ERDDAP > tabledap > Make A Graph

Dataset Title:	Data from a local source.
Institution:	???   (Dataset ID: marine_debris_d788_3bfe_d2a1)
Range:	time = 2023-05-12T09:20:00Z to 2023-10-24T08:26:00Z
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  LFA time hail_in_time beaufort_scale gear_weight_kg gear_length_ft tag_age number_of_biofoul gear_degradation Y Axis:  LFA time hail_in_time beaufort_scale gear_weight_kg gear_length_ft tag_age number_of_biofoul gear_degradation Color:  LFA time hail_in_time beaufort_scale gear_weight_kg gear_length_ft tag_age number_of_biofoul gear_degradation   Constraints Optional Constraint #1 Optional Constraint #2 tech_name license_number region LFA Location compound time hail_in_time beaufort_scale lat_in lon_in lat_out lon_out retrieved_gear gear_type gear_weight_kg gear_length_ft tagged_Y_N tag_number tag_colour tag_year tag_age buoyancy_Y_N reuseable_Y_N escape_panel_Y_N escape_panel_functional_Y_N_NA number_of_biofoul gear_degradation trap_compounded_Y_N gear_repurposed_Y_N final_location notes     != =~ <= >= = < >     != =~ <= >= = < > tech_name license_number region LFA Location compound time hail_in_time beaufort_scale lat_in lon_in lat_out lon_out retrieved_gear gear_type gear_weight_kg gear_length_ft tagged_Y_N tag_number tag_colour tag_year tag_age buoyancy_Y_N reuseable_Y_N escape_panel_Y_N escape_panel_functional_Y_N_NA number_of_biofoul gear_degradation trap_compounded_Y_N gear_repurposed_Y_N final_location notes     != =~ <= >= = < >     != =~ <= >= = < > tech_name license_number region LFA Location compound time hail_in_time beaufort_scale lat_in lon_in lat_out lon_out retrieved_gear gear_type gear_weight_kg gear_length_ft tagged_Y_N tag_number tag_colour tag_year tag_age buoyancy_Y_N reuseable_Y_N escape_panel_Y_N escape_panel_functional_Y_N_NA number_of_biofoul gear_degradation trap_compounded_Y_N gear_repurposed_Y_N final_location notes     != =~ <= >= = < >     != =~ <= >= = < > tech_name license_number region LFA Location compound time hail_in_time beaufort_scale lat_in lon_in lat_out lon_out retrieved_gear gear_type gear_weight_kg gear_length_ft tagged_Y_N tag_number tag_colour tag_year tag_age buoyancy_Y_N reuseable_Y_N escape_panel_Y_N escape_panel_functional_Y_N_NA number_of_biofoul gear_degradation trap_compounded_Y_N gear_repurposed_Y_N final_location notes     != =~ <= >= = < >     != =~ <= >= = < > tech_name license_number region LFA Location compound time hail_in_time beaufort_scale lat_in lon_in lat_out lon_out retrieved_gear gear_type gear_weight_kg gear_length_ft tagged_Y_N tag_number tag_colour tag_year tag_age buoyancy_Y_N reuseable_Y_N escape_panel_Y_N escape_panel_functional_Y_N_NA number_of_biofoul gear_degradation trap_compounded_Y_N gear_repurposed_Y_N final_location notes     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" tech_name license_number region LFA Location compound time hail_in_time beaufort_scale lat_in lon_in lat_out lon_out retrieved_gear gear_type gear_weight_kg gear_length_ft tagged_Y_N tag_number tag_colour tag_year tag_age buoyancy_Y_N reuseable_Y_N escape_panel_Y_N escape_panel_functional_Y_N_NA number_of_biofoul gear_degradation trap_compounded_Y_N gear_repurposed_Y_N final_location notes tech_name license_number region LFA Location compound time hail_in_time beaufort_scale lat_in lon_in lat_out lon_out retrieved_gear gear_type gear_weight_kg gear_length_ft tagged_Y_N tag_number tag_colour tag_year tag_age buoyancy_Y_N reuseable_Y_N escape_panel_Y_N escape_panel_functional_Y_N_NA number_of_biofoul gear_degradation trap_compounded_Y_N gear_repurposed_Y_N final_location notes tech_name license_number region LFA Location compound time hail_in_time beaufort_scale lat_in lon_in lat_out lon_out retrieved_gear gear_type gear_weight_kg gear_length_ft tagged_Y_N tag_number tag_colour tag_year tag_age buoyancy_Y_N reuseable_Y_N escape_panel_Y_N escape_panel_functional_Y_N_NA number_of_biofoul gear_degradation trap_compounded_Y_N gear_repurposed_Y_N final_location notes tech_name license_number region LFA Location compound time hail_in_time beaufort_scale lat_in lon_in lat_out lon_out retrieved_gear gear_type gear_weight_kg gear_length_ft tagged_Y_N tag_number tag_colour tag_year tag_age buoyancy_Y_N reuseable_Y_N escape_panel_Y_N escape_panel_functional_Y_N_NA number_of_biofoul gear_degradation trap_compounded_Y_N gear_repurposed_Y_N final_location notes ")   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 EK80  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 {
  tech_name {
    String ioos_category "Unknown";
    String long_name "Tech Name";
  }
  license_number {
    String ioos_category "Statistics";
    String long_name "License Number";
  }
  region {
    String ioos_category "Location";
    String long_name "Region";
  }
  LFA {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 12, 34;
    String ioos_category "Unknown";
    String long_name "LFA";
  }
  Location {
    String ioos_category "Location";
    String long_name "Location";
  }
  compound {
    String ioos_category "Unknown";
    String long_name "Compound";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6838832e+9, 1.69813596e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Hail Out Time";
    String source_name "hail_out_time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  hail_in_time {
    Float64 actual_range 1.6839054e+9, 1.698162e+9;
    String ioos_category "Time";
    String long_name "Hail In Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  beaufort_scale {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 5;
    String ioos_category "Unknown";
    String long_name "Beaufort Scale";
  }
  lat_in {
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  lon_in {
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  lat_out {
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  lon_out {
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  retrieved_gear {
    String ioos_category "Unknown";
    String long_name "Retrieved Gear";
  }
  gear_type {
    String ioos_category "Unknown";
    String long_name "Gear Type";
  }
  gear_weight_kg {
    Float32 _FillValue NaN;
    Float32 actual_range 1.0e-4, 389.2;
    String ioos_category "Unknown";
    String long_name "Gear Weight Kg";
  }
  gear_length_ft {
    Float32 _FillValue NaN;
    Float32 actual_range 1.0, 4455.0;
    String ioos_category "Unknown";
    String long_name "Gear Length Ft";
  }
  tagged_Y_N {
    String ioos_category "Statistics";
    String long_name "Tagged Y N";
  }
  tag_number {
    String ioos_category "Statistics";
    String long_name "Tag Number";
  }
  tag_colour {
    String ioos_category "Unknown";
    String long_name "Tag Colour";
  }
  tag_year {
    String ioos_category "Time";
    String long_name "Tag Year";
  }
  tag_age {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 37;
    String ioos_category "Time";
    String long_name "Tag Age";
  }
  buoyancy_Y_N {
    String ioos_category "Statistics";
    String long_name "Buoyancy Y N";
  }
  reuseable_Y_N {
    String ioos_category "Statistics";
    String long_name "Reuseable Y N";
  }
  escape_panel_Y_N {
    String ioos_category "Statistics";
    String long_name "Escape Panel Y N";
  }
  escape_panel_functional_Y_N_NA {
    String ioos_category "Statistics";
    String long_name "Escape Panel Functional Y N NA";
  }
  number_of_biofoul {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 9;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Number Of Biofoul";
  }
  gear_degradation {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 4;
    String ioos_category "Unknown";
    String long_name "Gear Degradation";
  }
  trap_compounded_Y_N {
    String ioos_category "Statistics";
    String long_name "Trap Compounded Y N";
  }
  gear_repurposed_Y_N {
    String ioos_category "Statistics";
    String long_name "Gear Repurposed Y N";
  }
  final_location {
    String ioos_category "Location";
    String long_name "Final Location";
  }
  notes {
    String ioos_category "Unknown";
    String long_name "Notes";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String history 
"2026-05-01T16:14:08Z (local files)
2026-05-01T16:14:08Z https://dev.cioosatlantic.ca/tabledap/marine_debris_d788_3bfe_d2a1.das";
    String infoUrl "???";
    String institution "???";
    String keywords "age, beaufort, beaufort_scale, biofoul, buoyancy, buoyancy_Y_N, colour, compound, compounded, data, degradation, escape, escape_panel_functional_Y_N_NA, escape_panel_Y_N, final, final_location, functional, gear, gear_degradation, gear_length_ft, gear_repurposed_Y_N, gear_type, gear_weight_kg, hail, hail_in_time, lat_in, lat_out, latitude, length, lfa, license, license_number, local, Location, lon_in, lon_out, longitude, name, notes, number, number_of_biofoul, out, panel, region, repurposed, retrieved, retrieved_gear, reuseable, reuseable_Y_N, scale, source, statistics, tag, tag_age, tag_colour, tag_number, tag_year, tagged, tagged_Y_N, tech, tech_name, time, trap, trap_compounded_Y_N, type, weight, year";
    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 standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Data from a local source.";
    String time_coverage_end "2023-10-24T08:26:00Z";
    String time_coverage_start "2023-05-12T09:20:00Z";
    String title "Data from a local source.";
  }
}

 

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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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