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Dataset Title:	[CTD Niskin bottle data from FKt230602 and Fkt231202] - CTD Niskin bottle data from research cruises FKt230602 and Fkt231202 on R/V Falkor (too) in the Central Eastern Pacific Ocean, offshore Costa Rica from June to December 2023 (Octopus Odyssey)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_995434_v1)
Range:	longitude = -87.3238 to -85.643°E, latitude = 8.6202 to 9.2406°N, depth = 1.374 to 3674.101m, time = 2023-06-03T04:07:07Z to 2023-12-10T04:52:16Z
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  Station time depth Bottle latitude longitude T Sal O2 O2_2 Y Axis:  Station time depth Bottle latitude longitude T Sal O2 O2_2 Color:  Station time depth Bottle latitude longitude T Sal O2 O2_2   Constraints Optional Constraint #1 Optional Constraint #2 Sample_Type Cruise_Number Station time Date TimeUTC Cast depth Subsample Sample_code Observations Responsible Bottle latitude longitude T Sal O2 O2_2     != =~ <= >= = < >     != =~ <= >= = < > Sample_Type Cruise_Number Station time Date TimeUTC Cast depth Subsample Sample_code Observations Responsible Bottle latitude longitude T Sal O2 O2_2     != =~ <= >= = < >     != =~ <= >= = < > Sample_Type Cruise_Number Station time Date TimeUTC Cast depth Subsample Sample_code Observations Responsible Bottle latitude longitude T Sal O2 O2_2     != =~ <= >= = < >     != =~ <= >= = < > Sample_Type Cruise_Number Station time Date TimeUTC Cast depth Subsample Sample_code Observations Responsible Bottle latitude longitude T Sal O2 O2_2     != =~ <= >= = < >     != =~ <= >= = < > Sample_Type Cruise_Number Station time Date TimeUTC Cast depth Subsample Sample_code Observations Responsible Bottle latitude longitude T Sal O2 O2_2     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Sample_Type Cruise_Number Station time Date TimeUTC Cast depth Subsample Sample_code Observations Responsible Bottle latitude longitude T Sal O2 O2_2 Sample_Type Cruise_Number Station time Date TimeUTC Cast depth Subsample Sample_code Observations Responsible Bottle latitude longitude T Sal O2 O2_2 Sample_Type Cruise_Number Station time Date TimeUTC Cast depth Subsample Sample_code Observations Responsible Bottle latitude longitude T Sal O2 O2_2 Sample_Type Cruise_Number Station time Date TimeUTC Cast depth Subsample Sample_code Observations Responsible Bottle latitude longitude T Sal O2 O2_2 ")   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 {
  Sample_Type {
    String long_name "Sample_type";
    String units "unitless";
  }
  Cruise_Number {
    String long_name "Cruise_number";
    String units "unitless";
  }
  Station {
    Int32 actual_range 1, 13;
    String long_name "Station";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.685765227e+9, 1.702183936e+9;
    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";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  TimeUTC {
    String long_name "Timeutc";
    String units "unitless";
  }
  Cast {
    String long_name "Cast";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 1.374, 3674.101;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Subsample {
    String long_name "Subsample";
    String units "unitless";
  }
  Sample_code {
    String long_name "Sample_code";
    String units "unitless";
  }
  Observations {
    String long_name "Observations";
    String units "unitless";
  }
  Responsible {
    String long_name "Responsible";
    String units "unitless";
  }
  Bottle {
    Int32 actual_range 1, 9;
    String long_name "Bottle";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 8.6202, 9.2406;
    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 -87.3238, -85.643;
    String axis "X";
    String ioos_category "Location";
    String long_name "Long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  T {
    Float32 actual_range 1.8379, 30.5909;
    String long_name "T";
    String units "degrees Celsius";
  }
  Sal {
    Float32 actual_range 31.6762, 34.8874;
    String long_name "Sal";
    String units "grams per killogram (g/kg)";
  }
  O2 {
    Float32 actual_range 3.7125, 214.682;
    String long_name "O2";
    String units "micromoles per kilogram (umol/kg)";
  }
  O2_2 {
    Float32 actual_range 3.6611, 205.504;
    String long_name "O2_2";
    String units "micromoles per kilogram (umol/kg)";
  }
 }
  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.995434.1";
    Float64 Easternmost_Easting -85.643;
    Float64 geospatial_lat_max 9.2406;
    Float64 geospatial_lat_min 8.6202;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -85.643;
    Float64 geospatial_lon_min -87.3238;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 3674.101;
    Float64 geospatial_vertical_min 1.374;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-04-08T22:34:04Z (local files)
2026-04-08T22:34:04Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_995434_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/995434";
    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 9.2406;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 8.6202;
    String summary "This dataset includes water sample data collected using a CTD Niskin Rosette during two Octopus Odyssey expeditions aboard R/V Falkor (too) in June and December 2023. The dataset covers sampling events at Dorado Outcrop and Pampa Submarina, a hydrothermally active area off Costa Rica's Pacific margin. The dataset includes parameters such as sample type, cruise number, station number, cast number, depth, sample code, temperature, salinity, and oxygen concentrations, along with associated observational notes. The data were collected using a CTD rosette with 24 Niskin bottles, which were descended to various depths to assess hydrographic conditions in the region, contributing to a better understanding of hydrography, ecology, and water column dynamics. The research was conducted by an international team in collaboration with Costa Rican institutions, and the dataset is instrumental in oceanographic studies related to seamount ecosystems and fluid circulation.";
    String time_coverage_end "2023-12-10T04:52:16Z";
    String time_coverage_start "2023-06-03T04:07:07Z";
    String title "[CTD Niskin bottle data from FKt230602 and Fkt231202] - CTD Niskin bottle data from research cruises FKt230602 and Fkt231202 on R/V Falkor (too) in the Central Eastern Pacific Ocean, offshore Costa Rica from June to December 2023 (Octopus Odyssey)";
    Float64 Westernmost_Easting -87.3238;
  }
}

 

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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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