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Dataset Title:	Fixed gears: Oceanographic data from fishing vessels
Institution:	Berring Data Collective (Dataset ID: BDC_FixedGear_FV_NRT)
Range:	longitude = -21.146 to 12.6384°E, latitude = 55.8694 to 68.3495°N, depth = 1.025 to 632.8m, time = 2019-05-16T03:55:03Z to 2020-10-23T07:25:14Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form

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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.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.557978903e+9, 1.603437914e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Datetime";
    String source_name "datetime";
    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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 55.8694, 68.3495;
    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 -21.146, 12.6384;
    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";
    Float32 actual_range 1.025, 632.8;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 0.481283, 22.5453;
    Float64 colorBarMaximum 25.0;
    Float64 colorBarMinimum -4.0;
    String ioos_category "Temperature";
    String long_name "Temperature";
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  salinity {
    Float32 _FillValue NaN;
    Float32 actual_range 8.786, 32.2254;
    Float64 colorBarMaximum 36.0;
    Float64 colorBarMinimum 32.0;
    String ioos_category "Salinity";
    String long_name "Sea Water Practical Salinity";
    String standard_name "sea_water_practical_salinity";
    String units "PSU";
  }
  sensor_type {
    String conventions "SensorML";
    String ioos_category "Unknown";
    String long_name "Sensor Type";
    String metadata_link "https://berringdatacollective.com/oceanography/";
  }
  vessel_gear_type {
    String conventions "ISSCFG";
    String ioos_category "Unknown";
    String long_name "Fishing Gear Used as a Sensor Platform";
    String metadata_link "http://www.fao.org/3/a-bt987e.pdf";
  }
  data_collection_program {
    String ioos_category "Unknown";
    String long_name "Data Collection Program or Industry Body";
  }
  vessel_id {
    Int32 actual_range 6, 63;
    String ioos_category "Identifier";
    String long_name "Confidential Unique Vessel Identifier";
  }
  tow_id {
    Int32 actual_range 1765, 15867;
    String ioos_category "Identifier";
    String long_name "Unique Fishing Operation Identifier";
  }
  segment_type {
    String conventions "Fishing: bottom data; Profiling Down: gear being set; Profiling Up; gear being hauled";
    String ioos_category "Unknown";
    String long_name "Fishing Stage When Data is Collected";
    String metadata_link "https://berringdatacollective.com/oceanography/";
  }
  platform_code {
    String ioos_category "Unknown";
    String long_name "Platform Code";
  }
  platform_name {
    String ioos_category "Unknown";
    String long_name "Platform Name";
  }
  DOI {
    String ioos_category "Unknown";
    String long_name "Digital Object Identifier";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Point";
    String Conventions "COARDS, CF-1.6, ACDD-1.3, ISSCFG, NCCSV-1.0";
    Float64 Easternmost_Easting 12.6384;
    String featureType "Point";
    Float64 geospatial_lat_max 68.3495;
    Float64 geospatial_lat_min 55.8694;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 12.6384;
    Float64 geospatial_lon_min -21.146;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 632.8;
    Float64 geospatial_vertical_min 1.025;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2020-10-24T05:31:14Z (local files)
2020-10-24T05:31:14Z https://erddap.emodnet-physics.eu/tabledap/BDC_FixedGear_FV_NRT.das";
    String infoUrl "https://berringdatacollective.com/oceanography/";
    String institution "Berring Data Collective";
    String keywords "arctic, citizen science, citizen_science, data, Earth Science > Oceans > Salinity/Density > Salinity, fish, fishing, gear, in-situ, industry, latitude, longitude, ocean, pressure, profile, program, salinity, science, sea, sea_water_practical_salinity, seawater, segment, sensor, situ, temperature, time, type, vessel, vessel_gear_type, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "The data are intended as a sample and may not be used or distributed for operational, scientific, or commercial purposes without prior consent by Berring Data Collective, ApS";
    Float64 Northernmost_Northing 68.3495;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 55.8694;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "sensor_type, vessel_gear_type, data_collection_program, segment_type, platform_code, platform_name, DOI";
    String summary "Ocean data collected via fixed gear fishing vessels. Location does not change over a fishing operation. Aggregated from both science and industry programs. Basic QC routine has been applied, and all flagged data is removed.";
    String time_coverage_end "2020-10-23T07:25:14Z";
    String time_coverage_start "2019-05-16T03:55:03Z";
    String title "Fixed gears: Oceanographic data from fishing vessels";
    Float64 Westernmost_Easting -21.146;
  }
}

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 (external link)

Data Access Protocol (DAP) (external link)

and its selection constraints (external link)

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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