BCO-DMO ERDDAP
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Dataset Title:	[Seawater profiles of vanadium concentrations and isotope compositions] - Vanadium concentrations and isotope compositions of seawater samples collected from the South Atlantic Ocean (2010 UK GEOTRACES cruise GA10/D357 Leg 1) and the Black Sea (2013 MedBlack GEOTRACES cruise leg 2, 64PE373, R/V Pelagia) (Fingerprinting and Calibrating Low Oxygen Conditions Using Vanadium Isotopes)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_957165_v1)
Range:	longitude = 0.92 to 31.4°E, latitude = -39.99 to 42.52°N, depth = 5.0 to 4501.0m
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form \| Files

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Constraints	Optional Constraint #1		Optional Constraint #2

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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.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise_ID {
    String long_name "Cruise_id";
    String units "unitless";
  }
  Location {
    String long_name "Location";
    String units "unitless";
  }
  Station {
    Int32 actual_range 2, 6;
    String long_name "Station";
    String units "unitless";
  }
  Sample_ID {
    String long_name "Sample_id";
    String units "unitless";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range 0.92, 31.4;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -39.99, 42.52;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 5, 4501;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Salinity {
    Float32 actual_range 34.41, 34.88;
    String long_name "Salinity";
    String units "PSU";
  }
  Seawater_V_ng_g {
    Float32 actual_range 0.771, 1.85;
    String long_name "Seawater_v_ng_g";
    String units "nanograms per gram (ng/g)";
  }
  Seawater_V_nmol_kg {
    Float32 actual_range 15.2, 36.4;
    String long_name "Seawater_v_nmol_kg";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  one_RSD {
    Float32 actual_range 0.5, 5.0;
    String long_name "One_rsd";
    String units "percent (%)";
  }
  Seawater_V_normalized_nmol_kg {
    Float32 actual_range 33.2, 36.8;
    String long_name "Seawater_v_normalized_nmol_kg";
    String units "nanomoles per kilogram (nmol/kg)";
  }
  Yielded_V {
    Float32 actual_range 0.56, 1.67;
    String long_name "Yielded_v";
    String units "nanograms per gram";
  }
  Yielding_rate {
    Int32 actual_range 71, 92;
    String long_name "Yielding_rate";
    String units "percent (%)";
  }
  d51V {
    Float32 actual_range -0.074, 0.49;
    String long_name "D51v";
    String units "per mil (‰)";
  }
  two_SD {
    Float32 actual_range 0.02, 0.16;
    String long_name "Two_sd";
    String units "per mil (‰)";
  }
  number_duplicates {
    Int32 actual_range 1, 5;
    String long_name "Number_duplicates";
    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.957165.1";
    Float64 Easternmost_Easting 31.4;
    Float64 geospatial_lat_max 42.52;
    Float64 geospatial_lat_min -39.99;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 31.4;
    Float64 geospatial_lon_min 0.92;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 4501.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-04-04T12:48:20Z (local files)
2025-04-04T12:48:20Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_957165_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/957165";
    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 42.52;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -39.99;
    String summary "These data include vanadium concentrations and isotope compositions of seawater samples from the South Atlantic Ocean (collected during the UK GEOTRACES cruise GA10/D357 Leg 1) and the shallow water columns in the Black Sea (collected during the leg 2 of the MedBlack GEOTRACES cruises, 64PE373, R/V Pelagia). The resin column chromatography method is utilized to purify vanadium. The vanadium concentrations were measured with the Agilent 7500ce Inductively Coupled Plasma Mass Spectrometry (ICP-MS) and Thermo Element 2 ICP‑MS, and the isotope compositions were measured with the Neptune Multi-collector-ICP-MS. These data assess the cycling of vanadium isotopes in seawater and were collected by Dr. Siqi Li at Florida State University.";
    String title "[Seawater profiles of vanadium concentrations and isotope compositions] - Vanadium concentrations and isotope compositions of seawater samples collected from the South Atlantic Ocean (2010 UK GEOTRACES cruise GA10/D357 Leg 1) and the Black Sea (2013 MedBlack GEOTRACES cruise leg 2, 64PE373, R/V Pelagia) (Fingerprinting and Calibrating Low Oxygen Conditions Using Vanadium Isotopes)";
    Float64 Westernmost_Easting 0.92;
  }
}

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 (external link)

Data Access Protocol (DAP) (external link)

and its selection constraints (external link)

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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