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Dataset Title:  [TEP and CSP HOT time series] - TEP and CSP particles collected from Station
ALOHA for HOT time series during R/V Kilo Moana cruises from Jan 2020 to Sep
2022 (Collaborative Research: Transparent exopolymer and phytoplankton vertical
migration as sources for preformed nitrate anomalies in the subtropical N.
Pacific Ocean)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_968732_v1)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Cruise (unitless) ?          "319"    "km2108"
 Date (unitless) ?          "2020-01-31"    "2022-09-02"
 longitude (degrees_east) ?          -158.0    -158.0
  < slider >
 latitude (degrees_north) ?          22.75    22.75
  < slider >
 depth (m) ?          5    500
  < slider >
 Transparent_Exopolymer_Particles (micrograms xanthan gum equivalents per liter (ug XG equiv./L)) ?          0.52    16.05
 Coomassie_Stainable_Particles (micrograms bovine albumen equivalents per liter (ug BA equiv./L)) ?          0.03    19.74
 Total_Dissolved_Carbohydrates (micromolar (uM C)) ?          0.05    14.28
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

File type: (more information)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -158.0, -158.0;
    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 22.75, 22.75;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Int32 actual_range 5, 500;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Transparent_Exopolymer_Particles {
    Float32 actual_range 0.52, 16.05;
    String long_name "Transparent_exopolymer_particles";
    String units "micrograms xanthan gum equivalents per liter (ug XG equiv./L)";
  }
  Coomassie_Stainable_Particles {
    Float32 actual_range 0.03, 19.74;
    String long_name "Coomassie_stainable_particles";
    String units "micrograms bovine albumen equivalents per liter (ug BA equiv./L)";
  }
  Total_Dissolved_Carbohydrates {
    Float32 actual_range 0.05, 14.28;
    String long_name "Total_dissolved_carbohydrates";
    String units "micromolar (uM C)";
  }
 }
  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.968732.1";
    Float64 Easternmost_Easting -158.0;
    Float64 geospatial_lat_max 22.75;
    Float64 geospatial_lat_min 22.75;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -158.0;
    Float64 geospatial_lon_min -158.0;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 500.0;
    Float64 geospatial_vertical_min 5.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-08-03T04:47:23Z (local files)
2025-08-03T04:47:23Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_968732_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/968732";
    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 22.75;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 22.75;
    String summary "These data include transparent exopolymer particle (TEP) and Coomassie stainable particle (CSP) concentrations within the upper 350 meters collected on 15 cruises to Station ALOHA over the period of January 2020 through September 2022. Particle concentrations are measured spectrophotometrically using Alcian blue (TEP) and Coomassie blue (CSP) dyes and reported in the semi-quantitative concentration units of xanthan gum equivalents µg / L (TEP) and bovine albumen equivalents µg / L (CSP). Also included are total dissolved carbohydrate concentrations in µM C / L units on a subset of 9 cruises. These analyses are a contribution to the project, \"Collaborative Research: Transparent exopolymer and phytoplankton vertical migration as sources for preformed nitrate anomalies in the subtropical N. Pacific Ocean\" funded by the Chemical and Biological Oceanography Programs at NSF.";
    String title "[TEP and CSP HOT time series] - TEP and CSP particles collected from Station ALOHA for HOT time series during R/V Kilo Moana cruises from Jan 2020 to Sep 2022 (Collaborative Research: Transparent exopolymer and phytoplankton vertical migration as sources for preformed nitrate anomalies in the subtropical N. Pacific Ocean)";
    Float64 Westernmost_Easting -158.0;
  }
}

 

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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