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Dataset Title:  Cruise track position data from cruises MV1101 and RR1202 (Great Calcite Belt
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_473241)
Range: longitude = -70.906654 to 115.765236°E, latitude = -60.019875 to -29.842043°N, time = 2011-01-11T00:00:01Z to 2012-03-22T23:38:00Z
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 bcodmo_name "cruiseid";
    String description "Official UNOLS cruise id";
    String long_name "Cruise Id";
    String units "text";
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.294704001e+9, 1.33245948e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "ISO formatted UTC Date and Time";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -60.019873, -29.842043;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude Position (South is negative)";
    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 -70.906657, 115.765233;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude Position (West is negative)";
    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";
  SOG {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 24.3;
    String bcodmo_name "sog";
    String description "Instantaneous Speed-over-ground";
    String long_name "Speed Over Ground";
    String units "meters/sec";
  COG {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 359.643;
    String bcodmo_name "cog";
    String description "Instantaneous Course-over-ground [deg. clockwise from North]";
    String long_name "Course Over Ground";
    String units "decimal degrees";
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Generated by BCO-DMO staff from R2R Archive files
File Creation Date for MV1101 from R2R Header: // Creation date:
File Creation Date for RR1202 from R2R Header: // Creation date:
    String awards_0_award_nid "473207";
    String awards_0_award_number "OCE-0961660";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward?AWD_ID=0961660&HistoricalAwards=false";
    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 "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Version: 19 December 2013 
  PIs: Balch, et al 
  Cruise Tracks from R2R Archive - 1 minute fixes";
    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 "2013-12-19T16:16:21Z";
    String date_modified "2019-11-20T19:07:17Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.473241.1";
    Float64 Easternmost_Easting 115.765233;
    Float64 geospatial_lat_max -29.842043;
    Float64 geospatial_lat_min -60.019873;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 115.765233;
    Float64 geospatial_lon_min -70.906657;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-05-26T01:47:40Z (local files)
2024-05-26T01:47:40Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_473241.das";
    String infoUrl "https://www.bco-dmo.org/dataset/473241";
    String institution "BCO-DMO";
    String instruments_0_acronym "GPS";
    String instruments_0_dataset_instrument_nid "473264";
    String instruments_0_description "The Global Positioning System (GPS) is a U.S. space-based radionavigation system that provides reliable positioning, navigation, and timing services to civilian users on a continuous worldwide basis. The U.S. Air Force develops, maintains, and operates the space and control segments of the NAVSTAR GPS transmitter system. Ships use a variety of receivers (e.g. Trimble and Ashtech) to interpret the GPS signal and determine accurate latitude and longitude.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/POS03/";
    String instruments_0_instrument_name "Global Positioning System Receiver";
    String instruments_0_instrument_nid "560";
    String instruments_0_supplied_name "GPS";
    String keywords "bco, bco-dmo, biological, chemical, COG, course, cruise, CruiseId, data, dataset, date, dmo, erddap, ground, iso, latitude, longitude, management, oceanography, office, over, preliminary, SOG, speed, time";
    String license "https://www.bco-dmo.org/dataset/473241/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/473241";
    Float64 Northernmost_Northing -29.842043;
    String param_mapping "{'473241': {'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/473241/parameters";
    String people_0_affiliation "Bigelow Laboratory for Ocean Sciences";
    String people_0_person_name "William M. Balch";
    String people_0_person_nid "50650";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Bigelow Laboratory for Ocean Sciences";
    String people_1_person_name "William M. Balch";
    String people_1_person_nid "50650";
    String people_1_role "Contact";
    String people_1_role_type "related";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Stephen R. Gegg";
    String people_2_person_nid "50910";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "Great Calcite Belt";
    String projects_0_acronym "Great Calcite Belt";
    String projects_0_description 
"Collaborative Research: The Great Southern Coccolithophore Belt
Intellectual merit: Recent advances in satellite remote sensing enable estimation of suspended calcium carbonate (particulate inorganic carbon or 'PIC') from space. This radiative approach is operationally specific to marine coccolithophores (Haptophyceae) and sensitive enough to quantify PIC concentrations in oligotrophic gyres. Global images of suspended PIC taken over the seven years of the MODIS Aqua mission show a 'Great Belt' of PIC near the sub-Antarctic front of the Southern Ocean that circles the globe. This feature occurs every year during austral summer and appears to be within the high-nutrient, low chlorophyll region of the Southern Ocean. The area of the Great Belt is ~88 million km2, 26% of the global ocean. Evidence from several cruises into the Great Belt region of the Atlantic, Indian and Pacific sectors has verified elevated concentrations of coccolithophores; previous work in the Atlantic sector verified high optical scattering from PIC. The few ship observations we have are entirely consistent with the satellite views. In this project, the investigators will systematically study the coccolithophores of the Great Belt guided by the following science goals: (a) identify the coccolithophore species within this belt; (b) measure the abundance of coccolithophores and associated PIC; (c) measure coccolithopore calcification rates; (d) elucidate factors that may limit coccolithophore latitudinal range (e.g. stratification, temperature, macronutrients, trace metals, grazing); (e) demonstrate whether the variability in PIC relates to shallow export flux; (f) define how variability in PIC production relates to the pCO2, total alkalinity and dissolved inorganic carbon budgets; and (g) examine the impact of short-term ocean acidification on coccolithophore growth and calcite dissolution.
The research will involve cruises along the 50 S parallel to sample the Great Belt, during the austral summer. The investigators will use a combination of underway surface sampling (primarily optical and hydrographic) and vertical station profiles (using CTD/rosette and large volume submersible pumps) to address hypotheses related to the above goals. The cruise track will elucidate both zonal and meridional variability in the Great Belt. Controlled carboy incubation experiments will examine the impact of ocean acidification at various future scenarios on coccolithophore growth and dissolution. Dilution experiments will address grazing-related mortality and dissolution questions. Controlled metal-addition incubations will focus on potential iron, zinc and cobalt limitation of the coccolithophores or competition from diatoms related to silica availability. The proposed field observations and metal-addition experiments will provide important information on the current status of the Great Belt in the context of global biogeochemistry. The ocean acidification experiments to be undertaken are more forward-looking in terms of the fate of the Southern Ocean coccolithophores in a future acidified ocean.
Broader impacts: The globally significant size of the Great Belt indicates that it likely plays a major role in global biogeochemistry and climate change feedbacks. Thus, the investigators expect this work to have broad, transformative impacts in biological and chemical oceanography. Ocean acidification from the burning of fossil fuels is predicted to lower the pH of the surface ocean by 0.3 units in the next century and up to 0.7 units - a 5-fold increase in the proton concentration by the year 2300. A major goal of this study is to examine the effects of ocean acidification on coccolithophores in a region of low calcite saturation (i.e., one of the first regions expected to become sub-saturating for calcite). The results of these experiments will therefore be highly relevant to our basic understanding of the marine carbon cycle. Related to career development and Criterion II activities, the project includes field experience on two cruises for NSF REU undergraduates from Maine universities or colleges, providing funds for them to attend a scientific meeting. Participation of undergraduate students from Maine colleges builds capacity in our rural coastal state and helps thwart the serious issue of 'brain drain', in which the best students are leaving Maine to seek opportunity in wealthier, more populated states. A teacher will also participate on the cruises (via the NSF-sponsored ARMADA program). This teacher will develop learning modules for students about such topics as coccolithophores, calcification, export production, metal-plankton interactions, ocean acidification and climate change.
Balch, WM; Drapeau, DT; Bowler, BC; Lyczskowski, E; Booth, ES; Alley, D. \"The contribution of coccolithophores to the optical and inorganic carbon budgets during the Southern Ocean Gas Exchange Experiment: New evidence in support of the \"Great Calcite Belt\" hypothesis,\" JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, v.116, 2011. View record at Web of Science
Poulton, AJ; Young, JR; Bates, NR; Balch, WM. \"Biometry of detached Emiliania huxleyi coccoliths along the Patagonian Shelf,\" MARINE ECOLOGY-PROGRESS SERIES, v.443, 2011, p. 1. View record at Web of Science
Brown, Michael S, W. Balch, S. Craig, B. Bowler, D. Drapeau, J. Grant. \"Optical closure within a Patagonian Shelf coccolithhophore bloom\", 06/01/2011-05/31/2012,  2012, \"ACCESS'12. Atlantic Canada Coastal & Estuarine Science Society. Dalhousie University, Halifax, Nova Scotia. 10-13 May, 2012.\".";
    String projects_0_end_date "2014-05";
    String projects_0_geolocation "Southern Ocean.  60W to 120E; 30S to 60S;";
    String projects_0_name "The Great Southern Coccolithophore Belt";
    String projects_0_project_nid "473206";
    String projects_0_project_website "http://greatbeltresearchcruise.com/gbr11/";
    String projects_0_start_date "2010-06";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -60.019873;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Cruise track position data from cruises MV1101 and RR1202.";
    String time_coverage_end "2012-03-22T23:38:00Z";
    String time_coverage_start "2011-01-11T00:00:01Z";
    String title "Cruise track position data from cruises MV1101 and RR1202 (Great Calcite Belt project)";
    String version "1";
    Float64 Westernmost_Easting -70.906657;
    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
For example,
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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