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  • 1
    Publication Date: 2023-01-13
    Keywords: Abundance per volume; Antarctic Peninsula; Date/Time of event; Depth, bottom/max; Depth, top/min; DEPTH, water; Event label; Latitude of event; LMG20010415; LMG20010515; LMG20020415; LMG20020515; Longitude of event; Net; NET; Taxon/taxa; Uniform resource locator/link to reference
    Type: Dataset
    Format: text/tab-separated-values, 40 data points
    Location Call Number Limitation Availability
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  • 2
    Publication Date: 2024-02-17
    Keywords: 320G20110625; 320G20110625-track; Algorithm; CT; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; Distance; extracted from GLOBALVIEW-CO2; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); LATITUDE; LONGITUDE; Partial pressure of carbon dioxide (water) at sea surface temperature (wet air); Pressure, atmospheric, interpolated; Quality flag; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; Underway cruise track measurements; Weatherbird II; xCO2 (air), interpolated
    Type: Dataset
    Format: text/tab-separated-values, 5302 data points
    Location Call Number Limitation Availability
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  • 3
    Publication Date: 2024-02-17
    Keywords: 320G20120508; 320G20120508-track; Algorithm; CT; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; Distance; extracted from GLOBALVIEW-CO2; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); LATITUDE; LONGITUDE; Pressure, atmospheric, interpolated; Quality flag; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; Underway cruise track measurements; Weatherbird II; xCO2 (air), interpolated
    Type: Dataset
    Format: text/tab-separated-values, 4129 data points
    Location Call Number Limitation Availability
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  • 4
    Publication Date: 2024-02-17
    Keywords: 320G20120215; 320G20120215-track; Algorithm; CT; DATE/TIME; Depth, bathymetric, interpolated/gridded; DEPTH, water; Distance; extracted from GLOBALVIEW-CO2; extracted from the 2-Minute Gridded Global Relief Data (ETOPO2); extracted from the NCEP/NCAR 40-Year Reanalysis Project; extracted from the World Ocean Atlas 2005; Fugacity of carbon dioxide (water) at sea surface temperature (wet air); LATITUDE; LONGITUDE; Pressure, atmospheric, interpolated; Quality flag; Recomputed after SOCAT (Pfeil et al., 2013); Salinity; Salinity, interpolated; SOCAT; Surface Ocean CO2 Atlas Project; Temperature, water; Underway cruise track measurements; Weatherbird II; xCO2 (air), interpolated
    Type: Dataset
    Format: text/tab-separated-values, 5303 data points
    Location Call Number Limitation Availability
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  • 5
    Publication Date: 2024-04-25
    Keywords: Glacial Atlantic Ocean Mapping; GLAMAP2000
    Type: Dataset
    Format: application/zip, 277.7 kBytes
    Location Call Number Limitation Availability
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  • 6
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    PANGAEA
    In:  Supplement to: Bakker, Dorothee C E; O'Brien, Kevin M; Pfeil, Benjamin; Currie, Kim I; Kozyr, Alexander; Landa, Camilla S; Lauvset, Siv K; Metzl, Nicolas; Nakaoka, Shin-Ichiro; Nojiri, Yukihiro; Nonaka, Isao; Olsen, Are; Omar, Abdirahman M; Pierrot, Denis; Saito, Shu; Smith, Karl; Sutton, Adrienne; Sullivan, Kevin; Tilbrook, Bronte; Wanninkhof, Rik; Akl, John; Alin, Simone R; Barbero, Leticia; Barrera, Kira E; Beaumont, Laurence; Becker, Meike; Bernard, Christophe; Bott, Randy; Byrne, Robert; Cai, Wei-Jun; Cosca, Catherine E; Cross, Jessica; Daly, Kendra L; Danguy, Théo; De Carlo, Eric Heinen; Dietrich, Colin; Feely, Richard A; Fiedler, Björn; Glockzin, Michael; Gove, Matthew D; Goyet, Catherine; Guillot, Antoine; Hales, Burke; Hartman, Sue E; Herndon, Julian; Hoppema, Mario; Humphreys, Matthew P; Hunt, Christopher W; Huss, Betty; Hydes, David; Ibánhez, J Severino P; Ishii, Masao; Johannessen, Truls; Jones, Steve D; Kitidis, Vassilis; Knorr, Paul O; Körtzinger, Arne; Kosugi, Naohiro; Lee, Charity M; Lefèvre, Nathalie; Lo Monaco, Claire; Liu, Xuewu; Maenner, Stacy M; Manke, Ansley; Manzello, Derek P; Mathis, Jeremy T; Mickett, John; Millero, Frank J; Monacci, Natalie; Monteiro, Pedro; Morell, Julio; Munro, David R; Musielewicz, Sylvia; Neill, Craig; Newberger, Timothy; Newton, Jan; Noakes, Scott; Noh, Jae Hoon; Ohman, Mark; Ólafsdóttir, Sólveig Rósa; Ólafsson, Jón; Osborne, John; Padín, Xose Antonio; Rehder, Gregor; Reimer, Janet J; Robbins, Lisa L; Rutgersson, Anna; Sabine, Christopher L; Salisbury, Joe; Sasano, Daisuke; Schlitzer, Reiner; Schuster, Ute; Send, Uwe; Sieger, Rainer; Skjelvan, Ingunn; Steinhoff, Tobias; Sutherland, Stewart C; Sweeney, Colm; Takahashi, Taro; Telszewski, Maciej; Vandemark, Doug; van Heuven, Steven; Wallace, Douglas WR; Woosley, Ryan J; Wynn, Jonathan G; Yates, Kimberly Kaye (in prep.): Version 5 of the Surface Ocean CO2 Atlas (SOCAT).
    Publication Date: 2024-05-02
    Description: The Surface Ocean CO2 Atlas (SOCAT) is a synthesis activity by the international marine carbon research community (〉100 contributors). SOCAT version 5 has 21.5 million quality-controlled, surface ocean fCO2 (fugacity of carbon dioxide) observations from 1957 to 2017 for the global oceans and coastal seas. Calibrated sensor data are also available. Automation allows annual, public releases. SOCAT data is discoverable, accessible and citable. SOCAT enables quantification of the ocean carbon sink and ocean acidification and evaluation of ocean biogeochemical models. SOCAT, which celebrates its 10th anniversary in 2017, represents a milestone in biogeochemical and climate research and in informing policy.
    Keywords: SOCAT; Surface Ocean CO2 Atlas Project
    Type: Dataset
    Format: application/zip, 823 datasets
    Location Call Number Limitation Availability
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  • 7
    Publication Date: 2022-05-25
    Description: Author Posting. © The Oceanography Society, 2013. This article is posted here by permission of The Oceanography Society for personal use, not for redistribution. The definitive version was published in Oceanography 26, no. 4 (2013): 34–51, doi:10.5670/oceanog.2013.74.
    Description: The 20-year US GLOBEC (Global Ocean Ecosystem Dynamics) program examined zooplankton populations and their predators in four coastal marine ecosystems. Program scientists learned that environmental controls on zooplankton vital rates, especially the timing and magnitude of reproduction, growth, life-cycle progression, and mortality, determine species population dynamics, seasonal and spatial distributions, and abundances. Improved knowledge of spatial-temporal abundance and distribution of individual zooplankton taxa coupled with new information linking higher trophic level predators (salmon, cod, haddock, penguins, seals) to their prey yielded mechanistic descriptions of how climate variation impacts regionally important marine resources. Coupled ecological models driven by improved regional-scale climate scenario models developed during GLOBEC enable forecasts of plausible future conditions in coastal ecosystems, and will aid and inform decision makers and communities as they assess, respond, and adapt to the effects of environmental change. Multi-region synthesis revealed that conditions in winter, before upwelling, or seasonal stratification, or ice melt (depending on region) had significant and important effects that primed the systems for greater zooplankton population abundance and productivity the following spring-summer, with effects that propagated to higher trophic levels.
    Description: For support in the preparation of this manuscript, HPB and WTP acknowledge OCE-0816358; KLD acknowledges OPP-9910610, OPP-0196489, and OCE-0814405; CSD and RJ acknowledge NA17RJ1223 and OCE-0815838; MDO acknowledges the California Current Ecosystem LTER site; and JAR acknowledges OCE-1235920.
    Repository Name: Woods Hole Open Access Server
    Type: Article
    Format: application/vnd.ms-excel
    Format: application/pdf
    Location Call Number Limitation Availability
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  • 8
    Publication Date: 2022-05-26
    Description: Author Posting. © The Author(s), 2013. This is the author's version of the work. It is posted here by permission of Elsevier for personal use, not for redistribution. The definitive version was published in Progress in Oceanography 122 (2014): 10-29, doi:10.1016/j.pocean.2013.11.007.
    Description: The productivity and linkages in the food web of the southern region of the west Antarctic Peninsula continental shelf were investigated using a multi-trophic level mass balance model. Data collected during the Southern Ocean Global Ocean Ecosystem Dynamics field program were combined with data from the literature on the abundance and diet composition of zooplankton, fish, seabirds and marine mammals to calculate energy flows in the food web and to infer the overall food web structure at the annual level. Sensitivity analyses investigated the effects of variability in growth and biomass of Antarctic krill (Euphausia superba) and in the biomass of Antarctic krill predators on the structure and energy fluxes in the food web. Scenario simulations provided insights into the potential responses of the food web to a reduced contribution of large phytoplankton (diatom) production to total primary production, and to reduced consumption of primary production by Antarctic krill and mesozooplankton coincident with increased consumption by microzooplankton and salps. Model-derived estimates of primary production were 187 – 207 g C m-2 y-1, which are consistent with observed values (47-351 g C m-2 y-1). Simulations showed that Antarctic krill provide the majority of energy needed to sustain seabird and marine mammal production, thereby exerting a bottom-up control on higher trophic level predators. Energy transfer to top predators via mesozooplanton was a less efficient pathway, and salps were a production loss pathway because little of the primary production they consumed was passed to higher trophic levels. Increased predominance of small phytoplankton (nanoflagellates and cryptophytes) reduced the production of Antarctic krill and of its predators, including seabirds and seals.
    Description: Support for T. Ballerini and E. Hofmann was provided by NSF grant OCE-0814584, for D. Ainley by ANT-0944411 and OCE-0814406, for C. Ribic by OCE-0814406. K. Daly and M. Marrari were supported by NSF grant OCE-0814405.
    Keywords: Antarctic krill ; Climate change ; Donor-controlled model ; Food web ; Mass balance model ; Southern Ocean
    Repository Name: Woods Hole Open Access Server
    Type: Preprint
    Format: application/pdf
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  • 9
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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: McMurdo Sound acoustic backscatter krill and silverfish
    Description: Acoustic echosounder data were collected as part of an ecosystem study in McMurdo Sound, which is located at the southern extent of the Ross Sea in the Southern Ocean. The major goal of this multi-disciplinary project was to assess the influence of top−down forcing (predation) on pelagic zooplankton and fish. Stations were located along the fast ice edge, and along three transects into the fast ice along the eastern side of McMurdo Sound (Ross Island), in the middle of the Sound, and on the western side of the Sound. Krill and fish were sampled between 17 November 2014 – 1 January 2015, both acoustically and visually beneath the fast ice using the tethered SCINI ROV, which was deployed and operated through a 25 cm diameter hole drilled through the sea ice. SCINI contained cameras and thrusters, and towed a sensor package consisting of a WET Labs fluorometer (ECO-AFL/FL) and a single-beam Biosonics 120 kHz DT-X echosounder. Visual targets were identified to the lowest taxon possible; these observations were used primarily to verify classification of acoustic signals. The echosounder operated at a nominal ping rate of 1 ping s-1; however, this rate was occasionally adjusted if false bottom signals were observed. The general profile of a dive included a surface transect of ~300 m horizontal distance, where the acoustic transducer faced downward, and also a dive to ~120 m if conditions allowed. Echogram data were saved to a depth of 500 m, and background noise was removed. Given the effective range of the transducer of approximately 100 m (resolving -80 dB targets), surveys characterized the upper 200 m of the water column.Raw acoustic data were analyzed using Echoview software (version 5.3). All acoustic aggregations greater than 4 pings in width were manually delineated, and acoustic energy of the aggregations was integrated into bins of six seconds wide by 1 m in depth. These aggregations were classified as potentially krill or silverfish, based upon ROV visual identification of the targets or, where no visual targets were encountered, by comparing the aggregation target strength, shape, density, and texture and depth to a set of aggregations with positive visual classification. Data are provided for every 10 m depth by six second acoustic bin, for each site, with only classified krill or silverfish backscatter in the bins. Zero data is also reported, to allow estimation of density parameters. Acoustic returns are presented as integrated acoustic energy (volume backscatter strength [Sv], in units of dB re m-1). For a complete list of measurements, refer to the supplemental document 'Field_names.pdf', and a full dataset description is included in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: http://www.bco-dmo.org/dataset/715715
    Description: NSF Division of Polar Programs (NSF PLR) PLR-0944747, NSF Division of Polar Programs (NSF PLR) PLR-0944511, NSF Division of Polar Programs (NSF PLR) PLR-0944694
    Keywords: Acoustic Backscatter ; Krill ; Silverfish ; Echosounder ; McMurdo Sound ; SCINI ROV
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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  • 10
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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: McMurdo Sound CTDs
    Description: CTD data were collected as part of an ecosystem study in McMurdo Sound, which is located at the southern extent of the Ross Sea in the Southern Ocean. The major goal of this multi-disciplinary project was to assess the influence of top−down forcing (predation) on pelagic zooplankton and fish. During the first year (3 November 2012 – 21 January 2013), the CTD was deployed through ice core holes in the fast ice (sea ice attached to land), sampling from near surface to depths between 97 and 175 m. Stations were located along a transect in the middle of McMurdo Sound, perpendicular to the fast ice edge. In the second year (17 November 2014 – 1 January 2015), CTD casts were deployed between 100 and 254 m in depth, at stations along the fast ice edge, and along three transects into the fast ice along the eastern side of McMurdo Sound (Ross Island), in the middle of the Sound, and on the western side of the Sound. Chlorophyll fluorescence sensor measurements on the CTD casts were only made during the 2014/2015 field expedition. For a complete list of measurements, refer to the supplemental document 'Field_names.pdf', and a full dataset description is included in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: http://www.bco-dmo.org/dataset/680929
    Description: NSF Division of Polar Programs (NSF PLR) PLR-0944511
    Keywords: Temperature ; Salinity ; PH ; Chlorophyll fluorescence ; Southern Ocean
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Limitation Availability
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