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Dataset Title:	[Northern Gulf of Mexico pore water constituents Fall 2020] - Depth profiles of pore water constituents from sediment cores collected on the Louisiana Shelf of the Northern Gulf of Mexico during November 2020 on R/V Savannah cruise SAV- 20-07 (Importance of Riverine Discharge on the Benthic Flux of Alkalinity to Continental Margins)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_904417_v1)
Range:	longitude = -90.30405 to -89.59939°E
Information:	Summary | License | Metadata | Background | Data Access Form | Files

 

Graph Type:  lines linesAndMarkers markers sticks X Axis:  longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d Y Axis:  longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d Color:  longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d   Constraints Optional Constraint #1 Optional Constraint #2 Year Month Day Date Collection_Type Station longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d     != =~ <= >= = < >     != =~ <= >= = < > Year Month Day Date Collection_Type Station longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d     != =~ <= >= = < >     != =~ <= >= = < > Year Month Day Date Collection_Type Station longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d     != =~ <= >= = < >     != =~ <= >= = < > Year Month Day Date Collection_Type Station longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d     != =~ <= >= = < >     != =~ <= >= = < > Year Month Day Date Collection_Type Station longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d     != =~ <= >= = < >     != =~ <= >= = < >   Server-side Functions  distinct() orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Year Month Day Date Collection_Type Station longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d Year Month Day Date Collection_Type Station longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d Year Month Day Date Collection_Type Station longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d Year Month Day Date Collection_Type Station longitude Lat sample_ID Sediment_depth_cm DIC sd_DIC PO4 sd_PO4 NH4 sd_NH4 TA sd_TA d13C_DIC sd_d13C_DIC Mnd sd_Mnd Cad sd_Cad Fe_II sd_Fe_II Fed sd_Fed Fe_III_d sd_Fe_III_d ")   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 {
  Year {
    String long_name "Year";
    String units "unitless";
  }
  Month {
    String long_name "Month";
    String units "unitless";
  }
  Day {
    String long_name "Day";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Collection_Type {
    String long_name "Collection_type";
    String units "unitless";
  }
  Station {
    String long_name "Station";
    String units "unitless";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -90.30405, -89.59939;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Lat {
    Float32 actual_range 28.60353, 28.91338;
    String long_name "Lat";
    String units "degrees_north";
  }
  sample_ID {
    Int32 actual_range 0, 23;
    String long_name "Sample_id";
    String units "unitless";
  }
  Sediment_depth_cm {
    Float32 actual_range 0.0, 36.7;
    String long_name "Sediment_depth_cm";
    String units "centimeters (cm)";
  }
  DIC {
    Float32 actual_range 1.79141, 7.72583;
    String long_name "Dic";
    String units "millimoles per liter (mM)";
  }
  sd_DIC {
    Float32 actual_range 0.00254, 0.19895;
    String long_name "Sd_dic";
    String units "millimoles per liter (mM)";
  }
  PO4 {
    Float32 actual_range 0.234, 111.886;
    String long_name "Po4";
    String units "micromoles per liter (uM)";
  }
  sd_PO4 {
    Float32 actual_range 0.009, 1.721;
    String long_name "Sd_po4";
    String units "micromoles per liter (uM)";
  }
  NH4 {
    Float32 actual_range 7.034, 4453.495;
    String long_name "Nh4";
    String units "micromoles per liter (uM)";
  }
  sd_NH4 {
    Float32 actual_range 0.334, 327.583;
    String long_name "Sd_nh4";
    String units "micromoles per liter (uM)";
  }
  TA {
    Float32 actual_range 2.39117, 9.0595;
    String long_name "Ta";
    String units "millimoles per liter (mM)";
  }
  sd_TA {
    Float32 actual_range 8.06576e-4, 0.49991;
    String long_name "Sd_ta";
    String units "millimoles per liter (mM)";
  }
  d13C_DIC {
    Float32 actual_range -14.408, 0.2745;
    String long_name "D13c_dic";
    String units "per mil (‰)";
  }
  sd_d13C_DIC {
    Float32 actual_range 0.00236, 0.27035;
    String long_name "Sd_d13c_dic";
    String units "per mil (‰)";
  }
  Mnd {
    Float32 actual_range 0.05889, 625.1616;
    String long_name "Mnd";
    String units "micromoles per liter (uM)";
  }
  sd_Mnd {
    Float32 actual_range 0.00777, 16.72205;
    String long_name "Sd_mnd";
    String units "micromoles per liter (uM)";
  }
  Cad {
    Float32 actual_range 9.363, 12.364;
    String long_name "Cad";
    String units "millimoles per liter (mM)";
  }
  sd_Cad {
    Float32 actual_range 0.016, 0.216;
    String long_name "Sd_cad";
    String units "millimoles per liter (mM)";
  }
  Fe_II {
    Float32 actual_range 0.105, 32.674;
    String long_name "Fe_ii";
    String units "micromoles per liter (uM)";
  }
  sd_Fe_II {
    Float32 actual_range 0.061, 19.298;
    String long_name "Sd_fe_ii";
    String units "micromoles per liter (uM)";
  }
  Fed {
    Float32 actual_range 0.0, 61.019;
    String long_name "Fed";
    String units "micromoles per liter (uM)";
  }
  sd_Fed {
    Float32 actual_range 0.145, 2.03;
    String long_name "Sd_fed";
    String units "micromoles per liter (uM)";
  }
  Fe_III_d {
    Float32 actual_range 0.0, 44.752;
    String long_name "Fe_iii_d";
    String units "micromoles per liter (uM)";
  }
  sd_Fe_III_d {
    Float32 actual_range 0.158, 19.317;
    String long_name "Sd_fe_iii_d";
    String units "micromoles per liter (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.904417.1";
    Float64 Easternmost_Easting -89.59939;
    Float64 geospatial_lon_max -89.59939;
    Float64 geospatial_lon_min -90.30405;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-06T01:58:42Z (local files)
2024-11-06T01:58:42Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_904417_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/904417";
    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 data set reports depth profiles of pore water concentrations of dissolved inorganic carbon (DIC), orthophosphate (PO43-), ammonium (NH4+), total alkalinity (TA), carbon isotopic fractionation of DIC (13C-DIC), dissolved manganese (Mnd), dissolved calcium (Cad), reduced iron (Fe(II)), total dissolved Fe (Fed), and dissolved Fe(III) (Fe(III)d) by the difference of total dissolved Fe and Fe(II). These pore water data were obtained from sediment cores collected at five different stations on the Louisiana Shelf on the Northern Gulf of Mexico during the week of November 3-6, 2020 using an MC-800 multi-corer. These stations extend from the middle of the shelf offshore from Cocodrie, LA to the mouth of the Mississippi River North West Pass. All cores were processed within a few hours after collection. The field sampling was conducted during R/V Savannah cruise SAV-20-07.

The pore waters were first extracted by slicing sediment cores of < 25 centimeters (cm) long and centrifugation of the pore waters under N2 atmosphere to avoid air contamination. Pore waters were then immediately filtered through 0.22-micrometer (um) PSE syringe filters under N2 atmosphere and either analyzed immediately onboard (Fe speciation, orthophosphate, DIC), preserved acidified with hydrochloric acid at 4 degrees Celsius (Cad, Mnd), frozen (ammonium), or preserved at 4 degrees Celsius after addition of HgCl2 (TA) until analysis. In addition, samples for TA and carbon isotopic analyses were preserved in glass bottles, whereas other samples were preserved in polypropylene containers. DIC was analyzed by flow injection analysis (Hall and Aller, 1992), orthophosphate, ammonium, and Fe speciation by spectrophotometry (Murphy and Riley, 1962; Strickland and Parsons, 1972; Stookey, 1970), TA by Gran titration (Gran, 1952),  the carbon isotopic signature by isotope ratio mass spectrometry (Wang et al, 2018), and Mnd and Cad by ICP-MS (Magette et al., 2023 In preparation). \"nd\" in the spreadsheet is provided when samples were not analyzed for these species (\"nd\" = not determined).";
    String title "[Northern Gulf of Mexico pore water constituents Fall 2020] - Depth profiles of pore water constituents from sediment cores collected on the Louisiana Shelf of the Northern Gulf of Mexico during November 2020 on R/V Savannah cruise SAV-20-07 (Importance of Riverine Discharge on the Benthic Flux of Alkalinity to Continental Margins)";
    Float64 Westernmost_Easting -90.30405;
  }
}

 

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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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