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Dataset Title:  Temperature and salinity data from binned CTD data collected during R/V Hugh
R. Sharp cruise HRS1414 in the Mid and South-Atlantic Bight from July to August
of 2014 (DANCE project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_731502)
Range: longitude = -74.4263 to -71.1622°E, latitude = 33.6435 to 38.7953°N, depth = 0.0 to 155.0m
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 {
  CTD_cast {
    Byte _FillValue 127;
    Byte actual_range 1, 29;
    String bcodmo_name "cast";
    String description "CTD cast number";
    String long_name "CTD Cast";
    String units "unitless";
  }
  date_string {
    String bcodmo_name "unknown";
    String description "CTD cast date and time in format \"yyyy-mm-dd HH:MM\"";
    String long_name "Date String";
    String source_name "date_string";
    String time_precision "1970-01-01T00:00Z";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 33.6435, 38.7953;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "CTD cast 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 -74.4263, -71.1622;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "CTD cast lontitude";
    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";
  }
  matlab_datenumber {
    Float64 _FillValue NaN;
    Float64 actual_range 735811.638738426, 735825.523738426;
    String bcodmo_name "DateTime";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "CTD cast date and time in Matlab datenum format";
    String long_name "Matlab Datenumber";
    String units "unitless";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 155.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Binned depth";
    String ioos_category "Location";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 35.42, 36.62;
    String bcodmo_name "sal";
    String description "Salinity";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "parts per thousand";
  }
  temp {
    Float32 _FillValue NaN;
    Float32 actual_range 14.4, 27.32;
    String bcodmo_name "temperature";
    String description "Temperature";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"CTD casts were conducted\\u00a0using a\\u00a0Sea-Bird SBE-911+ during\\u00a0the
R/V Hugh R. Sharp cruise HRS1414.";
    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 
"Binned CTD data 
  PI: Raymond Najjar Jr. 
  data version 1: 2018-03-23";
    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 "2018-03-23T18:57:57Z";
    String date_modified "2019-08-16T14:06:33Z";
    String defaultDataQuery "&time<now";
    String doi "10.1575/1912/bco-dmo.731502.1";
    Float64 Easternmost_Easting -71.1622;
    Float64 geospatial_lat_max 38.7953;
    Float64 geospatial_lat_min 33.6435;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -71.1622;
    Float64 geospatial_lon_min -74.4263;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 155.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2020-09-28T19:38:52Z (local files)
2020-09-28T19:38:52Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_731502.das";
    String infoUrl "https://www.bco-dmo.org/dataset/731502";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD SBE 911plus";
    String instruments_0_dataset_instrument_nid "731812";
    String instruments_0_description "The Sea-Bird SBE 911plus is a type of CTD instrument package for continuous measurement of conductivity, temperature and pressure.  The SBE 911plus includes the SBE 9plus Underwater Unit and the SBE 11plus Deck Unit (for real-time readout using conductive wire) for deployment from a vessel. The combination of the SBE 9plus and SBE 11plus is called a SBE 911plus.  The SBE 9plus uses Sea-Bird's standard modular temperature and conductivity sensors (SBE 3plus and SBE 4). The SBE 9plus CTD can be configured with up to eight auxiliary sensors to measure other parameters including dissolved oxygen, pH, turbidity, fluorescence, light (PAR), light transmission, etc.). more information from Sea-Bird Electronics";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0058/";
    String instruments_0_instrument_name "CTD Sea-Bird SBE 911plus";
    String instruments_0_instrument_nid "591";
    String keywords "altimetry, bco, bco-dmo, biological, cast, chemical, conductivity, ctd, CTD_cast, data, dataset, date, datenumber, depth, depth_m, dmo, erddap, laboratory, latitude, longitude, management, matlab, matlab_datenumber, oceanography, office, preliminary, sal, satellite, sonde, string, temperature, time";
    String license "https://www.bco-dmo.org/dataset/731502/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/731502";
    Float64 Northernmost_Northing 38.7953;
    String param_mapping "{'731502': {'lat': 'flag - latitude', 'lon': 'flag - longitude', 'depth_m': 'flag - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/731502/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 33.6435;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Temperature and salinity data from binned CTD data collected during R/V Hugh R. Sharp cruise HRS1414 in the Mid and South-Atlantic Bight from July to August of 2014 (DANCE project)";
    String title "Temperature and salinity data from binned CTD data collected during R/V Hugh R. Sharp cruise HRS1414 in the Mid and South-Atlantic Bight from July to August of 2014 (DANCE project)";
    String version "1";
    Float64 Westernmost_Easting -74.4263;
    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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