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  • Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu  (1,780)
  • American Geophysical Union (AGU)
  • Oxford University Press
  • American Association for the Advancement of Science (AAAS)
  • American Chemical Society (ACS)
  • 2020-2023  (1,822)
Collection
Publisher
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
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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: 2022-07-06
    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
    Repository Name: Woods Hole Open Access Server
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  • 7
    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
    Type: Article
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  • 8
    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
    Repository Name: Woods Hole Open Access Server
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  • 9
    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
    Repository Name: Woods Hole Open Access Server
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  • 10
    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
    Repository Name: Woods Hole Open Access Server
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  • 11
    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
    Repository Name: Woods Hole Open Access Server
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  • 12
    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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  • 13
    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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  • 14
    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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  • 15
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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
    Repository Name: Woods Hole Open Access Server
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  • 16
    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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  • 17
    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
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
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  • 18
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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
    Type: Article , isiRev
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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: 2022-10-31
    Description: Dataset: Seawater Temperature and Salinity
    Description: This dataset includes seawater temperature and salinity measurements from mesocosms and from a field location at Curlew Beach. Data were collected as part of a study examining seagrass responses to Labyrinthula zosterae conducted in a greenhouse at Northeastern University Marine Science Center in Nahant, Massachusetts from May to August 2016. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/851059
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: Labyrinthula zosterae ; Parasite ; Seagrass ; Wasting disease ; Zostera marina
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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: 2022-10-31
    Description: Dataset: Arabian Gulf Carbonate System Chemistry
    Description: The data show that the average value of pCO2 in surface seawater in the Exclusive Economic Zone of Qatar is supersaturated with respect to the atmosphere. The excess pCO2 reflects a balance between a source due to the impact of increasing T and S on the carbonate system equilibrium constants and a sink due to CO2 loss due to gas exchange from surface seawater after it enters the Gulf through the Strait of Hormuz. Nevertheless, CaCO3 formation was still more important, relative to net biological production, than in the open ocean. The tracer Alk* has values determined by CaCO3 formation and had values suggesting substantial CaCO3 formation. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/833517
    Description: International Research Co-Fund Collaboration Program of QU (IRCC) IRCC-2019-002
    Keywords: Carbonate chemistry ; Persian/Arabian Gulf ; EEZ of Qatar ; DIC ; Alkalinity ; PCO2
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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: 2022-10-31
    Description: Dataset: WAP model float data
    Description: Antarctic Peninsula ROMS model Palmer Deep area drifter data For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/867442
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1745009, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1744884, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1745011
    Keywords: Antarctic Peninsula ; ROMS ; Model ; Palmer Deep ; Drifter
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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: 2022-10-31
    Description: Dataset: Nutrient and metabolic fluxes on oyster reefs
    Description: This dataset contains the nutrient and metabolic fluxes data that was published in Jackson et al. (2018) that compared two methods of measuring nutrient and metabolic fluxes on restored oyster reefs: incubations including intact segments of oyster reef and incubations containing oyster clumps without underlying sediments. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/870783
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1427019
    Keywords: Oyster ; Biogeochemistry ; Oyster restoration ; Denitrification
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  • 23
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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: snail behavior
    Description: This dataset represents a mesocosm study of trophic interactions under ocean acidification, focusing on snail responses in Bodega Bay, California. This dataset 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/869148
    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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  • 24
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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 consumption rates from the Sitka Sound (SSSC)
    Description: To determine the effect of current and future seasonal differences in carbonate chemistry on abalone bioenergetics, this experiment exposed juvenile, non-reproductive (36 ± 5 mm) H. kamschatkana to three pH/pCO2 levels (i.e., pHT 8.1, 7.8, 7.5) for four months in a flow-through system at the Sitka Sound Science Center (SSSC) from June-October 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/855075
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1752600
    Keywords: Feeding ; Energetics ; Abalone ; Ocean acidification ; Diet
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  • 25
    Publication Date: 2022-10-31
    Description: Dataset: Composition of experimental marine invertebrate communities across latitude
    Description: Community composition of sessile marine invertebrates from coastal sites across a latitudinal gradient spanning the subarctic to the tropics. Communities developed for 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/861250
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1434528
    Keywords: Marine invertebrate ; Predation ; Competition ; Latitude ; Marine invasion
    Repository Name: Woods Hole Open Access Server
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  • 26
    Publication Date: 2022-10-31
    Description: Dataset: Richness of experimental marine invertebrate communities across latitude
    Description: Richness of sessile marine invertebrate communities from coastal sites across a latitudinal gradient spanning the subarctic to the tropics. Communities developed for 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/861234
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1434528
    Keywords: Marine invertebrate ; Predation ; Competition ; Latitude ; Marine invasion
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  • 27
    Publication Date: 2022-10-31
    Description: Dataset: Lost City Fluids - Radium
    Description: This dataset includes radiochemistry data for fluids from 7 vent sites (Marker 2, Beehive, Marker 8, Marker 3, Calypso, Marker C. and Sombrero) at the Lost City Hydrothermal Field at the Atlantis Massif (30N, Mid-Atlantic Ridge). Fluid samples were collected in September 2018 during the AT42-01 expedition of the R/V Atlantis with the remotely operated vehicle (ROV) Jason II. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/864434
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1536702, NSF Division of Ocean Sciences (NSF OCE) OCE-1736321
    Keywords: Serpentinization ; Radium ; Residence time ; Uranium ; Ultramafic
    Repository Name: Woods Hole Open Access Server
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  • 28
    Publication Date: 2022-10-31
    Description: Dataset: Dissolved trace metal (Mn, Fe, Co, Ni, Cu, Zn, Cd, Pb) concentration
    Description: Concentrations of dissolved (〈0.2 µm) manganese (Mn), iron (Fe), cobalt (Co), nickel (Ni), copper (Cu), zinc (Zn), cadmium (Cd), lead (Pb) in surface (~2 m) samples collected between 15 August 2018 and 6 September 2018 during EXports Processes in the Oceans from RemoTe Sensing (EXPORTS) cruise aboard RV Roger Revelle RR1813 at Ocean Station PAPA (Station P). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/869683
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756816, NSF Division of Ocean Sciences (NSF OCE) OCE-1756433, NSF Division of Ocean Sciences (NSF OCE) OCE-1756442
    Keywords: Dissolved trace metals ; Ocean Station Papa ; Line P ; EXPORTS ; EXPORTS-NP
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  • 29
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Thermal buffering by mussels
    Description: This datasets represent a study of thermal buffering potential of mussels across latitude on the West coast of the United States from June - October of 2012 and 2013. We measured marine intertidal habitat temperatures on horizontal surfaces in experimentally formed rock clearings and inside two different biogenic habitats dominated by the foundation species Mytilus californianus Conrad 1837, the California mussel, and the turf-forming ‘black pine’ alga, Neorhodomela larix (Turner) Masuda, 1982. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/869374
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1636191
    Keywords: Thermal physiology ; Heat stress ; Latitude ; Ecosystem engineers ; Facilitation ; Mytilus californicus
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  • 30
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    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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  • 31
    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
    Repository Name: Woods Hole Open Access Server
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  • 32
    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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  • 33
    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
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  • 34
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    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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  • 35
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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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  • 36
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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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  • 37
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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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    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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  • 39
    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
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  • 40
    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
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  • 41
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Mesocosm study: algae eaten
    Description: This dataset represents a mesocosm study of trophic interactions under ocean acidification, focusing on the consumption of algae by snails in Bodega Bay, California. This dataset 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/866359
    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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  • 42
    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
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  • 43
    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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  • 44
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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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  • 45
    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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  • 46
    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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    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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  • 48
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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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    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
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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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  • 51
    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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  • 52
    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
    Repository Name: Woods Hole Open Access Server
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    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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  • 54
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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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    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
    Repository Name: Woods Hole Open Access Server
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  • 56
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    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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  • 57
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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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  • 58
    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
    Repository Name: Woods Hole Open Access Server
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  • 59
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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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  • 60
    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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  • 61
    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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  • 62
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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
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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
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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 macroalgae at Cabritte Horn
    Description: These data describe the abundance of macroalgae in quadrats at Cabritte Horn in St. John from 1992-2020. The percent cover for macroalgae is used to test for an association with Millepora abundance. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/875543
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2019992
    Keywords: Coral reef ; US Virgin Islands ; Macroalgae ; Benthic cover
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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: Alteromonas macleodii MIT1002 replete proteome
    Description: This dataset represents the global proteome of replete laboratory cultures of Alteromonas macleodii MIT1002 (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 2075 proteins were identified in MIT1002. 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/875612
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2019589
    Keywords: Proteomics ; Marine bacteria ; Physiology ; Metabolites ; Biogeochemistry
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  • 66
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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: CICLOPS Dissolved Nutrients
    Description: This dataset provides seawater macronutrient concentrations from the Amundsen and Ross Seas, including from Terra Nova Bay, collected onboard the R/V Nathaniel B. Palmer as part of the Cobalamin and Iron Co-Limitation of Phytoplankton Species (CICLOPS) expedition from December 11, 2017 to March 3, 2018. Samples analyzed for phosphate, nitrite, nitrate + nitrite, silicate and ammonia were collected from full depth profiles via a trace-metal-clean rosette (TMR), filtered with a 0.2 um filter, and stored frozen until analysis via a nutrient autoanalyzer. Sensor hydrography data from each sample depth is also provided. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/874841
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1644073, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1643684, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1643845
    Keywords: Ross Sea ; Amundsen Sea ; CICLOPS ; Nutrients
    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: Acropora hyacinthus energetics and reproduction
    Description: The French Polynesian island of Mo’orea experienced a severe mass bleaching event in 2019 accompanied by widespread coral mortality. At the most heavily impacted sites, Acropora hyacinthus individuals that were resistant to bleaching were observed alongside colonies that bleached but showed signs of symbiont recovery shortly after the bleaching event. Fragments of healthy A. hyacinthus colonies five months post-bleaching were sampled for energetic assays and histological measurements. Despite healthy appearances in both resistant and recovered corals, recovered colonies had significantly reduced energy reserves compared to resistant colonies. In addition, compound effects of stress on reproduction were observed: recovered colonies displayed both a lower probability of containing gametes and lower fecundity per polyp. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/876072
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1935308, NSF Division of Ocean Sciences (NSF OCE) OCE-1935305
    Keywords: Coral bleaching ; Reproductive histology ; Energetics ; French Polynesia ; Acropora hyacinthus
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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: Seawater temperature at Yawzi Point (1991-2021)
    Description: These data describe seawater temperature in Great Lameshur Bay from 1991-2021. They are daily averages from temperature logger measurements made at Yawzi Point, St.John USVI. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/875694
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2019992
    Keywords: Seawater temperature ; Caribbean ; US Virgin Islands
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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: Millepora features
    Description: These data describe the results of surveys of coral reefs at 10 meters depth at Cabritte Horn to evaluate the abundance and features of the calcareous hydrozoan, Millepora. The data are used to explore how the sheet-tree morphology has changed over time in response to environmental conditions. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/875553
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2019992
    Keywords: Millepora species ; Hydrocoral ; Phenotype ; Morphology ; Sheet-tree
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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: MOSAIC Expedition Ice Core Be7
    Description: This is a dataset of ice core Be7 concentrations from the MOSAIC expedition (R/V Polarstern PS122) in the Central Arctic Ocean from October 2019 to May 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/875885
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1753408, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1753423, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1753418
    Keywords: MOSAiC ; Arctic Ocean ; Ice cores ; Be7 concentration
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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: MOSAIC Expedition Aerosol Be7
    Description: This is a dataset of arctic aerosol Be7 concentrations from the MOSAIC expedition on the R/V Polarstern in the Central Arctic Ocean from December 2019 to June 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/875869
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1753408, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1753423, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1753418
    Keywords: MOSAiC ; Arctic Ocean ; Aerosols ; Be7 concentration
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  • 72
    Publication Date: 2022-10-31
    Description: Dataset: Share Your Thoughts
    Description: Oceanographic data, when well-documented and stewarded toward preservation, have the potential to accelerate new science and facilitate our understanding of complex natural systems. The Biological and Chemical Oceanography Data Management Office (BCO-DMO) is funded by the NSF to document and manage marine biological, chemical, physical, and biogeochemical data, ensuring their discovery and access, and facilitating their reuse. The task of curating and providing access to research data is a collaborative process, with associated actors and critical activities occurring throughout the data’s life cycle. BCO-DMO supports all phases of the data life cycle and works closely with investigators to ensure open access of well-documented project data and information. Supporting this curation process is a flexible cyberinfrastructure that provides the means for data submission, discovery, and access; ultimately enabling reuse. Based upon community feedback, this infrastructure is undergoing evaluation and improvement to better meet oceanographic research needs. This poster will introduce the repository and describe some of the strategic enhancements coming to BCO-DMO, and presents an opportunity for you to provide feedback on enhancements yet to come. We invite you to think about your own research workflow of searching and accessing new data for research, and to provide your feedback through the poster’s interactive sections. Your input can help BCO-DMO improve its service to the research community. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/825238
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1924618
    Keywords: Data management. stakeholder needs ; Oceanography ; BCO-DMO ; Repository ; Community building
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  • 73
    Publication Date: 2022-10-31
    Description: Dataset: In situ dissolution rates of biogenic calcites
    Description: This dataset includes biogenic and inorganic calcite and aragonite dissolution rates from the CDisK-IV cruise in the North Pacific Ocean, August 2017. We include niskin incubator alkalinity, pH, silicate, phosphate, and nitrate data, as well as calculated saturation state and dissolution rates. Rates are reported in units of g/g/day and also g/cm2/day, normalized by the specific surface areas of the materials used. Dissolution rates of inorganic aragonite and calcite, along with biogenic E. huxleyi liths, a planktic foraminifera assemblage, and a benthic foraminifera Amphistegina species, are provided, for 4 out of the 6 stations occupied on the cruise. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/856409
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1220600, NSF Division of Ocean Sciences (NSF OCE) OCE-1220302
    Keywords: Calcium Carbonate ; Dissolution ; Carbon cycle ; Calcite ; Aragonite
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  • 74
    Publication Date: 2022-10-31
    Description: Dataset: Transmission and Lesion Data
    Description: This dataset represents the ecological results of a stony coral tissue loss disease (SCTLD) multi-species transmission experiment. Eight colonies of six species of corals (Colpophyllia natans, Montastraea cavernosa, Orbicella annularis, Porites astreoides, Pseudodiploria strigosa, and Siderastrea siderea) were split in half and one half of these fragments were simultaneously exposed toSCTLD-affected colonies of Diploria labyrinthiformis and the other half were exposed to healthy colonies of D. labyrinthiformis. All corals were monitored for lesion appearance over an eight day experimental period. No lesions were recorded on healthy-exposed corals. Numbers of fragments showing lesion appearance, time to lesion appearance, and expansion rates of lesions for SCTLD-exposed corals are reported here. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/875156
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1928753, NSF Division of Ocean Sciences (NSF OCE) OCE-1927277, NSF Division of Ocean Sciences (NSF OCE) OCE-1928771, NSF Division of Ocean Sciences (NSF OCE) OCE-1928817, NSF Division of Ocean Sciences (NSF OCE) OCE-1928761, NSF Division of Ocean Sciences (NSF OCE) OCE-1928609
    Keywords: Stony coral tissue loss disease ; Coral disease ; Transmission experiment ; Lesion progression rate
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  • 75
    Publication Date: 2022-10-31
    Description: Dataset: Porewater Nutrients
    Description: Nutrients measured in porewater from sediments collected at Guaymas Basin from R/V JOIDES Resolution IODP-385 cruise in the Guaymas Basin between September and November, 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/869414
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2048489
    Keywords: Nutrients ; Nitrate ; TOC ; TN ; NOx
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  • 76
    Publication Date: 2022-10-31
    Description: Dataset: Bottle TN368
    Description: Bottle sample data from CTD casts from the third cruise of SPIROPA project, R/V Thomas G. Thompson cruise TN368, to the New England Shelfbreak in July of 2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/849340
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1657803
    Keywords: Nutrients ; Productivity ; Chlorophyll
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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: Pyrosomes - MOCNESS
    Description: Pyrosome (Pyrosoma atlanticum) samples from MOCNESS tows in the Northern California Current. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/866663
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737399, NSF Division of Ocean Sciences (NSF OCE) OCE-1737364
    Keywords: Pyrosoma atlanticum ; Vertical distribution ; California Current
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    Publication Date: 2022-10-31
    Description: Dataset: Pyrosomes - Cam
    Description: Pyrosome (Pyrosoma atlanticum) counts from vertical video profiles in the Northern California Current acquired between February and 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/866614
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1737399, NSF Division of Ocean Sciences (NSF OCE) OCE-1737364
    Keywords: Pyrosoma atlanticum ; Vertical distribution ; California Current ; Video profile
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    Publication Date: 2022-10-31
    Description: Dataset: Hydrocarbon Compounds
    Description: Hydrocarbon compounds identified and measured in sediments and porewaters using gas chromatography from R/V JOIDES Resolution IODP-385 cruise in the Guaymas Basin between September and November, 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/869407
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2048489
    Keywords: PAHs ; Hydrocarbons ; Alkanes ; Guyamas Basin ; Subseafloor ; IODP385 ; Perhydro-PAHs ; Benzothiophenes
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  • 80
    Publication Date: 2022-10-31
    Description: Dataset: CTD AR29, RB1904 and TN3638
    Description: CTD casts from the first, second and third cruises of the SPIROPA project. The first cruise (AR29), took place aboard the R/V Neil Armstrong in April 2018, the second cruise (RB1904) on the Ronald H. Brown in May 2019 and the third cruise (TN368) took place on the R/V Thomas G. Thompson cruise in July of 2019. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/807119
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1657803
    Keywords: Temperature ; Salinity ; Fluorescence
    Repository Name: Woods Hole Open Access Server
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  • 81
    Publication Date: 2022-10-31
    Description: Dataset: Sponge Symbiont Carbon and Nutrient Cycling
    Description: This dataset examines microbial symbionts, carbon, and nutrient cycling in Caribbean coral reef sponges collected from Conch Reef, Key Largo, Florida, USA and from Carrie Bow Cay, Belize in June and July 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/876787
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1558580
    Keywords: Porifera ; Sponge-loop ; Dissolved Organic Matter (DOM) ; Particulate Organic Matter ; Detritus
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  • 82
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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: In-situ temperature profiles
    Description: Temperature profiles of hydrothermal sediments measured by HOV Alvin’s heat flow probe in Guaymas Basin hydrothermal vents, RV/Atlantis cruise AT42-05, Nov. 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/878936
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829680
    Keywords: Temperature profiles ; Sediment push cores ; Guaymas Basin
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  • 83
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: Southern California Seeps Stable Isotopes
    Description: This dataset provides C and N stable isotope data for invertebrates collected by ROV from the Western Flyer 0521 (May 2021) at the Del Mar and Santa Monica Seeps and the Falkor 210726 in August 2021 at Lasuen Seep. There are also POC/PON data for one surface and one near bottom water sample collected by CTD. δ13C and δ15N measurements were made on 0.2-4 mg dry-weight samples combusted using an elemental analyzer interfaced to a continuous flow isotope ratio mass spectrometer at the Stable Isotope Facility at the University of California, Davis (SIF-UCD). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/877823
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2048481, NSF Division of Ocean Sciences (NSF OCE) OCE-2048666, NSF Division of Ocean Sciences (NSF OCE) OCE-2048720
    Keywords: Methane seep ; Invertebrate ; And stable isotopes
    Repository Name: Woods Hole Open Access Server
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  • 84
    Publication Date: 2022-10-31
    Description: Dataset: Oregon Tide Pools
    Description: This dataset investigates how foundation species loss alters multiple ecosystem functions. This study was conducted within 32 tidepool communities from the Oregon Department of Fish and Wildlife's (ODFW) Otter Rock Marine Reserve (ORMR) and Marine Garden, Oregon 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/878413
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2044837
    Keywords: Rocky intertidal ; Foundation species ; Ecosystem function ; Tidepool
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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: Acrylate and DMSP Turnover
    Description: Shallow-water coral reefs hold large quantities of acrylate and its precursor dimethylsulfoniopropionate (DMSP). The main sources of acrylate in coral reefs are from the coral algal symbionts in the family Symbiodiniaceae and from the photolysis of dissolved organic matter. Heterotrophic consumption is the main loss for these compounds, albeit these processes are poorly characterized. This dataset contains rate-constant data for the biological consumption of dissolved acrylate and DMSP in near-surface seawater collected from a Mo’orea coral reef, French Polynesia, and the offshore open Pacific Ocean. The coral reef and Pacific Ocean stations were located offshore from the UC Berkeley Gump Research Station. Samples were collected from April 6 to April 24, 2018. Details of the sampling and experimental procedures for this dataset are reported in Xue 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/879158
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756907
    Keywords: Acrylic acid ; DMSO ; DMSP ; Dimethylsulfoxide ; DMS ; Coral ; Symbiodiniaceae
    Repository Name: Woods Hole Open Access Server
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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: Acrylate and DMSP Concentrations
    Description: Shallow-water coral reefs hold large quantities of acrylate and its precursor dimethylsulfoniopropionate (DMSP). The main sources of acrylate in coral reefs are from the coral algal symbionts in the family Symbiodiniaceae and from the photolysis of dissolved organic matter. Heterotrophic consumption is the main loss for these compounds, albeit these processes are poorly characterized. This dataset contains acrylate, DMSP, and dimethylsulfoxide (DMSO) concentrations in dissolved and unfiltered seawater samples that were collected from near-surface seawater in a Mo’orea coral reef, French Polynesia, and the offshore open Pacific Ocean. The coral reef and Pacific Ocean stations were located offshore from the UC Berkeley Gump Research Station. Samples were collected from April 6 to April 24, 2018. Details of the sampling and experimental procedures for this dataset are reported in Xue 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/879142
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756907
    Keywords: Acrylic acid ; DMSO ; DMSP ; Dimethylsulfoxide ; DMS ; Coral ; Symbiodiniaceae
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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: Evolve and re-sequence experiment - wild populations
    Description: This dataset represents data from wild populations of E. affinis. Copepod populations were collected from eight locations in the Baltic Sea using bongo and WP2 nets with 100 μm mesh and stored in RNAlater. Sampling locations spanned a range of mean annual salinities from low (~3 PSU) to higher salinity (~19 PSU). Individual copepods (ranging from 50 to 200 in number) were pooled and their DNA was extracted. Paired-end whole-genome sequencing libraries were prepared using the Illumina Nextera DNA kit (Illumina, Inc.) and sequenced on five lanes of an Illumina HiSeq 4000 sequencer, generating an average of approximately 176 million paired-end (100 bp) reads per pool. These genomic data have been deposited in NCBI under BioProject number PRJNA844002. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/878322
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1658517
    Keywords: Epistasis ; Parallel evolution ; Evolve ; Resequence
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  • 88
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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: Eukaryotic Phytoplankton Flow Cytometry from Salp Grazing Incubations
    Description: This dataset includes eukaryotic phytoplankton flow cytometric results from salp grazing incubations in order to quantify food web flows through contrasting salp-dominated and salp-absent water parcels near the Chatham Rise off western New Zealand where salp blooms are a predictable phenomenon. Sampling was conducted on R/V Tangaroa (cruise TAN1810) during October-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/846664
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756465, NSF Division of Ocean Sciences (NSF OCE) OCE-1756610
    Keywords: Salpa thompsoni ; Salp grazing rates ; Size-specific grazing ; Filter feeding ; Eukaryotic phytoplankton
    Repository Name: Woods Hole Open Access Server
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  • 89
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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: Evolve and re-sequence experiment - laboratory selection lines
    Description: This dataset represents pool-seq data from laboratory selection lines of E. affinis collected from Kiel Canal in Kiel, Germany (latitude = 54° 19' 59.88"N, longitude = 10° 9' 0"W) in 2017 (approximately 1000 copepods) and on May 30, 2018 (85 gravid females and 40 juveniles). Individual copepods (ranging from 50 to 200 in number) were pooled and their DNA was extracted. Paired-end whole-genome sequencing libraries were prepared using the Illumina Nextera DNA kit (Illumina, Inc.) and sequenced on five lanes of an Illumina HiSeq 4000 sequencer, generating an average of approximately 176 million paired-end (100 bp) reads per pool. These data have been deposited in NCBI under BioProject number PRJNA844002. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/878335
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1658517
    Keywords: Epistasis ; Parallel evolution ; Evolve ; Resequence
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  • 90
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-10-31
    Description: Dataset: CTD profiles RV Connecticut June 2022
    Description: Seven stations on the shelf and slope south of Montauk, NY on 14-15 June 2022 were sampled. Basic hydrographic properties, including temperature, salinity, dissolved oxygen, and pH were measured and rosette samples were taken for chlorophyll, nutrients, and microplankton. Water was filtered for metagenomics and metatranscriptomics and picked individual microplankters for sequencing. Three to ten depths were sampled at each station. Our shallowest station was on the shelf at 38m and the deepest was at the slope edge at 2400m. Due to limitations of the CTD our deepest sampled depth was 1150m. At the two shallowest stations, we also deployed a Wetstar fluorometer for phytoplankton fluorescence. The CTD data were processed with SeaBird's Seasoft program and converted to spreadsheet format. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/879380
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1924570, NSF Division of Ocean Sciences (NSF OCE) OCE-1924527
    Keywords: Hydrography ; New England shelf ; Slope ; Ciliate ; Metabarcoding
    Repository Name: Woods Hole Open Access Server
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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: WAP model float data
    Description: Antarctic Peninsula ROMS model Palmer Deep area drifter data For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/867442
    Description: NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1745009, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1744884, NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) OPP-1745011
    Keywords: Antarctic Peninsula ; ROMS ; Model ; Palmer Deep ; Drifter
    Repository Name: Woods Hole Open Access Server
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  • 92
    Publication Date: 2022-10-31
    Description: Dataset: Larvae Density Morphometrics
    Description: The feeding larvae of many echinoids develop long postoral arms relative to body length when food is sparse but relatively short postoral arms when food is abundant, a response thought to adaptively adjust feeding capability. However, in an important recent study, larvae of Dendraster excentricus exhibited this food-conditioned plasticity only when reared at a high density typical of laboratory cultures; when reared at a lower density more representative of larval densities in nature they did not exhibit this plastic response. This suggests that laboratory results cannot be easily extended to make inferences about phenotypic plasticity in nature. We replicated this study and extended it to an even lower larval culture density and to a second species, Lytechinus pictus. Larvae of D. excentricus developed longer arms adjusted for body length when fed the lower of two food rations at all culture densities, though differences were only marginally significant at the lower culture density in one experiment. Larvae of L. pictus tended to develop longer arms adjusted for body length at lower food rations, though differences only approached statistical significance at the highest culture density in one experiment. For both species, contrasts between food rations almost always showed an inverse relationship between postoral arm length and stomach length, consistent with prior work demonstrating trade-offs in investment in these two features characteristic of phenotypic plasticity. The data submitted here were collected in 2021 and 2022 in the laboratory at California State University, Long Beach. Two datafiles are provided: one containing data on actual densities in culture vessels (to check on treatment effectiveness: density_counts.csv), and one containing all the larval morphology data (density_morphometrics.csv). In addition, we provide R code used to produce the analyses in a paper describing this work (Nilsson P, Pernet B. (In press, 2022) Echinoid larvae can express food-conditioned morphological plasticity at ecologically relevant culture densities. Mar Ecol Prog Ser). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/879120
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1756531
    Keywords: Phenotypic plasticity ; Pluteus ; Echinoid ; Culture density
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  • 93
    Publication Date: 2022-10-31
    Description: Dataset: GO-SHIP Line I07N POM Concentrations
    Description: This dataset includes particulate organic matter (POM) concentrations for carbon, nitrogen, and phosphorus. Data are from samples collected from NOAA Ship R/V Ronald H. Brown (cruise EXPOCODE: 33RO20180423), acting under the auspices of the Global Ocean Ship-based Hydrographic Investigations Program (GO-SHIP), I07N GO-SHIP/CO2 Repeat Hydrography Cruise in 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/879076
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1848576
    Keywords: Elemental ratios ; Particulate organic mater ; Elemental stoichiometry
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  • 94
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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: Phytoplankton Orientation - Diatom Stephanopyxis
    Description: Data from experiments on orientation of colonial diatom Stephanopyxis turris in Couette flow using hologram imagery analysis. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/809515
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1657332
    Keywords: Phytoplankton ; Orientation ; Diatom ; Holography ; Stephanopyxis turris
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  • 95
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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: Sample Stations
    Description: Benthic invertebrate communities, that the highly productive US West Coast fishery species and marine mammals rely on for food, are being increasingly impacted by low oxygen conditions. This project addresses the potential ecological consequences of a new member to these benthic communities, the ghost shrimp Neotrypaea. The first three cruises for this project (sampling stations provided herein) were conducted to ground-truth predictions of Neotrypaea’s new offshore distribution with video and sample collections. Samples collected on these cruises will be used to assess whether the species compositions of various areas on the Oregon and Washington shelf are altered by the recruitment of Neotrypaea. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/880760
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-2126112
    Keywords: Benthic invertebrates ; Benthic flux ; Habitat suitability modeling
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  • 96
    Publication Date: 2022-10-31
    Description: Dataset: Galveston Bay Carbonate Chemistry
    Description: These data include carbonate chemistry, nutrient concentration, and dissolved oxygen concentration for discreet water samples collected within Galveston Bay, TX. Eight single day cruises were conducted quarterly aboard the R/V Lithos or R/V Trident from June 2017 through September 2018. In addition, discreet water samples were collected at sites 10 - 60 km outside the mouth of the bay and up to 15m deep to characterize incoming seawater to the bay. These samples were collected on three cruises (WTX1 - R/V Manta, WTX3 - R/V Manta, WTX4 - R/V Pelican) in June, August, and November 2017. Discreet water samples were collected for total alkalinity and dissolved inorganic carbon, dissolved oxygen, and dissolved nutrients. CTD profiles were collected at each sampling site. Stochastic coastal acidification events in response to high volume rainfall and runoff that often accompanies tropical cyclone events has the potential to represent a significant threat to valuable calcifying reef ecosystems. Understanding acidification response and recovery to such events is critical to improving conservation and protection of coastal ecosystems, like oyster and coral reefs, particularly as climate change continues and tropical cyclone rainfall intensity increases. These data assess the impact of the rainfall and runoff from Hurricane Harvey on the acidification levels in Galveston Bay, TX. Samples were collected and analyzed primarily by Tacey Hicks, with assistance from other students in Dr. Katie Shamberger ’s research group, at Texas A&M University. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/881549
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1800913, NSF Division of Ocean Sciences (NSF OCE) OCE-1760381
    Keywords: Galveston Bay ; Hurricane Harvey ; Carbonate chemistry
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  • 97
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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: Results of meta-analysis on CovGE in phenotypic results
    Description: Covariance can exist between the genetic and environmental influences on phenotype (CovGE) and can have an important role in ecological and evolutionary processes in nature and population responses to environmental change. CovGE is commonly called countergradient variation (CnGV; negative CovGE)or cogradient variation (CoGV; positive CovGE)and has been recognized in classic studies that have established several long-standing hypotheses about CnGV and CoGV. For instance, it is hypothesized that CnGV is more prevalent in nature than CoGV, that CnGV is more prevalent in fish, amphibian, and invertebrate taxa, across latitudinal or altitudinal environmental gradients, and more frequently occurs in metabolic compensation traits, including development, growth, feeding, metabolism, and activity, while CoGV is more commonly observed in morphological traits. The recent development of a standardized method to measure CovGE allows for the first rigorous quantitative exploration of these hypotheses. We use meta-analysis and apply the novel quantitative method to test whether the above hypotheses are supported in the literature. We found no differences in frequency of CnGV and CoGV, and no systematic patterns relative to taxa, environmental gradient, or trait type. However, our analyses suggest that CovGE may be as common as gene by environment (GxE) interactions. Given that CovGE is likely to have a strong impact on future outcomes for organisms experiencing environmental change, that significant CovGE occurred frequently, and the lack of systematic patterns in the occurrence of CovGE, we encourage a more widespread application of measuring CovGE. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/877425
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1764316
    Keywords: CovGE ; Phenotypic plasticity ; Countergradient variation ; Cogradient variation
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  • 98
    Publication Date: 2022-10-31
    Description: Dataset: Galveston Bay Carbonate Chemistry
    Description: These data include carbonate chemistry, nutrient concentration, and dissolved oxygen concentration for discreet water samples collected within Galveston Bay, TX. Eight single day cruises were conducted quarterly aboard the R/V Lithos or R/V Trident from June 2017 through September 2018. In addition, discreet water samples were collected at sites 10 - 60 km outside the mouth of the bay and up to 15m deep to characterize incoming seawater to the bay. These samples were collected on three cruises (WTX1 - R/V Manta, WTX3 - R/V Manta, WTX4 - R/V Pelican) in June, August, and November 2017. Discreet water samples were collected for total alkalinity and dissolved inorganic carbon, dissolved oxygen, and dissolved nutrients. CTD profiles were collected at each sampling site. Stochastic coastal acidification events in response to high volume rainfall and runoff that often accompanies tropical cyclone events has the potential to represent a significant threat to valuable calcifying reef ecosystems. Understanding acidification response and recovery to such events is critical to improving conservation and protection of coastal ecosystems, like oyster and coral reefs, particularly as climate change continues and tropical cyclone rainfall intensity increases. These data assess the impact of the rainfall and runoff from Hurricane Harvey on the acidification levels in Galveston Bay, TX. Samples were collected and analyzed primarily by Tacey Hicks, with assistance from other students in Dr. Katie Shamberger ’s research group, at Texas A&M University. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/881549
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1800913, NSF Division of Ocean Sciences (NSF OCE) OCE-1760381
    Keywords: Galveston Bay ; Hurricane Harvey ; Carbonate chemistry
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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: Global Bleaching and Environmental Data
    Description: These data include information on the presence and absence of coral bleaching, allowing comparative analyses and the determination of geographical bleaching thresholds, together with site exposure, distance to land, mean turbidity, cyclone frequency, and a suite of sea-surface temperature metrics at the times of survey. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/773466
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1829393
    Keywords: Coral reefs ; Coral bleaching ; Global dataset
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  • 100
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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: NCBI accession numbers for RNAseq data from five coral species experimentally exposed to SCTLD
    Description: Raw RNA sequence data were obtained from a disease transmission experiment carried out at the University of the Virgin Islands in which five reef-building coral species, Colpophyllia natans, Orbicella annularis, Pseudodiploria strigosa, Porites astreoides, and Montastraea cavernosa, were exposed to Stony Coral Tissue Loss Disease (SCTLD) in mesocosms. Sequences were used to compare the differential expression of host and endosymbiont genes between disease states (control, disease-exposed, and disease-infected) and to elucidate a transcriptomic model of the holobiont response to SCTLD. This dataset includes National Center for Biotechnology Information (NCBI) accession numbers and related data for those five coral species examined in the experiment. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/881776
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1928771
    Keywords: RNAseq ; SCTLD ; Immunity ; Disease ; Stony coral tissue loss disease
    Repository Name: Woods Hole Open Access Server
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