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Dataset Title:	Fourier transform ion cyclotron resonance mass spectrometer (FT-ICRMS) data from seasonal collections, Doboy Sound, Sapelo Island, GA, July and October 2014
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_735751)
Information:	Summary \| License \| ISO 19115 \| Metadata \| Background \| 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:

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 {
  mass_to_charge {
    Float64 _FillValue NaN;
    Float64 actual_range 162.06808, 750.2735;
    String bcodmo_name "unknown";
    String description "mass-to-charge ratio (m/z). This is equivalent to the mass of a molecule since charge is 1";
    String long_name "Mass To Charge";
    String units "Daltons (Da)";
  }
  C {
    Byte _FillValue 127;
    Byte actual_range 7, 40;
    String bcodmo_name "element";
    String description "number of carbon atoms in molecule";
    String long_name "C";
    String units "atoms";
  }
  H {
    Byte _FillValue 127;
    Byte actual_range 4, 46;
    String bcodmo_name "element";
    String description "number of hydrogen atoms in molecule";
    String long_name "H";
    String units "atoms";
  }
  O {
    Byte _FillValue 127;
    Byte actual_range 1, 19;
    String bcodmo_name "element";
    String description "number of oxygen atoms in molecule";
    String long_name "O";
    String units "atoms";
  }
  N {
    Byte _FillValue 127;
    Byte actual_range 0, 4;
    String bcodmo_name "element";
    String description "number of nitrogen atoms in molecule";
    String long_name "N";
    String units "atoms";
  }
  S {
    Byte _FillValue 127;
    Byte actual_range 0, 2;
    String bcodmo_name "element";
    String description "number of sulfur atoms in molecule";
    String long_name "S";
    String units "atoms";
  }
  Jul14_HT_T0_A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 44.296;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_HT_T0_A";
    String long_name "Jul14 HT T0 A";
    String units "unitless";
  }
  Jul14_HT_T0_B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 45.1912;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_HT_T0_B";
    String long_name "Jul14 HT T0 B";
    String units "unitless";
  }
  Jul14_HT_T0_C {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 45.0551;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_HT_T0_C";
    String long_name "Jul14 HT T0 C";
    String units "unitless";
  }
  Jul14_HT_T24_A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 42.4265;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_HT_T24_A";
    String long_name "Jul14 HT T24 A";
    String units "unitless";
  }
  Jul14_HT_T24_B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 45.4796;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_HT_T24_B";
    String long_name "Jul14 HT T24 B";
    String units "unitless";
  }
  Jul14_HT_T24_C {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 42.5001;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_HT_T24_C";
    String long_name "Jul14 HT T24 C";
    String units "unitless";
  }
  Jul14_LT_T0_A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 42.8276;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_LT_T0_A";
    String long_name "Jul14 LT T0 A";
    String units "unitless";
  }
  Jul14_LT_T0_B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 41.8721;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_LT_T0_B";
    String long_name "Jul14 LT T0 B";
    String units "unitless";
  }
  Jul14_LT_T0_C {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 43.346;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_LT_T0_C";
    String long_name "Jul14 LT T0 C";
    String units "unitless";
  }
  Jul14_LT_T24_A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 42.3801;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_LT_T24_A";
    String long_name "Jul14 LT T24 A";
    String units "unitless";
  }
  Jul14_LT_T24_B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 41.5546;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_LT_T24_B";
    String long_name "Jul14 LT T24 B";
    String units "unitless";
  }
  Jul14_LT_T24_C {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 42.3863;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Jul14_LT_T24_C";
    String long_name "Jul14 LT T24 C";
    String units "unitless";
  }
  Oct14_HT_T0_A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 29.7094;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_HT_T0_A";
    String long_name "Oct14 HT T0 A";
    String units "unitless";
  }
  Oct14_HT_T0_B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 32.2817;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_HT_T0_B";
    String long_name "Oct14 HT T0 B";
    String units "unitless";
  }
  Oct14_HT_T0_C {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 34.8793;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_HT_T0_C";
    String long_name "Oct14 HT T0 C";
    String units "unitless";
  }
  Oct14_HT_T24_A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 33.9168;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_HT_T24_A";
    String long_name "Oct14 HT T24 A";
    String units "unitless";
  }
  Oct14_HT_T24_B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 34.338;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_HT_T24_B";
    String long_name "Oct14 HT T24 B";
    String units "unitless";
  }
  Oct14_HT_T24_C {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 33.3077;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_HT_T24_C";
    String long_name "Oct14 HT T24 C";
    String units "unitless";
  }
  Oct14_LT_T0_A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 33.0736;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_LT_T0_A";
    String long_name "Oct14 LT T0 A";
    String units "unitless";
  }
  Oct14_LT_T0_B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 30.9102;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_LT_T0_B";
    String long_name "Oct14 LT T0 B";
    String units "unitless";
  }
  Oct14_LT_T0_C {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 30.2155;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_LT_T0_C";
    String long_name "Oct14 LT T0 C";
    String units "unitless";
  }
  Oct14_LT_T24_A {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 34.0652;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_LT_T24_A";
    String long_name "Oct14 LT T24 A";
    String units "unitless";
  }
  Oct14_LT_T24_B {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 35.8876;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_LT_T24_B";
    String long_name "Oct14 LT T24 B";
    String units "unitless";
  }
  Oct14_LT_T24_C {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 32.471;
    String bcodmo_name "percent composition";
    String description "relative abundance of molecule in sample Oct14_LT_T24_C";
    String long_name "Oct14 LT T24 C";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv";
    String acquisition_description 
"DOM was collected in Doboy Sound off the southeastern U.S. in July and October
2014. Six 20 L carboys were filled with water and wrapped in black plastic.
Three were processed immediately, while the remaining three were returned to
Doboy Sound for a 24 h dark incubation before processing by an identical
protocol. This experimental scheme was carried out twice during each sampling
event, once at high tide (HT) and once at low tide (LT). Immediately after
collection, samples were filtered (using 0.7 \\u03bcm Whatman GF/F filters pre-
combusted at 450\\u00b0C for 5 h and pre-washed 0.2 \\u03bcm Pall Supor membrane
filters), and aliquots were stored frozen for DOC analysis. Filtrates were
acidified to pH 2, and DOM was isolated using solid phase extraction (SPE)
cartridges (Agilent Bond Elut PPL) as in Dittmar et al. (2008).
 
The molecular composition of the DOM extracts (200 mg C L-1 in methanol) was
analyzed using a 9.4T Fourier transform ion cyclotron resonance mass
spectrometer (FT-ICR MS) with electrospray ionization (ESI; negative mode) at
the National ICR Users\\u2019 Facility at the National High Magnetic Field
Laboratory (NHMFL, Florida State University, Tallahassee, FL).
 
Assignment of molecular formulae was performed by Kendrick mass defect
analysis (Wu et al., 2004) with PetroOrg software (Corilo, 2015) considering a
maximum mass error of 0.5 ppm and using the criteria described by Rossel et
al. (Rossel et al., 2013).";
    String awards_0_award_nid "505523";
    String awards_0_award_number "OCE-1356010";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=1356010";
    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 "Michael E. Sieracki";
    String awards_0_program_manager_nid "50446";
    String cdm_data_type "Other";
    String comment 
"SIMCO - FTICRMS 2014 
   M. A. Moran (UGA) 
   version: 2018-05-10 
     HT: high tide; LT: low tide";
    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 "2018-05-10T16:10:25Z";
    String date_modified "2019-12-09T20:51:02Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.735751.1";
    String history 
"2024-04-23T20:01:40Z (local files)
2024-04-23T20:01:40Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_735751.das";
    String infoUrl "https://www.bco-dmo.org/dataset/735751";
    String institution "BCO-DMO";
    String instruments_0_acronym "FTICR MS";
    String instruments_0_dataset_instrument_description "The molecular composition of the DOM extracts were analyzed";
    String instruments_0_dataset_instrument_nid "735760";
    String instruments_0_description "In Fourier Transform Ion Cyclotron Resonance Mass Spectrometry, the mass-to-charge ratio (m/z) of an ion is experimentally determined by measuring the frequency at which the ion processes in a magnetic field. These frequencies, which are typically in the 100 KHz to MHz regime, can be measured with modern electronics making it possible to determine the mass of an ion to within +/- 0.000005 amu or 5 ppm.";
    String instruments_0_instrument_name "Fourier Transform Ion Cyclotron Resonance Mass Spectrometer";
    String instruments_0_instrument_nid "652691";
    String instruments_0_supplied_name "FT-ICR MS";
    String keywords "bco, bco-dmo, biological, charge, chemical, data, dataset, dmo, erddap, jul14, Jul14_HT_T0_A, Jul14_HT_T0_B, Jul14_HT_T0_C, Jul14_HT_T24_A, Jul14_HT_T24_B, Jul14_HT_T24_C, Jul14_LT_T0_A, Jul14_LT_T0_B, Jul14_LT_T0_C, Jul14_LT_T24_A, Jul14_LT_T24_B, Jul14_LT_T24_C, management, mass, mass_to_charge, oceanography, oct14, Oct14_HT_T0_A, Oct14_HT_T0_B, Oct14_HT_T0_C, Oct14_HT_T24_A, Oct14_HT_T24_B, Oct14_HT_T24_C, Oct14_LT_T0_A, Oct14_LT_T0_B, Oct14_LT_T0_C, Oct14_LT_T24_A, Oct14_LT_T24_B, Oct14_LT_T24_C, office, preliminary, t24";
    String license "https://www.bco-dmo.org/dataset/735751/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/735751";
    String param_mapping "{'735751': {}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/735751/parameters";
    String people_0_affiliation "University of Georgia";
    String people_0_affiliation_acronym "UGA";
    String people_0_person_name "Mary Ann Moran";
    String people_0_person_nid "51592";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of Georgia";
    String people_1_affiliation_acronym "UGA";
    String people_1_person_name "Dr Patricia  M Medeiros";
    String people_1_person_nid "472755";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Nancy Copley";
    String people_2_person_nid "50396";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "SIMCO";
    String projects_0_acronym "SIMCO";
    String projects_0_description 
"Description from NSF award abstract:
Long-standing questions regarding the fate of dissolved organic carbon (DOC) in coastal oceans require a better understanding of the network that links bacterioplankton metabolism with carbon transformation. These questions address uncertainties about the composition of the bioreactive DOC components transformed in ocean margins, and the role of bacterial taxonomic and genetic composition in determining the fate of DOC.
This project will infuse a new type of data into coastal carbon cycle research based on high-resolution chemical analysis coupled with bacterial gene expression measures. It will extend DOC process studies down to the single-compound level and bacterial activity studies down to the single-gene level, and integrate this information into existing bioinformatic resources for biogeochemical and modeling applications.
The specific goals of this project are:
1) To reconstruct major components of the network linking DOC composition, DOC turnover, and bacterial heterotrophy in the coastal ocean (the composition of the DOC pool, the major bioreactive components, the bacterioplankton taxa mediating transformations, and the bacterial genes and pathways responsible).
2) To test hypothesized network links for selected DOC compounds using a simplified system that queries individual DOC compounds against a complex natural microbial community.
3) To test hypothesized network links for marine bacteria using a simplified system that queries a single generalist heterotrophic bacteria against a complex natural DOC pool.
4) To verify predicted DOC-gene linkages that are most informative about heterotrophic activities of bacterioplankton.
This research addresses fundamental questions on bacterial mediation of organic carbon fate in the ocean and atmosphere. As such, these investigations linking the chemical changes in dissolved organic carbon with patterns of gene expression in coastal bacterioplankton communities will be of interest to scientists across several disciplines.
---------------------------
Note: The project acronym, SIMCO, means \"Sapelo Island Microbial Carbon Observatory\".";
    String projects_0_end_date "2016-12";
    String projects_0_geolocation "Southeastern U.S. coastal ocean, 31.4° N Lat, 81.3° W Lon";
    String projects_0_name "High Resolution Linkages Between DOC Turnover and Bacterioplankton in a Coastal Ocean";
    String projects_0_project_nid "472758";
    String projects_0_start_date "2014-01";
    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 "Dissolved organic matter (DOM) from field and incubation collections of Doboy Sounds estuarine waters near Sapelo Island, GA in July and October 2014 was analyzed for chemical composition. Analysis of the dissolved organic matter pool retrieved by solid-phase extraction (PPL resin) was analyzed to determine chemical formulas (by Fourier transform ion cyclotron resonance mass spectrometry, FT-ICR MS).";
    String title "Fourier transform ion cyclotron resonance mass spectrometer (FT-ICRMS) data from seasonal collections, Doboy Sound, Sapelo Island, GA, July and October 2014";
    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.

(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.