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Dataset Title:  Scientific sampling event log in the CoFeMUG cruise from R/V Knorr KN192-05 in
the South Atlantic subtropical gyre and Benguela upwelling region (CoFeMUG
project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3096)
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 ?
 
 Cruise_ID (dimensionless) ?      
   - +  ?
 event (dimensionless) ?          11180853    12111150
 sta (dimensionless) ?          1    27
 cast (dimensionless) ?          1    57
 date (dimensionless) ?          20071118    20071211
 year (dimensionless) ?      
   - +  ?
 mon (dimensionless) ?          11    12
 day (dimensionless) ?          1    30
 time2 (Time, dimensionless) ?          "0001"    "2353"
 time_L (dimensionless) ?          "0001"    "2353"
 TZ (dimensionless) ?          -2    1
 lon_360 (Longitude, decimal degrees) ?          2.5    360.0
 longitude (degrees_east) ?          -30.0    14.671
  < slider >
 latitude (degrees_north) ?          -25.004    -11.0
  < slider >
 ev_code (dimensionless) ?          "CTD1"    "TMR9"
 ev_type (dimensionless) ?          "CTD"    "TMR"
 seafloor (meters) ?          120    5534
 activities_and_comments (dimensionless) ?          "Deep Cast did not ..."    "upcast about 70 me..."
 
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.")

File type: (more info)

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise_ID {
    String bcodmo_name "cruise_id";
    String description "cruise iedntifier";
    String long_name "Cruise ID";
    String units "dimensionless";
  }
  event {
    Int32 _FillValue 2147483647;
    Int32 actual_range 11180853, 12111150;
    String bcodmo_name "event";
    String description "event number";
    String long_name "Event";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
    String units "dimensionless";
  }
  sta {
    Byte _FillValue 127;
    Byte actual_range 1, 27;
    String bcodmo_name "sta";
    String description "station number; generally sequential; a number designating a general geographic location at which one or more sampling activities may occur";
    String long_name "Sta";
    String units "dimensionless";
  }
  cast {
    Byte _FillValue 127;
    Byte actual_range 1, 57;
    String bcodmo_name "cast";
    String description "cast number";
    String long_name "Cast";
    String units "dimensionless";
  }
  date {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20071118, 20071211;
    String bcodmo_name "date";
    String description "start date of event (GMT)";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String units "dimensionless";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2007, 2007;
    String bcodmo_name "year";
    String description "year of start date of event (GMT)";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "dimensionless";
  }
  mon {
    Byte _FillValue 127;
    Byte actual_range 11, 12;
    String bcodmo_name "month";
    String description "month of year; numeric 1 to 12";
    String long_name "Mon";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "dimensionless";
  }
  day {
    Byte _FillValue 127;
    Byte actual_range 1, 30;
    String bcodmo_name "day";
    String description "day of month sampling began (GMT); numeric 1 to 31";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "dimensionless";
  }
  time2 {
    String bcodmo_name "time";
    String description "time of day sampling began; reported in GMT as HHMM (hours and minutes)";
    String long_name "Time";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/";
    String units "dimensionless";
  }
  time_L {
    String bcodmo_name "time_local";
    String description "time of day sampling began; reported in local time as HHMM (hours and minutes) adjusted for local time zone";
    String long_name "Time L";
    String units "dimensionless";
  }
  TZ {
    Byte _FillValue 127;
    Byte actual_range -2, 1;
    String bcodmo_name "timezone";
    String description "timezone; the number of hours added to GMT to convert to local time (opposite of GLOBEC convention)";
    String long_name "TZ";
    String units "dimensionless";
  }
  lon_360 {
    Float32 _FillValue NaN;
    Float32 actual_range 2.5, 360.0;
    String bcodmo_name "lon_360";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, from 0 to 360 decimal degrees";
    String long_name "Longitude";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -30.0, 14.671;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, in decimal degrees, East is positive, negative denotes 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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -25.004, -11.0;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, in decimal degrees, North is positive, negative denotes 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";
  }
  ev_code {
    String bcodmo_name "event code";
    String description "event code; event type plus sequential number";
    String long_name "Ev Code";
    String units "dimensionless";
  }
  ev_type {
    String bcodmo_name "ev_type";
    String description "event type; CTD or Trace metal (TMR)";
    String long_name "Ev Type";
    String units "dimensionless";
  }
  seafloor {
    Int16 _FillValue 32767;
    Int16 actual_range 120, 5534;
    String bcodmo_name "depth_bottom";
    String description "depth of the seafloor; water depth from the shipboard 12 kHz Knudsen echosounder";
    String long_name "Seafloor";
    String units "meters";
  }
  activities_and_comments {
    String bcodmo_name "activity_and_comments";
    String description "activities, comments, notes pertaining to event";
    String long_name "Activities And Comments";
    String units "dimensionless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Shipboard sampling events were logged in two separate Excel spreadsheets, one
for the CTD/Niskin bottle rosette package and a second for the Trace Metal
(TM) rosette package.";
    String awards_0_award_nid "54681";
    String awards_0_award_number "OCE-0452883";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0452883";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "Donald L. Rice";
    String awards_0_program_manager_nid "51467";
    String cdm_data_type "Other";
    String comment 
"version 23 September 2009  
  (previous version 28 March 2009)  
   
  PI: Mak Saito (WHOI)  
   
  KN192-5  scientific sampling events  
   
  DMO notes: includes sufficient metadata to support Ocean Data View format  
    TMR cast notes abbreviated from original TMR log  
    time data are all GMT 
    note: TMR time is max Depth, depth at which bottle 1 fired 
          CTD time is start of cast";
    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 "2010-06-16T20:40:39Z";
    String date_modified "2020-03-25T17:37:41Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.26008/1912/bco-dmo.3096.2";
    Float64 Easternmost_Easting 14.671;
    Float64 geospatial_lat_max -11.0;
    Float64 geospatial_lat_min -25.004;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 14.671;
    Float64 geospatial_lon_min -30.0;
    String geospatial_lon_units "degrees_east";
    String history 
"2022-08-09T13:05:45Z (local files)
2022-08-09T13:05:45Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3096.html";
    String infoUrl "https://www.bco-dmo.org/dataset/3096";
    String institution "BCO-DMO";
    String keywords "activities, activities_and_comments, bco, bco-dmo, biological, cast, chemical, code, comments, cruise, Cruise_ID, data, dataset, date, day, dmo, erddap, ev_code, ev_type, event, latitude, lon_360, longitude, management, monthly, oceanography, office, preliminary, seafloor, sta, time, time2, time_L, type, year";
    String license "https://www.bco-dmo.org/dataset/3096/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3096";
    Float64 Northernmost_Northing -11.0;
    String param_mapping "{'3096': {'lat': 'flag - latitude', 'lon': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3096/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Mak A. Saito";
    String people_0_person_nid "50985";
    String people_0_role "Chief Scientist";
    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 "Cynthia  L. Chandler";
    String people_1_person_nid "50637";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "CoFeMUG";
    String projects_0_acronym "CoFeMUG";
    String projects_0_description 
"The geochemistries of dissolved cobalt (Co) and iron (Fe) in the oceanic water column share several characteristics such as extremely low concentrations, redox chemistry, low solubility,and utilization as micronutrients by marine microbes. Iron has been the subject of considerable research focus in recent years due to its role in limiting phytoplankton productivity in oceanic and coastal upwelling environments. Cobalt has been much less studied, but recent data show it may be important in influencing primary productivity or phytoplankton community composition in certain geographical areas.
The CoFeMUG project predated GEOTRACES, so while it is not formally recognized as a GEOTRACES section, it is considered a GEOTRACES-related project and the CoFeMUG data are GEOTRACES compliant.
State-of-the-art geochemical and molecular biological techniques were used to address biogeochemical questions in the South Atlantic, and focus especially on the two trace metals, cobalt and iron. The 27-day cruise in November and December 2007 to the South Atlantic was designed to study cobalt and iron biogeochemistry and focus on four major hypotheses.
(1) Large fluxes of labile cobalt are associated with upwelling systems even in Aeolian dominated environments.
(2) Cobalt and phosphate show correlations in (and only in) surface waters due to micronutrient utilization and rapid remineralization. The slope of the correlation is dependent on the chemical speciation of cobalt.
(3) The absence of Trichodesmium populations in the subtropical and tropical South Atlantic is caused by iron limitation.
(4) Based on work from the California and Peru Upwelling regimes, primary productivity in the Benguela upwelling regime off of South West Africa may be iron limited or iron-cobalt colimited.
A combination of geochemical and biological/molecular analyses were made across an oligotrophic-upwelling transition to examine how changing metal regimes affect the physiology and growth of the important primary producers Trichodesmium and Synechococcus.
CoFeMUG project results are published in:
Noble, Abigail E., Carl H. Lamborg, Dan C. Ohnemus, Phoebe J. Lam, Tyler J. Goepfert, Chris I. Measures, Caitlin H. Frame, Karen L. Casciotti, Giacomo R. DiTullio, Joe Jennings, and Mak A. Saito (2012) Basin-scale inputs of cobalt, iron, and manganese from the Benguela-Angola front to the South Atlantic Ocean. Limnology & Oceanography. Vol. 57(4), July 2012. pgs 989-1010. doi:10.4319/lo.2012.57.4.0989 (www.aslo.org/lo/toc/vol_57/issue_4/0989.pdf)";
    String projects_0_end_date "2008-03";
    String projects_0_geolocation "South Atlantic subtropical gyre and Benguela upwelling region";
    String projects_0_name "Cobalt, Iron and Micro-organisms from the Upwelling zone to the Gyre";
    String projects_0_project_nid "2067";
    String projects_0_start_date "2005-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -25.004;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "Cruise_ID,year";
    String summary "Scientific sampling event log in the CoFeMUG cruise from R/V Knorr KN192-05 in the South Atlantic subtropical gyre and Benguela upwelling region.";
    String title "Scientific sampling event log in the CoFeMUG cruise from R/V Knorr KN192-05 in the South Atlantic subtropical gyre and Benguela upwelling region (CoFeMUG project)";
    String version "2";
    Float64 Westernmost_Easting -30.0;
    String xml_source "osprey2erddap.update_xml() v1.3";
  }
}

 

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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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