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Dataset Title:  [Major inorganic ions in seawater near the BATS station, cruises AE2113 and
AE2303] - Major inorganic ions from seawater collected near the BATS station
during R/V Atlantic Explorer cruises AE2113 (July 2021) and AE2303 (January
2023) (Collaborative Research: Seasonal Variability in refractory dissolved
organic carbon fluxes associated with primary marine aerosol emitted from the
oceans)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_930111_v1)
Range: longitude = -64.183 to -64.159°E, latitude = 31.652 to 31.671°N, depth = 4.0 to 180.0m, time = 2021-07-25T18:53:00Z to 2023-01-28T13:33:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
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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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise_ID {
    String long_name "Cruise_id";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.62723918e+9, 1.67491278e+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";
  }
  CTD_filename {
    String long_name "Ctd_filename";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 31.652, 31.671;
    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 -64.183, -64.159;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Station {
    String long_name "Station";
    String units "unitless";
  }
  Cast {
    Int32 actual_range 2, 12;
    String long_name "Cast";
    String units "unitless";
  }
  CTD_Bottle {
    Int32 actual_range 1, 23;
    String long_name "Ctd_bottle";
    String units "unitless";
  }
  Temperature {
    Float32 actual_range 19.9, 28.51;
    String long_name "Temperature";
    String units "degree Celsius";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 4.0, 180.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Sampling_depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Chloride_Ion {
    Float32 actual_range 18.9, 21.7;
    String long_name "Chloride_ion";
    String units "Part per thousand (ppt)";
  }
  Bromide_Ion {
    Float32 actual_range 0.05, 0.12;
    String long_name "Bromide_ion";
    String units "Part per thousand (ppt)";
  }
  Sulfate_Ion {
    Float32 actual_range 2.6, 3.3;
    String long_name "Sulfate_ion";
    String units "Part per thousand (ppt)";
  }
  Sodium_Ion {
    Float32 actual_range 10.7, 12.3;
    String long_name "Sodium_ion";
    String units "Part per thousand (ppt)";
  }
  Potassium_Ion {
    Float32 actual_range 0.26, 0.52;
    String long_name "Potassium_ion";
    String units "Part per thousand (ppt)";
  }
  Magnesium_Ion {
    Float32 actual_range 1.1, 1.6;
    String long_name "Magnesium_ion";
    String units "Part per thousand (ppt)";
  }
  Calcium_Ion {
    Float32 actual_range 0.25, 0.63;
    String long_name "Calcium_ion";
    String units "Part per thousand (ppt)";
  }
 }
  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.930111.1";
    Float64 Easternmost_Easting -64.159;
    Float64 geospatial_lat_max 31.671;
    Float64 geospatial_lat_min 31.652;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -64.159;
    Float64 geospatial_lon_min -64.183;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 180.0;
    Float64 geospatial_vertical_min 4.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-08T21:04:45Z (local files)
2024-11-08T21:04:45Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_930111_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/930111";
    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 31.671;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 31.652;
    String summary "This dataset includes the concentrations of seven major inorganic ions determined in near surface (approximately 5 m) seawater samples collected from the Bermuda Atlantic Time-series Study (BATS) station during a summer cruise in 2021 (AE2113) and a winter cruise in 2023 (AE2303) aboard the R/V Atlantic Explorer. The major ions in each sample were quantified using a Dionex dual channel model ICS 6000 high-performance ion chromatograph (ICS-6000 DP). This dataset was generated and prepared by Dr. Lei Xue under the supervision of Dr. David Kieber at the State University of New York, College of Environmental Science and Forestry. These data were used to determine the enrichment factor of major ions in primary marine aerosol (PMA) samples and to calculate the enrichment factors of protein/peptides and carbohydrates in PMA samples relative to seawater and the associated seasonal variability. This work is part of a larger study to understand the seasonal variability in the fraction of refractory organic carbon in primary marine aerosol at the BATS station.";
    String time_coverage_end "2023-01-28T13:33:00Z";
    String time_coverage_start "2021-07-25T18:53:00Z";
    String title "[Major inorganic ions in seawater near the BATS station, cruises AE2113 and AE2303] - Major inorganic ions from seawater collected near the BATS station during R/V Atlantic Explorer cruises AE2113 (July 2021) and AE2303 (January 2023) (Collaborative Research: Seasonal Variability in refractory dissolved organic carbon fluxes associated with primary marine aerosol emitted from the oceans)";
    Float64 Westernmost_Easting -64.183;
  }
}

 

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.

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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