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Dataset Title:  Scientific sampling event log from R/V Knorr cruise KN210-04 in the Western
Atlantic Ocean between Uruguay and Barbados in 2013 (Deep Atlantic DOM project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_4008)
Range: longitude = -59.66774 to -23.999037°E, latitude = -38.00741 to 13.101958°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 {
  event {
    String bcodmo_name "event";
    String description "Unique ID number for the event; date-time string does NOT necessarily equal the date-time that the event actually occurred. Value serves a unique identifier only.";
    String long_name "Event";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
    String units "dimensionless";
  }
  date_utc {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20130325, 20130510;
    String bcodmo_name "date_utc";
    String description "Date (UTC) when the event occurred. Created from original dateTimeUTC field in YYYYmmdd format.";
    String long_name "Date Utc";
    String units "unitless";
  }
  time_utc {
    String bcodmo_name "time_utc";
    String description "Time (UTC) when the event occurred; in hours and minutes (0000 to 2359). Created from original dateTimeUTC field.";
    String long_name "Time Utc";
    String units "HHMM";
  }
  instrument {
    String bcodmo_name "instrument";
    String description "Name of instrument.";
    String long_name "Instrument";
    String units "dimensionless";
  }
  action {
    String bcodmo_name "action";
    String description "Activity performed with the instrument.";
    String long_name "Action";
    String units "dimensionless";
  }
  station {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 23.5;
    String bcodmo_name "station";
    String description "Identification number of the sampling station.";
    String long_name "Station";
    String units "dimensionless";
  }
  cast {
    String bcodmo_name "cast";
    String description "Consecutive cast number for the instrument.";
    String long_name "Cast";
    String units "dimensionless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -38.007408, 13.101958;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude in decimal degrees at the time the event occurred. North = positive.";
    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 -59.667738, -23.999036;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude in decimal degrees at the time the event occurred. East = positive.";
    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";
  }
  seafloor {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 5878;
    String bcodmo_name "depth_w";
    String description "Depth of the water.";
    String long_name "Seafloor";
    String units "meters";
  }
  author {
    String bcodmo_name "investigator";
    String description "Name of person that recorded the event.";
    String long_name "Author";
    String units "dimensionless";
  }
  comment {
    String bcodmo_name "comment";
    String description "Comment entered about the sampling event; free-text.";
    String long_name "Comment";
    String units "dimensionless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"The event log was created using the Rolling Deck to Repository (R2R) event log
application (ELOG). The log includes a record of all scientific sampling
events from the cruise. In addition to event identification numbers unique for
the cruise, the scientific sampling event log includes date and time (GMT),
position (latitude and longitude), station and cast identifier as appropriate
to the sampling event, sampling instrument name (e.g. CTD911, planktonNetTow,
McLanePump), name of person responsible for the sampling event, and a comment
field to record additional information. See more information about the R2R
event log:
[https://www.rvdata.us/about/eventlog](\\\\\"https://www.rvdata.us/about/eventlog\\\\\")";
    String awards_0_award_nid "54954";
    String awards_0_award_number "OCE-1154320";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1154320";
    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 
"KN210-04 Event Log  
 Chief Scientist: Elizabeth Kujawinski (WHOI) 
 Version: 13 November 2013 
  Note: Post-cruise corrections (including those described in the 
  comments column) to position, date, time have been applied.";
    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 "2013-07-31T18:08:13Z";
    String date_modified "2019-11-12T20:43:27Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.4008.1";
    Float64 Easternmost_Easting -23.999036;
    Float64 geospatial_lat_max 13.101958;
    Float64 geospatial_lat_min -38.007408;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -23.999036;
    Float64 geospatial_lon_min -59.667738;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-08-09T16:33:02Z (local files)
2020-08-09T16:33:02Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_4008.das";
    String infoUrl "https://www.bco-dmo.org/dataset/4008";
    String institution "BCO-DMO";
    String keywords "action, author, bco, bco-dmo, biological, cast, chemical, comment, data, dataset, date, date_utc, dmo, erddap, event, instrument, latitude, longitude, management, oceanography, office, preliminary, seafloor, station, time, time_utc";
    String license "https://www.bco-dmo.org/dataset/4008/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/4008";
    Float64 Northernmost_Northing 13.101958;
    String param_mapping "{'4008': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/4008/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Elizabeth Kujawinski";
    String people_0_person_nid "51089";
    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 "Shannon Rauch";
    String people_1_person_nid "51498";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "Deep Atlantic DOM";
    String projects_0_acronym "Deep Atlantic DOM";
    String projects_0_description 
"Transformations of dissolved organic matter (DOM) in the deep ocean have profound impacts on the global carbon cycle due to the sequestration of carbon dioxide (CO2) away from the atmosphere.  Although research has been conducted on the high molecular weight component of this material, the same cannot be said for low molecular weight DOM because the needed analytical techniques have not been available to determine its composition and reactivity.
In recent years, a research team at Woods Hole Oceanographic Institution has acquired the necessary analytical capability. As such, in this project, they will carry out the first systematic survey of deep ocean DOM in the western Atlantic Ocean to characterize the low molecular weight fraction of DOM in southward flowing North Atlantic Deep Water (NADW), northward flowing Antarctic Bottom Water (AABW), and Antarctic Intermediate Water (AAIW).  Using ultrahigh resolution mass spectrometry and multi-stage fragmentation coupled to liquid chromatography, the scientists will determine the spatial variability in the composition of DOM along the flow path of the water masses, as well as assess the source water, transport, and surface processes that contribute to temporal changes in DOM composition.  These results will be augmented with structural elucidation and quantitative assays of unique marker compounds for each water mass.  Results will provide important insights into the biogeochemical reactions that govern DOM dynamics in the deep ocean.";
    String projects_0_end_date "2015-01";
    String projects_0_geolocation "Western Atlantic Ocean";
    String projects_0_name "Dissolved Organic Matter Composition in the Deep Atlantic Ocean";
    String projects_0_project_nid "2204";
    String projects_0_start_date "2012-02";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -38.007408;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Scientific sampling event log from R/V Knorr cruise KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados in 2013 (Deep Atlantic DOM project).";
    String title "Scientific sampling event log from R/V Knorr cruise KN210-04 in the Western Atlantic Ocean between Uruguay and Barbados in 2013 (Deep Atlantic DOM project)";
    String version "1";
    Float64 Westernmost_Easting -59.667738;
    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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