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Dataset Title:  Pacific Storms PMEL AOML 2020 GTS data Subscribe RSS
Institution:  Saildrone   (Dataset ID: sd1054)
Range: longitude = -131.17432 to -124.26644°E, latitude = 44.71927 to 48.057125°N, time = 2020-12-04T19:00:00Z to 2021-03-20T14:45:00Z
Information:  Summary ? | License ? | FGDC | ISO 19115 | Metadata | Background (external link) | Subset | 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 {
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 44.7192672, 48.0571264;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String device_name "VectorNav Hull IMU (100037736)";
    String gts_ingest "true";
    String installed_date "2020-10-16T18:55:33.012090Z";
    Float64 installed_height 0.34;
    String ioos_category "Location";
    String long_name "Latitude";
    String model_name "VN-300";
    String model_product_page "https://www.vectornav.com/products/vn-300";
    String nominal_sampling_schedule "Always on";
    String serial_number "100037736";
    String standard_name "latitude";
    String units "degrees_north";
    Float64 update_period 50.0;
    String vendor_name "VectorNav";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -131.1743104, -124.2664448;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String device_name "VectorNav Hull IMU (100037736)";
    String gts_ingest "true";
    String installed_date "2020-10-16T18:55:33.012090Z";
    Float64 installed_height 0.34;
    String ioos_category "Location";
    String long_name "Longitude";
    String model_name "VN-300";
    String model_product_page "https://www.vectornav.com/products/vn-300";
    String nominal_sampling_schedule "Always on";
    String serial_number "100037736";
    String standard_name "longitude";
    String units "degrees_east";
    Float64 update_period 50.0;
    String vendor_name "VectorNav";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.6071084e+9, 1.6162515e+9;
    String axis "T";
    String calendar "gregorian";
    String gts_ingest "true";
    String ioos_category "Time";
    String long_name "time in seconds";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  trajectory {
    Float32 _FillValue NaN;
    Float32 actual_range 1054.0, 1054.0;
    String cf_role "trajectory_id";
    String comment "A trajectory is a single deployment of a drone";
    String long_name "Trajectory/Drone ID";
  }
  TEMP_AIR_MEAN {
    Float64 _FillValue NaN;
    Float64 actual_range 4.71, 14.29;
    Float64 colorBarMaximum 40.0;
    Float64 colorBarMinimum -10.0;
    String device_name "Rotronic AT/RH (0020256968)";
    String gts_ingest "true";
    String installed_date "2020-10-06T21:59:27.713165Z";
    Float64 installed_height 2.1;
    String last_calibrated "2018-04-20";
    String long_name "Air temperature";
    String model_name "HC2-S3";
    String nominal_sampling_schedule "60s on, 240s off, centered at :00";
    String serial_number "0020256968";
    String standard_name "air_temperature";
    String units "degree_C";
    Float64 update_period 1000.0;
    String vendor_name "Rotronic";
  }
  RH_MEAN {
    Float64 _FillValue NaN;
    Float64 actual_range 54.22, 99.4;
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String device_name "Rotronic AT/RH (0020256968)";
    String gts_ingest "true";
    String installed_date "2020-10-06T21:59:27.713165Z";
    Float64 installed_height 2.1;
    String last_calibrated "2018-04-20";
    String long_name "Relative humidity";
    String model_name "HC2-S3";
    String nominal_sampling_schedule "60s on, 240s off, centered at :00";
    String serial_number "0020256968";
    String standard_name "relative_humidity";
    String units "percent";
    Float64 update_period 1000.0;
    String vendor_name "Rotronic";
  }
  BARO_PRES_MEAN {
    Float64 _FillValue NaN;
    Float64 actual_range 996.62, 1035.71;
    Float64 colorBarMaximum 1050.0;
    Float64 colorBarMinimum 950.0;
    String device_name "Vaisala Barometer (2510669)";
    String gts_ingest "true";
    String installed_date "2020-10-16T18:49:34.988051Z";
    Float64 installed_height 0.2;
    String last_calibrated "2018-06-15";
    String long_name "Air pressure";
    String model_name "PTB210";
    String model_product_page "http://www.vaisala.com/en/products/pressure/Pages/PTB210.aspx";
    String nominal_sampling_schedule "60s on, 240s off, centered at :00";
    String serial_number "2510669";
    String standard_name "air_pressure";
    String units "hPa";
    Float64 update_period 1000.0;
    String vendor_name "Vaisala";
  }
  TEMP_SBE37_MEAN {
    Float64 _FillValue NaN;
    Float64 actual_range 8.0411, 13.3847;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String device_name "Sea-Bird Scientific Conductivity/Temp/ODO (20998)";
    String gts_ingest "true";
    String installed_date "2020-10-16T18:55:11.173349Z";
    Float64 installed_height -1.5;
    String last_calibrated "2019-06-30";
    String long_name "Seawater temperature";
    String model_name "SBE37-SMP-ODO Microcat";
    String nominal_sampling_schedule "12s on, 588s off, centered at :00";
    String serial_number "20998";
    String standard_name "sea_water_temperature";
    String units "degree_C";
    Float64 update_period 1000.0;
    String vendor_name "Sea-Bird Scientific";
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.6.3,hdf5=1.10.2";
    String area "Pacific Ocean";
    String cdm_data_type "Trajectory";
    String cdm_trajectory_variables "trajectory";
    String Conventions "CF-1.6, ACDD-1.3, COARDS";
    String creator_email "support@saildrone.com";
    String creator_name "Saildrone";
    String creator_url "https://saildrone.com/";
    String data_mode "realtime";
    String date_created "2021-03-20T15:30:01.026538Z";
    String description "Saildrone NetCDF Format";
    String drone_id "1054";
    Float64 Easternmost_Easting -124.2664448;
    String featureType "Trajectory";
    Float64 geospatial_lat_max 48.0571264;
    Float64 geospatial_lat_min 44.7192672;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -124.2664448;
    Float64 geospatial_lon_min -131.1743104;
    String geospatial_lon_units "degrees_east";
    String gts_ingest "true";
    String history 
"Saildrone
2024-06-19T09:47:32Z (local files)
2024-06-19T09:47:32Z https://data.pmel.noaa.gov/generic/tabledap/sd1054.das";
    String id "145302";
    String infoUrl "https://saildrone.com/";
    String institution "Saildrone";
    Float64 interval 900.0;
    String keywords "active, air, air_pressure, air_temperature, angle, aoml, atlantic, atmosphere, atmospheric, BARO_PRES_MEAN, BARO_PRES_STDDEV, biosphere, chemistry, CHLOR_WETLABS_MEAN, CHLOR_WETLABS_STDDEV, chlorophyll, COG, concentration, COND_SBE37_MEAN, COND_SBE37_STDDEV, conductivity, course, data, density, dissolved, dominant, downward, downward_air_velocity, downwelling, drone, 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 Temperature > Air Temperature, Earth Science > Atmosphere > Atmospheric Temperature > Surface Air Temperature, Earth Science > Atmosphere > Atmospheric Water Vapor > Humidity, Earth Science > Atmosphere > Atmospheric Winds > Surface Winds, Earth Science > Biosphere > Vegetation > Photosynthetically Active Radiation, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Chemistry > Oxygen, Earth Science > Oceans > Ocean Temperature > Sea Surface Temperature, Earth Science > Oceans > Ocean Temperature > Water Temperature, Earth Science > Oceans > Ocean Waves > Significant Wave Height, Earth Science > Oceans > Ocean Waves > Wave Period, Earth Science > Oceans > Ocean Waves > Wave Spectra, Earth Science > Oceans > Salinity/Density > Conductivity, Earth Science > Oceans > Salinity/Density > Salinity, eastward, eastward_wind, electrical, environmental, filtered, flux, fractional, fractional_saturation_of_oxygen_in_sea_water, global, ground, gts, gust, GUST_WND_MEAN, GUST_WND_STDDEV, HDG, HDG_WING, heading, height, humidity, laboratory, latitude, level, longitude, marine, mass, mass_concentration_of_chlorophyll_in_sea_water, maximum, measurement, measurements, meteorological, mole, mole_concentration_of_dissolved_molecular_oxygen_in_sea_water, molecular, near, noaa, northward, northward_wind, nrt, O2, O2_CONC_SBE37_MEAN, O2_CONC_SBE37_STDDEV, O2_SAT_SBE37_MEAN, O2_SAT_SBE37_STDDEV, ocean, oceanographic, oceans, over, oxygen, pacific, PAR_AIR_MEAN, PAR_AIR_STDDEV, period, photon, photosynthetic, photosynthetically, platform, platform_course, platform_speed_wrt_ground, platform_yaw_angle, pmel, practical, pressure, radiation, real, relative, relative_humidity, RH_MEAN, RH_STDDEV, rms, saildrone, SAL_SBE37_MEAN, SAL_SBE37_STDDEV, salinity, saturation, science, sea, sea_surface_skin_temperature, sea_surface_wave_period_at_variance_spectral_density_maximum, sea_surface_wave_significant_height, sea_water_electrical_conductivity, sea_water_practical_salinity, sea_water_temperature, seawater, seconds, significant, skin, SOG, spectra, spectral, speed, static, storms, surface, surface_downwelling_photosynthetic_photon_flux_in_air, system, telecommunications, TEMP_AIR_MEAN, TEMP_AIR_STDDEV, TEMP_IR_SEA_WING_UNCOMP_MEAN, TEMP_IR_SEA_WING_UNCOMP_STDDEV, TEMP_SBE37_MEAN, TEMP_SBE37_STDDEV, temperature, time, trajectory, trajectory/drone, UWND_MEAN, UWND_STDDEV, vapor, variance, vegetation, vehicle, velocity, VWND_MEAN, VWND_STDDEV, water, wave, WAVE_DOMINANT_PERIOD, WAVE_SIGNIFICANT_HEIGHT, waves, wind, wind_measurement_height_filtered, WIND_MEASUREMENT_HEIGHT_MEAN, wind_measurement_height_rms, WIND_MEASUREMENT_HEIGHT_STDDEV, wind_speed_of_gust, winds, wing, wing_angle, wing_yaw, wrt, WWND_MEAN, WWND_STDDEV, yaw";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "2020 © SAILDRONE Inc.  All Rights Reserved.  These Data and any resultant Product are the property of SAILDRONE.  At SAILDRONE's sole discretion, these Data may be used for research or educational activities only. You may not use, share or sell the Data for any other purpose including for commercial purposes, or alternatively, have any unauthorized third party use or sell the Data, either for any research, educational and/or commercial purpose(s), without the express prior consent of SAILDRONE.";
    String naming_authority "com.saildrone";
    String netcdf_version "4.6.3";
    String nodc_template_version "NODC_NetCDF_Trajectory_Template_v2.0";
    Float64 Northernmost_Northing 48.0571264;
    String platform "Saildrone";
    String project "pacific_storms_pmel_aoml_2020";
    String source "Saildrone";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 44.7192672;
    String standard_name_vocabulary "CF Standard Name Table v58";
    String subsetVariables "trajectory";
    String summary "A gen6 Saildrone USV was launched from Alameda, CA with a shorter, 'hurricane wing' and the standard saildrone sensor suite. The objectives of this mission are to test the new, ruggedized wing in storms in the Pacific and to provide near real time observations to forecast centers.";
    String testOutOfDate "now-1day";
    String time_coverage_duration "PT59M59S";
    String time_coverage_end "2021-03-20T14:45:00Z";
    String time_coverage_resolution "PT15M";
    String time_coverage_start "2020-12-04T19:00:00Z";
    String time_in "minutes";
    String title "Pacific Storms PMEL AOML 2020 GTS data";
    Float64 Westernmost_Easting -131.1743104;
    String wmo_id "1801574";
    String wmo_platform_code "1801574";
  }
}

 

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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