ERDDAP > tabledap > Make A Graph

Dataset Title:	IOOS ATN Trackline Database from Core 1 Dump from the Stanford Block Lab
Institution:	IOOS Animal Telemetry Network   (Dataset ID: stanford_import_ssm_public)
Range:	longitude = -179.9715 to 179.9558°E, latitude = -82.44846 to 73.478°N, time = 2002-01-12T05:00:00Z to 2018-01-29T17:55:00Z
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  latitude longitude time event_id topp_id deploy_year time_coverage_start time_coverage_end deployment_date Y Axis:  latitude longitude time event_id topp_id deploy_year time_coverage_start time_coverage_end deployment_date Color:  latitude longitude time event_id topp_id deploy_year time_coverage_start time_coverage_end deployment_date   Constraints Optional Constraint #1 Optional Constraint #2 latitude longitude time genus common_name species event_id workgroup topp_id deploy_year taxon time_coverage_start time_coverage_end deployment_date     != =~ <= >= = < >     != =~ <= >= = < >     latitude longitude time genus common_name species event_id workgroup topp_id deploy_year taxon time_coverage_start time_coverage_end deployment_date     != =~ <= >= = < >     != =~ <= >= = < >     latitude longitude time genus common_name species event_id workgroup topp_id deploy_year taxon time_coverage_start time_coverage_end deployment_date     != =~ <= >= = < >     != =~ <= >= = < >     latitude longitude time genus common_name species event_id workgroup topp_id deploy_year taxon time_coverage_start time_coverage_end deployment_date     != =~ <= >= = < >     != =~ <= >= = < >     latitude longitude time genus common_name species event_id workgroup topp_id deploy_year taxon time_coverage_start time_coverage_end deployment_date     != =~ <= >= = < >     != =~ <= >= = < >       Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" latitude longitude time genus common_name species event_id workgroup topp_id deploy_year taxon time_coverage_start time_coverage_end deployment_date latitude longitude time genus common_name species event_id workgroup topp_id deploy_year taxon time_coverage_start time_coverage_end deployment_date latitude longitude time genus common_name species event_id workgroup topp_id deploy_year taxon time_coverage_start time_coverage_end deployment_date latitude longitude time genus common_name species event_id workgroup topp_id deploy_year taxon time_coverage_start time_coverage_end deployment_date ")   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";
    Float32 _FillValue -9999.0;
    Float32 actual_range -82.448456, 73.478;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    Float32 missing_value -9999.0;
    String standard_name "latitude";
    String units "degrees_north";
    Float32 valid_max 90.0;
    Float32 valid_min -90.0;
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 _FillValue -9999.0;
    Float32 actual_range -179.97151, 179.95583;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    Float32 missing_value -9999.0;
    String standard_name "longitude";
    String units "degrees_east";
    Float32 valid_max 180.0;
    Float32 valid_min -180.0;
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.0108116e+9, 1.5172485e+9;
    String axis "T";
    String calendar "standard";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  genus {
    String ioos_category "Taxonomy";
  }
  common_name {
    String ioos_category "Taxonomy";
  }
  species {
    String ioos_category "Fish Species";
  }
  event_id {
    Int32 actual_range 100200300, 2000000568;
    String cf_role "trajectory_id";
    String ioos_category "Other";
  }
  workgroup {
    String ioos_category "Other";
  }
  topp_id {
    Int32 actual_range 1002003, 9112003;
    String ioos_category "Other";
  }
  deploy_year {
    Int32 actual_range 2002, 2017;
    String ioos_category "Other";
  }
  taxon {
    String ioos_category "Other";
  }
  time_coverage_start {
    String ioos_category "Time";
    String long_name "Time Coverage Start";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  time_coverage_end {
    String ioos_category "Time";
    String long_name "Time Coverage End";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  deployment_date {
    String ioos_category "Time";
    String long_name "Deployment Date";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=1|netcdflibversion=4.6.1|hdf5libversion=1.10.2";
    String acknowledgement "NOAA IOOS,Axiom Data Science,Wildlife Computers,Argos,SMRU,Navy ONR,NOAA NMFS,Stanford Block Lab";
    String cdm_data_type "Trajectory";
    String cdm_trajectory_variables "genus,common_name,species,taxon,event_id,topp_id,deploy_year,workgroup";
    String Conventions "CF-1.6,ACDD-1.3";
    String creator_email "atn@ioos.us";
    String creator_name "IOOS ATN";
    String creator_url "https://atn.ioos.us";
    String date_created "2018-08-09T19:15:00Z";
    String date_modified "2018-08-09T19:15:39Z";
    Float64 Easternmost_Easting 179.9558;
    String featureType "Trajectory";
    Float64 geospatial_lat_max 73.478;
    Float64 geospatial_lat_min -82.44846;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 179.9558;
    Float64 geospatial_lon_min -179.9715;
    String geospatial_lon_units "degrees_east";
    String geospatial_vertical_positive "down";
    String history 
"NetCDF file obtained by IOOS ATN DAC created by a state space model and combined with metadata from the CORE1 database.
2024-05-05T22:06:16Z (local files)
2024-05-05T22:06:16Z http://atn.ioos.us/tabledap/stanford_import_ssm_public.das";
    String infoUrl "https://atn.ioos.us";
    String institution "IOOS Animal Telemetry Network";
    String keywords "argos, atn, dac, data, deployed, event, ioos, profile, telemetry";
    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_Conventions "COARDS, CF-1.6, ACDD-1.3, Unidata Dataset Discovery v1.0";
    String metadata_link "https://ioos.noaa.gov/project/atn/";
    String naming_authority "gov.noaa.ioos.atn";
    String ncei_template_version "NCEI_NetCDF_Trajectory_Template_v2.0";
    Float64 Northernmost_Northing 73.478;
    String project "IOOS Animal Telemetry Network";
    String publisher_email "atn@ioos.us";
    String publisher_name "IOOS ATN";
    String publisher_url "https://atn.ioos.us";
    String source "ATN DAC Block Lab Core 1 data transfer";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -82.44846;
    String standard_name_vocabulary "CF Standard Name Table v57";
    String subsetVariables "genus,common_name,species,taxon,event_id,topp_id,deploy_year,workgroup";
    String summary "Animal tracklines as a product of processing and cross referencing data in the Core 1/2 IOOS ATN databases";
    String time_coverage_duration "P170D";
    String time_coverage_end "2018-01-29T17:55:00Z";
    String time_coverage_start "2002-01-12T05:00:00Z";
    String title "IOOS ATN Trackline Database from Core 1 Dump from the Stanford Block Lab";
    Float64 Westernmost_Easting -179.9715;
  }
}

 

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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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