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Dataset Title:  CTD data from the Gulf of Maine and Georges Bank on the R/V Columbus Iselin
and R/V Endeavor, 1994-1995, as part of the US GLOBEC Georges Bank Process Study
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2303)
Range: longitude = -69.2175 to -65.6988°E, latitude = 40.2937 to 42.363°N
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 {
 s {
  cruiseid {
    String description "cruise identification";
    String ioos_category "Unknown";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1994, 1995;
    String description "starting year, GMT";
    String ioos_category "Time";
    String long_name "Year";
  }
  station {
    String description "pre-assigned station number";
    String ioos_category "Identifier";
    String long_name "Station";
  }
  month_gmt {
    Byte _FillValue 127;
    Byte actual_range 1, 7;
    String description "starting month 1-12, GMT";
    String ioos_category "Time";
    String long_name "Month Gmt";
  }
  day_gmt {
    String description "starting day 01-31, GMT";
    String ioos_category "Time";
    String long_name "Day Gmt";
  }
  time_start_gmt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1, 2356.4;
    String description "starting time for the cast, GMT";
    String ioos_category "Time";
    String long_name "Time Start Gmt";
    String units "HHmm.m";
  }
  time_end_gmt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.1, 2352.0;
    String description "ending time for the cast, GMT";
    String ioos_category "Time";
    String long_name "Time End Gmt";
    String units "HHmm.m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 40.2937, 42.363;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "starting latitude, negative = south";
    String ioos_category "Location";
    String long_name "Latitude";
    String source_name "lat_start";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -69.2175, -65.6988;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "starting longitude, negative = west";
    String ioos_category "Location";
    String long_name "Longitude";
    String source_name "lon_start";
    String standard_name "longitude";
    String units "degrees_east";
  }
  lat_end {
    Float32 _FillValue NaN;
    Float32 actual_range 40.2845, 42.3658;
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "ending latitude";
    String ioos_category "Location";
    String long_name "Latitude";
    String standard_name "latitude";
    String units "decimal degrees";
  }
  lon_end {
    Float32 _FillValue NaN;
    Float32 actual_range -69.2195, -65.6937;
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "ending longitude";
    String ioos_category "Location";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  depth_w {
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "water depth";
    String ioos_category "Location";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  press_min {
    Float32 _FillValue NaN;
    Float32 actual_range 1.0, 13.0;
    String description "minimum pressure, range within cast";
    String ioos_category "Unknown";
    String long_name "Press Min";
    String units "decibars";
  }
  press_max {
    Float32 _FillValue NaN;
    Float32 actual_range 11.92, 6613.97;
    String description "maximum pressure";
    String ioos_category "Unknown";
    String long_name "Press Max";
    String units "decibars";
  }
  temp_min {
    Float32 _FillValue NaN;
    Float32 actual_range 0.15623, 15.71939;
    String description "minimum temperature, range within cast";
    String ioos_category "Unknown";
    String long_name "Temp Min";
    String units "degrees C.";
  }
  temp_max {
    Float32 _FillValue NaN;
    Float32 actual_range 4.38246, 22.74698;
    String description "maximum temperature";
    String ioos_category "Unknown";
    String long_name "Temp Max";
    String units "degrees C.";
  }
  sal_min {
    Float32 _FillValue NaN;
    Float32 actual_range 0.18377, 35.75788;
    String description "minimum salinity, range within cast, PSS";
    String ioos_category "Unknown";
    String long_name "Sal Min";
    String units "dimensionless";
  }
  sal_max {
    Float32 _FillValue NaN;
    Float32 actual_range 32.14641, 40.68399;
    String description "maximum salinity, PSS";
    String ioos_category "Unknown";
    String long_name "Sal Max";
    String units "dimensionless";
  }
  o2_min {
    Float32 _FillValue NaN;
    Float32 actual_range -5.83646, 27.82387;
    String description "minimum dissolved oxygen, range within cast";
    String ioos_category "Dissolved O2";
    String long_name "O2 Min";
    String units "milliliter per liter";
  }
  o2_max {
    Float32 _FillValue NaN;
    Float32 actual_range 5.0e-4, 28.47926;
    String description "maximum dissolved oxygen";
    String ioos_category "Dissolved O2";
    String long_name "O2 Max";
    String units "milliliter per liter";
  }
  press {
    Float64 _FillValue NaN;
    Float64 actual_range 1.0, 2128.0;
    String description "pressure at observation/sample (equates to water depth)";
    String ioos_category "Unknown";
    String long_name "Press";
    String units "decibars";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range -9.0, 22.747;
    String description "water temperature";
    String ioos_category "Temperature";
    String long_name "Temperature";
    String units "degrees C";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range -9.0, 36.4748;
    String description "salinity, as calculated from CTD conductivity and temperature, PPS";
    String ioos_category "Unknown";
    String long_name "Sal";
    String units "dimensionless";
  }
  o2 {
    Float32 _FillValue NaN;
    Float32 actual_range -9.0, 7.985;
    String description "dissolved oxygen";
    String ioos_category "Dissolved O2";
    String long_name "O2";
    Float32 missing_value -9999.0;
    String units "milliliter per liter";
  }
  flvolt {
    Float32 _FillValue NaN;
    Float32 actual_range -9.0, 5.01;
    String description "relative fluorescence";
    String ioos_category "Unknown";
    String long_name "Flvolt";
    String units "volts";
  }
  light_tran_v {
    Float32 _FillValue NaN;
    Float32 actual_range -9.9, 4.96;
    String description "light transmission as volts";
    String ioos_category "Unknown";
    String long_name "Light Tran V";
    String units "volts";
  }
  numb_obs {
    Int32 _FillValue 2147483647;
    Int32 actual_range 0, 101604;
    String description "number of observations";
    String ioos_category "Unknown";
    String long_name "Numb Obs";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description "Process Study CTD data, Gulf of Maine/Georges Bank.";
    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 "Dr 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 
"Displayed by /data11/rlimeburner/scripts/ctd_level1.pl, V1.04/02Jul2003 
   For filetype=FQC, directory=/data11/rlimeburner/ctd 
   Pattern=CI07 
 Inst. # = IM960560; CAL Extn = C00 
  Averover = 1DBar; ScanRate = 25.000Hz 
 Comments from document file: 
 JANUARY 29, 1997 
  
 Chief Scientist:  Richard Limeburner 
  
 CHARLES ISELIN CRUISE 9407, CTD DATA QUALITY REVIEW 
  
 GENERAL COMMENT:  THIS DATA SET IS OF POOR QUALITY, USE \"CAUTION\". 
  
 1..CAST SAMPLING INFORMATION EDITED TO BE CONSISTENT WITH THE EVENT LOG. 
    DATES AND TIMES ARE REPORTED AS GMT.   
 2..CASTS 96 AND 98 CONTAIN ONLY A SURFACE DATA CYCLE.  FILES DELETED. 
 3..OXYGEN BAD ALL CASTS.  REPLACED WITH -9.. 
 4..SALINITY IS NOISY.  SOME CASTS WORSE THEN OTHERS.  NO ATTEMPT TO CLEAN UP. 
    USE WITH CAUTION. 
 5..LIGHT TRANSMISSION.  CASTS 68 - 99 SHOW A ONE VOLT OFFSET FROM CASTS 1-68. 
    CALIBARATION PROBLEM?  USE WITH CAUTION.  NO ATTEMPT TO CLEAN UP SPIKES 
 6..FLUORESCENCE.  CASTS 68 - 99 SHOW A TWO VOLT OFFSET FROM CASTS 1 - 68. 
    CALIBRATION PROBLEM?  USE WITH CAUTION.  NO ATTEMPT TO CLEAN UP SPIKES 
 Displayed by /data/rlimeburner/scripts/ctd_level2.pl, v1.01/28July2010 
   File=/data11/rlimeburner/ctd/CI07D001.FQC";
    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 2.2d  13 Jun 2019";
    String date_created "2010-07-23T20:13:34Z";
    String date_modified "2019-01-30T21:42:22Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.2303.1";
    Float64 Easternmost_Easting -65.6988;
    Float64 geospatial_lat_max 42.363;
    Float64 geospatial_lat_min 40.2937;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -65.6988;
    Float64 geospatial_lon_min -69.2175;
    String geospatial_lon_units "degrees_east";
    String history 
"2019-08-24T13:05:43Z (local files)
2019-08-24T13:05:43Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2303.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2303";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD";
    String instruments_0_dataset_instrument_description 
"CTD measurements taken, CTD unit unidentified.
# Inst. # = IM960560; CAL Extn = C00
#  Averover = 1DBar; ScanRate = 25.000Hz";
    String instruments_0_dataset_instrument_nid "4101";
    String instruments_0_description "The Conductivity, Temperature, Depth (CTD) unit is an integrated instrument package designed to measure the conductivity, temperature, and pressure (depth) of the water column.  The instrument is lowered via cable through the water column and permits scientists observe the physical properties in real time via a conducting cable connecting the CTD to a deck unit and computer on the ship. The CTD is often configured with additional optional sensors including fluorometers, transmissometers and/or  radiometers.  It is often combined with a Rosette of water sampling bottles (e.g. Niskin, GO-FLO) for collecting discrete water samples during the cast.  This instrument designation is used when specific make and model are not known.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_0_instrument_name "CTD profiler";
    String instruments_0_instrument_nid "417";
    String instruments_0_supplied_name "Conductivity, Temperature, Depth";
    String instruments_1_acronym "CTD NBIS MK3";
    String instruments_1_dataset_instrument_description "Mark III CTD";
    String instruments_1_dataset_instrument_nid "4165";
    String instruments_1_description "The Neil Brown Instrument Systems Mark III Conductivity, Temperature, Depth (CTD) instrument is an integral unit containing pressure, temperature and conductivity sensors with an optional dissolved oxygen sensor in a pressure-hardened casing.  Developed in the 1970s, the Neil Brown CTD unit was able to digitize conductivity, temperature and pressure measurements at sufficient speeds to permit oceanographers to study 10 cm features at winch lowering speeds of 30 meters per minute. The most widely used variant in the 1980s and 1990s was the MK3B.  The MK3C fitted with an improved pressure sensor  to reduce hysteresis was developed to meet the requirements of the WOCE project.  The instrument is no longer in production, but is supported (repair and calibration) by General Oceanics.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0002/";
    String instruments_1_instrument_name "CTD Neil Brown Mark III";
    String instruments_1_instrument_nid "434";
    String instruments_1_supplied_name "MkIIICTD";
    String instruments_2_acronym "CTD NBIS MK3-TAPS";
    String instruments_2_dataset_instrument_description "Neil Brown CTD with TAPS";
    String instruments_2_dataset_instrument_nid "4166";
    String instruments_2_description "This is an integrated instrument package comprising a Neil Brown Instrument Systems Mark III Conductivity, Temperature, Depth (CTD) profiler unit with a Tracor Acoustic Profiling System (TAPS). (see TAPS entry for a description of that instrument)";
    String instruments_2_instrument_name "CTD Neil Brown Mark III plus TAPS";
    String instruments_2_instrument_nid "461";
    String instruments_2_supplied_name "Neil Brown CTD with TAPS";
    String keywords "altimetry, bco, bco-dmo, biological, chemical, cruiseid, data, dataset, day, day_gmt, depth, depth_w, dissolved, dissolved o2, dmo, end, erddap, flvolt, identifier, laboratory, lat_end, latitude, light, light_tran_v, lon_end, longitude, management, max, min, month, month_gmt, numb, numb_obs, O2, o2_max, o2_min, obs, observations, oceanography, office, oxygen, preliminary, press, press_max, press_min, sal, sal_max, sal_min, satellite, start, station, temp_max, temp_min, temperature, time, time_end_gmt, time_start_gmt, tran, v, year";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, 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 metadata_source "https://www.bco-dmo.org/api/dataset/2303";
    Float64 Northernmost_Northing 42.363;
    String param_mapping "{'2303': {'press': 'flag - depth', 'lon_start': 'flag - longitude', 'lat_start': 'flag - latitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2303/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Dr Richard Limeburner";
    String people_0_person_nid "50423";
    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 "U.S. GLOBEC Georges Bank";
    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 "Ms Dicky Allison";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 40.2937;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String summary "CTD data from the Gulf of Maine and Georges Bank on the R/V Columbus Iselin and R/V Endeavor, 1994-1995, as part of the US GLOBEC Georges Bank Process Study.";
    String title "CTD data from the Gulf of Maine and Georges Bank on the R/V Columbus Iselin and R/V Endeavor, 1994-1995, as part of the US GLOBEC Georges Bank Process Study";
    String version "1";
    Float64 Westernmost_Easting -69.2175;
    String xml_source "osprey2erddap.update_xml() v1.5-beta";
  }
}

 

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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