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Dataset Title:  Trace-metals from CTD casts and underway water samples collected during the R/
V Hugh R. Sharp cruise HRS1414 in the Mid and South-Atlantic Bight in August of
2014 (DANCE project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_734324)
Range: longitude = -74.4656 to -71.1548°E, latitude = 33.628 to 38.6456°N, depth = 10.0 to 201.6m
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 {
  sample_source {
    String bcodmo_name "sample_descrip";
    String description "Source of sample water (CTD or UNDERWAY).  UNDERWAY samples were collected by a trace-metal clean towfish system (Sedwick et al., 2011)";
    String long_name "Sample Source";
    String units "unitless";
  }
  Sample_ID {
    String bcodmo_name "sample";
    String description "U​nique identifier for each water sample";
    String long_name "Sample ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Station {
    Byte _FillValue 127;
    Byte actual_range 2, 13;
    String bcodmo_name "station";
    String description "DANCE cruise station number";
    String long_name "Station";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 10.0, 201.6;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Sample collection depth (below surface)";
    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";
  }
  Date {
    String bcodmo_name "date";
    String description "Local date (EST) of collection in format yyyy-mm-dd";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "Date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  time2 {
    String bcodmo_name "time";
    String description "Local time (EST) of collection of sample/data in format HH:MM";
    String long_name "Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 33.628, 38.6456;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of water sample, if source is CTD then this latitude is the start of the CTD cast";
    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 -74.4656, -71.1548;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of water sample, if source is CTD then this longitude is the start of the CTD cast";
    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";
  }
  Dfe {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1, 3.0;
    String bcodmo_name "Fe";
    String description "Dissolved iron concentration";
    String long_name "Dfe";
    String units "nanomoles per liter (nmol/L)";
  }
  DFe_flag {
    Byte _FillValue 127;
    Byte actual_range 2, 3;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String description "Dissolved iron data quality flag. 2 (good), 3 (contamination suspected)";
    String long_name "DFe Flag";
    String units "unitless";
  }
  NO3_NO2 {
    String bcodmo_name "NO3_NO2";
    String description "Dissolved nitrate plus nitrite concentration";
    String long_name "NO3 NO2";
    String units "micromoles per liter (umol/L)";
  }
  PO4 {
    String bcodmo_name "PO4";
    String description "Dissolved phosphate concentration";
    String long_name "PO4";
    String units "micromoles per liter (umol/L)";
  }
  NH4 {
    String bcodmo_name "Ammonium";
    String description "Dissolved ammonium concentration";
    String long_name "NH4";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "nanomoles per liter (nmol/L)";
  }
  Temp {
    Float32 _FillValue NaN;
    Float32 actual_range 17.416, 28.101;
    String bcodmo_name "temperature";
    String description "Temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius (°C)";
  }
  Salinity {
    Float32 _FillValue NaN;
    Float32 actual_range 35.625, 36.585;
    String bcodmo_name "sal";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity";
    String long_name "Sea Water Practical Salinity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "Practical salinity units (PSU)";
  }
  Fluor {
    Float32 _FillValue NaN;
    Float32 actual_range -0.14, 0.231;
    String bcodmo_name "fluorescence";
    String description "Chlorophyll fluorescence";
    String long_name "Fluor";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
    String units "volt";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"[The following methodology applies where dataset parameter \"sample_source\" is
\"UNDERWAY\"]
 
Near-surface sample collection: Near-surface (~4 m depth) seawater was
collected whilst underway at ~5 knots using a trace-metal clean towfish system
[Sedwick et al., 2011]. The subsamples for analysis of DFe, NO3+NO2, PO4 were
taken directly from the towfish line, after filtration through a 0.8/0.2
\\u00b5m AcroPak Supor filter capsule (Pall), in acid-cleaned 125 mL low-
density polyethylene bottles (Nalgene) for shore-based DFe determinations, and
60 mL polypropylene tubes (Falcon) for shipboard NO3+NO2, PO4 and NH4
analyses.
 
Near-surface underway measurements: Continuous underway measurements of near-
surface seawater temperature, salinity and chlorophyll fluorescence were made
using the ship's underway seawater supply, which is pumed from a water depth
of ~1m. The data presented correspond to the approximate times when subsamples
were collected from the towfish seawater outlet for measurements of dissolved
iron and macronutrients (see above).
 
DFe: Filtered seawater samples were acidified at-sea to pH ~1.8 with Fisher
Optima grade ultrapure hydrochloric acid, and then stored at room temperature
until post-cruise analysis at Old Dominion University. Dissolved iron was
determined by flow injection analysis with colorimetric detection after in-
line preconcentration on resin-immobilized 8-hydroxyquinoline (Sedwick et al.,
2015), using a method modified from Measures et al. (1995). Analyses were
performed on a volumetric basis, so concentrations are reported in units of
nanomole liter-1 (nM). Analytical precision is estimated from multiple
(separate-day) determinations of the SAFe seawater reference materials, which
yield uncertainties (expressed as one relative standard deviation on the mean,
or one sigma) of ~15% at the concentration level of SAFe S seawater (0.090
nM), and ~10% at the concentration level of SAFe D2 seawater (0.90 nM). The
analytical limit of detection is estimated as the DFe concentration equivalent
to a peak area that is three times the standard deviation on the zero-loading
blank (manifold blank), which yields an estimated detection limit below 0.04
nM (Bowie et al., 2004). Blank contributions from the ammonium acetate sample
buffer solution (added on-line during analysis) and hydrochloric acid (added
after collection) are negligible.\\t
 
NO3+NO2: Dissolved nitrate and nitrite was determined at sea using an Astoria
Pacific nutrient autoanalyzer using standard colorimetric methods with an
estimated detection limit of 0.14 \\u00b5M (Parsons et al., 1984; Price and
Harrison, 1987). In surface waters, nitrate and nitrite were determined using
the same autoanalyzer equipped with a liquid waveguide capillary cell (World
Precision Instruments) (Zhang, 2000) to achieve an estimated detection limit
of 0.02 \\u00b5M.
 
PO4: Dissolved phosphate was determined at sea using an Astoria Pacific
nutrient autoanalyzer using standard colorimetric methods with an estimated
detection limit of 0.03 \\u00b5M (Parsons et al., 1984; Price and Harrison,
1987).\\t\\t
 
NH4: Dissolved ammonium was determined at sea using the manual
orthophthaldialdehyde method (Holmes et al., 1999), with an estimated
detection limit of 10 nM.\\t\\t
 
Temperature: Underway temperature was measured using a conductivity-
temperature-depth sensor (SBE 45, SeaBird Electronics).\\t
 
Salinity: Underway salinity was calculated from in-situ conductivity, as
measured using a conductivity-temperature-depth (CTD) sensor (SBE 45, SeaBird
Electronics).\\t
 
Fluorescence: Underway chlorophyll fluorescence was measured using a Turner
AU10 fluorometer.
 
[The following methodology applies where dataset parameter \"sample_source\" is
\"CTD\"]
 
Water column sample collection and in-situ measurements: Water-column samples
for analysis of dissolved iron, nitrate plus nitrite, phosphate and ammonium,
and continuous profiles of temperature, salinity and chlorophyll fluorescence
were collected using a trace-metal clean conductivity-temperature-depth sensor
(SBE 19 plus, SeaBird Electronics) mounted on a custom-built trace-metal clean
carousel (SeaBird Electronics) fitted with custom-modified 5-L Teflon-lined
external-closure Niskin-X samplers (General Oceanics), deployed on a Kevlar
line. Upon recovery, the Niskin-X samplers were transferred into a shipboard
Class-100 clean laboratory, where seawater was filtered through pre-cleaned
0.2-\\u00b5m pore AcroPak Supor filter capsules (Pall) into acid-cleaned 125 mL
low-density polyethylene bottles (Nalgene) for shore-based dissolved iron
determinations, and 60 mL polypropylene tubes (Falcon) for shipboard nutrient
analyses.
 
DFe: Filtered seawater samples were acidified at-sea to pH ~1.8 with Fisher
Optima grade ultrapure hydrochloric acid, and then stored at room temperature
until post-cruise analysis at Old Dominion University. Dissolved iron was
determined by flow injection analysis with colorimetric detection after in-
line preconcentration on resin-immobilized 8-hydroxyquinoline (Sedwick et al.,
2015), using a method modified from Measures et al. (1995). Analyses were
performed on a volumetric basis, so concentrations are reported in units of
nanomole liter-1 (nM). Analytical precision is estimated from multiple
(separate-day) determinations of the SAFe seawater reference materials, which
yield uncertainties (expressed as one relative standard deviation on the mean,
or one sigma) of ~15% at the concentration level of SAFe S seawater (0.090
nM), and ~10% at the concentration level of SAFe D2 seawater (0.90 nM). The
analytical limit of detection is estimated as the DFe concentration equivalent
to a peak area that is three times the standard deviation on the zero-loading
blank (manifold blank), which yields an estimated detection limit below 0.04
nM (Bowie et al., 2004). Blank contributions from the ammonium acetate sample
buffer solution (added on-line during analysis) and hydrochloric acid (added
after collection) are negligible.\\t
 
NO3+NO2: Dissolved nitrate and nitrite was determined at sea using an Astoria
Pacific nutrient autoanalyzer using standard colorimetric methods with an
estimated detection limit of 0.14 \\u00b5M (Parsons et al., 1984; Price and
Harrison, 1987). In surface waters, nitrate and nitrite were determined using
the same autoanalyzer equipped with a liquid waveguide capillary cell (World
Precision Instruments) (Zhang, 2000) to achieve an estimated detection limit
of 0.02 \\u00b5M.
 
PO4: Dissolved phosphate was determined at sea using an Astoria Pacific
nutrient autoanalyzer using standard colorimetric methods with an estimated
detection limit of 0.03 \\u00b5M (Parsons et al., 1984; Price and Harrison,
1987).\\t\\t
 
NH4: Dissolved ammonium was determined at sea using the manual
orthophthaldialdehyde method (Holmes et al., 1999), with an estimated
detection limit of 10 nM.\\t\\t
 
Temperature: In-situ temperature was measured using a conductivity-
temperature-depth sensor (SBE 19 plus, SeaBird Electronics).\\t
 
Salinity: Salinity was calculated from in-situ conductivity, as measured using
a conductivity-temperature-depth (CTD) sensor (SBE 19 plus, SeaBird
Electronics).\\t
 
Fluorescence: In-situ chlorophyll fluorescence was measured using a WET Labs
ECO-FL(RT)D deep chlorophyll fluorometer with 125 \\u03bcg L-1 range mounted on
the CTD rosette.";
    String awards_0_award_nid "726327";
    String awards_0_award_number "OCE-1260574";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1260574";
    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 "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String awards_1_award_nid "726333";
    String awards_1_award_number "OCE-1260454";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1260454";
    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 "Henrietta N Edmonds";
    String awards_1_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"Trace-metals from CTD casts and underway samples 
  PI: Peter Sedwick 
  Data version 1: 2018-04-25";
    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 "2018-04-24T21:04:59Z";
    String date_modified "2019-08-16T14:54:22Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.734324.1";
    Float64 Easternmost_Easting -71.1548;
    Float64 geospatial_lat_max 38.6456;
    Float64 geospatial_lat_min 33.628;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -71.1548;
    Float64 geospatial_lon_min -74.4656;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 201.6;
    Float64 geospatial_vertical_min 10.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2020-08-09T18:08:07Z (local files)
2020-08-09T18:08:07Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_734324.das";
    String infoUrl "https://www.bco-dmo.org/dataset/734324";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD Sea-Bird";
    String instruments_0_dataset_instrument_description "SBE 45, SeaBird Electronics: CTD sensor (temperature and conductivity)";
    String instruments_0_dataset_instrument_nid "734435";
    String instruments_0_description "Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_0_instrument_name "CTD Sea-Bird";
    String instruments_0_instrument_nid "447";
    String instruments_0_supplied_name "SBE 45, SeaBird Electronics";
    String instruments_1_acronym "CTD Sea-Bird";
    String instruments_1_dataset_instrument_description "SBE 19 plus, SeaBird Electronics, calibrated by calibrated by SeaBird Electronics: CTD sensor (temperature and conductivity)";
    String instruments_1_dataset_instrument_nid "734437";
    String instruments_1_description "Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_1_instrument_name "CTD Sea-Bird";
    String instruments_1_instrument_nid "447";
    String instruments_1_supplied_name "SBE 19 plus";
    String instruments_2_acronym "Fluorometer";
    String instruments_2_dataset_instrument_description "WET Labs ECO-FL(RT)D deep chlorophyll fluorometer, calibrated by SeaBird Electronics: in-situ chlorophyll fluorescence";
    String instruments_2_dataset_instrument_nid "734439";
    String instruments_2_description "A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_2_instrument_name "Fluorometer";
    String instruments_2_instrument_nid "484";
    String instruments_2_supplied_name ": WET Labs ECO-FL(RT)D deep chlorophyll fluorometer";
    String instruments_3_acronym "Fluorometer";
    String instruments_3_dataset_instrument_description "Spectrofluorophotometer: NH4";
    String instruments_3_dataset_instrument_nid "734441";
    String instruments_3_description "A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_3_instrument_name "Fluorometer";
    String instruments_3_instrument_nid "484";
    String instruments_3_supplied_name "Shimadzu RF1501 (Spectrofluorophotometer)";
    String instruments_4_acronym "Fluorometer";
    String instruments_4_dataset_instrument_description "Fluorometer: in-situ chlorophyll fluorescence";
    String instruments_4_dataset_instrument_nid "734438";
    String instruments_4_description "A fluorometer or fluorimeter is a device used to measure parameters of fluorescence: its intensity and wavelength distribution of emission spectrum after excitation by a certain spectrum of light. The instrument is designed to measure the amount of stimulated electromagnetic radiation produced by pulses of electromagnetic radiation emitted into a water sample or in situ.";
    String instruments_4_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_4_instrument_name "Fluorometer";
    String instruments_4_instrument_nid "484";
    String instruments_4_supplied_name "Turner AU10 fluorometer";
    String instruments_5_acronym "Nutrient Autoanalyzer";
    String instruments_5_dataset_instrument_description "Macronutrient analysis: NO3+NO2, PO4";
    String instruments_5_dataset_instrument_nid "734440";
    String instruments_5_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.";
    String instruments_5_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_5_instrument_name "Nutrient Autoanalyzer";
    String instruments_5_instrument_nid "558";
    String instruments_5_supplied_name "Astoria Pacific nutrient autoanalyzer";
    String instruments_6_acronym "UV Spectrophotometer-Shimadzu";
    String instruments_6_dataset_instrument_description "UV-visible spectrophotometric detector:  DFe";
    String instruments_6_dataset_instrument_nid "734434";
    String instruments_6_description "The Shimadzu UV Spectrophotometer is manufactured by Shimadzu Scientific Instruments (ssi.shimadzu.com). Shimadzu manufacturers several models of spectrophotometer; refer to dataset for make/model information.";
    String instruments_6_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB20/";
    String instruments_6_instrument_name "UV Spectrophotometer-Shimadzu";
    String instruments_6_instrument_nid "595";
    String instruments_6_supplied_name "Shimadzu SPD-10AV";
    String keywords "ammonium, bco, bco-dmo, biological, chemical, data, dataset, date, density, depth, dfe, DFe_flag, dmo, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, flag, fluor, latitude, longitude, management, nh4, nitrate, nitrite, no2, no3, NO3_NO2, ocean, oceanography, oceans, office, phosphate, po4, practical, preliminary, salinity, sample, Sample_ID, sample_source, science, sea, sea_water_practical_salinity, seawater, source, station, Temp, temperature, time, time2, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/734324/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/734324";
    Float64 Northernmost_Northing 38.6456;
    String param_mapping "{'734324': {'Latitude': 'flag - latitude', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/734324/parameters";
    String people_0_affiliation "Old Dominion University";
    String people_0_affiliation_acronym "ODU";
    String people_0_person_name "Peter N. Sedwick";
    String people_0_person_nid "51056";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Old Dominion University";
    String people_1_affiliation_acronym "ODU";
    String people_1_person_name "Dr Margaret Mulholland";
    String people_1_person_nid "51386";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Pennsylvania State University";
    String people_2_affiliation_acronym "PSU";
    String people_2_person_name "Dr Raymond Najjar";
    String people_2_person_nid "50813";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Old Dominion University";
    String people_3_affiliation_acronym "ODU";
    String people_3_person_name "Peter N. Sedwick";
    String people_3_person_nid "51056";
    String people_3_role "Contact";
    String people_3_role_type "related";
    String people_4_affiliation "Woods Hole Oceanographic Institution";
    String people_4_affiliation_acronym "WHOI BCO-DMO";
    String people_4_person_name "Amber York";
    String people_4_person_nid "643627";
    String people_4_role "BCO-DMO Data Manager";
    String people_4_role_type "related";
    String project "DANCE";
    String projects_0_acronym "DANCE";
    String projects_0_description 
"NSF abstract:
Deposition of atmospheric nitrogen provides reactive nitrogen species that influence primary production in nitrogen-limited regions. Although it is generally assumed that these species in precipitation contributes substantially to anthropogenic nitrogen loadings in many coastal marine systems, its biological impact remains poorly understood. Scientists from Pennsylvania State University, William & Mary College, and Old Dominion University will carry out a process-oriented field and modeling effort to test the hypothesis that deposits of wet atmospheric nitrogen (i.e., precipitation) stimulate primary productivity and accumulation of algal biomass in coastal waters following summer storms and this effect exceeds the associated biogeochemical responses to wind-induced mixing and increased stratification caused by surface freshening in oligotrophic coastal waters of the eastern United States. To attain their goal, the researchers would perform a Lagrangian field experiment during the summer months in coastal waters located between Delaware Bay and the coastal Carolinas to determine the response of surface-layer biogeochemistry and biology to precipitation events, which will be identified and intercepted using radar and satellite data. As regards the modeling effort, a 1-D upper ocean mixing model and a 1-D biogeochemical upper-ocean will be calibrated by assimilating the field data obtained a part of the study using the adjoint method. The hypothesis will be tested using sensitivity studies with the calibrated model combined with in-situ data and results from the incubation experiments. Lastly, to provide regional and historical context for the field measurements and the associated 1-D modeling, linked regional atmospheric-oceanic biogeochemical modeling will be conducted.
Broader Impacts. Results from the study would be incorporated into class lectures for graduate courses on marine policy and marine biogeochemistry. One graduate student from Pennsylvania State University, one graduate student from the College of William and Mary, and one graduate and one undergraduate student from Old Dominion University would be supported and trained as part of this project.";
    String projects_0_end_date "2017-02";
    String projects_0_geolocation "Offshore Mid-Atlantic Bight and northern South-Atlantic Bight between latitudes 31.60°N and 38.89°N, and longitudes 71.09°W and 75.16°W";
    String projects_0_name "Collaborative Research: Impacts of atmospheric nitrogen deposition on the biogeochemistry of oligotrophic coastal waters";
    String projects_0_project_nid "726328";
    String projects_0_start_date "2013-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 33.628;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Dissolved iron, nitrate+nitrite, ammonium, and phosphate were measured from CTD bottle samples, and underway water samples collected with a towfish system during the R/V Hugh R. Sharp cruise HRS1414 in the Mid and South-Atlantic Bight in August of 2014.  This dataset also includes temperature, salinity, chlorophyll fluorescence, depth, latitude, and longitude.";
    String title "Trace-metals from CTD casts and underway water samples collected during the R/V Hugh R. Sharp cruise HRS1414 in the Mid and South-Atlantic Bight in August of 2014 (DANCE project)";
    String version "1";
    Float64 Westernmost_Easting -74.4656;
    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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