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Dataset Title:	[CTD NPP and nutrients] - Net primary production and nutrient data from R/V Hugh R. Sharp cruise HRS1414 CTD casts in the Mid and South-Atlantic Bight from July to August of 2014 (DANCE project) (Collaborative Research: Impacts of atmospheric nitrogen deposition on the biogeochemistry of oligotrophic coastal waters)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_733711)
Range:	longitude = -74.4342 to -71.1617°E, latitude = 33.6412 to 38.7953°N, depth = 1.0 to 1875.0m
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Station {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 13;
    String bcodmo_name "station";
    String description "DANCE cruise station number";
    String long_name "Station";
    String units "unitless";
  }
  Cast {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 29;
    String bcodmo_name "cast";
    String description "DANCE CTD cast number";
    String long_name "Cast";
    String units "unitless";
  }
  Bottle {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 12;
    String bcodmo_name "bottle";
    String description "CTD bottle number";
    String long_name "Bottle";
    String units "unitless";
  }
  Date {
    String bcodmo_name "date";
    String description "local date (EDT) 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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 33.6412, 38.7953;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude at start of CTD deployment";
    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 -74.4342, -71.1617;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude at start of CTD deployment";
    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 {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 1875.0;
    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";
  }
  Sal {
    Float32 _FillValue NaN;
    Float32 actual_range 35.0, 36.6;
    String bcodmo_name "sal";
    String description "salinity calculated from CTD conductivity";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "Practical Salinity Units (PSU)";
  }
  Temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 3.5, 27.3;
    String bcodmo_name "temperature";
    String description "in-situ temperature from CTD";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  CHL_a {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 0.61;
    String bcodmo_name "chlorophyll a";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "chlorophyll a concentration";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "micrograms per liter (ug/l)";
  }
  NO3 {
    String bcodmo_name "NO3";
    String description "dissolved nitrate concentration";
    String long_name "NO3";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "micromoles per liter (umol/l)";
  }
  NO2 {
    String bcodmo_name "NO2";
    String description "dissolved nitrite concentration";
    String long_name "NO2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/";
    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)";
  }
  Urea {
    String bcodmo_name "Urea";
    String description "dissolved urea concentration";
    String long_name "Urea";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/UREAAAZX/";
    String units "micromoles per liter (umol/l)";
  }
  NPP {
    Float32 _FillValue NaN;
    Float32 actual_range 0.03, 0.63;
    String bcodmo_name "Primary Production";
    String description "net primary productivity";
    String long_name "NPP";
    String units "micromoles C per liter per day(umol/l/d)";
  }
  PC {
    Float32 _FillValue NaN;
    Float32 actual_range 3.61, 5.51;
    String bcodmo_name "C";
    String description "particulate carbon";
    String long_name "PC";
    String units "micromoles  C per liter (umol/l)";
  }
  PN {
    Float32 _FillValue NaN;
    Float32 actual_range 0.36, 1.23;
    String bcodmo_name "N";
    String description "particulate nitrogen";
    String long_name "PN";
    String units "micromoles N per liter (umol/l)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Codes in the data:  
 * ND: not determined  
 * BDL: below detection limit  
 * DNP: Data not presented
 
Water column sample collection and in-situ measurements:
 
Water-column samples for analysis of Chl a, nitrate, nitrite, phosphate, urea,
ammonium and net primary productivity, and continuous profiles of temperature
and salinity were collected using a conductivity-temperature-depth sensor (SBE
911 plus) with a 12 Bottle Frame & Carousel (SBE 32) consisting of 12 niskin
bottles. Nutrient samples were collected from the niskin bottles using acid
cleaned tubing and were filtered through a 0.2 \\u00b5m filter. Whole water
samples to measure net primary production were collected directly from CTD
bottles using acid cleaned tubing and drained into acid cleaned 10L carboys.
Measurement of net primary production was done using stable isotopes. Whole
water samples were taken with a niskin bottle from the surface, mix layer, and
chlorophyll maximum and transferred into acid-cleaned 250 mL, 500mL, 1000ml or
2000ml PETG incubation bottles in triplicate. Primary productivity was
measured by adding tracer additions (<10% of the ambient dissolved inorganic
carbon) of NaH13CO2 and incubating for 12-24 hours in flow-through seawater
incubators under neutral density screening. Dark bottles were also incubated.
After 12-24 hours, incubations were terminated by filtration through pre-
combusted (450 degree C for 2 h) GF/F filters. Filters were stored at -20
degree C until analysis in the laboratory. Filters were analyzed on a Europa
20/20 isotope ratio mass spectrometer equipped with an automated nitrogen and
carbon analysis for gas, solids, and liquids (ANCA-GSL) preparation module.
Analysis also resulted in particulate nitrogen (PN) and particulate carbon
(PC) values.
 
NO3 & NO2: Dissolved nitrate and nitrite was determined at sea using an
Astoria Pacific nutrient autoanalyzer using standard colorimetric methods with
a 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 a detection limit of 0.02 \\u00b5M.
 
PO4: Dissolved phosphate was determined at sea using an Astoria Pacific
nutrient autoanalyzer using standard colorimetric methods with a detection
limit of 0.03 \\u00b5M (Parsons et al., 1984; Price and Harrison, 1987).
 
NH4: Dissolved ammonium was determined at sea using the manual
orthophthaldialdehyde method (Holmes et al., 1999).
 
Urea: Dissolved urea was determined at sea using an Astoria Pacific nutrient
autoanalyzer using standard colorimetric methods with a detection limit of
0.08 \\u00b5M (Parsons et al., 1984; Price and Harrison, 1987).
 
Temperature: In-situ temperature was measured using a conductivity-
temperature-depth sensor (SBE 911 plus).\\t
 
Salinity: Salinity was calculated from in-situ conductivity, as measured using
a conductivity-temperature-depth (CTD) sensor (SBE 911 plus).\\t
 
Chl: Chlorophyll a was determined at sea using the non-acidification method
with a Turner 10-AU fluorometer (Welschmeyer et al., 1994).
 
NPP: Net primary production was measured using stable isotopes (Mulholland et
al., 2006).
 
PNPC: Particulate nitrogen and carbon samples were collected by filtering
whole water samples through pre-combusted (450 degree C for 2 h) GF/F filters.
Filters were stored at -20 degree C until analysis in the laboratory. Filters
were analyzed on a Europa 20/20 isotope ratio mass spectrometer equipped with
an automated nitrogen and carbon analysis for gas, solids, and liquids (ANCA-
GSL) preparation module.";
    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 
"DANCE CTD nutrients and NPP 
  PI: Margaret R. Mulholland 
  Data version 1: 2018-04-19";
    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 "2018-04-19T16:14:30Z";
    String date_modified "2019-08-16T14:40:00Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.733711.1";
    Float64 Easternmost_Easting -71.1617;
    Float64 geospatial_lat_max 38.7953;
    Float64 geospatial_lat_min 33.6412;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -71.1617;
    Float64 geospatial_lon_min -74.4342;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1875.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T05:43:52Z (local files)
2024-11-08T05:43:52Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_733711.das";
    String infoUrl "https://www.bco-dmo.org/dataset/733711";
    String institution "BCO-DMO";
    String instruments_0_acronym "Fluorometer";
    String instruments_0_dataset_instrument_description "Fluorimetric detector (NH4): Shimadzu RF-1501";
    String instruments_0_dataset_instrument_nid "733743";
    String instruments_0_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_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_0_instrument_name "Fluorometer";
    String instruments_0_instrument_nid "484";
    String instruments_0_supplied_name "Shimadzu RF-1501";
    String instruments_1_acronym "Fluorometer";
    String instruments_1_dataset_instrument_nid "733746";
    String instruments_1_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_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
    String instruments_1_instrument_name "Fluorometer";
    String instruments_1_instrument_nid "484";
    String instruments_1_supplied_name "Turner Designs 10-AU fluorometer";
    String instruments_2_acronym "Nutrient Autoanalyzer";
    String instruments_2_dataset_instrument_description "Macronutrient analysis (NO3, NO2, Urea, PO4)";
    String instruments_2_dataset_instrument_nid "733744";
    String instruments_2_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_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB04/";
    String instruments_2_instrument_name "Nutrient Autoanalyzer";
    String instruments_2_instrument_nid "558";
    String instruments_2_supplied_name "Astoria Pacific nutrient autoanalyzer";
    String instruments_3_acronym "CTD SBE 911plus";
    String instruments_3_dataset_instrument_nid "733747";
    String instruments_3_description "The Sea-Bird SBE 911plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure.  The SBE 911plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9plus and SBE 11plus is called a SBE 911plus.  The SBE 9plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3plus and SBE 4). The SBE 9plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0058/";
    String instruments_3_instrument_name "CTD Sea-Bird SBE 911plus";
    String instruments_3_instrument_nid "591";
    String instruments_4_acronym "Mass Spec";
    String instruments_4_dataset_instrument_description "NPP: Europa 20/20 isotope ratio mass spectrometer equipped with an automated nitrogen and carbon analysis for gas, solids, and liquids (ANCA-GSL) preparation module.";
    String instruments_4_dataset_instrument_nid "733745";
    String instruments_4_description "General term for instruments used to measure the mass-to-charge ratio of ions; generally used to find the composition of a sample by generating a mass spectrum representing the masses of sample components.";
    String instruments_4_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_4_instrument_name "Mass Spectrometer";
    String instruments_4_instrument_nid "685";
    String instruments_4_supplied_name "Europa 20/20 isotope ratio mass spectrometer";
    String keywords "altimetry, ammonium, bco, bco-dmo, biological, bottle, cast, chemical, chemistry, CHL_a, chlorophyll, concentration, concentration_of_chlorophyll_in_sea_water, data, dataset, date, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, erddap, laboratory, latitude, longitude, management, national, nh4, nitrate, nitrite, no2, no3, npp, ocean, oceanography, oceans, office, orbiting, partnership, phosphate, po4, polar, polar-orbiting, preliminary, sal, satellite, science, sea, seawater, station, temperature, time, urea, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/733711/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/733711";
    Float64 Northernmost_Northing 38.7953;
    String param_mapping "{'733711': {'Latitude': 'flag - latitude', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/733711/parameters";
    String people_0_affiliation "Old Dominion University";
    String people_0_affiliation_acronym "ODU";
    String people_0_person_name "Dr Margaret Mulholland";
    String people_0_person_nid "51386";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Pennsylvania State University";
    String people_1_affiliation_acronym "PSU";
    String people_1_person_name "Dr Raymond Najjar";
    String people_1_person_nid "50813";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Old Dominion University";
    String people_2_affiliation_acronym "ODU";
    String people_2_person_name "Peter N. Sedwick";
    String people_2_person_nid "51056";
    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 "Amber York";
    String people_3_person_nid "643627";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_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 33.6412;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Net primary production (NPP) and nutrient data were acquired from R/V Hugh R. Sharp cruise HRS1414 CTD casts in the Mid and South-Atlantic Bight from July to August of 2014 between latitudes 31.60\\u00b0N and 38.89\\u00b0N, and longitudes 71.09\\u00b0W and 75.16\\u00b0W.";
    String title "[CTD NPP and nutrients] - Net primary production and nutrient data from R/V Hugh R. Sharp cruise HRS1414 CTD casts in the Mid and South-Atlantic Bight from July to August of 2014 (DANCE project) (Collaborative Research: Impacts of atmospheric nitrogen deposition on the biogeochemistry of oligotrophic coastal waters)";
    String version "1";
    Float64 Westernmost_Easting -74.4342;
    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.

(easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
(easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
(not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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.