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Dataset Title:  [Compound-specific nitrogen stable isotope ratios of amino acids in size-
fractionated particles from Monterey Bay, CA, 2017] - Compound-specific
nitrogen stable isotope ratios of amino acids in size-fractionated particles
from Monterey Bay, CA, 2017 (Collaborative research: The effects of predator
traits on the structure of oceanic food webs)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_958460_v1)
Range: depth = 4.5 to 516.0m, time = 2017-07-31T18:30:00Z to 2017-08-03T16:59:00Z
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 {
  collection_date {
    String long_name "Collection_date";
    String units "unitless";
  }
  start_collection_local_PST {
    String long_name "Start_collection_local_pst";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5015258e+9, 1.50177954e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Start_collection_iso_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  end_collection_local_PST {
    String long_name "End_collection_local_pst";
    String units "unitless";
  }
  end_collection_ISO_UTC {
    Float64 actual_range 1.501533e+9, 1.50178494e+9;
    String ioos_category "Time";
    String long_name "End_collection_iso_utc";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  start_lat {
    Float32 actual_range 36.69855, 36.69915;
    String long_name "Start_lat";
    String units "decimal degrees";
  }
  end_lat {
    Float32 actual_range 36.69305, 36.69938;
    String long_name "End_lat";
    String units "decimal degrees";
  }
  start_lon {
    Float32 actual_range -122.042, -122.0314;
    String long_name "Start_lon";
    String units "decimal degrees";
  }
  end_lon {
    Float32 actual_range -122.0388, -122.0222;
    String long_name "End_lon";
    String units "decimal degrees";
  }
  Pore_size {
    Float32 actual_range 0.7, 100.0;
    String long_name "Pore_size";
    String units "micron (µm)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 4.5, 516.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Ala {
    Float32 actual_range 6.9, 21.4;
    String long_name "Ala";
    String units "permil ( ‰)";
  }
  Gly {
    Float32 actual_range -0.5, 9.5;
    String long_name "Gly";
    String units "permil ( ‰)";
  }
  Thr {
    Float32 actual_range -2.2, 5.6;
    String long_name "Thr";
    String units "permil ( ‰)";
  }
  Ser {
    Float32 actual_range -1.2, 7.9;
    String long_name "Ser";
    String units "permil ( ‰)";
  }
  Val {
    Float32 actual_range 5.8, 20.6;
    String long_name "Val";
    String units "permil ( ‰)";
  }
  Leu {
    Float32 actual_range 3.0, 16.9;
    String long_name "Leu";
    String units "permil ( ‰)";
  }
  Ile {
    Float32 actual_range 3.8, 17.0;
    String long_name "Ile";
    String units "permil ( ‰)";
  }
  Pro {
    Float32 actual_range 6.2, 16.7;
    String long_name "Pro";
    String units "permil ( ‰)";
  }
  Asp {
    Float32 actual_range 5.9, 17.3;
    String long_name "Asp";
    String units "permil ( ‰)";
  }
  Glu {
    Float32 actual_range 7.0, 22.1;
    String long_name "Glu";
    String units "permil ( ‰)";
  }
  Phe {
    Float32 actual_range 3.6, 11.0;
    String long_name "Phe";
    String units "permil ( ‰)";
  }
  Lys {
    Float32 actual_range 3.4, 10.5;
    String long_name "Lys";
    String units "permil ( ‰)";
  }
  Ala_au {
    Float32 actual_range 0.2, 1.3;
    String long_name "Ala_au";
    String units "permil ( ‰)";
  }
  Gly_au {
    Float32 actual_range 0.5, 1.0;
    String long_name "Gly_au";
    String units "permil ( ‰)";
  }
  Thr_au {
    Float32 actual_range 0.2, 1.0;
    String long_name "Thr_au";
    String units "permil ( ‰)";
  }
  Ser_au {
    Float32 actual_range 0.2, 1.0;
    String long_name "Ser_au";
    String units "permil ( ‰)";
  }
  Val_au {
    Float32 actual_range 0.2, 1.1;
    String long_name "Val_au";
    String units "permil ( ‰)";
  }
  Leu_au {
    Float32 actual_range 0.2, 1.0;
    String long_name "Leu_au";
    String units "permil ( ‰)";
  }
  Ile_au {
    Float32 actual_range 0.2, 2.0;
    String long_name "Ile_au";
    String units "permil ( ‰)";
  }
  Pro_au {
    Float32 actual_range 0.2, 1.0;
    String long_name "Pro_au";
    String units "permil ( ‰)";
  }
  Asp_au {
    Float32 actual_range 0.2, 1.0;
    String long_name "Asp_au";
    String units "permil ( ‰)";
  }
  Glu_au {
    Float32 actual_range 0.2, 1.5;
    String long_name "Glu_au";
    String units "permil ( ‰)";
  }
  Phe_au {
    Float32 actual_range 0.2, 1.0;
    String long_name "Phe_au";
    String units "permil ( ‰)";
  }
  Lys_au {
    Float32 actual_range 0.2, 1.0;
    String long_name "Lys_au";
    String units "permil ( ‰)";
  }
 }
  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 defaultDataQuery "&time<now";
    String doi "10.26008/1912/bco-dmo.958460.1";
    Float64 geospatial_vertical_max 516.0;
    Float64 geospatial_vertical_min 4.5;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-08-02T17:32:17Z (local files)
2025-08-02T17:32:17Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_958460_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/958460";
    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 "In this dataset we present compound-specific nitrogen stable isotope ratios of amino acids in size-fractionated particles from Monterey Bay, CA. Particles were collected near Monterey Bay Aquarium Research Institute's Midwater 1 time series site via in situ filtration in July and August 2017. Particles were collected at 10 depths from the surface to approximately 500 m and size-fractionated into three size-classes: 0.7-20 µm, 20-100 µm, and >100 µm. Particle data were used for a midwater food web study as well as a study on microbial and metazoan contributions to particulate organic matter.";
    String time_coverage_end "2017-08-03T16:59:00Z";
    String time_coverage_start "2017-07-31T18:30:00Z";
    String title "[Compound-specific nitrogen stable isotope ratios of amino acids in size-fractionated particles from Monterey Bay, CA, 2017] - Compound-specific nitrogen stable isotope ratios of amino acids in size-fractionated particles from Monterey Bay, CA, 2017 (Collaborative research: The effects of predator traits on the structure of oceanic food webs)";
  }
}

 

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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