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Dataset Title:	[Water column geochemical composition] - Geochemical composition of water column samples collected in the Equatorial Pacific during October and November 2020 on R/V Kilo Moana cruise KM2012 (Collaborative Research: How and Why eNd Tracks Ocean Circulation)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_928152_v1)
Range:	longitude = -152.0 to -152.0°E, depth = 40.6 to 5475.0m
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  Latitude longitude bottom_depth depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM Y Axis:  Latitude longitude bottom_depth depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM Color:  Latitude longitude bottom_depth depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM   Constraints Optional Constraint #1 Optional Constraint #2 Station_Number Latitude longitude Date bottom_depth sample_name depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM     != =~ <= >= = < >     != =~ <= >= = < > Station_Number Latitude longitude Date bottom_depth sample_name depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM     != =~ <= >= = < >     != =~ <= >= = < > Station_Number Latitude longitude Date bottom_depth sample_name depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM     != =~ <= >= = < >     != =~ <= >= = < > Station_Number Latitude longitude Date bottom_depth sample_name depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM     != =~ <= >= = < >     != =~ <= >= = < > Station_Number Latitude longitude Date bottom_depth sample_name depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Station_Number Latitude longitude Date bottom_depth sample_name depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM Station_Number Latitude longitude Date bottom_depth sample_name depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM Station_Number Latitude longitude Date bottom_depth sample_name depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM Station_Number Latitude longitude Date bottom_depth sample_name depth La_pM Ce_pM Pr_pM Nd_pM Sm_pM Eu_pM Gd_pM Tb_pM Dy_pM Ho_pM Er_pM Tm_pM Yb_pM Lu_pM Co_nM Ni_nM Cu_nM Zn_nM Mo_nM Pb_nM U_nM Nd143_Nd144_ratio SD2_int_1 eNd SD2_int_2 pH NO3_NO2_uM PO4_uM Si_uM ")   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 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 )

 

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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 {
  Station_Number {
    String long_name "Station_number";
    String units "unitless";
  }
  Latitude {
    Int32 actual_range 3, 11;
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Int32 actual_range -152, -152;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  bottom_depth {
    Int32 actual_range 5050, 5502;
    String long_name "Bottom_depth";
    String units "meters (m)";
  }
  sample_name {
    String long_name "Sample_name";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 40.6, 5475.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  La_pM {
    Float32 actual_range 5.51, 53.84;
    String long_name "La_pm";
    String units "picomolar (pmol/L)";
  }
  Ce_pM {
    Float32 actual_range 2.06, 7.92;
    String long_name "Ce_pm";
    String units "picomolar (pmol/L)";
  }
  Pr_pM {
    Float32 actual_range 1.06, 8.82;
    String long_name "Pr_pm";
    String units "picomolar (pmol/L)";
  }
  Nd_pM {
    Float32 actual_range 5.43, 38.09;
    String long_name "Nd_pm";
    String units "picomolar (pmol/L)";
  }
  Sm_pM {
    Float32 actual_range 1.1, 6.69;
    String long_name "Sm_pm";
    String units "picomolar (pmol/L)";
  }
  Eu_pM {
    Float32 actual_range 0.31, 1.75;
    String long_name "Eu_pm";
    String units "picomolar (pmol/L)";
  }
  Gd_pM {
    Float32 actual_range 1.77, 9.99;
    String long_name "Gd_pm";
    String units "picomolar (pmol/L)";
  }
  Tb_pM {
    Float32 actual_range 0.28, 1.47;
    String long_name "Tb_pm";
    String units "picomolar (pmol/L)";
  }
  Dy_pM {
    Float32 actual_range 2.1, 11.27;
    String long_name "Dy_pm";
    String units "picomolar (pmol/L)";
  }
  Ho_pM {
    Float32 actual_range 0.56, 3.08;
    String long_name "Ho_pm";
    String units "picomolar (pmol/L)";
  }
  Er_pM {
    Float32 actual_range 1.78, 10.62;
    String long_name "Er_pm";
    String units "picomolar (pmol/L)";
  }
  Tm_pM {
    Float32 actual_range 0.25, 1.61;
    String long_name "Tm_pm";
    String units "picomolar (pmol/L)";
  }
  Yb_pM {
    Float32 actual_range 1.41, 9.8;
    String long_name "Yb_pm";
    String units "picomolar (pmol/L)";
  }
  Lu_pM {
    Float32 actual_range 0.22, 2.04;
    String long_name "Lu_pm";
    String units "picomolar (pmol/L)";
  }
  Co_nM {
    Float32 actual_range 0.01, 3.41;
    String long_name "Co_nm";
    String units "nanomolar (nmol/L)";
  }
  Ni_nM {
    Float32 actual_range 2.43, 10.54;
    String long_name "Ni_nm";
    String units "nanomolar (nmol/L)";
  }
  Cu_nM {
    Float32 actual_range 0.0, 12.45;
    String long_name "Cu_nm";
    String units "nanomolar (nmol/L)";
  }
  Zn_nM {
    Float32 actual_range 0.0, 19.34;
    String long_name "Zn_nm";
    String units "nanomolar (nmol/L)";
  }
  Mo_nM {
    Float32 actual_range 84.52, 151.64;
    String long_name "Mo_nm";
    String units "nanomolar (nmol/L)";
  }
  Pb_nM {
    Float32 actual_range 0.0, 0.32;
    String long_name "Pb_nm";
    String units "nanomolar (nmol/L)";
  }
  U_nM {
    Float32 actual_range 2.3, 11.57;
    String long_name "U_nm";
    String units "nanomolar (nmol/L)";
  }
  Nd143_Nd144_ratio {
    Float32 actual_range 0.512384, 0.512404;
    String long_name "Nd143_nd144_ratio";
    String units "unitless";
  }
  SD2_int_1 {
    Float32 actual_range 1.3e-5, 1.6e-5;
    String long_name "Sd2_int_1";
    String units "unitless";
  }
  eNd {
    Float32 actual_range -4.93, -4.59;
    String long_name "End";
    String units "unitless";
  }
  SD2_int_2 {
    Float32 actual_range 0.18, 0.22;
    String long_name "Sd2_int_2";
    String units "unitless";
  }
  pH {
    Float32 actual_range 7.6, 7.9;
    String long_name "Ph";
    String units "unitless";
  }
  NO3_NO2_uM {
    Float32 actual_range 35.4, 40.23;
    String long_name "No3_no2_um";
    String units "micromolar (umol/L)";
  }
  PO4_uM {
    Float32 actual_range 2.2, 2.48;
    String long_name "Po4_um";
    String units "micromolar (umol/L)";
  }
  Si_uM {
    Float32 actual_range 131.11, 133.82;
    String long_name "Si_um";
    String units "micromolar (umol/L)";
  }
 }
  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.928152.1";
    Float64 Easternmost_Easting -152.0;
    Float64 geospatial_lon_max -152.0;
    Float64 geospatial_lon_min -152.0;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5475.0;
    Float64 geospatial_vertical_min 40.6;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-12-03T17:25:53Z (local files)
2024-12-03T17:25:53Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_928152_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/928152";
    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.";
    String sourceUrl "(local files)";
    String summary "Water column, sediment, and pore water samples were collected during R/V Kilo Moana cruise KM2012 in the Equatorial Pacific during October and November 2020. This dataset includes elemental concentrations, Neodymium isotope ratios, pH, and nutrients from the water column samples.";
    String title "[Water column geochemical composition] - Geochemical composition of water column samples collected in the Equatorial Pacific during October and November 2020 on R/V Kilo Moana cruise KM2012 (Collaborative Research: How and Why eNd Tracks Ocean Circulation)";
    Float64 Westernmost_Easting -152.0;
  }
}

 

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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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