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Dataset Title:	Detroit River at SW Water Intake near Grassy Island, MI - 421337083074201
Institution:	United States Geological Survey (Dataset ID: obs_631)
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Data Access Form

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Constraints	Optional Constraint #1		Optional Constraint #2

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distinct()

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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 {
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String calendar "gregorian";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  sea_water_temperature {
    String ancillary_variables "sea_water_temperature_gross_range_test sea_water_temperature_spike_test sea_water_temperature_rate_of_change_test sea_water_temperature_flat_line_test sea_water_temperature_aggregate sea_water_temperature_fixed_depth";
    String ioos_category "Temperature";
    String platform "platform";
    String standard_name "sea_water_temperature";
    String units "K";
  }
  sea_water_temperature_gross_range_test {
    String _Unsigned "false";
    String flag_meanings "GOOD NOT_EVALUATED SUSPECT BAD MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String standard_name "gross_range_test_quality_flag";
    Byte valid_max 9;
    Byte valid_min 1;
  }
  sea_water_temperature_spike_test {
    String _Unsigned "false";
    String flag_meanings "GOOD NOT_EVALUATED SUSPECT BAD MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String standard_name "spike_test_quality_flag";
    Byte valid_max 9;
    Byte valid_min 1;
  }
  sea_water_temperature_rate_of_change_test {
    String _Unsigned "false";
    String flag_meanings "GOOD NOT_EVALUATED SUSPECT BAD MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String standard_name "rate_of_change_test_quality_flag";
    Byte valid_max 9;
    Byte valid_min 1;
  }
  sea_water_temperature_flat_line_test {
    String _Unsigned "false";
    String flag_meanings "GOOD NOT_EVALUATED SUSPECT BAD MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String standard_name "flat_line_test_quality_flag";
    Byte valid_max 9;
    Byte valid_min 1;
  }
  sea_water_temperature_aggregate {
    String _Unsigned "false";
    String flag_meanings "GOOD NOT_EVALUATED SUSPECT BAD MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String standard_name "aggregate_quality_flag";
    Byte valid_max 9;
    Byte valid_min 1;
  }
  sea_water_temperature_fixed_depth {
    String ioos_category "Location";
    String platform "platform";
    String standard_name "depth";
    String units "m";
  }
  water_volume_transport_in_river_channel {
    String ioos_category "Unknown";
    String platform "platform";
    String standard_name "water_volume_transport_in_river_channel";
    String units "m3 s-1";
  }
  platform {
    String _Unsigned "false";
    String cf_role "timeseries_id";
    String ioos_category "Unknown";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "platform,longitude,latitude";
    String Conventions "COARDS,CF-1.7,IOOS-1.2,ACDD-1.3";
    String creator_country "USA";
    String creator_email "joe@glos.org";
    String creator_institution "United States Geological Survey";
    String creator_name "United States Geological Survey";
    String creator_sector "gov_federal";
    String creator_type "institution";
    String creator_url "https://www.usgs.gov/";
    String featureType "TimeSeries";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_units "degrees_east";
    String gts_ingest "false";
    String history 
"2025-03-15T22:17:24Z (source database)
2025-03-15T22:17:24Z https://seagull-erddap.glos.org/tabledap/obs_631.das";
    String id "obs_631";
    String infoUrl "https://waterdata.usgs.gov/monitoring-location/421337083074201/";
    String institution "United States Geological Survey";
    String keywords "at, channel, depth, discharge, in, River, river, sea, temp, temperature, transport, volume, Water, water";
    String keywords_vocabulary "GCMD Science Keywords";
    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, GLOS, 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 naming_authority "org.glos";
    String platform "fixed";
    String platform_name "Detroit River at SW Water Intake near Grassy Island, MI";
    String platform_vocabulary "http://mmisw.org/ont/ioos/platform";
    String publisher_country "United States";
    String publisher_email "info@glos.org";
    String publisher_institution "GLOS";
    String publisher_url "https://glos.org";
    String sourceUrl "(source database)";
    String standard_name_vocabulary "CF Standard Name Table v77";
    String summary "Monitoring location 421337083074201 is associated with the Detroit River at SW Water Intake near Grassy Island, MI. Current conditions of Discharge and Gage height are available. Water data back to 2024 are available online.  <a href='https://waterdata.usgs.gov/monitoring-location/421337083074201/'>Click here for historical data.</a> Data displayed for this dataset on GLOS Seagull are streamed from <a href='https://gldw.org/vdab/apps/GreatLakes'>Great Lakes Data Watershed</a>";
    String title "Detroit River at SW Water Intake near Grassy Island, MI - 421337083074201";
  }
}

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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