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Dataset Title:	[RR2311 NH4 and NO2] - Ammonium (NH4) and Nitrite (NO2) concentrations from R/ V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific from November to December 2023 (Nitrite Oxidation in Oxygen Minimum Zones)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_931516_v1)
Range:	longitude = -81.0005 to -71.10026°E, latitude = -22.90058 to -13.99992°N, depth = 4.865 to 3002.359m, time = 2023-11-21T16:32:41Z to 2023-12-18T19:02:23Z
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks vectors X Axis:  time latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4 Y Axis:  time latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4 Color:  time latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4   Constraints Optional Constraint #1 Optional Constraint #2 time Date_Local latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Station Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4     != =~ <= >= = < >     != =~ <= >= = < > time Date_Local latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Station Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4     != =~ <= >= = < >     != =~ <= >= = < > time Date_Local latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Station Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4     != =~ <= >= = < >     != =~ <= >= = < > time Date_Local latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Station Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4     != =~ <= >= = < >     != =~ <= >= = < > time Date_Local latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Station Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" time Date_Local latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Station Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4 time Date_Local latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Station Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4 time Date_Local latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Station Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4 time Date_Local latitude Lat_Deg Lat_Min longitude Long_Deg Long_Min Station Cast_Number Niskin_Bottle depth Target_Depth Nitrite NH4 ")   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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.700584361e+9, 1.702926143e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Ctd_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_Local {
    String long_name "Date_local";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -22.90058, -13.99992;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Ctd_latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  Lat_Deg {
    Int32 actual_range -22, -14;
    String long_name "Lat_deg";
    String units "degrees";
  }
  Lat_Min {
    Float32 actual_range 0.0, 54.02;
    String long_name "Lat_min";
    String units "minutes";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -81.0005, -71.10026;
    String axis "X";
    String ioos_category "Location";
    String long_name "Ctd_longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Long_Deg {
    Int32 actual_range -81, -71;
    String long_name "Long_deg";
    String units "degrees";
  }
  Long_Min {
    Float32 actual_range 0.0, 59.956;
    String long_name "Long_min";
    String units "minutes";
  }
  Station {
    String long_name "Station";
    String units "unitless";
  }
  Cast_Number {
    Int32 actual_range 1, 109;
    String long_name "Cast_number";
    String units "unitless";
  }
  Niskin_Bottle {
    Int32 actual_range 1, 24;
    String long_name "Niskin_bottle";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 4.865, 3002.359;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Ctd_depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Target_Depth {
    Int32 actual_range 3, 3000;
    String long_name "Target_depth";
    String units "m";
  }
  Nitrite {
    Float32 actual_range -0.34, 1500.0;
    String long_name "Nitrite";
    String units "micromolar (uM)";
  }
  NH4 {
    Float32 actual_range -0.353, 0.713;
    String long_name "Nh4";
    String units "micromolar (uM)";
  }
 }
  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.931516.1";
    Float64 Easternmost_Easting -71.10026;
    Float64 geospatial_lat_max -13.99992;
    Float64 geospatial_lat_min -22.90058;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -71.10026;
    Float64 geospatial_lon_min -81.0005;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 3002.359;
    Float64 geospatial_vertical_min 4.865;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-21T12:23:25Z (local files)
2024-11-21T12:23:25Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_931516_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/931516";
    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 -13.99992;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -22.90058;
    String summary 
"Water samples were collected as part of a 32-day cruise in the Eastern Tropical South Pacific, aiming to study nitrification in this oxygen minimum region of the ocean. In the Event Log for RR2311, transect stations are designated \"T\" and process stations are designated \"PS\". Nutrients were collected on the first cast upon arrival at a process station, and in one case on the last day, of a 2-5 day station occupation.

Ammonium concentrations were initially planned to be measured in high-resolution depth profiles at each major process and transect station. However, due to the exceedingly low concentrations detected by the shipboard method, only the data from the first process station were included, with remaining samples frozen for later analysis ashore. Ammonium concentration was measured manually using fluorometric methods (Holmes et al. 1999), with water collected using Niskin bottles. Five ml volumes were analyzed immediately upon retrieval without filtration.

High-resolution profiles were also obtained for nitrite measurements at both process and transect stations. Nitrite concentration was determined manually using colorimetric methods (Hansen and Koroleff 1999) on duplicate samples, measured immediately after collection without filtration.";
    String time_coverage_end "2023-12-18T19:02:23Z";
    String time_coverage_start "2023-11-21T16:32:41Z";
    String title "[RR2311 NH4 and NO2] - Ammonium (NH4) and Nitrite (NO2) concentrations from R/V Roger Revelle cruise RR2311 in the Eastern Tropical South Pacific from November to December 2023 (Nitrite Oxidation in Oxygen Minimum Zones)";
    Float64 Westernmost_Easting -81.0005;
  }
}

 

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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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