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Dataset Title:  Madeira Beach, Florida - MB120220923Sbaro Subscribe RSS
Institution:  Coastal and Marine Hazards and Resources Program, U.S. Geological Survey   (Dataset ID: 10_5066_P9HZKIWB_MB120220923Sbaro_nc)
Range: longitude = -83.09532 to -83.09532°E, latitude = 27.71652 to 27.71652°N, time = 2022-09-23T17:30:16Z to 2023-01-12T10:59:16Z
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_id {
    String actual_range 
"10_5066_P9HZKIWB_MB120220923Sbaro_nc
10_5066_P9HZKIWB_MB120220923Sbaro_nc";
    String cf_role "timeseries_id";
    String ioos_category "Identifier";
    String long_name "Station ID";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.663954216e+9, 1.67352115675e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "time (UTC)";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 actual_range 27.71652, 27.71652;
    String axis "Y";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 actual_range -83.09532, -83.09532;
    String axis "X";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "degrees_east";
  }
  depth_m {
    Float64 actual_range 0.0, 0.0;
    String ioos_category "Other";
    String long_name "Depth Below Mean Sea Level";
    String positive "down";
    String standard_name "depth_below_geoid";
    String units "m";
  }
  z {
    Float64 actual_range -0.1089229219954504, -0.1089229219954504;
    String axis "Z";
    String geopotential_datum_name "NAVD88";
    String ioos_category "Other";
    String long_name "Height Relative to NAVD88";
    String positive "up";
    String standard_name "height";
    String units "m";
  }
  BPR_915 {
    Float64 actual_range 997.98, 1028.42;
    String FillValue "nan";
    String ioos_category "Other";
    Float64 maximum 1028.42;
    Float64 minimum 997.98;
    String standard_name "air_pressure";
    String units "mbar";
  }
 }
  NC_GLOBAL {
    String atmospheric_pressure_correction_offset_applied "-0.018";
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "station_id";
    String CollaboratingAgency "USGS";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String COORD_SYSTEM "GEOGRAPHIC";
    String creator_url "https://www.usgs.gov";
    String DATA_ORIGIN "USGS St. Petersburg Coastal and Marine Science Center";
    String DATA_SUBTYPE "MOORED";
    String DATA_TYPE "TIME";
    String Deployment_date "2022-09-23 17:30:00";
    String DEPTH_CONST "0";
    Float64 Easternmost_Easting -83.09532;
    String EXPERIMENT "Madeira Beach, Florida";
    String experiment_name "10.5066-P9HZKIWB";
    String featureType "TimeSeries";
    String Field_Activity_Number "2021-311-FA";
    String filename "MB120220923S";
    String geopotential_datum_name "NAVD88";
    String geopotential_datum_note "(meters), Elevation at seabed using VDatum with LMSL and GEOID18";
    Float64 geospatial_lat_max 27.71652;
    Float64 geospatial_lat_min 27.71652;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -83.09532;
    Float64 geospatial_lon_min -83.09532;
    String geospatial_lon_units "degrees_east";
    Float64 height_above_geopotential_datum -21.125;
    String history 
"Processed in MATLAB on 05-Dec-2024 12:45:24; raw SD card files parsed with sd_file_parser.py; spectrum created with generate_2d_spectum.py.
2025-04-06T21:57:22Z (local files)
2025-04-06T21:57:22Z https://cmgds.marine.usgs.gov/tabledap/10_5066_P9HZKIWB_MB120220923Sbaro_nc.das";
    String infoUrl "https://cmgds.marine.usgs.gov/ocean-time-series/";
    Float64 initial_instrument_height 21.01607707800455;
    String initial_instrument_height_units "meters from seabed to buoy";
    String institution "Coastal and Marine Hazards and Resources Program, U.S. Geological Survey";
    String instrument_type "Spotter";
    Float64 latitude 27.71652;
    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 longitude -83.09532;
    String magnetic_variation "-5.5423";
    String MOORING "MB1";
    String MOORING_NOTE "Smart Mooring included a bottom node with an RBRcoda3 that measured pressure and temperature and a node 2 meters below the surface with a Sofar temperature sensor. ";
    String NCProperties "version=2,netcdf=4.9.2,hdf5=1.10.11";
    Float64 Northernmost_Northing 27.71652;
    String platform_type "Anchored to a 178 lb steel frame";
    String POS_CONST "0";
    String PROGRAM "USGS Coastal and Marine Hazards and Resources Program";
    String PROJECT "Coastal Change Hazards";
    String publisher_url "https://www.usgs.gov";
    String Recovery_date "2023-01-12 11:00:00";
    String serial_number "SPOT-30129R";
    String Site "MB";
    String SmartMooringNote "Smart Mooring bottom node (RBRDT) failed on November 20, 2022.";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 27.71652;
    String start_time "2022-09-23T17:30:38.400";
    String stop_time "2023-01-12T10:39:54.000";
    String summary "Unspecified";
    String time_coverage_end "2023-01-12T10:59:16Z";
    String time_coverage_start "2022-09-23T17:30:16Z";
    String title "Madeira Beach, Florida - MB120220923Sbaro";
    String VAR_FILL "NaN";
    Float64 WATER_DEPTH 21.01607707800455;
    String WATER_DEPTH_NOTE "(meters), Mean water level from data";
    String WATER_MASS "Gulf of Mexico";
    String WaveSpectra "1";
    Float64 Westernmost_Easting -83.09532;
  }
}

 

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.