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Dataset Title:  [Mesocosm CB 2021 Light and Temperature] - Light and temperature data for
mesocosm incubation experiment simulating a phytoplankton bloom in Chesapeake
Bay August 2021 (Marine Diatom-Parasite Relationships in Upwelling Systems)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_959930_v1)
Information:  Summary ? | License ? | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 time (Datetime, UTC) ?          2021-08-05T16:14:00Z    2021-08-11T22:44:00Z
  < slider >
 Temp (degrees Celsius) ?          22.142    35.328
 Lux (lux (lx)) ?          0.0    126756.4
 Logger (unitless) ?          "Blue"    "Green"
 
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)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.62818004e+9, 1.62872184e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Datetime";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Temp {
    Float32 actual_range 22.142, 35.328;
    String long_name "Temp";
    String units "degrees Celsius";
  }
  Lux {
    Float32 actual_range 0.0, 126756.4;
    String long_name "Lux";
    String units "lux (lx)";
  }
  Logger {
    String long_name "Logger";
    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 defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.959930.1";
    String history 
"2025-08-14T03:19:44Z (local files)
2025-08-14T03:19:44Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_959930_v1.html";
    String infoUrl "https://osprey.bco-dmo.org/dataset/959930";
    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 "A mesocosm experiment was performed in August 2021 on the R/V Hugh Sharp, cruise HRS2110, at a station near the mouth of Chesapeake Bay to simulate a phytoplankton bloom and to assess changes in assemblage and biogeochemical processes while excluding changes due to advection. Three 20-L carboys were filled with filtered bay water, inoculated with surface water and sampled daily for a week. Nutrient concentrations, nitrate and bicarbonate uptake rates, pigment concentrations and samples for 18S rRNA gene sequence analysis were collected once or more times per day. 15NO3- and H13CO3- tracer incubations were performed alongside pigment and DNA sampling to compare temporal trends in community composition and primary productivity (nitrogen (N) and carbon (C) transport rates). These results address the nature of phytoplankton blooms, and present a more complex relationship between bloom progression and phytoplankton diversity that usually assumed or detected by traditional methods. This dataset contains the light and temperature data logged for the three replicate mesocosms over the course of the simulated bloom. These data were collected by Jenna Lee from Princeton University.";
    String time_coverage_end "2021-08-11T22:44:00Z";
    String time_coverage_start "2021-08-05T16:14:00Z";
    String title "[Mesocosm CB 2021 Light and Temperature] - Light and temperature data for mesocosm incubation experiment simulating a phytoplankton bloom in Chesapeake Bay August 2021 (Marine Diatom-Parasite Relationships in Upwelling Systems)";
  }
}

 

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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