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Dataset Title:  Autonomous buoy position data from Southern Ocean GLOBEC from ARSV Laurence M.
Gould LMG0106 in the Southern Ocean from July 2001
  RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3114)
Range: longitude = -74.908 to -68.59497°E, latitude = -69.296 to -67.1153°N
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | 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 {
  buoy_id {
    String description "identification number of the buoy";
    String ioos_category "Identifier";
    String long_name "Buoy Id";
  }
  inst {
    String description "GPS or ARGOS type transmission";
    String ioos_category "Unknown";
    String long_name "Inst";
  }
  yrday_gmt {
    Float32 _FillValue NaN;
    Float32 actual_range 218.375, 314.3708;
    String description "GMT day and decimal time, as 326.5 for the 326th day of the year, or November 22 at 1200 hours (noon).";
    String ioos_category "Unknown";
    String long_name "Yrday Gmt";
  }
  date_gmt {
    String description "gmt month, day and year, usually as a text string, e.g. feb10_1995.";
    String ioos_category "Time";
    String long_name "Date Gmt";
    String source_name "date_gmt";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2001, 2001;
    String description "year, reported as YYYY, e.g. 1995";
    String ioos_category "Time";
    String long_name "Year";
  }
  month_gmt {
    String description "month of year, GMT time , i.e. 01-12";
    String ioos_category "Time";
    String long_name "Month Gmt";
  }
  day_gmt {
    String description "day, GMT time e.g. 22.";
    String ioos_category "Time";
    String long_name "Day Gmt";
  }
  time_gmt {
    String description "time of day, reported in GMT time, 24 hour clock";
    String ioos_category "Time";
    String long_name "Time Gmt";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -69.296, -67.1153;
    String axis "Y";
    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 standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -74.908, -68.59497;
    String axis "X";
    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 standard_name "longitude";
    String units "degrees_east";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"During the July-September 2001 Southern Globec cruises of the Palmer and Gould
we installed four buoys. Two of the buoys (07413, 07440) were standard off-
the-shelf Met-Ocean Ice buoys (see above photograph). These buoys measured
barometric pressure, air temperature, and GPS position. The data were
transmitted via ARGOS. A radar reflector was mounted on a wooden 4 x 4 to help
find the site if there was an opportunity to return, however the reflector
return was difficult to discern among all the backscatter clutter caused by
deformed ice and icebergs.
 
The other two buoys (07949, 07950) were custom made CRREL ice mass balance
buoys (photo on right). These buoys reported barometric pressure, Argos
position, and air temperature. In addition they had a thermistor string that
measured a vertical profile of temperature, at 10 cm spacing, from the air,
through the snow and ice, and into the upper ocean. There were acoustic
sensors measuring the positions of the snow surface and ice bottom. A
fluorometer was mounted under the ice. One of the buoys (07949) had three
spectroradiometers; one mounted about the ice, one mounted directly below the
ice, and one a few meters deep in the upper ocean. Results from all buoys are
compared.
 
Tracks from all 2001 buoys:";
    String awards_0_award_nid "54688";
    String awards_0_award_number "ANT-9910098";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9910098";
    String awards_0_funder_name "NSF Antarctic Sciences";
    String awards_0_funding_acronym "NSF ANT";
    String awards_0_funding_source_nid "369";
    String awards_0_program_manager "Dr Roberta Marinelli";
    String awards_0_program_manager_nid "51469";
    String cdm_data_type "Other";
    String comment 
"Autonomous buoy position data from Southern Ocean GLOBEC 
  PI: C. Fritsen 
  data version 2: 31 Dec 2004";
    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 2.2d  13 Jun 2019";
    String date_created "2010-06-16T20:40:39Z";
    String date_modified "2019-01-28T15:27:52Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.3114.2";
    Float64 Easternmost_Easting -68.59497;
    Float64 geospatial_lat_max -67.1153;
    Float64 geospatial_lat_min -69.296;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -68.59497;
    Float64 geospatial_lon_min -74.908;
    String geospatial_lon_units "degrees_east";
    String history 
"2019-08-19T18:32:26Z (local files)
2019-08-19T18:32:26Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_3114.das";
    String infoUrl "https://www.bco-dmo.org/dataset/3114";
    String institution "BCO-DMO";
    String instruments_0_acronym "BDFT";
    String instruments_0_dataset_instrument_description "Two of the buoys (07413, 07440) were standard off-the-shelf Met-Ocean Ice buoys.These buoys measured barometric pressure, air temperature, and GPS position. The data were transmitted via ARGOS. The other two buoys (07949, 07950) were custom made CRREL ice mass balance buoys (photo on right). These buoys reported barometric pressure, Argos position, and air temperature. In addition they had a thermistor string that measured a vertical profile of temperature. There were acoustic sensors measuring the positions of the snow surface and ice bottom. A fluorometer was mounted under the ice. One of the buoys (07949) had three spectroradiometers; one mounted about the ice, one mounted directly below the ice, and one a few meters deep in the upper ocean.";
    String instruments_0_dataset_instrument_nid "4866";
    String instruments_0_description "Drifter buoy to include the Beardsley Drifter.  Generic drifter buoys may be surface or sub-surface buoys that move with the current.  They have a variety of instruments attached, providing a platform that allows for the measurement of surface drifts, air pressure and other variables.  The Beardsley Drifters  are near-surface satellite-tracked drifters used for observations of circulation patterns.  They are WOCE-style drifters featuring holey sock drogues. Each drifter has a small (~ 30 cm diameter) surface float with ARGOS transmitter and batteries tethered to a holey sock drogue centered at 15 m below the surface. The drogue, about 10 m tall and 1 m in diameter, is designed to \"lock\" itself to the water so that the surface float follows the mean water motion at 15 m depth with very little slippage even in high winds. Thus measuring the drifter's position as a function of time provides a Lagrangian measurement of the 15-m ocean current. (http://globec.whoi.edu/jg/info/globec/soglobec/drifters_argos%7Bdir=globec.whoi.edu/jg/dir/globec/soglobec/,data=globec.whoi.edu:80/jg/serv/globec/soglobec/drifters_argos.html1%7D?)   WOCE-drifters: https://www.nodc.noaa.gov/woce/woce_v3/wocedata_1/diu_summaries/svp/index.htm";
    String instruments_0_instrument_name "Drifter Buoy";
    String instruments_0_instrument_nid "424";
    String instruments_0_supplied_name "Drifter Buoy";
    String keywords "bco, bco-dmo, biological, buoy, buoy_id, chemical, data, dataset, date, day, day_gmt, dmo, erddap, identifier, inst, latitude, longitude, management, month, month_gmt, oceanography, office, preliminary, time, time_gmt, year, yrday, yrday_gmt";
    String license 
"The data may be used and redistributed for free but is not intended
for legal use, since it may contain inaccuracies. Neither the data
Contributor, ERD, NOAA, nor the United States Government, nor any
of their employees or contractors, makes any warranty, express or
implied, including warranties of merchantability and fitness for a
particular purpose, or assumes any legal liability for the accuracy,
completeness, or usefulness, of this information.";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3114";
    Float64 Northernmost_Northing -67.1153;
    String param_mapping "{'3114': {'lat': 'master - latitude', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3114/parameters";
    String people_0_affiliation "University of California-Santa Cruz";
    String people_0_affiliation_acronym "UC Santa Cruz";
    String people_0_person_name "Dr Daniel P. Costa";
    String people_0_person_nid "50488";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Desert Research Institute";
    String people_1_affiliation_acronym "DRI";
    String people_1_person_name "Dr Chris H. Fritsen";
    String people_1_person_nid "50502";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Nancy Copley";
    String people_2_person_nid "50396";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "U.S. GLOBEC Southern Ocean, GLOBEC: Sea Ice Microbial Communities";
    String projects_0_acronym "SOGLOBEC";
    String projects_0_description "The fundamental objectives of United States Global Ocean Ecosystems Dynamics (U.S. GLOBEC) Program are dependent upon the cooperation of scientists from several disciplines. Physicists, biologists, and chemists must make use of data collected during U.S. GLOBEC field programs to further our understanding of the interplay of physics, biology, and chemistry. Our objectives require quantitative analysis of interdisciplinary data sets and, therefore, data must be exchanged between researchers. To extract the full scientific value, data must be made available to the scientific community on a timely basis.";
    String projects_0_geolocation "Southern Ocean";
    String projects_0_name "U.S. GLOBEC Southern Ocean";
    String projects_0_project_nid "2039";
    String projects_0_project_website "http://www.ccpo.odu.edu/Research/globec_menu.html";
    String projects_0_start_date "2001-01";
    String projects_1_acronym "Sea Ice Microbes";
    String projects_1_description "The U.S. Global Ocean Ecosystems Dynamics (U.S. GLOBEC) program has the goal of understanding and ultimately predicting how populations of marine animal species respond to natural and anthropogenic changes in climate. Research in the Southern Ocean (SO) indicates strong coupling between climatic processes and ecosystem dynamics via the annual formation and destruction of sea ice. The Southern Ocean GLOBEC Program (SO GLOBEC) will investigate the dynamic relationship between physical processes and ecosystem responses through identification of critical parameters that affect the distribution, abundance and population dynamics of target species. The overall goals of the SO GLOBEC program are to elucidate shelf circulation processes and their effect on sea ice formation and krill distribution, and to examine the factors which govern krill survivorship and availability to higher trophic levels, including penguins, seals and whales. The focus of the U.S. contribution to the international SO GLOBEC program will be on winter processes. This component will focus on the distribution and activities of sea ice microbial communities. This will be accomplished using an integrated combination of sampling (vertical profiles, horizontal surveys, and under-ice surveys) and observational protocols. Experiments will be designed to estimate microbial activity within the sea ice and at the ice-seawater interface. The research will be coordinated with components studying the water column productivity and the sea ice habitat. The result of the integrated SO GLOBEC program will be to improve the predictability of living marine resources, especially with respect to local and global climatic shifts.";
    String projects_1_end_date "2005-08";
    String projects_1_geolocation "Southern Ocean";
    String projects_1_name "GLOBEC: Sea Ice Microbial Communities";
    String projects_1_project_nid "616163";
    String projects_1_start_date "2000-09";
    String publisher_name "Nancy Copley";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -69.296;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String subsetVariables "year";
    String summary "Autonomous buoy position data from Southern Ocean GLOBEC from ARSV Laurence M. Gould LMG0106 in the Southern Ocean from July 2001.";
    String title "Autonomous buoy position data from Southern Ocean GLOBEC from ARSV Laurence M. Gould LMG0106 in the Southern Ocean from July 2001";
    String version "2";
    Float64 Westernmost_Easting -74.908;
    String xml_source "osprey2erddap.update_xml() v1.5-beta";
  }
}

 

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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