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Dataset Title:  Potash Terminal Tide and Meteorological Station Subscribe RSS
Institution:  COVE   (Dataset ID: SMA_saint_john_wharf)
Range: longitude = -66.045166 to -66.045166°E, latitude = 45.268867 to 45.268867°N, time = 2016-07-06T15:16:07Z to 2020-12-07T17:31:36Z
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:

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  station_name {
    String _Encoding "UTF-8";
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station Name";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.467818167e+9, 1.607362296e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Timestamp";
    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";
    Float64 actual_range -66.04516667, -66.04516667;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 45.26886667, 45.26886667;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  tide_ht_avg {
    Float32 actual_range -6.7, 10.0;
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String ioos_category "Sea Level";
    String long_name "Sea Surface Height";
    String note "2020-02-04: Tide height sensor needs servicing, data unreliable.";
    String standard_name "sea_surface_height";
    String units "m";
  }
  wind_spd_avg {
    Float32 actual_range 0.0, 25.0;
    String ioos_category "Wind";
    String long_name "Wind Spd Avg";
    String standard_name "wind_speed";
    String units "m s-1";
  }
  wind_spd_max {
    Float32 actual_range 0.0, 35.1;
    String ioos_category "Wind";
    String long_name "Wind Spd Max";
    String standard_name "wind_speed_of_gust";
    String units "m s-1";
  }
  wind_dir_avg {
    Float32 actual_range 0.0, 360.0;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "Wind From Direction";
    String standard_name "wind_from_direction";
    String units "degree";
  }
  tide_ht_pre {
    Float32 actual_range -0.2, 8.9;
    Float64 colorBarMaximum 2.0;
    Float64 colorBarMinimum -2.0;
    String ioos_category "Sea Level";
    String long_name "Sea Surface Height";
    String standard_name "sea_surface_height";
    String units "m";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_name,longitude,latitude";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_name "Centre for Ocean Ventures & Entrepreneurship (COVE)";
    String creator_url "https://coveocean.com/";
    Float64 Easternmost_Easting -66.04516667;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 45.26886667;
    Float64 geospatial_lat_min 45.26886667;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -66.04516667;
    Float64 geospatial_lon_min -66.04516667;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-03-29T07:00:29Z (local files)
2024-03-29T07:00:29Z https://www.smartatlantic.ca/tabledap/SMA_saint_john_wharf.das";
    String infoUrl "https://www.smartatlantic.ca/station_alt.html?id=saintjohn_potash";
    String institution "COVE";
    String keywords "atmosphere, atmospheric, average, data, direction, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Sea Surface Topography > Sea Surface Height, height, identifier, institute, level, marine, max, name, ocean, oceans, potash, sea, sea level, sea_surface_height, seaSurfaceHeight, spd, station, station_name, surface, tide_ht_avg, tide_ht_pre, time, timestamp, topography, wind, wind_dir_avg, wind_from_direction, wind_spd_avg, wind_spd_max, winds";
    String keywords_fra "seaSurfaceHeight";
    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, 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 45.26886667;
    String platform "coastal structure";
    String platform_vocabulary "https://vocab.nerc.ac.uk/collection/L06/current/";
    String project "SmartAtlantic";
    String publisher_email "SmartBay@smartbay.ca";
    String publisher_name "SmartAtlantic";
    String publisher_url "https://www.smartatlantic.ca/";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 45.26886667;
    String standard_name_vocabulary "CF Standard Name Table v79";
    String summary "Near-real time access to physical environmental observations such as local wind and sea levels are some of the basic requirements of a modern 'Smart Port' operation. Along with accurate site forecasts, these observations are essential in promoting the operational efficiency, safety and situational awareness of vessel movements within a harbour and its approaches. In this context, Amec Foster Wheeler, in partnership with the Marine Institute of Memorial University Center for Applied Ocean Technology, has developed this wind and water level monitoring station (tide gauge) to satisfying the Port of Saint John objectives for a water level and wind monitoring station for Courtenay Bay. The station is capable of measuring and reporting accurate data and is reported live via the SmartAtlantic ocean observation system website. This station consists of a Yaleport TideMaster water level recorder with Yaleport VRS20 radar (water) level sensor and a Gill WindSonic anemometer to measure wind speed and direction.";
    String summary_fra "l'accès en temps quasi réel à des observations environnementales physiques telles que le vent local et le niveau de la mer sont quelques-unes des exigences fondamentales d'un \" port intelligent \" moderne. En plus des prévisions exactes du site, ces observations sont essentielles à la promotion de l'efficacité opérationnelle, de la sécurité et de la connaissance de la situation des mouvements des navires à l'intérieur d'un port et de ses approches. Dans ce contexte, Amec Foster Wheeler, en partenariat avec le Marine Institute of Memorial University Center for Applied Ocean Technology, a mis au point cette station de surveillance des vents et des niveaux d'eau (marégraphe) afin de satisfaire aux objectifs du port de Saint John en ce qui concerne la création d'une station de surveillance du niveau de l'eau et du vent pour Baie de Courtenay. La station est capable de mesurer et de rapporter des données exactes et est signalée en direct sur le site Web du système d'observation de l'océan SmartAtlantic. Cette station est composée d'un enregistreur de niveau d'eau TideMaster de Yaleport doté d'un capteur radar Yaleport VRS20 (niveau d'eau) et d'un anémomètre WindSonic Gill pour mesurer la vitesse et la direction du vent.";
    String time_coverage_end "2020-12-07T17:31:36Z";
    String time_coverage_start "2016-07-06T15:16:07Z";
    String title "Potash Terminal Tide and Meteorological Station";
    String title_fra "Potash Terminal Tide and Meteorological Station";
    String uuid "8c4434c0-6d11-495f-b547-0ddd2270cb09";
    Float64 Westernmost_Easting -66.04516667;
  }
}

 

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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