ERDDAP > tabledap > Make A Graph

Dataset Title:	[EcoMon Plankton 100m3] - EcoMon plankton counts (100-m3) from Bongo tows, including MARMAP data multiple cruises in the Northeast Continental Shelf of the United States from 1977-2015 (EcoMon Zooplankton project) (EcoMon Zooplankton)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_3328)
Range:	longitude = -75.97 to -63.6°E, latitude = 34.4667 to 44.77°N, depth = 7.0 to 9999.0m
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Data Access Form

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  year station date month day latitude longitude depth sfc_temp sfc_salt btm_temp btm_salt volume_100m3 count Y Axis:  year station date month day latitude longitude depth sfc_temp sfc_salt btm_temp btm_salt volume_100m3 count Color:  year station date month day latitude longitude depth sfc_temp sfc_salt btm_temp btm_salt volume_100m3 count   Constraints Optional Constraint #1 Optional Constraint #2 year cruiseid station date month day time2 latitude longitude depth zoo_gear ich_gear sfc_temp sfc_salt btm_temp btm_salt volume_100m3 taxon count     != =~ <= >= = < >     != =~ <= >= = < >     year cruiseid station date month day time2 latitude longitude depth zoo_gear ich_gear sfc_temp sfc_salt btm_temp btm_salt volume_100m3 taxon count     != =~ <= >= = < >     != =~ <= >= = < >     year cruiseid station date month day time2 latitude longitude depth zoo_gear ich_gear sfc_temp sfc_salt btm_temp btm_salt volume_100m3 taxon count     != =~ <= >= = < >     != =~ <= >= = < >     year cruiseid station date month day time2 latitude longitude depth zoo_gear ich_gear sfc_temp sfc_salt btm_temp btm_salt volume_100m3 taxon count     != =~ <= >= = < >     != =~ <= >= = < >     year cruiseid station date month day time2 latitude longitude depth zoo_gear ich_gear sfc_temp sfc_salt btm_temp btm_salt volume_100m3 taxon count     != =~ <= >= = < >     != =~ <= >= = < >       Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" year cruiseid station date month day time2 latitude longitude depth zoo_gear ich_gear sfc_temp sfc_salt btm_temp btm_salt volume_100m3 taxon count year cruiseid station date month day time2 latitude longitude depth zoo_gear ich_gear sfc_temp sfc_salt btm_temp btm_salt volume_100m3 taxon count year cruiseid station date month day time2 latitude longitude depth zoo_gear ich_gear sfc_temp sfc_salt btm_temp btm_salt volume_100m3 taxon count year cruiseid station date month day time2 latitude longitude depth zoo_gear ich_gear sfc_temp sfc_salt btm_temp btm_salt volume_100m3 taxon count ")   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 {
  year {
    Int16 actual_range 1977, 2015;
    String long_name "Year";
  }
  cruiseid {
    String long_name "Cruiseid";
  }
  station {
    Int16 actual_range 1, 9278;
    String long_name "Station";
  }
  date {
    Float64 actual_range 2.2464e+8, 1.4465952e+9;
    String ioos_category "Time";
    String long_name "Date";
    String source_name "date";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  month {
    String _Unsigned "false";
    Byte actual_range 1, 12;
    String long_name "Month";
  }
  day {
    String _Unsigned "false";
    Byte actual_range 1, 31;
    String long_name "Day";
  }
  time2 {
    String long_name "Time";
    String standard_name "time";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 34.4667, 44.77;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -75.97, -63.6;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int16 actual_range 7, 9999;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  zoo_gear {
    String long_name "Zoo Gear";
  }
  ich_gear {
    String long_name "Ich Gear";
  }
  sfc_temp {
    Float32 _FillValue NaN;
    Float32 actual_range -0.53, 28.34;
    String long_name "Sfc Temp";
  }
  sfc_salt {
    Float32 _FillValue NaN;
    Float32 actual_range 19.294, 36.454;
    String long_name "Sfc Salt";
  }
  btm_temp {
    Float32 _FillValue NaN;
    Float32 actual_range 0.17, 28.03;
    String long_name "Btm Temp";
  }
  btm_salt {
    Float32 _FillValue NaN;
    Float32 actual_range 23.52, 36.972;
    String long_name "Btm Salt";
  }
  volume_100m3 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 2454.0;
    String long_name "Volume 100m3";
  }
  taxon {
    String long_name "Taxon";
  }
  count {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 32766;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Count";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String date_created "2010-08-09T12:51:14Z";
    String date_modified "2021-02-24T20:22:44Z";
    String defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.3328.3.1";
    Float64 Easternmost_Easting -63.6;
    Float64 geospatial_lat_max 44.77;
    Float64 geospatial_lat_min 34.4667;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -63.6;
    Float64 geospatial_lon_min -75.97;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 9999.0;
    Float64 geospatial_vertical_min 7.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T05:47:53Z (local files)
2024-11-08T05:47:53Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3328.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3328";
    String institution "BCO-DMO";
    String keywords "100m3, btm, btm_salt, btm_temp, count, cruiseid, data, date, day, depth, gear, ich, ich_gear, latitude, local, longitude, month, salt, sfc, sfc_salt, sfc_temp, source, station, taxon, tempe\\nrature, time, volume, volume_100m3, year, zoo, zoo_gear";
    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 metadata_source "https://www.bco-dmo.org/api/dataset/3328";
    Float64 Northernmost_Northing 44.77;
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3328/parameters";
    String project "EcoMon Zooplankton";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 34.4667;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "year, cruiseid, station, taxon";
    String summary "EcoMon plankton counts from Bongo tows. Includes MARMAP data.";
    String title "[EcoMon Plankton 100m3] - EcoMon plankton counts (100-m3) from Bongo tows, including MARMAP data multiple cruises in the Northeast Continental Shelf of the United States from 1977-2015 (EcoMon Zooplankton project) (EcoMon Zooplankton)";
    String version "3.1";
    Float64 Westernmost_Easting -75.97;
    String xml_source "handmade";
  }
}

 

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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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