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Dataset Title:	[Siders Pond iodine temporal depth profiles (2020-2021)] - Dissolved iodine speciation depth profile measurements from Siders Pond, Falmouth, Massachusetts, USA, Jul 2020 to Jul 2021 (Collaborative Research: Manganese Cycling and Coupling Across Redox Boundaries within Stratified Basins of the Baltic Sea)
Institution:	BCO-DMO (Dataset ID: bcodmo_dataset_1000740_v1)
Range:	longitude = -70.62395 to -70.61937°E, latitude = 41.5466 to 41.55179°N, depth = 0.0 to 12.0m, time = 2020-07-31T12:00:00Z to 2021-07-27T12:00:00Z
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 {
  sample_ID {
    String long_name "Sample_id";
    String units "unitless";
  }
  station_number {
    String long_name "Station_number";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 0.0, 12.0;
    String axis "Z";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  iodide_concentration_nM {
    Float32 actual_range 40.47, 1433.53;
    String long_name "Iodide_concentration_nm";
    String units "nanomole/kg";
  }
  iodate_concentration_nM {
    Float32 actual_range 11.47, 43.87;
    String long_name "Iodate_concentration_nm";
    String units "nanomole/kg";
  }
  iodate_concentration_nM_flag {
    String long_name "Iodate_concentration_nm_flag";
    String units "unitless";
  }
  DOI_concentration_nM {
    Float32 actual_range 10.66, 12.49;
    String long_name "Doi_concentration_nm";
    String units "nanomole/kg";
  }
  DOI_concentration_nM_flag {
    String long_name "Doi_concentration_nm_flag";
    String units "unitless";
  }
  Total_I_concentration_nM {
    Float32 actual_range 169.98, 378.53;
    String long_name "Total_i_concentration_nm";
    String units "nanomole/kg";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.5961968e+9, 1.6273872e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Iso_datetime_collected_utc";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 41.5466, 41.55179;
    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 -70.62395, -70.61937;
    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 defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.1000740.1";
    Float64 Easternmost_Easting -70.61937;
    Float64 geospatial_lat_max 41.55179;
    Float64 geospatial_lat_min 41.5466;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -70.61937;
    Float64 geospatial_lon_min -70.62395;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 12.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2026-09-10T18:46:26Z (local files)
2026-09-10T18:46:26Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_1000740_v1.das";
    String infoUrl "https://osprey.bco-dmo.org/dataset/1000740";
    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 41.55179;
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 41.5466;
    String summary "The Siders Pond samples were collected and filtered on four sampling days of July 17, September 19, November 6, 2020 and July 31, 2021. We specifically used iodine exchange chromatography to separate and individually measure each total dissolved iodine, dissolved iodate, dissolved iodide, and dissolved organic iodine with inductively coupled plasma mass spectrometry, and reported the resulting concentrations together with sampling metadata. The samples were collected by researchers at Woods Hole Oceanographic Institution and iodine measurements made at Michigan State University. The iodine measurements contribute to a temporal study of the cycling of redox-sensitive elements in the salinity-stratified pond, including reactions between multiple biogeochemical cycles and sources and sinks.";
    String time_coverage_end "2021-07-27T12:00:00Z";
    String time_coverage_start "2020-07-31T12:00:00Z";
    String title "[Siders Pond iodine temporal depth profiles (2020-2021)] - Dissolved iodine speciation depth profile measurements from Siders Pond, Falmouth, Massachusetts, USA, Jul 2020 to Jul 2021 (Collaborative Research: Manganese Cycling and Coupling Across Redox Boundaries within Stratified Basins of the Baltic Sea)";
    Float64 Westernmost_Easting -70.62395;
  }
}

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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