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Dataset Title:  NOAA-Navy Sanctuary Soundscape Monitoring Project, Vessel Detection Events,
Florida Keys, SanctSound_FK02_04_ships
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Institution:  NOAA   (Dataset ID: noaaSanctSound_FK02_04_ships)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | 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 {
  start_time {
    Float64 actual_range 1.582140413e+9, 1.588538332e+9;
    String axis "T";
    String comment "Start time of detections. Corresponding end time for detection in end_time_var at same index value as start_time_var.";
    String ioos_category "Time";
    String long_name "Start Time";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00.000Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  ships_presence {
    String cell_methods "time: sum (comment: presence (1) or absence (0) over time interval)";
    String comment "Presence of Vessels (0/noship = not present; 1/ship = present)";
    String ioos_category "Statistics";
    String long_name "ships presence";
    String standard_name "ships_presence";
    String units "boolean";
  end_time {
    Float64 actual_range 1.582140963e+12, 1.588538867e+12;
    String axis "T";
    String comment "End time of detections. Corresponding start time for detection in start_time_var at same index value as end_time_var.";
    String ioos_category "Time";
    String long_name "End Time";
    String standard_name "end_time";
    String time_origin "01-JAN-1970 00:00:00";
    String units "seconds since 1970-01-01T00:00:00Z";
    String abstract "This record represents the individual vessel events detected from raw passive acoustic data. Events are identified from the long-term spectral average (LTSAs) created for each site with a 5 s, 48 kHz resolution. The LTSA is analyzed in blocks where the calibrated power spectral density estimates are averaged in user-defined low, medium and high frequency bands. These data were recorded at SanctSound Site FK02_04 between February 19, 2020 and May 04, 2020.";
    String acknowledgement "This project received funding from the U.S. Navy.";
    String cdm_data_type "TimeSeries";
    String citation "Cite as: NOAA Office of National Marine Sanctuaries and U.S Navy. 2021. Vessel Detection Events Recorded at SanctSound Site FK02_04, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI:";
    String comment "Data quality: Recordings are corrupted by low frequency noise (less than 150 Hz) after 19-March-2020. Sound levels (received levels) in frequencies below 150 Hz are higher than what might be expected in the absence of this noise corruption from 19-March-2020 until the end of the dataset.";
    String contributor_name "Simone Baumann-Pickering, Scripps Institution of Oceanography; Leila Hatch, NOAA Stellwagen Bank National Marine Sanctuary; John Joseph, U.S. Naval Postgraduate School; Anke Kuegler, Hawai'i Institute of Marine Biology, University of Hawai'i at Manoa; Marc Lammers, NOAA Hawaiian Islands Humpback Whale National Marine Sanctuary; Tetyana Margolina, U.S. Naval Postgraduate School; Karlina Merkens, NOAA Pacific Islands Fisheries Science Center; Lindsey Peavey Reeves, NOAA Channel Islands National Marine Sanctuary; Timothy Rowell, NOAA Northeast Fisheries Science Center; Jenni Stanley, Woods Hole Oceanographic Institution; Alison Stimpert, Moss Landing Marine Laboratories; Sofie Van Parijs, NOAA Northeast Fisheries Science Center; Eden Zang,NOAA Hawaiian Islands Humpback Whale National Marine Sanctuary";
    String contributor_role "Principal Investigator";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "";
    String creator_name "NOAA NCEI";
    String creator_url "";
    String date_created "2022-08-22";
    String date_issued "2022-08-22";
    String featureType "TimeSeries";
    String geospatial_bounds "POINT (24.4888 -81.666316)";
    String history 
"Vessel events (individual events) were detected using Triton's Ship-Detector Remora. An LTSA is created for each site with a 5 s, 48 kHz resolution; events are identified from these LTSAs. Individual site settings are tested using the Interactive Detector and most conservative settings are run using the Batch Detector. The LTSA is analyzed in blocks of data (windows), where the calibrated sound pressure spectral density (PSD) estimates are averaged in three frequency bands; low, medium and high (defined by user). Start and end times of the events are detected and stored if the three averaged PSDs meet three conditions (all values set by user): 1. Amplitude is above a user-defined, time-dependent amplitude threshold computed using a histogram method of the averaged PSDs; 2. The event duration is above a user-defined time in the three bands. The duration in the higher band must be shorter that the medium band, or the event duration above the threshold in the lower and medium band must be longer than the user specified time, and the duration in the medium band must be shorter than the lower band; 3. Events are distinguished from weather events when averaged received levels of the event in the lower band are above a user specified percentage of the background sound in the window. The window length and the overlapping time with the next consecutive window is defined by the user. Once Batch Detector is run, user reviews results and corrects labelled events to either Ambient (non-ship source) or Ship. Low band limit (Hz):100-3,000, Medium band limit: 3,000-4,000, High band limit: 4,000-5,000, Close passage duration threshold (s): 20, Distant passage duration threshold (s):25, Received level threshold (%): 0.01, Time between passages (h): 0.01, Buffer time (min): 4, Window Size (h): 1, Sliding Time Overlapping Windows (h) 0.5. Data were processed with Triton - Soundscape Metrics Remora (Github commit '44f0f20'; Feb 9, 2020) and Matlab (2016b and newer; statistics toolbox).
2024-07-15T01:37:26Z (local files)
    String id "";
    String infoUrl "";
    String institution "NOAA";
    String instrument "SoundTrap ST500";
    String keywords "acoustic attenuation/transmission, acoustics, ambient noise, aquatic ecosystems, cetacean, environmental, fish, frequency, intensity, marine environment monitoring, marine habitat, national centers for environmental information, Navy, NOAA, ocean acoustics, oceans, office of national marine sanctuaries, passive acoustic recorder, pressure, sound_intensity_level_in_water, soundscapes";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "The data may be used and redistributed for free but are 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 project "NOAA-Navy Sanctuary Soundscape Monitoring Project";
    String publisher_email "";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "";
    String sourceUrl "(local files)";
    String standard_name_vocabulary "CF Standard Name Table v55";
    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 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 National Centers for Environmental Information.";
    String title "NOAA-Navy Sanctuary Soundscape Monitoring Project, Vessel Detection Events, Florida Keys, SanctSound_FK02_04_ships";


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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