ERDDAP > tabledap > Data Access Form

Dataset Title:	Fishing Vessel Oserving Network platform data CJW6EQD
Institution:	Fishing Vessel Observing Network   (Dataset ID: odn_CJW6EQD)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
row_id	!= =~ <= >= = < >		!= =~ <= >= = < >		2801488	2802132
time (Datetime, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2024-08-07T23:24:18Z	2024-08-08T02:45:42Z
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		56.9225	56.933
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-135.526	-135.492
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.2	93.3
temperature (degree_C)	!= =~ <= >= = < >		!= =~ <= >= = < >		7.478	15.247
tow_id	!= =~ <= >= = < >		!= =~ <= >= = < >		20104	20107
vessel_id	!= =~ <= >= = < >		!= =~ <= >= = < >		75
sensor_id	!= =~ <= >= = < >		!= =~ <= >= = < >		408
vessel_gear_type	!= =~ <= >= = < >		!= =~ <= >= = < >		"TROLLING LINES"
wmo_platform_code (WMO ID)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CJW6EQD"
gear_type	!= =~ <= >= = < >		!= =~ <= >= = < >		"MOBILE"
segment_type	!= =~ <= >= = < >		!= =~ <= >= = < >		"Profiling Down"	"Profiling Up"
flag_vessel_region	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
flag_gear_type	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
flag_date	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
flag_location	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
flag_speed	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
flag_global_range	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
flag_temp_spike	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
flag_rollover	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
flag_temp_stuck	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
flag_RoC	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
flag_clima	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1
flag_mud	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1

 

Server-side Functions

distinct()

orderBy orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" row_id time latitude longitude depth temperature tow_id vessel_id sensor_id vessel_gear_type wmo_platform_code gear_type segment_type flag_vessel_region flag_gear_type flag_date flag_location flag_speed flag_global_range flag_temp_spike flag_rollover flag_temp_stuck flag_RoC flag_clima flag_mud row_id time latitude longitude depth temperature tow_id vessel_id sensor_id vessel_gear_type wmo_platform_code gear_type segment_type flag_vessel_region flag_gear_type flag_date flag_location flag_speed flag_global_range flag_temp_spike flag_rollover flag_temp_stuck flag_RoC flag_clima flag_mud row_id time latitude longitude depth temperature tow_id vessel_id sensor_id vessel_gear_type wmo_platform_code gear_type segment_type flag_vessel_region flag_gear_type flag_date flag_location flag_speed flag_global_range flag_temp_spike flag_rollover flag_temp_stuck flag_RoC flag_clima flag_mud row_id time latitude longitude depth temperature tow_id vessel_id sensor_id vessel_gear_type wmo_platform_code gear_type segment_type flag_vessel_region flag_gear_type flag_date flag_location flag_speed flag_global_range flag_temp_spike flag_rollover flag_temp_stuck flag_RoC flag_clima flag_mud row_id time latitude longitude depth temperature tow_id vessel_id sensor_id vessel_gear_type wmo_platform_code gear_type segment_type flag_vessel_region flag_gear_type flag_date flag_location flag_speed flag_global_range flag_temp_spike flag_rollover flag_temp_stuck flag_RoC flag_clima flag_mud ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  row_id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 2801488, 2802132;
    String long_name "Row Id";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.723073058e+9, 1.723085142e+9;
    String axis "T";
    String cf_role "profile_id";
    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 56.9225, 56.933;
    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 -135.526, -135.492;
    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 1.2, 93.3;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  temperature {
    Float32 actual_range 7.478, 15.247;
    String long_name "Temperature";
    String standard_name "sea_water_temperature";
    String units "degree_C";
  }
  tow_id {
    Int16 _FillValue 32767;
    Int16 actual_range 20104, 20107;
    String long_name "Tow Id";
  }
  vessel_id {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 75, 75;
    String long_name "Vessel Id";
  }
  sensor_id {
    Int16 _FillValue 32767;
    Int16 actual_range 408, 408;
    String long_name "Sensor Id";
  }
  vessel_gear_type {
    String long_name "Vessel Gear Type";
  }
  wmo_platform_code {
    String cf_role "trajectory_id";
    String long_name "WMO ID";
  }
  gear_type {
    String long_name "Gear Type";
  }
  segment_type {
    String long_name "Segment Type";
  }
  flag_vessel_region {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Vessel Region";
  }
  flag_gear_type {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Gear Type";
  }
  flag_date {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Date";
  }
  flag_location {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Location";
  }
  flag_speed {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Speed";
  }
  flag_global_range {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Global Range";
  }
  flag_temp_spike {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Temp Spike";
  }
  flag_rollover {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Rollover";
  }
  flag_temp_stuck {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Temp Stuck";
  }
  flag_RoC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Ro C";
  }
  flag_clima {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Clima";
  }
  flag_mud {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 1;
    Float64 colorBarMaximum 150.0;
    Float64 colorBarMinimum 0.0;
    String long_name "Flag Mud";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TrajectoryProfile";
    String cdm_profile_variables "time";
    String cdm_trajectory_variables "wmo_platform_code";
    String Conventions "COARDS, CF-1.10, ACDD-1.3";
    String creator_name "Fishing Vessel Observing Network";
    String creator_url "https://oceandata.net/";
    Float64 Easternmost_Easting -135.492;
    String featureType "TrajectoryProfile";
    Float64 geospatial_lat_max 56.933;
    Float64 geospatial_lat_min 56.9225;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -135.492;
    Float64 geospatial_lon_min -135.526;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 93.3;
    Float64 geospatial_vertical_min 1.2;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-12-31T04:41:00Z (local files)
2024-12-31T04:41:00Z https://data.pmel.noaa.gov/generic/erddap/tabledap/odn_CJW6EQD.html";
    String infoUrl "https://oceandata.net/";
    String institution "Fishing Vessel Observing Network";
    String keywords "cjw6eqd, clima, data, date, datetime, fishing, flag, flag_clima, flag_date, flag_gear_type, flag_global_range, flag_location, flag_mud, flag_RoC, flag_rollover, flag_speed, flag_temp_spike, flag_temp_stuck, flag_vessel_region, gear, gear_type, global, latitude, longitude, meteorological, mud, network, observing, organisation, oserving, platform, pressure, range, region, rollover, row, row_id, segment, segment_type, sensor, sensor_id, speed, spike, stuck, temperature, time, tow, tow_id, type, vessel, vessel_gear_type, vessel_id, wmo, WMO_ID, world";
    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 56.933;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 56.9225;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "vessel_id, sensor_id, vessel_gear_type, wmo_platform_code, gear_type";
    String summary "Fishing Vessel Oserving Network platform data";
    String testOutOfDate "now-1day";
    String time_coverage_end "2024-08-08T02:45:42Z";
    String time_coverage_start "2024-08-07T23:24:18Z";
    String title "Fishing Vessel Oserving Network platform data CJW6EQD";
    Float64 Westernmost_Easting -135.526;
  }
}

 

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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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