19:I[42426,["/_next/static/immutable/chunks/1xctgzqre-wsy.js","/_next/static/immutable/chunks/06_-wz6pdtp2b.js","/_next/static/immutable/chunks/30e52g49hg40p.js","/_next/static/immutable/chunks/02yq6tul2z-oh.js","/_next/static/immutable/chunks/10bx_ec2vj7n_.js","/_next/static/immutable/chunks/33bfn03fo8xnt.js","/_next/static/immutable/chunks/0tfjf78scu61b.js","/_next/static/immutable/chunks/31xnvej4n1bi9.js"],"default"] 1a:T13cd,

Sample processing employed a one ligand model utilizing the ProMCC software described in Omanovic et al. 2015. The software provides a 95% confidence interval for uncertainties in the fitted parameter, these uncertainties are presented for samples without a duplicate titration. Samples with duplicate titrations are presented with average values for ligand concentration, logK, and free copper values initially determined by ProMCC. Averaged values for samples with duplicate titrations are presented with a standard deviation.

Dissolved copper concentration values were provided by Claire Till and Saeed Roshan, these values were used in ProMCC for ligand and logK value determinations and provided here for reference.

Quality flags:
The standard Ocean Data View qualifying flags were used (reference all flags at https://www.bodc.ac.uk/data/codes_and_formats/odv_format/):

1: Good Value: Good quality data value that is not part of any identified malfunction and has been verified as consistent with real phenomena during the quality control process. [Used for data with duplicate and with a percent error below 25%]

2: Probably Good Value: Data value that is probably consistent with real phenomena but this is unconfirmed or data value forming part of a malfunction that is considered too small to affect the overall quality of the data object of which it is a part. [Used when samples with duplicates have a percent error above 25%, also used for samples without duplicates]

3: Probably Bad Value: Data value recognized as unusual during quality control that forms part of a feature that is probably inconsistent with real phenomena. [Used when [Cu] was higher than expected]

4: Bad Value: An obviously erroneous data value.

5: Changed Value: Data value adjusted during quality control.

6: Value Below Detection Limit: The level of the measured phenomenon was too small to be quantified by the technique employed to measure it. The accompanying value is the detection limit for the technique or zero if that value is unknown.

7: Value in Excess: The level of the measured phenomenon was too large to be quantified by the technique employed to measure it. The accompanying value is the measurement limit for the technique.

8: Interpolated Value: This value has been derived by interpoloation from other values in the data object.

BCO-DMO Processing:
- modified parameter names to conform with BCO-DMO naming convetions (replaced ' symbol with "prime");
- replaced blanks (missing/no data) with "nd";
- joined to EPZT master events file;
- 23-Sept-2019: Moved data values for sample 10339 that were erroneosly in the BOTTLE columns (Cu_Cu_prime_D_CONC_BOTTLE_95pcnt_CI and Cu_Cu_prime_D_CONC_BOTTLE_95pcnt_CI) to the corresponding FISH columns.

Additional BCO-DMO GEOTRACES Processing:
As was done for the GEOTRACES-NAT data, BCO-DMO added standard US GEOTRACES information, such as the US GEOTRACES event number, to each submitted dataset lacking this information. To accomplish this, BCO-DMO compiled a 'master' dataset composed of the following parameters: cruise_id, EXPOCODE,SECT_ID, STNNBR, CASTNO, GEOTRC_EVENTNO, GEOTRC_SAMPNO, GEOTRC_INSTR, SAMPNO, GF_NO, BTLNBR, BTLNBR_FLAG_W, DATE_START_EVENT, TIME_START_EVENT, ISO_DATETIME_UTC_START_EVENT, EVENT_LAT, EVENT_LON, DEPTH_MIN, DEPTH_MAX, BTL_DATE, BTL_TIME, BTL_ISO_DATETIME_UTC, BTL_LAT, BTL_LON, ODF_CTDPRS, SMDEPTH, FMDEPTH, BTMDEPTH, CTDPRS, CTDDEPTH.

This added information will facilitate subsequent analysis and inter comparison of the datasets.

Bottle parameters in the master file were taken from the GT-C_Bottle and ODF_Bottle datasets. Non-bottle parameters, including those from GeoFish tows, Aerosol sampling, and McLane Pumps, were taken from the TN303 Event Log (version 30 Oct 2014). Where applicable, pump information was taken from the PUMP_Nuts_Sals dataset.

A standardized BCO-DMO method (called "join") was then used to merge the missing parameters to each US GEOTRACES dataset, most often by matching on sample_GEOTRC or on some unique combination of other parameters.

If the master parameters were included in the original data file and the values did not differ from the master file, the original data columns were retained and the names of the parameters were changed from the PI-submitted names to the standardized master names. If there were differences between the PI-supplied parameter values and those in the master file, both columns were retained. If the original data submission included all of the master parameters, no additional columns were added, but parameter names were modified to match the naming conventions of the master file.

See the dataset parameters documentation for a description of which parameters were supplied by the PI and which were added via the join method.

1b:T4de,Bioanalytical Systems (BASi) Mercury drop electrodes are generated by the BASi Controlled Growth Mercury Electrode (CGME) in three modes: DME (Dropping Mercury Electrode) - mercury is allowed to flow freely from the reservoir down the capillary and so the growth of the mercury drop and its lifetime is controlled by gravity. (The optional 100 um capillary is recommended for this mode.) SMDE (Static Mercury Drop Electrode) - the drop size is determined by the length of time for which the fast-response capillary valve is opened, and the drop is dislodged by a drop knocker. The dispense/knock timing is microprocessor-controlled and is typically coordinated with the potential pulse or square-wave waveform. This mode can also used to generate the Hanging Mercury Drop Electrode required for stripping experiments. CGME (Controlled Growth Mercury Electrode) - the mercury drop is grown by a series of pulses that open the capillary valve. The number of pulses, their duration, and their frequency can be varied by PC control, providing great flexibility in both the drop size and its rate of growth. This CGME mode can be used for both polarographic and stripping experiments. http://www.basinc.com/products/ec/cgme.php1c:Tdf7,From the NSF Award Abstract The mission of the International GEOTRACES Program (https://www.geotraces.org/), of which the U.S. chemical oceanography research community is a founding member, is "to identify processes and quantify fluxes that control the distributions of key trace elements and isotopes in the ocean, and to establish the sensitivity of these distributions to changing environmental conditions" (GEOTRACES Science Plan, 2006). In the United States, ocean chemists are currently in the process of organizing a zonal transect in the eastern tropical South Pacific (ETSP) from Peru to Tahiti as the second cruise of the U.S.GEOTRACES Program. This Pacific section includes a large area characterized by high rates of primary production and particle export in the eastern boundary associated with the Peru Upwelling, a large oxygen minimum zone that is a major global sink for fixed nitrogen, and a large hydrothermal plume arising from the East Pacific Rise. This particular section was selected as a result of open planning workshops in 2007 and 2008, with a final recommendation made by the U.S.GEOTRACES Steering Committee in 2009. It is the first part of a two-stage plan that will include a meridional section of the Pacific from Tahiti to Alaska as a subsequent expedition. This award provides funding for management of the U.S.GEOTRACES Pacific campaign to a team of scientists from the University of Southern California, Old Dominion University, and the Woods Hole Oceanographic Institution. The three co-leaders will provide mission leadership, essential support services, and management structure for acquiring the trace elements and isotopes samples listed as core parameters in the International GEOTRACES Science Plan, plus hydrographic and nutrient data needed by participating investigators. With this support from NSF, the management team will (1) plan and coordinate the 52-day Pacific research cruise described above; (2) obtain representative samples for a wide variety of trace metals of interest using conventional CTD/rosette and GEOTRACES Sampling Systems; (3) acquire conventional JGOFS/WOCE-quality hydrographic data (CTD, transmissometer, fluorometer, oxygen sensor, etc) along with discrete samples for salinity, dissolved oxygen (to 1 uM detection limits), plant pigments, redox tracers such as ammonium and nitrite, and dissolved nutrients at micro- and nanomolar levels; (4) ensure that proper QA/QC protocols are followed and reported, as well as fulfilling all GEOTRACES Intercalibration protocols; (5) prepare and deliver all hydrographic-type data to the GEOTRACES Data Center (and US data centers); and (6) coordinate cruise communications between all participating investigators, including preparation of a hydrographic report/publication. Broader Impacts: The project is part of an international collaborative program that has forged strong partnerships in the intercalibration and implementation phases that are unprecedented in chemical oceanography. The science product of these collective missions will enhance our ability to understand how to interpret the chemical composition of the ocean, and interpret how climate change will affect ocean chemistry. Partnerships include contributions to the infrastructure of developing nations with overlapping interests in the study area, in this case Peru. There is a strong educational component to the program, with many Ph.D. students carrying out thesis research within the program. Figure 1. The 2013 GEOTRACES EPZT Cruise Track. [click on the image to view a larger version]1d:T5f1,Description from NSF award abstract: Dissolved iron (Fe), copper (Cu), and cobalt (Co) are essential elements for phytoplankton growth which in turn influences the marine carbon cycle; however, despite this important role, the cycling, distribution, and bioavailability of these bioactive elements remains poorly understood. For example, strong organic ligands influence bioavailability and solubility, but it is unclear how interactions change throughout the water column under variable conditions. Recognizing a need for this data, researchers from the Bermuda Institute of Ocean Sciences, Woods Hole Oceanographic Institution, and Scripps Institute of Oceanography will measure the organic complexation of dissolved Fe, Cu, and Co as well as total dissolved Co concentrations during the 2013 GEOTRACES cruise which will transect the coastal upwelling zone off Peru, an intense oxygen minimum zone, the East Pacific Rise hydrothermal plume, and the oligotrophic waters near Tahiti. This study will result in a significant dataset on the speciation of these bioactive elements throughout the water column which will help assess the relationships between dissolved Fe, Cu, and Co distributions and ligand concentration gradients and will likely reveal large chemical gradients over this dynamic oceanographic region. As regards dissolved Co concentrations, these measurements should provide new insights on the marine biogeochemistry of the element, especially in relation to oxygen minimum zones and hydrothermal plumes.6:["$","$L19",null,{"dataset":{"_id":"740051","description":"

Copper speciation results for dissolved organic copper binding ligand concentrations, stability constants, and free copper for the U.S. GEOTRACES Equatorial Pacific cruise.

\n","problem":"","acquisition":"

Sample bottles were cleaned according to GEOTRACES protocols found in the GEOTRACES cookbook which also provides descriptions for sample collection. After collection samples were frozen, -20 freezer, until thawed for analysis in the lab.

Speciation analysis was carried out using a competitive ligand exchange-adsorptive cathodic stripping voltammetry (CLE-ACSV) described in Bundy et al, 2013, utilizing a 5uM concentration of the competing ligand salicylaldoxime with a 300 second deposition time.

\n","processing":"$1a","bcodmoProcessing":"","title":"Copper speciation results for dissolved organic copper binding ligand concentrations, stability constants, and free copper from the U.S. GEOTRACES Equatorial Pacific cruise (R/V Thomas G. Thompson TN303) from October to December 2013","nickname":"GP16 Copper Speciation","dataUrl":"","currentState":"Final no updates expected","currentStateId":"7","validated":true,"restricted":false,"version":"2","version_date":"2019-09-23T04:00:00.000Z","abstract":"Copper speciation results for dissolved organic copper binding ligand concentrations, stability constants, and free copper from the U.S. GEOTRACES Equatorial Pacific cruise (R/V Thomas G. Thompson TN303) from October to December 2013.","citation":"Barbeau, K. (2021) Copper speciation results for dissolved organic copper binding ligand concentrations, stability constants, and free copper from the U.S. GEOTRACES Equatorial Pacific cruise (R/V Thomas G. Thompson TN303) from October to December 2013. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 2) Version Date 2019-09-23 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.740051.2 [access date]","citationParts":{"identifier":"doi:10.26008/1912/bco-dmo.740051.2","versionDate":"2019-09-23","versionId":"2","year":"2021","title":"Copper speciation results for dissolved organic copper binding ligand concentrations, stability constants, and free copper from the U.S. GEOTRACES Equatorial Pacific cruise (R/V Thomas G. Thompson TN303) from October to December 2013","authors":"Barbeau, K.","publisher":"Biological and Chemical Oceanography Data Management Office (BCO-DMO)."},"doi":"10.26008/1912/bco-dmo.740051.2","release_date":null,"field_dataset_location":"","temporal_extent":{"start":"2013-10-28T04:00:00.000Z","end":"2013-12-17T05:00:00.000Z"},"temporal":{"resolution":"time:unitDay","type":"time:Interval","start":{"value":"1382932800","label":"2013-10-28"},"end":{"value":"1387256400","label":"2013-12-17"}},"spatial_extent":{"shape":"polygon","center":{"latitude":-13.250335,"longitude":-114.7073},"wkt":"POLYGON ((-152.0385 -16.0005, -77.3761 -16.0005, -77.3761 -10.50017, -152.0385 -10.50017, -152.0385 -16.0005))","north":-10.50017,"east":-77.3761,"south":-16.0005,"west":-152.0385},"dataset_type":["Cruise Results"],"keywords":["oceans"],"data_files":[{"id":"902216","title":"copper_speciation_joined.csv","url":"https://datadocs.bco-dmo.org/dataset/740051/file/GwwAJ8vCB7nmDE/copper_speciation_joined.csv","showTableUrl":"https://www.bco-dmo.org/dataset/740051/data/view/902216","description":"Primary data file for dataset ID 740051","filename":"copper_speciation_joined.csv","bytesize":97800,"checksum":{"value":"1cab553c4fc6f77973e6de18f2c30022","Algorithm":{"_id":"190","name":"MD5"}},"mimetype":"text/csv","fileType":{"_id":"192","name":"Comma Separated Values (.csv)"},"isErddap":"","date":"","isPublicDuringEmbargo":false,"primaryDataFile":true,"showTable":true,"restricted":false}],"supplemental_files":[],"roles":[{"role":{"_id":"138","name":"Principal Investigator"},"performedBy":{"_id":"51241","name":"Katherine Barbeau"},"performedAtOrganization":{"_id":"26","name":"University of California-San Diego Scripps"}},{"role":{"_id":"145","name":"BCO-DMO Data Manager"},"performedBy":{"_id":"51498","name":"Shannon Rauch"},"performedAtOrganization":{"_id":"191","name":"Woods Hole Oceanographic Institution"}}],"deployments":[{"_id":"499719","name":"TN303","synonyms":["GP16","GEOTRACES EPZT","GEOTRACES East Pacific Zonal Transect (EPZT)","GT13","325020131025"],"dates":{"start":"2013-10-25T00:00:00.000Z","end":"2013-12-20T00:00:00.000Z"},"platform":{"_id":"54017","name":"R/V Thomas G. Thompson"},"chiefScientists":[{"id":"50800","name":"James W. Moffett","role":"Chief Scientist"},{"id":"50679","name":"Gregory A. Cutter","role":"Co-Chief Scientist"},{"id":"51700","name":"Christopher R. German","role":"Co-Chief Scientist"}]}],"funding":[{"_id":"648143","name":"OCE-1233733","fundingSource":{"_id":"355","name":"NSF Division of Ocean Sciences"},"url":"https://www.nsf.gov/awardsearch/show-award?AWD_ID=1233733"}],"instruments":[{"_id":"740376","name":"BASi Controlled Growth Mercury Electrode","description":"For CLE-AdCSV analyses","type_id":"690","type_name":"BASi Controlled Growth Mercury Electrode","type_desc":"$1b","type_acronym":"BASI CGME"},{"_id":"740378","name":"GeoFish","description":"","type_id":"549","type_name":"GeoFish Towed near-Surface Sampler","type_desc":"The GeoFish towed sampler is a custom designed near surface (2 meters or less) sampling system for the collection of trace metal clean seawater. It consists of a PVC encapsulated lead weighted torpedo and separate PVC depressor vane supporting the intake utilizing all PFA Teflon tubing connected to a deck mounted, air-driven, PFA Teflon dual-diaphragm pump which provides trace-metal clean seawater at up to 3.7L/min. The GeoFish is towed at up to 13kts off to the side of the vessel outside of the ship's wake to avoid possible contamination from the ship's hull. It was developed by Geoffrey Smith and Ken Bruland (University of California, Santa Cruz).","type_acronym":"GeoFish"},{"_id":"740377","name":"GO-FLO Teflon Trace Metal","description":"","type_id":"533","type_name":"GO-FLO Teflon Trace Metal Bottle","type_desc":"GO-FLO Teflon-lined Trace Metal free sampling bottles are used for collecting water samples for trace metal, nutrient and pigment analysis. The GO-FLO sampling bottle is designed specifically to avoid sample contamination at the surface, internal spring contamination, loss of sample on deck (internal seals), and exchange of water from different depths.","type_acronym":"GO-FLO Teflon TM"}],"parameters":[{"_id":"740330","name":"cruise_id","format":"","frictionlessType":"","description":"

Cruise identification

","units":{"_id":"","name":"unitless"},"type":{"_id":"1102","name":"cruise_id","description":"

cruise designation; name

"}},{"_id":"740331","name":"STNNBR","format":"","frictionlessType":"","description":"

Station number; joined from BCO-DMO EPZT master events file

","units":{"_id":"","name":"unitless"},"type":{"_id":"987","name":"station","description":"

Station identifier; a unique number or alphanumeric string designating a general geographic location at which one or more sampling activities may occur.

"}},{"_id":"740332","name":"GEOTRC_SAMPNO","format":"","frictionlessType":"","description":"

Unique GEOTRACES sample number

","units":{"_id":"","name":"unitless"},"type":{"_id":"960","name":"sample","description":"

unique sample identification or number; any combination of alpha numeric characters; precise definition is file dependent

"}},{"_id":"740333","name":"Lat","format":"","frictionlessType":"","description":"

Latitude; provided by PI

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"730","name":"latitude","description":"

latitude, in decimal degrees, North is positive, negative denotes South; Reported in some datasets as degrees, minutes

"}},{"_id":"740334","name":"Lon","format":"","frictionlessType":"","description":"

Longitude; provided by PI

","units":{"_id":"","name":"decimal degrees"},"type":{"_id":"731","name":"longitude","description":"

longitude, in decimal degrees, East is positive, negative denotes West; Reported in some datasets as degrees, minutes

"}},{"_id":"740335","name":"Depth","format":"","frictionlessType":"","description":"

Depth in water column; provided by PI

","units":{"_id":"","name":"meters (m)"},"type":{"_id":"808","name":"depth","description":"

Observation/sample depth below the sea surface. Units often reported as: meters, feet.

\nWhen used in a JGOFS/GLOBEC dataset the depth is a best estimate; usually but not always calculated from pressure; calculated either from CTD pressure using Fofonoff and Millard (1982; UNESCO Tech Paper #44) algorithm adjusted for 1980 equation of state for seawater (EOS80) or simply equivalent to nominal depth as recorded during sampling if CTD pressure was unavailable.

"}},{"_id":"740336","name":"Cu_D_CONC_BOTTLE","format":"","frictionlessType":"","description":"

Dissolved copper from bottle sample

","units":{"_id":"","name":"nanomoles per kilogram (nmol/kg)"},"type":{"_id":"1945","name":"trace_metal_conc","description":"