ERDDAP > tabledap > Make A Graph

Dataset Title:	SO-CHIC - CTD Observations from Cruise 2022 - Agulhas II
Institution:	SO-CHIC   (Dataset ID: SOCHIC_Cruise_2022_Agulhas_II_CTD)
Range:	longitude = -2.7043333 to 7.577833°E, latitude = -70.25584 to -53.994335°N, time = 2022-01-06T16:41:05Z to 2022-01-23T14:46:33Z
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  longitude latitude time DEPTH TEMP PSAL O2 CHLA Y Axis:  longitude latitude time DEPTH TEMP PSAL O2 CHLA Color:  longitude latitude time DEPTH TEMP PSAL O2 CHLA   Constraints Optional Constraint #1 Optional Constraint #2 PLATFORMCODE longitude latitude time DEPTH TEMP PSAL O2 CHLA     != =~ <= >= = < >     != =~ <= >= = < > PLATFORMCODE longitude latitude time DEPTH TEMP PSAL O2 CHLA     != =~ <= >= = < >     != =~ <= >= = < > PLATFORMCODE longitude latitude time DEPTH TEMP PSAL O2 CHLA     != =~ <= >= = < >     != =~ <= >= = < > PLATFORMCODE longitude latitude time DEPTH TEMP PSAL O2 CHLA     != =~ <= >= = < >     != =~ <= >= = < > PLATFORMCODE longitude latitude time DEPTH TEMP PSAL O2 CHLA     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" PLATFORMCODE longitude latitude time DEPTH TEMP PSAL O2 CHLA PLATFORMCODE longitude latitude time DEPTH TEMP PSAL O2 CHLA PLATFORMCODE longitude latitude time DEPTH TEMP PSAL O2 CHLA PLATFORMCODE longitude latitude time DEPTH TEMP PSAL O2 CHLA ")   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 Draw land mask:  under over outline off 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 )

Click on the map to specify a new center point. Zoom:  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 {
  PLATFORMCODE {
    String long_name "Station";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -2.704333333333333, 7.577833333333332;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "longitude (degrees_east)";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -70.25583333333334, -53.99433333333332;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "latitude (degrees_north)";
    String standard_name "latitude";
    String units "degrees_north";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.641487265e+9, 1.642949193e+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";
  }
  DEPTH {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 5289.0;
    String long_name "Depth";
    String units "m";
  }
  TEMP {
    Float64 _FillValue NaN;
    Float64 actual_range -1.9285, 2.1352;
    String calibrated "yes; by Nadine Steiger in March 2022; see cruise report";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String long_name "Temperature";
    Float64 missing_value NaN;
    String units "degree_C";
  }
  PSAL {
    Float64 _FillValue NaN;
    Float64 actual_range 33.5838, 34.7165;
    String calibrated "yes; by Nadine Steiger in March 2022; see cruise report";
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String long_name "PSAL";
    Float64 missing_value NaN;
    String units "degree_C";
  }
  O2 {
    Float64 _FillValue NaN;
    Float64 actual_range 3.7739, 8.3894;
    String calibrated "no";
    String long_name "O2";
    Float64 missing_value NaN;
    String units "ml per L";
  }
  CHLA {
    Float64 _FillValue NaN;
    Float64 actual_range -0.0477, 10.8164;
    String calibrated "no";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    Float64 missing_value NaN;
    String standard_name "concentration_of_chlorophyll_in_sea_water";
    String units "X";
  }
 }
  NC_GLOBAL {
    String authors "Steiger Nadine, Sallee JB, Ward Brian, Azevedo Alexandra, Binase Zanele, Ten Doeschat Anneke, Els Heino, Hamnca Siyabulela, Jacobs Leon, Katsoulis Michael, Lavanchy Sebastian, Lavis Craig, Lourenco Antonio, Du Plessis Marcel, Rosenthal Hanna, Soares Bianca, Spira Theo";
    String cdm_data_type "Other";
    String citation "Steiger Nadine, Sallée JB, Ward Brian, Azevedo Alexandra, Binase Zanele, Ten Doeschat Anneke, Els Heino, Hamnca Siyabulela, Jacobs Leon, Katsoulis Michael, Lavanchy Sebastian, Lavis Craig, Lourenco Antonio, Du Plessis Marcel, Rosenthal Hanna, Soares Bianca, Spira Theo (2022). CTD observation - SO-CHIC Cruise 2022. SEANOE. https://doi.org/10.17882/95314";
    String Conventions "COARDS, CF-1.6, ACDD-1.3, NCCSV-1.2";
    String cruise_report_DOI "10.5281/zenodo.6948850";
    String cruise_report_infoUrl "https://zenodo.org/record/6948850";
    String data_DOI "10.17882/95314";
    String data_infoUrl "https://www.seanoe.org/data/00841/95314/";
    Float64 Easternmost_Easting 7.577833333333332;
    Float64 geospatial_lat_max -53.99433333333332;
    Float64 geospatial_lat_min -70.25583333333334;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 7.577833333333332;
    Float64 geospatial_lon_min -2.704333333333333;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-06T09:38:34Z (local files)
2024-11-06T09:38:34Z https://er1.s4oceanice.eu/tabledap/SOCHIC_Cruise_2022_Agulhas_II_CTD.das";
    String infoUrl "https://zenodo.org/record/6948850";
    String institution "SO-CHIC";
    String keywords "Chla, chlorophyll, concentration_of_chlorophyll_in_sea_water, oxygen, pressure, psal, temperature";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "CC-BY";
    Float64 Northernmost_Northing -53.99433333333332;
    String project_infoUrl "http://www.sochic-h2020.eu/";
    String sensros_specification "-";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -70.25583333333334;
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "This dataset contains the CTD casts conducted during the SO-CHIC (Southern Ocean Carbon and Heat Impact on Climate) cruise (December 2021/January 2022, S.A. AgulhasII). The cruise report is available at https://zenodo.org/record/6948850 for details. To contribute to reducing uncertainties in climate change predictions, the overall objective of the SO-CHIC project is to understand and quantify variability of heat and carbon budgets in the Southern Ocean through an investigation of the key processes controlling exchanges between the atmosphere, ocean and sea ice using a combination of observational and modelling approaches. The Southern Ocean regulates the global climate by controlling heat and carbon exchanges between the atmosphere and the ocean. Rates of climate change on decadal time scales ultimately depend on oceanic processes taking place in the Southern Ocean, yet too little is known about the underlying processes. Limitations come both from the lack of observations in this extreme environment and its inherent sensitivity to intermittent small-scale processes that are not captured in current Earth system models.";
    String time_coverage_end "2022-01-23T14:46:33Z";
    String time_coverage_start "2022-01-06T16:41:05Z";
    String title "SO-CHIC - CTD Observations from Cruise 2022 - Agulhas II";
    Float64 Westernmost_Easting -2.704333333333333;
  }
}

 

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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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