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Dataset Title:	ICES Baltic International Trawl Survey for commercial fish species
Institution:	ICES (Dataset ID: ices_DATRAS_BITS)
Range:	longitude = 9.73 to 24.44°E, latitude = 54.06 to 58.62°N, time = 1991-01-08T10:40:00Z to 2011-03-30T12:19:00Z
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:

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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 {
  ScientificName {
    String long_name "ScientificName";
    String units "https://vocab.nerc.ac.uk/collection/P01/current/SCNAME01/";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/SCNAME01/";
  }
  BasisOfRecord {
    String long_name "BasisOfRecord";
    String units "None";
    String units_uri "None";
  }
  InstitutionCode {
    String long_name "InstitutionCode";
    String units "None";
    String units_uri "None";
  }
  YearCollected {
    Float32 actual_range 1991.0, 2011.0;
    String long_name "YearCollected";
    String units "None";
    String units_uri "None";
  }
  MonthCollected {
    Float32 actual_range 1.0, 12.0;
    String long_name "MonthCollected";
    String units "None";
    String units_uri "None";
  }
  DayCollected {
    Float32 actual_range 1.0, 31.0;
    String long_name "DayCollected";
    String units "None";
    String units_uri "None";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 6.633312e+8, 1.30148754e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    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";
    String units_uri "None";
  }
  TimeOfDay {
    Float32 actual_range 0.933, 23.97;
    String long_name "TimeOfDay";
    String units "None";
    String units_uri "None";
  }
  MaximumDepth {
    Float32 actual_range -9.0, 190.0;
    String long_name "MaximumDepth";
    String units "None";
    String units_uri "None";
  }
  sex {
    String long_name "sex";
    String units "None";
    String units_uri "None";
  }
  ObservedIndividualCount {
    Float32 actual_range -9.0, 65340.0;
    String long_name "ObservedIndividualCount";
    String units "http://rs.tdwg.org/dwc/terms/individualCount";
    String units_uri "http://rs.tdwg.org/dwc/terms/individualCount";
  }
  Notes {
    String long_name "Notes";
    String units "None";
    String units_uri "None";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 9.73, 24.44;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
    String units_uri "http://rs.tdwg.org/dwc/terms/decimalLongitude";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 54.06, 58.62;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
    String units_uri "http://rs.tdwg.org/dwc/terms/decimalLatitude";
  }
  aphia_id {
    String long_name "aphia_id";
    String units "https://vocab.nerc.ac.uk/collection/P01/current/SNANID01/";
    String units_uri "https://vocab.nerc.ac.uk/collection/P01/current/SNANID01/";
  }
 }
  NC_GLOBAL {
    String AccConstrDescription "This license lets others distribute, remix, tweak, and build upon your work, even commercially, as long as they credit you for the original creation. This is the most accommodating of licenses offered. Recommended for maximum dissemination and use of licensed materials.";
    String AccConstrDisplay "This dataset is licensed under a Creative Commons Attribution 4.0 International License.";
    String AccConstrEN "Attribution (CC BY)";
    String AccessConstraint "Attribution (CC BY)";
    String AccessConstraints "ICES Data Policy: https://www.ices.dk/data/guidelines-and-policy/Pages/ICES-data-policy.aspx";
    String Acronym "BITS";
    String BrackishFlag "0";
    String CDate "2010-12-22";
    String cdm_data_type "Other";
    String CheckedFlag "0";
    String Citation "Fish trawl survey: ICES Baltic International Trawl Survey for commercial fish species. ICES Database of trawl surveys (DATRAS). The International Council for the Exploration of the Sea, Copenhagen. 2010. Online source: http://ecosystemdata.ices.dk.";
    String Comments "None";
    String ContactEmail "None";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Holdsworth";
    String CurrencyDate "None";
    String DasID "2760";
    String DasOrigin "Monitoring: field survey";
    String DasType "Data";
    String DasTypeID "1";
    String DescrCompFlag "0";
    String DescrTransFlag "0";
    Float64 Easternmost_Easting 24.44;
    String EmbargoDate "None";
    String EngAbstract "Baltic International Bottom Trawl Survey dataset includes age- and length-based catch per unit effort data for commercial fish species in ICES Baltic sub-divisions.";
    String EngDescr 
"The Baltic International Bottom Trawl Survey Database (BITS) includes research vessel data from national fishery laboratories around the Baltic Sea from 1991 until present. Two species are considered as target species; cod and flounder. Herring, sprat and the by catch species (see the BITS manual) have been reported in the years 1991 to 1998. However, it has been optional to report these species since 1999 and the database is therefore not complete with regard to these species. 

Data are given haul-by-haul as mean catch per unit of effort (CPUE) per length class (1 cm interval for all species except herring and sprat, which are reported in ½ cm interval). In addition, mean CPUE and mean weight per length, age, maturity and sex are given haul-by-haul for sub-samples of the target species.";
    String FreshFlag "0";
    Float64 geospatial_lat_max 58.62;
    Float64 geospatial_lat_min 54.06;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 24.44;
    Float64 geospatial_lon_min 9.73;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-03-09T23:00:01Z (local files)
2025-03-09T23:00:01Z http://erddap.eurobis.org/tabledap/ices_DATRAS_BITS.das";
    String infoUrl "None";
    String InputNotes "None";
    String institution "ICES";
    String keywords "aphia_id, BasisOfRecord, DayCollected, InstitutionCode, latitude, longitude, MaximumDepth, MonthCollected, Notes, ObservedIndividualCount, ScientificName, sex, time, TimeOfDay, YearCollected";
    String License "https://creativecommons.org/licenses/by/4.0/";
    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 Lineage "None";
    String MarineFlag "1";
    Float64 Northernmost_Northing 58.62;
    String OrigAbstract "None";
    String OrigDescr "None";
    String OrigDescrLang "English";
    String OrigDescrLangNL "Engels";
    String OrigLangCode "en";
    String OrigTitle "None";
    String OrigTitleLang "None";
    String OrigTitleLangCode "None";
    String OrigTitleLangNL "None";
    String Progress "In Progress";
    String PublicFlag "1";
    String ReleaseDate "None";
    String ReleaseDate0 "None";
    String RevisionDate "None";
    String SizeReference "More than 84,7879 records";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 54.06;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String StandardTitle "ICES Baltic International Trawl Survey for commercial fish species";
    String subsetVariables "ScientificName,BasisOfRecord,YearCollected,MonthCollected,DayCollected,sex,aphia_id";
    String summary "Baltic International Bottom Trawl Survey dataset includes age- and length-based catch per unit effort data for commercial fish species in ICES Baltic sub-divisions.";
    String TerrestrialFlag "0";
    String time_coverage_end "2011-03-30T12:19:00Z";
    String time_coverage_start "1991-01-08T10:40:00Z";
    String title "ICES Baltic International Trawl Survey for commercial fish species";
    String UDate "2022-08-02";
    String VersionDate "None";
    String VersionDay "None";
    String VersionMonth "None";
    String VersionName "None";
    String VersionYear "None";
    String VlizCoreFlag "1";
    Float64 Westernmost_Easting 9.73;
  }
}

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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