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30 record(s) found

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Dataset Title/Abstract/Map	NSF Award(s)	Date Created	PIs / Scientists	Project Links	Abstract	Geometry
NBP0505 CTD data	0338137	2020-07-17	Wellner, Julia; Anderson, John	Collaborative Research: Controls on Sediment Yields from Tidewater Glaciers from Patagonia to Antarctica	Raw CTD data from expedition NBP0505 collected with the Aanderaa and Seacat CTD systems	["POLYGON((-76 -45.5,-75.2 -45.5,-74.4 -45.5,-73.6 -45.5,-72.8 -45.5,-72 -45.5,-71.2 -45.5,-70.4 -45.5,-69.6 -45.5,-68.8 -45.5,-68 -45.5,-68 -46.43,-68 -47.36,-68 -48.29,-68 -49.22,-68 -50.15,-68 -51.08,-68 -52.01,-68 -52.94,-68 -53.87,-68 -54.8,-68.8 -54.8,-69.6 -54.8,-70.4 -54.8,-71.2 -54.8,-72 -54.8,-72.8 -54.8,-73.6 -54.8,-74.4 -54.8,-75.2 -54.8,-76 -54.8,-76 -53.87,-76 -52.94,-76 -52.01,-76 -51.08,-76 -50.15,-76 -49.22,-76 -48.29,-76 -47.36,-76 -46.43,-76 -45.5))"]
Processed Current Measurement, Pressure and Temperature Data from the Southern Mid-Atlantic Ridge Spreading acquired during R/V Nathaniel B. Palmer expedition NBP1508 (2015)	1235094	2020-07-02	Thurnherr, Andreas	Collaborative Research: Flow, Turbulence and Mixing in Mid-Ocean Ridge Fracture Zone Canyons	This data set was acquired with a Nortek Aquadopp Current Meter during R/V Nathaniel B. Palmer expedition NBP1508 conducted in 2015 (Chief Scientist: Dr. Louis St.Laurent, Investigator: Dr. Andreas Thurnherr). These data files are of NetCDF format and include Current Measurement, Pressure and Temperature data that were processed after acquisition. Data were acquired as part of the project(s): Collaborative Research: Flow, Turbulence and Mixing in Mid-Ocean Ridge Fracture Zone Canyons. Funding was provided by NSF award(s): OCE12-35094.	["POINT(-14.5787 -21.1215)"]
Processed Current Measurement, Pressure, Salinity and Temperature Data from the Southern Mid-Atlantic Ridge Spreading acquired during R/V Nathaniel B. Palmer expedition NBP1508	1235094	2020-07-02	Thurnherr, Andreas	Collaborative Research: Flow, Turbulence and Mixing in Mid-Ocean Ridge Fracture Zone Canyons	This data set was acquired with a McLane Research Laboratories and Inc. MMP Mooring Profiler during R/V Nathaniel B. Palmer expedition NBP1508 conducted in 2015 (Chief Scientist: Dr. Louis St.Laurent, Investigator: Dr. Andreas Thurnherr). These data files are of NetCDF format and include Current Measurement, Pressure, Salinity and Temperature data that were processed after acquisition. Data were acquired as part of the project(s): Collaborative Research: Flow, Turbulence and Mixing in Mid-Ocean Ridge Fracture Zone Canyons. Funding was provided by NSF award(s): OCE12-35094.	["POLYGON((-14.5787 -20.9223,-14.49208 -20.9223,-14.40546 -20.9223,-14.31884 -20.9223,-14.23222 -20.9223,-14.1456 -20.9223,-14.05898 -20.9223,-13.97236 -20.9223,-13.88574 -20.9223,-13.79912 -20.9223,-13.7125 -20.9223,-13.7125 -20.94222,-13.7125 -20.96214,-13.7125 -20.98206,-13.7125 -21.00198,-13.7125 -21.0219,-13.7125 -21.04182,-13.7125 -21.06174,-13.7125 -21.08166,-13.7125 -21.10158,-13.7125 -21.1215,-13.79912 -21.1215,-13.88574 -21.1215,-13.97236 -21.1215,-14.05898 -21.1215,-14.1456 -21.1215,-14.23222 -21.1215,-14.31884 -21.1215,-14.40546 -21.1215,-14.49208 -21.1215,-14.5787 -21.1215,-14.5787 -21.10158,-14.5787 -21.08166,-14.5787 -21.06174,-14.5787 -21.04182,-14.5787 -21.0219,-14.5787 -21.00198,-14.5787 -20.98206,-14.5787 -20.96214,-14.5787 -20.94222,-14.5787 -20.9223))"]
Processed CTD Data from the Larsen Ice Shelf in Antarctica acquired during the Nathaniel B. Palmer expedition NBP1001	0732467 0732651	2020-06-25	Huber, Bruce; Gordon, Arnold	Collaborative Research in IPY: Abrupt Environmental Change in the Larsen Ice Shelf System, a Multidisciplinary Approach -- Cryosphere and Oceans Collaborative Research in IPY: Abrupt Environmental Change in the Larsen Ice Shelf System, a Multidisciplinary Approach - Marine and Quaternary Geosciences	This data set was acquired with a Sea-Bird SBE 9Plus CTD during Nathaniel B. Palmer expedition NBP1001 conducted in 2010 (Chief Scientist: Dr. Eugene Domack; Investigator(s): Dr. Bruce Huber and Dr. Arnold Gordon). These data files are of Matlab Binary format and include Temperature, Current Measurement, and Salinity data and were processed after data collection. Data were acquired as part of the project(s): Collaborative Research in IPY: Abrupt Environmental Change in the LARsen Ice Shelf System, Antarctica (LARISSA), and funding was provided by NSF grant(s): ANT07-32467.	["POLYGON((-68 -60,-66.7 -60,-65.4 -60,-64.1 -60,-62.8 -60,-61.5 -60,-60.2 -60,-58.9 -60,-57.6 -60,-56.3 -60,-55 -60,-55 -60.6,-55 -61.2,-55 -61.8,-55 -62.4,-55 -63,-55 -63.6,-55 -64.2,-55 -64.8,-55 -65.4,-55 -66,-56.3 -66,-57.6 -66,-58.9 -66,-60.2 -66,-61.5 -66,-62.8 -66,-64.1 -66,-65.4 -66,-66.7 -66,-68 -66,-68 -65.4,-68 -64.8,-68 -64.2,-68 -63.6,-68 -63,-68 -62.4,-68 -61.8,-68 -61.2,-68 -60.6,-68 -60))"]
Processed ADCP Sonar and CTD Data from the Maud Rise acquired during the Nathaniel B. Palmer expedition NBP0506	0337159	2020-06-25	McPhee, Miles G.	Collaborative Research: The Maud Rise Nonlinear Equation of State Study (MaudNESS)	This data set was acquired with a ADCP Sonar and CTD during Nathaniel B. Palmer expedition NBP0506 conducted in 2005 (Chief Scientist: Dr. Miles McPhee). These data files are of MATLAB format and include Turbulence, Salinity, and Temperature data that have not been processed. Data were acquired as part of the project(s): Maud rise Non-linear Equation of State Study, and funding was provided by NSF grant(s): ANT03-37159.	["POLYGON((-2 -62,-1 -62,0 -62,1 -62,2 -62,3 -62,4 -62,5 -62,6 -62,7 -62,8 -62,8 -62.42,8 -62.84,8 -63.26,8 -63.68,8 -64.1,8 -64.52,8 -64.94,8 -65.36,8 -65.78,8 -66.2,7 -66.2,6 -66.2,5 -66.2,4 -66.2,3 -66.2,2 -66.2,1 -66.2,0 -66.2,-1 -66.2,-2 -66.2,-2 -65.78,-2 -65.36,-2 -64.94,-2 -64.52,-2 -64.1,-2 -63.68,-2 -63.26,-2 -62.84,-2 -62.42,-2 -62))"]
Processed Temperature, Salinity, and Current Measurement Data from the Amundsen Sea acquired during the Nathaniel B. Palmer expedition NBP0901	0632282	2020-06-25	Huber, Bruce; Jacobs, Stanley	IPY/ASEP - Collaborative International Research: Amundsen Sea Influence on West Antarctic Ice Sheet Stability and Sea Level Rise.	This data set was derived from data acquired during Nathaniel B. Palmer expedition NBP0901 conducted in 2009 (Chief Scientist: Dr. Stan Jacobs; Investigator(s): Dr. Stan Jacobs and Dr. Bruce Huber). These data files are of Matlab Binary format and include Current Measurement, Salinity, and Temperature data and were processed after data collection. Data were acquired as part of the project(s): Collaborative International Research: Amundsen Sea Influence on West Antarctic Ice Sheet Stability and Sea Level Rise, Shedding dynamic light on iron limitation: The interplay of iron limitation and dynamic irradiance conditions in governing the phytoplankton distribution in the Ross Sea, and Collaborative Research: Sampling the ocean - sea ice interaction in the Pacific center of the Antarctic Dipole, and funding was provided by NSF grant(s): OPP06-32282.	["POLYGON((-130 -64,-126.5 -64,-123 -64,-119.5 -64,-116 -64,-112.5 -64,-109 -64,-105.5 -64,-102 -64,-98.5 -64,-95 -64,-95 -65.15,-95 -66.3,-95 -67.45,-95 -68.6,-95 -69.75,-95 -70.9,-95 -72.05,-95 -73.2,-95 -74.35,-95 -75.5,-98.5 -75.5,-102 -75.5,-105.5 -75.5,-109 -75.5,-112.5 -75.5,-116 -75.5,-119.5 -75.5,-123 -75.5,-126.5 -75.5,-130 -75.5,-130 -74.35,-130 -73.2,-130 -72.05,-130 -70.9,-130 -69.75,-130 -68.6,-130 -67.45,-130 -66.3,-130 -65.15,-130 -64))"]
Processed CTD Data from the Larsen Ice Shelf near Antarctica acquired during the Nathaniel B. Palmer expedition NBP1203	1141890 0732651	2020-06-25	Huber, Bruce; Gordon, Arnold	Collaborative Research in IPY: Abrupt Environmental Change in the Larsen Ice Shelf System, a Multidisciplinary Approach -- Cryosphere and Oceans Cape Adare Long Term Moorings (CALM): Analysis Phase	This data set was acquired with a Sea-Bird SBE 9Plus CTD during Nathaniel B. Palmer expedition NBP1203 conducted in 2012 (Chief Scientist: Dr. Maria Vernet; Investigator(s): Dr. Bruce Huber and Dr. Arnold Gordon). These data files are of Matlab Binary format and include Current Measurement, Salinity, and Temperature data and were processed after data collection. Funding was provided by NSF grant(s): ANT11-41890.	["POLYGON((-63 -60,-62.2 -60,-61.4 -60,-60.6 -60,-59.8 -60,-59 -60,-58.2 -60,-57.4 -60,-56.6 -60,-55.8 -60,-55 -60,-55 -60.5,-55 -61,-55 -61.5,-55 -62,-55 -62.5,-55 -63,-55 -63.5,-55 -64,-55 -64.5,-55 -65,-55.8 -65,-56.6 -65,-57.4 -65,-58.2 -65,-59 -65,-59.8 -65,-60.6 -65,-61.4 -65,-62.2 -65,-63 -65,-63 -64.5,-63 -64,-63 -63.5,-63 -63,-63 -62.5,-63 -62,-63 -61.5,-63 -61,-63 -60.5,-63 -60))"]
Biogenic silica concentrations from the Ross Sea	1644073	2019-11-13	Ditullio, Giacomo; Schanke, Nicole	Collaborative Research: Cobalamin and Iron Co-Limitation Of Phytoplankton Species in Terra Nova Bay	Biogenic silica concentrations collected from CTD casts during RVIB Nathaniel B. Palmer cruise in the Ross Sea, Southern Ocean from December 2017-February 2018	["POLYGON((-180 -72.45,-179.354 -72.45,-178.708 -72.45,-178.062 -72.45,-177.416 -72.45,-176.77 -72.45,-176.124 -72.45,-175.478 -72.45,-174.832 -72.45,-174.186 -72.45,-173.54 -72.45,-173.54 -73.068,-173.54 -73.686,-173.54 -74.304,-173.54 -74.922,-173.54 -75.54,-173.54 -76.158,-173.54 -76.776,-173.54 -77.394,-173.54 -78.012,-173.54 -78.63,-174.186 -78.63,-174.832 -78.63,-175.478 -78.63,-176.124 -78.63,-176.77 -78.63,-177.416 -78.63,-178.062 -78.63,-178.708 -78.63,-179.354 -78.63,180 -78.63,179.818 -78.63,179.636 -78.63,179.454 -78.63,179.272 -78.63,179.09 -78.63,178.908 -78.63,178.726 -78.63,178.544 -78.63,178.362 -78.63,178.18 -78.63,178.18 -78.012,178.18 -77.394,178.18 -76.776,178.18 -76.158,178.18 -75.54,178.18 -74.922,178.18 -74.304,178.18 -73.686,178.18 -73.068,178.18 -72.45,178.362 -72.45,178.544 -72.45,178.726 -72.45,178.908 -72.45,179.09 -72.45,179.272 -72.45,179.454 -72.45,179.636 -72.45,179.818 -72.45,-180 -72.45))"]
NBP1704 CTD sensor data	1341606	2019-07-11	Stammerjohn, Sharon	Collaborative Research: Seasonal Sea Ice Production in the Ross Sea, Antarctica	Ocean profile data from a SeaBird SBE 911plus CTD package deployed on the NBP1704 PIPERS cruise in the Ross Sea (Apr 11 to Jun 10, 2017).	["POLYGON((-180 -59.9,-179.53 -59.9,-179.06 -59.9,-178.59 -59.9,-178.12 -59.9,-177.65 -59.9,-177.18 -59.9,-176.71 -59.9,-176.24 -59.9,-175.77 -59.9,-175.3 -59.9,-175.3 -61.68,-175.3 -63.46,-175.3 -65.24,-175.3 -67.02,-175.3 -68.8,-175.3 -70.58,-175.3 -72.36,-175.3 -74.14,-175.3 -75.92,-175.3 -77.7,-175.77 -77.7,-176.24 -77.7,-176.71 -77.7,-177.18 -77.7,-177.65 -77.7,-178.12 -77.7,-178.59 -77.7,-179.06 -77.7,-179.53 -77.7,180 -77.7,178.36 -77.7,176.72 -77.7,175.08 -77.7,173.44 -77.7,171.8 -77.7,170.16 -77.7,168.52 -77.7,166.88 -77.7,165.24 -77.7,163.6 -77.7,163.6 -75.92,163.6 -74.14,163.6 -72.36,163.6 -70.58,163.6 -68.8,163.6 -67.02,163.6 -65.24,163.6 -63.46,163.6 -61.68,163.6 -59.9,165.24 -59.9,166.88 -59.9,168.52 -59.9,170.16 -59.9,171.8 -59.9,173.44 -59.9,175.08 -59.9,176.72 -59.9,178.36 -59.9,-180 -59.9))"]
CTD stations and logs for Araon 2018 ANA08D expedition to Larson C	1822289	2019-04-29	Pan, B. Jack; Vernet, Maria	RAPID: Collaborative Research: Marine Ecosystem Response to the Larsen C Ice-Shelf Breakout: "Time zero"	Marine ecosystems under large ice shelves are thought to contain sparse, low-diversity plankton and seafloor communities due the low supply of food from productive sunlight waters. Past studies have shown sub-ice shelf ecosystems to change in response to altered oceanographic processes resulting from ice-shelve retreat. However, information on community changes and ecosystem structure under ice shelves are limited because sub-ice-shelf ecosystems have either been sampled many years after ice-shelf breakout, or have been sampled through small boreholes, yielding extremely limited spatial information. The recent breakout of the A-68 iceberg from the Larsen C ice shelf in the western Weddell Sea provides an opportunity to use a ship-based study to evaluate benthic communities and water column characteristics in an area recently vacated by a large overlying ice shelf. The opportunity will allow spatial assessments at the time of transition from an under ice-shelf environment to one initially exposed to conditions more typical of a coastal Antarctic marine setting. This RAPID project will help determine the state of a coastal Antarctic ecosystem newly exposed from ice-shelf cover and will aid in understanding of rates of community change during transition. The project will conduct a 10-day field program, allowing contrasts to be made of phytoplankton and seafloor megafaunal communities in areas recently exposed by ice-shelf loss to areas exposed for many decades. The project will be undertaken in a collaborative manner with the South Korean Antarctic Agency, KOPRI, by participating in a cruise in March/May 2018. Combining new information in the area of Larsen C with existing observations after the Larsen A and B ice shelf breakups further to the north, the project is expected to generate a dataset that can elucidate fundamental processes of planktonic and benthic community development in transition from food-poor to food-rich ecosystems. The project will provide field experience to two graduate students, a post-doctoral associate and an undergraduate student. Material from the project will be incorporated into graduate courses and the project will communicate daily work and unfolding events through social media and blogs while they explore this area of the world that is largely underexplored.	["POLYGON((-59.402149 -62.131908,-58.9639887 -62.131908,-58.5258284 -62.131908,-58.0876681 -62.131908,-57.6495078 -62.131908,-57.2113475 -62.131908,-56.7731872 -62.131908,-56.3350269 -62.131908,-55.8968666 -62.131908,-55.4587063 -62.131908,-55.020546 -62.131908,-55.020546 -62.384829,-55.020546 -62.63775,-55.020546 -62.890671,-55.020546 -63.143592,-55.020546 -63.396513,-55.020546 -63.649434,-55.020546 -63.902355,-55.020546 -64.155276,-55.020546 -64.408197,-55.020546 -64.661118,-55.4587063 -64.661118,-55.8968666 -64.661118,-56.3350269 -64.661118,-56.7731872 -64.661118,-57.2113475 -64.661118,-57.6495078 -64.661118,-58.0876681 -64.661118,-58.5258284 -64.661118,-58.9639887 -64.661118,-59.402149 -64.661118,-59.402149 -64.408197,-59.402149 -64.155276,-59.402149 -63.902355,-59.402149 -63.649434,-59.402149 -63.396513,-59.402149 -63.143592,-59.402149 -62.890671,-59.402149 -62.63775,-59.402149 -62.384829,-59.402149 -62.131908))"]
Summer Oceanographic Measurements near the Mertz Polynya NBP0008	9909374 9725024	2019-03-11	Jacobs, Stanley; Mele, Phil; Smethie, W. M.; Mortlock, R. A.	Circumpolar Deep Water and the West Antarctic Ice Sheet Shelf and Bottom Water Formation Near East Antarctic Polynyas and Glaciers	Summer Oceanographic Measurements near the Mertz Polynya (140-150E) on NB Palmer Cruise 00-08. These are processed, high resolution CTD and bottle data files; Standard level listings and station listings and plots.	["POLYGON((140 -65.5,141 -65.5,142 -65.5,143 -65.5,144 -65.5,145 -65.5,146 -65.5,147 -65.5,148 -65.5,149 -65.5,150 -65.5,150 -65.75,150 -66,150 -66.25,150 -66.5,150 -66.75,150 -67,150 -67.25,150 -67.5,150 -67.75,150 -68,149 -68,148 -68,147 -68,146 -68,145 -68,144 -68,143 -68,142 -68,141 -68,140 -68,140 -67.75,140 -67.5,140 -67.25,140 -67,140 -66.75,140 -66.5,140 -66.25,140 -66,140 -65.75,140 -65.5))"]
Log Sheets of coral samples for LMG1509	1245766	2019-03-07	Waller, Rhian	Cold Corals in Hot Water - Investigating the Physiological Responses of Antarctic Coral Larvae to Climate change Stress	Station location information of trawl and CTD stations used for collecting coral samples and water for incubation during expedition NBP1509 in 2015 near the Antarctic Peninsula.	["POLYGON((-66.5 -63,-65.95 -63,-65.4 -63,-64.85 -63,-64.3 -63,-63.75 -63,-63.2 -63,-62.65 -63,-62.1 -63,-61.55 -63,-61 -63,-61 -63.63,-61 -64.26,-61 -64.89,-61 -65.52,-61 -66.15,-61 -66.78,-61 -67.41,-61 -68.04,-61 -68.67,-61 -69.3,-61.55 -69.3,-62.1 -69.3,-62.65 -69.3,-63.2 -69.3,-63.75 -69.3,-64.3 -69.3,-64.85 -69.3,-65.4 -69.3,-65.95 -69.3,-66.5 -69.3,-66.5 -68.67,-66.5 -68.04,-66.5 -67.41,-66.5 -66.78,-66.5 -66.15,-66.5 -65.52,-66.5 -64.89,-66.5 -64.26,-66.5 -63.63,-66.5 -63))"]
AU1402 Final UCTD data	1143833	2018-12-24	Orsi, Alejandro	Collaborative Research: Totten Glacier System and the Marine Record of Cryosphere - Ocean Dynamics	Underway Salinity (Conductivity), Temperature, Depth (Pressure) profiles from AU1402, final, reduced, quality control version. Data are reported as an ascii table suitable for import to Ocean Data View.	["POLYGON((119 -66,119.3 -66,119.6 -66,119.9 -66,120.2 -66,120.5 -66,120.8 -66,121.1 -66,121.4 -66,121.7 -66,122 -66,122 -66.1,122 -66.2,122 -66.3,122 -66.4,122 -66.5,122 -66.6,122 -66.7,122 -66.8,122 -66.9,122 -67,121.7 -67,121.4 -67,121.1 -67,120.8 -67,120.5 -67,120.2 -67,119.9 -67,119.6 -67,119.3 -67,119 -67,119 -66.9,119 -66.8,119 -66.7,119 -66.6,119 -66.5,119 -66.4,119 -66.3,119 -66.2,119 -66.1,119 -66))"]
AU1402 mooring data	1313826	2018-12-24	Orsi, Alejandro	Collaborative Research: Totten Glacier System and the Marine Record of Cryosphere - Ocean Dynamics	An array of three moorings (M1-M3) with current meters, temperature, conductivity, and pressure (TCP) recorders were deployed along the eastern flank of the continental shelf off Sabrina Coast, at the main path of the Antarctic Coastal Current indicated by the uCTD data collected earlier during the cruise. These three US mooring were deployed at the 625-m (M1), 620-m (M2) and 1051-m (M3) isobaths. M1 was recovered on 25 February 2014, with a full data return from all of its instruments; whereas M2 and M3 were recovered in early 2015 on board of the Australian RVI Aurora Australis next year (cruise AU1402). The location and schematics of the mooring array design is described below, and also provided among the uploaded files.	["POLYGON((119 -66,119.3 -66,119.6 -66,119.9 -66,120.2 -66,120.5 -66,120.8 -66,121.1 -66,121.4 -66,121.7 -66,122 -66,122 -66.1,122 -66.2,122 -66.3,122 -66.4,122 -66.5,122 -66.6,122 -66.7,122 -66.8,122 -66.9,122 -67,121.7 -67,121.4 -67,121.1 -67,120.8 -67,120.5 -67,120.2 -67,119.9 -67,119.6 -67,119.3 -67,119 -67,119 -66.9,119 -66.8,119 -66.7,119 -66.6,119 -66.5,119 -66.4,119 -66.3,119 -66.2,119 -66.1,119 -66))"]
NBP1402 Final UCTD data	1143833	2018-12-23	Orsi, Alejandro	Collaborative Research: Totten Glacier System and the Marine Record of Cryosphere - Ocean Dynamics	Underway Salinity (Conductivity), Temperature, Depth (Pressure) profiles from NBP1402, final, reduced, quality control version. Data are reported as an ascii table suitable for import to Ocean Data View.	["POLYGON((117 -64,119.9 -64,122.8 -64,125.7 -64,128.6 -64,131.5 -64,134.4 -64,137.3 -64,140.2 -64,143.1 -64,146 -64,146 -64.4,146 -64.8,146 -65.2,146 -65.6,146 -66,146 -66.4,146 -66.8,146 -67.2,146 -67.6,146 -68,143.1 -68,140.2 -68,137.3 -68,134.4 -68,131.5 -68,128.6 -68,125.7 -68,122.8 -68,119.9 -68,117 -68,117 -67.6,117 -67.2,117 -66.8,117 -66.4,117 -66,117 -65.6,117 -65.2,117 -64.8,117 -64.4,117 -64))"]
CTDP/LADCP profile data along Dotson ice shelf calving front from 2000 to 2016	1644159	2018-07-12	Dutrieux, Pierre; Jacobs, Stanley; Jenkins, Adrian; Stammerjohn, Sharon	No project link provided	Collection of CTD and LADCP summer profile observations in front of Dotson ice shelf, West Antarctica, between 2000 and 2016. The data can also be obtained from the various investigators and data centers, including the British Oceanographic Data Centre, the National Oceanographic Data Center, and the Korean Oceanographic Data Center. This dataset is used in the publication by Jenkins and collaborators in Nature Geoscience, 2018, entitled West Antarctic Ice Sheet retreat in the Amundsen Sea driven by decadal oceanic variability.	["POLYGON((-115 -73.5,-114.5 -73.5,-114 -73.5,-113.5 -73.5,-113 -73.5,-112.5 -73.5,-112 -73.5,-111.5 -73.5,-111 -73.5,-110.5 -73.5,-110 -73.5,-110 -73.6,-110 -73.7,-110 -73.8,-110 -73.9,-110 -74,-110 -74.1,-110 -74.2,-110 -74.3,-110 -74.4,-110 -74.5,-110.5 -74.5,-111 -74.5,-111.5 -74.5,-112 -74.5,-112.5 -74.5,-113 -74.5,-113.5 -74.5,-114 -74.5,-114.5 -74.5,-115 -74.5,-115 -74.4,-115 -74.3,-115 -74.2,-115 -74.1,-115 -74,-115 -73.9,-115 -73.8,-115 -73.7,-115 -73.6,-115 -73.5))"]
NBP1402 Lowered ADCP data	1143834	2017-11-15	Huber, Bruce	Collaborative Research: Totten Glacier System and the Marine Record of Cryosphere - Ocean Dynamics	Lowered Acoustic Doppler Current Profiler (LADCP) data collected concurrently with 15 CTD profiles during NBP1402. The LADCP acquires profiles of water current, expressed as U and V components (E-W and N-S).	["POLYGON((117 -66,119.9 -66,122.8 -66,125.7 -66,128.6 -66,131.5 -66,134.4 -66,137.3 -66,140.2 -66,143.1 -66,146 -66,146 -66.1,146 -66.2,146 -66.3,146 -66.4,146 -66.5,146 -66.6,146 -66.7,146 -66.8,146 -66.9,146 -67,143.1 -67,140.2 -67,137.3 -67,134.4 -67,131.5 -67,128.6 -67,125.7 -67,122.8 -67,119.9 -67,117 -67,117 -66.9,117 -66.8,117 -66.7,117 -66.6,117 -66.5,117 -66.4,117 -66.3,117 -66.2,117 -66.1,117 -66))"]
NBP1402 Final CTD data	1143834	2017-11-10	Huber, Bruce	Collaborative Research: Totten Glacier System and the Marine Record of Cryosphere - Ocean Dynamics	Conductivity, Temperature, Depth (CTD) profiles from NBP1402, final, calibrated version. Data are reported as an ascii table suitable for import to Ocean Data View.	["POLYGON((117 -66,119.9 -66,122.8 -66,125.7 -66,128.6 -66,131.5 -66,134.4 -66,137.3 -66,140.2 -66,143.1 -66,146 -66,146 -66.1,146 -66.2,146 -66.3,146 -66.4,146 -66.5,146 -66.6,146 -66.7,146 -66.8,146 -66.9,146 -67,143.1 -67,140.2 -67,137.3 -67,134.4 -67,131.5 -67,128.6 -67,125.7 -67,122.8 -67,119.9 -67,117 -67,117 -66.9,117 -66.8,117 -66.7,117 -66.6,117 -66.5,117 -66.4,117 -66.3,117 -66.2,117 -66.1,117 -66))"]
Antarctic emerald rockcod have the capacity to compensate for warming when uncoupled from CO2-acidification	1142122	2017-08-07	Todgham, Anne; Miller, Nathan	RUI: Synergistic effects of Ocean Acidification and Warming on Larval Development in Antarctic Fishes	This dataset includes data from the publication Davis et al - Antarctic emerald rockcod have the capacity to compensate for warming when uncoupled from CO2-acidification. Included are data on cardiorespiratory physiology, survival, metabolic rate, metabolic enzyme activity, behavior (scototaxis & activity) and seawater chemistry.	["POLYGON((166 -77.5,166.1 -77.5,166.2 -77.5,166.3 -77.5,166.4 -77.5,166.5 -77.5,166.6 -77.5,166.7 -77.5,166.8 -77.5,166.9 -77.5,167 -77.5,167 -77.55,167 -77.6,167 -77.65,167 -77.7,167 -77.75,167 -77.8,167 -77.85,167 -77.9,167 -77.95,167 -78,166.9 -78,166.8 -78,166.7 -78,166.6 -78,166.5 -78,166.4 -78,166.3 -78,166.2 -78,166.1 -78,166 -78,166 -77.95,166 -77.9,166 -77.85,166 -77.8,166 -77.75,166 -77.7,166 -77.65,166 -77.6,166 -77.55,166 -77.5))"]
Physiological and biochemical measurements on Antarctic dragonfish (Gymnodraco acuticeps) from McMurdo Sound	1142122	2017-06-01	Miller, Nathan; Todgham, Anne; Davis, Brittany; Flynn, Erin	RUI: Synergistic effects of Ocean Acidification and Warming on Larval Development in Antarctic Fishes	This dataset includes data from the publication "Flynn, et al. (2015) - Ocean acidification exerts negative effects under warming conditions in a developing Antarctic fish". Included are data on embryo survival, development, metabolic rate, metabolic enzyme activity (citrate synthase), whole embryo osmolality and seawater chemistry.	["POLYGON((166.163 -76.665,166.2635 -76.665,166.364 -76.665,166.4645 -76.665,166.565 -76.665,166.6655 -76.665,166.766 -76.665,166.8665 -76.665,166.967 -76.665,167.0675 -76.665,167.168 -76.665,167.168 -76.782,167.168 -76.899,167.168 -77.016,167.168 -77.133,167.168 -77.25,167.168 -77.367,167.168 -77.484,167.168 -77.601,167.168 -77.718,167.168 -77.835,167.0675 -77.835,166.967 -77.835,166.8665 -77.835,166.766 -77.835,166.6655 -77.835,166.565 -77.835,166.4645 -77.835,166.364 -77.835,166.2635 -77.835,166.163 -77.835,166.163 -77.718,166.163 -77.601,166.163 -77.484,166.163 -77.367,166.163 -77.25,166.163 -77.133,166.163 -77.016,166.163 -76.899,166.163 -76.782,166.163 -76.665))"]
CTD Data Acquired by R/V Xue Long in the Prydz Bay- Amery Ice Shelf Region, 2015-2017	1443444	2016-05-02	Yuan, Xiaojun	Collaborative Research: Contribution of Prydz Bay Shelf Water to Antarctic Bottom Water Formation	This dataset contains inventories and location maps for CTD data acquired by the icebreaker R/V Xue Long in the Prydz Bay- Amery Ice Shelf region. A total of 68 stations were acquired in February 2015 and 24 stations in March 2017, as part of a joint US/China project to study Antarctic Bottom Water (AABW) formation.	["POLYGON((65.4503 -63.5143,67.2063 -63.5143,68.9623 -63.5143,70.7183 -63.5143,72.4743 -63.5143,74.2303 -63.5143,75.9863 -63.5143,77.7423 -63.5143,79.4983 -63.5143,81.2543 -63.5143,83.0103 -63.5143,83.0103 -64.09423,83.0103 -64.67416,83.0103 -65.25409,83.0103 -65.83402,83.0103 -66.41395,83.0103 -66.99388,83.0103 -67.57381,83.0103 -68.15374,83.0103 -68.73367,83.0103 -69.3136,81.2543 -69.3136,79.4983 -69.3136,77.7423 -69.3136,75.9863 -69.3136,74.2303 -69.3136,72.4743 -69.3136,70.7183 -69.3136,68.9623 -69.3136,67.2063 -69.3136,65.4503 -69.3136,65.4503 -68.73367,65.4503 -68.15374,65.4503 -67.57381,65.4503 -66.99388,65.4503 -66.41395,65.4503 -65.83402,65.4503 -65.25409,65.4503 -64.67416,65.4503 -64.09423,65.4503 -63.5143))"]
Adaptive Responses of Phaeocystis Populations in Antarctic Ecosystems	1142018	2016-01-01	Arrigo, Kevin	Collaborative Research: Adaptive Responses of Phaeocystis Populations in Antarctic Ecosystems	Global climate change is having significant effects on areas of the Southern Ocean, and a better understanding of this ecosystem will permit predictions about the large-scale implications of these shifts. The haptophyte Phaeocystis antarctica is an important component of the phytoplankton communities in this region, but little is known about the factors controlling its distribution. Preliminary data suggest that P. antarctica posses unique adaptations that allow it to thrive in regions with dynamic light regimes. This research will extend these results to identify the physiological and genetic mechanisms that affect the growth and distribution of P. antarctica. This work will use field and laboratory-based studies and a suite of modern molecular techniques to better understand the biogeography and physiology of this key organism. Results will be widely disseminated through publications as well as through presentations at national and international meetings. In addition, raw data will be made available through open-access databases. This project will support the research and training of two graduate students and will foster an established international collaboration with Dutch scientists. Researchers on this project will participate in outreach programs targeting K12 teachers as well as high school students.	["POLYGON((-75.8 -61.08,-74.457 -61.08,-73.114 -61.08,-71.771 -61.08,-70.428 -61.08,-69.085 -61.08,-67.742 -61.08,-66.399 -61.08,-65.056 -61.08,-63.713 -61.08,-62.37 -61.08,-62.37 -61.684,-62.37 -62.288,-62.37 -62.892,-62.37 -63.496,-62.37 -64.1,-62.37 -64.704,-62.37 -65.308,-62.37 -65.912,-62.37 -66.516,-62.37 -67.12,-63.713 -67.12,-65.056 -67.12,-66.399 -67.12,-67.742 -67.12,-69.085 -67.12,-70.428 -67.12,-71.771 -67.12,-73.114 -67.12,-74.457 -67.12,-75.8 -67.12,-75.8 -66.516,-75.8 -65.912,-75.8 -65.308,-75.8 -64.704,-75.8 -64.1,-75.8 -63.496,-75.8 -62.892,-75.8 -62.288,-75.8 -61.684,-75.8 -61.08))"]
Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea	0838937	2014-01-01	Costa, Daniel Paul	Collaborative Research: Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea	Marine mammals of the Southern Ocean have evolved diverse life history patterns and foraging strategies to accommodate extreme fluctuations in the physical and biological environment. In light of ongoing climate change and the dramatic shifts in the extent and persistence of sea ice in the Ross Sea, it is critical to understand how Weddell seals, Leptonychotes weddellii, a key apex predator, select and utilize foraging habitats. Recent advances in satellite-linked animal-borne conductivity, temperature and depth (CTD) tags make it possible to simultaneously collect data on seal locations, their diving patterns, and the temperature and salinity profiles of the water columns they utilize. In other ecosystems, such data have revealed that marine predators selectively forage in areas where currents and fronts serve to locally concentrate prey resources, and that these conditions are required to sustain populations. Weddell seals will be studied in McMurdo Sound and at Terra Nova Bay, Ross Sea and will provide the first new data on Weddell seal winter diving behavior and habitat use in almost two decades. The relationship between an animal's diving behavior and physical habitat has enormous potential to enhance monitoring studies and to provide insight into how changes in ice conditions (due either to warming or the impact of large icebergs, such as B15) might impact individual time budgets and foraging success. The second thrust of this project is to use the profiles obtained from CTD seal tags to model the physical oceanography of this region. Current mathematical models of physical oceanographic processes in the Southern Ocean are directed at better understanding the role that it plays in global climate processes, and the linkages between physical and biological oceanographic processes. However, these efforts are limited by the scarcity of oceanographic data at high latitudes in the winter months; CTD tags deployed on animals will collect data at sufficient spatial and temporal resolution to improve data density. The project will contribute to two IPY endorsed initiatives: MEOP (Marine Mammals as Explorers of the Ocean Pole to Pole) and CAML (Census of Antarctic Marine Life). In addition, the highly visual nature of the data and analysis lends itself to public and educational display and outreach, particularly as they relate to global climate change, and we have collaborations with undergraduate and graduate training programs, the Seymour Marine Discovery Center, and the ARMADA program to foster these broader impacts.	["POLYGON((162 -75,162.7 -75,163.4 -75,164.1 -75,164.8 -75,165.5 -75,166.2 -75,166.9 -75,167.6 -75,168.3 -75,169 -75,169 -75.3,169 -75.6,169 -75.9,169 -76.2,169 -76.5,169 -76.8,169 -77.1,169 -77.4,169 -77.7,169 -78,168.3 -78,167.6 -78,166.9 -78,166.2 -78,165.5 -78,164.8 -78,164.1 -78,163.4 -78,162.7 -78,162 -78,162 -77.7,162 -77.4,162 -77.1,162 -76.8,162 -76.5,162 -76.2,162 -75.9,162 -75.6,162 -75.3,162 -75))"]
Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea	0838892	2013-01-01	Burns, Jennifer	Collaborative Research: Weddell seals as autonomous sensors of the winter oceanography of the Ross Sea	Marine mammals of the Southern Ocean have evolved diverse life history patterns and foraging strategies to accommodate extreme fluctuations in the physical and biological environment. In light of ongoing climate change and the dramatic shifts in the extent and persistence of sea ice in the Ross Sea, it is critical to understand how Weddell seals, Leptonychotes weddellii, a key apex predator, select and utilize foraging habitats. Recent advances in satellite-linked animal-borne conductivity, temperature and depth (CTD) tags make it possible to simultaneously collect data on seal locations, their diving patterns, and the temperature and salinity profiles of the water columns they utilize. In other ecosystems, such data have revealed that marine predators selectively forage in areas where currents and fronts serve to locally concentrate prey resources, and that these conditions are required to sustain populations. Weddell seals will be studied in McMurdo Sound and at Terra Nova Bay, Ross Sea and will provide the first new data on Weddell seal winter diving behavior and habitat use in almost two decades. The relationship between an animal's diving behavior and physical habitat has enormous potential to enhance monitoring studies and to provide insight into how changes in ice conditions (due either to warming or the impact of large icebergs, such as B15) might impact individual time budgets and foraging success. The second thrust of this project is to use the profiles obtained from CTD seal tags to model the physical oceanography of this region. Current mathematical models of physical oceanographic processes in the Southern Ocean are directed at better understanding the role that it plays in global climate processes, and the linkages between physical and biological oceanographic processes. However, these efforts are limited by the scarcity of oceanographic data at high latitudes in the winter months; CTD tags deployed on animals will collect data at sufficient spatial and temporal resolution to improve data density. The project will contribute to two IPY endorsed initiatives: MEOP (Marine Mammals as Explorers of the Ocean Pole to Pole) and CAML (Census of Antarctic Marine Life). In addition, the highly visual nature of the data and analysis lends itself to public and educational display and outreach, particularly as they relate to global climate change, and we have collaborations with undergraduate and graduate training programs, the Seymour Marine Discovery Center, and the ARMADA program to foster these broader impacts.	["POLYGON((162 -75,162.7 -75,163.4 -75,164.1 -75,164.8 -75,165.5 -75,166.2 -75,166.9 -75,167.6 -75,168.3 -75,169 -75,169 -75.3,169 -75.6,169 -75.9,169 -76.2,169 -76.5,169 -76.8,169 -77.1,169 -77.4,169 -77.7,169 -78,168.3 -78,167.6 -78,166.9 -78,166.2 -78,165.5 -78,164.8 -78,164.1 -78,163.4 -78,162.7 -78,162 -78,162 -77.7,162 -77.4,162 -77.1,162 -76.8,162 -76.5,162 -76.2,162 -75.9,162 -75.6,162 -75.3,162 -75))"]
US/Chinese Collaborative Study: Investigation of Bottom Water Formation in Prydz Bay, Antarctica	1043669	2012-01-01	Yuan, Xiaojun	US/Chinese Collaborative Study: Investigation of Bottom Water Formation in Prydz Bay, Antarctica	Processess governing the formation of Antarctic bottom water (AABW) in the Indian Ocean sector of the Southern Ocean remain poorly described. As with AABW formation in more well studied regions of the Antarctic continent, global climate impacts of the source regions of this dense, cold water that help drive the global ocean thermohaline circulation are uncertain. A combination of (annual) continental shelf and slope moorings, seasonal (summer) hydrographic surveys on board the Chinese icebreaker M/V Xuelong, together with synthesis of historic and satellite data will be used to better constrain shelf processes and the atmosphere-ocean-ice interactions in the Prydz Bay region. Despite the seeming remoteness of the study site, changes in the formation rate of AABW could potentially have impact on northern hemisphere climate via effects on the global heat budget and through sea-level rise in the coming decades. The project additionally seeks to promote international collaboration between Chinese and US researchers. The data collected will be broadly disseminated to the oceanographic community through the National Oceanography Data Center and Chinese Arctic and Antarctic Data Center.	["POLYGON((70 -64,71 -64,72 -64,73 -64,74 -64,75 -64,76 -64,77 -64,78 -64,79 -64,80 -64,80 -64.6,80 -65.2,80 -65.8,80 -66.4,80 -67,80 -67.6,80 -68.2,80 -68.8,80 -69.4,80 -70,79 -70,78 -70,77 -70,76 -70,75 -70,74 -70,73 -70,72 -70,71 -70,70 -70,70 -69.4,70 -68.8,70 -68.2,70 -67.6,70 -67,70 -66.4,70 -65.8,70 -65.2,70 -64.6,70 -64))"]
SGER: Foraging Patterns of Elephant Seals in the Vicinity of the WIlkins Ice Shelf	0840375	2010-01-01	Costa, Daniel Paul; Goebel, Michael	SGER: Foraging Patterns of Elephant Seals in the Vicinity of the WIlkins Ice Shelf	Long-lived animals such as elephant seals may endure variation in food resources over large spatial and temporal scales. Understanding how they respond to these fluctuations requires knowledge of how their foraging behavior and habitat utilization varies over time. Advances in satellite-linked data logging have made it possible to correlate the foraging behavior of marine mammals with their physical and chemical environment and provide insight into the mechanisms controlling at-sea movements, foraging behavior and, ultimately, reproductive success of these pelagic predators. In addition, these technological advances enable marine mammals to be used as highly cost-effective platforms from which detailed oceanographic data can be collected on a scale not possible with conventional methods. The project will extend the four-year-time-series collected on the foraging behavior and habitat utilization of southern elephant seal (Mirounga leonina) foraging in the Western Antarctic Peninsula. It also will extend the oceanographic time-series of CTD profiles collected by the elephant seals foraging from the Livingston Island rookery. Seals have been collecting CTD profiles in the vicinity of the Wilkins Ice Shelf (WIS) since 2005. We thus have a 4 year data set that preceding and during the breakup of the WIS that occurred during March 2008. Deployment of additional tags on seals will provide a unique opportunity to collect oceanographic data after the ice shelf has collapsed.	["POLYGON((-64 -60,-63 -60,-62 -60,-61 -60,-60 -60,-59 -60,-58 -60,-57 -60,-56 -60,-55 -60,-54 -60,-54 -60.4,-54 -60.8,-54 -61.2,-54 -61.6,-54 -62,-54 -62.4,-54 -62.8,-54 -63.2,-54 -63.6,-54 -64,-55 -64,-56 -64,-57 -64,-58 -64,-59 -64,-60 -64,-61 -64,-62 -64,-63 -64,-64 -64,-64 -63.6,-64 -63.2,-64 -62.8,-64 -62.4,-64 -62,-64 -61.6,-64 -61.2,-64 -60.8,-64 -60.4,-64 -60))"]
Controls on Climate-Active Gases by Amundsen Sea Ice Biota	0836112	2010-01-01	Smith, Walker O.	Collaborative Research: Controls on climate-active gases by Amundsen Sea ice biota	Convincing evidence now confirms that polar regions are changing rapidly in response to human activities. Changes in sea ice extent and thickness will have profound implications for productivity, food webs and carbon fluxes at high latitudes, since sea ice biota are a significant source of biogenic matter for the ecosystem. While sea ice is often thought to be a barrier to gas exchange between the ocean and the atmosphere, it more likely functions as a source or sink for climate-active gases such as carbon dioxide and ozone-depleting organohalogens, due in part to activities of microbes embedded in the sea ice matrix. This project brings together experienced US and Swedish investigators to examine the controls by sea-ice biota on the production and degradation of key climate-active gases in the Pacific sector of the Southern Ocean. We hypothesize that 1) the physical properties of the sea-ice environment will determine the community structure and activities of the sea ice biota; 2) the productivity, biomass, physiological state and species composition of ice algae will determine the production of specific classes of organic carbon, including organohalogens; 3) heterotrophic co-metabolism within the ice will break down these compounds to some extent, depending on the microbial community structure and productivity, and 4) the sea ice to atmosphere fluxes of CO2 and organohalogens will be inversely related. This project will build close scientific collaborations between US and Swedish researchers and also train young scientists, including members of underrepresented groups. Dissemination of results will include the scientific literature, and public outreach venues including interactions with a PolarTrec teacher.	["POLYGON((-170 -69,-163 -69,-156 -69,-149 -69,-142 -69,-135 -69,-128 -69,-121 -69,-114 -69,-107 -69,-100 -69,-100 -70,-100 -71,-100 -72,-100 -73,-100 -74,-100 -75,-100 -76,-100 -77,-100 -78,-100 -79,-107 -79,-114 -79,-121 -79,-128 -79,-135 -79,-142 -79,-149 -79,-156 -79,-163 -79,-170 -79,-170 -78,-170 -77,-170 -76,-170 -75,-170 -74,-170 -73,-170 -72,-170 -71,-170 -70,-170 -69))"]
What Limits Denitrification and Bacterial Growth in Lake Bonney, Taylor Valley, Antarctica?	0230276	2009-01-01	Ward, Bess	Collaborative Research: What Limits Denitrification and Bacterial Growth in Lake Bonney, Taylor Valley, Antarctica?	Denitrification is the main process by which fixed nitrogen is lost from ecosystems and the regulation of this process may directly affect primary production and carbon cycling over short and long time scales. Previous investigations of the role of bioactive metals in regulating denitrification in bacteria from permanently ice-covered Lake Bonney in the Taylor Valley of East Antarctica indicated that denitrifying bacteria can be negatively affected by metals such as copper, iron, cadmium, lead, chromium, nickel, silver and zinc; and that there is a distinct difference in denitrifying activity between the east and west lobes of the lake. Low iron concentrations were found to exacerbate the potential toxicity of the other metals, while silver has the potential to specifically inhibit denitrification because of its ability to interfere with copper binding in redox proteins, such as nitrite reductase and nitrous oxide reductase. High silver concentrations might prevent the functioning of nitrous oxide reductase in the same way that simple copper limitation does, thereby causing the buildup of nitrous oxide and resulting in a nonfunctional nitrogen cycle. Other factors, such as oxygen concentration, are likely also to affect bacterial activity in Lake Bonney. This project will investigate silver toxicity, general metal toxicity and oxygen concentration to determine their effect on denitrification in the lake by using a suite of 'sentinel' strains of denitrifying bacteria (isolated from the lake) incubated in Lake Bonney water and subjected to various treatments. The physiological responses of these strains to changes in metal and oxygen concentration will be quantified by flow cytometric detection of single cell molecular probes whose sensitivity and interpretation have been optimized for the sentinel strains. Understanding the relationships between metals and denitrification is expected to enhance our understanding of not only Lake Bonney's unusual nitrogen cycle, but more generally, of the potential role of metals in the regulation of microbial nitrogen transformations. The broader impacts of this work include not only a better understanding of regional biogeochemistry and global perspectives on these processes; but also the training of graduate students and a substantial outreach effort for school children.	["POLYGON((162 -77.2,162.16 -77.2,162.32 -77.2,162.48 -77.2,162.64 -77.2,162.8 -77.2,162.96 -77.2,163.12 -77.2,163.28 -77.2,163.44 -77.2,163.6 -77.2,163.6 -77.26,163.6 -77.32,163.6 -77.38,163.6 -77.44,163.6 -77.5,163.6 -77.56,163.6 -77.62,163.6 -77.68,163.6 -77.74,163.6 -77.8,163.44 -77.8,163.28 -77.8,163.12 -77.8,162.96 -77.8,162.8 -77.8,162.64 -77.8,162.48 -77.8,162.32 -77.8,162.16 -77.8,162 -77.8,162 -77.74,162 -77.68,162 -77.62,162 -77.56,162 -77.5,162 -77.44,162 -77.38,162 -77.32,162 -77.26,162 -77.2))"]
Small Grants for Exploratory Research - Oceanographic Research in the Amundsen and Ross Seas	0741380	2009-01-01	Smith, Walker O.	Small Grants for Exploratory Research - Oceanographic Research in the Amundsen and Ross Seas:	The research will examine the relative importance of the physical and chemical controls on phytoplankton dynamics and carbon flux in continental margin regions of the Southern Ocean, and elucidate mechanisms by which plankton populations and carbon export might be altered by climate change. We specifically will address (1) how the phytoplankton on the continental margins of the southern Ocean respond to spatial and temporal changes in temperature, light, iron supply, and carbon dioxide levels, (2) how these factors initiate changes in phytoplankton assemblage structure, and (3) how carbon export and the efficiency of the biological pump are impacted by the biomass and composition of the phytoplankton. Two regions of study (the Amundsen and Ross Seas) will be investigated, one well studied (Ross Sea) and one poorly described (Amundsen Sea). It is hypothesized that each region will have markedly different physical forcing, giving rise to distinct chemical conditions and therefore biological responses. As such, the comparison of the two may give us insights into the mechanisms of how Antarctic continental margins will respond under changing environmental conditions. Broader impacts include participation by an international graduate student from Brazil, outreach via seminars to the general public, collaboration with the teachers-in-residence on the cruise, development of a cruise web site and interactive email exchanges with local middle school students while at sea.	["POLYGON((-160 -65,-154 -65,-148 -65,-142 -65,-136 -65,-130 -65,-124 -65,-118 -65,-112 -65,-106 -65,-100 -65,-100 -66.1,-100 -67.2,-100 -68.3,-100 -69.4,-100 -70.5,-100 -71.6,-100 -72.7,-100 -73.8,-100 -74.9,-100 -76,-106 -76,-112 -76,-118 -76,-124 -76,-130 -76,-136 -76,-142 -76,-148 -76,-154 -76,-160 -76,-160 -74.9,-160 -73.8,-160 -72.7,-160 -71.6,-160 -70.5,-160 -69.4,-160 -68.3,-160 -67.2,-160 -66.1,-160 -65))"]
Interactive Effects of UV Radiation and Vertical Mixing on Phytoplankton and Bacterial Productivity of Ross Sea Phaeocystis Blooms	0127022	2008-01-01	Jeffrey, Wade H.	Collaborative Proposal: Interactive Effects of UV Radiation and Vertical Mixing on Phytoplankton and Bacterial Productivity of Ross See Phaeocystis Blooms	Data from five research cruises from OPP grant entitled "Interactive Effects of UV and Vertical Mixing on Phytoplankton and Bacterial Productivity of Ross Sea Phaeocystis Bloom (OPP0127022). The first two cruises were ships of opportunity cruises in the Pacific Ocean, the first collecting data between Valapariso, Chile and San Diego, CA (October 2002). The second and third cruises combined to provide data in a transect from 70 N to 68 S latitude in the Pacific ocean (August - November 2003). The remaining two cruises were to the Ross Sea, the first in December 2004 - January 2005 and the last from October - November 2005. Data presented include microbial biomass (bacterial direct counts) and chlorophyll a concentrations, bacterial production (as leucine or thymidine incorporation), solar irradiance data, CTD profiles, and one set of under water diffuse attenuation coefficients of for the Ross Sea.	["POLYGON((159.8 -43.3,161.8 -43.3,163.8 -43.3,165.8 -43.3,167.8 -43.3,169.8 -43.3,171.8 -43.3,173.8 -43.3,175.8 -43.3,177.8 -43.3,179.8 -43.3,179.8 -45.65,179.8 -48,179.8 -50.35,179.8 -52.7,179.8 -55.05,179.8 -57.4,179.8 -59.75,179.8 -62.1,179.8 -64.45,179.8 -66.8,177.8 -66.8,175.8 -66.8,173.8 -66.8,171.8 -66.8,169.8 -66.8,167.8 -66.8,165.8 -66.8,163.8 -66.8,161.8 -66.8,159.8 -66.8,159.8 -64.45,159.8 -62.1,159.8 -59.75,159.8 -57.4,159.8 -55.05,159.8 -52.7,159.8 -50.35,159.8 -48,159.8 -45.65,159.8 -43.3))", "POLYGON((167 -74.4,168.36 -74.4,169.72 -74.4,171.08 -74.4,172.44 -74.4,173.8 -74.4,175.16 -74.4,176.52 -74.4,177.88 -74.4,179.24 -74.4,180.6 -74.4,180.6 -74.735,180.6 -75.07,180.6 -75.405,180.6 -75.74,180.6 -76.075,180.6 -76.41,180.6 -76.745,180.6 -77.08,180.6 -77.415,180.6 -77.75,179.24 -77.75,177.88 -77.75,176.52 -77.75,175.16 -77.75,173.8 -77.75,172.44 -77.75,171.08 -77.75,169.72 -77.75,168.36 -77.75,167 -77.75,167 -77.415,167 -77.08,167 -76.745,167 -76.41,167 -76.075,167 -75.74,167 -75.405,167 -75.07,167 -74.735,167 -74.4))"]

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