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Dataset Title:  Dissolved and sinking particulate organic nitrogen data from a large volume
mesocosm experiment in the Noumea Lagoon, New Caledonia, measured from January
to February 2013
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_739646)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Sampling_Date {
    String bcodmo_name "date";
    String description "Sample date in format \"dd-mmm-yyyy\"";
    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";
  }
  M1_DON {
    Float32 _FillValue NaN;
    Float32 actual_range 5.1, 5.9;
    String bcodmo_name "Dissolved Organic Nitrogen";
    String description "Dissolved organic nitrogen (replicate \"M1\")";
    String long_name "M1 DON";
    String units "micromolar (uM)";
  }
  M1_DONd15N {
    Float32 _FillValue NaN;
    Float32 actual_range 3.2, 6.0;
    String bcodmo_name "N";
    String description "Dissolved organic nitrogen isotopic composition (replicate \"M1\")";
    String long_name "M1 DONd15 N";
    String units "per mil (0/00)";
  }
  M2_DON {
    Float32 _FillValue NaN;
    Float32 actual_range 3.6, 7.0;
    String bcodmo_name "Dissolved Organic Nitrogen";
    String description "Dissolved organic nitrogen (replicate \"M2\")";
    String long_name "M2 DON";
    String units "micromolar (uM)";
  }
  M2_DONd15N {
    Float32 _FillValue NaN;
    Float32 actual_range 4.1, 5.1;
    String bcodmo_name "N";
    String description "Dissolved organic nitrogen isotopic composition (replicate \"M2\")";
    String long_name "M2 DONd15 N";
    String units "per mil (0/00)";
  }
  M3_DON {
    Float32 _FillValue NaN;
    Float32 actual_range 4.9, 6.5;
    String bcodmo_name "Dissolved Organic Nitrogen";
    String description "Dissolved organic nitrogen (replicate \"M3\")";
    String long_name "M3 DON";
    String units "micromolar (uM)";
  }
  M3_DONd15N {
    Float32 _FillValue NaN;
    Float32 actual_range 4.0, 6.7;
    String bcodmo_name "N";
    String description "Dissolved organic nitrogen isotopic composition (replicate \"M3\")";
    String long_name "M3 DONd15 N";
    String units "per mil (0/00)";
  }
  M1_d15NPNsink {
    Float32 _FillValue NaN;
    Float32 actual_range 0.2, 5.8;
    String bcodmo_name "N";
    String description "Sinking particulate nitrogen isotopic composition (replicate \"M1\")";
    String long_name "M1 D15 NPNsink";
    String units "per mil (0/00)";
  }
  M2_d15NPNsink {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1, 4.5;
    String bcodmo_name "N";
    String description "Sinking particulate nitrogen isotopic composition (replicate \"M2\")";
    String long_name "M2 D15 NPNsink";
    String units "per mil (0/00)";
  }
  M3_d15NPNsink {
    Float32 _FillValue NaN;
    Float32 actual_range 0.6, 6.4;
    String bcodmo_name "N";
    String description "Sinking particulate nitrogen isotopic composition (replicate \"M3\")";
    String long_name "M3 D15 NPNsink";
    String units "per mil (0/00)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"Sampling and analytical procedures:
 
The concentration of total nitrogen (TN) for samples was determined by
persulfate oxidation (Solorzano and Sharp, 1980) with adaptations (Knapp et
al., 2005), and the resulting NO3- was measured by chemiluminescence (Braman
and Hendrix, 1989). DON concentration was determined by subtracting the
concentrations of PNsusp, NH4+, and NO3-+NO2- (reported in Berthelot et al.,
2015, Biogeosciences) from the measured TN concentration of each sample with a
propagated error of +/- 0.5 \\u03bcM. The d15N of the resulting NO3- was
measured using the denitrifier method (Casciotti et al., 2002; McIlvin and
Casciotti, 2011; Sigman et al., 2001).
 
The d15N of PNsink was measured using a Thermo Scientific Flash 2000 Elemental
Analyzer coupled with a Delta Plus Thermo Scientific mass spectrometer.
 
The average standard deviation for individual DON concentration measurements
was +/- 0.3 \\u00b5M. DON concentration was determined by subtracting the
concentrations of PNsusp, NH4+, and NO3-+NO2- (reported in Berthelot et al.,
2015, Biogeosciences) from the measured TN concentration of each sample with a
propagated error of +/- 0.5 \\u03bcM.
 
The d15N of TN was determined via persulfate oxidation of TN to NO3- (Knapp et
al., 2005) and subsequent analysis of NO3- d15N by the denitrifier method,
with a propagated error for DON d15N calculated using a Monte Carlo method
(Press et al., 1992) of +/- 0.6\\u2030. Samples were calibrated with IAEA N3
and USGS 34 NO3- d15N isotopic reference materials as described in McIlvin and
Casciotti, 2011.
 
The d15N of PNsink was measured using a Thermo Scientific Flash 2000 Elemental
Analyzer coupled  
 with a Delta Plus Thermo Scientific mass spectrometer. The average standard
deviation for standards was +/- 0.06\\u2030.";
    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 
"VAHINE nitrogen 
  PI: Angela Knapp 
  Data version 1: 2018-07-10";
    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 "2018-07-10T19:07:01Z";
    String date_modified "2018-07-12T18:56:18Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.739646.1";
    String history 
"2024-04-24T20:46:11Z (local files)
2024-04-24T20:46:11Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_739646.das";
    String infoUrl "https://www.bco-dmo.org/dataset/739646";
    String institution "BCO-DMO";
    String instruments_0_acronym "IR Mass Spec";
    String instruments_0_dataset_instrument_description "DON d15N was measured on a Thermo Delta V isotope ratio mass spectrometer.";
    String instruments_0_dataset_instrument_nid "739696";
    String instruments_0_description "The Isotope-ratio Mass Spectrometer is a particular type of mass spectrometer used to measure the relative abundance of isotopes in a given sample (e.g. VG Prism II Isotope Ratio Mass-Spectrometer).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB16/";
    String instruments_0_instrument_name "Isotope-ratio Mass Spectrometer";
    String instruments_0_instrument_nid "469";
    String instruments_0_supplied_name "Thermo Delta V isotope ratio mass spectrometer";
    String instruments_1_dataset_instrument_description "DON concentration was measured on a Thermo Scientific 42i chemiluminescent NOx box.";
    String instruments_1_dataset_instrument_nid "739695";
    String instruments_1_description 
"The chemiluminescence method for gas analysis of oxides of nitrogen relies on the measurement of light produced by the gas-phase titration of nitric oxide and ozone. A chemiluminescence analyzer can measure the concentration of NO/NO2/NOX.

One example is the Teledyne Model T200: http://www.teledyne-api.com/products/T200.asp";
    String instruments_1_instrument_name "Chemiluminescence NOx Analyzer";
    String instruments_1_instrument_nid "542895";
    String instruments_1_supplied_name "Thermo Scientific 42i chemiluminescent NOx";
    String instruments_2_dataset_instrument_description "The d15N of PNsink was measured using a Thermo Scientific Flash 2000 Elemental Analyzer coupled with a Delta Plus Thermo Scientific mass spectrometer.";
    String instruments_2_dataset_instrument_nid "739697";
    String instruments_2_description "Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB01/";
    String instruments_2_instrument_name "Elemental Analyzer";
    String instruments_2_instrument_nid "546339";
    String instruments_2_supplied_name "Thermo Scientific Flash 2000 Elemental Analyzer";
    String keywords "bco, bco-dmo, biological, chemical, d15, data, dataset, date, dmo, don, dond15, erddap, M1_d15NPNsink, M1_DON, M1_DONd15N, M2_d15NPNsink, M2_DON, M2_DONd15N, M3_d15NPNsink, M3_DON, M3_DONd15N, management, npnsink, oceanography, office, preliminary, sampling, time";
    String license "https://www.bco-dmo.org/dataset/739646/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/739646";
    String param_mapping "{'739646': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/739646/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 "Florida State University";
    String people_1_affiliation_acronym "FSU";
    String people_1_person_name "Angela N. Knapp";
    String people_1_person_nid "555499";
    String people_1_role "Contact";
    String people_1_role_type "related";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Amber York";
    String people_2_person_nid "643627";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_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)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "This dataset includes water column dissolved organic nitrogen (DON) concentration and d15N data, as well as sinking particulate nitrogen d15N (\\u201cPNsink d15N\\u201d) data. These samples were collected inside triplicate (\\u201cM1\\u201d, \\u201cM2\\u201d, and \\u201cM3\\u201d) large volume (i.e., 2.3 m diameter, 15 m deep) mesocosm experiments deployed in a lagoon off of Noumea, New Caledonia. DON samples were collected at 6 m depth daily by a Teflon pump and PVC tubing. PNsink d15N samples were collected daily by SCUBA divers who removed a screw-top plastic bottle from the bottom of the plastic mesocosm. \\u201cSwimmers\\u201d were removed from the PNsink d15N samples prior to analysis.\\r\\n\\r\\nThese measurements were made as part of project \\VAriability of vertical and tropHIc transfer of diazotroph derived N in the south wEst Pacific\\ (VAHINE) to study the fate of fixed nitrogen in the oceanic pelagic food web and its potential impact on carbon export. The field campaign of VAHINE took place in the South West Pacific (New Caledonia) in January and February of 2013 and involved 16 scientists from France, Israel, Germany and the USA.";
    String title "Dissolved and sinking particulate organic nitrogen data from a large volume mesocosm experiment in the Noumea Lagoon, New Caledonia, measured from January to February 2013";
    String version "1";
    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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