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Dataset Title:	[Particulate Carbon Concentrations and Stable Carbon Isotopes] - Particulate Carbon Concentrations and Stable Carbon Isotopes in Marine Particles Captured by In Situ Mclane Pumps at Cocos Ridge Coco Ridge (Eastern Equatorial Pacific) during cruise SR2113 between November - December 2021 (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_925258_v1)
Range:	longitude = -88.26093 to -86.59322°E, depth = 10.0 to 2990.0m
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  Station_Number Latitude longitude depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC Y Axis:  Station_Number Latitude longitude depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC Color:  Station_Number Latitude longitude depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC   Constraints Optional Constraint #1 Optional Constraint #2 GFF_ID Station_Number Latitude longitude Date depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC     != =~ <= >= = < >     != =~ <= >= = < > GFF_ID Station_Number Latitude longitude Date depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC     != =~ <= >= = < >     != =~ <= >= = < > GFF_ID Station_Number Latitude longitude Date depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC     != =~ <= >= = < >     != =~ <= >= = < > GFF_ID Station_Number Latitude longitude Date depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC     != =~ <= >= = < >     != =~ <= >= = < > GFF_ID Station_Number Latitude longitude Date depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" GFF_ID Station_Number Latitude longitude Date depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC GFF_ID Station_Number Latitude longitude Date depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC GFF_ID Station_Number Latitude longitude Date depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC GFF_ID Station_Number Latitude longitude Date depth Bottom_Depth LSF_PIC_13C LSF_PIC SSF_PIC_13C SSF_PIC LSF_TC_13C LSF_TC SSF_TC_13C SSF_TC ")   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 )

 

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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 {
  GFF_ID {
    String long_name "Gff_id";
    String units "unitless";
  }
  Station_Number {
    Float32 actual_range 1.0, 5.0;
    String long_name "Station_number";
    String units "unitless";
  }
  Latitude {
    Float32 actual_range 5.1696, 6.784883;
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -88.26093, -86.59322;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 10, 2990;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Bottom_Depth {
    Int32 actual_range 1631, 3225;
    String long_name "Bottom_depth";
    String units "meters";
  }
  LSF_PIC_13C {
    Float32 actual_range -4.06658, 1.121173;
    String long_name "Lsf_pic_13c";
    String units "per mil";
  }
  LSF_PIC {
    Float32 actual_range 1.96281e-4, 0.02388702;
    String long_name "Lsf_pic";
    String units "micro-moles per kilogram";
  }
  SSF_PIC_13C {
    Float32 actual_range -4.519311, 2.238184;
    String long_name "Ssf_pic_13c";
    String units "per mil";
  }
  SSF_PIC {
    Float32 actual_range 6.46127e-4, 0.03774082;
    String long_name "Ssf_pic";
    String units "micro-moles per kilogram";
  }
  LSF_TC_13C {
    Float32 actual_range -29.37111, -16.63064;
    String long_name "Lsf_tc_13c";
    String units "per mil";
  }
  LSF_TC {
    Float32 actual_range -4.29807e-4, 0.4615382;
    String long_name "Lsf_tc";
    String units "micro-moles per kilogram";
  }
  SSF_TC_13C {
    Float32 actual_range -27.23961, -19.79717;
    String long_name "Ssf_tc_13c";
    String units "per mil";
  }
  SSF_TC {
    Float32 actual_range 0.07998423, 3.044137;
    String long_name "Ssf_tc";
    String units "micro-moles per kilogram";
  }
 }
  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.925258.1";
    Float64 Easternmost_Easting -86.59322;
    Float64 geospatial_lon_max -86.59322;
    Float64 geospatial_lon_min -88.26093;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 2990.0;
    Float64 geospatial_vertical_min 10.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-10-06T15:30:07Z (local files)
2024-10-06T15:30:07Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_925258_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/925258";
    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 includes particulate carbon concentrations and isotopes collected in December, 2021. Suspended particles are collected at 4 different stations near Cocos Ridge, at two different size fractions using Mclane pumps.  The two size fractions are large size fraction (LSF) that is >51 um, and small size fraction (SSF) that is 0.5 -- 51 um. Concentrations and stable carbon isotopes of particulate inorganic carbon (PIC) and total carbon (TC) are measured and reported. PIC content are measured by acidifying a subsample of the Glass Fiber Filter (GFF) and measuring total CO2 released using a Picarro Cavity Ring-down Spectroscopy. TC content are analyzed by burning a subsample of the GFF on Elemental Analyzer (EA). Samples were collected during SR2113 onboard Sally Ride, under the project \"new approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations\", as a water-column side determination of particle compositions and carbonate dissolution. This data reveals changes in concentrations and stable carbon isotopes with water depth, and has implications for multiple biogeochemical processes associated with both the inorganic and the organic carbon within marine particles in the water column.";
    String title "[Particulate Carbon Concentrations and Stable Carbon Isotopes] - Particulate Carbon Concentrations and Stable Carbon Isotopes in Marine Particles Captured by In Situ Mclane Pumps at Cocos Ridge Coco Ridge (Eastern Equatorial Pacific) during cruise SR2113 between November - December 2021 (Collaborative Research: New approaches to study calcium carbonate dissolution on the sea floor and its impact on paleo-proxy interpretations)";
    Float64 Westernmost_Easting -88.26093;
  }
}

 

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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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