ERDDAP > tabledap > Data Access Form

Dataset Title:	Profile data from fishing vessels and gears
Institution:	Ocean Data Network   (Dataset ID: ODN_Profile_FV_NRT)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
time (Datetime, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2021-07-01T19:03:20Z	2024-12-11T00:31:40Z
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		35.8409	58.9069
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-138.546	-67.1663
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.1	1033.8
temperature (degree_C)	!= =~ <= >= = < >		!= =~ <= >= = < >		3.701	28.447
salinity (PSU)	!= =~ <= >= = < >		!= =~ <= >= = < >
platform_name	!= =~ <= >= = < >		!= =~ <= >= = < >		"BDC Vessel 19" "BDC Vessel 2" "BDC Vessel 20" "BDC Vessel 22" "BDC Vessel 23" "BDC Vessel 28" "ONR Vessel 1" "ONR Vessel 2" "ONR Vessel 3" "ONR Vessel 4" "OTT Vessel 3"
sensor_type	!= =~ <= >= = < >		!= =~ <= >= = < >		"ZEBRATECH"
vessel_gear_type	!= =~ <= >= = < >		!= =~ <= >= = < >		"BEAM TRAWLS" "BOTTOM TRAW" "BOTTOM TRAWLS (NEI)" "LONGLINES (NEI)" "TRAPS (NEI)" "TROLLING LINES"
data_collection_program	!= =~ <= >= = < >		!= =~ <= >= = < >		"eMOLT" "Ocean Data Network/Berring Data Collective" "ONR" "OTT"
vessel_id	!= =~ <= >= = < >		!= =~ <= >= = < >		74	96
sensor_id	!= =~ <= >= = < >		!= =~ <= >= = < >		80	423
tow_id	!= =~ <= >= = < >		!= =~ <= >= = < >		4968	23211
segment_type	!= =~ <= >= = < >		!= =~ <= >= = < >		"Profiling Down" "Profiling Up"
profile_id	!= =~ <= >= = < >		!= =~ <= >= = < >
DOI (Digital Object Identifier)	!= =~ <= >= = < >		!= =~ <= >= = < >		"" "10.17882/75396" "10.17882/75397"
WMO_ID	!= =~ <= >= = < >		!= =~ <= >= = < >		"" "2EDA7VT" "5PMQXCD" "CJW6EQD" "DAKAMEC" "None" "RUSD75X" "SBAZQHK" "SVWLYZC" "SWWH6KE" "URLFEJT" "VDM6YPM" "VMWJAFE" "YQCXMSE"
nation	!= =~ <= >= = < >		!= =~ <= >= = < >		""

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time latitude longitude depth temperature salinity platform_name sensor_type vessel_gear_type data_collection_program vessel_id sensor_id tow_id segment_type profile_id DOI WMO_ID nation time latitude longitude depth temperature salinity platform_name sensor_type vessel_gear_type data_collection_program vessel_id sensor_id tow_id segment_type profile_id DOI WMO_ID nation time latitude longitude depth temperature salinity platform_name sensor_type vessel_gear_type data_collection_program vessel_id sensor_id tow_id segment_type profile_id DOI WMO_ID nation time latitude longitude depth temperature salinity platform_name sensor_type vessel_gear_type data_collection_program vessel_id sensor_id tow_id segment_type profile_id DOI WMO_ID nation time latitude longitude depth temperature salinity platform_name sensor_type vessel_gear_type data_collection_program vessel_id sensor_id tow_id segment_type profile_id DOI WMO_ID nation ")

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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6251662e+9, 1.7338771e+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 35.8409, 58.9069;
    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 -138.546, -67.1663;
    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 1.1, 1033.8;
    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 3.701, 28.447;
    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;
    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";
  }
  platform_name {
    String ioos_category "Identifier";
    String long_name "Platform Name";
  }
  sensor_type {
    String conventions "SensorML";
    String ioos_category "Identifier";
    String long_name "Sensor Type";
    String metadata_link "https://oceandata.net/data/";
  }
  vessel_gear_type {
    String conventions "ISSCFG";
    String ioos_category "Identifier";
    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 "Identifier";
    String long_name "Data Collection Program or Industry Body";
  }
  vessel_id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 74, 96;
    String ioos_category "Identifier";
    String long_name "Confidential Unique Vessel Identifier";
  }
  sensor_id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 80, 423;
    String ioos_category "Identifier";
    String long_name "Confidential Unique Sensor Identifier";
  }
  tow_id {
    Int32 _FillValue 2147483647;
    Int32 actual_range 4968, 23211;
    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 "Identifier";
    String long_name "Fishing Stage When Data is Collected";
    String metadata_link "https://oceandata.net/data/";
  }
  profile_id {
    Int32 _FillValue 2147483647;
    String cf_role "profile_id";
    String ioos_category "Identifier";
    String long_name "Unique Fishing Profile Operation Identifier";
  }
  DOI {
    String ioos_category "Identifier";
    String long_name "Digital Object Identifier";
  }
  WMO_ID {
    String ioos_category "Identifier";
    String long_name "Confidential Unique WMO Identifier";
  }
  nation {
    String ioos_category "Identifier";
    String long_name "Registered Flag state of vessel";
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.9.4-development,hdf5=1.14.2";
    String cdm_data_type "Profile";
    String cdm_profile_variables "profile_id,time,latitude,longitude";
    String contact_email "erddap@oceandata.net";
    String contact_name "Carles Castro Muniain";
    String Conventions "COARDS, CF-1.6, ACDD-1.3, ISSCFG";
    String creator_name "Carles Castro Muniain";
    String dataset_status "OnGoing";
    Float64 Easternmost_Easting -67.1663;
    String featureType "Profile";
    Float64 geospatial_lat_max 58.9069;
    Float64 geospatial_lat_min 35.8409;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -67.1663;
    Float64 geospatial_lon_min -138.546;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1033.8;
    Float64 geospatial_vertical_min 1.1;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-12-23T03:43:10Z (local files)
2024-12-23T03:43:10Z https://erddap.oceandata.net/erddap/tabledap/ODN_Profile_FV_NRT.html";
    String infoUrl "https://oceandata.net/data/";
    String institution "Ocean Data Network";
    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 58.9069;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 35.8409;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "platform_name, sensor_type, vessel_gear_type, data_collection_program, segment_type, DOI, WMO_ID, nation";
    String summary "Outdated, all data is included in seperate ERDDAPs: Ocean data collected via fishing vessels aggregated from both science and industry programs. Basic QC routine has been applied, and all flagged data is removed.";
    String time_coverage_end "2024-12-11T00:31:40Z";
    String time_coverage_start "2021-07-01T19:03:20Z";
    String title "Profile data from fishing vessels and gears";
    Float64 Westernmost_Easting -138.546;
  }
}

 

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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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