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Dataset Title:  Broad-scale hydrography from CTDs deployed from 30 cruises on the R/V
Albatross IV, R/V Endeavor, and R/V Oceanus in the Gulf of Maine and Georges
Bank from 1995-1999 (GB project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2395)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 object ?      
   - +  ?
 object_year ?          1995    1999
 cruiseid ?          "AL9505"    "OC341"
 year ?          1995    1999
 ship ?          "Albatross"    "Oceanus"
 si ?      
   - +  ?
 eventno ?          "al9505.001"    "oc341.003"
 site ?      
   - +  ?
 comments ?          "Primary"    "seabirdCTD"
 cast ?          1    901
 station ?          1    85
 station_std ?          1    41
 month_local ?          "01"    "07"
 day_local ?          "01"    "30"
 time_local (decimal min.) ?          "0000.0"    "2354.0"
 depth_w (Depth, meters) ?          28    1714
 latitude (degrees_north) ?          40.285    42.343
  < slider >
 longitude (degrees_east) ?          -69.268    -65.647
  < slider >
 yrday_gmt (decimal) ?          8.4625    201.2167
 yrday_local (decimal) ?          8.2542    201.05
 press (decibars) ?          0.9    441.0
 temp (Temperature, deg. C ITS68) ?          1.36    23.27
 sal (PSU) ?          30.943    99.9999
 flvolt (volts) ?          0.0013    4.9361
 light_tran_v (volts) ?          2.0472    9.9999
 par_scalar_v (volts) ?          0.0    2.27
 numb_obs ?          0.0    4287.0
 
Server-side Functions ?
 distinct() ?
? ("Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.Hover here to see a list of options. Click on an option to select it.")

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  object {
    String bcodmo_name "unknown";
    String description "name of the data object";
    String long_name "Object";
  }
  object_year {
    Int16 _FillValue 32767;
    Int16 actual_range 1995, 1999;
    String bcodmo_name "unknown";
    String description "a duplicate year variable with a different name";
    String long_name "Object Year";
  }
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "originator's cruise identification";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1995, 1999;
    String bcodmo_name "year";
    String description "4-digit year (i.e. 1992)";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
  }
  ship {
    String bcodmo_name "ship";
    String description "ship name (i.e. Albatross)";
    String long_name "Ship";
  }
  si {
    String bcodmo_name "investigator";
    String description "name of scientist responsible for data";
    String long_name "Si";
  }
  eventno {
    String bcodmo_name "event";
    String description "event number assigned to a suite of sampling events";
    String long_name "Eventno";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
  }
  site {
    String bcodmo_name "brief_desc";
    String description "designated site (Broadscale)";
    String long_name "Site";
  }
  comments {
    String bcodmo_name "comment";
    String description "comments (free text)";
    String long_name "Comments";
  }
  cast {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 901;
    String bcodmo_name "cast";
    String description "CTD cast number";
    String long_name "Cast";
  }
  station {
    Byte _FillValue 127;
    Byte actual_range 1, 85;
    String bcodmo_name "station";
    String description "station number, not always consecutive";
    String long_name "Station";
  }
  station_std {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 41;
    String bcodmo_name "station_std";
    String description "standard station no., (Globec assigned)";
    String long_name "Station Std";
    Int16 missing_value 999;
  }
  month_local {
    String bcodmo_name "month_local";
    String description "month of year, local time (as 01-12)";
    String long_name "Month Local";
  }
  day_local {
    String bcodmo_name "day_local";
    String description "day of month, local time (as 01-31)";
    String long_name "Day Local";
  }
  time_local {
    String bcodmo_name "time_local";
    String description "time of day, local time";
    String long_name "Time Local";
    String units "decimal min.";
  }
  depth_w {
    Int16 _FillValue 32767;
    Int16 actual_range 28, 1714;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "water depth";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 40.285, 42.343;
    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 -69.268, -65.647;
    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";
  }
  yrday_gmt {
    Float32 _FillValue NaN;
    Float32 actual_range 8.4625, 201.2167;
    String bcodmo_name "yrday_gmt";
    String description "gmt yearday (Julian Calendar)";
    String long_name "Yrday Gmt";
    String units "decimal";
  }
  yrday_local {
    Float32 _FillValue NaN;
    Float32 actual_range 8.2542, 201.05;
    String bcodmo_name "yrday_local";
    String description "local yearday (Julian Calendar)";
    String long_name "Yrday Local";
    String units "decimal";
  }
  press {
    Float64 _FillValue NaN;
    Float64 actual_range 0.9, 441.0;
    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 1.36, 23.27;
    String bcodmo_name "temperature";
    String description "temperature, in 1996 NMFS CTD temps. switch to ITS90 scale";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "deg. C ITS68";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 30.943, 99.9999;
    String bcodmo_name "sal";
    String description "salinity (CTD)";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU";
  }
  flvolt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0013, 4.9361;
    String bcodmo_name "fluor voltage";
    String description "fluorescence (mk5ctd only)";
    String long_name "Flvolt";
    String units "volts";
  }
  light_tran_v {
    Float32 _FillValue NaN;
    Float32 actual_range 2.0472, 9.9999;
    String bcodmo_name "trans_v";
    String description "light transmission (mk5ctd only)";
    String long_name "Light Tran V";
    String units "volts";
  }
  par_scalar_v {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 2.27;
    String bcodmo_name "par_scalar_v";
    String description "photosynthetically available radiation, 400-700nm wave length, with scalar sensor response (PAR), reported in conjunction with a water depth";
    String long_name "Par Scalar V";
    String units "volts";
  }
  numb_obs {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 4287.0;
    String bcodmo_name "numb_obs";
    String description "number of observations per bin";
    String long_name "Numb Obs";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"* The Mark-5 profiler, has a higher sampling rate then the SeaBird SEACAT, was instrumented with an expanded suite of sensors and deployed almost exclusively at GLOBEC Standard stations.
 
  * SeaBird SEACAT profiler deployed with the bongo plankton net tow system at Standard and Intermediate stations. The upcast portion of the tow is the most reliable and that is what is reported here. These profiles do not contain the parameters: light transmission, fluorescence, and scalar par. The primary version, in most cases, is a composite of both the Mark-5 and
 
  * SEACAT CTD casts. These casts have been extracted from their respective cruise files and sorted by time. As a result, the reported cast and station numbers are frequently duplicated and random in order. When present, SeaBird profiles are identified with a one hundred series cast number to distinguish from a Mark-5 profile, however, this convention is inconsistent and does not always appear in all cruises (primary link only).";
    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 "2009-11-25T12:59:42Z";
    String date_modified "2020-02-27T18:54:36Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.2395.2";
    Float64 Easternmost_Easting -65.647;
    Float64 geospatial_lat_max 42.343;
    Float64 geospatial_lat_min 40.285;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -65.647;
    Float64 geospatial_lon_min -69.268;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-07-13T05:05:03Z (local files)
2020-07-13T05:05:03Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2395.html";
    String infoUrl "https://www.bco-dmo.org/dataset/2395";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD NBIS MK5";
    String instruments_0_dataset_instrument_description "Mark 5 CTD.";
    String instruments_0_dataset_instrument_nid "4110";
    String instruments_0_description "The Neil Brown Instrument Systems Mark 5 CTD is used to measure conductivity, temperature, and depth of sea water. The MK5 profiler has a higher sampling rate then the SeaBird SEACAT. (For the GLOBEC Georges Bank project the Mark 5 was instrumented with an expanded suite of sensors and deployed almost exclusively at GLOBEC Standard stations.)";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_0_instrument_name "CTD Neil Brown Mark 5";
    String instruments_0_instrument_nid "435";
    String instruments_0_supplied_name "Mark 5 CTD";
    String instruments_1_acronym "CTD Sea-Bird";
    String instruments_1_dataset_instrument_description "SeaBird SEACAT profiler deployed with the bongo plankton net tow system at Standard and Intermediate stations.";
    String instruments_1_dataset_instrument_nid "4111";
    String instruments_1_description "Conductivity, Temperature, Depth (CTD) sensor package from SeaBird Electronics, no specific unit identified. This instrument designation is used when specific make and model are not known. See also other SeaBird instruments listed under CTD. More information from Sea-Bird Electronics.";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/130/";
    String instruments_1_instrument_name "CTD Sea-Bird";
    String instruments_1_instrument_nid "447";
    String instruments_1_supplied_name "SeabirdCTD";
    String instruments_2_acronym "CTD SEACAT";
    String instruments_2_dataset_instrument_description "CTD measurements taken by Seabird Seacat CTD instrument package..The primary version, in most cases, is a composite of both the Mark-5 and SEACAT CTD casts. These casts have been extracted from their respective cruise files and sorted by time.";
    String instruments_2_dataset_instrument_nid "4112";
    String instruments_2_description "The CTD SEACAT recorder is an instrument package manufactured by Sea-Bird Electronics. The first Sea-Bird SEACAT Recorder was the original SBE 16 SEACAT developed in 1987. There are several model numbers including the SBE 16plus (SEACAT C-T Recorder (P optional))and the SBE 19 (SBE 19plus SEACAT Profiler measures conductivity, temperature, and pressure (depth)). More information from Sea-Bird Electronics.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/350/";
    String instruments_2_instrument_name "CTD Sea-Bird SEACAT";
    String instruments_2_instrument_nid "479";
    String instruments_2_supplied_name "Sea-Bird Seacat CTD";
    String keywords "altimetry, available, bco, bco-dmo, biological, cast, chemical, comments, cruiseid, data, dataset, day, day_local, depth, depth_w, dmo, erddap, eventno, flvolt, laboratory, latitude, light, light_tran_v, local, longitude, management, month, month_local, numb, numb_obs, object, object_year, obs, observations, oceanography, office, par, par_scalar_v, photosynthetically, preliminary, press, profiler, radiation, sal, salinity, salinity-temperature-depth, satellite, scalar, ship, site, station, station_std, std, temperature, time, time_local, tran, v, year, yrday, yrday_gmt, yrday_local";
    String license "https://www.bco-dmo.org/dataset/2395/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2395";
    Float64 Northernmost_Northing 42.343;
    String param_mapping "{'2395': {'lat': 'master - latitude', 'press': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2395/parameters";
    String people_0_affiliation "National Marine Fisheries Service";
    String people_0_affiliation_acronym "NMFS";
    String people_0_person_name "Dr David Mountain";
    String people_0_person_nid "50431";
    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 40.285;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "object,si,site";
    String summary "Broad-scale hydrography from CTDs deployed from 30 cruises on the R/V Albatross IV, R/V Endeavor, and R/V Oceanus in the Gulf of Maine and Georges Bank from 1995-1999 (GLOBEC-GB project).";
    String title "Broad-scale hydrography from CTDs deployed from 30 cruises on the R/V Albatross IV, R/V Endeavor, and R/V Oceanus in the Gulf of Maine and Georges Bank from 1995-1999 (GB project)";
    String version "2";
    Float64 Westernmost_Easting -69.268;
    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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