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Dataset Title:  [Photosynthetic Pigments] - Photosynthetic pigments from sea ice samples
collected on R/V Nathaniel B. Palmer cruise NBP1910 along the Western Antarctic
Peninsula from November to December 2019 (Spring Blooms of Sea Ice Algae Along
the Western Antarctic Peninsula: Effects of Warming and Freshening on Cell
Physiology and Biogeochemical Cycles.)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_913222_v1)
Range: longitude = -68.196 to -64.02°E
Information:  Summary ? | License ? | 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 {
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Latitude {
    Float32 actual_range -67.774, -64.78;
    String long_name "Latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -68.196, -64.02;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Description {
    String long_name "Description";
    String units "unitless";
  }
  Sample_id {
    String long_name "Sample_id";
    String units "unitless";
  }
  Replicate {
    String long_name "Replicate";
    String units "unitless";
  }
  Chl_c3 {
    Float32 actual_range 0.0, 3.33;
    String long_name "Chl_c3";
    String units "micrograms per liter (ug/L)";
  }
  Chl_c1c2 {
    Float32 actual_range 0.17, 26.59;
    String long_name "Chl_c1c2";
    String units "micrograms per liter (ug/L)";
  }
  Perid {
    Float32 actual_range 0.0, 7.5;
    String long_name "Perid";
    String units "micrograms per liter (ug/L)";
  }
  ButFuc19 {
    Float32 actual_range 0.0, 1.31;
    String long_name "Butfuc19";
    String units "micrograms per liter (ug/L)";
  }
  Fuco {
    Float32 actual_range 0.52, 114.37;
    String long_name "Fuco";
    String units "micrograms per liter (ug/L)";
  }
  HexFuc19 {
    Float32 actual_range 0.0, 10.87;
    String long_name "Hexfuc19";
    String units "micrograms per liter (ug/L)";
  }
  Neo {
    Float32 actual_range 0.0, 2.47;
    String long_name "Neo";
    String units "micrograms per liter (ug/L)";
  }
  Prasino {
    Float32 actual_range 0.0, 0.0;
    String long_name "Prasino";
    String units "micrograms per liter (ug/L)";
  }
  Viola {
    Float32 actual_range 0.0, 2.94;
    String long_name "Viola";
    String units "micrograms per liter (ug/L)";
  }
  Diad {
    Float32 actual_range 0.22, 14.35;
    String long_name "Diad";
    String units "micrograms per liter (ug/L)";
  }
  Anther {
    Float32 actual_range 0.0, 1.28;
    String long_name "Anther";
    String units "micrograms per liter (ug/L)";
  }
  Allox {
    Float32 actual_range 0.0, 0.72;
    String long_name "Allox";
    String units "micrograms per liter (ug/L)";
  }
  Diat {
    Float32 actual_range 0.0, 2.96;
    String long_name "Diat";
    String units "micrograms per liter (ug/L)";
  }
  Lutein {
    Float32 actual_range 0.0, 0.06;
    String long_name "Lutein";
    String units "micrograms per liter (ug/L)";
  }
  Zeax {
    Float32 actual_range 0.0, 0.0;
    String long_name "Zeax";
    String units "micrograms per liter (ug/L)";
  }
  Gyro {
    Float32 actual_range 0.0, 0.0;
    String long_name "Gyro";
    String units "micrograms per liter (ug/L)";
  }
  Chl_b {
    Float32 actual_range 0.0, 0.15;
    String long_name "Chl_b";
    String units "micrograms per liter (ug/L)";
  }
  Chla_Allomer {
    Float32 actual_range 0.04, 13.1;
    String long_name "Chla_allomer";
    String units "micrograms per liter (ug/L)";
  }
  Chl_a {
    Float32 actual_range 0.83, 232.03;
    String long_name "Chl_a";
    String units "micrograms per liter (ug/L)";
  }
  Chla_prime {
    Float32 actual_range 0.06, 21.4;
    String long_name "Chla_prime";
    String units "micrograms per liter (ug/L)";
  }
  alpha_Carotene {
    Float32 actual_range 0.0, 0.08;
    String long_name "Alpha_carotene";
    String units "micrograms per liter (ug/L)";
  }
  beta_Carotene {
    Float32 actual_range 0.0, 13.44;
    String long_name "Beta_carotene";
    String units "micrograms per liter (ug/L)";
  }
  Chl_ide_a {
    Float32 actual_range 0.0, 14.09;
    String long_name "Chl_ide_a";
    String units "micrograms per liter (ug/L)";
  }
  Total_Chl_a {
    Float32 actual_range 1.01, 232.03;
    String long_name "Total_chl_a";
    String units "micrograms per liter (ug/L)";
  }
  ALL_Chl_a {
    Float32 actual_range 1.13, 266.54;
    String long_name "All_chl_a";
    String units "micrograms per liter (ug/L)";
  }
 }
  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.913222.1";
    Float64 Easternmost_Easting -64.02;
    Float64 geospatial_lon_max -64.02;
    Float64 geospatial_lon_min -68.196;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-03T17:35:30Z (local files)
2024-12-03T17:35:30Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_913222_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/913222";
    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 concentrations of photosynthetic pigments from sea ice samples at various stages of melt collected during the spring melt of November and December 2019 from coastal waters along the Western Antarctic Peninsula. Samples were collected during the R/V Nathaniel B. Palmer cruise NBP1910. Pigments were determined by high-performance liquid chromatography (HPLC).";
    String title "[Photosynthetic Pigments] - Photosynthetic pigments from sea ice samples collected on R/V Nathaniel B. Palmer cruise NBP1910 along the Western Antarctic Peninsula from November to December 2019 (Spring Blooms of Sea Ice Algae Along the Western Antarctic Peninsula: Effects of Warming and Freshening on Cell Physiology and Biogeochemical Cycles.)";
    Float64 Westernmost_Easting -68.196;
  }
}

 

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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