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Dataset Title:  BIOMAPERII environmental data from the Video Plankton Recorder (VPR) data
stream from RVIB Nathaniel B. Palmer cruises NBP0103 and NBP0104 in the
Southern Ocean from 2001 (SOGLOBEC project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2355)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Subset | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
   or a List of Values ?
   Maximum ?
 
 cruiseid ?          "NBP0103"    "NBP0104"
 year ?      
   - +  ?
 yrday0_gmt (YYY.Y) ?          118.5636    236.4403
 month_gmt ?          "04"    "08"
 day_gmt ?          "01"    "31"
 time_gmt (HHmm.m) ?          "0000"    "2359.9"
 latitude (degrees_north) ?          -69.5241    -65.6567
  < slider >
 longitude (degrees_east) ?          -77.7672    -67.6572
  < slider >
 press (decibars) ?          -250.0    249.992
 potemp (deg.C) ?          -1.9997    1.9989
 sal (dimensionless) ?          33.0    34.699
 sigma_0 (kg/m3) ?          26.492    27.799
 flvolt (volts) ?          4.0E-4    0.6982
 light_trans (volts) ?          0.0    33.3395
 depth_w (Depth, meters) ?          0.0    5006.2
 
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.Hover here to see a list of options. Click on an option to select it.")

File type: (more info)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "cruise identification";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2001, 2001;
    String bcodmo_name "year";
    String description "year, i.e. 2001, GMT";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
  }
  yrday0_gmt {
    Float32 _FillValue NaN;
    Float32 actual_range 118.5636, 236.4403;
    String bcodmo_name "yrday0_gmt";
    String description "Year day where Jan 1 = year day 0, GMT";
    String long_name "Yrday0 Gmt";
    String units "YYY.Y";
  }
  month_gmt {
    String bcodmo_name "month_gmt";
    String description "month of year, GMT, i.e. 01-12";
    String long_name "Month Gmt";
  }
  day_gmt {
    String bcodmo_name "day_gmt";
    String description "day of month, GMT, i.e. 01-31";
    String long_name "Day Gmt";
  }
  time_gmt {
    String bcodmo_name "time_gmt";
    String description "time of day, GMT";
    String long_name "Time Gmt";
    String units "HHmm.m";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -69.5241, -65.6567;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, negative = South";
    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 -77.7672, -67.6572;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, negative = West";
    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";
  }
  press {
    Float64 _FillValue NaN;
    Float64 actual_range -250.0, 249.992;
    String bcodmo_name "pressure";
    String description "depth of sample/data point, reported as pressure";
    String long_name "Press";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
    String units "decibars";
  }
  potemp {
    Float32 _FillValue NaN;
    Float32 actual_range -1.9997, 1.9989;
    String bcodmo_name "potemp";
    String description "potential temperature";
    String long_name "Potemp";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/POTMCV01/";
    String units "deg.C";
  }
  sal {
    Float32 _FillValue NaN;
    Float32 actual_range 33.0, 34.699;
    String bcodmo_name "sal";
    String description "salinity, PSS";
    String long_name "Sal";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "dimensionless";
  }
  sigma_0 {
    Float32 _FillValue NaN;
    Float32 actual_range 26.492, 27.799;
    String bcodmo_name "sigma_0";
    String description "potental density (sigma theta)";
    String long_name "Sigma 0";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
    String units "kg/m3";
  }
  flvolt {
    Float32 _FillValue NaN;
    Float32 actual_range 4.0e-4, 0.6982;
    String bcodmo_name "fluor voltage";
    String description "fluorescence (volts 0-5)";
    String long_name "Flvolt";
    String units "volts";
  }
  light_trans {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 33.3395;
    String bcodmo_name "trans_v";
    String description "light transmission, reported as volts";
    String long_name "Light Trans";
    String units "volts";
  }
  depth_w {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5006.2;
    String bcodmo_name "depth_w";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "water depth in meters";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
 }
  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.
 
BIOMAPERII is a towed package consisting of a number of independent
observational components: a multi-frequency sonar (Acoustics) system, a video
plankton recorder (VPR) system, and an environmental sensor system (ESS). The
incoming ESS environmental data is split into two data streams, one to be
merged with the VPR data and one to be merged with the Acoustics data. There
are times when either the Acoustic or VPR systems may be turned off. Thus,
there is a independent ESS data set to support the Acoustic or VPR data
streams.
 
These data are preliminary. Large outliers in the data have been removed. No
comparison has been made with the data reported from the vertical CTD or water
bottle stations. The depth data are very noisy because the instrument was
sending out lots of spurious information and there has been no attempt to
smooth it.";
    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 
"BiomaperII environmental data from VPR data stream - Southern Ocean GLOBEC 
 Carin Ashjian, PI";
    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 "2009-11-25T16:50:53Z";
    String date_modified "2019-03-04T19:52:28Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.2355.1";
    Float64 Easternmost_Easting -67.6572;
    Float64 geospatial_lat_max -65.6567;
    Float64 geospatial_lat_min -69.5241;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -67.6572;
    Float64 geospatial_lon_min -77.7672;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-03-29T01:40:37Z (local files)
2024-03-29T01:40:37Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2355.html";
    String infoUrl "https://www.bco-dmo.org/dataset/2355";
    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 "4150";
    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, bco, bco-dmo, biological, chemical, cruiseid, data, dataset, day, day_gmt, depth, depth_w, dmo, erddap, flvolt, laboratory, latitude, light, light_trans, longitude, management, month, month_gmt, oceanography, office, potemp, preliminary, press, sal, satellite, sigma, sigma_0, time, time_gmt, trans, year, yrday0, yrday0_gmt";
    String license "https://www.bco-dmo.org/dataset/2355/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2355";
    Float64 Northernmost_Northing -65.6567;
    String param_mapping "{'2355': {'lat': 'master - latitude', 'press': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2355/parameters";
    String people_0_affiliation "Woods Hole Oceanographic Institution";
    String people_0_affiliation_acronym "WHOI";
    String people_0_person_name "Carin J. Ashjian";
    String people_0_person_nid "50381";
    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 "SOGLOBEC,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 "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -69.5241;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String subsetVariables "year";
    String summary "BIOMAPERII environmental data from the Video Plankton Recorder (VPR) data stream from RVIB Nathaniel B. Palmer cruises NBP0103 and NBP0104 in the Southern Ocean from 2001 (SOGLOBEC project)";
    String title "BIOMAPERII environmental data from the Video Plankton Recorder (VPR) data stream from RVIB Nathaniel B. Palmer cruises NBP0103 and NBP0104 in the Southern Ocean from 2001 (SOGLOBEC project)";
    String version "1";
    Float64 Westernmost_Easting -77.7672;
    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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