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Dataset Title:  CTD data collected during MOCNESS tows to Georges Bank and the Gulf of Maine
on the US GLOBEC Georges Bank Broadscale and Process cruises, 1994-1999
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2302)
Range: longitude = -138.9962 to 113.3667°E, latitude = 0.0333 to 76.1552°N, depth = -442.0 to 6540.0m
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 {
  datatype {
    String bcodmo_name "datatype";
    String description "MOCNESS size";
    String long_name "Datatype";
  }
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "Cruise identification, e.g.  EN261, for Endeavor cr.  261";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1993, 1999;
    String bcodmo_name "year";
    String description "Four digit year, local time";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
  }
  brief_desc {
    String bcodmo_name "brief_desc";
    String description "Brief cruise description, suchas:  broad-scale, process, mooring, etc.,";
    String long_name "Brief Desc";
  }
  tow {
    String bcodmo_name "tow";
    String description "Tow number";
    String long_name "Tow";
  }
  day_local {
    String bcodmo_name "day_local";
    String description "Day of month, local time, 1 - 31";
    String long_name "Day Local";
  }
  month_local {
    String bcodmo_name "month_local";
    String description "Month of year, local time 1 - 12";
    String long_name "Month Local";
  }
  station {
    String bcodmo_name "station";
    String description "station number, from event log";
    String long_name "Station";
  }
  station_std {
    String bcodmo_name "station_std";
    String description "standard station number, from eventlog";
    String long_name "Station Std";
  }
  yrday_local {
    String bcodmo_name "yrday_local";
    String description "year day, Julian Calendar local time";
    String long_name "Yrday Local";
    String units "decimal day";
  }
  time_local {
    String bcodmo_name "time_local";
    String description "time of day; local time using 24 hour clock.";
    String long_name "Time Local";
    String units "HHmm.m";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range -442.0, 6540.0;
    String axis "Z";
    String bcodmo_name "pressure";
    String description "depth of sample";
    String ioos_category "Location";
    String long_name "Press";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  temp {
    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.";
  }
  potemp {
    String bcodmo_name "potemp";
    String description "potential temperature¹";
    String long_name "Potemp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/POTMCV01/";
    String units "degress C.";
  }
  sal {
    String bcodmo_name "sal";
    String description "salinity calculated from conductivity; if salinity exceeds 50 or is less than 0 o/oo, salinity is set to 50.";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
  }
  sigma_0 {
    String bcodmo_name "sigma_0";
    String description "potential density¹ at the surface";
    String long_name "Sigma 0";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
    String units "kg/m3-1000";
  }
  flvolt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5701.0;
    String bcodmo_name "fluor voltage";
    String description "fluorescence (0-5 volts)";
    String long_name "Flvolt";
    String units "volts";
  }
  angle {
    String bcodmo_name "angle";
    String description "angle of net frame relative to vertical (0-89 dgrees)";
    String long_name "Angle";
  }
  flow {
    String bcodmo_name "flow";
    String description "consecutive flow counts";
    String long_name "Flow";
  }
  hzvel {
    String bcodmo_name "hzvel";
    String description "horizontal net velocity m/min";
    String long_name "Hzvel";
    String units "meters/minute";
  }
  vtvel {
    String bcodmo_name "vtvel";
    String description "vertical net velocity m/min";
    String long_name "Vtvel";
    String units "meters/minute";
  }
  vol_net {
    String bcodmo_name "vol_filt";
    String description "volume filtered";
    String long_name "Vol Net";
    String units "meters3";
  }
  trans_v {
    String bcodmo_name "trans_v";
    String description "light transmission (0-5 volts)";
    String long_name "Trans V";
    String units "volts";
  }
  net {
    String bcodmo_name "net";
    String description "sequential MOCNESS net number";
    String long_name "Net";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0333, 76.1552;
    String axis "Y";
    String bcodmo_name "latitude";
    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 -138.9962, 113.3667;
    String axis "X";
    String bcodmo_name "longitude";
    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";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"The underwater unit sends a data frame, comprised of temperature, depth,
conductivity, net-frame angle, flow count, time, number of open net, and net
opening/closing, to the deck unit in a compressed hexadecimal format every 2
seconds and from the deck unit to a microcomputer every 4 seconds...
Temperature (to approximately 0.01 deg C) and conductivity are measured with
SEABIRD sensors. Normally, a modified T.S.K.-flowmeter is used... Both the
temperature and conductivity sensors and the flowmeter are mounted on top of
the frame so that they face horizontally when the frame is at a towing angle
of 45deg... Calculations of salinity (to approximately 0.01 o/oo S), potential
temperature (theta), potential density (sigma), the oblique and vertical
velocities of the net, and the approximate volume filtered by each net are
made after each string of data has been received by the computer.";
    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 
"Displayed by /data/rgroman/ctd_mocness/mocpro_level0.pl, v1.24/Jan. 28, 2000 
 Displayed by /data/rgroman/ctd_mocness/mocpro_level1.pl, V2.07/August 1, 2001 
   For MOC.25 data, with filetype=pro 
 Displayed by /data/rgroman/ctd_mocness/mocpro_level2.pl, V2.16a/December 30, 2003 
   For /data2/gbdata/al9306/moc, MOC.25, pro, AL9306, 1993 
 Displayed by /data/rgroman/ctd_mocness/mocpro_level3.pl, V1.53/December 3, 2004 
    Using data file /data2/gbdata/al9306/moc/m4-1014.pro 
 #Note: local times may be in error.  12/8/98 rcg";
    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 "2010-06-15T17:11:33Z";
    String date_modified "2019-01-30T16:27:36Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.2302.1";
    Float64 Easternmost_Easting 113.3667;
    Float64 geospatial_lat_max 76.1552;
    Float64 geospatial_lat_min 0.0333;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 113.3667;
    Float64 geospatial_lon_min -138.9962;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 6540.0;
    Float64 geospatial_vertical_min -442.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-19T10:02:30Z (local files)
2024-04-19T10:02:30Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2302.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2302";
    String institution "BCO-DMO";
    String instruments_0_acronym "MOC.25";
    String instruments_0_dataset_instrument_description "The MOCNESS-.25 carries nine rectangular nets (1/4-m2), usually with 64 micrometer mesh.";
    String instruments_0_dataset_instrument_nid "4088";
    String instruments_0_description "The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle.  The MOCNESS-1/4 carries nine 1/4-m2 nets usually of 64 micrometer mesh and is used to sample the larger micro-zooplankton.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/";
    String instruments_0_instrument_name "MOCNESS.25";
    String instruments_0_instrument_nid "436";
    String instruments_0_supplied_name "MOCNESS.25";
    String instruments_1_acronym "MOC1";
    String instruments_1_dataset_instrument_description "The MOCNESS-1 has nine rectangular nets (1m x 1.4 m) which are opened and closed sequentially by commands through conducting cable from the surface (Wiebe et al., 1976).";
    String instruments_1_dataset_instrument_nid "4087";
    String instruments_1_description "The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. The MOCNESS-1 carries nine 1-m2 nets usually of 335 micrometer mesh and is intended for use with the macrozooplankton.  All nets are black to reduce contrast with the background.  A motor/toggle release assembly is mounted on the top portion of the frame and stainless steel cables with swaged fittings are used to attach the net bar to the toggle release.  A stepping motor in a pressure compensated case filled with oil turns the escapement crankshaft of the toggle release which sequentially releases the nets to an open then closed position on command from the surface. -- from the MOCNESS Operations Manual (1999 + 2003).";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/";
    String instruments_1_instrument_name "MOCNESS1";
    String instruments_1_instrument_nid "437";
    String instruments_1_supplied_name "MOCNESS1";
    String instruments_2_acronym "MOC10";
    String instruments_2_dataset_instrument_description "The MOCNESS-10 (with 10 m2 nets)carries 6 nets of 3.0-mm circular mesh.";
    String instruments_2_dataset_instrument_nid "4089";
    String instruments_2_description "The Multiple Opening/Closing Net and Environmental Sensing System (MOCNESS) is based on the Tucker Trawl principle (Tucker, 1951).  The MOCNESS-10 (with 10 m^2 nets) carries 6 nets of 3.0-mm circular mesh which are opened and closed sequentially by commands through conducting cable from the surface (Wiebe et al., 1976). In this system, \"the underwater unit sends a data frame, comprising temperature, depth, conductivity, net-frame angle, flow count, time, number of open net, and net opening/closing, to the deck unit in a compressed hexadecimal format every 2 seconds and from the deck unit to a microcomputer every 4 seconds\" (Wiebe et al., 1985).";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/";
    String instruments_2_instrument_name "MOCNESS10";
    String instruments_2_instrument_nid "438";
    String instruments_2_supplied_name "MOCNESS10";
    String keywords "altimetry, angle, bco, bco-dmo, biological, brief, brief_desc, chemical, cruiseid, data, dataset, datatype, day, day_local, depth, desc, dmo, erddap, flow, flvolt, hzvel, laboratory, latitude, local, longitude, management, month, month_local, net, oceanography, office, potemp, preliminary, press, profiler, sal, salinity, salinity-temperature-depth, satellite, sigma, sigma_0, station, station_std, std, temperature, time, time_local, tow, trans, trans_v, v, vol, vol_net, vtvel, year, yrday, yrday_local";
    String license "https://www.bco-dmo.org/dataset/2302/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2302";
    Float64 Northernmost_Northing 76.1552;
    String param_mapping "{'2302': {'lat': 'master - latitude', 'press': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2302/parameters";
    String people_0_affiliation "Washington State University";
    String people_0_person_name "Professor Steve  M. Bollens";
    String people_0_person_nid "50387";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_10_affiliation "Woods Hole Oceanographic Institution";
    String people_10_affiliation_acronym "WHOI";
    String people_10_person_name "Ms Dicky Allison";
    String people_10_person_nid "50382";
    String people_10_role "BCO-DMO Data Manager";
    String people_10_role_type "related";
    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 "Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of Rhode Island";
    String people_2_affiliation_acronym "URI-GSO";
    String people_2_person_name "Dr Peter Garrahan";
    String people_2_person_nid "50458";
    String people_2_role "Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "University of Rhode Island";
    String people_3_affiliation_acronym "URI-GSO";
    String people_3_person_name "Dian J. Gifford";
    String people_3_person_nid "50377";
    String people_3_role "Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "National Marine Fisheries Service";
    String people_4_affiliation_acronym "NMFS";
    String people_4_person_name "Dr John Green";
    String people_4_person_nid "50404";
    String people_4_role "Principal Investigator";
    String people_4_role_type "originator";
    String people_5_affiliation "National Marine Fisheries Service";
    String people_5_affiliation_acronym "NMFS";
    String people_5_person_name "Dr Greg Lough";
    String people_5_person_nid "50424";
    String people_5_role "Principal Investigator";
    String people_5_role_type "originator";
    String people_6_affiliation "Oregon State University";
    String people_6_affiliation_acronym "OSU";
    String people_6_person_name "Dr Charles B. Miller";
    String people_6_person_nid "50430";
    String people_6_role "Principal Investigator";
    String people_6_role_type "originator";
    String people_7_affiliation "National Oceanic and Atmospheric Administration";
    String people_7_affiliation_acronym "NOAA";
    String people_7_person_name "Dr John Sibunka";
    String people_7_person_nid "50445";
    String people_7_role "Principal Investigator";
    String people_7_role_type "originator";
    String people_8_affiliation "National Marine Fisheries Service";
    String people_8_affiliation_acronym "NMFS";
    String people_8_person_name "Ms Maureen Taylor";
    String people_8_person_nid "50450";
    String people_8_role "Principal Investigator";
    String people_8_role_type "originator";
    String people_9_affiliation "Woods Hole Oceanographic Institution";
    String people_9_affiliation_acronym "WHOI";
    String people_9_person_name "Peter H. Wiebe";
    String people_9_person_nid "50454";
    String people_9_role "Principal Investigator";
    String people_9_role_type "originator";
    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 0.0333;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "The MOCNESS is based on the Tucker Trawl principle (Tucker, 1951). The particular MOCNESS system from which these CTD data came is one of three net systems. The MOCNESS-10 (with 10 m2 nets)carries 6 nets of 3.0-mm circular mesh which are opened and closed sequentially by commands through conducting cable from the surface (Wiebe et al., 1976). In all three systems, \\the underwater unit sends a data frame, comprised of temperature, depth, conductivity, net-frame angle, flow count, time, number of open net, and net opening/closing, to the deck unit in a compressed hexadecimal format every 2 seconds and from the deck unit to a microcomputer every 4 seconds... Temperature (to approximately 0.01 deg C) and conductivity are measured with SEABIRD sensors. Normally, a modified T.S.K.-flowmeter is used... Both the temperature and conductivity sensors and the flowmeter are mounted on top of the frame so that they face horizontally when the frame is at a towing angle of 45deg... Calculations of salinity (to approximately 0.01 o/oo S), potential temperature (theta), potential density (sigma), the oblique and vertical velocities of the net, and the approximate volume filtered by each net are made after each string of data has been received by the computer.\\ (Wiebe et al., 1985) In addition, data were collected from four other sensors attached to the frame: the Transmissometer, the Fluorometer, the Downwelling light sensor, and the Oxygen sensor. A SeaBird underwater pump was also included in the sensor suite.";
    String title "CTD data collected during MOCNESS tows to Georges Bank and the Gulf of Maine on the US GLOBEC Georges Bank Broadscale and Process cruises, 1994-1999";
    String version "1";
    Float64 Westernmost_Easting -138.9962;
    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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