Make A Graph

Dataset Title:	[Gulf of Mexico NO3 isotopes] - Water column nitrate+nitrite d15N and d18O from samples collected during R/V Pelican and R/V F.G. Walton Smith cruises in the Gulf of Mexico and Florida Straits between 2011 and 2018 (Quantifying nitrogen fixation along unique geochemical gradients in the southwest Pacific Ocean)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_782518)
Range:	longitude = -92.0401 to -79.5°E, latitude = 25.866 to 27.0°N, depth = 1.0 to 2805.0m
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

To work correctly, this web page requires that JavaScript be enabled in your browser. Please:
1) Enable JavaScript in your browser:
      • Chrome: "Settings : Advanced : Privacy and security : Site Settings : JavaScript"
      • Firefox: (it should be always on!)"
      • Opera: "Settings : Websites : JavaScript"
      • Safari: "Safari : Preferences : Security : Enable JavaScript"
2) Reload this web page.

Graph Type:

X Axis:

Y Axis:

Color:

Constraints	Optional Constraint #1		Optional Constraint #2

Server-side Functions

distinct()

Hover here to see a list of options. Click on an option to select it.

Graph Settings

Marker Type:

Size:

Color:

Color Bar:

Continuity:

Scale:

Minimum:

Maximum:

N Sections:

Draw land mask:

Y Axis Minimum:

Maximum:

(Please be patient. It may take a while to get the data.)

Optional:
Then set the File Type: (File Type information)
and

or view the URL:
(Documentation / Bypass this form

)

Click on the map to specify a new center point.

Zoom:

[The graph you specified. Please be patient.]

Things You Can Do With Your Graphs

Well, you can do anything you want with your graphs, of course. But some things you might not have considered are:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise_ID {
    String bcodmo_name "cruise_id";
    String description "Rolling Deck Repository or other cruise identifier";
    String long_name "Cruise ID";
    String units "unitless";
  }
  Sampling_Date {
    String bcodmo_name "date";
    String description "Date on which the sample was collected";
    String long_name "Sampling Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String source_name "Sampling_Date";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 25.866, 27.0;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude at which the sample was collected";
    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 -92.0401, -79.5;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude at which the sample was collected";
    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, 2805.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth at which the sample was collected";
    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";
  }
  SigmaTheta {
    Float32 _FillValue NaN;
    Float32 actual_range 22.53, 27.77;
    String bcodmo_name "sigma_theta";
    String description "Potential Density of depth at which sample was collected";
    String long_name "Sea Water Sigma Theta";
    String units "unitless";
  }
  NO3_NO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 31.22;
    String bcodmo_name "NO3_NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Concentration of nitrate+nitrite in a sample";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "micro molar (µM)";
  }
  NO3_NO2_d15N {
    Float32 _FillValue NaN;
    Float32 actual_range 2.39, 5.8;
    String bcodmo_name "d15N";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Nitrogen isotopic composition of nitrate+nitrite in a sample";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "per mil (0/00) vs. N2 in air";
  }
  NO3_NO2_d18O {
    Float32 _FillValue NaN;
    Float32 actual_range 0.67, 3.75;
    String bcodmo_name "d18O_NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "Oxygen isotopic composition of nitrate+nitrite in a sample";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "per mil (0/00) vs. VSMOW";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 34.9, 36.81;
    String bcodmo_name "sal";
    String description "salinity of the sample";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "Practical Salinity Units (PSU)";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range 4.24, 29.45;
    String bcodmo_name "temperature";
    String description "temperature of the sample";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Water column samples were collected by Niskin bottle on a CTD rosette
(\\u201cCTD profile\\u201d). NO3-+NO2- concentration was measured using a
chemiluminescent method described by Braman and Hendrix, 1989, with a
detection limit of 0.1 \\u00b5M. NO3-+NO2- d15N and d18O analyses were by the
\\u201cdenitrifier method\\u201d and followed the methods described by Sigman et
al., 2001, Casciotti et al., 2002, McIlvin and Casciotti, 2011, and Weigand et
al., 2016. Briefly, NO3-+NO2- was quantitatively reduced to N2O by Pseudomonas
aureofaciens and Pseudomonas chlororaphis, which was then cryogenically
focused and analyzed on an isotope ratio mass spectrometer. A volume of sample
was added to each bacterial vial to achieve a final quantity of 10 or 20 nmols
N2O, which was then purged from the vial using a helium carrier gas. The d15N
of N2O in samples was calibrated with the international isotopic reference
materials.
 
The average precision of the nitrate+nitrite concentration measurement was
<0.2 \\u00b5M. The average precision of nitrate+nitrite d15N measurements was
<0.2 per mil and for d18O was <0.3 per mil, but with the standard deviation
for duplicate analyses of each sample reported here. NO3-+NO2- \\u03b415N
\\u03b418O analyses were calibrated with IAEA N3 and USGS 34 NO3- d15N isotopic
reference materials as described in McIlvin and Casciotti, 2011. NO3-+NO2-
d18O were also calibrated with the USGS 35 isotopic reference material as
described in McIlvin and Casciotti, 2011.";
    String awards_0_award_nid "710561";
    String awards_0_award_number "OCE-1537314";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1537314";
    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 cdm_data_type "Other";
    String comment 
"Gulf of Mexico NO3 isotopes 
  PI(s): Angela N. Knapp 
  Data Version 1: 2019-11-21";
    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 "2019-11-21T20:42:09Z";
    String date_modified "2019-11-26T21:22:23Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.782518.1";
    Float64 Easternmost_Easting -79.5;
    Float64 geospatial_lat_max 27.0;
    Float64 geospatial_lat_min 25.866;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -79.5;
    Float64 geospatial_lon_min -92.0401;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2805.0;
    Float64 geospatial_vertical_min 1.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T05:48:17Z (local files)
2024-11-08T05:48:17Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_782518.das";
    String infoUrl "https://www.bco-dmo.org/dataset/782518";
    String institution "BCO-DMO";
    String instruments_0_acronym "Mass Spec";
    String instruments_0_dataset_instrument_description "Nitrate+nitrite d15N was measured using a Thermo Finnigan Delta V isotope ratio mass spectrometer.";
    String instruments_0_dataset_instrument_nid "782731";
    String instruments_0_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_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_0_instrument_name "Mass Spectrometer";
    String instruments_0_instrument_nid "685";
    String instruments_0_supplied_name "Thermo Finnigan Delta V isotope ratio mass spectrometer";
    String instruments_1_acronym "Gas Analyzer";
    String instruments_1_dataset_instrument_description "Nitrate+nitrite concentration was measured on a Thermo 42i NOx analyzer.";
    String instruments_1_dataset_instrument_nid "782730";
    String instruments_1_description "Gas Analyzers - Instruments for determining the qualitative and quantitative composition of gas mixtures.";
    String instruments_1_instrument_name "Gas Analyzer";
    String instruments_1_instrument_nid "720";
    String instruments_1_supplied_name "Thermo 42i NOx analyzer";
    String keywords "altimetry, bco, bco-dmo, biological, chemical, chemistry, concentration, cruise, Cruise_ID, data, dataset, date, density, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Salinity/Density > Density, erddap, laboratory, latitude, longitude, management, mole, mole_concentration_of_nitrate_in_sea_water, n02, nitrate, no3, NO3_NO2, NO3_NO2_d15N, NO3_NO2_d18O, ocean, oceanography, oceans, office, preliminary, sal, salinity, sampling, satellite, science, sea, sea_water_sigma_theta, seawater, sigma, SigmaTheta, temperature, theta, time, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/782518/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/782518";
    Float64 Northernmost_Northing 27.0;
    String param_mapping "{'782518': {'Latitude': 'flag - latitude', 'Depth': 'flag - depth', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/782518/parameters";
    String people_0_affiliation "Florida State University";
    String people_0_affiliation_acronym "FSU";
    String people_0_person_name "Angela N. Knapp";
    String people_0_person_nid "555499";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Amber York";
    String people_1_person_nid "643627";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "SW Pac N2 fixation";
    String projects_0_acronym "SW Pac N2 fixation";
    String projects_0_description 
"NSF Award Abstract:
The availability of nitrogen in the surface ocean plays a critical role regulating rates of primary productivity in the ocean, and thus through modification of the carbon cycle, nitrogen has the capacity to influence climate. The dominant source of biologically available nitrogen to the ocean is through a process known as di-nitrogen (N2) fixation, which involves the reduction of N2 gas dissolved in seawater to ammonium by microbes referred to as diazotrophs. While significant progress has been made identifying a diversity of marine diazotrophs in recent years using molecular tools, quantifying global rates of N2 fixation, and identifying which ocean basin supports the highest fluxes, has remained a vexing question. This research will quantify rates of N2 fixation as well as its importance for supporting production in the southwest Pacific Ocean. Results from this research will shed light on the sensitivities of N2 fixation (temperature, iron concentrations) as well as the extent of spatial and temporal coupling of nitrogen sources and sinks in the ocean. The work will be carried out by an early career scientist, and involve mentoring of young women, middle school girls and minorities, training of undergraduate and graduate researchers, and international collaborations.
Identifying the spatial distribution of the largest di-nitrogen (N2) fixation fluxes to the ocean remains a critical goal of chemical oceanography. The spatial distribution can inform our understanding of the environmental sensitivities of N2 fixation and the capacity for the dominant marine nitrogen (N) source and sink processes to respond to each other and thus influence the global carbon cycle and climate. In addition to temperature, two factors are at the heart of the current debate over what influences the spatial distribution of N2 fixation in the ocean: 1) the presence of adequate iron to meet the needs of N2 fixing microbes, and, 2) the absolute concentrations as well as ratios of surface ocean nitrate and phosphate concentrations that are low relative to the \"Redfield\" ratio, which are thought to favor N2 fixing microbes. This project will test the effects of gradients in atmospheric dust deposition on N2 fixation rates when surface waters have relatively constant but favorable nitrate to phosphate concentrations. The work will be carried out in the southwest Pacific, a region highlighted by new modeling work for its unique geochemical characteristics that are expected to favor significant N2 fixation fluxes. Nitrate+nitrite d15N as well as total dissolved nitrogen (TDN) concentration and d15N will be measured in water column samples collected on a French cruise and sediment traps were deployed to capture the sinking particulate N flux. The results will be compared with published work to evaluate which ocean regions support the largest N2 fixation fluxes.
More information:
This project was part of the Oligotrophy to UlTra-oligotrophy PACific Experiment (OUTPACE) cruise in the Southwest Pacific between New Caledonia (166°28' E; 22°14' S) and Tahiti (149°36' W; 17°34' S) 0-2000 m
* OUTPACE cruise (doi: https://dx.doi.org/10.17600/15000900)
* OUTPACE website: https://outpace.mio.univ-amu.fr/?lang=en";
    String projects_0_end_date "2018-07";
    String projects_0_geolocation "Southwest Pacific Ocean between New Caledonia and Tahiti along ~18 deg S";
    String projects_0_name "Quantifying nitrogen fixation along unique geochemical gradients in the southwest Pacific Ocean";
    String projects_0_project_nid "710562";
    String projects_0_project_website "http://scope.soest.hawaii.edu/data/lava/lava.html";
    String projects_0_start_date "2015-08";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 25.866;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This data set includes water column nitrate+nitrite d15N and d18O measurements from the Gulf of Mexico and Florida Straits. These measurements were used to address whether Mississippi River nitrate is entrained in Loop Current waters and potentially exported from the Gulf of Mexico to the North Atlantic.  Water samples were collected during R/V Pelican and R/V F.G. Walton Smith cruises in the Gulf of Mexico and Florida Straits between 2011 and 2018.";
    String title "[Gulf of Mexico NO3 isotopes] - Water column nitrate+nitrite d15N and d18O from samples collected during R/V Pelican and R/V F.G. Walton Smith cruises in the Gulf of Mexico and Florida Straits between 2011 and 2018 (Quantifying nitrogen fixation along unique geochemical gradients in the southwest Pacific Ocean)";
    String version "1";
    Float64 Westernmost_Easting -92.0401;
    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.