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Dataset Title:	[CHN Experiment BATS 2023] - Fecal pellet elemental composition (CHN), production rates, and morphometrics from zooplankton incubation experiments collected during R/V Atlantic Explorer cruise AE2306 at the Bermuda Atlantic Time-series Study (BATS) site in Mar 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_998152_v2)
Range:	time = 2023-03-20T06:42:00Z to 2023-03-23T05:42:00Z
Information:	Summary \| License \| Metadata \| Background \| Data Access Form \| Files

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  Trawl {
    Int32 actual_range 1, 4;
    String long_name "Trawl";
    String units "unitless";
  }
  Start_Time {
    String long_name "Start_time";
    String units "unitless";
  }
  End_Time {
    String long_name "End_time";
    String units "unitless";
  }
  Min_Depth {
    Int32 actual_range 0, 0;
    String long_name "Min_depth";
    String units "meters (m)";
  }
  Max_Depth {
    Int32 actual_range 125, 179;
    String long_name "Max_depth";
    String units "meters (m)";
  }
  Experiment {
    Int32 actual_range 1, 16;
    String long_name "Experiment";
    String units "unitless";
  }
  GFF_filter_num {
    Int32 actual_range 1, 23;
    String long_name "Gff_filter_num";
    String units "unitless";
  }
  Zooplankton_Groups {
    String long_name "Zooplankton_groups";
    String units "unitless";
  }
  Zooplankton_Taxa {
    String long_name "Zooplankton_taxa";
    String units "unitless";
  }
  num_Zooplankton {
    Int32 actual_range 1, 15;
    String long_name "Num_zooplankton";
    String units "unitless";
  }
  Total_Hours {
    Int32 actual_range 10, 13;
    String long_name "Total_hours";
    String units "hours";
  }
  num_Fecal_pellet {
    Int32 actual_range 8, 56;
    String long_name "Num_fecal_pellet";
    String units "unitless";
  }
  ug_N {
    Float32 actual_range 0.95, 7.26;
    String long_name "Ug_n";
    String units "micrograms (µg)";
  }
  ug_C {
    Float32 actual_range 5.65, 69.99;
    String long_name "Ug_c";
    String units "micrograms (µg)";
  }
  C_N {
    Int32 actual_range 3, 13;
    String long_name "C_n";
    String units "unitless";
  }
  Blank_Corrected_mg_C_from_CHN {
    Float32 actual_range 0.00565, 0.07;
    String long_name "Blank_corrected_mg_c_from_chn";
    String units "milligrams (mg C)";
  }
  Total_Volume {
    Float32 actual_range 1.15e+8, 2.74e+9;
    String long_name "Total_volume";
    String units "cubic micrometers (µm³)";
  }
  Carbon_Density {
    Float32 actual_range 9.87e-12, 6.71e-11;
    String long_name "Carbon_density";
    String units "mg C µm³";
  }
  FPP_using_CHN_Exp_rate {
    Float32 actual_range 4.22e-5, 0.00538;
    String long_name "Fpp_using_chn_exp_rate";
    String units "mg C individual⁻¹ h⁻¹";
  }
  FPP_using_CHN_Exp {
    Float32 actual_range 5.48e-4, 0.07;
    String long_name "Fpp_using_chn_exp";
    String units "mg C individual⁻¹";
  }
  Average_Animal_Dry_Weight {
    Float32 actual_range 0.578, 6.45;
    String long_name "Average_animal_dry_weight";
    String units "milligrams (mg)";
  }
  StDev_Average_Animal_Dry_Weight {
    Float32 actual_range 0.1125744, 2.526006;
    String long_name "Stdev_average_animal_dry_weight";
    String units "milligrams (mg)";
  }
  StDev_Average_Animal_Dry_Weight_flag {
    String long_name "Stdev_average_animal_dry_weight_flag";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.67929452e+9, 1.67955012e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Datetime_start_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  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 "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.998152.2";
    String history 
"2026-08-21T22:37:37Z (local files)
2026-08-21T22:37:37Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_998152_v2.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/998152";
    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 reports the elemental composition of individual fecal pellets measured during a targeted experiment during the March 2023 BATS cruise (AE2306) aboard the R/V Atlantic Explorer in the Sargasso Sea near Bermuda. The elemental composition of individual fecal pellets (carbon density and C:N ratios) are reported, along with fecal pellet production rates derived from CHN data and experiment metadata. Supplemental files include zooplankton dry and wet weights for individuals used in elemental analyses, enabling organism-level scaling of elemental fluxes (CHN_Zooplankton.csv), and individual fecal pellet morphometrics and summed volumes for pellets collected for CHN analysis (CHN_Fecal_Pellets.csv). 

Together with the related datasets, these data provide integrated measurements linking zooplankton identity, size, fecal-pellet production, pellet elemental composition, and aggregate formation, supporting process-based analyses of zooplankton roles in particle production and vertical carbon transfer at BATS. The data were collected aboard the R/V Atlantic Explorer through the collaborative efforts of the laboratories of Dr. Susanne Neuer, Dr. Amy Maas, and Dr. Leocadio Blanco-Bercial, affiliated with Arizona State University and the Bermuda Institute of Ocean Sciences.";
    String time_coverage_end "2023-03-23T05:42:00Z";
    String time_coverage_start "2023-03-20T06:42:00Z";
    String title "[CHN Experiment BATS 2023] - Fecal pellet elemental composition (CHN), production rates, and morphometrics from zooplankton incubation experiments collected during R/V Atlantic Explorer cruise AE2306 at the Bermuda Atlantic Time-series Study (BATS) site in Mar 2023 (Collaborative Research: Zooplankton mediation of particle formation in the Sargasso Sea)";
  }
}

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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