Marine Institute ERDDAP Server
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Dataset Title:	EPA Beaches Model Predicted Tide Level
Institution:	Marine Institute (Dataset ID: imiTidePredictionEpa)
Range:	longitude = -10.39019 to -6.007815°E, latitude = 51.44835 to 55.30617°N, time = 2024-01-01T00:00:00Z to 2027-01-01T00:00:00Z
Information:	Summary \| License \| FGDC \| ISO 19115 \| Metadata \| Background \| Subset \| Data Access Form \| Files

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Server-side Functions

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";
    Float64 actual_range 1.7040672e+9, 1.7987616e+9;
    String axis "T";
    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";
    Float32 actual_range -10.39019, -6.007815;
    String axis "X";
    String ioos_category "Location";
    String long_name "longitude in decimal degree east";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range 51.44835, 55.30617;
    String axis "Y";
    String ioos_category "Location";
    String long_name "latitude in decimal degree north";
    String standard_name "latitude";
    String units "degrees_north";
  }
  stationID {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station ID";
  }
  sea_surface_height {
    Float64 actual_range -2.92, 2.73;
    String ioos_category "Sea Level";
    String long_name "sea surface height relative to Model MSL";
    String units "metres";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "stationID, longitude, latitude";
    String Conventions "COARDS, CF-1.4, Unidata Dataset Discovery v1.0";
    String defaultDataQuery "&time>=now-1day&time<=now+2days";
    String defaultGraphQuery "longitude,latitude,sea_surface_height&time>=now-1day&time<=now+2days&&.marker=5|5";
    Float64 Easternmost_Easting -6.007815;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 55.30617;
    Float64 geospatial_lat_min 51.44835;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -6.007815;
    Float64 geospatial_lon_min -10.39019;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-12-22T02:33:09Z http://www.marine.ie/
2024-12-22T02:33:09Z https://erddap.marine.ie/tabledap/imiTidePredictionEpa.das";
    String infoUrl "http://milas.marine.ie/thredds/";
    String institution "Marine Institute";
    String keywords "Earth Science > Tide";
    String license "Creative Commons Attribution 4.0 (https://creativecommons.org/licenses/by/4.0/)";
    String Metadata_Conventions "COARDS, CF-1.4, Unidata Dataset Discovery v1.0";
    Float64 Northernmost_Northing 55.30617;
    String sourceUrl "http://www.marine.ie/";
    Float64 Southernmost_Northing 51.44835;
    String subsetVariables "stationID, longitude, latitude";
    String summary "MI Modelled Tide Predictions for EPA Beach stations";
    String time_coverage_end "2027-01-01T00:00:00Z";
    String time_coverage_start "2024-01-01T00:00:00Z";
    String title "EPA Beaches Model Predicted Tide Level";
    Float64 Westernmost_Easting -10.39019;
    String zapidox 
"[
    {
        \"name\": \"listForecastStations\",
        \"description\": \"List the stations having forecast data for the next three days.\",
        \"formats\": [
            \".csv0\",
            \".jsonlKVP\"
        ],
        \"query\": \"stationID,latitude,longitude&time%3E=now&time%3C=now%2B3d&distinct()\"
    },
    {
        \"name\": \"getSeaSurfaceHeightForecast\",
        \"description\": \"Get next three days of sea surface height at a specific station.\",
        \"formats\": [
            \".csv0\",
            \".jsonlKVP\"
        ],
        \"query\": \"time%2Clongitude%2Clatitude%2CstationID%2Csea_surface_height&time%3E=now&time%3C=now+3d&stationID=%22BPNBF050000140001_MODELLED%22\"
    }
]";
  }
}

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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