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Dataset Title:  [DSI deployment and lab incubation] - Oxygen, carbon, and 13C values from the
deep-sea incubator (DSI) and parallel laboratory incubations with mesopelagic
water from the same region and depth on May 12, 2023 (Collaborative Research:
Transforming Carbon in the Deep Sea) Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_995790_v1)
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 {
  Sample_ID {
    String long_name "Sample_id";
    String units "unitless";
  }
  Description {
    String long_name "Description";
    String units "unitless";
  }
  Time_point {
    String long_name "Time_point";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Live_dead {
    String long_name "Live_dead";
    String units "unitless";
  }
  Reading_Oxygen_units {
    Int32 actual_range 2, 125;
    String long_name "Reading_oxygen_units";
    String units "picoAmps";
  }
  Reading_Oxygen_saturation_average {
    Float32 actual_range 118.5, 118.5;
    String long_name "Reading_oxygen_saturation_average";
    String units "picoAmps";
  }
  Reading_zero_oxygen {
    Int32 actual_range 0, 0;
    String long_name "Reading_zero_oxygen";
    String units "picoAmps";
  }
  Total_C_ug {
    Float32 actual_range 27.93, 122.02;
    String long_name "Total_c_ug";
    String units "milligrams (mg)";
  }
  Total_C_ug_L {
    Float32 actual_range 5585.27, 24404.35;
    String long_name "Total_c_ug_l";
    String units "milligrams per liter (mg/L)";
  }
  Elapsed_time {
    Float32 actual_range 0.0, 4.3;
    String long_name "Elapsed_time";
    String units "days";
  }
  Conc_13C {
    Float32 actual_range 896.51, 7670.3;
    String long_name "Conc_13c";
    String units "milligrams per liter (mg/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.995790.1";
    String history 
"2026-09-20T13:13:14Z (local files)
2026-09-20T13:13:14Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_995790_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/995790";
    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 oxygen, carbon, and 13C values from syringes used in incubations with mesopelagic water (~300 meters depth) either in situ using a deep-sea incubator, or in the laboratory in parallel incubations. The organic substrate was the particulate organic carbon fraction (retained by a 0.2-micrometer polycarbonate filter) of 13C-labeled algae from two cultures: the green alga Tetraselmis sp. and the diatom Thalassiosira weissflogii. The syringes were incubated for four days in order to measure organic carbon decay.";
    String title "[DSI deployment and lab incubation] - Oxygen, carbon, and 13C values from the deep-sea incubator (DSI) and parallel laboratory incubations with mesopelagic water from the same region and depth on May 12, 2023 (Collaborative Research: Transforming Carbon in the Deep 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.

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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