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Dataset Title:  Daily Fish Counts at Newport, County Mayo (1970-2019)   RSS
Institution:  Marine Institute   (Dataset ID: newport_daily_fish_counts)
Range: longitude = 53.922203 to 53.922203°E, latitude = -9.578038 to -9.578038°N
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form
 
Graph Type:  ?
X Axis: 
Y Axis: 
-1 +1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
   
- +
       
       
       
       
 
Server-side Functions ?
 distinct() ?
? (" ")
 
Graph Settings
Color: 
Y Axis Minimum:   Maximum:   Ascending: 
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    [The graph you specified. Please be patient.]

 

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 {
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String ioos_category "Time";
    String long_name "Date Time";
    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";
    Float64 actual_range -9.578038, -9.578038;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range 53.922202, 53.922202;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  year {
    Int32 actual_range 1970, 2019;
    String ioos_category "Time";
    String long_name "Year";
  }
  month {
    Int32 actual_range 1, 12;
    String ioos_category "Time";
    String long_name "Month";
  }
  day {
    Int32 actual_range 1, 31;
    String ioos_category "Time";
    String long_name "day";
  }
  station {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "station id";
  }
  salmon_smolt_count_per_day {
    String colorBarMaximum "1000.0";
    String colorBarMinimum "0.0";
    String comment "count of Salmon (Salmo salar) Smolts per day";
    String ioos_category "Fish Abundance";
    String long_name "salmon_smolt_count_per_day";
    String units "count d-1";
  }
  eel_count_per_day {
    String colorBarMaximum "1000.0";
    String colorBarMinimum "0.0";
    String comment "count of Eel (Anguilla anguilla) per day";
    String ioos_category "Fish Abundance";
    String long_name "eel_count_per_day";
    String units "count d-1";
  }
  sea_trout_smolt_count_per_day {
    String colorBarMaximum "1000.0";
    String colorBarMinimum "0.0";
    String comment "count of Sea trout (Salmo trutta) Smolts per day";
    String ioos_category "Fish Abundance";
    String long_name "sea_trout_smolt_count_per_day";
    String units "count d-1";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station, longitude, latitude, year, month";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Marien Institute";
    String defaultDataQuery "&year=%222019%22&month=%227%22";
    String defaultGraphQuery "time,salmon_smolt_count_per_day&year=%222019%22&.draw=lines";
    Float64 Easternmost_Easting 53.922202;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max -9.578038;
    Float64 geospatial_lat_min -9.578038;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 53.922202;
    Float64 geospatial_lon_min 53.922202;
    String geospatial_lon_units "degrees_east";
    String history 
"2021-09-22T02:18:32Z (source database)
2021-09-22T02:18:32Z https://erddap.marine.ie/tabledap/newport_daily_fish_counts.das";
    String infoUrl "https://www.marine.ie/Home/site-area/areas-activity/fisheries-ecosystems/fish-counters?language=en";
    String institution "Marine Institute";
    String keywords "fish counts, latitude, longitude, Mayo, Newport";
    String license "Creative Commons Attribution 4.0 (https://creativecommons.org/licenses/by/4.0/)";
    Float64 Northernmost_Northing -9.578038;
    String sourceUrl "(source database)";
    Float64 Southernmost_Northing -9.578038;
    String subsetVariables "station, longitude, latitude, year, month, day";
    String summary "Newport Daily Fish Counter Time Series";
    String title "Daily Fish Counts at Newport, County Mayo (1970-2019)";
    Float64 Westernmost_Easting 53.922202;
  }
}

 

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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