http://lod.bco-dmo.org/id/dataset/765081
eng; USA
utf8
dataset
Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
2019-04-17
ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data
ISO 19115-2:2009(E)
ASPIRE station data used to develop 1-D and 3-D numerical models from the Nathaniel B. Palmer in the Amundsen Sea from 2010-12-14 through 2011-01-05
2019-04-17
publication
2019-04-17
revision
Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA)
2019-04-17
publication
https://doi.org/10.1575/1912/bco-dmo.765081.1
Patricia L. Yager
University of Georgia
principalInvestigator
Robert M. Sherrell
Rutgers University
principalInvestigator
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
publisher
Cite this dataset as: Yager, P., Sherrell, R. (2019) ASPIRE station data used to develop 1-D and 3-D numerical models from the Nathaniel B. Palmer in the Amundsen Sea from 2010-12-14 through 2011-01-05. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2019-04-17 [if applicable, indicate subset used]. doi:10.1575/1912/bco-dmo.765081.1 [access date]
2010-2011 ASPIRE station data used to develop 1-D and 3-D numerical models of Amundsen Sea Dataset Description: <p>Hydrographic profiles and discrete water samples were collected from each station using a conventional shipboard conductivity-temperature-depth (CTD; Sea-Bird 911+) sensor and a 24 × 10 L Niskin bottle rosette sampler (General Oceanics). Potential temperature (θ) and salinity (S) were recorded continuously as a function of depth and at the moment of Niskin bottle closure (see Yager et al., 2016).</p>
<p>Trace-metal samples were collected similarly using a trace-metal-clean CTD-rosette system (see Sherrell et al., 2015) that was deployed at the same location just before or after the conventional CTD.&nbsp;</p> Methods and Sampling: <p>Dissolved inorganic nutrient samples were pre-filtered through 0.45-μm polycarbonate syringe filters, kept refrigerated, and analyzed onboard the ship within 1 day of sampling. Nitrate (NO3−), nitrite (NO2−), am- monium (NH4+), phosphate (HPO42−), and silicic acid (Si(OH)4) were measured using a five-channel Lachat Instruments QuikChem FIA+ 8000s series autoanalyzer in conjunction with a Lachat Instruments XYZ AutoSampler (ASX-500 Series), two Lachat Instruments RP-100 Series peristaltic Reagent Pumps, and Omnion Software, version 3.0.220.02.&nbsp;</p>
<p>Seawater samples were analyzed for dissolved Fe over the period of January to August 2012, using an automated flow injection ICP-MS method developed at Rutgers University (Lagerström et al., 2013). Briefly, the automated device loaded a 9 mL aliquot of seawater, buffered online to pH 7.0 with 3 mL of acetic acid/ammonium hydroxide buffer, onto a column packed with Nobias PA1 chelating resin (Hitachi High-Technologies). The column was eluted with 1.5 M nitric acid directly into the nebulizer of an Element-1 sector field ICP-MS (Thermo-Finnigan, Bremen, Germany). The eluate, a 200-fold concentrate of the sample, was analyzed in medium resolution and temporal peak integration was performed in Matlab using a script written in-house. Quantification was carried out using isotope dilution (Fe, Ni, Cu and Zn) or a matrix-matched external standard curve (Mn).&nbsp;</p>
<p>Samples for particulate organic carbon (POC) and nitrogen (PN) were collected by cleanly filtering 100–600 mL of seawater onto a 25-mm diameter, combusted GF/F filter (nominal pore size of 0.7 μm) which was then folded sample side in and frozen at −80°C. Samples were processed at Rutgers University and analyzed using a Carlo-Erba CHN analyzer (Hedges and Stern, 1984).&nbsp;</p>
<p>Water column Chl a concentration (used as a proxy for algal biomass) was measured onboard ship using acetone extraction and a spectrofluorometer (Alderkamp et al., 2015). Shipboard values were calibrated against a second set of samples collected similarly, flash-frozen in liquid N2, stored at −80°C, and analyzed at Mote Marine Lab using HPLC (Wright et al., 1991; see Alderkamp et al., 2015).</p>
Funding provided by NSF Antarctic Sciences (NSF ANT) Award Number: ANT-0839069 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0839069
Funding provided by NSF Antarctic Sciences (NSF ANT) Award Number: ANT-0944727 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0944727
Funding provided by NSF Antarctic Sciences (NSF ANT) Award Number: ANT-0839012 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0839012
Funding provided by NSF Antarctic Sciences (NSF ANT) Award Number: ANT-0838995 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0838995
Funding provided by NSF Antarctic Sciences (NSF ANT) Award Number: ANT-0838975 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=0838975
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1443657 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1443657
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1443604 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1443604
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1443315 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1443315
Funding provided by NSF Office of Polar Programs (formerly NSF PLR) (NSF OPP) Award Number: OPP-1443569 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1443569
completed
Patricia L. Yager
University of Georgia
706-542-6824
Department of Marine Sciences 166 Marine Sciences Building
Athens
GA
30602-3636
USA
pyager@uga.edu
pointOfContact
Robert M. Sherrell
Rutgers University
848-932-3403
Rutgers Inorganic Analytical Laboratory (RIAL) 71 Dudley Rd
New Brunswick
NJ
08901-8521
USA
sherrell@marine.rutgers.edu
pointOfContact
asNeeded
Dataset Version: 1
Unknown
Station
LocalDate
Depth
Chla
DissFe
TotalDIN
PON
lons
lats
Carlo-Erba CHN analyzer
Sea-Bird 911+
Niskin bottle
Lachat Instruments QuikChem FIA+ 8000s series autoanalyzer
theme
None, User defined
station number
date
depth
chlorophyll a
Iron
Dissolved Inorganic Nitrogen
particulate organic nitrogen
longitude
latitude
featureType
BCO-DMO Standard Parameters
CHN Elemental Analyzer
CTD Sea-Bird SBE 911plus
Niskin bottle
Nutrient Autoanalyzer
instrument
BCO-DMO Standard Instruments
NBP1005
service
Deployment Activity
Amundsen Sea, South Pacific Sector of Antarctica, Southern Ocean 73 S 115 W
place
Locations
otherRestrictions
otherRestrictions
Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use.
Collaborative Research: Investigating the Role of Mesoscale Processes and Ice Dynamics in Carbon and Iron Fluxes in a Changing Amundsen Sea (INSPIRE)
https://osprey.bco-dmo.org/project/713342
Collaborative Research: Investigating the Role of Mesoscale Processes and Ice Dynamics in Carbon and Iron Fluxes in a Changing Amundsen Sea (INSPIRE)
<p>The Amundsen Sea, in the remote Pacific sector of the Southern Ocean, is one of the least well studied Antarctic continental shelf regions. It shares characteristics in common with other Antarctic ice shelf regions, but exhibits unique aspects also. The Amundsen Sea Polynya (ASP), an open region at the base of several of the terminal glaciers draining the West Antarctic Ice sheet exhibits: 1) large intrusions of heat delivered from the warming modified circumpolar deep water (mCDW) rising up onto the continental shelf, 2) the fastest melting ice sheets in Antarctica, 3) the most productive coastal polynya (161 g C m-2) together with a significant atmospheric CO2 sink, and 4) some of the most rapidly declining regions of seasonal off-shore sea ice on Earth.</p>
<p>Following on from an earlier oceanographic field program, the Amundsen Sea Polynya International Research Expedition (ASPIRE; 2011), this study seeks to better synthesize and model the relative contributions of both physical ocean-ice linkages and biological production and carbon export terms and to compare these with other circumpolar Antarctic regions. A central feature will be the use of a regionally coupled physical-biogeochemical model to follow the dynamics of the large phytoplankton blooms that occur annually in the Amundsen Sea Polyna. This study will provides a means to locate the Amundsen Sea properties along the continuum of Antarctic ice shelf systems, and to understand how these system might change in response to climate change.</p>
<p>Pedagogical techniques will be used to provide educational outreach for three distinct target populations: secondary students, pre-service science teachers, and in-service science teachers. Partnerships will be developed with science teacher educators to implement the STEM career-development lessons in undergraduate and graduate level science teacher education courses.</p>
INSPIRE
largerWorkCitation
project
eng; USA
oceans
Amundsen Sea, South Pacific Sector of Antarctica, Southern Ocean 73 S 115 W
-118.03
-112
-73.97
-72.72
2010-12-14
2011-01-05
The study area is the continental shelf of the Amundsen Sea, Antarctica, 71-75S, 100-130W.
0
BCO-DMO catalogue of parameters from ASPIRE station data used to develop 1-D and 3-D numerical models from the Nathaniel B. Palmer in the Amundsen Sea from 2010-12-14 through 2011-01-05
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
http://lod.bco-dmo.org/id/dataset-parameter/765129.rdf
Name: Station
Units: unitless
Description: <p>ASPIRE station identifier</p>
http://lod.bco-dmo.org/id/dataset-parameter/765130.rdf
Name: LocalDate
Units: unitless
Description: <p>Date of ASPIRE sampling in yyyy-mm-dd format</p>
http://lod.bco-dmo.org/id/dataset-parameter/765131.rdf
Name: Depth
Units: meters (m)
Description: <p>Depth of sampling</p>
http://lod.bco-dmo.org/id/dataset-parameter/765132.rdf
Name: Chla
Units: miligram per meter cubed (mg m-3)
Description: <p>Chlorophyll a concentration</p>
http://lod.bco-dmo.org/id/dataset-parameter/765133.rdf
Name: DissFe
Units: milimole per meter cubed (mmol m-3)
Description: <p>Particulate organic nitrogen.</p>
http://lod.bco-dmo.org/id/dataset-parameter/765134.rdf
Name: TotalDIN
Units: milimole per meter cubed (mmol m-3)
Description: <p>Total dissolved inorganic nitrogen</p>
http://lod.bco-dmo.org/id/dataset-parameter/765135.rdf
Name: PON
Units: mmol m-3
Description: <p>Particulate organic nitrogen.</p>
http://lod.bco-dmo.org/id/dataset-parameter/765136.rdf
Name: lons
Units: decimal degrees
Description: <p>longitude with east values positive</p>
http://lod.bco-dmo.org/id/dataset-parameter/765137.rdf
Name: lats
Units: decimal degrees
Description: <p>latitude with north values positive</p>
GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
12504
https://darchive.mblwhoilibrary.org/bitstream/1912/24030/1/dataset-765081_model-building-biogeochemical-data-set-aspire__v1.tsv
download
https://doi.org/10.1575/1912/bco-dmo.765081.1
download
onLine
dataset
<p>Dissolved inorganic nutrient samples were pre-filtered through 0.45-μm polycarbonate syringe filters, kept refrigerated, and analyzed onboard the ship within 1 day of sampling. Nitrate (NO3−), nitrite (NO2−), am- monium (NH4+), phosphate (HPO42−), and silicic acid (Si(OH)4) were measured using a five-channel Lachat Instruments QuikChem FIA+ 8000s series autoanalyzer in conjunction with a Lachat Instruments XYZ AutoSampler (ASX-500 Series), two Lachat Instruments RP-100 Series peristaltic Reagent Pumps, and Omnion Software, version 3.0.220.02.&nbsp;</p>
<p>Seawater samples were analyzed for dissolved Fe over the period of January to August 2012, using an automated flow injection ICP-MS method developed at Rutgers University (Lagerström et al., 2013). Briefly, the automated device loaded a 9 mL aliquot of seawater, buffered online to pH 7.0 with 3 mL of acetic acid/ammonium hydroxide buffer, onto a column packed with Nobias PA1 chelating resin (Hitachi High-Technologies). The column was eluted with 1.5 M nitric acid directly into the nebulizer of an Element-1 sector field ICP-MS (Thermo-Finnigan, Bremen, Germany). The eluate, a 200-fold concentrate of the sample, was analyzed in medium resolution and temporal peak integration was performed in Matlab using a script written in-house. Quantification was carried out using isotope dilution (Fe, Ni, Cu and Zn) or a matrix-matched external standard curve (Mn).&nbsp;</p>
<p>Samples for particulate organic carbon (POC) and nitrogen (PN) were collected by cleanly filtering 100–600 mL of seawater onto a 25-mm diameter, combusted GF/F filter (nominal pore size of 0.7 μm) which was then folded sample side in and frozen at −80°C. Samples were processed at Rutgers University and analyzed using a Carlo-Erba CHN analyzer (Hedges and Stern, 1984).&nbsp;</p>
<p>Water column Chl a concentration (used as a proxy for algal biomass) was measured onboard ship using acetone extraction and a spectrofluorometer (Alderkamp et al., 2015). Shipboard values were calibrated against a second set of samples collected similarly, flash-frozen in liquid N2, stored at −80°C, and analyzed at Mote Marine Lab using HPLC (Wright et al., 1991; see Alderkamp et al., 2015).</p>
Specified by the Principal Investigator(s)
<p>BCO-DMO Processing Notes:<br />
&nbsp;- combined data files on columns LocalDate, Station, and Depth<br />
&nbsp;- appended latitude and longitude coordinates for each station<br />
&nbsp;- sorted data by LocalDate, Station, Depth<br />
&nbsp;- added conventional header with dataset name, PI name, version date</p>
Specified by the Principal Investigator(s)
asNeeded
7.x-1.1
Biological and Chemical Oceanography Data Management Office (BCO-DMO)
Unavailable
508-289-2009
WHOI MS#36
Woods Hole
MA
02543
USA
info@bco-dmo.org
http://www.bco-dmo.org
Monday - Friday 8:00am - 5:00pm
For questions regarding this resource, please contact BCO-DMO via the email address provided.
pointOfContact
Carlo-Erba CHN analyzer
Carlo-Erba CHN analyzer
PI Supplied Instrument Name: Carlo-Erba CHN analyzer PI Supplied Instrument Description:Samples were processed at Rutgers University and analyzed using a Carlo-Erba CHN analyzer (Hedges and Stern, 1984). Instrument Name: CHN Elemental Analyzer Instrument Short Name:CHN_EA Instrument Description: A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples.
Sea-Bird 911+
Sea-Bird 911+
PI Supplied Instrument Name: Sea-Bird 911+ PI Supplied Instrument Description:Hydrographic profiles and discrete water samples were collected from each station using a conventional shipboard conductivity-temperature-depth (CTD; Sea-Bird 911+) sensor. Instrument Name: CTD Sea-Bird SBE 911plus Instrument Short Name:CTD SBE 911plus Instrument Description: The Sea-Bird SBE 911 plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure. The SBE 911 plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9 plus and SBE 11 plus is called a SBE 911 plus. The SBE 9 plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3 plus and SBE 4). The SBE 9 plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0058/
Niskin bottle
Niskin bottle
PI Supplied Instrument Name: Niskin bottle PI Supplied Instrument Description:24 × 10 L Niskin bottle rosette sampler (General Oceanics) Instrument Name: Niskin bottle Instrument Short Name:Niskin bottle Instrument Description: A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends. The bottles can be attached individually on a hydrowire or deployed in 12, 24, or 36 bottle Rosette systems mounted on a frame and combined with a CTD. Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc. Community Standard Description: http://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/
Lachat Instruments QuikChem FIA+ 8000s series autoanalyzer
Lachat Instruments QuikChem FIA+ 8000s series autoanalyzer
PI Supplied Instrument Name: Lachat Instruments QuikChem FIA+ 8000s series autoanalyzer PI Supplied Instrument Description:Nitrate (NO3−), nitrite (NO2−), am- monium (NH4+), phosphate (HPO42−), and silicic acid (Si(OH)4) were measured using a five-channel Lachat Instruments QuikChem FIA+ 8000s series autoanalyzer in conjunction with a Lachat Instruments XYZ AutoSampler (ASX-500 Series) Instrument Name: Nutrient Autoanalyzer Instrument Short Name:Nutrient Autoanalyzer Instrument Description: Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples. Community Standard Description: http://vocab.nerc.ac.uk/collection/L05/current/LAB04/
Cruise: NBP1005
NBP1005
Community Standard Description
International Council for the Exploration of the Sea
RVIB Nathaniel B. Palmer
vessel
NBP1005
Patricia L. Yager
University of Georgia
Community Standard Description
International Council for the Exploration of the Sea
RVIB Nathaniel B. Palmer
vessel