep North Atlantic. 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/890427

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2122427, NSF Division of Ocean Sciences (NSF OCE) OCE-1923915

Description: Dataset: Elemental and isotopic noble gas ratios and N2/Ar from the North Atlantic: BATS data

Description: This dataset includes new observations of heavy noble gas ratios (elemental and isotopic ratios) from the Bermuda Atlantic Time-series (BATS) on cruise 10391 on R/V Atlantic Explorer (AE2208) from 30 April 2022 - 05 May 2022. These data were used, along with measurements of Kr/Ar and N2/Ar ratios in stored dissolved gas samples from the Transient Tracers in the Ocean (TTO) program, to model simulations of these tracers using the Transport Matrix Method (TMM). Together these new measurements and model simulations provide insight into physical processes governing gas exchange in the high-latitude regions of North Atlantic Deep Water formation, and a comparison of physical simulations of N2/Ar ratios to observations in TTO samples reveals excess N2 that arises from benthic denitrification in the deep North Atlantic. 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/890342

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2122427, NSF Division of Ocean Sciences (NSF OCE) OCE-1923915

Description: Dataset: Stable Isotope 13C and 15N

Description: These are raw data from isotopic analysis of ¹³C and ¹⁵N for sponges, coral, and zooxanthellae (family Symbiodiniaceae) used in a 'pulse-chase' experiment to examine the uptake of sponge-derived nutrients by the coral holobiont. Coral were collected from the Florida Keys National Marine Sanctuary and the experiments were carried out at the Climate and Acidification Ocean Simulator (CAOS) at Mote Marine Laboratory at Summerland Key, Florida, USA. 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/889857

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1924540, NSF Division of Ocean Sciences (NSF OCE) OCE-1923962

Description: Dataset: Elemental and isotopic noble gas ratios and N2/Ar from the North Atlantic: model simulations

Description: This dataset includes model simulations of the following tracers using the Transport Matrix Method (TMM): (i) new observations of heavy noble gas ratios (elemental and isotopic ratios) from the Bermuda Atlantic Time-series (BATS) on cruise 10391 (30 April 2022 - 05 May 2022), and (ii) measurements of Kr/Ar and N2/Ar ratios in stored dissolved gas samples collected in 1981 through the Transient Tracers in the Ocean (TTO) program. Together these measurements and model simulations provide insight into physical processes governing gas exchange in the high-latitude regions of North Atlantic Deep Water formation, and a comparison of physical simulations of N2/Ar ratios to observations in TTO samples reveals excess N2 that arises from benthic denitrification in the deep North Atlantic. 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/890293

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2122427, NSF Division of Ocean Sciences (NSF OCE) OCE-1923915

Description: Dataset: Temperature Loggers

Description: Temperature loggers (HOBO) placed in two locations (HOBO1: 10.74373, 124.78668, HOBO2: 10.74364, 124.78665) off the coast of the West coast of Leyte, the Philippines , 2012-2019. 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/862415

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1430218

Description: Dataset: ProteOMZ Exclusive Peptide Level Spectral Counts

Description: Relative protein abundance from scaled and corrected exclusive peptide spectral counts from 20-1250 m in the water column (0.2-3 µm filter size fraction) from the ProteOMZ R/V Falkor expedition. There are a total of 107,579 unique peptide sequences from 56,543 protein groups (88,251 proteins). Exclusive spectral counts are provided per sample as are the full dataset scaled and normalized spectral counts. The protein distributions in this dataset highlight the microbial dynamics across biomes in the central Pacific Ocean. These data were submitted in Saunders et al. (2022). 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/868030

Description: Gordon and Betty Moore Foundation: Marine Microbiology Initiative (MMI) GBMF3782, Schmidt Ocean Institute (SOI) R/V Falkor 160115 SOI ProteOMZ Expedition

Description: Dataset: EN616 CTD hydrography

Description: Hydrography and environmental conditions were measured with CTD at nine stations during R/V Endeavor cruise EN616 in July 2018. The stations ranged from the New England Continental Shelf, New England Continental Slope, to the Sargasso Sea ocean regions. 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/887800

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635748

Description: Dataset: Data for ambient concentrations of three DOC compounds (acetate, glycerol, mannitol)

Description: This data set provides ambient concentrations of three dissolved organic compound (acetate, glycerol and mannitol) measured from water samples taken during R/V Endeavor cruise EN616 in the northwest Atlantic in July 2018. These concentrations were derived using new analytical methods described in the below-referenced Science Advances manuscript by Balch et al. 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/887851

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635748

Description: Dataset: LB_2012_LB1_tchain

Description: Moored time-series records of temperature measured every 5 minutes (300sec) by 25 Onset HOBO Water Temperature Data Loggers mounted on a tautline mooring. Collected from the LB1 Mooring, R/V Savannah (LB-2012-LB1, SAV-12-02) in the South Atlantic Bight continental shelf off Long Bay during 2012. 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/639382

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1032285, NSF Division of Ocean Sciences (NSF OCE) OCE-1032276

Description: Dataset: GP16 Lead dissolved

Description: Dissolved lead (Pb) along the US GEOTRACES East Pacific Zonal Transect from the R/V Thomas G. Thompson TN303 cruise in the Eastern Tropical Pacific, Peru to Tahiti during 2013. 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/646842

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1234213

Description: Dataset: benthic invert codes

Description: 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/523731

Description: NSF Division of Environmental Biology (NSF DEB) DEB-0841441, NSF Division of Environmental Biology (NSF DEB) DEB-0343570

Description: Dataset: GT10 - Spctrl_Absp

Description: Spectral absorption coefficients of phytoplankton along US GEOTRACES North Atlantic Transect from the R/V Knorr KN199-04 cruise in the subtropical N. Atlantic in 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/3867

Description: National Aeronautics & Space Administration (NASA) NNX09AN94G

Description: Dataset: octocoral - sp. abundance and distribution

Description: Octocorals, scleractinia, macroalgae surveys describing species abundance and distribution on St. John and St. Thomas, USVI in 2011 (St. John LTREB project, VI Octocorals 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/630404

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1332915, NSF Division of Ocean Sciences (NSF OCE) OCE-1334052, NSF Division of Environmental Biology (NSF DEB) DEB-1350146

Description: Dataset: ETNP dissolved Cd, Ni, Mn, and light rare earth elements (La, Ce, Pr, and Nd)

Description: Oxygen deficient zones (ODZs) play an important role in the distribution and cycling of trace metals in the ocean, as important sources of metals including Fe and Mn to the ocean, and also as possible sinks of chalcophile elements such as Cd. The Eastern Tropical North Pacific (ETNP) ODZ is one of the three largest ODZs worldwide. Here we present results from two sectional surveys through the ETNP ODZ (23N-14N, 105W-130W) conducted during two cruises of the R/V Roger Revelle, RR1804 and RR1805, from March to April 2018, providing a high-resolution concentrations of dissolved Cd, Ni, Mn, La, Ce, Pr, and Nd in seawater. 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/872434

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1636332

Description: Dataset: inverts - Tektite and Yawzi Pt

Description: Benthic invertebrates from Tektite site, USVI: 1988-2007. 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/523747

Description: NSF Division of Environmental Biology (NSF DEB) DEB-0841441, NSF Division of Environmental Biology (NSF DEB) DEB-0343570

Description: Dataset: BOWLS sample log

Description: Metadata associated with genomic and genetic data collected from organisms obtained on BOWLs landers, R/V Oceanus June 22-27, 2014. 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/662996

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1155188

Description: Dataset: FlowCAM imaging cytometer data from EN616 cruise

Description: This dataset presents imaging cytometer data from water samples collected during R/V Endeavor cruise EN616. Niskin bottle samples were taken at nine stations and eight depths in the northwest Atlantic in July 2018. A Yokogawa FlowCAM imaging cytometer was used to enumerate the major microalgal classes, and the particle size distribution function was estimated. 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/887787

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635748

Description: Dataset: Delaware estuary solar irradiance

Description: This data set is a compilation of solar irradiance data that were collected during the PAPI cruises 1 through 6 in the Delaware Estuary from Aug. 2009 to Nov. 2013. Data were obtained to support photobiological and photochemical experiments. (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/551609

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1029569, NSF Division of Ocean Sciences (NSF OCE) OCE-1030306

Description: Dataset: nutrients_LMG

Description: Nitrate, nitrite, phosphate, ammonia, and silica were measured from selected niskin bottle tripped from hydrocasts on RV\LMGould cruises from 2001 and 2002 in the Southern Ocean. Water samples were not taken on all casts. All concentrations are reported in micromoles per liter. For 2002 cruises, the oxygen is also reported. 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/3208

Description: NSF Antarctic Sciences (NSF ANT) unknown SOGLOBEC NSF ANT

Description: Dataset: Composition of marine invertebrate communities across latitude with exposure to predation

Description: Composition of sessile marine invertebrates from coastal sites across a latitudinal gradient spanning the subarctic to the tropics. Invertebrate communities developed under low predation for three or 12 months within cages and then underwent exposure to predation or were re-caged as controls. This experiment provided an assessment of predation impact on mature communities to complement predator exclusion experiments that measured impact of predators on prey community assembly. 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/862068

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1434528

Description: Dataset: inverts - pooled

Description: Benthic invertebrates from 6 sites pooled, USVI: 1992-2007. 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/525499

Description: NSF Division of Environmental Biology (NSF DEB) DEB-0841441, NSF Division of Environmental Biology (NSF DEB) DEB-0343570

Description: Dataset: eventlogs

Description: Cruise Event Logs from 15 vessels for 116 U.S. GLOBEC cruises from 1997-2004 in the Northeast Pacific and Gulf of Alaska areas 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/2341

Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0000733, NSF Division of Ocean Sciences (NSF OCE) OCE-9732386, National Oceanic and Atmospheric Administration (NOAA) NA67RJ0151 (NEP), National Oceanic and Atmospheric Administration (NOAA) NA86OP0589 (NEP)

Description: Dataset: CsRV1 virus genotypes across the Atlantic coast of N and S America

Description: This record contains nucleotide sequences of CsRV1 virus amplified from blue crabs (Callinectes sapidus) across the study region. RNA from crabs identified as infected using a sensitive Rt-qPCR assay was amplified using primers specific to segment and segment 9 of the virus genome. A subset of CsRV1-positive RNA preparations were amplified using a full-genome amplification set of primers to amplify the entire CsRV1 genome. (http://primal.zibraproject.org; Quick et al. 2017). The segment-specific data: seg9 (960 nt amplicon) and seg8 (807 nt amplicon) were trimmed and used to create maximum likelihood trees. Similarly, the full genome sequences were used for a maximum likelihood tree. In total, 22 complete or near-complete genomes, 42 seg8 ORF sequences, and 96 seg9 ORF sequences of CsRV1 were collected from 15 geographic locations along the US Atlantic coast, Gulf of Mexico, Caribbean Sea and S. America between 2006 – 2021. Sequence generation and tree building was accomplished by Mingli Zhao with input from coauthors Plough and Kough. Pairwise analyses and ML trees can be found in the Supplemental Materials of results publication Zhao et al. (2023). The sequences generated in this study are deposited in NCBI GenBank, with accession numbers OP067244-OP067635 and are accessible under BioProject PRJNA939818. 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/890835

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