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Dataset Title:  Cruise track (1-min fixes; from R2R) from R/V F.G. Walton Smith cruise WS1005
from Miami to the Bahamas in 2010
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3993)
Range: longitude = -80.194145 to -76.82217°E, latitude = 24.699703 to 25.837782°N, time = 2010-03-18T00:00:00.405Z to 2010-03-24T20:23:00.388Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Data Access Form | Files
 
Graph Type:  ?
X Axis: 
Y Axis: 
Color: 
-1+1
 
Constraints ? Optional
Constraint #1 ?
Optional
Constraint #2 ?
       
       
       
       
       
 
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.")
 
Graph Settings
Marker Type:   Size: 
Color: 
Color Bar:   Continuity:   Scale: 
   Minimum:   Maximum:   N Sections: 
Draw land mask: 
Y Axis Minimum:   Maximum:   
 
(Please be patient. It may take a while to get the data.)
 
Optional:
Then set the File Type: (File Type information)
and
or view the URL:
(Documentation / Bypass this form ? )
    Click on the map to specify a new center point. ?
Zoom: 
Time range:                    
[The graph you specified. Please be patient.]

 

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 {
  date_utc {
    Int32 _FillValue 2147483647;
    Int32 actual_range 20100318, 20100324;
    String bcodmo_name "date_utc";
    String description "Year, month, and day (UTC) in YYYYmmdd format.";
    String long_name "Date Utc";
    String units "unitless";
  }
  time_utc {
    String bcodmo_name "time_utc";
    String description "Time (UTC) in hours, minutes, and decimal minutes; 24-hour clock.";
    String long_name "Time Utc";
    String units "HHMM.mmmmm";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 24.6997025, 25.83778167;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude (-90 to 90 decimal degrees).";
    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 -80.19414733, -76.8221655;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude (-180 to 180 decimal degrees).";
    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, 6.05;
    String bcodmo_name "sog";
    String description 
"Instantaneous speed-over-ground (in meters per second); computed from single-differences
of successive positions (from the current position to the next position).";
    String long_name "Speed Over Ground";
    String units "m/s";
  }
  cog {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 359.566;
    String bcodmo_name "cog";
    String description "Instantaneous course-over-ground measured in degrees clockwise from north.";
    String long_name "Course Over Ground";
    String units "degrees clockwise from North";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.268870400405e+9, 1.269462180388e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date/Time (UTC) formatted to ISO8601 standard. T indicates start of time string; Z indicates UTC.";
    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 "1970-01-01T00:00:00.000Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Original navigation and other data are available from the NSF R2R data
catalog:
[https://www.rvdata.us/search/cruise/WS1005](\\\\\"https://www.rvdata.us/search/cruise/WS1005\\\\\")";
    String awards_0_award_nid "54952";
    String awards_0_award_number "OCE-0926421";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0926421";
    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 
"WS1005 Cruise Track (1-min resolution) 
  from Rolling Deck to Repository (R2R) 
 R/V F.G. Walton Smith 
 Chief Sci: Joan Bernhard (WHOI) 
 Version: 09 July 2013";
    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 "2013-07-09T20:03:09Z";
    String date_modified "2019-11-12T20:32:53Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.3993.1";
    Float64 Easternmost_Easting -76.8221655;
    Float64 geospatial_lat_max 25.83778167;
    Float64 geospatial_lat_min 24.6997025;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -76.8221655;
    Float64 geospatial_lon_min -80.19414733;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-08-13T14:54:38Z (local files)
2020-08-13T14:54:38Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3993.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3993";
    String institution "BCO-DMO";
    String keywords "bco, bco-dmo, biological, chemical, cog, course, data, dataset, date, date_utc, dmo, erddap, ground, iso, latitude, longitude, management, oceanography, office, over, preliminary, sog, speed, time, time_utc";
    String license "https://www.bco-dmo.org/dataset/3993/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3993";
    Float64 Northernmost_Northing 25.83778167;
    String param_mapping "{'3993': {'lat': 'master - latitude', 'lon': 'master - longitude', 'ISO_DateTime_UTC': 'master - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3993/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Joan M. Bernhard";
    String people_0_person_nid "51285";
    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 "Protists_Stromatolites";
    String projects_0_acronym "Protists_Stromatolites";
    String projects_0_description 
"Collaborative  Research:  Were Protists the Beginning of the End for Stromatolites?                                                                                                    
This award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5).
Microbial  mats are conspicuous components of many benthic marine and aquatic  settings.  A subset of these microbial mats binds sediments to form  potentially fossilizable structures, often called stromatolites or  microbialites. While much is known about microbialite autotrophs, little  is known about their heterotrophic eukaryotes. The lack of  understanding is surprising given that stromatolites have an extensive  geologic record spanning most of Earth's history. Stromatolites are  layered sedimentary structures formed by a combination of microbial  activities, abiotic carbonate precipitation, and sedimentary processes.  Details of stromatolite formation and preservation are poorly  understood, and a drastic decline in stromatolite occurrence and  diversity in the late Precambrian has long been a conundrum. A popular  hypothesis to explain this decline at ~1 billion years ago is that  eukaryotic organisms evolved to become predators on stromatolites. To  date, the most commonly proposed predatory culprit is an unidentified  metazoan, although evidence of such an organism is lacking from the  fossil record. Protists, most of which are not expected to leave an  obvious fossil record, are additional possible stromatolitic predators,  but they have been largely ignored in this context. The hypotheses of  this project are: (1) Heterotrophic protist activity caused the textural  change from stromatolites (layered sediment fabric) to thrombolites  (clotted sediment fabric) and (2) Heterotrophic protists caused the  decimation of Neoproterozoic stromatolites. Since it is impossible to  recreate the Neoproterozoic, studies of modern analogs serve to  indirectly test these hypotheses. The overall goal of this project is to  describe the eukaryotic communities associated with modern  stromatolites and thrombolites from the Bahamas and Australia, compare  the communities from the two sites, and to relate the communities to  stromatolitic / thrombolitic sediment fabric and biomarker signatures. 
The  overall goal will be achieved by addressing the following specific  aims: (1) Identify, via morphologic and molecular approaches, the  eukaryotic community of modern stromatolites and thrombolites; (2)  Analyze modern and fossil stromatolites and thrombolites for their  eukaryotic lipid biomarkers using solvent extraction, chromatographic  and mass spectrometric methods; (3) Using the Fluorescently Labeled  Embedded Core (FLEC) method, document the sub-millimeter distributions  of the heterotrophic eukaryotic community inhabiting modern  stromatolites and thrombolites in conjunction with fine-scale sediment  fabric; (4) Using solvent extraction, chromatographic and mass  spectrometric methods, analyze cultures of allogromiid foraminifers to  survey for lipid biomarkers unique to them; (5)  After incubation of  modern stromatolites with heterotrophic protists, use FLEC methodology  to determine how their activity affects sediment fabric and conduct  preliminary comparisons of these modern fabrics to those of stromatolite  fossils. 
Intellectual Merit: The oldest fossil  stromatolites are >3.4 billion years old and are the most visible  manifestations of pervasive microbial life on the early Earth. The  changes in stromatolite abundance and morphology document complex  interplays between biological and geological processes. This project  addresses multiple aspects of stromatolite genesis and pre-fossilization  alteration but at its core, focuses on one of the greatest geological  enigmas: the possible connection between stromatolite decline and the  rise of complex life.";
    String projects_0_end_date "2013-08";
    String projects_0_geolocation "Highborne Cay, Bahamas and Carbla Station (Shark Bay), Western Australia";
    String projects_0_name "Were Protists the Beginning of the End for Stromatolites?";
    String projects_0_project_nid "2203";
    String projects_0_start_date "2009-09";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 24.6997025;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "1-minute resolution navigation from the WS1005 cruise aboard the R/V F.G. Walton Smith from 18 March to 24 March 2010.";
    String time_coverage_end "2010-03-24T20:23:00.388Z";
    String time_coverage_start "2010-03-18T00:00:00.405Z";
    String title "Cruise track (1-min fixes; from R2R) from R/V F.G. Walton Smith cruise WS1005 from Miami to the Bahamas in 2010";
    String version "1";
    Float64 Westernmost_Easting -80.19414733;
    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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