BCO-DMO ERDDAP
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Dataset Title:	[Narragansett Bay RWU Time-series] - Water characteristics measured in Narragansett Bay over two years, from March 2021 to March 2023 (Collaborative research: Characterization of Synechococcus-cyanophage interactions across phylogenetic and temporal scales)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_906562_v1)
Range:	longitude = -71.25638 to -71.25638°E, latitude = 41.64974 to 41.64974°N, time = 2021-03-10T19:20:00Z to 2023-03-29T13:50:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| 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:

Web page authors can embed a graph of the latest data in a web page using HTML <img> tags.
Anyone can use ERDDAPs Slide Sorter to build a personal web page that displays graphs with the latest data (or other images or HTML content), each in its own, draggable slide.

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  ISO_DateTime_Local {
    String long_name "Iso_datetime_local";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.615404e+9, 1.6800978e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  WaterTemp {
    Float32 actual_range 0.0, 27.0;
    String long_name "Watertemp";
    String units "degrees Celsius";
  }
  AirTemp {
    Int32 actual_range 25, 90;
    String long_name "Airtemp";
    String units "degrees Celsius";
  }
  Salinity {
    Int32 actual_range 20, 35;
    String long_name "Salinity";
    String units "practical salinity units (PSU)";
  }
  ChlA {
    Float32 actual_range 0.414, 44.359;
    String long_name "Chla";
    String units "micrograms per liter (ug/L)";
  }
  NO2NO3 {
    Float32 actual_range 0.085, 7.672;
    String long_name "No2no3";
    String units "micromolar (uM)";
  }
  PO4 {
    Float32 actual_range 0.135, 1.899;
    String long_name "Po4";
    String units "micromolar (uM)";
  }
  SiO4 {
    Float32 actual_range 1.18, 48.025;
    String long_name "Sio4";
    String units "micromolar (uM)";
  }
  NH4 {
    Float32 actual_range 0.133, 8.815;
    String long_name "Nh4";
    String units "micromolar (uM)";
  }
  NO2 {
    Float32 actual_range 0.229, 0.706;
    String long_name "No2";
    String units "micromolar (uM)";
  }
  NH4_flag {
    Int32 actual_range 0, 1;
    String long_name "Nh4_flag";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 41.64974, 41.64974;
    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 -71.25638, -71.25638;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
 }
  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.906562.1";
    Float64 Easternmost_Easting -71.25638;
    Float64 geospatial_lat_max 41.64974;
    Float64 geospatial_lat_min 41.64974;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -71.25638;
    Float64 geospatial_lon_min -71.25638;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-13T10:31:31Z (local files)
2024-11-13T10:31:31Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_906562_v1.das";
    String infoUrl "https://www.bco-dmo.org/dataset/906562";
    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 41.64974;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.64974;
    String summary "This dataset includes basic water characteristics measured in Narragansett Bay (Rhode Island, USA) over two years as part of a study of the dynamics of marine cyanobacteria (Synechococcus) and viruses infecting cyanobacteria (cyanophage) in this estuarine ecosystem. The project principal investigators include Nathan Ahlgren (Clark University) and Marcie Marston (Roger Williams University), and the latter collected the data and water with the assistance of students and/or technicians. Water was sampled and measured once per week for a span of two years in total. Water was sampled from a dock located on the campus of Roger Williams University (RWU) at an approximate latitude and longitude coordinates of 41.649737, -71.256378. Water was collected on an incoming tide in the morning and the following parameters were measured: water temperature, salinity, in situ chlorophyll a, nitrate + nitrite, phosphate, and silicate. Water samples were collected and preserved for measurement of Synechococcus abundance by flow cytometry at a later date.";
    String time_coverage_end "2023-03-29T13:50:00Z";
    String time_coverage_start "2021-03-10T19:20:00Z";
    String title "[Narragansett Bay RWU Time-series] - Water characteristics measured in Narragansett Bay over two years, from March 2021 to March 2023 (Collaborative research: Characterization of Synechococcus-cyanophage interactions across phylogenetic and temporal scales)";
    Float64 Westernmost_Easting -71.25638;
  }
}

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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