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Dataset Title:	ICATMAR oceanographic survey MEDITS-AUT25 dataset
Institution:	ICATMAR   (Dataset ID: public_medits_aut_25_tb)
Information:	Summary | License | Metadata | Background | Data Access Form

 

Graph Type:  lines linesAndMarkers markers X Axis:  year month day haul_number total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined Y Axis:  year month day haul_number total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined Color:  year month day haul_number total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined   Constraints Optional Constraint #1 Optional Constraint #2 type_of_file country area vessel year month day haul_number codend_closing part_of_the_codend faunistic_category genus species name_of_the_reference_list total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined     != =~ <= >= = < >     != =~ <= >= = < > type_of_file country area vessel year month day haul_number codend_closing part_of_the_codend faunistic_category genus species name_of_the_reference_list total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined     != =~ <= >= = < >     != =~ <= >= = < > type_of_file country area vessel year month day haul_number codend_closing part_of_the_codend faunistic_category genus species name_of_the_reference_list total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined     != =~ <= >= = < >     != =~ <= >= = < > type_of_file country area vessel year month day haul_number codend_closing part_of_the_codend faunistic_category genus species name_of_the_reference_list total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined     != =~ <= >= = < >     != =~ <= >= = < > type_of_file country area vessel year month day haul_number codend_closing part_of_the_codend faunistic_category genus species name_of_the_reference_list total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" type_of_file country area vessel year month day haul_number codend_closing part_of_the_codend faunistic_category genus species name_of_the_reference_list total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined type_of_file country area vessel year month day haul_number codend_closing part_of_the_codend faunistic_category genus species name_of_the_reference_list total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined type_of_file country area vessel year month day haul_number codend_closing part_of_the_codend faunistic_category genus species name_of_the_reference_list total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined type_of_file country area vessel year month day haul_number codend_closing part_of_the_codend faunistic_category genus species name_of_the_reference_list total_weight_in_the_haul total_number_in_the_haul nb_of_females nb_of_males nb_of_undetermined ")   Graph Settings Marker Type:  None Plus X Dot Square Filled Square Circle Filled Circle Up Triangle Filled Up Triangle Borderless Filled Square Borderless Filled Circle Borderless Filled Up Triangle  Size:  3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 Color:  Color Bar:  BlackBlueWhite BlackGreenWhite BlackRedWhite BlackWhite BlueWhiteRed BlueWideWhiteRed LightRainbow Ocean OceanDepth Rainbow Rainbow2 Rainfall ReverseRainbow RedWhiteBlue RedWhiteBlue2 RedWideWhiteBlue Spectrum Topography TopographyDepth WhiteBlueBlack WhiteGreenBlack WhiteRedBlack WhiteBlack YellowRed KT_algae KT_amp KT_balance KT_curl KT_deep KT_delta KT_dense KT_gray KT_haline KT_ice KT_matter KT_oxy KT_phase KT_solar KT_speed KT_tempo KT_thermal KT_turbid  Continuity:  Continuous Discrete  Scale:  Linear Log    Minimum:   Maximum:   N Sections:  2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 Y Axis Minimum:   Maximum:    Ascending Descending Linear Log   Redraw the Graph (Please be patient. It may take a while to get the data.)   Optional: Then set the File Type: .asc .csv .csvp .csv0 .dataTable .das .dds .dods .esriCsv .fgdc .geoJson .graph .help .html .htmlTable .iso19115 .itx .json .jsonlCSV1 .jsonlCSV .jsonlKVP .mat .nc .ncHeader .ncCF .ncCFHeader .ncCFMA .ncCFMAHeader .nccsv .nccsvMetadata .ncoJson .odvTxt .subset .tsv .tsvp .tsv0 .wav .xhtml .kml .smallPdf .pdf .largePdf .smallPng .png .largePng .transparentPng (File Type information) and or view the URL: (Documentation / Bypass this 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.
   

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  type_of_file {
    String ioos_category "Unknown";
    String long_name "Type Of File";
  }
  country {
    String ioos_category "Location";
    String long_name "Country";
  }
  area {
    String ioos_category "Unknown";
    String long_name "Area";
  }
  vessel {
    String ioos_category "Unknown";
    String long_name "Vessel";
  }
  year {
    String ioos_category "Time";
    String long_name "Year";
  }
  month {
    String ioos_category "Time";
    String long_name "Month";
  }
  day {
    String ioos_category "Time";
    String long_name "Day";
  }
  haul_number {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Haul Number";
  }
  codend_closing {
    String ioos_category "Unknown";
    String long_name "Codend Closing";
  }
  part_of_the_codend {
    String ioos_category "Unknown";
    String long_name "Part Of The Codend";
  }
  faunistic_category {
    String ioos_category "Unknown";
    String long_name "Faunistic Category";
  }
  genus {
    String ioos_category "Taxonomy";
    String long_name "Genus";
  }
  species {
    String ioos_category "Taxonomy";
    String long_name "Species";
  }
  name_of_the_reference_list {
    String ioos_category "Unknown";
    String long_name "Name Of The Reference List";
  }
  total_weight_in_the_haul {
    String ioos_category "Unknown";
    String long_name "Total Weight In The Haul";
  }
  total_number_in_the_haul {
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Statistics";
    String long_name "Total Number In The Haul";
  }
  nb_of_females {
    String ioos_category "Unknown";
    String long_name "Nb Of Females";
  }
  nb_of_males {
    String ioos_category "Unknown";
    String long_name "Nb Of Males";
  }
  nb_of_undetermined {
    String ioos_category "Unknown";
    String long_name "Nb Of Undetermined";
  }
 }
  NC_GLOBAL {
    String acknowledgement 
"These data were collected and made freely available by the
                Catalan Institute for Ocean Governance Research (ICATMAR)...";
    String area "Mediterranean Sea";
    String cdm_data_type "Other";
    String citation 
"Ribera Altimir, Jordi; Martí Comas, Adrià; Puig-Capdevila, Aram;
                Balcells-Surroca, Marc; Blanco, Marta; Bustos-Salvador, Ferran; Carretón, Marta;
                Casals i Baixas, Clara; Couve Heins, Pablo Franz; Galimany, Eve; García-Marina,
                Juan; Panisello-Garriga, Mariona; Mingote, Mireia G.; Lombarte, Antoni; López-Pérez,
                Cristina; Martínez, Begoña; Mir-Arguimbau, Joan; Pitarch-Claramunt, Xavi; Poch
                Isern, Patricia; Puigcerver Segarra, Xènia; Pujol Baucells, Marta; Recasens, Laura;
                Rico, Alberto; Rojas García, Alba; Rossell, Alexis; Sala Coromina, Joan;
                Santos-Bethencourt, Ricardo; Silvestre, Mireia; Viure Feliu, Laia; Company, Joan B.;
                2026; ICATMAR oceanographic survey MEDITS-AUT25 dataset; DIGITAL.CSIC;
                https://doi.org/10.20350/digitalCSIC/18283; http://hdl.handle.net/10261/428757";
    String Conventions "MEDITS-Handbook. Version n. 9, 2017";
    String creator_name "ICATMAR";
    String creator_type "institution";
    String date_created "2026-01-31";
    String date_modified "2026-04-17";
    String description 
"Data collected during the oceanographic survey MEDITS-AUT25
                carried out by ICATMAR in november-december 2025 in the GSA6 (Mediterranean sea)...";
    String distribution_statement "These data are public and free of charge...";
    String doi "https://doi.org/10.20350/digitalCSIC/18283";
    String history 
"2026-04-20T17:33:50Z (source database)
2026-04-20T17:33:50Z https://hebe.icm.csic.es/tabledap/public_medits_aut_25_tb.das";
    String infoUrl "www.icatmar.cat";
    String institution "ICATMAR";
    String keywords "Bottom trawling, Demersal\\n                fisheries, Fisheries monitoring, GSA6, ICATMAR, Information Systems, Mediterranean sea, MEDITS, Oceanographic survey";
    String keywords_vocabulary "GCMD Science Keywords";
    String license 
"MEDITS-AUT25 dataset by ICATMAR is licensed under a Creative Commons
                Attribution 4.0 International License...";
    String publisher_email "info at icatmar.cat";
    String publisher_url "https://www.icatmar.cat";
    String references 
"Blanco, M., Balcells-Surroca, M., Bustos-Salvador, F., Carretón,
                M., Casals i Baixas, C., Company, J. B., … Viure Feliu, L. (2026). Oceanographic
                survey (MEDITS-AUT25 Report) November-December 2025 (ICATMAR, 26-03). Institut
                Català de Recerca per a la Governança del Mar. Retrieved from
                https://doi.org/10.20350/digitalCSIC/18256";
    String sourceUrl "(source database)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "Oceanographic survey MEDITS-AUT25 dataset";
    String time_coverage_end "2025-12-10";
    String time_coverage_start "2025-11-18";
    String title "ICATMAR oceanographic survey MEDITS-AUT25 dataset";
  }
}

 

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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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