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Dataset Title:  Averages of EPSONDE Microstructure Profiles from the Deep Site, R/V Seward
Johnson cruise SJ9508 in the Gulf of Maine and Georges Bank in 1995 as part of
the U.S. GLOBEC program (GB project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2428)
Range: longitude = -67.54 to -67.54°E, latitude = 40.86 to 40.86°N
Information:  Summary ? | License ? | 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 {
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "cruise identification";
    String long_name "Cruiseid";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 40.86, 40.86;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, negative = South";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -67.54, -67.54;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, negative = West";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "degrees_east";
  }
  profile {
    Byte _FillValue 127;
    Byte actual_range 21, 61;
    String bcodmo_name "unknown";
    String description "consecutively numbered EPSONDE profile";
    String long_name "Profile";
  }
  yrday_gmt {
    Float64 _FillValue NaN;
    Float64 actual_range 162.15611, 166.40512;
    String bcodmo_name "yrday_gmt";
    String description "year day, Julian calender";
    String long_name "Yrday Gmt";
    String units "decimal day, GMT";
  }
  press {
    Float64 _FillValue NaN;
    Float64 actual_range 10.0, 76.0;
    String bcodmo_name "pressure";
    String description "depth of sample, reported as pressure";
    String long_name "Press";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibars";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range 6.552, 10.609;
    String bcodmo_name "temperature";
    String description "temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees C";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 32.479, 32.688;
    String bcodmo_name "sal";
    String description "salinity";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  sigma_t {
    Float32 _FillValue NaN;
    Float32 actual_range 24.909, 25.635;
    String bcodmo_name "sigma-t";
    String description "density";
    String long_name "Sigma T";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTEQST/";
    String units "kilograms/meter3";
  }
  eps {
    Float32 _FillValue NaN;
    Float32 actual_range 8.0e-10, 3.125e-6;
    String bcodmo_name "eps";
    String description "epsilon, turbulent kinetic energy dissipation";
    String long_name "Eps";
    String units "watts/kilogram";
  }
  chi_t {
    Float32 _FillValue NaN;
    Float32 actual_range 1.157e-9, 1.143e-4;
    String bcodmo_name "chi_t";
    String description "chi_theta, temperature variance dissipation";
    String long_name "Chi T";
    String units "degrees C2/second";
  }
  k_t {
    Float32 _FillValue NaN;
    Float32 actual_range 8.36e-8, 0.09134;
    String bcodmo_name "k_t";
    String description "K_t, vertical diffusivity for heat";
    String long_name "K T";
    String units "meters2/second";
  }
  k_rho {
    Float32 _FillValue NaN;
    Float32 actual_range 5.436e-6, 0.01568;
    String bcodmo_name "k_rho";
    String description "K_rho, vertical diffusivity for density";
    String long_name "k rho";
    String units "meters 2/second";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"EPSONDE microstructure profile is the average of 10 deployments of the EPSONDE
instrument. One microstructure profile per profile number. During Seward
Johnson cruise SJ9508, 20 deployments were made during each sampling event
resulting in 2 microstructure profiles for each profile number.";
    String awards_0_award_nid "54610";
    String awards_0_award_number "unknown GB NSF";
    String awards_0_funder_name "National Science Foundation";
    String awards_0_funding_acronym "NSF";
    String awards_0_funding_source_nid "350";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String awards_1_award_nid "54626";
    String awards_1_award_number "unknown GB NOAA";
    String awards_1_funder_name "National Oceanic and Atmospheric Administration";
    String awards_1_funding_acronym "NOAA";
    String awards_1_funding_source_nid "352";
    String cdm_data_type "Other";
    String Conventions "COARDS, CF-1.6, ACDD-1.3";
    String creator_email "info@bco-dmo.org";
    String creator_name "BCO-DMO";
    String creator_type "institution";
    String creator_url "https://www.bco-dmo.org/";
    String data_source "extract_data_as_tsv version 2.3  19 Dec 2019";
    String date_created "2009-11-25T13:47:59Z";
    String date_modified "2019-10-30T20:47:23Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2428.1";
    Float64 Easternmost_Easting -67.54;
    Float64 geospatial_lat_max 40.86;
    Float64 geospatial_lat_min 40.86;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -67.54;
    Float64 geospatial_lon_min -67.54;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-07-05T13:23:31Z (local files)
2020-07-05T13:23:31Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2428.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2428";
    String institution "BCO-DMO";
    String instruments_0_acronym "EPSONDE";
    String instruments_0_dataset_instrument_description "An EPSONDE microstructure profile is the average of 10 deployments of the EPSONDE instrument. One microstructure profile per profile number. During Seward Johnson cruise SJ9508, 20 deployments were made during each sampling event resulting in 2 microstructure profiles for each profile number.";
    String instruments_0_dataset_instrument_nid "4129";
    String instruments_0_description "An EPSONDE is a tethered free-fall profiling system used to obtain temperature microstructure and velocity turbulence data in the water column. The EPSONDE profiler carries a variety of slow and fast sensors for measuring temperature microstructure, velocity microstructure, conductivity and depth. These data yield turbulent kinetic energy dissipation rates and temperature variance dissipation rates as well as derived quantities such as turbulent diffusivity.";
    String instruments_0_instrument_name "EPSONDE";
    String instruments_0_instrument_nid "425";
    String instruments_0_supplied_name "EPSONDE";
    String keywords "altimetry, bco, bco-dmo, biological, chemical, chi, chi_t, cruiseid, data, dataset, dmo, eps, erddap, k_rho, k_t, laboratory, latitude, longitude, management, oceanography, office, preliminary, press, profile, rho, sal, satellite, sigma, sigma_t, temperature, yrday, yrday_gmt";
    String license "https://www.bco-dmo.org/dataset/2428/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2428";
    Float64 Northernmost_Northing 40.86;
    String param_mapping "{'2428': {'lat': 'master - latitude', 'press': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2428/parameters";
    String people_0_affiliation "University of Rhode Island";
    String people_0_affiliation_acronym "URI-GSO";
    String people_0_person_name "Dave Hebert";
    String people_0_person_nid "50409";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Woods Hole Oceanographic Institution";
    String people_1_affiliation_acronym "WHOI BCO-DMO";
    String people_1_person_name "Ms Dicky Allison";
    String people_1_person_nid "50382";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "GB";
    String projects_0_acronym "GB";
    String projects_0_description 
"The U.S. GLOBEC Georges Bank Program is a large multi- disciplinary multi-year oceanographic effort. The proximate goal is to understand the population dynamics of key species on the Bank - Cod, Haddock, and two species of zooplankton (Calanus finmarchicus and Pseudocalanus) - in terms of their coupling to the physical environment and in terms of their predators and prey. The ultimate goal is to be able to predict changes in the distribution and abundance of these species as a result of changes in their physical and biotic environment as well as to anticipate how their populations might respond to climate change.
The effort is substantial, requiring broad-scale surveys of the entire Bank, and process studies which focus both on the links between the target species and their physical environment, and the determination of fundamental aspects of these species' life history (birth rates, growth rates, death rates, etc).
Equally important are the modelling efforts that are ongoing which seek to provide realistic predictions of the flow field and which utilize the life history information to produce an integrated view of the dynamics of the populations.
The U.S. GLOBEC Georges Bank Executive Committee (EXCO) provides program leadership and effective communication with the funding agencies.";
    String projects_0_geolocation "Georges Bank, Gulf of Maine, Northwest Atlantic Ocean";
    String projects_0_name "U.S. GLOBEC Georges Bank";
    String projects_0_project_nid "2037";
    String projects_0_project_website "http://globec.whoi.edu/globec_program.html";
    String projects_0_start_date "1991-01";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 40.86;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "cruiseid,latitude,longitude";
    String summary "Averages of EPSONDE Microstructure Profiles from the Deep Site, R/V Seward Johnson cruise SJ9508 in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program.";
    String title "Averages of EPSONDE Microstructure Profiles from the Deep Site, R/V Seward Johnson cruise SJ9508 in the Gulf of Maine and Georges Bank in 1995 as part of the U.S. GLOBEC program (GB project)";
    String version "1";
    Float64 Westernmost_Easting -67.54;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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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