ERDDAP > tabledap > Data Access Form

Dataset Title:	Hakai Weather Stations Timeseries Research
Institution:	Hakai Institute   (Dataset ID: HakaiWeatherStationsResearch)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Subset | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum    or a List of Values	Maximum
station	!= =~ <= >= = < >		!= =~ <= >= = < >		"buxton" "buxton_east" "ethel" "hecate" "lookout" "quadra" "ref_stn" "SSN1015US" "SSN693PWR" "WSN626" "WSN693_703" "WSN703_708" "WSN819_1015"
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >
elevation (m)	!= =~ <= >= = < >		!= =~ <= >= = < >
time (Measurement Time, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >
record	!= =~ <= >= = < >		!= =~ <= >= = < >
rh_ql	!= =~ <= >= = < >		!= =~ <= >= = < >
rh_qc	!= =~ <= >= = < >		!= =~ <= >= = < >
rh_uql (1)	!= =~ <= >= = < >		!= =~ <= >= = < >
rh (%)	!= =~ <= >= = < >		!= =~ <= >= = < >
rh_avg (%)	!= =~ <= >= = < >		!= =~ <= >= = < >
rh_std (%)	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp_ql	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp_qc	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp_uql (1)	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp (degree_celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp_avg (degree_celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp_std (degree_celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp2_ql	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp2_qc	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp2_uql (1)	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp2 (degree_celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp2_avg (degree_celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >
air_temp2_std (degree_celsius)	!= =~ <= >= = < >		!= =~ <= >= = < >
wind_spd_ql	!= =~ <= >= = < >		!= =~ <= >= = < >
wind_spd_qc	!= =~ <= >= = < >		!= =~ <= >= = < >
wind_spd_uql (1)	!= =~ <= >= = < >		!= =~ <= >= = < >
wind_spd_avg (m/s)	!= =~ <= >= = < >		!= =~ <= >= = < >
wind_spd_std (m/s)	!= =~ <= >= = < >		!= =~ <= >= = < >
wind_dir_ql (Wind From Direction)	!= =~ <= >= = < >		!= =~ <= >= = < >
wind_dir_qc	!= =~ <= >= = < >		!= =~ <= >= = < >
wind_dir_uql (Wind From Direction, 1)	!= =~ <= >= = < >		!= =~ <= >= = < >
wind_dir_avg (Wind From Direction)	!= =~ <= >= = < >		!= =~ <= >= = < >
wind_dir_std (Wind From Direction)	!= =~ <= >= = < >		!= =~ <= >= = < >
rain_ql	!= =~ <= >= = < >		!= =~ <= >= = < >
rain_qc	!= =~ <= >= = < >		!= =~ <= >= = < >
rain_uql (1)	!= =~ <= >= = < >		!= =~ <= >= = < >
rain	!= =~ <= >= = < >		!= =~ <= >= = < >
one_hour_rain_ql	!= =~ <= >= = < >		!= =~ <= >= = < >
one_hour_rain_qc	!= =~ <= >= = < >		!= =~ <= >= = < >
one_hour_rain_uql (1)	!= =~ <= >= = < >		!= =~ <= >= = < >
one_hour_rain	!= =~ <= >= = < >		!= =~ <= >= = < >
snow_depth_ql	!= =~ <= >= = < >		!= =~ <= >= = < >
snow_depth_qc	!= =~ <= >= = < >		!= =~ <= >= = < >
snow_depth_uql (1)	!= =~ <= >= = < >		!= =~ <= >= = < >
snow_depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >
snow_depth_tc_ql	!= =~ <= >= = < >		!= =~ <= >= = < >
snow_depth_tc_qc	!= =~ <= >= = < >		!= =~ <= >= = < >
snow_depth_tc_uql (1)	!= =~ <= >= = < >		!= =~ <= >= = < >
snow_depth_tc (m)	!= =~ <= >= = < >		!= =~ <= >= = < >

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" station latitude longitude elevation time record rh_ql rh_qc rh_uql rh rh_avg rh_std air_temp_ql air_temp_qc air_temp_uql air_temp air_temp_avg air_temp_std air_temp2_ql air_temp2_qc air_temp2_uql air_temp2 air_temp2_avg air_temp2_std wind_spd_ql wind_spd_qc wind_spd_uql wind_spd_avg wind_spd_std wind_dir_ql wind_dir_qc wind_dir_uql wind_dir_avg wind_dir_std rain_ql rain_qc rain_uql rain one_hour_rain_ql one_hour_rain_qc one_hour_rain_uql one_hour_rain snow_depth_ql snow_depth_qc snow_depth_uql snow_depth snow_depth_tc_ql snow_depth_tc_qc snow_depth_tc_uql snow_depth_tc station latitude longitude elevation time record rh_ql rh_qc rh_uql rh rh_avg rh_std air_temp_ql air_temp_qc air_temp_uql air_temp air_temp_avg air_temp_std air_temp2_ql air_temp2_qc air_temp2_uql air_temp2 air_temp2_avg air_temp2_std wind_spd_ql wind_spd_qc wind_spd_uql wind_spd_avg wind_spd_std wind_dir_ql wind_dir_qc wind_dir_uql wind_dir_avg wind_dir_std rain_ql rain_qc rain_uql rain one_hour_rain_ql one_hour_rain_qc one_hour_rain_uql one_hour_rain snow_depth_ql snow_depth_qc snow_depth_uql snow_depth snow_depth_tc_ql snow_depth_tc_qc snow_depth_tc_uql snow_depth_tc station latitude longitude elevation time record rh_ql rh_qc rh_uql rh rh_avg rh_std air_temp_ql air_temp_qc air_temp_uql air_temp air_temp_avg air_temp_std air_temp2_ql air_temp2_qc air_temp2_uql air_temp2 air_temp2_avg air_temp2_std wind_spd_ql wind_spd_qc wind_spd_uql wind_spd_avg wind_spd_std wind_dir_ql wind_dir_qc wind_dir_uql wind_dir_avg wind_dir_std rain_ql rain_qc rain_uql rain one_hour_rain_ql one_hour_rain_qc one_hour_rain_uql one_hour_rain snow_depth_ql snow_depth_qc snow_depth_uql snow_depth snow_depth_tc_ql snow_depth_tc_qc snow_depth_tc_uql snow_depth_tc station latitude longitude elevation time record rh_ql rh_qc rh_uql rh rh_avg rh_std air_temp_ql air_temp_qc air_temp_uql air_temp air_temp_avg air_temp_std air_temp2_ql air_temp2_qc air_temp2_uql air_temp2 air_temp2_avg air_temp2_std wind_spd_ql wind_spd_qc wind_spd_uql wind_spd_avg wind_spd_std wind_dir_ql wind_dir_qc wind_dir_uql wind_dir_avg wind_dir_std rain_ql rain_qc rain_uql rain one_hour_rain_ql one_hour_rain_qc one_hour_rain_uql one_hour_rain snow_depth_ql snow_depth_qc snow_depth_uql snow_depth snow_depth_tc_ql snow_depth_tc_qc snow_depth_tc_uql snow_depth_tc station latitude longitude elevation time record rh_ql rh_qc rh_uql rh rh_avg rh_std air_temp_ql air_temp_qc air_temp_uql air_temp air_temp_avg air_temp_std air_temp2_ql air_temp2_qc air_temp2_uql air_temp2 air_temp2_avg air_temp2_std wind_spd_ql wind_spd_qc wind_spd_uql wind_spd_avg wind_spd_std wind_dir_ql wind_dir_qc wind_dir_uql wind_dir_avg wind_dir_std rain_ql rain_qc rain_uql rain one_hour_rain_ql one_hour_rain_qc one_hour_rain_uql one_hour_rain snow_depth_ql snow_depth_qc snow_depth_uql snow_depth snow_depth_tc_ql snow_depth_tc_qc snow_depth_tc_uql snow_depth_tc ")

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). .parquet - Download as a parquet file. Metadata contains column names ("column_names") and units ("column_units"). .parquetWMeta - Download as a parquet file with detailed metadata. .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 {
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    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";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    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";
  }
  elevation {
    String ioos_category "Location";
    String long_name "Elevation";
    String standard_name "altitude";
    String units "m";
  }
  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";
  }
  record {
    String ioos_category "Unknown";
    String long_name "Record";
  }
  rh_ql {
    String ioos_category "Unknown";
    String long_name "RH QL";
  }
  rh_qc {
    String ioos_category "Quality";
    String long_name "RH QC";
  }
  rh_uql {
    String flag_meaning "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Rh Uql";
    Int16 missing_value 2;
    String standard_name "aggregate_quality_flag";
    String units "1";
  }
  rh {
    String cell_methods "time: point (interval: 5.0 minutes)";
    String ioos_category "Unknown";
    String long_name "RH";
    String standard_name "relative_humidity";
    String units "%";
  }
  rh_avg {
    String cell_methods "time: mean (interval: 5.0 minutes)";
    String ioos_category "Unknown";
    String long_name "Rh Avg";
    String standard_name "relative_humidity";
    String units "%";
  }
  rh_std {
    String cell_methods "time: std (interval: 5.0 minutes)";
    String ioos_category "Unknown";
    String long_name "RH STD";
    String standard_name "relative_humidity";
    String units "%";
  }
  air_temp_ql {
    String ioos_category "Temperature";
    String long_name "Air Temp Ql";
  }
  air_temp_qc {
    String ioos_category "Quality";
    String long_name "Air Temp Qc";
  }
  air_temp_uql {
    String flag_meaning "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Air Temp Uql";
    Int16 missing_value 2;
    String standard_name "aggregate_quality_flag";
    String units "1";
  }
  air_temp {
    String cell_methods "time: point (interval: 5.0 minutes)";
    String ioos_category "Temperature";
    String long_name "Air Temp";
    String standard_name "air_temperature";
    String units "degree_celsius";
  }
  air_temp_avg {
    String cell_methods "time: mean (interval: 5.0 minutes)";
    String ioos_category "Temperature";
    String long_name "Air Temp Avg";
    String standard_name "air_temperature";
    String units "degree_celsius";
  }
  air_temp_std {
    String cell_methods "time: std (interval: 5.0 minutes)";
    String ioos_category "Temperature";
    String long_name "Air Temp Std";
    String standard_name "air_temperature";
    String units "degree_celsius";
  }
  air_temp2_ql {
    String ioos_category "Temperature";
    String long_name "Air Temp2 Ql";
  }
  air_temp2_qc {
    String ioos_category "Quality";
    String long_name "Air Temp2 Qc";
  }
  air_temp2_uql {
    String flag_meaning "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Air Temp2 Uql";
    Int16 missing_value 2;
    String standard_name "aggregate_quality_flag";
    String units "1";
  }
  air_temp2 {
    String cell_methods "time: point (interval: 5.0 minutes)";
    String ioos_category "Temperature";
    String long_name "Air Temp2";
    String standard_name "air_temperature";
    String units "degree_celsius";
  }
  air_temp2_avg {
    String cell_methods "time: mean (interval: 5.0 minutes)";
    String ioos_category "Temperature";
    String long_name "Air Temp2 Avg";
    String standard_name "air_temperature";
    String units "degree_celsius";
  }
  air_temp2_std {
    String cell_methods "time: std (interval: 5.0 minutes)";
    String ioos_category "Temperature";
    String long_name "Air Temp2 Std";
    String standard_name "air_temperature";
    String units "degree_celsius";
  }
  wind_spd_ql {
    String ioos_category "Wind";
    String long_name "Wind Spd Ql";
  }
  wind_spd_qc {
    String ioos_category "Quality";
    String long_name "Wind Spd Qc";
  }
  wind_spd_uql {
    String flag_meaning "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Wind Spd Uql";
    Int16 missing_value 2;
    String standard_name "aggregate_quality_flag";
    String units "1";
  }
  wind_spd_avg {
    String cell_methods "time: mean (interval: 5.0 minutes)";
    String ioos_category "Wind";
    String long_name "Wind Spd Avg";
    String standard_name "wind_speed";
    String units "m/s";
  }
  wind_spd_std {
    String cell_methods "time: std (interval: 5.0 minutes)";
    String ioos_category "Wind";
    String long_name "Wind Spd Std";
    String standard_name "wind_speed";
    String units "m/s";
  }
  wind_dir_ql {
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "Wind From Direction";
    String standard_name "wind_from_direction";
  }
  wind_dir_qc {
    String ioos_category "Quality";
    String long_name "Wind Dir Qc";
  }
  wind_dir_uql {
    Float64 colorBarMaximum 360.0;
    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 "Wind From Direction";
    Int16 missing_value 2;
    String standard_name "aggregate_quality_flag";
    String units "1";
  }
  wind_dir_avg {
    String cell_methods "time: mean (interval: 5.0 minutes)";
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "Wind From Direction";
    String standard_name "wind_from_direction";
  }
  wind_dir_std {
    String cell_methods "time: std (interval: 5.0 minutes)";
    Float64 colorBarMaximum 360.0;
    Float64 colorBarMinimum 0.0;
    String ioos_category "Wind";
    String long_name "Wind From Direction";
    String standard_name "wind_from_direction";
  }
  rain_ql {
    String ioos_category "Meteorology";
    String long_name "Rain Ql";
  }
  rain_qc {
    String ioos_category "Quality";
    String long_name "Rain Qc";
  }
  rain_uql {
    String flag_meaning "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Rain Uql";
    Int16 missing_value 2;
    String standard_name "aggregate_quality_flag";
    String units "1";
  }
  rain {
    String cell_methods "time: point (interval: 5.0 minutes)";
    String ioos_category "Meteorology";
    String long_name "Rain";
  }
  one_hour_rain_ql {
    String ioos_category "Meteorology";
    String long_name "One Hour Rain Ql";
  }
  one_hour_rain_qc {
    String ioos_category "Quality";
    String long_name "One Hour Rain Qc";
  }
  one_hour_rain_uql {
    String flag_meaning "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "One Hour Rain Uql";
    Int16 missing_value 2;
    String standard_name "aggregate_quality_flag";
    String units "1";
  }
  one_hour_rain {
    String cell_methods "time: sum (interval: 1 hour)";
    String ioos_category "Meteorology";
    String long_name "One Hour Rain";
  }
  snow_depth_ql {
    String ioos_category "Ice Distribution";
    String long_name "Snow Depth Ql";
  }
  snow_depth_qc {
    String ioos_category "Quality";
    String long_name "Snow Depth Qc";
  }
  snow_depth_uql {
    String flag_meaning "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Snow Depth Uql";
    Int16 missing_value 2;
    String standard_name "aggregate_quality_flag";
    String units "1";
  }
  snow_depth {
    String cell_methods "time: point (interval: 5.0 minutes)";
    String ioos_category "Ice Distribution";
    String long_name "Snow Depth";
    String standard_name "thickness_of_snowfall_amount";
    String units "m";
  }
  snow_depth_tc_ql {
    String ioos_category "Ice Distribution";
    String long_name "Snow Depth Tc Ql";
  }
  snow_depth_tc_qc {
    String ioos_category "Quality";
    String long_name "Snow Depth Tc Qc";
  }
  snow_depth_tc_uql {
    String flag_meaning "PASS NOT_EVALUATED SUSPECT FAIL MISSING";
    Byte flag_values 1, 2, 3, 4, 9;
    String ioos_category "Quality";
    String long_name "Snow Depth Tc Uql";
    Int16 missing_value 2;
    String standard_name "aggregate_quality_flag";
    String units "1";
  }
  snow_depth_tc {
    String cell_methods "time: sum (interval: 1 year)";
    String ioos_category "Ice Distribution";
    String long_name "Snow Depth Tc";
    String standard_name "thickness_of_snowfall_amount";
    String units "m";
  }
 }
  NC_GLOBAL {
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station";
    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 history 
"2025-06-22T15:48:44Z (source database)
2025-06-22T15:48:44Z https://catalogue.hakai.org/erddap/tabledap/HakaiWeatherStationsResearch.html";
    String infoUrl "???";
    String institution "Hakai Institute";
    String keywords "air, air_temp, air_temp2, air_temp2_avg, air_temp2_qc, air_temp2_ql, air_temp2_std, air_temp2_uql, air_temp_avg, air_temp_qc, air_temp_ql, air_temp_std, air_temp_uql, atmosphere, atmospheric, average, data, depth, dir, direction, distribution, earth, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, elevation, hour, ice, ice distribution, identifier, latitude, local, longitude, measurement, meteorology, one, one_hour_rain, one_hour_rain_qc, one_hour_rain_ql, one_hour_rain_uql, precipitation, profiler, quality, rain, rain_qc, rain_ql, rain_uql, rainfall, record, rh_avg, rh_qc, rh_ql, rh_std, rh_uql, salinity, salinity-temperature-depth, science, snow, snow_depth_tc, snow_depth_tc_qc, snow_depth_tc_ql, snow_depth_tc_uql, source, spd, station, std, surface, temp2, temperature, time, uql, wind, wind_dir_avg, wind_dir_qc, wind_dir_ql, wind_dir_std, wind_dir_uql, wind_from_direction, wind_spd_avg, wind_spd_qc, wind_spd_ql, wind_spd_std, wind_spd_uql, winds";
    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.";
    String sourceUrl "(source database)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String subsetVariables "station";
    String summary "Data from a local source.";
    String title "Hakai Weather Stations Timeseries Research";
  }
}

 

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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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ERDDAP, Version 2.25_1
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