ERDDAP > tabledap > Make A Graph

Dataset Title:	In situ CTD instrument at 3m depth - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) - last row data
Institution:	UNIGE-DISTAV   (Dataset ID: MEDA2_CTD_LAST_RAW)
Range:	time = 2023-11-10T17:15:19Z to 2026-03-25T13:45:19Z
Information:	Summary | License | Metadata | Background | Data Access Form

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  time time_cet Press Temp Cond Sal Y Axis:  time time_cet Press Temp Cond Sal Color:  time time_cet Press Temp Cond Sal   Constraints Optional Constraint #1 Optional Constraint #2 date hour time time_cet Press Temp Cond Sal sensor_id     != =~ <= >= = < >     != =~ <= >= = < > date hour time time_cet Press Temp Cond Sal sensor_id     != =~ <= >= = < >     != =~ <= >= = < > date hour time time_cet Press Temp Cond Sal sensor_id     != =~ <= >= = < >     != =~ <= >= = < > date hour time time_cet Press Temp Cond Sal sensor_id     != =~ <= >= = < >     != =~ <= >= = < > date hour time time_cet Press Temp Cond Sal sensor_id     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" date hour time time_cet Press Temp Cond Sal sensor_id date hour time time_cet Press Temp Cond Sal sensor_id date hour time time_cet Press Temp Cond Sal sensor_id date hour time time_cet Press Temp Cond Sal sensor_id ")   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 EK80  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 .parquet .parquetWMeta .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 )

Time range:  1 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 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 second(s) minute(s) hour(s) day(s) month(s) year(s)

 

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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 {
  date {
    String ioos_category "Time";
    String long_name "Date";
    String source_name "Date";
  }
  hour {
    String ioos_category "Time";
    String long_name "hour";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.69963651907e+9, 1.77444631916e+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 units "seconds since 1970-01-01T00:00:00Z";
  }
  time_cet {
    Float64 actual_range 1.69964011907e+9, 1.77444991916e+9;
    String ioos_category "Time";
    String long_name "Time Cet";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00.00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Press {
    Float32 actual_range -0.14, 5.22;
    String ioos_category "Unknown";
    String long_name "Press";
  }
  Temp {
    Float32 actual_range 12.603, 29.983;
    String ioos_category "Temperature";
    String long_name "Temperature";
  }
  Cond {
    Float32 actual_range 1.199, 60.581;
    String ioos_category "Unknown";
    String long_name "Cond";
  }
  Sal {
    Float32 actual_range 0.607, 38.385;
    String ioos_category "Unknown";
    String long_name "Sal.";
  }
  sensor_id {
    String actual_range 
"Idronaut304
Idronaut316plus";
    String ioos_category "Unknown";
    String long_name "Sensor ID";
  }
 }
  NC_GLOBAL {
    String acquisition_frequence "30 minutes";
    String acquisition_methodology "Idronaut Ocean Seven 316 plus CTD, Idronaut Ocean Seven 304 CTD";
    String acquisition_mode "real time";
    String cdm_data_type "Other";
    String contributors_email "francesco.massa@unige.it; michela.castellano@unige.it; sarah.magozzi@unige.it; enrico.olivari@unige.it";
    String contributors_name "Massa, Francesco; Castellano, Michela; Magozzi, Sarah; Olivari, Enrico";
    String contributors_orcid "0000-0001-9632-4939; 0000-0001-6101-0112; 0000-0003-4070-9105;";
    String contributors_role "researcher; researcher; researcher; researcher; researcher";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "povero@unige.it";
    String creator_name "Povero, Paolo";
    String creator_orcid "0000-0001-8342-9897";
    String creator_type "person";
    String creator_url "https://www.macisteweb.com/";
    String data_format_original "csv";
    String data_version "1";
    String documentation "https://s4raise.it/dssmare/warning_zooplankton/, https://s4raise.it/dssmare/distributed_monitoring_system/, https://raise-spoke3.s4raise.it/project01";
    String geospatial_lat_max "44.29667";
    String geospatial_lat_min "44.29667";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_max "9.2295";
    String geospatial_lon_min "9.2295";
    String geospatial_lon_units "degrees_east";
    String history 
"2026-04-03T04:27:41Z (local files)
2026-04-03T04:27:41Z https://erddap.s4raise.it/tabledap/MEDA2_CTD_LAST_RAW.das";
    String infoUrl "https://www.raiseliguria.it/spoke-3/";
    String inspire "Oceanographic geographical features";
    String institution "UNIGE-DISTAV";
    String institution_country "IT";
    String keywords "Conductivity (7041e51c-e2de-405a-b154-6016f624f54f)";
    String keywords_vocabulary "GCMD Science Keywords";
    String language "XML";
    String license "CC-BY 4.0";
    String maintainer "ETT S.p.A.";
    String naming_authority "RAISE";
    String owner "UNIGE-DISTAV";
    String owner_url "https://distav.unige.it/";
    String platform_id_orig "MEDA2 buoy";
    String platform_type_sdn_name "mooring";
    String platform_type_sdn_uri "https://vocab.nerc.ac.uk/collection/L06/current/48/";
    String platform_type_sdn_urn "SDN:L06::48";
    String project_code "eLTER, MACISTE";
    String project_name "European Long Term Ecological Research, Marine Coastal Information SysTEm";
    String project_statement "eLTER: European Long Term Ecological Research is a globally network of long-term research and monitoring sites in the fields of ecosystem, biodiversity, critical area and socio-ecological research, to ensure interoperable services of the highest quality. MACISTE: Marine Coastal Information SysTEm is an information system of the Department of Environmental, Earth and Life Sciences of the Univestity of Genoa to manage integrated specialised map and alphanumeric information on the marine environment.";
    String project_url "https://www.raiseliguria.it/, https://www.portofino.macisteweb.com/";
    String projects "RAISE";
    String projects_url "https://www.raiseliguria.it/";
    String publisher "ETT S.p.A.";
    String sensor_manufacturer_sdn_name "IDRONAUT";
    String sensor_manufacturer_sdn_uri "https://vocab.nerc.ac.uk/collection/L35/current/MAN0330/";
    String sensor_manufacturer_sdn_urn "SDN:L35::MAN0330";
    String sensor_sdn_name "Idronaut Ocean Seven 316 plus CTD, Idronaut Ocean Seven 304 CTD";
    String sensor_sdn_uri "https://vocab.nerc.ac.uk/collection/L22/current/TOOL1306/, https://vocab.nerc.ac.uk/collection/L22/current/TOOL0861/";
    String sensor_sdn_urn "SDN:L22::TOOL1306, SDN:L22::TOOL0861";
    String sensors "Idronaut Ocean Seven 316 plus CTD, Idronaut Ocean Seven 304 CTD";
    String site_code "LTER_EU_IT_015";
    String site_DOI "https://zenodo.org/records/5235692";
    String site_name "LTER-Italy site Portofino Promontory - Italy";
    String source "Automated buoy system for collection and real-time transmission of in-situ oceanographic data.";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "The dataset represents last raw data automatically collected and trasmitted in real-time by in situ CTD instrument at 3m depth, installed on the Meda2 buoy located in the LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015).";
    String theme_eu_data "http://publications.europa.eu/resource/authority/data-theme/ENVI";
    String theme_eurovoc "http://publications.europa.eu/resource/authority/eurovoc/100224";
    String time_coverage_end "2026-03-25T13:45:19Z";
    String time_coverage_start "2023-11-10T17:15:19Z";
    String title "In situ CTD instrument at 3m depth - LTER-Italy site Portofino Promontory - Italy (LTER_EU_IT_015) - last row data";
    String visibility "public";
  }
}

 

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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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