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Dataset Title:  NOAA-Navy Sanctuary Soundscapes Monitoring Project, Sound Pressure Spectral
Density, Channel Islands CI02_01_PSD
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Institution:  NOAA NCEI   (Dataset ID: noaaSanctSound_CI02_01_PSD_1h)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
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time (UTC) ?
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frequency (Hz) ?
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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 {
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.541016e+9, 1.5473916e+9;
    String axis "T";
    String ioos_category "Time";
    String long_name "Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
  frequency {
    Float64 actual_range 20.0, 24000.0;
    String comment "Frequency resolution of 1 Hz";
    String ioos_category "Unknown";
    String long_name "frequency";
    String standard_name "sound_frequency";
    String units "Hz";
  sound_pressure_spectral_density_levels {
    Float64 colorBarMaximum 110.0;
    Float64 colorBarMinimum 50.0;
    String comment "Power spectral density levels per hour were calculated as the arithmetic mean of mean-square pressure amplitude (µPa^2) over an averaging window of 3600 seconds and converted to decibels (dB re 1 µPa^2/Hz).";
    String ioos_category "Pressure";
    String long_name "Sound pressure spectrum level";
    String standard_name "sound_intensity_level_in_water";
    String units "dB";
    String _NCProperties "version=2,netcdf=4.7.4,hdf5=1.10.5";
    String acknowledgement "This project received funding from the U.S. Navy.";
    String cdm_data_type "Grid";
    String comment "Preliminary metadata, may change as project progresses";
    String component "SoundTrap ST500";
    String contributor_name "U.S. Navy";
    String contributor_role "funding";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "";
    String creator_name "US Naval Postgraduate School";
    String creator_type "person";
    String creator_url "";
    String date_created "2020-06-25";
    String date_issued "2020-06-25";
    String defaultGraphQuery "sound_pressure_spectral_density_levels[][]&.draw=surface&.vars=time|frequency|acoustic&.yRange=||true|Log";
    String history 
"Pressure spectral density (PSD) levels in units of 1 �Pa^2/Hz were calculated using Welch's Method in Matlab (FFT length = 48000 points, Hann window length = 48000, FFT overlap = 0%), resulting in PSD estimates of mean-square pressure amplitude (�Pa^2) with a frequency resolution of 1 Hz and temporal resolution of 1 second.  For every 1-Hertz (Hz) frequency band from 20 Hz to 24,000 Hz, PSD levels per hour were calculated as the arithmetic mean of mean-square pressure amplitude (�Pa^2) over an averaging window of 3600 seconds. PSD levels per hour for each frequency band were converted to decibels (dB re 1 �Pa^2/Hz).
2021-12-05T22:30:07Z (local files)
    String id "NOAA-NAVY-SanctSound_CI02_01_PSD_1h";
    String infoUrl "";
    String institution "NOAA NCEI";
    String keywords "acoustic, acoustics, ambient noise, aquatic ecosystems, attenuation, attenuation/transmission, centers, cetacean, channel, ci02, data, density, division, earth, Earth Science > Oceans > Ocean Acoustics > Acoustic Attenuation/Transmission, environmental, fish, frequency, information, intensity, islands, level, marine, marine environment monitoring, marine habitat, monitoring, national, national centers for environmental information, national marine fisheries service, navy, ncei, nesdis, nms, noaa, noaa-navy, ocean, ocean acoustics, oceans, office of national marine sanctuaries, passive acoustic recorder, physical, pressure, project, projectsound, psd, sanctsound, sanctuaries, sanctuary, satellite, science, sciences, sea, sea level, seawater, service, sound, sound_intensity_level_in_water, soundscapes, spectral, spectrum, time, transmission, u.s. department of commerce, water";
    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 Creator, 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 naming_authority "NOAA-NAVY";
    String product_version "2020-04";
    String project "NOAA Passive Acoustic Data";
    String publisher_email "";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "";
    String sensor "hydrophone";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v70";
    String summary "NOAA and the U.S. Navy are working to better understand underwater sound within the U.S. National Marine Sanctuary System. From 2018 to 2021, these agencies will work with numerous scientific partners to study sound within seven national marine sanctuaries and one marine national monument, which includes waters off Hawai'i and the east and west coasts. Standardized measurements will assess sounds produced by marine animals, physical processes (e.g., wind and waves), and human activities. Collectively, this information will help NOAA and the Navy measure sound levels and baseline acoustic conditions in sanctuaries. This work is a continuation of ongoing Navy ( and NOAA ( monitoring and research, including efforts by NOAA's Office of National Marine Sanctuaries ( This dataset represents the derived products from the raw acoustic data that are archived at NOAA's National Centers for Environmental Information (";
    String time_coverage_end "2019-01-13T15:00:00Z";
    String time_coverage_start "2018-10-31T20:00:00Z";
    String title "NOAA-Navy Sanctuary Soundscapes Monitoring Project, Sound Pressure Spectral Density, Channel Islands CI02_01_PSD";


Using griddap to Request Data and Graphs from Gridded Datasets

griddap lets you request a data subset, graph, or map from a gridded dataset (for example, sea surface temperature data from a satellite), via a specially formed URL. griddap uses the OPeNDAP (external link) Data Access Protocol (DAP) (external link) and its projection 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.

griddap request URLs must be in the form{?query}
For example,[(2002-06-01T09:00:00Z)][(-89.99):1000:(89.99)][(-179.99):1000:(180.0)]
Thus, the query is often a data variable name (e.g., analysed_sst), followed by [(start):stride:(stop)] (or a shorter variation of that) for each of the variable's dimensions (for example, [time][latitude][longitude]).

For details, see the griddap Documentation.

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