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Dataset Title:	[CICLOPS TMR hydrography data] - Hydrography sensor data from trace metal rosette (TMR) casts at 26 stations near coastal Antarctica during RVIB Nathaniel B. Palmer cruise NBP18-01 from Dec 2017 to Feb 2018 (Collaborative Research: Cobalamin and Iron Co-Limitation Of Phytoplankton Species in Terra Nova Bay)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_874909_v1)
Range:	longitude = -151.9179 to 179.8186°E, depth = 0.951 to 1208.7m, time = 2017-12-30T01:23:00Z to 2018-02-18T19:29:00Z
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity Y Axis:  Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity Color:  Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity   Constraints Optional Constraint #1 Optional Constraint #2 Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity     != =~ <= >= = < >     != =~ <= >= = < > Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity     != =~ <= >= = < >     != =~ <= >= = < > Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity     != =~ <= >= = < >     != =~ <= >= = < > Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity     != =~ <= >= = < >     != =~ <= >= = < > Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity Latitude longitude time Station Pressure depth Temperature Conductivity Oxygen Fluorescence Beam PAR_Irradiance Salinity ")   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 )

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 {
  Latitude {
    Float32 actual_range -77.49458, -72.75067;
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -151.9179, 179.8186;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.51459698e+9, 1.51898214e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Tmr_start_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Station {
    Int32 actual_range 4, 79;
    String long_name "Station";
    String units "unitless";
  }
  Pressure {
    Float32 actual_range 1.0, 1225.0;
    String long_name "Pressure";
    String units "decibar";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.951, 1208.7;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Temperature {
    Float32 actual_range -2.0054, 1.6342;
    String long_name "Temperature";
    String units "degrees Celsius";
  }
  Conductivity {
    Float32 actual_range 25.02464, 30.45878;
    String long_name "Conductivity";
    String units "millisiemens per centimeter (mS/cm)";
  }
  Oxygen {
    Float32 actual_range 4.0584, 10.7582;
    String long_name "Oxygen";
    String units "milliliter per liter (mL/L)";
  }
  Fluorescence {
    Float32 actual_range 0.0075, 43.8882;
    String long_name "Fluorescence";
    String units "milligrams per cubic meter (mg/m^3)";
  }
  Beam {
    Float32 actual_range -37.0513, 98.8319;
    String long_name "Beam";
    String units "percent (%)";
  }
  PAR_Irradiance {
    Float32 actual_range -8.21e-7, 5648.5;
    String long_name "Par_irradiance";
    String units "watts per square meter (W/m^2)";
  }
  Salinity {
    Float32 actual_range 30.6095, 34.853;
    String long_name "Salinity";
    String units "practical salinity unit (PSU)";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_url "https://www.bco-dmo.org/";
    String doi "10.26008/1912/bco-dmo.874909.1";
    Float64 Easternmost_Easting 179.8186;
    Float64 geospatial_lon_max 179.8186;
    Float64 geospatial_lon_min -151.9179;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1208.7;
    Float64 geospatial_vertical_min 0.951;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T05:53:40Z (local files)
2024-11-08T05:53:40Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_874909_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/874909";
    String institution "BCO-DMO";
    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 sourceUrl "(local files)";
    String summary "This dataset provides the trace metal rosette (TMR) hydrography data from the Amundsen and Ross Seas, including from Terra Nova Bay, collected onboard the R/V Nathaniel B. Palmer as part of the Cobalamin and Iron Co-Limitation of Phytoplankton Species (CICLOPS) expedition from December 11, 2017 to March 3, 2018. Sensor information and calibration dates are available in the report 'NBP1801_Data_Report.pdf' available as a supplemental file.";
    String time_coverage_end "2018-02-18T19:29:00Z";
    String time_coverage_start "2017-12-30T01:23:00Z";
    String title "[CICLOPS TMR hydrography data] - Hydrography sensor data from trace metal rosette (TMR) casts at 26 stations near coastal Antarctica during RVIB Nathaniel B. Palmer cruise NBP18-01 from Dec 2017 to Feb 2018 (Collaborative Research:  Cobalamin and Iron Co-Limitation Of Phytoplankton Species  in Terra Nova Bay)";
    Float64 Westernmost_Easting -151.9179;
  }
}

 

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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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