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Dataset Title:  [Microbial Respiration] - Microbial respiration from microcosm experiments
conducted under three light treatments using water originating from West Bay of
the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as
Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links
Between Substrates, Transcripts, and Metabolism)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_908626_v1)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Experiment_Name (unitless) ?          "Eco1"    "Eco2"
 Date (unitless) ?          "2021-09-03"    "2022-05-23"
 Time_EDT (unitless) ?          "12:00:00"    "20:52:00"
 Incubation_day (days) ?          1    49
 Treatment (unitless) ?          "D"    "V"
 Tank_ID (unitless) ?          1    11
 Size_fraction_um (micrometers (um)) ?          "less than 5 um"    "unfiltered"
 respiration_uM_O2_d_1 (micromoles O2 per day (uM O2 d-1)) ?          -15.403    0.16
 respiration_uM_C_d_1 (micromoles C per day (uM C d-1)) ?          -10.998    0.114
 r2 (unitless) ?          0.136    0.999
 RSE (unitless) ?          0.038    1.435
 No_pts (unitless) ?          1390    15677
 ISO_DateTime_Local (unitless) ?          "2021-09-03T20:52:00"    "2022-05-23T13:30:00"
 
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 {
  Experiment_Name {
    String long_name "Experiment_name";
    String units "unitless";
  }
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Time_EDT {
    String long_name "Time_edt";
    String units "unitless";
  }
  Incubation_day {
    Int32 actual_range 1, 49;
    String long_name "Incubation_day";
    String units "days";
  }
  Treatment {
    String long_name "Treatment";
    String units "unitless";
  }
  Tank_ID {
    Int32 actual_range 1, 11;
    String long_name "Tank_id";
    String units "unitless";
  }
  Size_fraction_um {
    String long_name "Size_fraction_um";
    String units "micrometers (um)";
  }
  respiration_uM_O2_d_1 {
    Float32 actual_range -15.403, 0.16;
    String long_name "Respiration_um_o2_d_1";
    String units "micromoles O2 per day (uM O2 d-1)";
  }
  respiration_uM_C_d_1 {
    Float32 actual_range -10.998, 0.114;
    String long_name "Respiration_um_c_d_1";
    String units "micromoles C per day (uM C d-1)";
  }
  r2 {
    Float32 actual_range 0.136, 0.999;
    String long_name "R2";
    String units "unitless";
  }
  RSE {
    Float32 actual_range 0.038, 1.435;
    String long_name "Rse";
    String units "unitless";
  }
  No_pts {
    Int32 actual_range 1390, 15677;
    String long_name "No_pts";
    String units "unitless";
  }
  ISO_DateTime_Local {
    String long_name "Iso_datetime_local";
    String units "unitless";
  }
 }
  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.908626.1";
    String history 
"2024-10-13T22:47:29Z (local files)
2024-10-13T22:47:29Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_908626_v1.html";
    String infoUrl "https://www.bco-dmo.org/dataset/908626";
    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 "Microbial respiration assays were conducted for two microcosm incubation experiments. Sample water originated from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022. The microcosms were 60-liters, conducted in biological duplicates under three light treatment incubations: 12-hour light-dark cycle of photosynthetically active radiation (PAR), 12-hour light-dark cycle of UV-B radiation, or darkness. Respiration assays of the unfiltered and 5-micron filtered community were initiated every few days using foil-membrane optodes to examine light effects on community respiration.";
    String title "[Microbial Respiration] - Microbial respiration from microcosm experiments conducted under three light treatments using water originating from West Bay of the Neuse River Estuary, North Carolina USA in 2021 and 2022 (Bacteria as Biosensors of Carbon and Energy Flow in Marine Ecosystems: Quantitative Links Between Substrates, Transcripts, and Metabolism)";
  }
}

 

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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