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  • Articles  (1,858)
  • American Chemical Society  (1,750)
  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (106)
  • American Institute of Physics (AIP)
  • American Physical Society (APS)
  • 2020-2024  (1,858)
Collection
  • Articles  (1,858)
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  • 1
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    Passive Sampler Derived Profiles and Mass Flows of Perfluorinated Alkyl Substances (PFASs) across the Fram Strait in the North Atlantic (2024)
    American Chemical Society
    In:  EPIC3Environmental Science & Technology Letters, American Chemical Society
    Details
    Publication Date: 2024-01-24
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 2
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    Critical Drift in a Neuro-Inspired Adaptive Network (2023)
    American Physical Society (APS)
    In:  EPIC3Physical Review Letters, American Physical Society (APS), 130(18), pp. 188401-188401, ISSN: 0031-9007
    Details
    Publication Date: 2023-12-05
    Description: It has been postulated that the brain operates in a self-organized critical state that brings multiple benefits, such as optimal sensitivity to input. Thus far, self-organized criticality has typically been depicted as a one-dimensional process, where one parameter is tuned to a critical value. However, the number of adjustable parameters in the brain is vast, and hence critical states can be expected to occupy a high-dimensional manifold inside a high-dimensional parameter space. Here, we show that adaptation rules inspired by homeostatic plasticity drive a neuro-inspired network to drift on a critical manifold, where the system is poised between inactivity and persistent activity. During the drift, global network parameters continue to change while the system remains at criticality.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
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  • 3
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    Salinity tolerance of oysters without acclimation in lab conditions: mortality (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    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
    Keywords: Crassostrea virginica ; oyster mortality ; salinity acclimation
    Repository Name: Woods Hole Open Access Server
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  • 4
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    Seawater concentration data from an ocean acidification exposure experiment on adult Eastern oysters from Plum Island Sound in 2017 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    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
    Keywords: Oyster ; extrapallial fluid ; trace elements ; ocean acidification
    Repository Name: Woods Hole Open Access Server
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  • 5
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    Shell Concentrations from an adult Eastern oyster ocean acidification exposure experiment on adult Eastern oysters from Plum Island Sound in 2017 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    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
    Keywords: Oyster ; extrapallial fluid ; trace elements ; ocean acidification
    Repository Name: Woods Hole Open Access Server
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  • 6
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    Molar Ratios from an adult Eastern oyster ocean acidification exposure experiment at the Northeastern University Marine Science Center in 2017 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    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
    Keywords: Oyster ; extrapallial fluid ; trace elements ; ocean acidification
    Repository Name: Woods Hole Open Access Server
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  • 7
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    Salinity tolerance of oysters without acclimation in lab conditions: Water Quality (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    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
    Keywords: Crassostrea virginica ; oyster mortality ; salinity acclimation
    Repository Name: Woods Hole Open Access Server
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  • 8
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    Salinity tolerance of oysters without acclimation in lab conditions: shell heights (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    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
    Keywords: Crassostrea virginica ; Oystermortality ; salinity acclimation
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 9
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    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 North Atlantic Survey (NAS) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    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
    Keywords: noble gas ; North Atlantic ; nitrogen ; gas exchange
    Repository Name: Woods Hole Open Access Server
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  • 10
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    Elemental and isotopic noble gas ratios from the Bermuda Atlantic Time-series (BATS) on cruise 10391 on R/V Atlantic Explorer (AE2208) from 30 April 2022 to 05 May 2022 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    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
    Keywords: noble gas ; North Atlantic ; nitrogen ; gas exchange
    Repository Name: Woods Hole Open Access Server
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  • 11
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    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 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    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
    Repository Name: Woods Hole Open Access Server
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  • 12
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    Model simulations of elemental and isotopic heavy noble gas ratios using the Transport Matrix Method (TMM) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-28
    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
    Keywords: noble gas ; North Atlantic ; nitrogen ; gas exchange
    Repository Name: Woods Hole Open Access Server
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  • 13
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    Superparamagnetic Iron Oxide Nanoparticle Nanodevices Based on Fe3O4 Coated by Megluminic Ligands for the Adsorption of Metal Anions from Water (2023)
    American Chemical Society
    Details
    Publication Date: 2023-01-16
    Description: The uptake ability toward arsenic(V), chromium(VI), and boron(III) ions of ad hoc functionalized magnetic nanostructured devices has been investigated. To this purpose, ligands based on meglumine have been synthesized and used to coat magnetite nanoparticles (Fe3O4) obtained by the co-precipitation methodology. The as-prepared hybrid material was characterized by infrared spectroscopy (IR), X-ray diffraction, thermogravimetric analysis, and scanning electron microscopy combined with energy-dispersive X-ray analysis. Moreover, its magnetic hysteresis properties were measured to evaluate its magnetic properties, and the adsorption kinetics and isothermal models were applied to discern between the different adsorption phenomena. Specifically, the better fitting was observed by the Langmuir isotherm model for all metal ions tested, highlighting a higher uptake in arsenic (28.2 mg/g), chromium (12.3 mg/g), and boron (23.7 mg/g) sorption values if compared with other magnetic nanostructured materials. After adsorption, an external magnetic stimulus can be used to efficiently remove nanomaterials from the water. Finally the nanomaterial can be reused up to five cycles and regenerated for another three cycles.
    Description: Published
    Description: 10775–10788
    Description: 1A. Geomagnetismo e Paleomagnetismo
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 14
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    Experimental sump pCO2 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 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    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
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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  • 15
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    Experimental and in situ seawater nutrient 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 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    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
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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  • 16
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    Symbiont psbA and ORF host sequences generated 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 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    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
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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  • 17
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    Coral physiology and intracellular pH (pHi) 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 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    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
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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  • 18
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    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 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    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
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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  • 19
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    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 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    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
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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  • 20
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    Net calcification of coral fragments 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 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-18
    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
    Keywords: ocean acidification ; coral reefs ; acclimatization ; environmental variability ; extreme environments
    Repository Name: Woods Hole Open Access Server
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  • 21
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    Nucleotide sequences of CsRV1 virus amplified from blue crabs (Callinectes sapidus) from coastal waters and estuaries in North and South America, including the Caribbean and Gulf of Mexico from 2006 to 2020 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    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
    Keywords: phylgenomics ; crab virus ; connectivity
    Repository Name: Woods Hole Open Access Server
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  • 22
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    Coccolithophore counts from polarized microscopy birefringence measurements of samples collected in the Northwest Atlantic during R/V Endeavor cruise EN616 in July 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    Description: Dataset: Coccolithophore birefringence from polarized microscopy
    Description: This dataset presents polarized microscopy-derived concentration data for coccolithophores and detached coccoliths in samples collected from stations in the Northwest Atlantic during R/V Endeavor cruise EN616 in July 2018. Counts are based on image analysis of dark-field, cross-polarized views of filtered particulate matter. These counts take advantage of the birefringence property of calcium carbonate (particulate inorganic carbon) that it rotates the plane of linearly polarized incident light by 90 degrees. Incident light directed upwards, towards the microscope slide, is polarized 90 degrees with a linear polarizer. Particles are viewed from above the slide, through a second, linear polarizer filter held between the microscope stage and the camera which only accepts light that is polarized orthogonal to the lower polarizer. Calcium carbonate particles in the beam appear as bright dots of light. Image analysis software then analyzes the pattern of birefringence and enumerates only those particles with size and shape of coccolithophores or detached coccoliths. 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/887863
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635748
    Keywords: Coccolithophore ; birefringence ; polarized microscopy ; phytoplankton enumeration ; coccoliths
    Repository Name: Woods Hole Open Access Server
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  • 23
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    Sponge Density, Morphology, and Assemblages from repeated surveys in St. Thomas, U.S. Virgin Islands, before and after the 2017 hurricane season (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    Description: Dataset: Sponge Density, Morphology, and Assemblages
    Description: Prior to the 2017 hurricanes, six shallow (8-15 meter depth) reef sites had been selected from the Virgin Islands Territorial Coral Reef Monitoring Program’s (TCRMP) permanent monitoring sites to study variation in sponge communities- Black Point (BP), Coculus Rock (CR), and Magens Bay (MB), which are in embayments with heavily developed watersheds. Buck Island (BI) and Savana Island (SI) are located near undeveloped offshore cays. Botany Bay (BB) is a nearshore site in a bay with a low level of watershed development. This dataset represents sponge density, morphology, and assemblages from these repeated surveys before and after the 2017 hurricane season. We used three randomly selected transects out of the six permanently established 10-meter TCRMP transects at each site. The same three transects at each site were re-surveyed repeatedly in August 2016 (pre-hurricanes), December 2017 (10 weeks post-hurricanes), March 2018 (24 weeks post-hurricanes), November 2018 (61 weeks post-hurricanes), and July 2019 (93 weeks post-hurricanes). 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/890333
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1807807
    Description: 2024-01-01
    Keywords: sponges ; hurricanes ; coral reef diversity ; storm recovery ; resilience
    Repository Name: Woods Hole Open Access Server
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  • 24
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    Sponge volume from repeated surveys in St. Thomas, U.S. Virgin Islands, before and after the 2017 hurricane season (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    Description: Dataset: Post-hurricane Sponge Volume
    Description: Prior to the 2017 hurricanes, six shallow (8-15 meter depth) reef sites had been selected from the Virgin Islands Territorial Coral Reef Monitoring Program’s (TCRMP) permanent monitoring sites to study variation in sponge communities - Black Point (BP), Coculus Rock (CR), and Magens Bay (MB), which are in embayments with heavily developed watersheds. Buck Island (BI) and Savana Island (SI) are located near undeveloped offshore cays. Botany Bay (BB) is a nearshore site in a bay with a low level of watershed development. This dataset represents sponge volume from these repeated surveys before and after the 2017 hurricane season. We used three randomly selected transects out of the six permanently established 10-meter TCRMP transects at each site. The same three transects at each site were re-surveyed repeatedly in August 2016 (pre-hurricanes), December 2017 (10 weeks post-hurricanes), March 2018 (24 weeks post-hurricanes), November 2018 (61 weeks post-hurricanes), and July 2019 (93 weeks post-hurricanes). 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/889972
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1807807
    Description: 2024-01-01
    Keywords: sponges ; hurricanes ; coral reef diversity ; storm recovery ; resilience
    Repository Name: Woods Hole Open Access Server
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  • 25
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    Raw cover of sponges from repeated surveys in St. Thomas, U.S. Virgin Islands, before and after the 2017 hurricane season (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    Description: Dataset: Raw Cover
    Description: Prior to the 2017 hurricanes, six shallow (8-15 meter depth) reef sites had been selected from the Virgin Islands Territorial Coral Reef Monitoring Program’s (TCRMP) permanent monitoring sites to study variation in sponge communities- Black Point (BP), Coculus Rock (CR), and Magens Bay (MB), which are in embayments with heavily developed watersheds. Buck Island (BI) and Savana Island (SI) are located near undeveloped offshore cays. Botany Bay (BB) is a nearshore site in a bay with a low level of watershed development. This dataset represents sponge cover from repeated surveys before and after the 2017 hurricane season. We used three randomly selected transects out of the six permanently established 10-meter TCRMP transects at each site. The same three transects at each site were re-surveyed repeatedly in August 2016 (pre-hurricanes), December 2017 (10 weeks post-hurricanes), March 2018 (24 weeks post-hurricanes), November 2018 (61 weeks post-hurricanes), and July 2019 (93 weeks post-hurricanes). 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/890324
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1807807
    Description: 2024-01-01
    Keywords: sponges ; hurricanes ; coral reef diversity ; storm recovery ; resilience
    Repository Name: Woods Hole Open Access Server
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  • 26
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    Biogeochemistry, metabolomics, and metagenomics of Florida's Coral Reef from sampling conducted over 15 days in June 2019 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-08
    Description: Dataset: Reef biogeochemistry, metabolomics, and metagenomics
    Description: This comparative 'omics dataset was collected over 15 days in June 2019 along Florida's Coral Reef. We assessed 85 reefs for the prevalence of stony coral tissue loss disease (SCTLD), nutrients (total organic carbon (TOC), total organic nitrogen (TON), inorganic nutrients), and abundances of microbial functional groups (Prochlorococcus, Synechococcus, picoeukaryotes, and heterotrophic microbes (unpigmented bacteria and archaea)), from reef depth waters. At 45 of the reefs, high-resolution photomosaics were used to examine the composition of benthic organisms. At 13 geographically dispersed reefs, we collected seawater (1.7 liters in biological triplicates) for both targeted and untargeted metabolomics analyses. Seawater (2 liters in duplicate) was collected at 26 sites, including the 13 examined for metabolomics, for taxonomic (bacteria and archaea 16S ribosomal RNA gene) and functional (shotgun metagenome) microbiome analyses, and chlorophyll. Given the stony coral tissue loss disease outbreak, we also targeted healthy and diseased coral tissue and near-coral seawater for taxonomic microbiome (16S rRNA gene) analysis (11 sites). Significance: Microorganisms and the dissolved metabolites they process are central to the functioning of ocean ecosystems. These 'invisible' ocean components are poorly understood in biodiverse and productive coral reef ecosystems, where they contribute to nutrient cycling and signaling cues between reef organisms. Microbes and dissolved metabolites offer a new means to examine reef features and have applications for conservation, monitoring, and restoration efforts in these changing ecosystems. 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/890979
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736288
    Keywords: coral reefs ; metabolomics ; metagenomics ; microbial ecology
    Repository Name: Woods Hole Open Access Server
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  • 27
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    Hydrography and environmental conditions measured with CTD at nine stations during R/V Endeavor cruise EN616 in July 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
    Keywords: CTD ; beam attenuation ; chlorophyll fluorescence ; dissolved oxygen
    Repository Name: Woods Hole Open Access Server
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  • 28
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    Ambient concentrations of acetate, glycerol, and mannitol measured from samples collected during R/V Endeavor cruise EN616 in the northwest Atlantic in July 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
    Keywords: glycerol ; mannitol ; acetate ; DOC uptake ; Dissolved Organic Carbon
    Repository Name: Woods Hole Open Access Server
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  • 29
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    Moored time-series records for temperature collected from the LB1 Mooring, R/V Savannah (LB-2012-LB1, SAV-12-02) in the South Atlantic Bight (SAB) continental shelf off Long Bay during 2012 (Long Bay Wintertime Bloom project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
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  • 30
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    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 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
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  • 31
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    Benthic invertebrate taxonomy, species and codes - St. John USVI survey 1988-2007 (St. John LTREB project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
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  • 32
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    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 (U.S. GEOTRACES NAT project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
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  • 33
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    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) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
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  • 34
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    Concentrations of dissolved cadmium, nickel, manganese, lanthanum, cerium, praseodymium, and neodymium from the Eastern Tropical North Pacific Ocean on R/V Revelle cruise RR1804-1805 (OMZ Nutrient Cycling project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
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  • 35
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    Benthic invertebrates from Tektite site, USVI: 1988-2007 (St. John LTREB project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
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  • 36
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    Metadata associated with genomic and genetic data collected from organisms obtained on BOWLs landers, R/V Oceanus June 22-27, 2014 (BOWLS project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
    Repository Name: Woods Hole Open Access Server
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  • 37
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    FlowCAM enumeration of phytoplankton classes from samples taken during R/V Endeavor cruise EN616 in July 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
    Keywords: phytoplankton enumeration ; FlowCAM ; phytoplankton biomass ; particle size distribution function
    Repository Name: Woods Hole Open Access Server
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  • 38
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    Solar irradiance in Delaware Estuary from the R/V Hugh R. Sharp HRS111107DK, HRS120809DK, HRS121112DK, HRS1313, HRS1324 in 2011 - 2013 (PAPI: Photochemistry and Photoheterotroph Interactions project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
    Repository Name: Woods Hole Open Access Server
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  • 39
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    Southern Ocean nutrients from CTD bottles from ARSV Laurence M. Gould LMG0104, LMG0106, LMG0203, LMG0205 in the Southern Ocean from 2001-2002 (SOGLOBEC project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
    Repository Name: Woods Hole Open Access Server
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  • 40
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    Composition of marine invertebrate communities across latitude with exposure to predation (Competition and Predation across Latitude) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
    Keywords: marine invertebrate ; predation ; latitude ; Marine invasion ; fish
    Repository Name: Woods Hole Open Access Server
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  • 41
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    Benthic invertebrates from 6 sites pooled, USVI: 1992-2007 (St. John LTREB project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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
    Repository Name: Woods Hole Open Access Server
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  • 42
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    Cruise Event Logs from 15 vessels for 116 U.S. GLOBEC cruises from 1997-2004 in the Northeast Pacific and Gulf of Alaska areas (NEP program) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-09
    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)
    Repository Name: Woods Hole Open Access Server
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  • 43
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    Calcification rates of Acropora pulchra under two pCO2 levels and two temperatures sampled during experiments at Richard B Gump Research Station, Moorea, French Polynesia in July of 2015 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-10
    Description: Dataset: Shaw 2016: Acropora pulchra calcification experiment 1
    Description: This dataset includes calcification rates of the coral Acropora pulchra during an experiment that took place July of 2015 conducted at the Richard B Gump Research Station, Moorea, French Polynesia. Four treatments were used to test calcification rates at approximated ambient and elevated CO2 and temperature levels. 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/684581
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415300, NSF Division of Ocean Sciences (NSF OCE) OCE-1415268
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  • 44
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    Calcification rates of Acropora pulchra in ambient and elevated temperature and pCO2 conditions sampled during experiments at Richard B Gump Research Station, Moorea, French Polynesia from Oct to Nov of 2015 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-10
    Description: Dataset: Shaw 2016: Acropora pulchra calcification experiment 2
    Description: This dataset includes calcification rates of the coral Acropora pulchra during two 21-day experimental treatments from October to November of 2015 conducted at the Richard B Gump Research Station, Moorea, French Polynesia. The first 21-day treatment was conducted using approximated ambient conditions, and the second "high" treatment conditions had elevated temperature and pCO2 levels. 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/684594
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415300, NSF Division of Ocean Sciences (NSF OCE) OCE-1415268
    Repository Name: Woods Hole Open Access Server
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  • 45
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    Carbonate chemistry sampled during Acropora pulchra calcification experiments that took place in Moorea, French Polynesia from Jul to Nov of 2015 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-10
    Description: Dataset: Shaw 2016: carbonate chemistry
    Description: Carbonate chemistry was measured during two experiments that tested calcification rates of Acropora pulchra under approximated ambient and elevated temperature and pCO2 levels. The experiments took place between July and December of 2015 at the Richard B Gump Research Station, Moorea, French Polynesia. 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/684605
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1415300, NSF Division of Ocean Sciences (NSF OCE) OCE-1415268
    Repository Name: Woods Hole Open Access Server
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  • 46
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    Single cell mass spectroscopy data collected to investigate metabolomics affected by cell-cell interactions in 2020 and 2021 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-11
    Description: Dataset: Single cell mass spec Cell-Cell interaction
    Description: Single-cell mass spectrometry (SCMS) was integrated with fluorescence microscopy to investigate metabolomics affected by cell-cell interactions in 2020 and 2021. These data were used to create a table in the publication of the results by Chen 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/890877
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1634630
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  • 47
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    Temperature loggers (HOBO) placed in two locations off the coast of the West coast of Leyte, the Philippines , 2012-2019. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-11
    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
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  • 48
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    Echosounder data from goliath grouper aggregations in Jupiter, FL from August 31 until November 30, 2020. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-27
    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
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  • 49
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    Current Velocity data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 until December 4, 2020. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-27
    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
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  • 50
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    Wave height data from an artificial reef in Jupiter, FL acquired with an ADCP from July 18 August 19, 2020. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-27
    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
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  • 51
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    Optimally Interpolated O2 anomalies based on World Ocean Database 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-27
    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
    Keywords: deoxygenation ; oxygen ; climate change
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  • 52
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    Geochemical measurements of porewater from sediment push core samples in the Gulf of California during R/V Falkor cruise FK190211 in 2019 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    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
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  • 53
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    Physiology color score extracted from pictures taken during a thermal stress experiment using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    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
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  • 54
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    NetCDF model output of 4 circum-Antartic model simulations covering the Antarctic Continental Shelf from ADD TIME (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    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
    Keywords: Antarctica ; circulation model ; ice shelf melt ; dissolved Iron
    Repository Name: Woods Hole Open Access Server
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  • 55
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    Dissolved and total water column 210Po and 210Pb from samples collected on Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) on R/V Roger Revelle from October to November 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    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
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  • 56
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    Geochemical measurements of CTD and Alvin Niskin samples collected in the Gulf of California during R/V Falkor cruise FK190211 in 2019 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    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
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  • 57
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    Physiology color score extracted from pictures taken during a heatwave experiment done September to November 2018 using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-07
    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
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  • 58
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    Dissolved iron speciation results from 2019 Bermuda Atlantic Iron Time-series (BAIT) cruises EN631, AE1909, AE1921, AE1930 in the Western Subtropical North Atlantic Gyre from March to November 2019 (BAIT Project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-03
    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
    Keywords: iron speciation ; iron ; CLE-AdCSV ; organic ligands ; voltammetry ; BATS
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  • 59
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    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 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-13
    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
    Keywords: ichthyoplankton ; Northern California Current ; zooplankton
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  • 60
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    Larval fish identifications and concentration (individuals per 1000m3) estimates for all day samples. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-13
    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
    Keywords: ichthyoplankton ; Northern California Current ; zooplankton
    Repository Name: Woods Hole Open Access Server
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    Radiocarbon dating of archived sediment cores in the Southeast Pacific from 1960 to 2000 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-17
    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
    Keywords: sediment push cores ; radiocarbon dating ; Southeast Pacific
    Repository Name: Woods Hole Open Access Server
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  • 62
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    Upper-pelagic particle numbers from imagery on the R/V Atlantic Explorer in the Sargasso Sea and from SCUBA in the Gulf of Trieste in July 2021 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-03
    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
    Keywords: particle numbers ; shadowgraph imaging ; aquatic gels
    Repository Name: Woods Hole Open Access Server
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  • 63
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    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" (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-03
    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
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    Hydrothermal sediment temperature profiles sampled near Beggiatoa mats using Alivn's heatlow and temperature probes, deployed from R/V Atlantis cruises AT15-40, AT15-56 in the Guaymas Basin from 2008-2009 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-10
    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
    Repository Name: Woods Hole Open Access Server
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  • 65
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    Bottle chemistry data from hydrothermal vents sampled by CTD rosette during R/V Atlantis cruise AT37-12 in April and May 2017 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-21
    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
    Keywords: nitrite ; nitrate ; hydrothermal vents ; Eastern tropical North Pacific
    Repository Name: Woods Hole Open Access Server
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  • 66
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    A spatially and vertically resolved global grid of dissolved barium concentrations in seawater determined using Gaussian Process Regression machine learning (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-22
    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
    Keywords: barium ; barite ; machine learning
    Repository Name: Woods Hole Open Access Server
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  • 67
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    Multiple Opening and Closing Net Environmental Sampling System (MOCNESS) water filtering volumes from 2018 and 2019 taken in the Northern California Current waters. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-16
    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
    Keywords: Plankton imagery ; MOCNESS ; Northern California Current ; fine-scale
    Repository Name: Woods Hole Open Access Server
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    Output model data from paradox of adaptive trait clines with non-clinal patterns in the underlying genes (Model Validation Program project) (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-25
    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
    Keywords: eco-evo simulations ; Estuary ; Local adaptation ; population genomics ; multivariate ordination
    Repository Name: Woods Hole Open Access Server
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  • 69
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    Global reconstructions of particle biovolume, size distribution, and carbon export flux from the seasonal euphotic zone and maximum winter time mixed layer from particle profiles conducted during cruises from 2008 to 2020 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-17
    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
    Keywords: Carbon Export ; Biological pump ; Particulate Matter
    Repository Name: Woods Hole Open Access Server
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  • 70
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    Alkalinity, Salinity, Bivalve Biomass, Streamflow and, Submerged Aquatic Vegetation in Tidal Tributaries of the Chesapeake Bay from 1984 to 2018. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-17
    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
    Keywords: Alkalinity ; estuaries ; Chesapeake Bay
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  • 71
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    Computed (from pH) surface partial pressure and air-water flux of carbon dioxide in the mainstem Chesapeake Bay from 1998 to 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-02-17
    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
    Keywords: carbon dioxide ; estuaries ; Chesapeake Bay
    Repository Name: Woods Hole Open Access Server
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  • 72
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    Juvenile oyster condition index from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    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
    Keywords: Predation risk ; Comparative experimental approach ; phenotype ; nonconsumptive effect
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  • 73
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    Adult oyster survival from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    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
    Keywords: Eastern oyster ; phenotype ; traits ; fitness ; Predation risk ; nonconsumptive effect
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  • 74
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    Juvenile oyster growth from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    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
    Keywords: Growth increment ; Predation risk ; environmental gradients ; nonconsumptive effect
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  • 75
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    Juvenile oyster survival from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    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
    Keywords: Predation risk ; nonconsumptive effect ; vital rate
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  • 76
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    Oyster recruitment from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    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
    Keywords: Predation risk ; larval recruitment ; nonconsumptive effect
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    Adult oyster condition index from risk-addition experiments in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    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
    Keywords: Oyster ; phenotype ; Predation risk ; fitness ; nonconsumptive effect
    Repository Name: Woods Hole Open Access Server
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  • 78
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    Adult oyster growth from risk-addition experiment conducted on oyster reefs in the Guana Tolomato Matanzas National Estuarine Research Reserve from June to November 2012 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-11
    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
    Keywords: growth ; Predation risk ; nonconsumptive effect
    Repository Name: Woods Hole Open Access Server
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  • 79
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    Field experiments to determine the ability of gnathiid isopods to detect and locate Caribbean reef fish hosts using chemosensory cues in John Brewers Bay, St Thomas, US Virgin Island from June to August, 2019 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-25
    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
    Keywords: Gnathiid isopod ; parasite ; chemical cues ; host attraction ; host finding
    Repository Name: Woods Hole Open Access Server
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  • 80
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    Behavioral assays to assess the ability of G. marleyi to detect and preferentially differentiate between Caribbean reef fish hosts in John Brewers Bay, St Thomas, US Virgin Islands (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-25
    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
    Keywords: Gnathiid isopod ; parasite ; chemical cues ; host attraction ; host finding
    Repository Name: Woods Hole Open Access Server
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  • 81
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    Prochlorococcus cell concentrations during the BiG-RAPA expedition (Cruise MV1015) in the Peru Current and Eastern South Pacific Subtropical Gyre between November and December of 2010 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-30
    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
    Keywords: Prochlorococcus ; BiG-RAPA ; flow cytometry ; cell abundance ; Quantitative PCR
    Repository Name: Woods Hole Open Access Server
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  • 82
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    Environmental data, nutrients, and leucine and thymidine bacterial production from samples collected by CTD during cruises in the San Pedro Channel on R/V Yellowfin from 2005 to 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-30
    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
    Repository Name: Woods Hole Open Access Server
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  • 83
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    A characterization of microbes at the San Pedro Ocean Time-series (SPOT) from 2005 to 2018, using SSU rRNA gene sequencing from two size fractions, with a universal primer set that amplifies from prokaryotes and eukaryotes (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-30
    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
    Repository Name: Woods Hole Open Access Server
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  • 84
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    Coral physiology parameters acquired during a heatwave experiment done September to November 2018 using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-31
    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
    Repository Name: Woods Hole Open Access Server
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  • 85
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    Photosynthetic irradiance capacity of coral fragments measured during a heatwave experiment done September to November 2018 using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-31
    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
    Repository Name: Woods Hole Open Access Server
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  • 86
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    Experiment Tank Conditions during a thermal stress experiment using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-31
    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
    Repository Name: Woods Hole Open Access Server
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  • 87
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    Temperature data measured during a heatwave experiment done September to November 2018 using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-31
    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
    Repository Name: Woods Hole Open Access Server
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  • 88
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    Coral growth rate measured during a heatwave experiment done September to November 2018 using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-31
    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
    Repository Name: Woods Hole Open Access Server
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  • 89
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    Carbonate Chemistry Parameters from a heatwave experiment done September to November 2018 using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-31
    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
    Repository Name: Woods Hole Open Access Server
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  • 90
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    Experiment Tank Conditions from a heatwave experiment done September to November 2018 using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-31
    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
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  • 91
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    Dissolved and total water column 210Po and 210Pb from samples collected on Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) on R/V Roger Revelle from September to October 2018 (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-31
    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
    Keywords: radionuclides ; polonium-210 ; lead-210 ; POC export ; scavenging
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  • 92
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    Metabolomic data collected during a thermal stress experiment using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-31
    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
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  • 93
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    Coral survivorship tracked during a heatwave experiment done September to November 2018 using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-31
    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
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  • 94
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    Untargeted metabolomic data collected during a thermal stress experiment using reef building corals collected in Kāne'ohe Bay, O'ahu, Hawai'i. (2023)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 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
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 95
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    Master stability functions for metacommunities with two types of habitats (2022)
    American Physical Society (APS)
    In:  EPIC3Physical Review E, American Physical Society (APS), 105(4), pp. 044310-044310, ISSN: 2470-0045
    Details
    Publication Date: 2023-12-05
    Description: Current questions in ecology revolve around instabilities in the dynamics on spatial networks and particularly the effect of node heterogeneity. We extend the master stability function formalism to inhomogeneous biregular networks having two types of spatial nodes. Notably, this class of systems also allows the investigation of certain types of dynamics on higher-order networks. Combined with the generalized modeling approach to study the linear stability of steady states, this is a powerful tool to numerically asses the stability of large ensembles of systems. We analyze the stability of ecological metacommunities with two distinct types of habitats analytically and numerically in order to identify several sets of conditions under which the dynamics can become stabilized by dispersal. Our analytical approach allows general insights into stabilizing and destabilizing effects in metapopulations. Specifically, we identify self-regulation and negative feedback loops between source and sink populations as stabilizing mechanisms and we show that maladaptive dispersal may be stable under certain conditions.
    Repository Name: EPIC Alfred Wegener Institut
    Type: Article , isiRev
    Format: application/pdf
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  • 96
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    Temperature loggers (HOBO) placed in two locations off the coast of the West coast of Leyte, the Philippines , 2012-2019. (2022)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-03-07
    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
    Repository Name: Woods Hole Open Access Server
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  • 97
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    The implications of intraspecific trait variation from fish sampled in Rhode Island salt ponds from June to October 2018 (2022)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2023-01-09
    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
    Keywords: Funcational traits ; Multitrophic communities ; Coastal habitats ; Fish ecology
    Repository Name: Woods Hole Open Access Server
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  • 98
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    Porosity and density of sediments collected Fall 2019 in the Santa Barbara Basin using ROV Jason during R/V Atlantis cruise AT42-19 (2022)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 2022-12-31
    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
    Keywords: Santa Barbara Basin ; Sediments ; Density ; Porosity
    Repository Name: Woods Hole Open Access Server
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  • 99
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    Fecundity assessment of Acropora cervicornis colonies from spawning observations and gamete bundle analysis in August 2020 at Mote Marine Laboratory (2022)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 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
    Keywords: Coral ; Fecundity ; Spawning ; Gamete bundle
    Repository Name: Woods Hole Open Access Server
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  • 100
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    Porewater geochemistry of sediments collected Fall 2019 in the Santa Barbara Basin using ROV Jason during R/V Atlantis cruise AT42-19 (2022)
    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Details
    Publication Date: 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
    Keywords: Santa Barbara Basin ; Sediments ; Porewater ; Geochemistry
    Repository Name: Woods Hole Open Access Server
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