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Dataset Title:  Particulate multi-element geochemical concentrations, dissolved barium
concentrations and barium-isotopic data collected during the R/V Blue Heron
cruise BH15-11 in Lake Superior during August 2015
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_680091)
Range: longitude = -91.25 to -89.82°E, latitude = 47.0 to 47.33°N, depth = 2.9 to 178.6m, time = 2015-08-26T19:11:00.000Z to 2015-08-27T18:09:00.000Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  sta {
    String bcodmo_name "sta";
    String description "station identifier";
    String long_name "Sta";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.44061626e+9, 1.44069894e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "collection date and time; ISO formatted: yyyy-mm-ddThh:mm:ss.sss [UTC]";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00.000Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 47.0, 47.33;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude; north is positive";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -91.25, -89.82;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude; east is positive";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth_w {
    Float32 _FillValue NaN;
    Float32 actual_range 144.0, 180.0;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of the water; bottom depth";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 2.9, 178.6;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "sample depth";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  sample {
    String bcodmo_name "sample";
    String description "sample identifier";
    String long_name "Sample";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Rosette_Position {
    String bcodmo_name "bottle";
    String description "bottle position on rosette";
    String long_name "Rosette Position";
    String units "unitless";
  }
  CTDTMP {
    Float32 _FillValue NaN;
    Float32 actual_range 3.72, 12.9;
    String bcodmo_name "temperature";
    String description "water temperature";
    String long_name "CTDTMP";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celcius";
  }
  Ba_TD_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 68.5, 71.3;
    String bcodmo_name "Ba";
    String description "total dissolvable barium concentration";
    String long_name "Ba TD CONC BOTTLE";
    String units "nanomoles per liter";
  }
  Ba_TD_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.69, 0.72;
    String bcodmo_name "standard deviation";
    String description "total dissolvable barium concentration standard deviation";
    String long_name "Ba TD CONC BOTTLE Stdev";
    String units "nanomoles per liter";
  }
  Ba_138_TD_DELTA_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 0.207, 0.253;
    String bcodmo_name "Ba";
    String description "total dissolvable barium-isotopic compositions";
    String long_name "Ba 138 TD DELTA BOTTLE";
    String units "per mil relative to NIST SRM 3104a";
  }
  Ba_138_TD_DELTA_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.015, 0.017;
    String bcodmo_name "standard deviation";
    String description "total dissolvable barium-isotopic compositions standard deviation";
    String long_name "Ba 138 TD DELTA BOTTLE Stdev";
    String units "per mil relative to NIST SRM 3104a";
  }
  Al_TP_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 10148.21, 103279.1;
    String bcodmo_name "Al";
    String description "total particulate aluminum concentration";
    String long_name "Al TP CONC BOTTLE";
    String units "picomoles per liter";
  }
  Al_TP_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 261.78, 2357.79;
    String bcodmo_name "standard deviation";
    String description "total particulate aluminum concentration standard deviation";
    String long_name "Al TP CONC BOTTLE Stdev";
    String units "picomoles per liter";
  }
  Ba_TP_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 47.35, 232.46;
    String bcodmo_name "Ba";
    String description "total particulate barium concentration";
    String long_name "Ba TP CONC BOTTLE";
    String units "picomoles per liter";
  }
  Ba_TP_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 1.95, 14.74;
    String bcodmo_name "standard deviation";
    String description "total particulate barium concentration standard deviation";
    String long_name "Ba TP CONC BOTTLE Stdev";
    String units "picomoles per liter";
  }
  Ca_TP_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 784.5, 50296.73;
    String bcodmo_name "Ca";
    String description "total particulate calcium concentration";
    String long_name "Ca TP CONC BOTTLE";
    String units "picomoles per liter";
  }
  Ca_TP_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 44.56, 3123.3;
    String bcodmo_name "standard deviation";
    String description "total particulate calcium concentration standard deviation";
    String long_name "Ca TP CONC BOTTLE Stdev";
    String units "picomoles per liter";
  }
  Cd_TP_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 5.49, 22.78;
    String bcodmo_name "trace_element_conc";
    String description "total particulate cadmium concentration";
    String long_name "Cd TP CONC BOTTLE";
    String units "picomoles per liter";
  }
  Cd_TP_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.97, 3.13;
    String bcodmo_name "standard deviation";
    String description "total particulate cadmium concentration standard deviation";
    String long_name "Cd TP CONC BOTTLE Stdev";
    String units "picomoles per liter";
  }
  Fe_TP_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 6388.0, 57163.74;
    String bcodmo_name "Fe";
    String description "total particulate iron concentration";
    String long_name "Fe TP CONC BOTTLE";
    String units "picomoles per liter";
  }
  Fe_TP_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 255.52, 2778.85;
    String bcodmo_name "standard deviation";
    String description "total particulate iron concentration standard deviation";
    String long_name "Fe TP CONC BOTTLE Stdev";
    String units "picomoles per liter";
  }
  Mn_TP_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 1119.74, 2957.62;
    String bcodmo_name "Mn";
    String description "total particulate manganese concentration";
    String long_name "Mn TP CONC BOTTLE";
    String units "picomoles per liter";
  }
  Mn_TP_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 53.87, 461.24;
    String bcodmo_name "standard deviation";
    String description "total particulate manganese concentration standard deviation";
    String long_name "Mn TP CONC BOTTLE Stdev";
    String units "picomoles per liter";
  }
  P_TP_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 10944.63, 56915.71;
    String bcodmo_name "trace_element_conc";
    String description "total particulate phosphorus concentration";
    String long_name "P TP CONC BOTTLE";
    String units "picomoles per liter";
  }
  P_TP_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 524.34, 2666.65;
    String bcodmo_name "standard deviation";
    String description "total particulate phosphorus concentration standard deviation";
    String long_name "P TP CONC BOTTLE Stdev";
    String units "picomoles per liter";
  }
  Sr_TP_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 16073.34, 86721.95;
    String bcodmo_name "trace_element_conc";
    String description "total particulate strontium concentration";
    String long_name "Sr TP CONC BOTTLE";
    String units "picomoles per liter";
  }
  Sr_TP_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 1430.94, 9649.06;
    String bcodmo_name "standard deviation";
    String description "total particulate strontium concentration standard deviation";
    String long_name "Sr TP CONC BOTTLE Stdev";
    String units "picomoles per liter";
  }
  Ti_TP_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 182.77, 1375.34;
    String bcodmo_name "trace_element_conc";
    String description "total particulate titanium concentration";
    String long_name "Ti TP CONC BOTTLE";
    String units "picomoles per liter";
  }
  Ti_TP_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 36.98, 556.74;
    String bcodmo_name "standard deviation";
    String description "total particulate titanium concentration standard deviation";
    String long_name "Ti TP CONC BOTTLE Stdev";
    String units "picomoles per liter";
  }
  V_TP_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 16.68, 105.76;
    String bcodmo_name "trace_element_conc";
    String description "total particulate vanadium concentration";
    String long_name "V TP CONC BOTTLE";
    String units "picomoles per liter";
  }
  V_TP_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 2.33, 9.44;
    String bcodmo_name "standard deviation";
    String description "total particulate vanadium concentration standard deviation";
    String long_name "V TP CONC BOTTLE Stdev";
    String units "picomoles per liter";
  }
  Y_TP_CONC_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range 3.6, 12.21;
    String bcodmo_name "trace_element_conc";
    String description "total particulate yttrium concentration";
    String long_name "Y TP CONC BOTTLE";
    String units "picomoles per liter";
  }
  Y_TP_CONC_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.17, 0.86;
    String bcodmo_name "standard deviation";
    String description "total particulate yttrium concentration standard deviation";
    String long_name "Y TP CONC BOTTLE Stdev";
    String units "picomoles per liter";
  }
  Ba_138_TP_DELTA_BOTTLE {
    Float32 _FillValue NaN;
    Float32 actual_range -0.214, 0.064;
    String bcodmo_name "Ba";
    String description "total particulate barium-isotopic compositions";
    String long_name "Ba 138 TP DELTA BOTTLE";
    String units "per mil relative to NIST SRM 3104a";
  }
  Ba_138_TP_DELTA_BOTTLE_stdev {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02, 0.053;
    String bcodmo_name "standard deviation";
    String description "total particulate barium-isotopic compositions standard deviation";
    String long_name "Ba 138 TP DELTA BOTTLE Stdev";
    String units "per mil relative to NIST SRM 3104a";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Sampling was performed aboard the RV Blue Heron during cruise BH15-11, which
sailed from Duluth MN to Duluth MN during August 2015. Best-practice metal-
clean protocols were followed to the greatest extent possible before, during,
and after the cruise using only acid-washed sample containers, filters,
labware, etc. Particulate sampling comprised one cast at FWM and two casts at
WM. The first water drawn from each Nisken was used to fill a 20 mL high-
density polyethylene bottle for analysis of total dissolvable barium
concentrations and barium-isotopic compositions; the remaining water (~8 L)
was transferred to 10 L low-density polyethylene cubitainers to be taken below
deck for filtration.
 
Samples were filtered immediately after collection using negative pressure
from a central vacuum line. Each sample was drawn across a polyethersulphone
filter membrane (0.45 \\u03bcm cutoff) from a collapsible cubitainer. Filters
were held in place using acid-cleaned Swinnex filter holders (EMD Millipore)
and connected to the tubing lines with Luer taper fittings; filters were
stored before and after use in sealed polycarbonate petri slide holders and
manipulated using plastic forceps. Filtration proceeded for a minimum of three
hours or until the filters clogged, at which point the filters were removed
from their holders, stored, and the water level recorded; filtered volumes
ranged from 0.5-3 L.
 
Particulate samples were prepared for analysis by leaching in 0.6 M
hydrochloric acid at 80 \\u00b0C for \\u226516 hours. Total dissolvable (i.e.
unfiltered) samples were weighed and acidified with hydrochloric acid to a
concentration of 0.01 M. Samples were left to equilibrate for several months
before any sample processing took place.
 
Following multi-element geochemical analyses\\u2014but before ion-exchange
chromatography\\u2014all samples were dried and spiked with an appropriate
amount of barium double spike to ensure the ratio of spike- to sample-derived
barium was between one and two. Samples were additionally fluxed in a 1:1
mixture of concentrated hydrogen peroxide and nitric acid for \\u226516 hours
at 135 \\u00b0C to oxidize any organic matter in the sample that could
interfere with column chemistry or mass spectrometry.
 
Problem report:  
 Two minor issues to note:  
 - The shallowest particulate samples contained insufficient barium to
perform a precise isotopic measurement. As such, samples from these depths
were \\u2018pooled\\u2019 to yield a depth-integrated value; the depth noted for
these pooled samples reflects the average depth of the pooled sample, weighted
by the fractional contribution to the total (measured) barium present in each
pooled sample. This pooling does not apply to the multi-element geochemical
data as these measurements were performed on separate aliquots.
 
\\- One sample yielded an anomalous total particulate titanium concentration
(002.02.12) and one sample yielded an anomalous total particulate aluminum
concentration (002.02.10); these have been listed as \\u2018nd\\u2019.";
    String awards_0_award_nid "679911";
    String awards_0_award_number "OCE-1430015";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1430015";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Rose Dufour";
    String awards_0_program_manager_nid "679910";
    String awards_1_award_nid "680956";
    String awards_1_award_number "OCE-1443577";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1443577";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Candace O. Major";
    String awards_1_program_manager_nid "51690";
    String cdm_data_type "Other";
    String comment 
"Particulate and dissolved Lake Superior geochemistry 
   PI: T. Horner (WHOI) 
   version: 2017-03-24";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2017-02-02T17:54:40Z";
    String date_modified "2017-11-08T14:25:05Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.680972";
    Float64 Easternmost_Easting -89.82;
    Float64 geospatial_lat_max 47.33;
    Float64 geospatial_lat_min 47.0;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -89.82;
    Float64 geospatial_lon_min -91.25;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 178.6;
    Float64 geospatial_vertical_min 2.9;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2022-08-17T22:34:55Z (local files)
2022-08-17T22:34:55Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_680091.das";
    String infoUrl "https://www.bco-dmo.org/dataset/680091";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_description "For sample collection";
    String instruments_0_dataset_instrument_nid "685862";
    String instruments_0_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.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/";
    String instruments_0_instrument_name "Niskin bottle";
    String instruments_0_instrument_nid "413";
    String instruments_1_acronym "ICP Mass Spec";
    String instruments_1_dataset_instrument_description "Sample leachates were analyzed for their multi-element geochemical compositions";
    String instruments_1_dataset_instrument_nid "685864";
    String instruments_1_description "An ICP Mass Spec is an instrument that passes nebulized samples into an inductively-coupled gas plasma (8-10000 K) where they are atomized and ionized. Ions of specific mass-to-charge ratios are quantified in a quadrupole mass spectrometer.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB15/";
    String instruments_1_instrument_name "Inductively Coupled Plasma Mass Spectrometer";
    String instruments_1_instrument_nid "530";
    String instruments_1_supplied_name "ThermoFisher ELEMENT 2 ICP-MS";
    String instruments_2_acronym "ICP Mass Spec";
    String instruments_2_dataset_instrument_description "Used for Barium-isotopic analyses.";
    String instruments_2_dataset_instrument_nid "685865";
    String instruments_2_description "An ICP Mass Spec is an instrument that passes nebulized samples into an inductively-coupled gas plasma (8-10000 K) where they are atomized and ionized. Ions of specific mass-to-charge ratios are quantified in a quadrupole mass spectrometer.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB15/";
    String instruments_2_instrument_name "Inductively Coupled Plasma Mass Spectrometer";
    String instruments_2_instrument_nid "530";
    String instruments_2_supplied_name "ThermoFisher Neptune multi-collector ICP-MS at the WHOI Plasma Facility";
    String keywords "Al_TP_CONC_BOTTLE, Al_TP_CONC_BOTTLE_stdev, Ba_138_TD_DELTA_BOTTLE, Ba_138_TD_DELTA_BOTTLE_stdev, Ba_138_TP_DELTA_BOTTLE, Ba_138_TP_DELTA_BOTTLE_stdev, Ba_TD_CONC_BOTTLE, Ba_TD_CONC_BOTTLE_stdev, Ba_TP_CONC_BOTTLE, Ba_TP_CONC_BOTTLE_stdev, bco, bco-dmo, biological, bottle, Ca_TP_CONC_BOTTLE, Ca_TP_CONC_BOTTLE_stdev, Cd_TP_CONC_BOTTLE, Cd_TP_CONC_BOTTLE_stdev, chemical, conc, ctdtmp, data, dataset, date, delta, depth, depth_w, deviation, dmo, erddap, Fe_TP_CONC_BOTTLE, Fe_TP_CONC_BOTTLE_stdev, iso, latitude, longitude, management, Mn_TP_CONC_BOTTLE, Mn_TP_CONC_BOTTLE_stdev, oceanography, office, P_TP_CONC_BOTTLE, P_TP_CONC_BOTTLE_stdev, position, preliminary, rosette, Rosette_Position, sample, Sr_TP_CONC_BOTTLE, Sr_TP_CONC_BOTTLE_stdev, sta, standard, standard deviation, stdev, Ti_TP_CONC_BOTTLE, Ti_TP_CONC_BOTTLE_stdev, time, v, V_TP_CONC_BOTTLE, V_TP_CONC_BOTTLE_stdev, Y_TP_CONC_BOTTLE, Y_TP_CONC_BOTTLE_stdev";
    String license "https://www.bco-dmo.org/dataset/680091/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/680091";
    Float64 Northernmost_Northing 47.33;
    String param_mapping "{'680091': {'lat': 'master - latitude', 'depth': 'flag - depth', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/680091/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Tristan J. Horner";
    String people_0_person_nid "680928";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Bristol, UK";
    String people_1_person_name "Helena Pryer";
    String people_1_person_nid "680934";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Minnesota Duluth";
    String people_2_affiliation_acronym "LLO-UMD";
    String people_2_person_name "Richard D. Ricketts";
    String people_2_person_nid "679915";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Nancy Copley";
    String people_3_person_nid "50396";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "Early Career Great Lakes research,Novel Nutrient Paleoproxy";
    String projects_0_acronym "Early Career Great Lakes research";
    String projects_0_description 
"NSF Award Abstract:
This proposal to fund a research training cruise on the University of Minnesota's R/V Blue Heron for early career scientists from the Great Lakes basin. The proposed work will have two goals: 1) teach early career lacustrine scientists how to acquire, plan for, and manage cruises aboard UNOLS ships, possibly having some impact on the long-term decrease in requests for ship time on UNOLS ships in general; and 2) expose members of the Great Lakes scientific community, which has an abysmally low submittal rate of proposals to NSF requesting UNOLS ships, to UNOLS and the academic fleet. This project mirrors the successful Chief Scientist training program that Dr. Claire Reimers at Oregon State University has run on ocean-going ships such as the R/V Wecoma, New Horizon and Endeavor.
Intellectual Merit :
The training cruise envisioned herein will allow early career scientists to collect seed data
and test hypotheses for future proposals to NSF.
Broader Impacts :
This proposal intends to educate the next generation of researchers about the capabilities
of UNOLS. This type of outreach between UNOLS and potential users is not only important for
the broader scientific community, but doubly important for the Great Lakes community which
seems resistant to using assets like the UNOLS fleet.";
    String projects_0_end_date "2016-02";
    String projects_0_geolocation "Great Lakes";
    String projects_0_name "EAGER - Introducing Early Career Scientists to Research on the Great Lakes";
    String projects_0_project_nid "679912";
    String projects_0_start_date "2014-03";
    String projects_1_acronym "Novel Nutrient Paleoproxy";
    String projects_1_description 
"NSF Award Abstract:
Human observations of Earth's climate span only a narrow window of Earth History. Understanding how and why Earth's climate changed before human observations can be overcome through the measurement and interpretation of the chemical composition of marine sediments. Accurate interpretation of these records -- also known as \"proxy\" records, because they stand in for direct measurements of environmental conditions in the past -- first requires that the behavior of the proxy be properly calibrated against direct observations in modern environments. This project will develop a novel proxy for marine nutrient utilization based on a comprehensive characterization of the chemical composition of particulate organic matter in the Southern Ocean. The formation and export of organic matter in the ocean requires nutrients, consumes carbon, and can influence the global air-sea balance of carbon dioxide. New proxies and calibrations offer novel ways of looking at Earth's climate history and can potentially illuminate interactions within marine ecosystems.
The efficiency of the biological carbon pump depends critically on the availability and utilization of marine nutrients, particularly in the Southern Ocean. However, ambiguity in, and disagreement between current nutrient utilization paleoproxies renders reconstruction of past nutrient regimes uncertain. Cadmium -- a known proxy for phosphate -- offers a means to circumvent many of the known limitations of existing nutrient proxies, but requires a full isotopic characterization before its application. In this project, researchers will trace the stable isotopic composition of cadmium recorded in organic matter using multiple collector inductively coupled plasma mass spectrometry. The researchers will make isotopic measurements across numerous surface nutrient regimes in the Southern Ocean, with a focus on three critical geochemical transitions: the formation of organic carbon at the sea surface, its transit and decomposition through the ocean's interior, and its behavior during burial on the sea floor. This sea surface-to-sea floor calibration will thus comprehensively determine the utility and fidelity of a novel nutrient proxy, allowing a more accurate view of how Earth's climate was related to ocean biogeochemistry in the past.";
    String projects_1_end_date "2018-01";
    String projects_1_geolocation "Southern Ocean";
    String projects_1_name "Calibration of a Novel Nutrient Paleoproxy in the Southern Ocean";
    String projects_1_project_nid "680957";
    String projects_1_start_date "2015-02";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 47.0;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary 
"This dataset includes geochemical profiles of water samples collected in
August 2015 at two stations in the western arm of Lake Superior.
 
These data were published in:  
 Tristan J. Horner, Helena V. Pryer, Sune G. Nielsen, Peter W. Crockford,
Julia M. Gauglitz, Boswell A. Wing & Richard D. Ricketts (2017) Pelagic barite
precipitation at micromolar ambient sulfate. Nature Communications 8, Article
number: 1342 (2017) doi:10.1038/s41467-017-01229-5
 
Other relevant files and publications:  
 Horner, T. J., Kinsley, C. W., & Nielsen, S. G. (2015). Barium-isotopic
fractionation in seawater mediated by barite cycling and oceanic circulation.
Earth and Planetary Science Letters, 430, 511-522.";
    String time_coverage_end "2015-08-27T18:09:00.000Z";
    String time_coverage_start "2015-08-26T19:11:00.000Z";
    String title "Particulate multi-element geochemical concentrations, dissolved barium concentrations and barium-isotopic data collected during the R/V Blue Heron cruise BH15-11 in Lake Superior during August 2015";
    String version "1";
    Float64 Westernmost_Easting -91.25;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

Using tabledap to Request Data and Graphs from Tabular Datasets

tabledap lets you request a data subset, a graph, or a map from a tabular dataset (for example, buoy data), via a specially formed URL. tabledap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its selection constraints (external link).

The URL specifies what you want: the dataset, a description of the graph or the subset of the data, and the file type for the response.

Tabledap request URLs must be in the form
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/tabledap/pmelTaoDySst.htmlTable?longitude,latitude,time,station,wmo_platform_code,T_25&time>=2015-05-23T12:00:00Z&time<=2015-05-31T12:00:00Z
Thus, the query is often a comma-separated list of desired variable names, followed by a collection of constraints (e.g., variable<value), each preceded by '&' (which is interpreted as "AND").

For details, see the tabledap Documentation.


 
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