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Dataset Title:  [York River Estuary - Primary production] - Pelagic primary production and
respiration in the York River Estuary, 2018-2021 (Alteration of carbon fluxes
by intense phytoplankton blooms in a microtidal estuary)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_962330_v1)
Range: longitude = -76.7519 to -76.38632°E, latitude = 37.22383 to 37.4841°N
Information:  Summary ? | License ? | FGDC | ISO 19115 | 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 {
  Date {
    String long_name "Date";
    String units "unitless";
  }
  Station {
    Int32 actual_range 1, 10;
    String long_name "Station";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 37.22383, 37.4841;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -76.7519, -76.38632;
    String axis "X";
    String ioos_category "Location";
    String long_name "Long";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Cruise {
    String long_name "Cruise";
    String units "unitless";
  }
  Type {
    String long_name "Type";
    String units "unitless";
  }
  Turbidity {
    Float32 actual_range 1.7, 28.1;
    String long_name "Turbidity";
    String units "(NTU or FNU depending on the instrument used)";
  }
  Chla {
    Float32 actual_range 4.42, 752.97;
    String long_name "Chla";
    String units "micrograms per liter (ug/l)";
  }
  Salinity {
    Float32 actual_range 1.4, 22.3;
    String long_name "Salinity";
    String units "unitless";
  }
  Calc_Kd {
    Float32 actual_range 0.95, 15.22;
    String long_name "Calc_kd";
    String units "m-1";
  }
  PsB {
    Float32 actual_range 2.95, 134.8;
    String long_name "Psb";
    String units "mgO2/mgChl-a/h";
  }
  aB {
    Float32 actual_range 0.02, 1.498;
    String long_name "Ab";
    String units "mgO2/mgChl-a/h (uE/m2/s)-1";
  }
  bB {
    Float32 actual_range 0.0, 0.1;
    String long_name "Bb";
    String units "mgO2/mgChl-a/h (uE/m2/s)-1";
  }
  RB {
    Float32 actual_range -21.08, 0.0;
    String long_name "Rb";
    String units "mgO2/mgChl-a/h";
  }
  R2adjB {
    Float32 actual_range 0.795, 0.997;
    String long_name "R2adjb";
    String units "unitless";
  }
  GPP {
    Float32 actual_range 0.46, 32.78;
    String long_name "Gpp";
    String units "gO2/m2/d";
  }
  Resp {
    Float32 actual_range -50.42, 0.0;
    String long_name "Resp";
    String units "gO2/m2/d";
  }
 }
  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.962330.1";
    Float64 Easternmost_Easting -76.38632;
    Float64 geospatial_lat_max 37.4841;
    Float64 geospatial_lat_min 37.22383;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -76.38632;
    Float64 geospatial_lon_min -76.7519;
    String geospatial_lon_units "degrees_east";
    String history 
"2025-10-16T19:24:10Z (local files)
2025-10-16T19:24:10Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_962330_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/962330";
    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 37.4841;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 37.22383;
    String summary "We measured pelagic primary production and respiration in the York River Estuary (YRE), a tributary of Chesapeake Bay, over two annual cycles (2018-19) and during two late-summer periods (2020-21) characterized by intense blooms of the dinoflagellates Margalefidinium polykrikoides and Alexandrium monilatum. During 2018-19, water was collected bimonthly from channel stations along the axis of the YRE. During 2020 and 2021, water was collected approximately weekly at stations inside and outside of bloom patches (n=3 each) in late summer in the lower YRE. Water was incubated across the full range of surface irradiance at in situ temperatures in a light gradient box. Metabolic rates were computed as the change in dissolved oxygen over the course of the incubations (1-3 hours in the light; overnight in the dark) as measured with Hach luminescent dissolved oxygen sensors. Data were used to construct photosynthesis-irradiance (P-I) curves that were combined with hourly surface irradiance, light attenuation, and estuarine bathymetry to compute vertically-integrated, daily rates. This dataset includes measured turbidity, extracted chlorophyll-a, and measured salinity, which were used to compute the vertical attenuation coefficient, statistically-determined P-I parameters normalized to measured chlorophyll-a, and vertically-integrated, daily rates of gross primary production and respiration.";
    String title "[York River Estuary - Primary production] - Pelagic primary production and respiration in the York River Estuary, 2018-2021 (Alteration of carbon fluxes by intense phytoplankton blooms in a microtidal estuary)";
    Float64 Westernmost_Easting -76.7519;
  }
}

 

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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