BCO-DMO ERDDAP
Accessing BCO-DMO data
log in    
Brought to you by BCO-DMO    

ERDDAP > tabledap > Make A Graph ?

Dataset Title:  Temperature and salinity from drifters deployed during R/V Hugh R. Sharp DANCE
cruise HRS1414 in the Mid and South-Atlantic Bight from July to August of
2014 (DANCE project)
Subscribe RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_733965)
Range: longitude = -72.748 to -71.106°E, latitude = 35.51 to 38.686°N, time = 2014-08-01T13:20:59Z to 2014-08-14T16:00:01Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | 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 {
  drifter_id {
    Byte _FillValue 127;
    Byte actual_range 103, 105;
    String bcodmo_name "drifterid";
    String description "Drifting buoy number";
    String long_name "Drifter Id";
    String units "unitless";
  }
  yr {
    Int16 _FillValue 32767;
    Int16 actual_range 2014, 2014;
    String bcodmo_name "year";
    String description "Year (UTC)";
    String long_name "YR";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  mon {
    Byte _FillValue 127;
    Byte actual_range 8, 8;
    String bcodmo_name "month";
    String description "Month (UTC)";
    String long_name "Mon";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "unitless";
  }
  day {
    Byte _FillValue 127;
    Byte actual_range 1, 14;
    String bcodmo_name "day";
    String description "Day (UTC)";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "unitless";
  }
  hr {
    Byte _FillValue 127;
    Byte actual_range 0, 23;
    String bcodmo_name "hour_gmt";
    String description "Hour (UTC)";
    String long_name "HR";
    String units "unitless";
  }
  min {
    Byte _FillValue 127;
    Byte actual_range 0, 49;
    String bcodmo_name "minute_gmt";
    String description "Minute (UTC)";
    String long_name "Min";
    String units "unitless";
  }
  sec {
    Byte _FillValue 127;
    Byte actual_range 0, 59;
    String bcodmo_name "seconds_gmt";
    String description "Second (UTC)";
    String long_name "Sec";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.406899259e+9, 1.408032001e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "ISO timestamp based on the ISO 8601:2004(E) standard in format YYYY-mm-ddTHH:MM:SSZ (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 "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 35.51, 38.686;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude";
    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 -72.748, -71.106;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude";
    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";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range 24.566, 27.638;
    String bcodmo_name "temperature";
    String description "Tempertaure";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
  salt {
    Float32 _FillValue NaN;
    Float32 actual_range 35.764, 36.251;
    String bcodmo_name "sal";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "Salinity";
    String long_name "Sea Water Practical Salinity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "parts per thousand (ppt)";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Methodology:
 
Three drifting buoys (with ID numbers 103, 104, and 105) were deployed during
the cruise to track the position of precipitation-receiving water masses
(eddies) and simultaneously record temperature and salinity. The drifters were
equipped with 10-m drogues and so approximately follow the surface mixed
layer; the sensors were located at the depth of approximately 2 m.
 
Instruments:  
 Model 121 GPS / Iridium drifters by Brightwaters Instruments (BI) with
temperature and salinity sensors
([http://brightwaters.com/products/121/121.htm](\\\\\"http://brightwaters.com/products/121/121.htm\\\\\")).
Model 121 a current following (Lagrangian) drifting buoy, is released in a
body of water and moves with the currents over a period of hours to months.
Onboard electronics acquire a time series of positions using the Global
Position System (GPS) as the drifter moves. Positions and optional sensor data
are telemetered over the worldwide Iridium satellite network and delivered to
the end user via a web browser. The DANCE drifters were configured with the
\\u201cstandard\\u201d size hull, which is approximately 1 meter (40 in.) tall
excluding the antenna mast and weighs about 11 Kg (24 lbs). The Model 121
features a 12 channel GPS receiver and records position to 0.001 minute of
latitude and longitude (1.8 meters). Absolute accuracy of the position is
better than 15 meters worldwide. In areas served by one of three Satellite
Based Augmentation Systems (WAAS in North America, EGNOS in Europe, and MSAS
in East Asia) absolute accuracy is better than 3 meters 2DRMS. BI conductivity
/ temperature sensor: -10 to +40C, resolution 0.01C; 0-60 mmho/cm, resolution
0.01 mmho/cm; full digital sensor with individual calibration yields typical
postprocessed accuracy of 0.05C and 0.05 mmho/cm.";
    String awards_0_award_nid "726327";
    String awards_0_award_number "OCE-1260574";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1260574";
    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 "Henrietta N Edmonds";
    String awards_0_program_manager_nid "51517";
    String cdm_data_type "Other";
    String comment 
"DRIFTERS 
  PI: Raymond Najjar 
  Data version 1: 2018-04-19";
    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 "2018-04-19T19:24:30Z";
    String date_modified "2019-08-16T14:44:44Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.733965.1";
    Float64 Easternmost_Easting -71.106;
    Float64 geospatial_lat_max 38.686;
    Float64 geospatial_lat_min 35.51;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -71.106;
    Float64 geospatial_lon_min -72.748;
    String geospatial_lon_units "degrees_east";
    String history 
"2020-08-11T01:20:43Z (local files)
2020-08-11T01:20:43Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_733965.das";
    String infoUrl "https://www.bco-dmo.org/dataset/733965";
    String institution "BCO-DMO";
    String instruments_0_acronym "BDFT";
    String instruments_0_dataset_instrument_description "Model 121 GPS / Iridium drifters by Brightwaters Instruments (BI) with temperature and salinity sensors (http://brightwaters.com/products/121/121.htm).";
    String instruments_0_dataset_instrument_nid "733969";
    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 "Model 121 GPS / Iridium drifters by Brightwaters Instruments (BI)";
    String instruments_1_dataset_instrument_nid "734007";
    String instruments_1_description "Acquires satellite signals and tracks your location.";
    String instruments_1_instrument_name "GPS receiver";
    String instruments_1_instrument_nid "706037";
    String instruments_1_supplied_name "12 channel GPS receiver";
    String keywords "bco, bco-dmo, biological, chemical, data, dataset, date, day, density, dmo, drifter, drifter_id, earth, Earth Science > Oceans > Salinity/Density > Salinity, erddap, iso, latitude, longitude, management, min, monthly, ocean, oceanography, oceans, office, practical, preliminary, salinity, salt, science, sea, sea_water_practical_salinity, seawater, sec, temperature, time, water";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/733965/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/733965";
    Float64 Northernmost_Northing 38.686;
    String param_mapping "{'733965': {'lat': 'flag - latitude', 'lon': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/733965/parameters";
    String people_0_affiliation "Pennsylvania State University";
    String people_0_affiliation_acronym "PSU";
    String people_0_person_name "Dr Raymond Najjar";
    String people_0_person_nid "50813";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "Pennsylvania State University";
    String people_1_affiliation_acronym "PSU";
    String people_1_person_name "Dr Maria Herrmann";
    String people_1_person_nid "732047";
    String people_1_role "Scientist";
    String people_1_role_type "originator";
    String people_2_affiliation "Pennsylvania State University";
    String people_2_affiliation_acronym "PSU";
    String people_2_person_name "Dr Raymond Najjar";
    String people_2_person_nid "50813";
    String people_2_role "Contact";
    String people_2_role_type "related";
    String people_3_affiliation "Woods Hole Oceanographic Institution";
    String people_3_affiliation_acronym "WHOI BCO-DMO";
    String people_3_person_name "Amber York";
    String people_3_person_nid "643627";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_role_type "related";
    String project "DANCE";
    String projects_0_acronym "DANCE";
    String projects_0_description 
"NSF abstract:
Deposition of atmospheric nitrogen provides reactive nitrogen species that influence primary production in nitrogen-limited regions. Although it is generally assumed that these species in precipitation contributes substantially to anthropogenic nitrogen loadings in many coastal marine systems, its biological impact remains poorly understood. Scientists from Pennsylvania State University, William & Mary College, and Old Dominion University will carry out a process-oriented field and modeling effort to test the hypothesis that deposits of wet atmospheric nitrogen (i.e., precipitation) stimulate primary productivity and accumulation of algal biomass in coastal waters following summer storms and this effect exceeds the associated biogeochemical responses to wind-induced mixing and increased stratification caused by surface freshening in oligotrophic coastal waters of the eastern United States. To attain their goal, the researchers would perform a Lagrangian field experiment during the summer months in coastal waters located between Delaware Bay and the coastal Carolinas to determine the response of surface-layer biogeochemistry and biology to precipitation events, which will be identified and intercepted using radar and satellite data. As regards the modeling effort, a 1-D upper ocean mixing model and a 1-D biogeochemical upper-ocean will be calibrated by assimilating the field data obtained a part of the study using the adjoint method. The hypothesis will be tested using sensitivity studies with the calibrated model combined with in-situ data and results from the incubation experiments. Lastly, to provide regional and historical context for the field measurements and the associated 1-D modeling, linked regional atmospheric-oceanic biogeochemical modeling will be conducted.
Broader Impacts. Results from the study would be incorporated into class lectures for graduate courses on marine policy and marine biogeochemistry. One graduate student from Pennsylvania State University, one graduate student from the College of William and Mary, and one graduate and one undergraduate student from Old Dominion University would be supported and trained as part of this project.";
    String projects_0_end_date "2017-02";
    String projects_0_geolocation "Offshore Mid-Atlantic Bight and northern South-Atlantic Bight between latitudes 31.60°N and 38.89°N, and longitudes 71.09°W and 75.16°W";
    String projects_0_name "Collaborative Research: Impacts of atmospheric nitrogen deposition on the biogeochemistry of oligotrophic coastal waters";
    String projects_0_project_nid "726328";
    String projects_0_start_date "2013-03";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 35.51;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "yr,mon";
    String summary "15-min location, temperature, and salinity data from three drifting buoys deployed during DANCE cruise HRS1414 in the Mid and South-Atlantic Bight from July to August of 2014 (DANCE project)";
    String time_coverage_end "2014-08-14T16:00:01Z";
    String time_coverage_start "2014-08-01T13:20:59Z";
    String title "Temperature and salinity from drifters deployed during R/V Hugh R. Sharp DANCE cruise HRS1414 in the Mid and South-Atlantic Bight from July to August of 2014 (DANCE project)";
    String version "1";
    Float64 Westernmost_Easting -72.748;
    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.


 
ERDDAP, Version 2.02
Disclaimers | Privacy Policy | Contact