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Dataset Title:	[DOS, DOP, DOBr, and DOI depth profiles from BATS and HOT] - Dissolved organic compound (DOS, DOP, DOBr, DOI) depth profiles collected at the Bermuda Atlantic Time Series Station (BATS) in August 2019 and at the Hawaii Ocean Time Series Station Aloha in July 2021 (The fate of lysis products of picocyanobacteria contributes to marine humic-like chromophoric dissolved organic matter)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_986596_v1)
Range:	longitude = -158.0 to -64.16666°E, latitude = 22.75 to 31.83333°N, depth = 5.0 to 4750.0m
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  latitude longitude depth DOS DOP DOBr DOI Y Axis:  latitude longitude depth DOS DOP DOBr DOI Color:  latitude longitude depth DOS DOP DOBr DOI   Constraints Optional Constraint #1 Optional Constraint #2 location start_date latitude longitude depth DOS DOP DOBr DOI     != =~ <= >= = < >     != =~ <= >= = < > location start_date latitude longitude depth DOS DOP DOBr DOI     != =~ <= >= = < >     != =~ <= >= = < > location start_date latitude longitude depth DOS DOP DOBr DOI     != =~ <= >= = < >     != =~ <= >= = < > location start_date latitude longitude depth DOS DOP DOBr DOI     != =~ <= >= = < >     != =~ <= >= = < > location start_date latitude longitude depth DOS DOP DOBr DOI     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" location start_date latitude longitude depth DOS DOP DOBr DOI location start_date latitude longitude depth DOS DOP DOBr DOI location start_date latitude longitude depth DOS DOP DOBr DOI location start_date latitude longitude depth DOS DOP DOBr DOI ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Draw land mask:  under over outline off Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this form )

Click on the map to specify a new center point. Zoom:

 

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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.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  location {
    String long_name "Location";
    String units "unitless";
  }
  start_date {
    String long_name "Start_date";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 22.75, 31.83333;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -158.0, -64.16666;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 5, 4750;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  DOS {
    Float32 actual_range 46.75, 195.48;
    String long_name "Dos";
    String units "nanomolar (nM)";
  }
  DOP {
    Float32 actual_range 5.02, 31.49;
    String long_name "Dop";
    String units "nanomolar (nM)";
  }
  DOBr {
    Float32 actual_range 1.63, 11.33259;
    String long_name "Dobr";
    String units "nanomolar (nM)";
  }
  DOI {
    Float32 actual_range 0.34, 16.64568;
    String long_name "Doi";
    String units "nanomolar (nM)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.986596.1";
    Float64 Easternmost_Easting -64.16666;
    Float64 geospatial_lat_max 31.83333;
    Float64 geospatial_lat_min 22.75;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -64.16666;
    Float64 geospatial_lon_min -158.0;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 4750.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-11-07T16:32:33Z (local files)
2025-11-07T16:32:33Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_986596_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/986596";
    String institution "BCO-DMO";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    Float64 Northernmost_Northing 31.83333;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 22.75;
    String summary "This dataset contains the Dissolved organic sulfur (DOS), dissolved organic phosphorus (DOP), dissolved organic bromine (DOBr) and dissolved organic iodine (DOI) data obtained ICP-MS analysis of solid-phase extracted samples collected at the BATS station (August 2019) and HOT station ALOHA (July 2021). These data are complementary to the fluorescence data set that was sampled at 200 m depth intervals in both the Central North Atlantic (BATS) and Central North Pacific (ALOHA). While the focus of study is to better understand a marine source of fluorescent dissolved organic matter (DOM) (i.e., picocyanobacteria), these data were collected to evaluate whether these heteroatoms within DOM follow the same trends with depth as the fluorescent components determined by parallel factor analysis of 3D fluorescence spectra. Briefly, DOM was isolated by solid phase extraction from 10L seawater samples that were collected from the surface to the seafloor at each station, resulting in 10 mL methanolic extracts for each sample. Extracts were stored at -20 degrees C until analysis in our home laboratory. Portions of these extracts were dried completely and re-dissolved in ultrapure water prior to DOS, DOP, DOBr, or DOI analysis by inductively coupled plasma-mass spectrometry.";
    String title "[DOS, DOP, DOBr, and DOI depth profiles from BATS and HOT] - Dissolved organic compound (DOS, DOP, DOBr, DOI) depth profiles collected at the Bermuda Atlantic Time Series Station (BATS) in August 2019 and at the Hawaii Ocean Time Series Station Aloha in July 2021 (The fate of lysis products of picocyanobacteria contributes to marine humic-like chromophoric dissolved organic matter)";
    Float64 Westernmost_Easting -158.0;
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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.

 

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