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Dataset Title:  Nutrients and iron in shipboard aerosol and rain samples collected during R/V
Hugh R. Sharp cruise HRS1414 in the Mid-Atlantic Bight and northern South-
Atlantic Bight from July to August of 2014 (DANCE project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_738744)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Sample_ID (unitless) ?          "Aer-01 <1 micron"    "Rain-Sampler-Blank"
 Comment (unitless) ?          "NaN"    "pre-cruise"
 Date (unitless) ?          "7/31/2014"    "NA"
 Duration (minutes) ?          264    600
 latitude (Start Lat, degrees_north) ?          33.4453    38.5334
  < slider >
 End_Lat (decimal degrees) ?          33.4254    38.4044
 longitude (Start Long, degrees_east) ?          -74.3724    -70.0543
  < slider >
 End_Long (decimal degrees) ?          -74.2156    -71.495
 Air_Volume (meters cubed (m3)) ?          300.7    684.9
 DFe (nanomoles per liter (nmol/L)) ?          "0.47"    "ND"
 Sol_Aer_Fe (nanomoles per meter cubed (nmol/m3)) ?          "0.003"    "NA"
 TFe (nanomoles per liter (nmol/L)) ?          "104.2"    "ND"
 Tot_Aer_Fe (nanomoles per meter cubed (nmol/m3)) ?          "0.108"    "NA"
 NO3_NO2 (micromoles per liter (umol/L)) ?          "0.06"    "BDL"
 Sol_Aer_NO3_NO2 (nanomoles per meter cubed (nmol/m3)) ?          1.5    26.4
 PO4 (micromoles per liter (umol/L)) ?          "0.01"    "BDL"
 Sol_Aer_PO4 (nanomoles per meter cubed (nmol/m3)) ?          "0.06"    "NA"
 NH4 (micromoles per liter (umol/L)) ?          0.01    35.77
 Sol_Aer_NH4 (nanomoles per meter cubed (nmol/m3)) ?          1.9    43.4
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Sample_ID {
    String bcodmo_name "sample";
    String description "unique identifier for each sample";
    String long_name "Sample ID";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/ACYC/";
    String units "unitless";
  }
  Comment {
    String bcodmo_name "comment";
    String description "sample comment";
    String long_name "Comment";
    String units "unitless";
  }
  Date {
    String bcodmo_name "date";
    String description "local date (month/day/year) of collection";
    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";
  }
  Duration {
    Int16 _FillValue 32767;
    Int16 actual_range 264, 600;
    String bcodmo_name "time_elapsed";
    String description "duration of sample collection (aerosols) (NA: not applicable)";
    String long_name "Duration";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ELTMZZZZ/";
    String units "minutes";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 33.4453, 38.5334;
    String axis "Y";
    String bcodmo_name "latitude";
    String description "latitude at start of sample collection (NA: not applicable)";
    String ioos_category "Location";
    String long_name "Start Lat";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  End_Lat {
    Float32 _FillValue NaN;
    Float32 actual_range 33.4254, 38.4044;
    String bcodmo_name "latitude";
    String description "latitude at end of sample collection (NA: not applicable)";
    String long_name "End Lat";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String units "decimal degrees";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -74.3724, -70.0543;
    String axis "X";
    String bcodmo_name "longitude";
    String description "longitude at start of sample collection (NA: not applicable)";
    String ioos_category "Location";
    String long_name "Start Long";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  End_Long {
    Float32 _FillValue NaN;
    Float32 actual_range -74.2156, -71.495;
    String bcodmo_name "longitude";
    String description "longitude at end of sample collection (NA: not applicable)";
    String long_name "End Long";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String units "decimal degrees";
  }
  Air_Volume {
    Float32 _FillValue NaN;
    Float32 actual_range 300.7, 684.9;
    String bcodmo_name "sample_volume";
    String description "volume of air filtered (aerosols) (NA: not applicable)";
    String long_name "Air Volume";
    String units "meters cubed (m3)";
  }
  DFe {
    String bcodmo_name "Fe";
    String description "dissolved iron concentration; (rainwater or aerosol leachate) (NA: not applicable; BDL: below detection limit)";
    String long_name "DFe";
    String units "nanomoles per liter (nmol/L)";
  }
  Sol_Aer_Fe {
    String bcodmo_name "Fe";
    String description "soluble aerosol iron (atmospheric loading) (ND: not determined;  BDL: below detection limit)";
    String long_name "Sol Aer Fe";
    String units "nanomoles per meter cubed (nmol/m3)";
  }
  TFe {
    String bcodmo_name "Fe";
    String description "total iron concentration; (rainwater or aerosol) (ND: not determined; BDL: below detection limit)";
    String long_name "TFe";
    String units "nanomoles per liter (nmol/L)";
  }
  Tot_Aer_Fe {
    String bcodmo_name "Fe";
    String description "total aerosol iron; (atmospheric loading) (NA: not applicable; BDL: below detection limit)";
    String long_name "Tot Aer Fe";
    String units "nanomoles per meter cubed (nmol/m3)";
  }
  NO3_NO2 {
    String bcodmo_name "NO3_NO2";
    String description "dissolved nitrate plus nitrite concentration (rainwater or aerosol leachate) (BDL: below detection limit)";
    String long_name "NO3 NO2";
    String units "micromoles per liter (umol/L)";
  }
  Sol_Aer_NO3_NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.5, 26.4;
    String bcodmo_name "NO3_NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "soluble aerosol nitrate plus nitrite (atmospheric loading) (NA: not applicable)";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "nanomoles per meter cubed (nmol/m3)";
  }
  PO4 {
    String bcodmo_name "PO4";
    String description "dissolved phosphate (rainwater or aerosol leachate) (BDL: below detection limit)";
    String long_name "PO4";
    String units "micromoles per liter (umol/L)";
  }
  Sol_Aer_PO4 {
    String bcodmo_name "PO4";
    String description "soluble aerosol phosphate (NA: not applicable; BDL: below detection limit)";
    String long_name "Sol Aer PO4";
    String units "nanomoles per meter cubed (nmol/m3)";
  }
  NH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 35.77;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "dissolved ammonium (rainwater or aerosol leachate)";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromoles per liter (umol/L)";
  }
  Sol_Aer_NH4 {
    Float32 _FillValue NaN;
    Float32 actual_range 1.9, 43.4;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "soluble aerosol ammonium (NA: not applicable)";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "nanomoles per meter cubed (nmol/m3)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Aerosol sample collection: Aerosols were collected on cellulose filters using
a Tisch Series 235 high-volume (~1 m3 air min-1) aerosol sampler equipped with
a cascade impactor designed for the separation of coarse (>1 \\u00b5m) and fine
(<1 \\u00b5m) aerosol fractions. The sampler was mounted on a platform atop the
ship\\u2019s wheelhouse as far forward as possible. Relative wind speed and
direction were monitored during aerosol sample collection, and the sampler was
operated only when the ship was steaming into the prevailing wind, in an
effort to avoid contamination from the ship\\u2019s exhaust and superstructure.
The cascade impactor was loaded with Whatman 41 cellulose filters that had
been pre-cleaned at Old Dominion University using 0.1 N and 0.5 N hydrochloric
acid, following a procedure modified from Baker et al. [2006]. Six filters
(five 25 cm x 25 cm slotted sheets and one 20.3 cm x 25.4 cm backing sheet)
were used for the collection of each aerosol sample. Air flow rates were
calculated using manufacturer-provided flow conversion tables and the pressure
decrease across the filters, which was measured at the start and end of sample
collection using a handheld digital manometer (Dwyer Series). The total air
volume sampled was estimated from the period of sample collection and the
average value of the initial and final flow rates.
 
Aerosol sample processing: Immediately following collection, the aerosol-laden
filters were unloaded and subsampled within a Class-100 clean air bench. Fixed
portions of the aerosol-laden cellulose filters corresponding to each aerosol
size fraction (<1 \\u00b5m and >1 \\u00b5m) were transferred into 47 mm diameter
perfluoroalkoxy alkane filter funnel assemblies (Savillex) loaded with acid-
cleaned 0.4 \\u00b5m polycarbonate filter membranes, and leached with 750 ml of
18.2 M\\u03a9-cm resistivity deionized water (Barnstead Nanopure), in a flow-
through protocol modfied after Buck et al. [2006]. Aliquots of the leachate
solutions were immediately transferred into (i) acid-cleaned 125 ml low-
density polyethylene bottles (Nalgene), then acidified with 500 \\u03bcl 6N
ultrapure hydrochloric acid (Fisher Chemical, Optima), for post-cruise
analysis of soluble aerosol iron, and (ii) 60 mL polypropylene tubes (Falcon)
for shipboard analysis of soluble aerosol nitrate+nitrite, phosphate and
ammonium. In addition, separate portions of the aerosol-laden cellulose
filters corresponding to each aerosol size fraction (<1 \\u00b5m and >1
\\u00b5m) were stored in pre-cleaned ziploc polyethylene bags for microwave
acid digestion at Old Dominion University. The microwave acid digestion
procedure was adapted from Morton et al. [2013], with the resulting digest
solutions evaporated to near dryness and then diluted with 20 mL of 1%
ultrapure nitric acid (Fisher Chemical, Optima).
 
Rainwater sample collection: Two methods were used to collect the rain samples
at sea. Samples Rain-01 and Rain-02 were collected in two acid-cleaned 2 L
wide-mouth fluorinated high-density polyethylene bottles (Nalgene) mounted
inside a polyethylene bucket, using an N-Con Systems automated rain sampler.
Samples Rain-03, Rain-04 and Rain-05 were manually collected using an acid-
cleaned high-density polyethylene funnel (Nalgene) connected by a Teflon
collar to an acid-cleaned 2 L low-density polyethylene bottle (Nalgene). Both
sample collectors were mounted on a platform atop the ship\\u2019s wheelhouse
as far forward as possible, with samples collected whilst the ship was
steaming into the prevailing wind, in an effort to avoid contamination from
the ship\\u2019s exhaust and superstructure. The ODU Rain Composite combines
samples collected on the Old Dominion University campus during summer 2014
using the manual funnel sampling method.
 
Rainwater sample processing: Immediately following collection, rainwater
sample containers were capped and transferred to a shipboard Class-100 clean
air bench for processing. From each sample, aliquots were transferred into (i)
60 mL polypropylene tubes (Falcon), which were frozen for post cruise analysis
of nitrate+nitrite, phosphate and ammonium, and, when there was sufficient
sample volume (ii) acid-cleaned 125 ml low-density polyethylene bottles
(Nalgene) and acidified to pH 1.8 with 6N ultrapure hydrochloric acid (Fisher
Chemical, Optima) for post-cruise analysis of total iron (more strictly, total
acid-labile iron). In addition, if the volume of sample was sufficient, the
rainwater was filtered through an acid-cleaned 0.4 \\u00b5m polycarbonate
membrane using a 47 mm diameter perfluoroalkoxy alkane filter funnel assembly
(Savillex), and the filtrate transferred into an acid-cleaned 125 ml low-
density polyethylene bottles (Nalgene) and acidified to pH 1.8 with 6N
ultrapure hydrochloric acid (Fisher Chemical, Optima) for post-cruise analysis
of dissolved iron.
 
DFe and TFe: Dissolved iron and total iron was determined in aerosol leachate
solutions (DFe), aerosol digest solutions (TFe), filtered rainwater (DFe) and
unfiltered rainwater (TFe, or more strictly, total acid-labile iron) were
determined at Old Dominion University using a ThermoFisher Element2 high-
resolution inductively-coupled plasma mass spectrometer (HR-ICP-MS). Sample
solutions were introduced into the ICP-MS without preconcentration, and
quantified using matrix-matched external standard solutions prepared with SPEX
CertiPrep Claritas PPT grade standards. An indium internal standard was used
to correct for instrumental drift. Analytical limits of detection are
estimated as 0.57 nM for DFe and for TFe in ulfiltered rainwater, and 53 nM
for TFe in the aerosol digest solutions. The values presented for DFe and TFe
in samples represent concentrations after subtracting the concentrations of
the corresponding field blanks (Rain-Sampler-Blank, Rain-Funnel-Blank, or Aer-
Blank). Atmospheric loadings of soluble aerosol iron (Sol Aer Fe) and total
aerosol iron (Tot Aer Fe) were calculated from DFe in aerosol leachates and
TFe in aerosol digest solutions, respectively, and the total air volume
sampled in each case, after correcting for the fraction of the active filter
area that was leached (for DFe) or digested (for TFe).
 
NO3+NO2: Dissolved nitrate plus nitrite was determined in aerosol leachate
solutions and rainwater with 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). Atmospheric loadings
of soluble aerosol nitrate plus nitrite (Sol Aer NO3+NO2) were calculated from
NO3+NO2 in aerosol leachates and the total air volume sampled, after
correcting for the fraction of the active filter area that was leached.
 
PO4: Dissolved phosphate was determined in aerosol leachate solutions and
rainwater with 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). Atmospheric loadings of
soluble aerosol phosphate (Sol Aer PO4) were calculated from PO4 in aerosol
leachates and the total air volume sampled, after correcting for the fraction
of the active filter area that was leached.
 
NH4: Dissolved ammonium was determined in aerosol leachate solutions and
rainwater using the manual orthophthaldialdehyde method (Holmes et al., 1999),
with an estimated detection limit of 10 nM. Atmospheric loadings of soluble
aerosol ammonium (Sol Aer NH4) were calculated from NH4 in aerosol leachates
and the total air volume sampled, after correcting for the fraction of the
active filter area that was leached.";
    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 
"Shipboard aerosol and rain sample nutrients and iron 
  PI: Peter Sedwick 
  data version 1: 2018-06-18";
    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 "2018-06-18T15:59:42Z";
    String date_modified "2019-08-16T14:51:57Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.738744.1";
    Float64 Easternmost_Easting -70.0543;
    Float64 geospatial_lat_max 38.5334;
    Float64 geospatial_lat_min 33.4453;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -70.0543;
    Float64 geospatial_lon_min -74.3724;
    String geospatial_lon_units "degrees_east";
    String history 
"2021-10-19T00:32:51Z (local files)
2021-10-19T00:32:51Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_738744.html";
    String infoUrl "https://www.bco-dmo.org/dataset/738744";
    String institution "BCO-DMO";
    String instruments_0_acronym "ICP Mass Spec";
    String instruments_0_dataset_instrument_description "Iron analysis (DFe and TFe): ThermoFisher Element2 high-resolution inductively-coupled plasma mass spectrometer.";
    String instruments_0_dataset_instrument_nid "738763";
    String instruments_0_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_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB15/";
    String instruments_0_instrument_name "Inductively Coupled Plasma Mass Spectrometer";
    String instruments_0_instrument_nid "530";
    String instruments_0_supplied_name "ThermoFisher Element2";
    String instruments_1_acronym "Nutrient Autoanalyzer";
    String instruments_1_dataset_instrument_description "Macronutrient analysis (NO3+NO2, PO4):  Astoria Pacific nutrient autoanalyzer.";
    String instruments_1_dataset_instrument_nid "738764";
    String instruments_1_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_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_1_instrument_name "Nutrient Autoanalyzer";
    String instruments_1_instrument_nid "558";
    String instruments_1_supplied_name "Astoria Pacific nutrient autoanalyzer";
    String instruments_2_acronym "Aerosol_Sampler";
    String instruments_2_dataset_instrument_description "Tisch Series 235 high-volume aerosol sampler equipped with a cascade impactor.";
    String instruments_2_dataset_instrument_nid "738761";
    String instruments_2_description "A device that collects a sample of aerosol (dry particles or liquid droplets) from the atmosphere.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/13/";
    String instruments_2_instrument_name "Aerosol Sampler";
    String instruments_2_instrument_nid "691";
    String instruments_2_supplied_name "Tisch Series 235";
    String instruments_3_acronym "Precip_Sampler";
    String instruments_3_dataset_instrument_description "Rain Sampler:  N-CON Systems ADS 00-120 sampler";
    String instruments_3_dataset_instrument_nid "738762";
    String instruments_3_description "A device that collects a sample of precipitation (rain, hail or snow) as it falls.";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/14/";
    String instruments_3_instrument_name "Precipitation Sampler";
    String instruments_3_instrument_nid "693";
    String instruments_3_supplied_name "ADS 00-120";
    String instruments_4_acronym "Spectrophotometer";
    String instruments_4_dataset_instrument_description "Spectrofluorophotometer (NH4):  Shimadzu RF1501.";
    String instruments_4_dataset_instrument_nid "738765";
    String instruments_4_description "An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.";
    String instruments_4_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB20/";
    String instruments_4_instrument_name "Spectrophotometer";
    String instruments_4_instrument_nid "707";
    String instruments_4_supplied_name "Shimadzu RF1501";
    String keywords "aer, air, Air_Volume, ammonia, ammonium, bco, bco-dmo, biological, chemical, chemistry, comment, concentration, data, dataset, date, dfe, dmo, duration, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Nitrate, end, End_Lat, End_Long, erddap, long, management, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, n02, nh4, nitrate, nitrite, no2, no3, NO3_NO2, ocean, oceanography, oceans, office, phosphate, po4, preliminary, sample, Sample_ID, science, sea, seawater, sol, Sol_Aer_Fe, Sol_Aer_NH4, Sol_Aer_NO3_NO2, Sol_Aer_PO4, start, Start_Lat, Start_Long, tfe, time, tot, Tot_Aer_Fe, volume, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/738744/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/738744";
    Float64 Northernmost_Northing 38.5334;
    String param_mapping "{'738744': {'Start_Long': 'flag - longitude', 'Start_Lat': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/738744/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 33.4453;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Shipboard aerosol and rain samples were collected during R/V Hugh R. Sharp cruise HRS1414 offshore in the Mid-Atlantic Bight and northern South-Atlantic Bight from July to August of 2014.  Samples were analyzed for nutrients and iron.";
    String title "Nutrients and iron in shipboard aerosol and rain samples collected during R/V Hugh R. Sharp cruise HRS1414 in the Mid-Atlantic Bight and northern South-Atlantic Bight from July to August of 2014 (DANCE project)";
    String version "1";
    Float64 Westernmost_Easting -74.3724;
    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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