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Dataset Title:  [CTD_fv] - CTD data from the Gulf of Maine in 1998 from three cruises on the R/
V Susan and Caitlyn - SC9801, SC9802, and SC9803 - in the Gulf of Maine and
Georges Bank as part of the U.S. GLOBEC program (GB project) (U.S. GLOBEC
Georges Bank)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2419)
Range: longitude = -69.7167 to -69.5615°E, latitude = 42.6162 to 43.6182°N
Information:  Summary ? | License ? | FGDC | 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 "unknown";
    String description "cruise identification, i.e. SC9801";
    String long_name "Cruiseid";
  }
  si {
    String bcodmo_name "unknown";
    String description "scientific investigator's name";
    String long_name "Si";
  }
  station {
    String bcodmo_name "station";
    String description "station number";
    String long_name "Station";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 42.6162, 43.6182;
    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 -69.7167, -69.5615;
    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";
  }
  time_gmt {
    String bcodmo_name "time_gmt";
    String description "time, at bottom of cast";
    String long_name "Time Gmt";
    String units "HHmm, GMT";
  }
  day_gmt {
    String bcodmo_name "day_gmt";
    String description "day of month";
    String long_name "Day Gmt";
    String units "GMT";
  }
  month_gmt {
    String bcodmo_name "month_gmt";
    String description "month of year";
    String long_name "Month Gmt";
    String units "GMT";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1998, 1998;
    String bcodmo_name "year";
    String description "year";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "GMT";
  }
  depth_w {
    Float32 _FillValue NaN;
    Float32 actual_range 225.0, 296.0;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of water";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  nbin {
    Int16 _FillValue 32767;
    Int16 actual_range 220, 296;
    String bcodmo_name "nbin";
    String description "number of data cycles per press/bin average";
    String long_name "Nbin";
  }
  press {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 295.0;
    String bcodmo_name "pressure";
    String description "depth of sample 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 3.706, 11.397;
    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 centigrade";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 31.279, 34.072;
    String bcodmo_name "sal";
    String description "salinitiy";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  sigma_0 {
    Float32 _FillValue NaN;
    Float32 actual_range 23.8223, 26.6348;
    String bcodmo_name "sigma_0";
    String description "sigma-theta, potential density";
    String long_name "Sigma 0";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
    String units "kilograms/meter³";
  }
  depth_ {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 292.46;
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "sample depth";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String standard_name "depth";
    String units "decimal meters";
  }
  potemp {
    Float32 _FillValue NaN;
    Float32 actual_range 3.705, 11.397;
    String bcodmo_name "potemp";
    String description "potential temperature";
    String long_name "Potemp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/POTMCV01/";
    String units "degrees centigrade";
  }
  cond {
    Float32 _FillValue NaN;
    Float32 actual_range 2.951, 3.565;
    String bcodmo_name "conductivity";
    String description "conductivity";
    String long_name "Cond";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P02/current/CNDC/";
    String units "siemens/meter";
  }
  light_trans {
    Float32 _FillValue NaN;
    Float32 actual_range 53.0, 87.2;
    String bcodmo_name "unknown";
    String description "light transmission, using a transmissometer";
    String long_name "Light Trans";
    String units "per cent";
  }
  fluor {
    Float32 _FillValue NaN;
    Float32 actual_range -0.2396, 19.4;
    String bcodmo_name "fluorescence";
    String description "fluorescence, chlorophyll conc.";
    String long_name "Fluor";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
    String units "micrograms/liter";
  }
  par_scalar {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02025, 562.2;
    String bcodmo_name "par_scalar";
    String description "photosynthetically active radiation, scalar (400-700nm)";
    String long_name "Par Scalar";
    String units "microEinsteins/second/meter²";
  }
  o2 {
    Float32 _FillValue NaN;
    Float32 actual_range 2.34, 5.04;
    String bcodmo_name "dissolved Oxygen";
    String description "dissolved oxygen";
    String long_name "O2";
    String units "milliliters/liter";
  }
  bvfq {
    Float32 _FillValue NaN;
    Float32 actual_range -354.43, 196.72;
    String bcodmo_name "bvfq";
    String description "Brunt-Vaisaila Frequency (N-squared)";
    String long_name "BVFQ";
    String units "1/second²";
  }
  dynh_0 {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 0.6172;
    String bcodmo_name "dynh_0";
    String description "dynamic height, ref. to surface";
    String long_name "DYNH 0";
    String units "meters";
  }
  sound_vel {
    Float32 _FillValue NaN;
    Float32 actual_range 1461.13, 1490.31;
    String bcodmo_name "sound_vel";
    String long_name "Sound Vel";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"The UNH SeaBird SBE-25 SeaLogger measures:
 
\\u00a0
 
  * Temperature (degrees C) with a SeaBird SBE-3F.
 
  * Conductivity (Siemens/m) with a SeaBird SBE-4C.
 
  * Pressure (decibars) with a SBE 29 strain gage sensor.
 
  * Percent light transmission with a Wet Labs CST-126R transmissometer across a 25 cm distance at the red light wavelength 660 nm. Data are presented as a percentage relative to pure water.
 
  * Chlorophyll concentration in micrograms/liter with a Wet Labs WETStar Fluorometer model 9607003.
 
  * PAR (photosynthetically active radiation) with a Biospherical QPS-200PD which observes an upper hemispherical total irradiance in quanta/sq-cm/sec.
 
  * Dissolved oxygen with a SBE-23Y (Yellow Springs Instrument) in milliliters/liter.
 
During a cast, sensors are flushed with a SBE-5T pump at approximately 25
ml/s. The system samples and stores all data at 8 Hz (8 samples/ second).
Profiling rates should be 20 meters/minute for an average of 24 samples/1 m
pressure level. Normally only the downcasts are analyzed (unless a problem is
noted). Sensors are factory calibrated annually.";
    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 comment 
"CF0298 
 Rework of SC9801, now called SC0298.  Add dynamic height data 6/5/1998";
    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 "2009-11-25T12:58:57Z";
    String date_modified "2019-10-28T17:15:02Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2419.1";
    Float64 Easternmost_Easting -69.5615;
    Float64 geospatial_lat_max 43.6182;
    Float64 geospatial_lat_min 42.6162;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -69.5615;
    Float64 geospatial_lon_min -69.7167;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-10-13T22:37:49Z (local files)
2024-10-13T22:37:49Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2419.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2419";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD SBE 25";
    String instruments_0_dataset_instrument_description "The UNH SeaBird SBE-25 SeaLogger measures - Temperature (degrees C) with a SeaBird SBE-3F. Conductivity (Siemens/m) with a SeaBird SBE-4C. Pressure (decibars) with a SBE 29 strain gage sensor. Percent light transmission with a Wet Labs CST-126R transmissometer across a 25 cm distance at the red light wavelength 660 nm. Data are presented as a percentage relative to pure water. Chlorophyll concentration in micrograms/liter with a Wet Labs WETStar Fluorometer model 9607003. PAR (photosynthetically active radiation) with a Biospherical QPS-200PD which observes an upper hemispherical total irradiance in quanta/sq-cm/sec. Dissolved oxygen with a SBE-23Y (Yellow Springs Instrument) in milliliters/liter.During a cast, sensors are flushed with a SBE-5T pump at approximately 25 ml/s. The system samples and stores all data at 8 Hz (8 samples/ second). Profiling rates should be 20 meters/minute for an average of 24 samples/1 m pressure level. Normally only the downcasts are analyzed (unless a problem is noted). Sensors are factory calibrated annually.";
    String instruments_0_dataset_instrument_nid "4124";
    String instruments_0_description "The Sea-Bird SBE 25 SEALOGGER CTD is battery powered and is typically used to record data in memory, eliminating the need for a large vessel, electrical sea cable, and on-board computer. All SBE 25s can also operate in real-time, transmitting data via an opto-isolated RS-232 serial port. Temperature and conductivity are measured by the SBE 3F Temperature sensor and SBE 4 Conductivity sensor (same as those used on the premium SBE 9plus CTD). The SBE 25 also includes the SBE 5P (plastic) or 5T (titanium) Submersible Pump and TC Duct. The pump-controlled, TC-ducted flow configuration significantly reduces salinity spiking caused by ship heave, and in calm waters allows slower descent rates for improved resolution of water column features. Pressure is measured by the modular SBE 29 Temperature Compensated Strain-Gauge Pressure sensor (available in eight depth ranges to suit the operating depth requirement). The SBE 25's modular design makes it easy to configure in the field for a wide range of auxiliary sensors, including optional dissolved oxygen (SBE 43), pH (SBE 18 or SBE 27), fluorescence, transmissivity, PAR, and optical backscatter sensors. More information from Sea-Bird Electronics: http:www.seabird.com.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0040/";
    String instruments_0_instrument_name "CTD Sea-Bird 25";
    String instruments_0_instrument_nid "421";
    String instruments_0_supplied_name "CTD Seabird 25";
    String keywords "altimetry, available, bco, bco-dmo, biological, bvfq, chemical, cond, cruiseid, data, dataset, day, day_gmt, depth, depth_w, dmo, dynh, dynh_0, erddap, fluor, laboratory, latitude, light, light_trans, longitude, management, month, month_gmt, nbin, O2, oceanography, office, oxygen, par, par_scalar, photosynthetically, potemp, preliminary, press, radiation, sal, satellite, scalar, sigma, sigma_0, sound, sound_vel, station, temperature, time, time_gmt, trans, vel, year";
    String license "https://www.bco-dmo.org/dataset/2419/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2419";
    Float64 Northernmost_Northing 43.6182;
    String param_mapping "{'2419': {'lat': 'master - latitude', 'press': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2419/parameters";
    String people_0_affiliation "University of New Hampshire";
    String people_0_affiliation_acronym "UNH/OPAL";
    String people_0_person_name "Frank Bub";
    String people_0_person_nid "50492";
    String people_0_role "Co-Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of New Hampshire";
    String people_1_affiliation_acronym "UNH/OPAL";
    String people_1_person_name "Ann Bucklin";
    String people_1_person_nid "50389";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Northeast Fisheries Science Center - Woods Hole";
    String people_2_affiliation_acronym "NOAA NEFSC";
    String people_2_person_name "James P. Manning";
    String people_2_person_nid "50427";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Ms Dicky Allison";
    String people_3_person_nid "50382";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_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 42.6162;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "si,year";
    String summary "CTD data from the Gulf of Maine in 1998 from three cruises on the R/V Susan and Caitlyn - SC9801, SC9802, and SC9803 - in the Gulf of Maine and Georges Bank as part of the U.S. GLOBEC program.";
    String title "[CTD_fv] - CTD data from the Gulf of Maine in 1998 from three cruises on the R/V Susan and Caitlyn - SC9801, SC9802, and SC9803 - in the Gulf of Maine and Georges Bank as part of the U.S. GLOBEC program (GB project) (U.S. GLOBEC Georges Bank)";
    String version "1";
    Float64 Westernmost_Easting -69.7167;
    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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