ERDDAP > tabledap > Make A Graph

Dataset Title:	[AE1913 CTD data] - CTD profiles from R/V Atlantic Explorer cruise AE1913 in the Sargasso Sea in June of 2019 (Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_916411_v2)
Range:	longitude = -71.51041 to -64.16494°E, latitude = 31.37121 to 38.52899°N, depth = 0.993 to 5187.238m, time = 2019-06-16T17:36:29Z to 2019-06-27T03:02:35Z
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  time latitude longitude depth c1mS_cm t090C prDM sbeox0Mm_L flC CStarTr0 Y Axis:  time latitude longitude depth c1mS_cm t090C prDM sbeox0Mm_L flC CStarTr0 Color:  time latitude longitude depth c1mS_cm t090C prDM sbeox0Mm_L flC CStarTr0   Constraints Optional Constraint #1 Optional Constraint #2 Cast time latitude longitude depth c1mS_cm c0mS_cm t090C prDM sbeox0Mm_L flC CStarTr0 sal00 flag     != =~ <= >= = < >     != =~ <= >= = < > Cast time latitude longitude depth c1mS_cm c0mS_cm t090C prDM sbeox0Mm_L flC CStarTr0 sal00 flag     != =~ <= >= = < >     != =~ <= >= = < > Cast time latitude longitude depth c1mS_cm c0mS_cm t090C prDM sbeox0Mm_L flC CStarTr0 sal00 flag     != =~ <= >= = < >     != =~ <= >= = < > Cast time latitude longitude depth c1mS_cm c0mS_cm t090C prDM sbeox0Mm_L flC CStarTr0 sal00 flag     != =~ <= >= = < >     != =~ <= >= = < > Cast time latitude longitude depth c1mS_cm c0mS_cm t090C prDM sbeox0Mm_L flC CStarTr0 sal00 flag     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Cast time latitude longitude depth c1mS_cm c0mS_cm t090C prDM sbeox0Mm_L flC CStarTr0 sal00 flag Cast time latitude longitude depth c1mS_cm c0mS_cm t090C prDM sbeox0Mm_L flC CStarTr0 sal00 flag Cast time latitude longitude depth c1mS_cm c0mS_cm t090C prDM sbeox0Mm_L flC CStarTr0 sal00 flag Cast time latitude longitude depth c1mS_cm c0mS_cm t090C prDM sbeox0Mm_L flC CStarTr0 sal00 flag ")   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 {
  Cast {
    String long_name "Cast";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.560706589e+9, 1.561604555e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Nmea_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 31.37121, 38.52899;
    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 -71.51041, -64.16494;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.993, 5187.238;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depsm";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  c1mS_cm {
    Float32 actual_range 32.17903, 60.93279;
    String long_name "C1ms_cm";
    String units "milliSiemens per centimeter (mS/cm)";
  }
  c0mS_cm {
    String long_name "C0ms_cm";
    String units "milliSiemens per centimeter (mS/cm)";
  }
  t090C {
    Float32 actual_range 2.195, 27.8802;
    String long_name "T090c";
    String units "degrees Celsius (deg C)";
  }
  prDM {
    Float32 actual_range 1.0, 5289.0;
    String long_name "Prdm";
    String units "Digiquartz (db)";
  }
  sbeox0Mm_L {
    Float32 actual_range -8.92, 286.79;
    String long_name "Sbeox0mm_l";
    String units "micromoles per liter (umol/l)";
  }
  flC {
    Float32 actual_range -0.0063, 4.9798;
    String long_name "Flc";
    String units "Micrograms per liter (ug/l)";
  }
  CStarTr0 {
    Float32 actual_range 85.7565, 100.479;
    String long_name "Cstartr0";
    String units "Percent (%)";
  }
  sal00 {
    String long_name "Sal00";
    String units "Practical Salinity Units (PSU)";
  }
  flag {
    String long_name "Flag";
    String units "unitless";
  }
 }
  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.916411.2";
    Float64 Easternmost_Easting -64.16494;
    Float64 geospatial_lat_max 38.52899;
    Float64 geospatial_lat_min 31.37121;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -64.16494;
    Float64 geospatial_lon_min -71.51041;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 5187.238;
    Float64 geospatial_vertical_min 0.993;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T06:03:16Z (local files)
2024-11-08T06:03:16Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_916411_v2.das";
    String infoUrl "https://www.bco-dmo.org/dataset/916411";
    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 38.52899;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 31.37121;
    String summary "Oceanographic samples were collected onboard the R/V Atlantic Explorer between June 16th - 28th 2019, along a transect beginning at the Bermuda Atlantic Time-series Station (BATS) in the Sargasso Sea and terminating in northeast US continental shelf waters. The R/V Atlantic Explorer CTD provided physicochemical contextualization (temperature, oxygen, fluorescence, turbidity) and was deployed at all stations except the last one, St. 9, due to time restrictions.";
    String time_coverage_end "2019-06-27T03:02:35Z";
    String time_coverage_start "2019-06-16T17:36:29Z";
    String title "[AE1913 CTD data] - CTD profiles from R/V Atlantic Explorer cruise AE1913 in the Sargasso Sea in June of 2019 (Collaborative Research: Direct Characterization of Adaptive Nutrient Stress Responses in the Sargasso Sea using Protein Biomarkers and a Biogeochemical AUV)";
    Float64 Westernmost_Easting -71.51041;
  }
}

 

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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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