ERDDAP > tabledap > Make A Graph

Dataset Title:	[ALFA data - Indonesian Through Flow Region] - Advanced Laser Fluorescence Analyzer (ALFA) data from the Indonesian Through Flow Region from the R/V Roger Ravelle (RR2201) from January to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_944302_v1)
Range:	longitude = 113.911 to 136.5437°E, latitude = -17.18643 to 6.599072°N
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3 Y Axis:  time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3 Color:  time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3   Constraints Optional Constraint #1 Optional Constraint #2 cruise_ID Date TIME_UTC time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3     != =~ <= >= = < >     != =~ <= >= = < > cruise_ID Date TIME_UTC time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3     != =~ <= >= = < >     != =~ <= >= = < > cruise_ID Date TIME_UTC time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3     != =~ <= >= = < >     != =~ <= >= = < > cruise_ID Date TIME_UTC time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3     != =~ <= >= = < >     != =~ <= >= = < > cruise_ID Date TIME_UTC time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" cruise_ID Date TIME_UTC time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3 cruise_ID Date TIME_UTC time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3 cruise_ID Date TIME_UTC time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3 cruise_ID Date TIME_UTC time latitude longitude CDOM Chl_a Fv_Fm PE_1 PE_2 PE_3 ")   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 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 {
  cruise_ID {
    String long_name "Cruise_id";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  TIME_UTC {
    String long_name "Time_utc";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -17.18643, 6.599072;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 113.911, 136.5437;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  CDOM {
    Float32 actual_range 0.0, 18288.4;
    String long_name "Cdom";
    String units "rfu";
  }
  Chl_a {
    Float32 actual_range 0.0, 33.16278;
    String long_name "Chl_a";
    String units "mg m-3";
  }
  Fv_Fm {
    Float32 actual_range 2.3e-4, 5770.185;
    String long_name "Fv_fm";
    String units "unitless";
  }
  PE_1 {
    Float32 actual_range 0.0, 174543.0;
    String long_name "Pe_1";
    String units "rfu";
  }
  PE_2 {
    Float32 actual_range 0.0, 63818.64;
    String long_name "Pe_2";
    String units "rfu";
  }
  PE_3 {
    Float32 actual_range 0.0, 300838.8;
    String long_name "Pe_3";
    String units "rfu";
  }
 }
  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 defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.944302.1";
    Float64 Easternmost_Easting 136.5437;
    Float64 geospatial_lat_max 6.599072;
    Float64 geospatial_lat_min -17.18643;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 136.5437;
    Float64 geospatial_lon_min 113.911;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-10-07T22:39:02Z (local files)
2025-10-07T22:39:02Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_944302_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/944302";
    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.";
    Float64 Northernmost_Northing 6.599072;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -17.18643;
    String summary "The  Automatic Laser Fluorometric Analyzer (ALFA)  is a state-of-the-art instrument, that combines high-resolution spectral measurements of blue (405 nm) and green (532 nm) laser-stimulated fluorescence, with spectral deconvolution techniques to estimate CDOM, phytoplankton variable fluorescence (Fv/Fm), Chl a and three types of phycobiliprotein pigments. This data was collected using the ALFA in Underway fluorescence mode and sampling in the western Eastern Indian Ocean Upwelling region on the R/V Roger Ravelle in January - March 2022 (BLOOFINZ). In underway mode, the ALF is connected to the ship's uncontaminated seawater flow-through system allowing for continuous measurements in water drawn from approximately 5m below the surface. All fluorescence values are Raman-normalized, with the exception of Chl a, which was calibrated with acetone extracted samples measured in a Turner Designs® Trilogy Fluorometer. The instrument is set up to make these measurements approx. every minute. See RR2201 cruise report in related publications.";
    String title "[ALFA data - Indonesian Through Flow Region] - Advanced Laser Fluorescence Analyzer (ALFA) data from the Indonesian Through Flow Region from the R/V Roger Ravelle (RR2201) from January to March 2022 (Collaborative Research: Mesoscale variability in nitrogen sources and food-web dynamics supporting larval southern bluefin tuna in the eastern Indian Ocean)";
    Float64 Westernmost_Easting 113.911;
  }
}

 

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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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