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Dataset Title:  BIOMAPERII environmental data from the acoustics data stream from RVIB
Nathaniel B. Palmer cruises NBP0103, NBP0104, NBP0202, and NBP0204 in the
Southern Ocean from 2001-2002 (SOGLOBEC project)
  RSS
Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2354)
Range: longitude = -77.76756 to 674.1029°E, latitude = -69.5261 to 67.76667°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 {
  cruiseid {
    String description "cruise identification, e.g. NBP0204, for Nathaniel B. Palmer cruise 0204";
    String ioos_category "Unknown";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2001, 2002;
    String description "year, local time, e.g. 2004";
    String ioos_category "Time";
    String long_name "Year";
  }
  brief_desc {
    String description "brief cruise description, such as broad-scale, process, mooring, etc.";
    String ioos_category "Unknown";
    String long_name "Brief Desc";
  }
  tow {
    String description "tow number";
    String ioos_category "Unknown";
    String long_name "Tow";
  }
  day_local {
    String description "day, local time (01-31)";
    String ioos_category "Time";
    String long_name "Day Local";
  }
  month_local {
    Byte _FillValue 127;
    Byte actual_range 4, 9;
    String description "month, local time (1-12)";
    String ioos_category "Time";
    String long_name "Month Local";
  }
  station {
    String description "station number, from event log";
    String ioos_category "Identifier";
    String long_name "Station";
  }
  station_std {
    String description "standard station number, from event log";
    String ioos_category "Unknown";
    String long_name "Station Std";
  }
  yrday_local {
    Float64 _FillValue NaN;
    Float64 actual_range 103.407674, 255.618264;
    String description "local day and decimal time";
    String ioos_category "Unknown";
    String long_name "Yrday Local";
    String units "YYY.Y";
  }
  time_local {
    String description "local time using 24 hour clock and fractions of the minute.";
    String ioos_category "Time";
    String long_name "Time Local";
    String units "HHmm.m";
  }
  press {
    Float64 _FillValue NaN;
    Float64 actual_range -188.86, 393.02;
    String description "depth of sample/data point, given as pressure";
    String ioos_category "Unknown";
    String long_name "Press";
    String units "decibars";
  }
  temp {
    String description "temperature of water";
    String ioos_category "Temperature";
    String long_name "Temperature";
    String units "degrees C.";
  }
  potemp {
    String description "potential temperature, theta�";
    String ioos_category "Unknown";
    String long_name "Potemp";
    String units "degrees C";
  }
  sal {
    String description "salinity,  PSS-78";
    String ioos_category "Unknown";
    String long_name "Sal";
    String units "dimensionless";
  }
  sigma_0 {
    String description "potential density, sigma-theta�";
    String ioos_category "Unknown";
    String long_name "Sigma 0";
    String units "kg/m&sup3";
  }
  flvolt {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5.1676;
    String description "fluorescence (0-5 volts)";
    String ioos_category "Unknown";
    String long_name "Flvolt";
    String units "volts";
  }
  angle {
    String description "angle of tow body relative to vertical (0-89 degrees)";
    String ioos_category "Unknown";
    String long_name "Angle";
  }
  vtvel {
    String description "vertical tow velocity, meters/minute";
    String ioos_category "Unknown";
    String long_name "Vtvel";
    String units "m/min";
  }
  beam_c {
    String description "beam attenuation coefficient";
    String ioos_category "Unknown";
    String long_name "Beam C";
    String units "/meter-1";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -69.5261, 67.766667;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, negative = South";
    String ioos_category "Location";
    String long_name "Latitude";
    Float64 missing_value -999.0;
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -77.767565, 674.102923;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, negative = West";
    String ioos_category "Location";
    String long_name "Longitude";
    Float64 missing_value -999.0;
    String standard_name "longitude";
    String units "degrees_east";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"These data are from the Environmental Sensing System (ESS) a component of the
BIO -Optical Multi-frequency Acoustical and Physical Environmental Recorder
(BIOMAPER II)1 data acquisition system.";
    String awards_0_award_nid "54773";
    String awards_0_award_number "ANT-9910307";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9910307";
    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 
"Displayed by /data/dallison/bmp_ess_so/mocpro_level1.pl, V1.12/February 7, 2011 
   For /data12/sodata/nbp0103/bmp_ess, BMPII, PRO, NBP0103, 2001 
 Displayed by /data/dallison/bmp_ess_so/mocpro_level2.pl, V1.00so/May 9, 2003 
    Using data file /data12/sodata/nbp0103/bmp_ess/B4290930.PRO 
  Tow: bm3-03   NBP0103 
  Date: 29 April 2001 
  Temperature Probe #  2072  Conductivity Probe #  1855 
  Pressure Probe #  124 Oxygen Probe #  130349 
  Transmissometer #   679 Fluorometer #  1";
    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 "2009-11-25T16:52:09Z";
    String date_modified "2019-03-04T19:47:15Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.2354.1";
    Float64 Easternmost_Easting 674.102923;
    Float64 geospatial_lat_max 67.766667;
    Float64 geospatial_lat_min -69.5261;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max 674.102923;
    Float64 geospatial_lon_min -77.767565;
    String geospatial_lon_units "degrees_east";
    String history 
"2019-08-19T03:38:29Z (local files)
2019-08-19T03:38:29Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2354.das";
    String infoUrl "https://www.bco-dmo.org/dataset/2354";
    String institution "BCO-DMO";
    String instruments_0_acronym "BIOMAPERII";
    String instruments_0_dataset_instrument_description "BIOMAPERII is a towed package consisting of a number of independent observational components";
    String instruments_0_dataset_instrument_nid "4149";
    String instruments_0_description "BIOMAPER II is a set of sensors on a long aluminum frame that resembles the tail of a World War II airplane. A research vessel tows the instrument through the water on a specialized tow cable that sends power to the sensors and brings data back to the ship. People use BIOMAPER II to learn about phytoplankton and zooplankton over areas that are too large to study with the traditional net-and-microscope method. Whereas nets can sample areas up to about 5 meters (16 feet) on a side, BIOMAPER II can record data from 500 meters (1,640 feet) or more of the water column at a time. The instrument's standard suite of sensors were chosen for studying plankton: a five-frequency sonar system, a video plankton recorder and an environmental sensor system (ESS, like the one on MOCNESS). The ESS measures water temperature, salinity, oxygen, chlorophyll and light levels. BIOMAPER II also has room for attaching other instruments for specific uses. The instrument's official name is BIOMAPER-II: the BIo-Optical Multi-frequency Acoustical and Physical Environmental Recorder. The Roman numeral II indicates that it's a redesign of the original BIOMAPER, a prototype that was invented and tested in the mid 1990s. (more information).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0007/";
    String instruments_0_instrument_name "BIo-Optical Multi-frequency Acoustical and Physical Environmental Recorder II";
    String instruments_0_instrument_nid "409";
    String instruments_0_supplied_name "BIo-Optical Multi-frequency Acoustical and Physical Environmental Recorder II";
    String keywords "altimetry, angle, bco, bco-dmo, beam, beam_c, biological, brief, brief_desc, chemical, cruiseid, data, dataset, day, day_local, depth, desc, dmo, erddap, flvolt, identifier, laboratory, latitude, local, longitude, management, month, month_local, oceanography, office, potemp, preliminary, press, profiler, sal, salinity, salinity-temperature-depth, satellite, sigma, sigma_0, station, station_std, std, temperature, time, time_local, tow, vtvel, year, yrday, yrday_local";
    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/2354";
    Float64 Northernmost_Northing 67.766667;
    String param_mapping "{'2354': {'lat': 'master - latitude', 'press': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2354/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Dr Peter H. Wiebe";
    String people_0_person_nid "50454";
    String people_0_role "Principal Investigator";
    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 "Ms Dicky Allison";
    String people_1_person_nid "50382";
    String people_1_role "BCO-DMO Data Manager";
    String people_1_role_type "related";
    String project "U.S. GLOBEC Southern Ocean, GLOBEC: Winter Distribution and Success of Southern Ocean Krill";
    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 "Southern Ocean Krill";
    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 juvenile and adult krill and mesozooplankton prey distribution and abundance using a sophisticated instrument package, BIOMAPPER II, which is equipped with an acoustic backscatter sonar system, a video plankton recorder and an environmental sensor system. The system is used in large-scale studies. Additionally, a remotely-operative vehicle will be used to map the distribution and behavior of krill under ice. 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 "2005-09";
    String projects_1_geolocation "Southern Ocean";
    String projects_1_name "GLOBEC: Winter Distribution and Success of Southern Ocean Krill";
    String projects_1_project_nid "616193";
    String projects_1_start_date "2000-10";
    String publisher_name "Ms Dicky Allison";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -69.5261;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String subsetVariables "brief_desc";
    String summary "BIOMAPERII environmental data from the acoustics data stream from RVIB Nathaniel B. Palmer cruises NBP0103, NBP0104, NBP0202, and NBP0204 in the Southern Ocean from 2001-2002 (SOGLOBEC project)";
    String title "BIOMAPERII environmental data from the acoustics data stream from RVIB Nathaniel B. Palmer cruises NBP0103, NBP0104, NBP0202, and NBP0204 in the Southern Ocean from 2001-2002 (SOGLOBEC project)";
    String version "1";
    Float64 Westernmost_Easting -77.767565;
    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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