Dataset Title:
SPL data from a Naxys hydrophone at OBSEA (30min average)
Institution:
Universitat Politècnica de Catalunya
(Dataset ID: OBSEA_NAXYS_SPL_hydrophone_30min)
Range: time = 2020-04-06T21:30:00Z to 2023-12-06T01:00:00Z
Information:
Summary
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Time range:
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second(s)
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Well, you can do anything you want with your graphs, of course.
But some things you might not have considered are:
Attributes {
s {
time {
String _CoordinateAxisType "Time";
Float64 actual_range 1.5862086e+9, 1.7018244e+9;
String axis "T";
String ioos_category "Time";
String long_name "Date/Time";
String source_name "Date/Time";
String standard_name "time";
String time_origin "01-JAN-1970 00:00:00";
String time_precision "1970-01-01T00:00:00Z";
String units "seconds since 1970-01-01T00:00:00Z";
}
SPL_2000 {
Float64 actual_range 71.6607, 120.9022;
String long_name "sound_pressure_level_2000Hz_10s";
String sdn_parameter "https://vocab.nerc.ac.uk/collection/P01/current/AMBNSP34";
String sdn_parameter_urn "SDN:P01::AMBNSP34";
String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UDBL";
String sdn_units_urn "SDN:P06::UDBL";
String standard_name "sound_pressure_level_2000hz_10s";
String units "dB re 1 uPa";
}
SPL_2000_qc {
Int32 actual_range 1, 1;
String long_name "SPL_2000 quality control flag";
}
SPL_125 {
Float64 actual_range 69.77, 127.68;
String long_name "sound_pressure_level_63Hz_10s";
String sdn_parameter "https://vocab.nerc.ac.uk/collection/P01/current/AMBNSP22";
String sdn_parameter_urn "SDN:P01::AMBNSP22";
String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UDBL";
String sdn_units_urn "SDN:P06::UDBL";
String standard_name "sound_pressure_level_63hz_10s";
String units "dB re 1 uPa";
}
SPL_125_qc {
Int32 actual_range 1, 1;
String long_name "SPL_125 quality control flag";
}
SPL_63 {
Float64 actual_range 69.72, 120.61;
String long_name "sound_pressure_level_63Hz_10s";
String sdn_parameter "https://vocab.nerc.ac.uk/collection/P01/current/AMBNSP19";
String sdn_parameter_urn "SDN:P01::AMBNSP19";
String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UDBL";
String sdn_units_urn "SDN:P06::UDBL";
String standard_name "sound_pressure_level_63hz_10s";
String units "dB re 1 uPa";
}
SPL_63_qc {
Int32 actual_range 1, 1;
String long_name "SPL_63 quality control flag";
}
SPL_all {
Float64 actual_range 95.3082, 144.8206;
String long_name "sound_pressure_level_full_bw_10s";
String sdn_parameter "https://vocab.nerc.ac.uk/collection/P01/current/AMBNSPL1";
String sdn_parameter_urn "SDN:P01::AMBNSPL1";
String sdn_units "https://vocab.nerc.ac.uk/collection/P06/current/UDBL";
String sdn_units_urn "SDN:P06::UDBL";
String standard_name "sound_pressure_level_full_bw_10s";
String units "dB re 1 uPa";
}
SPL_all_qc {
Int32 actual_range 1, 1;
String long_name "SPL_all quality control flag";
}
}
NC_GLOBAL {
String area "NW Mediterranean Sea";
String author "Enoc Martinez";
String average_period "30min";
String cdm_data_type "Other";
String contact "enoc.martinez@upc.edu";
String Conventions "COARDS, CF-1.6, ACDD-1.3, NCCSV-1.1";
String geospatial_lat_max "41.18212";
String geospatial_lat_min "41.18212";
String geospatial_lon_max "1.75257";
String geospatial_lon_min "1.75257";
String history
"2023-12-10T14:11:14Z (local files)
2023-12-10T14:11:14Z https://erddap.emso.eu/tabledap/OBSEA_NAXYS_SPL_hydrophone_30min.das";
String infoUrl "https://www.obsea.es";
String institution "Universitat Politècnica de Catalunya";
String institution_edmo_code "2150";
String institution_references "https://www.obsea.es";
String instrument_model "NAXYS Ethernet Hydrophone 02345";
String license "Creative Commons Attribution 4.0 International (CC-BY-4.0)";
String pi_name "Joaquín del Río";
String platform_code "OBSEA";
String processing_level
"data acquired from sensor, SPL levels calculated in real-time, quality control
procedure applied following QARTOD guidelines, data averaged in periods of 30min";
String quality_control_flags
"1:good data, 2:QC not applied, 3:suspicious data, 4:bad data, 9:missing
data";
String quality_control_methods "QARTOD, https://ioos.noaa.gov/project/qartod";
String sdn_instrument_type "SDN:L05::369";
String sdn_instrument_urn "SDN:L22::TOOL1593";
String sensor_depth "20";
String site_code "OBSEA";
String sourceUrl "(local files)";
String standard_name_vocabulary "CF Standard Name Table v55";
String summary
"Sound Pressure Level (ambient noise) from hydrophone data collected at OBSEA by a Naxys
Ethernet 02345 Hydrophone and processed in real-time using the SWE Bridge software, 30min average";
String testOutOfDate "now-1day";
String time_coverage_end "2023-12-06T01:00:00Z";
String time_coverage_start "2020-04-06T21:30:00Z";
String title "SPL data from a Naxys hydrophone at OBSEA (30min average)";
}
}
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
Data Access Protocol (DAP) and its
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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.
(easy) You can get data by using the dataset's Data Access Form
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(not hard) You can bypass the forms and get the data or make a graph or map
by generating the URL by hand or with a computer program or script.
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For example,
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