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  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (1,780)
  • Oxford University Press
  • Periodicals Archive Online (PAO)
  • Wiley-Blackwell
  • 2020-2023  (1,821)
Collection
Years
Year
  • 1
    Publication Date: 2022-03-07
    Description: The Pollino range is a region of slow deformation where earthquakes generally nucleate on low-angle normal faults. Recent studies have mapped fault structures and identified fluid related dynamics responsible for historical and recent seismicity in the area. Here, we apply the coda-normalization method at multiple frequencies and scales to image the 3-D P-wave attenuation (QP) properties of its slowly deforming fault network. The wide-scale average attenuation properties of the Pollino range are typical for a stable continental block, with a dependence of QP on frequency of Q−1 P = (0.0011   0.0008) f (0.36 0.32). Using only waveforms comprised in the area of seismic swarms, the dependence of attenuation on frequency increases [Q−1 P = (0.0373   0.0011) f (−0.59 0.01)], as expected when targeting seismically active faults. A shallow very-low-attenuation anomaly (max depth of 4–5 km) caps the seismicity recorded within the western cluster 1 of the Pollino seismic sequence (2012, maximum magnitude Mw = 5.1). High-attenuation volumes below this anomaly are likely related to fluid storage and comprise the western and northern portions of cluster 1 and the Mercure basin. These anomalies are constrained to the NW by a sharp low-attenuation interface, corresponding to the transition towards the eastern unit of the Apennine Platform under the Lauria mountains. The low-seismicity volume between cluster 1 and cluster 2 (maximum magnitude Mw = 4.3, east of the primary) shows diffuse low-to-average attenuation features. There is no clear indication of fluid-filled pathways between the two clusters resolvable at our resolution. In this volume, the attenuation values are anyway lower than in recognized low-attenuation blocks, like the Lauria Mountain and Pollino Range. As the volume develops in a region marked at surface by small-scale cross-faulting, it suggests no actual barrier between clusters, more likely a system of small locked fault patches that can break in the future. Our model loses resolution at depth, but it can still resolve a 5-to-15-km-deep high-attenuation anomaly that underlies the Castrovillari basin. This anomaly is an ideal deep source for the SE-to-NW migration of historical seismicity. Our novel deep structural maps support the hypothesis that the Pollino sequence has been caused by a mechanism of deep and lateral fluid-induced migration.
    Description: Natural Environment Research Council (NERC) Centre for Doctoral Training (CDT) in Oil and Gas. University of Aberdeen.
    Description: Published
    Description: 536–547
    Description: 4T. Sismicità dell'Italia
    Description: JCR Journal
    Keywords: body waves ; seismic attenuation ; seismic tomography ; 04.06. Seismology
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 2
    Publication Date: 2022-05-25
    Description: Dataset: GP15 TDS and OCS Leg 1
    Description: This dataset includes total dissolved sulfide (TDS) and carbonyl sulfide (OCS) data from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) conducted on R/V Roger Revelle from September 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/873908
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737342
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
    Publication Date: 2022-05-25
    Description: Dataset: GP15 TDS and OCS Leg 2
    Description: This dataset includes total dissolved sulfide (TDS) and carbonyl sulfide (OCS) data from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) conducted on R/V Roger Revelle from October to November 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873927
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737342
    Repository Name: Woods Hole Open Access Server
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  • 4
    Publication Date: 2022-05-25
    Description: Dataset: GP15 pAVS and pCRS Leg 1
    Description: This dataset includes water column particulate Acid-Volatile Sulfide (pAVS) and Chromium Reducible Sulfide (pCRS) data from a McLane pump from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814) conducted on R/V Roger Revelle from September 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/873765
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737342
    Repository Name: Woods Hole Open Access Server
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  • 5
    Publication Date: 2022-05-25
    Description: Dataset: GP15 pAVS and pCRS Leg 2
    Description: This dataset includes water column particulate Acid-Volatile Sulfide (pAVS) and Chromium Reducible Sulfide (pCRS) data from a McLane pump from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1815) conducted on R/V Roger Revelle from October to November 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873792
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737342
    Repository Name: Woods Hole Open Access Server
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  • 6
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-07
    Description: Dataset: Seagrass surveys of blade height
    Description: These data are from seagrass surveys of blade height around artificial reefs in shallow (less than 4 meters) coastal waters in The Bight of Old Robinson, off of Abaco Island, The Bahamas from May to December 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/873092
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1948622
    Keywords: seagrass ; artificial reefs ; blade height
    Repository Name: Woods Hole Open Access Server
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  • 7
    Publication Date: 2022-11-09
    Description: Dataset: Luminoxyscape environmental
    Description: In this dataset, we analyzed daytime casts (09:00-16:00) of both discrete bottle data and continuous CTD casts from CalCOFI stations restricted to an area from La Jolla, California to Point Conception and 215 km maximum offshore. This dataset has combined bottle and CTD casts to represent the date range 1984-2019. We used the oxygen and irradiance measurements to determine the visual luminoxyscape for each of the larval species. This range was bounded by the oxygen (partial pressure) where the pO2 would permit 50% minimum retinal function (V50; 13, 7.2, 10.2, and 6.8 kPa for larvae of 'Doryteuthis opalescens', 'Octopus bimaculatus', 'Metacarcinus gracilis', and 'Pleuroncodes planipes', respectively), and where there is sufficient irradiance for a visual response (0.0311 µmol photons m-2 s-1) for each species. Additionally, oxygen limits for metabolism were used to determine the depth of occurrence of the Pcrit (the oxygen below which the animal cannot maintain a constant metabolic rate). The depths of occurrence for metabolic limits were determined for larvae of 'D. opalescens' and 'O. bimaculatus'. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/860397
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829623
    Description: 2022-12-31
    Keywords: Vision ; Marine invertebrate ; Larvae ; Crustacean ; Cephalopod
    Repository Name: Woods Hole Open Access Server
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  • 8
    Publication Date: 2022-11-09
    Description: Dataset: Luminoxyscape maximum depth
    Description: In this dataset, the maximum depths of the visual luminoxyscape for four species of marine invertebrate larvae were recorded. Data in this study are from CalCOFI stations restricted to an area from La Jolla, California to Point Conception and 215 kilometers maximum offshore (Station 60). We analyzed daytime casts (09:00-16:00) of both discrete bottle data and continuous CTD casts to represent the date range of 1984-2019 and used the oxygen and irradiance measurements to determine the visual luminoxyscape for each of the larval species. This range was bounded by the oxygen (partial pressure) where the pO2 would permit 50% minimum retinal function (V50; 13, 7.2, 10.2, and 6.8 kPa for larvae of 'Doryteuthis opalescens', 'Octopus bimaculatus', 'Metacarcinus gracilis', and 'Pleuroncodes planipes', respectively), and where there is sufficient irradiance for a visual response (0.0311 µmol photons m-2 s-1) for each species. Additionally, oxygen limits for metabolism were used to determine the depth of occurrence of the Pcrit (the oxygen below which the animal cannot maintain a constant metabolic rate). The depths of occurrence for metabolic limits were determined for larvae of 'D. opalescens' and 'O. bimaculatus'. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/859867
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829623
    Keywords: Vision ; Marine invertebrate ; Larvae ; Crustacean ; Cephalopod
    Repository Name: Woods Hole Open Access Server
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  • 9
    Publication Date: 2022-10-21
    Description: Dataset: GA02 Leg 3 - Dissolved 143Nd/144Nd
    Description: This dataset includes depth profiles of seawater dissolved 143Nd/144Nd from samples collected on RRS James Cook cruise JC-57 in the southwest Atlantic, Punta Arenas (Chile) to Las Palmas (Spain) in March 2011. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/672203
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1260514
    Description: 2022-10-20
    Repository Name: Woods Hole Open Access Server
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  • 10
    Publication Date: 2022-10-28
    Description: Relative relocation methods are commonly used to precisely relocate earthquake clusters consisting of similar waveforms. Repeating waveforms are often recorded at volcanoes, where, however, the crust structure is expected to contain strong heterogeneities and therefore the 1D velocity model assumption that is made in most location strategies is not likely to describe reality. A peculiar cluster of repeating low-frequency seismic events was recorded on the south flank of Katla volcano (Iceland) from 2011. As the hypocentres are located at the rim of the glacier, the seismicity may be due to volcanic or glacial processes. Information on the size and shape of the cluster may help constraining the source process. The extreme similarity of waveforms points to a very small spatial distribution of hypocentres. In order to extract meaningful information about size and shape of the cluster, we minimize uncertainty by optimizing the cross-correlation measurements and relative-relocation process. With a synthetic test we determine the best parameters for differential-time measurements and estimate their uncertainties, specifically for each waveform. We design a relocation strategy to work without a predefined velocity model, by formulating and inverting the problem to seek changes in both location and slowness, thus accounting for azimuth, take-off angles and velocity deviations from a 1D model. We solve the inversion explicitly in order to propagate data errors through the calculation. With this approach we are able to resolve a source volume few tens of meters wide on horizontal directions and around 100 meters in depth. There is no suggestion that the hypocentres lie on a single fault plane and the depth distribution indicates that their source is unlikely to be related to glacial processes as the ice thickness is not expected to exceed few tens of meters in the source area.
    Description: Published
    Description: 1244–1257
    Description: 5T. Sismologia, geofisica e geologia per l'ingegneria sismica
    Description: JCR Journal
    Keywords: Physics - Geophysics; Physics - Geophysics
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 11
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-01
    Description: Dataset: Acer Fecundity Colony Size and Morphometrics
    Description: Fecundity was assessed for Acropora cervicornis corals with known disease susceptibility. This dataset presents morphometric assessments and information on colony sizes of 10 replicate adult colonies from 12 genets held in Mote Marine Lab’s spawning nurseries. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/843028
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1452538
    Description: 2022-12-01
    Keywords: Coral ; Fecundity ; Morphometrics ; Colony size
    Repository Name: Woods Hole Open Access Server
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  • 12
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-01
    Description: Dataset: Kelp responses to temperature
    Description: Giant kelp (Macrocystis pyrifera) is a globally distributed foundation species with seasonal fluctuations in abundance in response to local nutrient levels, storm intensity, and ocean temperatures. In this study, we examined individual and population level responses of early life history stages (zoospore settlement, survival, and gametogenesis) to increased temperatures to determine the capacity for temperature-tolerant individuals to allow adaptation in a changing climate. We collected fertile M. pyrifera sporophyll blades from three sites along the California coast (Los Angeles, Santa Barbara, Monterey Bay) and induced zoospore release in the lab. Spores settled on microscope slides at three treatment temperatures (16º, 20º, 22º C), matured for 21 days, and were imaged weekly to determine settlement, survival, and maturation success. On average, individuals from all sites showed lower rates of settlement and maturation in response to increasing temperature. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/878555
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1559105
    Keywords: macroalgae ; foundation species ; genetic variation ; global warming
    Repository Name: Woods Hole Open Access Server
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  • 13
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-02
    Description: Dataset: Bottle Data for EN665 Gulf of Maine
    Description: This dataset is the bottle data for Cruise EN665 on the R/V Endeavor in the Gulf of Maine, conducted April 7-12, 2021. Included are the CTD rosette data along with nutrient and carbonate chemistry analyses (DIC, TA, and d13C-DIC). Data were collected and analyzed by PI Subhas. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/884424
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1923998
    Keywords: ocean acidification ; alkalinity cycling
    Repository Name: Woods Hole Open Access Server
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  • 14
    Publication Date: 2022-12-02
    Description: Dataset: Oyster shell strengthening in response to blue crab predator cues
    Description: These data include measurements of juvenile oyster shell strength from predator cue bioassay experiments conducted at Dauphin Island Sea Lab, Dauphin Island, AL between June and August of 2020. Study description: Homarine and trigonelline are two blue crab urine metabolites that cause mud crabs to seek refuge, but it is unknown whether these molecules influence other species. In the current study, homarine, trigonelline, and blue crab urine of animals fed conspecific and heterospecific diets were tested on juvenile oysters to ascertain if the same molecules known to alter mud crab behavior also affect oyster morphology. Juvenile oysters were exposed to chemicals for roughly 6 weeks and their shell strength (N) was measured and standardized to the size of the animals (mm) as a proxy for understanding this defense. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883945
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1948423, NSF Division of Ocean Sciences (NSF OCE) OCE-1948441
    Repository Name: Woods Hole Open Access Server
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  • 15
    Publication Date: 2022-12-02
    Description: Dataset: Dose response evaluation of oyster shell strengthening in response to homarine and trigonelline
    Description: These data include measurements of juvenile oyster shell strength from a dose response experiment conducted at Dauphin Island Sea Lab, Dauphin Island, AL in June - August of 2021. Study description: Homarine and trigonelline are two blue crab urine metabolites that cause juvenile oysters to strengthen their shells are a defensive response. We evaluated the dose dependency of this response with a dose-response experiment where homarine and trigonelline concentrations (of each individual chemical and a combination of the two) spanned 5 log half-steps. Juvenile oysters were exposed to chemicals for 8 weeks and their shell strength (N) was measured and standardized to the size of the animals (mm) as a proxy for understanding this defense. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883999
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1948423, NSF Division of Ocean Sciences (NSF OCE) OCE-1948441
    Description: 2024-06-28
    Keywords: chemical ecology ; oyster reef ; predator-prey interactions
    Repository Name: Woods Hole Open Access Server
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  • 16
    Publication Date: 2022-12-02
    Description: Dataset: Dose response evaluation of oyster shell strengthening to varying blue crab urine concentrations
    Description: These data include measurements of juvenile oyster shell strength from a dose response experiment of varying blue crab urine concentrations conducted at Dauphin Island Sea Lab, Dauphin Island, AL in August - Oct 2022. Study description: Metabolites from blue crab urine are known to cause shell strengthening in juvenile oysters as a defensive response. Previous studies have identified several bioactive molecules in urine that induce this response in oysters, but others have yet to be identified. In the current study, an array of concentrations of blue crab urine was used to treat oyster juveniles in order to assess the dose-dependency of this response. Oysters were exposed to urine treatments for 8 weeks and their shell strength (N) was measured and standardized to the size of the animals (mm) as a proxy for understanding this defense. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/884015
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1948423, NSF Division of Ocean Sciences (NSF OCE) OCE-1948441
    Description: 2024-06-28
    Keywords: oyster reef ; chemical ecology ; predator-prey interactions
    Repository Name: Woods Hole Open Access Server
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  • 17
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-03
    Description: Dataset: Juvenile Urchin Data
    Description: This dataset describes phenotypic plasticity in sand dollars in response to predators at the Friday Harbor Laboratories, WA, USA and in sea urchins from Southern Maine, USA from 2018 to 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/877780
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1850837
    Keywords: echinoderm ; phenotypic plasticity ; predator ; larvae ; juvenile
    Repository Name: Woods Hole Open Access Server
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  • 18
    Publication Date: 2022-11-13
    Description: Dataset: Gene expression of Eurytemora affinis (saline and freshwater)
    Description: To explore mechanisms of freshwater adaptation and distinguish between adaptive (evolutionary) and acclimatory (plastic) responses to salinity change, we examined genome‐wide patterns of gene expression between ancestral saline and derived freshwater populations of the Eurytemora affinis species complex, reared under two different common‐garden conditions (0 vs. 15 PSU). These data include the RNA-seq Illumina short paired end reads (101 base pairs) of 10 freshwater and 12 saline copepods Eurytemora affinis samples. The freshwater copepod samples were collected in Lake Michigan (Racine Harbor), while the saline copepods were collected in Baie de L'Isle Verte, St. Lawrence marsh, Quebec, Canada. These data have important implications for our understanding of the evolutionary and physiological mechanisms of range expansions by some of the most widespread invaders in aquatic habitats. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883426
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1658517
    Keywords: gene expression ; Invasive species ; osmoregulation ; evolutionary adaptation ; acclimation
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  • 19
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-14
    Description: Dataset: Microsensor Profiling O2
    Description: These data were collected as part of a sediment incubation experiment, to investigate potential interactions between estuarine cable bacteria and their associated microbial community. Sediments were collected from the main channel of Chesapeake Bay at a mesohaline station that experiences seasonal oxygen depletion. The upper 10 centimeters (cm) of sediment was homogenized under anaerobic conditions, packed into polycarbonate core liners, and incubated in a dark climate-controlled room in aerated aquaria with artificial seawater (S=15.5; T=16 degrees Celsius). In a sub-set of core tubes, a 0.2 micron polycarbonate filter was held embedded at 0.5 cm depth, to block the downward growth of cable bacteria while allowing for porewater diffusion. The sediments (with and without embedded filters) were destructively sampled on 6 dates over 46 days, at which time nucleic acids, samples for microscopy, and samples for porewater geochemistry were collected. Microsensor profiling (oxygen (O2), pH, hydrogen sulfide (H2S)) was conducted alongside the destructive sampling. Associated nucleic acid data are available through NCBI Sequence Read Archive, under Bioproject PRJNA833464. Sediment porewaters were handled anaerobically, and were extracted by centrifugation followed by filtration (0.2 micron in-line filters). Geochemical data include porewater anions (sulfate and chloride) measured by ion chromatography, and ammonium and ferrous iron concentrations measured by standard colorimetric methods. Microscopy data include both counts of cable bacteria measured with FISH oligoprobe DSB706, and total single cell bacteria. The dataset was generated by Pinky Liau under the supervision of Dr. Sairah Malkin, Horn Point Laboratory, U. Maryland Center for Environmental Sciences. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883412
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756877, NSF Division of Ocean Sciences (NSF OCE) OCE-1756851
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  • 20
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-14
    Description: Dataset: Microsensor Profiling pH
    Description: These data were collected as part of a sediment incubation experiment, to investigate potential interactions between estuarine cable bacteria and their associated microbial community. Sediments were collected from the main channel of Chesapeake Bay at a mesohaline station that experiences seasonal oxygen depletion. The upper 10 centimeters (cm) of sediment was homogenized under anaerobic conditions, packed into polycarbonate core liners, and incubated in a dark climate-controlled room in aerated aquaria with artificial seawater (S=15.5; T=16 degrees Celsius). In a sub-set of core tubes, a 0.2 micron polycarbonate filter was held embedded at 0.5 cm depth, to block the downward growth of cable bacteria while allowing for porewater diffusion. The sediments (with and without embedded filters) were destructively sampled on 6 dates over 46 days, at which time nucleic acids, samples for microscopy, and samples for porewater geochemistry were collected. Microsensor profiling (oxygen (O2), pH, hydrogen sulfide (H2S)) was conducted alongside the destructive sampling. Associated nucleic acid data are available through NCBI Sequence Read Archive, under Bioproject PRJNA833464. Sediment porewaters were handled anaerobically, and were extracted by centrifugation followed by filtration (0.2 micron in-line filters). Geochemical data include porewater anions (sulfate and chloride) measured by ion chromatography, and ammonium and ferrous iron concentrations measured by standard colorimetric methods. Microscopy data include both counts of cable bacteria measured with FISH oligoprobe DSB706, and total single cell bacteria. The dataset was generated by Pinky Liau under the supervision of Dr. Sairah Malkin, Horn Point Laboratory, U. Maryland Center for Environmental Sciences. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883488
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756877, NSF Division of Ocean Sciences (NSF OCE) OCE-1756851
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  • 21
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-14
    Description: Dataset: Microsensor Profiling H2S
    Description: These data were collected as part of a sediment incubation experiment, to investigate potential interactions between estuarine cable bacteria and their associated microbial community. Sediments were collected from the main channel of Chesapeake Bay at a mesohaline station that experiences seasonal oxygen depletion. The upper 10 centimeters (cm) of sediment was homogenized under anaerobic conditions, packed into polycarbonate core liners, and incubated in a dark climate-controlled room in aerated aquaria with artificial seawater (S=15.5; T=16 degrees Celsius). In a sub-set of core tubes, a 0.2 micron polycarbonate filter was held embedded at 0.5 cm depth, to block the downward growth of cable bacteria while allowing for porewater diffusion. The sediments (with and without embedded filters) were destructively sampled on 6 dates over 46 days, at which time nucleic acids, samples for microscopy, and samples for porewater geochemistry were collected. Microsensor profiling (oxygen (O2), pH, hydrogen sulfide (H2S)) was conducted alongside the destructive sampling. Associated nucleic acid data are available through NCBI Sequence Read Archive, under Bioproject PRJNA833464. Sediment porewaters were handled anaerobically, and were extracted by centrifugation followed by filtration (0.2 micron in-line filters). Geochemical data include porewater anions (sulfate and chloride) measured by ion chromatography, and ammonium and ferrous iron concentrations measured by standard colorimetric methods. Microscopy data include both counts of cable bacteria measured with FISH oligoprobe DSB706, and total single cell bacteria. The dataset was generated by Pinky Liau under the supervision of Dr. Sairah Malkin, Horn Point Laboratory, U. Maryland Center for Environmental Sciences. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883506
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756877, NSF Division of Ocean Sciences (NSF OCE) OCE-1756851
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  • 22
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-14
    Description: Dataset: Pooled sequencing data from field-collected Eurytemora affinis
    Description: This dataset consists of pooled whole-genome sequencing data (Pool-seq) of Eurytemora affinis complex copepods collected from nine locations across North America. Each sample consists of 100 pooled individuals with an approximate 1:1 sex ratio, sequenced using the Nextera DNA library preparation kit and Illumina HiSeq platform. Population sampling targeted nine wild populations of the E. affinis complex from two genetically distinct lineages (the Gulf and Atlantic clades) including both native saline and invaded freshwater locations. The data were generated to investigate evolutionary genomic factors underlying successful invasion of freshwater habitats and were collected by Drs. Martin Bontrager, David B. Stern, and Carol E. Lee of the University of Wisconsin-Madison. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883227
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1658517
    Keywords: genomics ; salinity adaptation ; Marine invasion ; selection
    Repository Name: Woods Hole Open Access Server
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-14
    Description: Dataset: Geochemistry and Microscopy from Incubation Experiments
    Description: These data were collected as part of a sediment incubation experiment, to investigate potential interactions between estuarine cable bacteria and their associated microbial community. Sediments were collected from the main channel of Chesapeake Bay at a mesohaline station that experiences seasonal oxygen depletion. The upper 10 centimeters (cm) of sediment was homogenized under anaerobic conditions, packed into polycarbonate core liners, and incubated in a dark climate-controlled room in aerated aquaria with artificial seawater (S=15.5; T=16 degrees Celsius). In a sub-set of core tubes, a 0.2 micron polycarbonate filter was held embedded at 0.5 cm depth, to block the downward growth of cable bacteria while allowing for porewater diffusion. The sediments (with and without embedded filters) were destructively sampled on 6 dates over 46 days, at which time nucleic acids, samples for microscopy, and samples for porewater geochemistry were collected. Microsensor profiling (oxygen (O2), pH, hydrogen sulfide (H2S)) was conducted alongside the destructive sampling. Associated nucleic acid data are available through NCBI Sequence Read Archive, under Bioproject PRJNA833464. Sediment porewaters were handled anaerobically, and were extracted by centrifugation followed by filtration (0.2 micron in-line filters). Geochemical data include porewater anions (sulfate and chloride) measured by ion chromatography, and ammonium and ferrous iron concentrations measured by standard colorimetric methods. Microscopy data include both counts of cable bacteria measured with FISH oligoprobe DSB706, and total single cell bacteria. The dataset was generated by Pinky Liau under the supervision of Dr. Sairah Malkin, Horn Point Laboratory, U. Maryland Center for Environmental Sciences. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883171
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756877, NSF Division of Ocean Sciences (NSF OCE) OCE-1756851
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    Publication Date: 2022-11-10
    Description: Dataset: Exudate Uptake Incubations - Macronutrient Data
    Description: Incubation experiments were conducted in St. John, US Virgin Islands to investigate the composition of exudates released from different species of benthic organisms, and the response of reef seawater microbial communities to mixed exudates released from different species and to specific metabolites. Exudates were collected from the stony coral Porites astreoides, and the octocoral Gorgonia ventalina after an 8 hour incubation. Reef seawater microbial communities were incubated separately in the presence of exudates from P. astreoides and G. ventalina for 48 hours and samples were collected to monitor changes in macronutrient concentrations. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/865193
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736288
    Keywords: coral reef ; Dissolved Organic Macronutrients ; Dissolved Inorganic Macronutrients ; Organic Carbon ; nitrogen ; biogeochemistry
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    Publication Date: 2022-11-10
    Description: Dataset: Exudate Uptake Incubations - Microbial Abundances (Flow Cytometry)
    Description: Incubation experiments were conducted in St. John, US Virgin Islands to investigate the composition of exudates released from different species of benthic organisms, and the response of reef seawater microbial communities to mixed exudates released from different species and to specific metabolites. Exudates were collected from the stony coral Porites astreoides, and the octocoral Gorgonia ventalina after an 8 hour incubation. Reef seawater microbial communities were incubated separately in the presence of exudates from P. astreoides and G. ventalina for 48 hours and samples were collected to monitor changes in microbial abundance via flow cytometry and microbial community composition via 16S rRNA gene sequencing. Complementary Targeted and Untargeted metabolomic data from these incubation experiments is available on the MetaboLights database under accession number MTBLS2855. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/865739
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736288
    Keywords: coral reef ; Planktonic Microorganisms ; Prochlorococcus ; Synechococcus ; Cell Counts ; flow cytometry ; Microbial Communities ; 16S rRNA gene sequencing
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    Publication Date: 2022-11-10
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Sassenhagen, I., Erdner, D., Lougheed, B., Richlen, M., & SjÖqvist, C. Estimating genotypic richness and proportion of identical multi-locus genotypes in aquatic microalgal populations. Journal of Plankton Research, 44(4), (2022): 559-572, https://doi.org/10.1093/plankt/fbac034.
    Description: The majority of microalgal species reproduce asexually, yet population genetic studies rarely find identical multi-locus genotypes (MLG) in microalgal blooms. Instead, population genetic studies identify large genotypic diversity in most microalgal species. This paradox of frequent asexual reproduction but low number of identical genotypes hampers interpretations of microalgal genotypic diversity. We present a computer model for estimating, for the first time, the number of distinct MLGs by simulating microalgal population composition after defined exponential growth periods. The simulations highlighted the effects of initial genotypic diversity, sample size and intraspecific differences in growth rates on the probability of isolating identical genotypes. We estimated the genotypic richness for five natural microalgal species with available high-resolution population genetic data and monitoring-based growth rates, indicating 500 000 to 2 000 000 distinct genotypes for species with few observed clonal replicates (〈5%). Furthermore, our simulations indicated high variability in genotypic richness over time and among microalgal species. Genotypic richness was also strongly impacted by intraspecific variability in growth rates. The probability of finding identical MLGs and sampling a representative fraction of genotypes decreased noticeably with smaller sample sizes, challenging the detection of differences in genotypic diversity with typical isolate numbers in the field.
    Description: This work was supported by the Olle Engkvist foundation [200-0564 to I.S.]; the Swedish Research Council (Vetenskapsrådet) [2018-04992 to B.C.L.]; the Academy of Finland [321609 to C.S.]; the National Science Foundation [NSF OCE-1841811 to D.L.E. and M.L.R.]; and the National Institute of Environmental Health [NIEHS P01ES028949 to M.L.R.].
    Repository Name: Woods Hole Open Access Server
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    Publication Date: 2022-11-10
    Description: Dataset: Metabolite Uptake Incubations - Microbial Abundances (Flow Cytometry)
    Description: Pre-filtered reef seawater microbial communities collected from Lameshur Bay, U.S. Virgin Islands were incubated separately in the presence of the individual metabolites riboflavin, pantothenic acid, and caffeine for 24 hours and samples were collected to monitor changes in microbial community composition using 16S rRNA gene sequencing and microbial abundances using flow cytometry. Targeted metabolomic data from these incubations is available on the MetaboLights database under accession number MTBLS3286. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/865159
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736288
    Keywords: coral reef ; Planktonic Microorganisms ; Prochlorococcus ; Synechococcus ; Cell Counts ; flow cytometry ; Microbial Communities ; 16S rRNA gene sequencing
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-15
    Description: Dataset: Heron Reef Carbonate Chemistry
    Description: Seawater samples and environmental measurements were collected across the Heron Island coral reef during three reef-scale surveys in the morning and evening in October of 2015. Seawater samples were analyzed for dissolved inorganic carbon chemistry parameters. The study was designed to characterize the natural spatio-temporal variability of carbonate chemistry and environmental parameters across the entire coral reef system. The spatial surveys were complemented with autonomous sensors making high frequency measurements at three locations. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/839261
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1255042
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-15
    Description: Dataset: ISPP14C Synthesis
    Description: In situ primary productivity based on 14C assimilation and nutrients from samples collected by many research projects and on numerous cruises globally, 1985-2008. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/814803
    Description: National Aeronautics & Space Administration (NASA) NNX14AM15G, Office of Naval Research (ONR) N00014-86-K-0204, NSF Division of Ocean Sciences (NSF OCE) OCE-9312355, NSF Division of Ocean Sciences (NSF OCE) OCE-9311255, NSF Division of Ocean Sciences (NSF OCE) OCE-9311244, NSF Division of Ocean Sciences (NSF OCE) OCE-9311312, Office of Naval Research (ONR) N00014-81-C-0062, NSF Division of Ocean Sciences (NSF OCE) OCE-8817515, NSF Division of Ocean Sciences (NSF OCE) OCE-8121011, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-9530611, NSF Division of Ocean Sciences (NSF OCE) OCE-8120773, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-9531990, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-9531981, Office of Naval Research (ONR) N00014-89-J-1150, Office of Naval Research (ONR) NO0014-87-K-0160, Office of Naval Research (ONR) NO0014-89-J-1160, Office of Naval Research (ONR) NO0014-94-L-0394, National Aeronautics & Space Administration (NASA) NNX14AQ47A
    Keywords: Productivity ; Ocean ; Dataset ; JGOFS ; Atlantic
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-23
    Description: Dataset: Compilation of MULVFS size-fractionated POC, PIC, and bSi data
    Description: This dataset reports 74 profiles of 〈53um and 〉53um concentrations of particulate organic carbon (POC), particulate inorganic carbon (PIC), and biogenic silica (bSi) collected and analyzed by James K.B. Bishop from 17 cruises using ship-powered (Multiple Unit) Large Volume In-situ Filtration (LVFS, later MULVFS) between 1973 and 2005. The dataset was compiled by Phoebe Lam. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/884057
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-23
    Description: Dataset: Seagrass Braun–Blanquet Surveys
    Description: These data represent seagrass community composition surveys conducted from May to December 2021 around artificial reefs in shallow (less than 4 meters) coastal waters in The Bight of Old Robinson, off of Abaco Island, The Bahamas. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873083
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1948622
    Keywords: seagrass ; community composition ; survey
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-23
    Description: Dataset: Oyster genetic identity and parasite community structure
    Description: Intraspecific variation in host susceptibility to individual parasite species is common, yet how these effects scale to mediate the structure of diverse parasite communities in nature is not as well understood. To address this knowledge gap, we tested how host genetic identity affects parasite communities on restored reefs seeded with juvenile oysters from different sources – a regional commercial hatchery or one of two wild progenitor lines. We assessed the prevalence and intensity of three micro- and two macro-parasite species for four years following restoration. Despite the spatial proximity of restored reefs, oyster source identity strongly predicted parasite community prevalence across all years, with sources varying in their relative susceptibility to different parasites. Oyster seed source also predicted reef-level parasite intensities across space and through time. Our results highlight that host intraspecific variation can shape parasite community structure in natural systems, and reinforce the importance of considering source identity and diversity in restoration design. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883570
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320, U.S. Fish & Wildlife Service Wildlife and Sport Fish Restoration Program (USFWS WSFR) WSFR F20AF00145
    Keywords: Crassostrea virginica ; host-parasite ; habitat restoration ; genetic variation
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-23
    Description: Dataset: Seagrass Braun–Blanquet Surveys
    Description: These data represent seagrass community composition surveys conducted from May to December 2021 around artificial reefs in shallow (less than 4 meters) coastal waters in The Bight of Old Robinson, off of Abaco Island, The Bahamas. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873083
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1948622
    Keywords: seagrass ; community composition ; survey
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-24
    Description: Dataset: Cryptic N: Seasonal STE Profiles
    Description: These data were collected during 2018-2020 from a sandy subterranean estuary (STE) located in Gloucester Point, Virginia, USA. Several campaigns were conducted to collect porewater across seasonal, tidal, and spatial scales. Porewater samples were collected from dedicated piezometers at depths ranging from 10 centimeters to 300 centimeters deep in the STE. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/807664
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1658135, NSF Division of Ocean Sciences (NSF OCE) OCE-1657801
    Keywords: porewater ; sandy subterranean estuary ; profiles
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-22
    Description: Dataset: Clownfish Photos
    Description: Clownfish photos taken in association with the clownfish log dataset (https://www.bco-dmo.org/dataset/781917) from the West coast of Leyte, the Philippines in the municipalities of Albuera (10.91667, 124.69667) and Bay Bay City (11.07611, 124.87525), 2015-2018. 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/862334
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1430218
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    Publication Date: 2022-11-22
    Description: Dataset: Mesocosm warming experiment temperature
    Description: This dataset includes seawater temperature measurements from mesocosms. Data were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite Labyrinthula zosterae. These data were plotted in Schenck et al (2022) as Figure S1. And Bois et al., 2021 as Figure 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/883037
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: climate change ; host-parasite ; microbiome ; seagrass ; wasting disease
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    Publication Date: 2022-11-22
    Description: Dataset: Mesocosm warming experiment quantitative PCR inhibition controls
    Description: This data set includes quantitative PCR cell count estimates from samples of DNA extracted from seagrass wasting disease parasite, Labyrinthula zosterae, cultures of known cell concentrations run with and without DNA extracted from seagrass, Zostera marina, tissue samples to test for quantitative PCR signal inhibition. Seagrass tissue samples were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite L. zosterae. These data were plotted in Schenck et al (2022) as Figure S6. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883055
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: climate change ; host-parasite ; microbiome ; seagrass ; wasting disease
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    Publication Date: 2022-11-22
    Description: Dataset: Fish and Invertebrate Transects
    Description: Fish and invertebrate transect survey dataset from the West coast of Leyte, the Philippines in the municipalities of Albuera (10.91667, 124.69667) and Bay Bay City (11.07611, 124.87525), 2014-2017. 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/862405
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1430218
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    Publication Date: 2022-11-22
    Description: Dataset: Mesocosm microbial analyses results
    Description: This dataset includes outputs from statistical analyses of differences in microbial taxa (amplicon sequence variant or ASV) abundance among two groups of seagrass, Zostera marina, genotypes: those that showed reduced Labyrinthula zosterae parasites when warmed vs those that showed increased L. zosterae parasites when warmed; and two seawater temperature treatments: ambient or elevated +3.2oC. Data were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite L. zosterae. These data were published in Schenck et al (2022). Related sequence data from this experiment is accessible from the National Center for Biotechnology Information (NCBI) BioProject PRJNA716355. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883070
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: climate change ; host-parasite ; microbiome ; seagrass ; wasting disease
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  • 40
    Publication Date: 2022-11-22
    Description: Dataset: Mesocosm warming experiment seagrass metrics
    Description: This dataset includes seagrass metrics (diversity, biomass, growth, and wasting disease) from mesocosm experiments at Bodega Marine Laboratory in July-September 2015. Data were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite Labyrinthula zosterae. These data were published in Schenck 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/879749
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: Zostera marina ; microbiome ; seagrass wasting disease ; host-parasite ; seagrass ; wasting disease
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-07
    Description: Dataset: Genome assembly: Montastrea cavernosa
    Description: Draft de novo genome assembly of M. cavernosa specimen collected from the West Bank of the Flower Garden Banks National Marine Sanctuary (27.88° N, 93.83° W) in 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/875253
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737312
    Keywords: cryptic speciation ; adaptation ; seascape genomics ; depth ; reef
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-07
    Description: Dataset: Sequencing Reads
    Description: Sequencing reads_(2bRAD) for broadcasters Montastrea cavernosa and Siderastrea siderea sampled in the Lower Florida Keys and brooders Agaricia agaricites and Porites astreoides sampled in Florida coral reefs, from Dry Tortugas to Fowley Rocks. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/874274
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737312
    Keywords: Coral ; population genetics ; gene expression ; genotype-environment association
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-08
    Description: Dataset: EN584 LV incubation, peptidase and glucosidase activities
    Description: Measurements of peptidase and glucosidase activities in large volume mesocosm incubations on RV/Endeavor EN584, July 2016 (Patterns of activities 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/717532
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1332881
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-08
    Description: Dataset: EN638 LV Plate Rates
    Description: Small substrate hydrolysis of large volume (LV) samples aboard the R/V Endeavor EN638, May 2019 in the Northern 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/821694
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736772
    Keywords: carbon cycling ; extracellular enzymes ; heterotrophy ; microbial activity ; biogeochemistry
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-16
    Description: Dataset: Thorium-234 from SalpPOOP cruise
    Description: This dataset represents Thorium-234 data from samples in the water column at the Chatham Rise (subtropical and subantarctic waters) on the Tangaroa Cruise 1810 (aka SalpPOOP cruise) in October and November 2018. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883989
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756465, NSF Division of Ocean Sciences (NSF OCE) OCE-1756610
    Keywords: thorium-234 ; uranium-thorium disequilibrium ; Carbon Export ; salps ; sinking particles
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-16
    Description: Dataset: Culture Characteristics
    Description: This dataset represents the growth behaviors of diatom (Phaeodactylum tricornutum) monoculture and diatom-bacteria co-cultures in the lab. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/856200
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1948163
    Description: 2023-07-21
    Keywords: volatile organic compounds ; Phaeodactylum tricornutum ; Synechococcus ; algae-bacteria interactions
    Repository Name: Woods Hole Open Access Server
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  • 47
    Publication Date: 2022-12-22
    Description: Dataset: GP15 Fe Zn Cd Dissolved and Stable Isotope Ratios - Leg 1
    Description: This dataset reports dissolved (0.2µm AcroPak filter) concentrations and stable isotope ratios of iron, zinc, and cadmium (Fe, Zn, and Cd) via Nobias PA-1 extraction and MC-ICPMS analysis in water samples collected by the GTC (GEOTRACES Trace-metal clean CTD carousel) and/or surface tow fish from 23 stations along the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15) on R/V Roger Revelle from September to October 2018. The GP15 cruise sailed from September to November 2018 on a meridional transect along 152°W from Alaska to Tahiti. Concentration and isotope data were collected by Dr. Matthias Sieber and Dr. Tim Conway at the University of South Florida using a Thermo Neptune Plus MC-ICPMS. Trace metal isotope ratios are an important tool to better understand the marine cycles of trace metals and their relationship to major nutrients. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883862
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737136
    Description: 2023-12-31
    Keywords: trace metals ; isotopes ; GEOTRACES
    Repository Name: Woods Hole Open Access Server
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  • 48
    Publication Date: 2022-12-22
    Description: Dataset: GP15 Fe Zn Cd Dissolved and Stable Isotope Ratios - Leg 2
    Description: This dataset reports dissolved (0.2µm AcroPak filter) concentrations and stable isotope ratios of iron, zinc, and cadmium (Fe, Zn, and Cd) via Nobias PA-1 extraction and MC-ICPMS analysis in water samples collected by the GTC (GEOTRACES Trace-metal clean CTD carousel) and/or surface tow fish from 23 stations along the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15) on R/V Roger Revelle from October to November 2018. The GP15 cruise sailed from September to November 2018 on a meridional transect along 152°W from Alaska to Tahiti. Concentration and isotope data were collected by Dr. Matthias Sieber and Dr. Tim Conway at the University of South Florida using a Thermo Neptune Plus MC-ICPMS. Trace metal isotope ratios are an important tool to better understand the marine cycles of trace metals and their relationship to major nutrients. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/884673
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737136
    Description: 2023-12-31
    Keywords: trace metals ; isotopes ; GEOTRACES
    Repository Name: Woods Hole Open Access Server
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  • 49
    Publication Date: 2022-12-30
    Description: Dataset: GP15 Iodine Redox Speciation Leg 1
    Description: This dataset includes inorganic iodine concentrations from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814), which took place on R/V Roger Revelle from September to October 2018. Iodate was analyzed on UV-Vis Spectrophotometer while Iodide was analyzed on the Hanging Mercury Drop Electrode with the Cathodic Square Wave Stripping Voltammetry setting. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873183
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756415
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  • 50
    Publication Date: 2022-12-30
    Description: Dataset: GP15 Iodine Redox Speciation Leg 2
    Description: This dataset includes inorganic iodine concentrations from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815), which was conducted on R/V Roger Revelle from October to November 2018. Iodate was analyzed on UV-Vis Spectrophotometer while Iodide was analyzed on the Hanging Mercury Drop Electrode with the Cathodic Square Wave Stripping Voltammetry setting. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873193
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  • 51
    Publication Date: 2022-12-30
    Description: Dataset: GP15 Iodine Redox Speciation Leg 1
    Description: This dataset includes inert copper and inorganic iodine concentrations from Leg 1 (Seattle, WA to Hilo, HI) of the US GEOTRACES Pacific Meridional Transect (PMT) cruise (GP15, RR1814), which took place on R/V Roger Revelle from September to October 2018. Iodate was analyzed on UV-Vis Spectrophotometer while Iodide was analyzed on the Hanging Mercury Drop Electrode with the Cathodic Square Wave Stripping Voltammetry setting. Inert copper was determined by Rintaro Moriyasu using the solvent extraction method published in Moriyasu & Moffett, 2022 (doi: 10.1016/j.marchem.2021.104073). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873183
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756415
    Keywords: copper ; Iodine ; Pacific Ocean ; photochemistry ; beryllium-7
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  • 52
    Publication Date: 2022-12-30
    Description: Dataset: GP15 Iodine Redox Speciation Leg 2
    Description: This dataset includes inert copper and inorganic iodine concentrations from Leg 2 (Hilo, HI to Papeete, French Polynesia) of the US GEOTRACES PMT cruise (GP15, RR1815), which was conducted on R/V Roger Revelle from October to November 2018. Iodate was analyzed on UV-Vis Spectrophotometer while Iodide was analyzed on the Hanging Mercury Drop Electrode with the Cathodic Square Wave Stripping Voltammetry setting. Inert copper was determined by Rintaro Moriyasu using the solvent extraction method published in Moriyasu & Moffett, 2022 (doi: 10.1016/j.marchem.2021.104073). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/873193
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756415
    Keywords: copper ; Iodine ; Pacific Ocean ; photochemistry ; beryllium-7
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  • 53
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-12-30
    Description: Dataset: Nitrogen Isotope Ratios in Amino Acid Standards and Samples
    Description: These data include Nitrogen Isotope Ratios (δ15N) in amino acid standards and in four field-collected samples. Certified δ15N values are either EA-IRMS values (Glutamic acid [Glu], USGS) or produced by the persulfate oxidization method (Phenylalanine [Phe], Knapp et al., 2005) or provided by McCarthy Lab (M-std and Cyano). Mixtures of 16 amino acids were also evaluated. The newly-developed method used here will help promote the use of δ15N-AA in important studies of nitrogen cycling and trophic ecology in a wide range of research areas. The Phe isotopic standards are available to the community for inter-lab method comparisons. These data were collected by PhD student Wingman (Charlotte) Lee and Dr. Lin Zhang (PI ) at the Texas A&M University-Corpus Christi. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/884976
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829947, NSF Division of Ocean Sciences (NSF OCE) OCE-1829834
    Keywords: amino acids ; nitrogen isotopes
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  • 54
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-07-06
    Description: Dataset: IRN-BRU MV1405 Transect 5 BioGeoChem
    Description: Biological, physical, and chemical data from surface Transect 5 on MV1405 (IRN-BRU) collected in July 2014 in the California Current System. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/876590
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1524482, NSF Division of Ocean Sciences (NSF OCE) OCE-1259776
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  • 55
    Publication Date: 2022-06-24
    Description: © The Author(s), 2022. This article is distributed under the terms of the Creative Commons Attribution License. The definitive version was published in Page, H. N., Bahr, K. D., Cyronak, T., Jewett, E. B., Johnson, M. D., & McCoy, S. J. Responses of benthic calcifying algae to ocean acidification differ between laboratory and field settings. Ices Journal of Marine Science, 79(1), (2022): 1–11, https://doi.org/10.1093/icesjms/fsab232.
    Description: Accurately predicting the effects of ocean and coastal acidification on marine ecosystems requires understanding how responses scale from laboratory experiments to the natural world. Using benthic calcifying macroalgae as a model system, we performed a semi-quantitative synthesis to compare directional responses between laboratory experiments and field studies. Variability in ecological, spatial, and temporal scales across studies, and the disparity in the number of responses documented in laboratory and field settings, make direct comparisons difficult. Despite these differences, some responses, including community-level measurements, were consistent across laboratory and field studies. However, there were also mismatches in the directionality of many responses with more negative acidification impacts reported in laboratory experiments. Recommendations to improve our ability to scale responses include: (i) developing novel approaches to allow measurements of the same responses in laboratory and field settings, and (ii) researching understudied calcifying benthic macroalgal species and responses. Incorporating these guidelines into research programs will yield data more suitable for robust meta-analyses and will facilitate the development of ecosystem models that incorporate proper scaling of organismal responses to in situ acidification. This, in turn, will allow for more accurate predictions of future changes in ecosystem health and function in a rapidly changing natural climate.
    Description: We would like to thank the Ocean Carbon and Biogeochemistry Program for organizing the fourth U.S. Ocean Acidification Principal Investigators meeting, which is where this synthesis was conceived. HNP was a postdoctoral research fellow at Mote Marine Laboratory. MDJ is a postdoctoral scholar at Woods Hole Oceanographic Institution. SJM is a Norma J. Lang early career fellow of the Phycological Society of America.
    Repository Name: Woods Hole Open Access Server
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  • 56
    Publication Date: 2022-06-27
    Description: Dataset: GP15 d13C-DIC Leg 1
    Description: d13C of Dissolved Inorganic Carbon (DIC) measured on bottle cast samples from 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 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/869595
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829796
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  • 57
    Publication Date: 2022-06-27
    Description: Dataset: GP15 FIA Dissolved Al Fe Mn Leg 2
    Description: his dataset reports shipboard Flow Injection Analysis (FIA) of dissolved Aluminum (Al), Iron (Fe), and Manganese (Mn) (0.2µm AcroPak filter) from samples collected by the GTC (GEOTRACES Trace-metal clean CTD carousel) and tow fish during 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. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/876152
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736906
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  • 58
    Publication Date: 2022-06-27
    Description: Dataset: GP15 FIA Dissolved Al Fe Mn Leg 1
    Description: This dataset reports shipboard Flow Injection Analysis (FIA) of dissolved Aluminum (Al), Iron (Fe), and Manganese (Mn) (0.2µm AcroPak filter) from samples collected by the GTC (GEOTRACES Trace-metal clean CTD carousel) and tow fish during 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. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/876137
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1736906
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  • 59
    Publication Date: 2022-06-27
    Description: Dataset: GP15 d13C-DIC Leg 2
    Description: d13C of Dissolved Inorganic Carbon (DIC) measured on bottle cast samples from 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 For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/869611
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829796
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  • 60
    Publication Date: 2022-06-27
    Description: Dataset: CTD data from Bongo plankton net tows
    Description: Up-casts temperature, salinity and density data from CTD mounted above Bongo net frame sampled aboard RV Bob and Betty Beyster and RV Shearwater cruises in the Southern California Bight from fall 2020 to spring 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/871003
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2053719
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  • 61
    Publication Date: 2022-06-22
    Description: In this paper we simulate the earthquake that hit the city of L'Aquila on the 6th of April 2009 using SPEED (SPectral Elements in Elastodynamics with Discontinuous Galerkin), an open-source code able to simulate the propagation of seismic waves in complex three-dimensional (3D) domains. Our model includes an accurate 3D recon- struction of the Quaternary deposits, according to the most up-to-date data obtained from the Microzonation studies in Central Italy and a detailed model of the topography incorporated using a newly developed tool (May et al. 2021). The sensitivity of our results with respect to dfferent kinematic seismic sources is inves- tigated. The results obtained are in good agreement with the recordings at the available seismic stations at epicentral distances within a range of 20km. Finally, a blind source prediction scenario application shows a reasonably good agreement between simulations and recordings can be obtained by simulating stochastic rupture realizations with basic input data. These results, although limited to nine simulated scenarios, demonstrate that it is possible to obtain a satisfactory reconstruction of a ground shaking scenario employing a stochastic source constrained on a limited amount of ex-ante information. A similar approach can be used to model future and past earthquakes for which little or no information is typically available, with potential relevant implications for seismic risk assessment.
    Description: Published
    Description: 29–49
    Description: 3T. Fisica dei terremoti e Sorgente Sismica
    Description: JCR Journal
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 62
    Publication Date: 2022-06-22
    Description: This article has been accepted for publication in Geophysical Journal International ©: The Authors 2022. Published by Oxford University Press on behalf of the Royal Astronomical Society. All rights reserved. Uploaded in accordance with the publisher's self-archiving policy.
    Description: On 29 December 2020, a shallow earthquake of magnitude Mw 6.4 struck northern Croatia, near the town of Petrinja, more than 24 hours after a strong foreshock (Ml 5). We formed a reconnaissance team of European geologists and engineers, from Croatia, Slovenia, France, Italy and Greece, rapidly deployed in the field to map the evidence of coseismic environmental effects. In the epicentral area, we recognized surface deformation, such as tectonic breaks along the earthquake source at the surface, liquefaction features (scattered in the fluvial plains of Kupa, Glina and Sava rivers), and slope failures, both caused by strong motion. Thanks to this concerted, collective and meticulous work, we were able to document and map a clear and unambiguous coseismic surface rupture associated with the main shock. The surface rupture appears discontinuous, consisting of multi-kilometer en échelon right stepping sections, along a NW-SE striking fault that we call the Petrinja-Pokupsko Fault (PPKF). The observed deformation features, in terms of kinematics and trace alignments, are consistent with slip on a right lateral fault, in agreement with the focal solution of the main shock. We found mole tracks, displacement on faults affecting natural features (e. g. drainage channels), scarplets, and more frequently breaks of anthropogenic markers (roads, fences). The surface rupture is observed over a length of ∼13 km from end-to-end, with a maximum displacement of 38 cm, and an average displacement of ∼10 cm. Moreover, the liquefaction extends over an area of nearly 600 km² around the epicenter. Typology of liquefaction features include sand blows, lateral spreading phenomenon along the road and river embankments, as well as sand ejecta of different grain size and matrix. Development of large and long fissures along the fluvial landforms, current or ancient, with massive ejections of sediments is pervasive. These features are sometimes accompanied by small horizontal displacements. Finally, the environmental effects of the earthquake appear to be reasonably consistent with the usual scaling relationships, in particular the surface faulting. This rupture of the ground occurred on or near traces of a fault that shows clear evidence of Quaternary activity. Further and detailed studies will be carried out to characterize this source and related faults in terms of future large earthquakes potential, for their integration into seismic hazard models.
    Description: Published
    Description: 1394–1418
    Description: 2T. Deformazione crostale attiva
    Description: JCR Journal
    Keywords: Seismicity and tectonics ; Earthquake hazards ; Coseismic effects ; M6.4 Petrinja earthquake (Croatia)
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 63
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-09-13
    Description: Dataset: Coastal Maine CTD Data
    Description: This dataset includes vessel CTD profiles from the outer reaches of the Damariscotta River Estuary in the mid-coast region of Maine collected from June 2017 to July 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/809309
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1435021
    Keywords: Estuary ; CTD profiles ; Damariscotta River
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  • 64
    Publication Date: 2022-08-30
    Description: Dataset: OFP Elemental
    Description: This dataset includes mass flux and concentrations of bulk components (Carbonate, Organic Carbon/Nitrogen, Lithogenics, Opal) and elements in the flux at 500m, 1500m, and 3200m depths from the Ocean Flux Program (OFP) sediment trap time-series in the northern Sargasso Sea. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/784396
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536644
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  • 65
    Publication Date: 2022-09-01
    Description: In the last years the scientific literature has been enriched with new models of the Moho depth in the Antarctica Continent derived by the seismic reflection technique and refraction profiles, receiver functions and seismic surface waves, but also by gravimetric observations over the continent. In particular, the gravity satellite missions of the last two decades have provided data in this remote region of the Earth and have allowed the investigation of the crust properties. Meanwhile, other important contributions in this direction has been given by the fourth International Polar Year (IPY, 2007–2008) which started seismographic and geodetic networks of unprecedented duration and scale, including airborne gravimetry over largely unexplored Antarctic frontiers. In this study, a new model for the Antarctica Moho depths is proposed. This new estimation is based on no satellite gravity measures, thanks to the availability of the gravity database ANTGG2015, that collects gravity data from ground-base, airborne and shipborne campaigns. In this new estimate of the Moho depths the contribution of the gravity measures has been maximized reducing any correction of the gravity measures and avoiding constraints of the solution to seismological observations and to geological evidence. With this approach a pure gravimetric solution has been determined. The model obtained is pretty in agreement with other Moho models and thanks to the use of independent data it can be exploited also for cross-validating different Moho depths solutions.
    Description: Published
    Description: 1404–1420
    Description: 1T. Struttura della Terra
    Description: JCR Journal
    Keywords: Antarctica ; Moho ; Gravity inversion ; Collocation ; ANTGG2015
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  • 66
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    Oxford University Press
    In:  EPIC3Geophysical Journal International, Oxford University Press, 231, pp. 1959-1981
    Publication Date: 2022-09-16
    Description: Seismic reflection and refraction data were collected in 2007 and 2012 to reveal the crustal fabric on a single long composite profile offshore Prydz Bay, East Antarctica. A P-wave velocity model provides insights on the crustal fabric, and a gravity-constrained density model is used to describe the crustal and mantle structure. The models show that a 230-km- wide continent–ocean transition separates stretched continental from oceanic crust along our profile. While the oceanic crust close to the continent–ocean boundary is just 3.5–5 km thick, its thickness increases northwards towards the Southern Kerguelen Plateau to 12 km. This change is accompanied by thickening of a lower crustal layer with high P-wave velocities of up to 7.5 km s–1, marking intrusive rocks emplaced beneath the mid-ocean ridge under increasing influence of the Kerguelen plume. Joint interpretations of our crustal model, seismic reflection data and magnetic data sets constrain the age and extent of oceanic crust in the research area. Oceanic crust is shown to continue to around 160 km farther south than has been interpreted in previous data, with profound implications for plate kinematic models of the region. Finally, by combining our findings with a regional magnetic data compilation and regional seismic reflection data we propose a larger extent of oceanic crust in the Enderby Basin than previously known.
    Repository Name: EPIC Alfred Wegener Institut
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  • 67
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Martha’s Vineyard Sound Iodine Isotope Tracer Experiments
    Description: This dataset includes iodine speciation and isotope measurements from iodine tracer experiments. Water samples were collected from a depth of 5 meters at the Woods Hole Oceanographic Institution's Environmental Systems Laboratory on Martha's Vineyard Sound, Massachusetts, 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/865249
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829406
    Keywords: Iodine speciation ; Iodine tracer
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  • 68
    Publication Date: 2022-10-31
    Description: Dataset: Global Noble Gases
    Description: Inert gases dissolved in the ocean are powerful tracers of the impact of physical processes on gases, particularly air-sea gas exchange (by both diffusive and bubble-meditated processes), temperature change, atmospheric pressure variation, mixing between different water masses, and ice processes. We have compiled a global ocean database of dissolved neon, argon, and krypton measurements, supplemented by helium, xenon, and nitrogen/argon (N2/Ar) ratios in some locations. Samples were collected on board multiple research cruises spanning the period 1999 through 2016 and analyzed by mass spectrometry at four different shore-based laboratories (University of Victoria, Woods Hole Oceanographic Institution, University of Washington, and Scripps Institution of Oceanography). Version 2.0 corrects an incorrect sign in the longitude for cruise 33KI20040814:HOT162 in version 1.0. The error in the database does not affect any figures in the publication (doi: 10.1146/annurev-marine-121916-063604). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/743867
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0623034, NSF Division of Ocean Sciences (NSF OCE) OCE-0926659, National Sciences and Engineering Research Council of Canada (NSERC) 328290-2006, NSF Division of Ocean Sciences (NSF OCE) OCE-1130870, NSF Division of Ocean Sciences (NSF OCE) OCE-1232991, NSF Division of Ocean Sciences (NSF OCE) OCE-1029299, National Sciences and Engineering Research Council of Canada (NSERC) 329290-2012, National Sciences and Engineering Research Council of Canada (NSERC) 433848-2012, National Sciences and Engineering Research Council of Canada (NSERC) 433898-2012, NSF Division of Ocean Sciences (NSF OCE) OCE-9617487, NSF Division of Ocean Sciences (NSF OCE) OCE-9819181, NSF Division of Ocean Sciences (NSF OCE) OCE-9906922, NSF Division of Ocean Sciences (NSF OCE) OCE-0221247, NSF Division of Ocean Sciences (NSF OCE) OCE-0242139, NSF Division of Ocean Sciences (NSF OCE) OCE-0647979, NSF Division of Ocean Sciences (NSF OCE) OCE-0825394
    Keywords: Noble gases ; Nitrogen ; Neon ; Argon ; Krypton ; Carbon pumps
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  • 69
    Publication Date: 2022-10-31
    Description: Dataset: Wasting Disease and Seagrass Field Experiment
    Description: This dataset includes wasting disease infection prevalence and severity in four Zostera marina subpopulations located along a 30 kilometer stretch of coastline on the North shore of Massachusetts. Surveys of subpopulations were conducted in July and September 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/851122
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: Labyrinthula zosterae ; Parasite ; Seagrass ; Wasting disease ; Zostera marina
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  • 70
    Publication Date: 2022-10-31
    Description: Dataset: Symbiodiniaceae communities in corals with ITS-2 rDNA amplicon sequencing
    Description: Symbiodiniaceae communities were investigated at three locations on the Great Barrier Reef in October 2014. Acropora millepora samples from Davies Reef lagoon (18°30′3.96′′S, 147°22′48′′E), Rib Reef (18°28′53.4′′S, 146°52′24.96′′E), and Pandora Island (18°48′45′′S, 146°25′59.16′′E), were exposed to various stressors including pCO2, heat, bacteria, all of these, or none of these (control). This dataset lists accessions and collection information for ITS-2 rDNA amplicon data that are available at the National Center for Biotechnology Information (NCBI) under BioProject PRJNA596498. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/844431
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635798
    Keywords: Acropora millepora ; Alpha diversity ; Beta diversity ; Climate change ; Coral ; Symbiodiniaceae
    Repository Name: Woods Hole Open Access Server
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Effects of mussels on seawater chemistry
    Description: This dataset represents average conditions and chemical fluxes during mussel bed experiments where chemistry (pH and O2) was measured at defined heights within and above the mussel bed. These data describe average conditions outside of the mussel bed during each profile sampled at the Bodega Marine Laboratory, University of California, Davis in 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/869361
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1636191
    Keywords: Mytilus californicus ; Mussel bed ; Biogenic habitat ; Foundation species ; Carbonate chemistry ; Chemical gradients ; Calcification ; Respiration ; Flow speed ; PH ; Oxygen
    Repository Name: Woods Hole Open Access Server
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  • 72
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Coral reefs in the US Virgin Islands
    Description: These data describe the results of surveys of coral reefs at 10 m depth at 12 sites around St. Thomas and St. John, US Virgin Islands from 2011-2021 (up to 4 surveys). These results will be published in Edmunds & Smith (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/872285
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2019992
    Description: 2022-04-30
    Keywords: Coral reef ; Ecology ; Time series ; US Virgin Islands
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  • 73
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Legacy of predators: behavior
    Description: To investigate anti-predatory and foraging behaviors of whelks, we conducted laboratory experiments at Bodega Marine Laboratory in 2017 to test whether previous predator exposure had a sustained effect on prey foraging and in turn on a basal resource, even after the predator was removed. We tested for both behavioral and morphological legacies of prior predation. The study system consisted of a tri-trophic food chain, using the red rock crab, Cancer productus, as the predator, the carnivorous whelk, Nucella ostrina, as the prey species, and the California mussel, Mytilus californianus, as the basal resource. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/869563
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1636191
    Keywords: Fear persistence ; Legacy of fear ; Anti-predator responses ; Intertidal species interactions
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  • 74
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Mesocosm study: sea star behavior
    Description: This dataset represents a mesocosm study of trophic interactions under ocean acidification, focusing on sea star behavior in Bodega Bay, California. This study is part of a larger experiment to investigate how pH influences trophic links between intertidal sea stars (Leptasterias hexactis), snails (Tegula funebralis), and macroalgae (Mazzaella flaccida). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/866365
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1636191
    Keywords: Carbon dioxide ; Tidepool ; Predator-prey interaction ; Benthic invertebrates ; Behavior ; Non-consumptive effects
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  • 75
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Abalone respiration rates from the Sitka Sound (SSSC)
    Description: This data shows juvenile, non-reproductive Abalone respiration responses (represented by measured dissolved oxygen) to a fully factorial mesocosm experiment that manipulates pH and diet. This data was collected from June to October 2017 at the Sitka Sound Science Center (SSSC). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/856199
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1752600
    Keywords: Feeding ; Energetics ; Abalone ; Ocean acidification ; Diet ; Respirometry
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  • 76
    Publication Date: 2022-10-31
    Description: Dataset: Intra-annual salinity and temperature variation in four regions across latitude
    Description: Temperature and salinity measurements from coastal sites across a latitudinal gradient spanning the subarctic to the tropics. Environmental variables were obtained at 1 meter below the water surface and are represented in biweekly periods for one year. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/863108
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1434528
    Keywords: Salinity ; Seawater temperature ; Nearshore ; Marinas
    Repository Name: Woods Hole Open Access Server
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  • 77
    Publication Date: 2022-10-31
    Description: Dataset: Richness of marine invertebrate communities across latitude with exposure to predation
    Description: Richness 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/862052
    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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  • 78
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Coral Growth
    Description: This dataset represents Antillogorgia elisabethae branch extension measurements for colonies clipped to 10 or 4 branches or not clipped. Data were collected as part of a project on recruitment among density-manipulated populations of Caribbean gorgonians sampled from San Salvador and Abaco, The Bahamas from June 1999 and June 2000. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/872600
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756381, NSF Division of Ocean Sciences (NSF OCE) OCE-0327129
    Keywords: Antillogorgia ; Gorgonian ; Harvest ; Astogeny ; Coral reef ; Modular organism ; Partial mortality
    Repository Name: Woods Hole Open Access Server
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  • 79
    Publication Date: 2022-10-31
    Description: Dataset: Primary producer amino acid nitrogen isotope data meta-analysis
    Description: This dataset is a meta-analysis of primary producer amino acid δ15N data presented in Ramirez et al. (2021). A literature review provided primary producer amino acid isotope data with ecologically relevant information to examine beta variability in trophic position estimates. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/870320
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2049307
    Keywords: Compound specific isotope analysis ; Amino Acid ; Food web ; Trophic ecology
    Repository Name: Woods Hole Open Access Server
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  • 80
    Publication Date: 2022-10-31
    Description: Dataset: Biomass of experimental marine invertebrate communities across latitude
    Description: Biomass of sessile marine invertebrates from coastal sites across a latitudinal gradient spanning the subarctic to the tropics. Biomass of each community was measured after a developmental period of three or 12 months under nine different treatments that tested the effect of predation and competition. Caging was used to reduce predation pressure and biomass removals opened up space, a limiting resource in sessile communities. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/861655
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1434528
    Keywords: Marine invertebrate ; Predation ; Competition ; Latitude ; Marine invasion
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  • 81
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Sea urchin density Galápagos Islands
    Description: Sea urchin (E. galapagensis) densities showed high variability across twelve study sites in the Galápagos Islands in 2016-2017. Sea urchin densities ranged from a low of 0.17 individuals per 0.25 square meter quadrat at the Pinzon site to a maximum of 7.7 individuals per quadrat at the Champion site in January 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/872905
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1623867
    Keywords: Sea Urchin ; Rocky subtidal ; Community structure
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  • 82
    Publication Date: 2022-10-31
    Description: Dataset: Predation intensity on marine invertebrate communities across latitude observed using underwater video
    Description: Predation intensity recorded from exposed prey communities at 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. Mature prey communities were then exposed to ambient predation, with a high definition camera recording all predation events during the diurnal period over three days of exposure. This experiment provided an assessment of predation intensity (and predator identity) 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/863158
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1434528
    Keywords: Marine invertebrate ; Predation ; Latitude ; Fish ; Nearshore
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  • 83
    Publication Date: 2022-10-31
    Description: Dataset: Recruitment composition of sessile marine invertebrate communities across latitude
    Description: Composition of newly recruited communities of sessile marine invertebrates from coastal sites across a latitudinal gradient spanning the subarctic to the tropics. Caging treatments were employed to test the effect of predation on recruitment. Monitoring began in Alaska in June 2015, California in May 2016, Mexico in June 2017 and Panama in December 2015. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/863126
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1434528
    Keywords: Marine invertebrate ; Predation ; Latitude ; Recruitment ; Nearshore
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  • 84
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Coral Branching per Source
    Description: This dataset represents Antillogorgia elisabethae colony growth measurements for colonies clipped to 10 or 4 branches or not clipped in June 1999 and monitored in June 2000 at two sites in The Bahamas. This dataset includes branching data including per capita branching ratio, number of new branches, and number of new branches per mother branch. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/872486
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756381, NSF Division of Ocean Sciences (NSF OCE) OCE-0327129
    Keywords: Antillogorgia ; Gorgonian ; Harvest ; Astogeny ; Coral reef ; Modular organism ; Partial mortality
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  • 85
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Chlorophyll-a: EN532 and EN538
    Description: Chlorophyll-a concentrations from CTD cast deployments and underway seawater inflow from Endeavor 532 and Endeavor 538 cruises in 2013 (August and September) and 2014 (April and May). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/651784
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1136345
    Keywords: Chlorophyll a ; CTD
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  • 86
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Experimental coral treatments
    Description: Coral samples from reefs in Mo'orea, French Polynesia were exposed to various experimental treatments to quantify how different environmental stressors impact the coral health and microbial community structure of the corals. Environmental stressors included increased temperature and nutrients as well as exudate released from corals when they bleach. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/843188
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1635798, NSF Division of Ocean Sciences (NSF OCE) OCE-1635913
    Keywords: Coral reef ; Holobiont ; Coral microbiome ; Climate change
    Repository Name: Woods Hole Open Access Server
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  • 87
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Tide Pool Community Surveys: Sessile organisms
    Description: This dataset includes information on sessile species found in tide pools on a rocky shoreline during community surveys conducted at John Brown’s Beach, Sitka, Alaska, USA from 2018 to 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/872885
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756173, NSF Division of Ocean Sciences (NSF OCE) OCE-1756208, NSF Division of Ocean Sciences (NSF OCE) OCE-1756216, NSF Division of Ocean Sciences (NSF OCE) OCE-1904185
    Keywords: Alaska ; Sitka ; Rocky intertidal ; Seasonality ; Survey ; Tidepool
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  • 88
    Publication Date: 2022-10-31
    Description: Dataset: GT10-11 - Neodymium - USC
    Description: Seawater Nd isotopes and concentrations from the US-GEOTRACES North Atlantic zonal transect (NAZT), 2010 and 2011 on cruises KN199-04 and KN204-01, analyzed by USC. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/3832
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0927241, NSF Division of Ocean Sciences (NSF OCE) OCE-0928409, NSF Division of Ocean Sciences (NSF OCE) OCE-0926981
    Keywords: GEOTRACES ; Atlantic zonal transect ; Neodymium isotopes
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  • 89
    Publication Date: 2022-10-31
    Description: Dataset: GT10-11 - Neodymium - LDEO
    Description: Seawater Nd isotopes and concentrations from the US-GEOTRACES North Atlantic zonal transect (NAZT), 2010 and 2011 on cruises KN199-04 and KN204-01, analyzed at LDEO. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/780582
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0927241, NSF Division of Ocean Sciences (NSF OCE) OCE-0928409, NSF Division of Ocean Sciences (NSF OCE) OCE-0926981
    Keywords: GEOTRACES ; Atlantic zonal transect ; Neodymium isotopes
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  • 90
    Publication Date: 2022-10-31
    Description: Dataset: GT10-11 - Neodymium - UH
    Description: Seawater Nd isotopes and concentrations from the US-GEOTRACES North Atlantic zonal transect (NAZT), 2010 and 2011 on cruises KN199-04 and KN204-01, analyzed by U Hawaii. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/780664
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-0927241, NSF Division of Ocean Sciences (NSF OCE) OCE-0928409, NSF Division of Ocean Sciences (NSF OCE) OCE-0926981
    Keywords: GEOTRACES ; Atlantic zonal transect ; Neodymium isotopes
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  • 91
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Gross oxygen production
    Description: Gross oxygen production and total daytime oxygen consumption derived from in vitro incubations deployed in situ at different depths at Station ALOHA during June 2019 (cruise ID KM1910) For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/868714
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1911990
    Keywords: Primary production ; Gross oxygen production ; Respiration ; Station ALOHA ; North Pacific Subtropical Gyre
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  • 92
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Tide Pool Community Surveys: Mobile organisms
    Description: This dataset includes information on mobile organisms found in tide pools during community surveys conducted at John Brown’s Beach, Sitka, Alaska, USA from 2018 to 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/872957
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756173, NSF Division of Ocean Sciences (NSF OCE) OCE-1756208, NSF Division of Ocean Sciences (NSF OCE) OCE-1756216, NSF Division of Ocean Sciences (NSF OCE) OCE-1904185
    Keywords: Alaska ; Sitka ; Rocky intertidal ; Seasonality ; Survey ; Tidepool
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  • 93
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Mixed layer oxygen to argon
    Description: Oxygen to argon molar ratios measured in surface waters of Station ALOHA between June 16 and June 23, 2019 onboard R/V Kilo Moana cruise KM1910. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/868774
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1911990
    Keywords: O2/Ar ; Oxygen ; Argon ; Oxygen to argon ratio ; Station ALOHA ; North Pacific Subtropical Gyre
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Physiological data
    Description: Five genotypes of Breviolum Antillogorgia were grown at three temperatures where growth rate, carrying capacity, respiration, gross photosynthesis, and new photosynthesis were quantified. This work was conducted in laboratory growth chambers in Los Angeles, California, USA in 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/874587
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1559105
    Keywords: Symbiodiniaceae ; Symbionts ; Genetic variation ; Mutualism
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  • 95
    Publication Date: 2022-10-31
    Description: Dataset: Culture Data
    Description: This dataset includes measurements of respiration, net photosynthesis, and gross photosynthesis of five different genotypes of Symbiodinium microadriaticum in culture at three different temperatures. This study was conducted in laboratory growth chambers in Los Angeles, California, USA in October 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/874597
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1559105
    Keywords: Symbiodiniaceae ; Symbionts ; Genetic variation ; Mutualism
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Population Growth
    Description: This dataset includes measurements of per-capita growth and carrying capacity of five different genotypes of Symbiodinium microadriaticum in culture at three different temperatures. This work was conducted in laboratory growth chambers in Los Angeles, California, USA, in May and July 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/874619
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1559105
    Keywords: Symbiodiniaceae ; Symbionts ; Genetic variation ; Mutualism
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  • 97
    Publication Date: 2022-10-31
    Description: Dataset: Polyp Fitness
    Description: This dataset includes measurements of the responses of polyps (survival, inoculation time, time to strobilation, time to ephyra production, bud production, ephyra production) to exposure to five different algal symbiont genotypes. This work was conducted in laboratory growth chambers in Los Angeles, California, 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/874609
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1559105
    Keywords: Symbiodiniaceae ; Symbionts ; Genetic variation ; Mutualism
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  • 98
    Publication Date: 2022-10-31
    Description: Dataset: Invertebrate Barcodes from Papua New Guinea
    Description: This dataset contains GenBank accession links of the invertebrates collected in April and November of 2014 from Autonomous Reef Monitoring Structures (ARMS) on the acidification gradient from shallow fringing reefs near Dobu and Upa Upasina, Milne Bay Province, Papua New Guinea. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/874478
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1558868
    Keywords: Benthic invertebrates ; Coral reefs
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  • 99
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Ruergeria pomeroyi DSS-3 replete proteome
    Description: This dataset represents the global proteome of replete laboratory cultures of Ruergeria pomeroyi DSS-3 (collected in triplicate). This dataset is an initial examination of the proteome allocation of this heterotrophic bacteria and will contribute to C-CoMP's efforts that are focused on understanding the physiology of model marine bacteria. A total of 2341 proteins were identified in DSS-3. The Moran laboratory at University of Georgia grew and prepared the cultures and the Saito laboratory at Woods Hole Oceanographic Institution conducted the proteomics analyses. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/875600
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2019589
    Keywords: Proteomics ; Marine bacteria ; Physiology ; Metabolites ; Biogeochemistry
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Percent cover of Millepora at Cabritte Horn
    Description: These data describe the abundance of Millepora species (as percent cover) at Cabritte Horn, St. John, US Virgin Islands from 1992-2021. They are used to evaluate how the abundance of this coral (% cover) has changed over three decades. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/875524
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2019992
    Keywords: Millepora species ; Coral cover ; Reef ; Caribbean
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Expected Availability
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