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Dataset Title:	[AE1913 Macronutrients, dissolved and particulate trace metals] - Macronutrients and dissolved and particulate trace metals collected from the R/ V Atlantic Explorer cruise AE1913 in the Sargasso Sea in June of 2019 (Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_916429_v1)
Range:	longitude = -71.12321 to -64.16629°E, depth = 10.0 to 1500.0m, time = 2019-06-16T20:45:00Z to 2019-06-27T19:20:00Z
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  Station longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd Y Axis:  Station longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd Color:  Station longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd   Constraints Optional Constraint #1 Optional Constraint #2 Station Latitude longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd     != =~ <= >= = < >     != =~ <= >= = < > Station Latitude longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd     != =~ <= >= = < >     != =~ <= >= = < > Station Latitude longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd     != =~ <= >= = < >     != =~ <= >= = < > Station Latitude longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd     != =~ <= >= = < >     != =~ <= >= = < > Station Latitude longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Station Latitude longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd Station Latitude longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd Station Latitude longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd Station Latitude longitude depth time DateTime_recover dFe dFeFlag dZn dZnFlag dCd dCdFlag dNi dNiFlag dCu dCuFlag dMn dMnFlag PO4 NO2_NO3 Si NO2 NH4 pMn pFe pNi pCu pZn pCd ")   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 )

Time range:  1 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 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 second(s) minute(s) hour(s) day(s) month(s) year(s)

 

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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 {
    Int32 actual_range 1, 9;
    String long_name "Station";
    String units "unitless";
  }
  Latitude {
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -71.12321, -64.16629;
    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 10, 1500;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5607179e+9, 1.5616632e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Datetime_deploy";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  DateTime_recover {
    Float64 actual_range 1.56072126e+9, 1.56167694e+9;
    String ioos_category "Time";
    String long_name "Datetime_recover";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  dFe {
    Float32 actual_range 0.09, 3.95;
    String long_name "Dfe";
    String units "nanomolar (nM)";
  }
  dFeFlag {
    Int32 actual_range 1, 6;
    String long_name "Dfeflag";
    String units "unitless";
  }
  dZn {
    Float32 actual_range 0.26, 13.96;
    String long_name "Dzn";
    String units "nanomolar (nM)";
  }
  dZnFlag {
    Int32 actual_range 1, 6;
    String long_name "Dznflag";
    String units "unitless";
  }
  dCd {
    Float32 actual_range 0.0013, 0.394;
    String long_name "Dcd";
    String units "nanomolar (nM)";
  }
  dCdFlag {
    Int32 actual_range 1, 6;
    String long_name "Dcdflag";
    String units "unitless";
  }
  dNi {
    Float32 actual_range 1.87, 4.27;
    String long_name "Dni";
    String units "nanomolar (nM)";
  }
  dNiFlag {
    Int32 actual_range 1, 1;
    String long_name "Dniflag";
    String units "unitless";
  }
  dCu {
    Float32 actual_range 0.62, 1.84;
    String long_name "Dcu";
    String units "nanomolar (nM)";
  }
  dCuFlag {
    Int32 actual_range 1, 1;
    String long_name "Dcuflag";
    String units "unitless";
  }
  dMn {
    Float32 actual_range 0.1, 5.92;
    String long_name "Dmn";
    String units "nanomolar (nM)";
  }
  dMnFlag {
    Int32 actual_range 1, 1;
    String long_name "Dmnflag";
    String units "unitless";
  }
  PO4 {
    Float32 actual_range 0.1, 1.84;
    String long_name "Po4";
    String units "micromolar (uM)";
  }
  NO2_NO3 {
    Float32 actual_range 0.0, 26.2;
    String long_name "No2_no3";
    String units "micromolar (uM)";
  }
  Si {
    Float32 actual_range 0.0, 15.1;
    String long_name "Si";
    String units "micromolar (uM)";
  }
  NO2 {
    Float32 actual_range 0.0, 0.16;
    String long_name "No2";
    String units "micromolar (uM)";
  }
  NH4 {
    Float32 actual_range 0.0, 0.51;
    String long_name "Nh4";
    String units "micromolar (uM)";
  }
  pMn {
    Float32 actual_range 1.75, 109.25;
    String long_name "Pmn";
    String units "picomolar (pM)";
  }
  pFe {
    Float32 actual_range -20.45, 567.92;
    String long_name "Pfe";
    String units "picomolar (pM)";
  }
  pNi {
    Float32 actual_range 0.09, 13.19;
    String long_name "Pni";
    String units "picomolar (pM)";
  }
  pCu {
    Float32 actual_range 2.42, 62.41;
    String long_name "Pcu";
    String units "picomolar (pM)";
  }
  pZn {
    Float32 actual_range -50.69, 121.74;
    String long_name "Pzn";
    String units "picomolar (pM)";
  }
  pCd {
    Float32 actual_range 0.02, 3.19;
    String long_name "Pcd";
    String units "picomolar (pM)";
  }
 }
  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.916429.1";
    Float64 Easternmost_Easting -64.16629;
    Float64 geospatial_lon_max -64.16629;
    Float64 geospatial_lon_min -71.12321;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1500.0;
    Float64 geospatial_vertical_min 10.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T05:51:08Z (local files)
2024-11-08T05:51:08Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_916429_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/916429";
    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 "This data includes macronutrients and dissolved and particulate trace metals collected from the AE1913 expedition on the R/V Atlantic Explorer in June 2019. Seawater was collected with a trace metal rosette and filtered through a 0.2 um filter. Filtrate was used for nutrients and dissolved trace metals, and the filter was saved for the particulate metal analysis at select sites. Instruments used were a Alpkem Rapid Flow Analyzer, Technicon AutoAnalyzer II, and iCAP Q inductively coupled plasma mass spectrometer (ICP-MS). The goal of this analysis was to explore the relationship between trace metal/macronutrient availability and microbial metabolism across a section of the North Atlantic Ocean. This data was collected by Mak Saito and Natalie Cohen.";
    String time_coverage_end "2019-06-27T19:20:00Z";
    String time_coverage_start "2019-06-16T20:45:00Z";
    String title "[AE1913 Macronutrients, dissolved and particulate trace metals] - Macronutrients and dissolved and particulate trace metals collected from the R/V Atlantic Explorer cruise AE1913 in the Sargasso Sea in June of 2019 (Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV)";
    Float64 Westernmost_Easting -71.12321;
  }
}

 

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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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