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Dataset Title:  NOAA-Navy Sanctuary Soundscape Monitoring Project, Killer Whale Sound
Production, Olympic Coast, SanctSound_OC02_05_killerwhale
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Institution:  NOAA   (Dataset ID: noaaSanctSound_OC02_05_killerwhale)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Dimensions ? Start ? Stride ? Stop ?  Size ?    Spacing ?
 start_time (UTC) ?      109    1 day 5h 12m 40s (uneven)
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Grid Variables (which always also download all of the dimension variables) 
 killerwhale_presence (boolean) ?
 killerwhale_echo_types (string) ?
 end_time (seconds since 1970-01-01T00:00:00Z) ?

File type: (more information)

(Documentation / Bypass this form) ?
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
  start_time {
    Float64 actual_range 1.623482449548e+9, 1.634839684946e+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";
  }
  killerwhale_presence {
    String cell_methods "time: sum (comment: presence (1) or absence (0) over time interval)";
    String comment "Presence of killer whale sound";
    String ioos_category "Statistics";
    String long_name "killer whale presence";
    String standard_name "killerwhale_presence";
    String units "boolean";
  }
  killerwhale_echo_types {
    String cell_methods "time: sum (comment: Killer whale eco type)";
    String comment "Echo types";
    String ioos_category "Statistics";
    String long_name "killer whale echo types";
    String standard_name "killerwhale_echo_types";
    String units "string";
  }
  end_time {
    Float64 actual_range 1.6234840086e+12, 1.634844696981e+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";
  }
  NC_GLOBAL {
    String abstract "This record represents killer whale sound production. Killer whale calls were detected by analysts and logged using Triton's Logger Remora. Calls were grouped into encounters, with encounters more than 30 min apart being logged as separate encounters. The following settings were used for manual scanning of long-term spectral averages: bandwidth 0-5000 Hz; 1 hour duration; and for zoomed-in scanning of spectrograms: plot length 30 s, FFT length 1000, 90% overlap. Killer whale encounters were further classified into ecotypes based on the presence of ecotype-specific call types in the encounter. Call types were identified in the spectrogram window, and all calls in an encounter were examined before an encounter was attributed to a particular ecotype. Resident ecotype call types were identified from the reference catalogue of Ford 1987, transient ecotype call types were identified from a reference catalogue based on recordings published by Deecke 2003, and offshore ecotype call types were identified from a digital catalogue (J Ford, unpubl. data) collected during field encounters with photo- or genetically identified offshore killer whales.These data were recorded at SanctSound Site OC02_05 between June 09, 2021 and October 27, 2021.";
    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. 2022. Killer Whale Sound Production at SanctSoundSite OC02_05, SanctSound Data Products. NOAA National Centers for Environmental Information. Accessed [date]. DOI: https://doi.org/http://doi.org/10.25921/c4vm-xk34";
    String comment "Data quality: Amplitude growth in electronic floor for frequencies above 6 kHz observed after Sep 15, 2021. Unexpected PSD change at ~ 2.5 kHz but no visible discontinuity in data.";
    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 "ncei.info@noaa.gov";
    String creator_name "NOAA NCEI";
    String creator_url "https://www.ncei.noaa.gov/";
    String date_created "2022-08-22";
    String date_issued "2022-08-22";
    String featureType "TimeSeries";
    String geospatial_bounds "POINT (48.49045 -124.0035)";
    String history 
"Killer whale calls were detected by analysts and logged using Triton's Logger Remora. Calls were grouped into encounters, with encounters more than 30 min apart being logged as separate encounters. The following settings were used for manual scanning of long-term spectral averages: bandwidth 0-5000 Hz; 1 hour duration; and for zoomed-in scanning of spectrograms: plot length 30 s, FFT length 1000, 90% overlap. Killer whale encounters were further classified into ecotypes based on the presence of ecotype-specific call types in the encounter. Call types were identified in the spectrogram window, and all calls in an encounter were examined before an encounter was attributed to a particular ecotype. Resident ecotype call types were identified from the reference catalogue of Ford 1987, transient ecotype call types were identified from a reference catalogue based on recordings published by Deecke 2003, and offshore ecotype call types were identified from a digital catalogue (J Ford, unpubl. data) collected during field encounters with photo- or genetically identified offshore killer whales. Data were processed with Triton - (1.93.20160524/Github version d81e5fa) and Matlab (2018a and newer; statistics toolbox).
2024-05-18T08:48:34Z (local files)
2024-05-18T08:48:34Z https://coastwatch.pfeg.noaa.gov/erddap/griddap/noaaSanctSound_OC02_05_killerwhale.das";
    String id "http://doi.org/10.25921/c4vm-xk34";
    String infoUrl "https://ncei.noaa.gov";
    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 "erd.data@noaa.gov";
    String publisher_name "NOAA NMFS SWFSC ERD";
    String publisher_type "institution";
    String publisher_url "https://www.pfeg.noaa.gov";
    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, Killer Whale Sound Production, Olympic Coast, SanctSound_OC02_05_killerwhale";
  }
}

 

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
https://coastwatch.pfeg.noaa.gov/erddap/griddap/datasetID.fileType{?query}
For example,
https://coastwatch.pfeg.noaa.gov/erddap/griddap/jplMURSST41.htmlTable?analysed_sst[(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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