eMOLT Data ERDDAP
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Dataset Title:	NOS Profile Data
Institution:	Environmental Monitors on Lobster Traps and Large Trawlers (Dataset ID: eMOLT_RT_NOS_PROF)
Range:	longitude = -73.4115 to -67.0571°E, latitude = 39.1283 to 44.0982°N, depth = 1.0015 to 10332.0m, time = 2025-03-29T07:00:16Z to 2025-03-31T03:29:04Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

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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 1.743232e+9, 1.743392e+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 units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 _FillValue NaN;
    Float32 actual_range 39.1283, 44.0982;
    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 _FillValue NaN;
    Float32 actual_range -73.4115, -67.0571;
    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 _FillValue NaN;
    Float32 actual_range 1.0015, 10332.0;
    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 3.705, 9.788;
    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";
  }
  make {
    String conventions "SensorML";
    String ioos_category "Identifier";
    String long_name "Sensor manufacturer";
  }
  model {
    String conventions "SensorML";
    String ioos_category "Identifier";
    String long_name "Sensor model";
  }
  segment_type {
    String conventions "Fishing: bottom data; Profiling Down: gear being set; Profiling Up; gear being hauled";
    String ioos_category "Identifier";
    String long_name "Fishing Stage When Data is Collected";
  }
  qc_vessel_region {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String infoUrl "https://github.com/BerringDC/BDC_qc#vessel-id-control-test";
    String ioos_category "Quality";
    String long_name "Flag Vessel Region Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  qc_gear_type {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 3;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String infoUrl "https://github.com/BerringDC/BDC_qc#gear-type-control-test";
    String ioos_category "Quality";
    String long_name "Flag Gear Type Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  qc_date {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String infoUrl "https://github.com/BerringDC/BDC_qc#impossible-date-test";
    String ioos_category "Quality";
    String long_name "Flag Date Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  qc_location {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String infoUrl "https://github.com/BerringDC/BDC_qc#impossible-location-test";
    String ioos_category "Quality";
    String long_name "Flag Location Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  qc_mud {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String ioos_category "Quality";
    String long_name "Flag Mud Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  qc_speed {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 4;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String infoUrl "https://github.com/BerringDC/BDC_qc#impossible-speed-test";
    String ioos_category "Quality";
    String long_name "Flag Speed Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  qc_global_range {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 3;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String infoUrl "https://github.com/BerringDC/BDC_qc#global-range-test";
    String ioos_category "Quality";
    String long_name "Flag Global Range Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  qc_temp_spike {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String infoUrl "https://github.com/BerringDC/BDC_qc#spike-test";
    String ioos_category "Quality";
    String long_name "Flag Temperature Spike Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  qc_rollover {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String infoUrl "https://github.com/BerringDC/BDC_qc#digit-rollover-test";
    String ioos_category "Quality";
    String long_name "Flag Rollover Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  qc_temp_stuck {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 4;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String infoUrl "https://github.com/BerringDC/BDC_qc#stuck-value-flat-line-test";
    String ioos_category "Quality";
    String long_name "Flag Temperature Stuck Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  qc_RoC {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 3;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String infoUrl "https://github.com/BerringDC/BDC_qc#rate-of-change-test";
    String ioos_category "Quality";
    String long_name "Flag Rate of Change Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
  qc_clima {
    Byte _FillValue 0;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    String flag_meanings "NaN/0 No QC was performed, 1 Good data, 2 Suspect data, 4 Bad data, 5 Corrected data, 9 Missing value";
    String infoUrl "https://github.com/BerringDC/BDC_qc#climatology-test";
    String ioos_category "Quality";
    String long_name "Flag Climatology Test";
    Byte valid_max 9;
    Byte valid_min 0;
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.9.4-development,hdf5=1.14.2";
    String cdm_data_type "Point";
    String contact_email "george.maynard@noaa.gov";
    String contact_name "George Maynard";
    String Conventions "COARDS, CF-1.6, ACDD-1.3, ISSCFG";
    String creator_name "George Maynard";
    String dataset_status "OnGoing";
    Float64 Easternmost_Easting -67.0571;
    String featureType "Point";
    Float64 geospatial_lat_max 44.0982;
    Float64 geospatial_lat_min 39.1283;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -67.0571;
    Float64 geospatial_lon_min -73.4115;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 10332.0;
    Float64 geospatial_vertical_min 1.0015;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-04-01T07:02:57Z (local files)
2025-04-01T07:02:57Z https://erddap.emolt.net/tabledap/eMOLT_RT_NOS_PROF.das";
    String infoUrl "https://emolt.org";
    String institution "Environmental Monitors on Lobster Traps and Large Trawlers";
    String keywords "data, Earth Science &gt, fish, fishing, gear, industry, latitude, longitude, ocean, Oceans &gt, pressure, profile, program, Salinity, salinity, Salinity/Density &gt, science, sea, seawater";
    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.";
    Float64 Northernmost_Northing 44.1039;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 39.7334;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "make,model,segment_type";
    String summary "TEST PROFILES NOS DATASET. QC/QA IS APPLIED.";
    String time_coverage_end "2025-03-31T03:29:04Z";
    String time_coverage_start "2025-03-29T07:00:16Z";
    String title "NOS Profile Data";
    Float64 Westernmost_Easting -72.453;
  }
}

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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