ERDDAP > tabledap > Data Access Form

Dataset Title:	Manolis Buoy
Institution:	MI   (Dataset ID: SMA_manolis_buoy)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
station_name	!= =~ <= >= = < >		!= =~ <= >= = < >
time (Timestamp, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		2018-07-10T00:23:41Z	2018-09-12T10:53:41Z
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-54.50865833333333	-54.50865833333333
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		49.675105	49.675105
precise_lon (Precise Longitude, degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-54.50865833	-54.48560333
precise_lat (Precise Latitude, degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		49.675105	49.68858167
wind_spd_avg (m s-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.4	13.5
wind_spd_max (m s-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.7	20.1
wind_dir_avg (Wind From Direction, degree)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	360
air_temp_avg (degree_C)	!= =~ <= >= = < >		!= =~ <= >= = < >		8.4	28.1
air_pressure_avg (Air Pressure, mbar)	!= =~ <= >= = < >		!= =~ <= >= = < >		996.3	1032.6
air_humidity_avg (1)	!= =~ <= >= = < >		!= =~ <= >= = < >
air_dewpoint_avg (degree_C)	!= =~ <= >= = < >		!= =~ <= >= = < >
surface_temp_avg (degree_C)	!= =~ <= >= = < >		!= =~ <= >= = < >		10.4	19.3
wave_ht_max (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.2	3.7
wave_ht_sig (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.1	1.8
wave_period_max (s)	!= =~ <= >= = < >		!= =~ <= >= = < >		1.9	28.6
wave_dir_avg (degree)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	360
wave_spread_avg (degree)	!= =~ <= >= = < >		!= =~ <= >= = < >		28	73
curr_dir_avg (degree)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	359.7
curr_spd_avg (mm s-1)	!= =~ <= >= = < >		!= =~ <= >= = < >		2.2	862.5

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" station_name time longitude latitude precise_lon precise_lat wind_spd_avg wind_spd_max wind_dir_avg air_temp_avg air_pressure_avg air_humidity_avg air_dewpoint_avg surface_temp_avg wave_ht_max wave_ht_sig wave_period_max wave_dir_avg wave_spread_avg curr_dir_avg curr_spd_avg station_name time longitude latitude precise_lon precise_lat wind_spd_avg wind_spd_max wind_dir_avg air_temp_avg air_pressure_avg air_humidity_avg air_dewpoint_avg surface_temp_avg wave_ht_max wave_ht_sig wave_period_max wave_dir_avg wave_spread_avg curr_dir_avg curr_spd_avg station_name time longitude latitude precise_lon precise_lat wind_spd_avg wind_spd_max wind_dir_avg air_temp_avg air_pressure_avg air_humidity_avg air_dewpoint_avg surface_temp_avg wave_ht_max wave_ht_sig wave_period_max wave_dir_avg wave_spread_avg curr_dir_avg curr_spd_avg station_name time longitude latitude precise_lon precise_lat wind_spd_avg wind_spd_max wind_dir_avg air_temp_avg air_pressure_avg air_humidity_avg air_dewpoint_avg surface_temp_avg wave_ht_max wave_ht_sig wave_period_max wave_dir_avg wave_spread_avg curr_dir_avg curr_spd_avg station_name time longitude latitude precise_lon precise_lat wind_spd_avg wind_spd_max wind_dir_avg air_temp_avg air_pressure_avg air_humidity_avg air_dewpoint_avg surface_temp_avg wave_ht_max wave_ht_sig wave_period_max wave_dir_avg wave_spread_avg curr_dir_avg curr_spd_avg ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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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 1.531182221e+9, 1.536749621e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Timestamp";
    String source_name "timestamp";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -54.50865833333333, -54.50865833333333;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 49.675105, 49.675105;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  precise_lon {
    Float64 actual_range -54.50865833, -54.48560333;
    String ioos_category "Location";
    String long_name "Precise Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  precise_lat {
    Float64 actual_range 49.675105, 49.68858167;
    String ioos_category "Location";
    String long_name "Precise Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  wind_spd_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 0.4, 13.5;
    String ioos_category "Wind";
    String long_name "Wind Spd Avg";
    String standard_name "wind_speed";
    String units "m s-1";
  }
  wind_spd_max {
    Float32 _FillValue NaN;
    Float32 actual_range 0.7, 20.1;
    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 {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 360;
    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";
  }
  air_temp_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 8.4, 28.1;
    String ioos_category "Temperature";
    String long_name "Air Temp Avg";
    String standard_name "air_temperature";
    String units "degree_C";
  }
  air_pressure_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 996.3, 1032.6;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String ioos_category "Pressure";
    String long_name "Air Pressure";
    String standard_name "air_pressure";
    String units "mbar";
  }
  air_humidity_avg {
    String ioos_category "Meteorology";
    String long_name "Air Humidity Avg";
    String standard_name "relative_humidity";
    String units "1";
  }
  air_dewpoint_avg {
    String ioos_category "Meteorology";
    String long_name "Air Dewpoint Avg";
    String standard_name "dew_point_temperature";
    String units "degree_C";
  }
  surface_temp_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 10.4, 19.3;
    String ioos_category "Temperature";
    String long_name "Surface Temp Avg";
    String standard_name "sea_surface_temperature";
    String units "degree_C";
  }
  wave_ht_max {
    Float32 _FillValue NaN;
    Float32 actual_range 0.2, 3.7;
    String ioos_category "Surface Waves";
    String long_name "Wave Ht Max";
    String standard_name "sea_surface_wave_maximum_height";
    String units "m";
  }
  wave_ht_sig {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1, 1.8;
    String ioos_category "Surface Waves";
    String long_name "Wave Ht Sig";
    String standard_name "sea_surface_wave_significant_height";
    String units "m";
  }
  wave_period_max {
    Float32 _FillValue NaN;
    Float32 actual_range 1.9, 28.6;
    Float64 colorBarMaximum 20.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Surface Waves";
    String long_name "Sea Surface Wave Maximum Period";
    String standard_name "sea_surface_wave_maximum_period";
    String units "s";
  }
  wave_dir_avg {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 360;
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Surface Waves";
    String long_name "Sea Surface Wave To Direction";
    String standard_name "sea_surface_wave_to_direction";
    String units "degree";
  }
  wave_spread_avg {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 28, 73;
    String ioos_category "Surface Waves";
    String long_name "Wave Spread Avg";
    String standard_name "sea_surface_wave_directional_spread";
    String units "degree";
  }
  curr_dir_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 359.7;
    String ioos_category "Currents";
    String long_name "Curr Dir Avg";
    String standard_name "sea_water_velocity_to_direction";
    String units "degree";
  }
  curr_spd_avg {
    Float32 _FillValue NaN;
    Float32 actual_range 2.2, 862.5;
    String ioos_category "Currents";
    String long_name "Curr Spd Avg";
    String standard_name "sea_water_speed";
    String units "mm s-1";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_name,longitude,latitude";
    String Conventions "COARDS, CF-1.6, ACDD-1.3, NCCSV-1.2";
    String creator_email "SmartBay@smartbay.ca";
    String creator_name "Marine Institute";
    String creator_url "https://www.mi.mun.ca/departments/centreforappliedoceantechnology/";
    Float64 Easternmost_Easting -54.50865833333333;
    String featureType "TimeSeries";
    Float64 geospatial_lat_max 49.675105;
    Float64 geospatial_lat_min 49.675105;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -54.50865833333333;
    Float64 geospatial_lon_min -54.50865833333333;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-11-22T10:07:46Z (local files)
2024-11-22T10:07:46Z https://cioosatlantic.ca/erddap/tabledap/SMA_manolis_buoy.html";
    String infoUrl "https://www.smartatlantic.ca/station_alt.html?id=manolis";
    String institution "MI";
    String keywords "air, air_dewpoint_avg, air_humidity_avg, air_pressure, air_pressure_avg, air_temp_avg, atmosphere, atmospheric, average, curr, curr_dir_avg, curr_spd_avg, currents, data, dew, dew point, dewpoint, dir, direction, earth, Earth Science > Atmosphere > Atmospheric Pressure > Atmospheric Pressure Measurements, Earth Science > Atmosphere > Atmospheric Pressure > Sea Level Pressure, Earth Science > Atmosphere > Atmospheric Pressure > Static Pressure, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Oceans > Ocean Waves > Swells, Earth Science > Oceans > Ocean Waves > Wave Period, Earth Science > Oceans > Ocean Waves > Wave Speed/Direction, humidity, identifier, latitude, level, local, longitude, max, measurements, meteorology, name, ocean, oceans, period, point, pressure, science, sea, sea_surface_swell_wave_period, sea_surface_wave_to_direction, seaSurfaceHeight, seaSurfaceTemperature, sig, source, spd, speed, spread, static, station, station_name, surface, surface waves, surface_temp_avg, surfaceCurrents, swell, swells, temperature, time, timestamp, wave, wave_dir_avg, wave_ht_max, wave_ht_sig, wave_period_max, wave_spread_avg, waves, wind, wind_dir_avg, wind_from_direction, wind_spd_avg, wind_spd_max, winds";
    String keywords_fra "surfaceCurrents, seaSurfaceHeight, seaSurfaceTemperature";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://creativecommons.org/licenses/by/4.0/";
    Float64 Northernmost_Northing 49.675105;
    String platform "moored surface buoy";
    String platform_vocabulary "https://vocab.nerc.ac.uk/collection/L06/current/";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 49.675105;
    String standard_name_vocabulary "CF Standard Name Table v79";
    String summary "A 3 metre diameter meteorological/oceanographic buoy built by AXYS Environmental Technologies of Sidney, British Columbia.The buoy is capable of measuring a variety of atmospheric and surface conditions including: wind speed and direction, air temperature, humidity, dew point, barometric pressure, water temperature, current speed and direction (0.5 m. depth), wave height, direction and period as well as wave spectral information.  The buoy is also equipped with an Aids to Navigation Information System (ATONiS) allowing direct transmittal of the buoy data to a ship's bridge.";
    String summary_fra "Une bouée météorologique/océanographique de 3 mètres de diamètre construite par AXYS Environmental Technologies de Sidney, en Colombie-Britannique. La bouée est capable de mesurer une variété de conditions atmosphériques et de surface, y compris la vitesse et la direction du vent, la température de l'air, l'humidité, le point de rosée la pression barométrique, la température de l'eau, la vitesse et la direction du courant (0,5 m de profondeur), la hauteur, la direction et la période des vagues ainsi que l'information spectrale des vagues. La bouée est également munie d'un système d'information sur les aides à la navigation (AtonIS) qui permet la transmission directe des données de la bouée à la passerelle d'un navire.";
    String time_coverage_end "2018-09-12T10:53:41Z";
    String time_coverage_start "2018-07-10T00:23:41Z";
    String title "Manolis Buoy";
    String title_fra "Bouée Manolis";
    String uuid "2ed26c3c-d328-453d-86cb-eef7ab3f9c58";
    Float64 Westernmost_Easting -54.50865833333333;
  }
}

 

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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 Data Access Protocol (DAP) and its selection constraints.

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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