ERDDAP > tabledap > Make A Graph

Dataset Title:	PIRS Project Data
Institution:	Marine Institute   (Dataset ID: pirs_project_data)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Data Access Form

 

Graph Type:  lines linesAndMarkers markers X Axis:  latitude longitude time Y Axis:  latitude longitude time Color:  latitude longitude time   Constraints Optional Constraint #1 Optional Constraint #2 latitude longitude time project_id year_awarded agreed_duration_months primary_research_theme secondary_research_theme project_name lead_institution partner_institutions funding_programme lead_funder co_funders award_type awardee_type project_grant_aid     != =~ <= >= = < >     != =~ <= >= = < >     latitude longitude time project_id year_awarded agreed_duration_months primary_research_theme secondary_research_theme project_name lead_institution partner_institutions funding_programme lead_funder co_funders award_type awardee_type project_grant_aid     != =~ <= >= = < >     != =~ <= >= = < >     latitude longitude time project_id year_awarded agreed_duration_months primary_research_theme secondary_research_theme project_name lead_institution partner_institutions funding_programme lead_funder co_funders award_type awardee_type project_grant_aid     != =~ <= >= = < >     != =~ <= >= = < >     latitude longitude time project_id year_awarded agreed_duration_months primary_research_theme secondary_research_theme project_name lead_institution partner_institutions funding_programme lead_funder co_funders award_type awardee_type project_grant_aid     != =~ <= >= = < >     != =~ <= >= = < >     latitude longitude time project_id year_awarded agreed_duration_months primary_research_theme secondary_research_theme project_name lead_institution partner_institutions funding_programme lead_funder co_funders award_type awardee_type project_grant_aid     != =~ <= >= = < >     != =~ <= >= = < >       Server-side Functions  distinct() orderBy orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean (" latitude longitude time project_id year_awarded agreed_duration_months primary_research_theme secondary_research_theme project_name lead_institution partner_institutions funding_programme lead_funder co_funders award_type awardee_type project_grant_aid latitude longitude time project_id year_awarded agreed_duration_months primary_research_theme secondary_research_theme project_name lead_institution partner_institutions funding_programme lead_funder co_funders award_type awardee_type project_grant_aid latitude longitude time project_id year_awarded agreed_duration_months primary_research_theme secondary_research_theme project_name lead_institution partner_institutions funding_programme lead_funder co_funders award_type awardee_type project_grant_aid latitude longitude time project_id year_awarded agreed_duration_months primary_research_theme secondary_research_theme project_name lead_institution partner_institutions funding_programme lead_funder co_funders award_type awardee_type project_grant_aid ")   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:  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 {
  latitude {
    String _CoordinateAxisType "Lat";
    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";
    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";
  }
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String ioos_category "Time";
    String long_name "Timestamp";
    String source_name "timestamp";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  project_id {
    String ioos_category "Identifier";
    String long_name "Project Id";
  }
  year_awarded {
    String ioos_category "Time";
    String long_name "Year Awarded";
  }
  agreed_duration_months {
    String ioos_category "Time";
    String long_name "Agreed Duration Months";
  }
  primary_research_theme {
    String ioos_category "Unknown";
    String long_name "Primary Research Theme";
  }
  secondary_research_theme {
    String ioos_category "Unknown";
    String long_name "Secondary Research Theme";
  }
  project_name {
    String ioos_category "Identifier";
    String long_name "Project Name";
  }
  lead_institution {
    String ioos_category "Unknown";
    String long_name "Lead Institution";
  }
  partner_institutions {
    String ioos_category "Unknown";
    String long_name "Partner Institutions";
  }
  funding_programme {
    String ioos_category "Unknown";
    String long_name "Funding Programme";
  }
  lead_funder {
    String ioos_category "Unknown";
    String long_name "Lead Funder";
  }
  co_funders {
    String ioos_category "Unknown";
    String long_name "Co Funders";
  }
  award_type {
    String ioos_category "Unknown";
    String long_name "Award Type";
  }
  awardee_type {
    String ioos_category "Unknown";
    String long_name "Awardee Type";
  }
  project_grant_aid {
    String ioos_category "Identifier";
    String long_name "Project Grant Aid";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Marine Institute";
    String creator_type "person";
    String creator_url "http://marine.ie/";
    String featureType "Point";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_units "degrees_east";
    String history 
"2024-04-20T00:11:33Z (source database)
2024-04-20T00:11:33Z https://erddap.marine.ie/tabledap/pirs_project_data.das";
    String infoUrl "http://marine.ie/";
    String institution "Marine Institute";
    String keywords "agreed, agreed_duration_months, aid, award, award_type, awarded, co_funders, data, duration, funder, funders, grant, identifier, institute, institution, institutions, latitude, lead, lead_funder, lead_institution, longitude, marine, months, name, partner, partner_institutions, pirs, primary, primary_research_theme, project, project_grant_aid, project_id, project_name, research, secondary, secondary_research_theme, theme, time, timestamp, type, year, year_awarded";
    String license "Creative Commons Attribution 4.0 (https://creativecommons.org/licenses/by/4.0/)";
    String sourceUrl "(source database)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "lead_institution";
    String summary "PIRS Project Data. Marine Institute data from a local source.";
    String title "PIRS Project Data";
  }
}

 

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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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