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Dataset Title:  Hakai Nearshore temperature and light instensity loggers Subscribe RSS
Institution:  Hakai Institute   (Dataset ID: HakaiNearshoreTemperature)
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | Data Access Form
 
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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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  station {
    String cf_role "timeseries_id";
  }
  instrument_sn {
    String long_name "Instrument Serial Number";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    String axis "Y";
    String description "Fixed latitude of the site";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    String axis "X";
    String description "Fixed longitude of the site";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  time {
    String _CoordinateAxisType "Time";
    String axis "T";
    String ioos_category "Time";
    String long_name "Measurement Time";
    String source_name "measurement_time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    String axis "Z";
    Float64 colorBarMaximum 70.0;
    Float64 colorBarMinimum -1.0;
    String colorBarPalette "TopographyDepth";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  water_temp {
    String ancillary_data "water_temp_qc water_temp_uql";
    String long_name "Water Temperature";
    String standard_name "sea_water_temperature";
    String units "degree_Celsius";
  }
  water_temp_ql {
    String ioos_category "Quality";
    String long_name "water_temp Quality Level";
  }
  water_temp_qc {
    String ioos_category "Quality";
    String long_name "water_temp Flag";
  }
  water_temp_uql {
    Int32 actual_range 1, 9;
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String flag_meaning "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Water Temperature UNESCO Q Level";
    Int32 missing_value 2;
    String standard_name "aggregate_quality_flag";
  }
  par {
    String ancillary_data "par_qc par_uql";
    String long_name "Light Intensity";
    String standard_name "downwelling_photon_flux_in_sea_water";
    String units "lux";
  }
  par_ql {
    String ioos_category "Quality";
    String long_name "Light Intensity Quality Level";
  }
  par_qc {
    String ioos_category "Quality";
    String long_name "Light Intensity Flag";
  }
  par_uql {
    Float64 colorBarMaximum 10.0;
    Float64 colorBarMinimum 0.0;
    String flag_meaning "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Light Intensity UNESCO Q Level";
    Int32 missing_value 2;
    String standard_name "aggregate_quality_flag";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station,latitude,longitude";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String featureType "TimeSeries";
    String geospatial_lat_units "degrees_north";
    String geospatial_lon_units "degrees_east";
    String geospatial_vertical_max "60.0";
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2025-06-22T15:33:10Z (source database)
2025-06-22T15:33:10Z https://catalogue.hakai.org/tabledap/HakaiNearshoreTemperature.das";
    String infoUrl "https://www.hakai.org";
    String institution "Hakai Institute";
    String keywords "Calvert Island, low-cost, mooring, Provisional Dataset, seaSurfaceTemperature, subSurfaceTemperature, temperature";
    String license "Creative Commons Attribution 4.0 International licence (CC-BY 4.0)";
    String platform "mooring";
    String platform_vocabulary "https://vocab.nerc.ac.uk/collection/L06/current/";
    String sourceUrl "(source database)";
    String standard_name_vocabulary "CF Standard Name Table v79";
    String subsetVariables "station,instrument_sn,water_temp_uql,par_uql";
    String summary "Hakai Nearshore temperature and light intensity measurements";
    String title "Hakai Nearshore temperature and light instensity loggers";
  }
}

 

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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