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Dataset Title:  Data from coastal circulation and water-column properties in the National Park
of American Samoa, February-July 2015, AMS15M5M42tl
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Institution:  USGS Coastal and Marine Geology Program   (Dataset ID: AMS15M5M42tl)
Range: longitude = -170.646 to -170.646°E, latitude = -14.24695 to -14.24695°N, depth = 18.5 to 18.5m, time = 2015-04-15T05:00:00Z to 2015-06-14T13:24:00Z
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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.429074e+9, 1.43428824e+9;
    String axis "T";
    String calendar "proleptic_gregorian";
    String ioos_category "Time";
    String long_name "time of measurement";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float32 actual_range 18.5, 18.5;
    String axis "Z";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    Int32 epic_code 3;
    String FORTRAN_format "F10.2";
    String ioos_category "Location";
    String long_name "depth of sensor below mean water level";
    String positive "down";
    String source_name "z";
    String standard_name "depth";
    String type "EVEN";
    String units "m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float32 actual_range -14.24695, -14.24695;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String DATUM "NAD83";
    Int32 epic_code 500;
    String FORTRAN_format "F10.2";
    String generic_name "lat";
    String ioos_category "Location";
    String long_name "sensor latitude";
    String name "LAT";
    String standard_name "latitude";
    String type "EVEN";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float32 actual_range -170.646, -170.646;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String DATUM "NAD83";
    Int32 epic_code 502;
    String FORTRAN_format "F10.2";
    String generic_name "lon";
    String ioos_category "Location";
    String long_name "sensor longitude";
    String name "LON";
    String standard_name "longitude";
    String type "EVEN";
    String units "degrees_east";
  }
  T_28 {
    Float32 _FillValue 1.0e+35;
    Float32 actual_range 28.518, 30.016;
    Float64 colorBarMaximum 32.0;
    Float64 colorBarMinimum 0.0;
    String coverage_content_type "physicalMeasurement";
    Int32 epic_code 20;
    String FORTRAN_format "f10.2";
    String generic_name "temp";
    String ioos_category "Temperature";
    String long_name "TEMPERATURE (C)";
    String name "T";
    Float32 sensor_depth 18.5;
    Float32 serial_number 1.0019074e+7;
    String standard_name "sea_water_temperature";
    String units "degree_C";
    Float32 valid_range 0.0, 100.0;
  }
  feature_type_instance {
    String cf_role "timeseries_id";
    String coverage_content_type "physicalMeasurement";
    String ioos_category "Identifier";
    String long_name "Feature Type Instance";
  }
 }
  NC_GLOBAL {
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.10.6";
    String cdm_data_type "TimeSeries";
    String cdm_timeseries_variables "feature_type_instance, latitude, longitude";
    Float64 clock_error 0.0;
    String clock_error_units "Seconds";
    String CollaboratingAgency "NPS";
    Float64 COMPOSITE 0.0;
    String Conventions "CF-1.6, ACDD-1.3, COARDS";
    String COORD_SYSTEM "GEOGRAPHIC";
    String creator_name "USGS Coastal and Marine Geology Program";
    String creator_type "institution";
    String creator_url "https://www.usgs.gov/";
    String CruiseID "2015-626-FA ";
    String DATA_CMNT "National Park American Samoa Site M5 East Mooring Hobo Temp Logger, Deployment 2";
    String DATA_ORIGIN "USGS WHSC and PSC Sed Trans Groups";
    String DATA_SUBTYPE "MOORED";
    String DATA_TYPE "TIME";
    String datasetID "AMS15M5M42tl";
    String date_created "2020-07-14T21:20:02.877Z";
    String DELTA_T "120";
    String Deployment_date "12-Feb-2015 23:40";
    Float64 DEPTH_CONST 0.0;
    String DESCRIPT "National Park American Samoa";
    String DESCRIPTION "thermistor chain";
    Float64 DRIFTER 0.0;
    Float64 Easternmost_Easting -170.646;
    String EXPERIMENT "AMS15";
    String experiment_id "AMS15";
    String featureType "TimeSeries";
    Float64 geospatial_lat_max -14.24695;
    Float64 geospatial_lat_min -14.24695;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -170.646;
    Float64 geospatial_lon_min -170.646;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 18.5;
    Float64 geospatial_vertical_min 18.5;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"Imported from ScienceBase data release and converted to CF using process_F7RN362H.ipynb;
2024-10-10T01:29:32Z (local files)
2024-10-10T01:29:32Z https://geoport.usgs.esipfed.org/tabledap/AMS15M5M42tl.das";
    String id "AMS15M5M42tl";
    String infoUrl "https://doi.org/10.5066/F7RN362H";
    Float64 initial_instrument_height 6.0;
    String inst_number "AMS15M5M42";
    String INST_TYPE "HOBO Onset Temperature Logger";
    String institution "USGS Coastal and Marine Geology Program";
    Float32 instrument_serial_number 1.0019074e+7;
    String keywords "acoustic, adcp, american, ams15m5m42tl, circulation, coastal, column, conductivity, ctd, current, currents, data, depth, doppler, earth, Earth Science > Oceans > Ocean Temperature > Water Temperature, feature, feature_type_instance, february-july, geological, geology, identifier, instance, latitude, longitude, marine, measurement, national, naval, nps, ocean, oceanography, oceans, park, postgraduate, profiler, program, properties, samoa, school, science, sea, sea_water_temperature, seawater, sediment transport, sensor, sonde, states, survey, T_28, temperature, time, type, united, usgs, velocity, water, water-column";
    String keywords_vocabulary "GCMD Science Keywords";
    Float64 latitude -14.24695;
    String LatLonDatum "NAD83";
    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 -170.64598;
    Float64 magnetic_variation 12.9;
    String metadata_link "https://doi.org/10.5066/F7RN362H";
    String MOORING "AMS15M5M";
    String moortype "Mooring";
    String naming_authority "gov.usgs.cmgp";
    Float64 nominal_instrument_depth 18.5;
    Float64 Northernmost_Northing -14.24695;
    String platform_type "Mooring";
    Float64 POS_CONST 0.0;
    String program "Coral Reefs";
    String project "CMG_Portal";
    String publisher_url "https://www.usgs.gov/";
    String Recovery_date "15-Jul-2015 23:00";
    String Region "South Pacific";
    Float64 samp_rate 120.0;
    String SciPi "Curt Storlazzi";
    String Site "East";
    String source "USGS";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -14.24695;
    String standard_name_vocabulary "CF Standard Name Table v66";
    String subsetVariables "depth, latitude, longitude, feature_type_instance";
    String summary 
"Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015 - AMS15M5M42tl. In 2015, U.S. Geological Survey (United States Geological Survey (USGS)) and U.S. National Park Service (Naval Postgraduate School (NPS)) researchers began a collaborative study to determine coastal circulation patterns and water-column properties along north-central Tutuila, in an area focused on NPSA's Tutuila Unit and its coral reef ecosystem. The continuous measurements of waves, currents, tides, and water-column properties (temperature and salinity) from these instrument deployments, coupled with available meteorological measurements of wind and rainfall, provide information on nearshore circulation and the variability in these hydrodynamic properties for NPSA's Tutuila Unit. These data will complement ongoing and future water quality efforts along north-central Tutuila and in NPSA that will provide baseline information to determine impacts resulting from management and (or) climate change.

The field experiment included collection of continuous oceanographic data, as well as spatially extensive shipboard surveys and drifter deployments in NPSA from February through July 2015. The goals of the experiment were to understand controls on flow patterns and water-column properties in the NPSA. To do this, the USGS and NPS set out to complete the following tasks: 

Measure temporal variability in wave heights, wave periods, wave directions, current speeds, current directions, temperature, and salinity.
Measure spatial variability in current speeds, current directions, temperature, salinity, chlorophyll, turbidity, and light transmission.
Track pathways of Lagrangian ocean surface current drifters to understand transport pathways of buoyant surface material (coral larvae, debris, search-and rescue, etc).
Compile modeled deep-water wave height, wave period, and wave direction data and locally-measured wind speed, wind direction, rainfall and barometric pressure.
Determine the influence of oceanographic and meteorologic forcing on circulation patterns and water-column properties along north-central Tutuila and in NPSA waters.
This data release includes data from acoustic doppler current profilers, conductivity-temperature-depth profilers, satellite-tracked Lagrangian surface-current drifters, and other time-series oceanographic data. A full description of the data and findings of the study are included in a USGS Open File Report:
Storlazzi, C.D., Cheriton, O.M., Rosenberger, K.J., Logan, J.B., and Clark, T.B., 2017, Coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015: U.S. Geological Survey Open-File Report 2017-1060, 104 p., https://doi.org/10.3133/ofr20171060.";
    String time_coverage_duration "P60DT8H24M0S";
    String time_coverage_end "2015-06-14T13:24:00Z";
    String time_coverage_resolution "P0DT0H2M0S";
    String time_coverage_start "2015-04-15T05:00:00Z";
    Float64 TimeCorrection 11.0;
    String title "Data from coastal circulation and water-column properties in the National Park of American Samoa, February-July 2015, AMS15M5M42tl";
    String VAR_DESC "T";
    Float64 WATER_DEPTH 24.5;
    String WATER_DEPTH_SOURCE "measured";
    Float64 Westernmost_Easting -170.646;
  }
}

 

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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