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Dataset Title:  CTD data from MOCNESS tows taken in the Antarctic in 2011 from ARSV Laurence
M. Gould LMG1110 in the Southern Ocean from November to December 2011 (Salp_
Antarctic project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_488871)
Range: longitude = -69.2906 to -53.7512°E, latitude = -64.9837 to -60.5842°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 {
  datatype {
    String description "sampling method - instrument type, e.g. MOCNESS-1 or MOCNESS-10";
    String ioos_category "Unknown";
    String long_name "Datatype";
  }
  cruiseid {
    String description "cruise identification, e.g. LMG1110, for ARSV Gould cruise 1110";
    String ioos_category "Unknown";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2011, 2011;
    String description "year";
    String ioos_category "Time";
    String long_name "Year";
  }
  tow {
    String description "tow number";
    String ioos_category "Unknown";
    String long_name "Tow";
  }
  day_local {
    Byte _FillValue 127;
    Byte actual_range 9, 25;
    String description "day of month, local, 1-31";
    String ioos_category "Time";
    String long_name "Day Local";
  }
  month_local {
    Byte _FillValue 127;
    Byte actual_range 11, 11;
    String description "month of year, local, 1 - 12";
    String ioos_category "Time";
    String long_name "Month Local";
  }
  station {
    Byte _FillValue 127;
    Byte actual_range 1, 23;
    String description "station number, from event log";
    String ioos_category "Identifier";
    String long_name "Station";
  }
  yrday_local {
    Float64 _FillValue NaN;
    Float64 actual_range 313.932025, 330.039861;
    String description "year day as a decimal, based on Julian calendar, local";
    String ioos_category "Unknown";
    String long_name "Yrday Local";
    String units "YYY.Y";
  }
  time_local {
    String description "time, local, using 24 hour clock to decimal minutes";
    String ioos_category "Time";
    String long_name "Time Local";
    String units "HHmm.m";
  }
  press {
    Float64 _FillValue NaN;
    Float64 actual_range -23.8, 2514.4;
    String description "depth of observation or sample";
    String ioos_category "Unknown";
    String long_name "Press";
    String units "decibars";
  }
  altim {
    String description "The Altimeter provides data on the altitude of the net systems above the bottom when the net system is closer to the bottom than to the surface.";
    String ioos_category "Unknown";
    String long_name "Altim";
    String units "meters";
  }
  temp {
    String description "temperature of water";
    String ioos_category "Temperature";
    String long_name "Temperature";
    String units "degrees C";
  }
  potemp {
    String description 
"potential temperature or theta1
1Fofonoff and Millard, 1983, UNESCO technical papers in Marine Sciences, #44";
    String ioos_category "Unknown";
    String long_name "Potemp";
  }
  sal {
    String description "salinity calculated from conductivity, bad values are set to 50";
    String ioos_category "Unknown";
    String long_name "Sal";
  }
  sigma_0 {
    String description "Sigma-theta or potential density11Fofonoff and Millard, 1983, UNESCO technical papers in Marine Sciences, #44";
    String ioos_category "Unknown";
    String long_name "Sigma 0";
  }
  angle {
    String description "angle of net frame relative to vertical (0-89 degrees)";
    String ioos_category "Unknown";
    String long_name "Angle";
    String units "degrees";
  }
  flow {
    String description "consecutive flow counts";
    String ioos_category "Unknown";
    String long_name "Flow";
  }
  hzvel {
    String description "horizontal net velocity";
    String ioos_category "Unknown";
    String long_name "Hzvel";
    String units "m/min";
  }
  vtvel {
    String description "vertical net velocity";
    String ioos_category "Unknown";
    String long_name "Vtvel";
    String units "m/min";
  }
  vol_filt {
    String description "volume filtered";
    String ioos_category "Unknown";
    String long_name "Vol Filt";
    String units "meters^3";
  }
  net {
    String description "MOCNESS net number, (00-08)";
    String ioos_category "Unknown";
    String long_name "Net";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -64.9837, -60.5842;
    String axis "Y";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude, negative = 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 -69.2906, -53.7512;
    String axis "X";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude, negative = 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 
"From the MOCNESS Operating Instruction Manual: \\u00a0\\\"The nets are opened and
closed sequentially by commands through a single conductor armored cable from
the surface. \\u00a0The electronics has 16-bits of resolution and the basic
data stream consists of temperature, depth, conductivity, frame angle, flow
counts, net number and net response. \\u00a0An acquisition/controller computer
retrieves data from the underwater unit at a rate of up to 4 times a second.
\\u00a0 Temperature (to approximately 0.01 deg C) and conductivity are measured
with SEABIRD sensors. \\u00a0A modified T.S.K. flowmeter is normally used to
measure flow past the net. \\u00a0Both the temperature and salinity sensors and
the flowmeter are attached to brackets which are mounted on the top portion of
the frame so that they face directly into the flow when the frame is at a
towing angle of 45 deg. \\u00a0An electronic pendulum angle transducer measures
the angle of the towed net through the water. \\u00a0A GPS unit providing
latitude and longitude [is] integrated \\u00a0into the data stream.\\\" \\u00a0(p.
7)";
    String awards_0_award_nid "54892";
    String awards_0_award_number "ANT-1044982";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=1044982";
    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 Peter Milne";
    String awards_0_program_manager_nid "51468";
    String cdm_data_type "Other";
    String comment 
"Displayed by /data/Scripts/ctd_mocness/mocpro_level1_conf.pl  
   Version:  V2.1/Nov. 7, 2012 
   For MOC1 data, with filetype=pro 
 Displayed by /data/Scripts/ctd_mocness/mocpro_level2_conf.pl  
   Version: V3.1/November 7, 2012 
   For /data/bco-dmo/salp_antarctic/LMG1110/mocness,  
   MOC1, pro, LMG1110, 2011 
 Displayed by /data/Scripts/ctd_mocness/mocpro_level3_conf.pl_V2.01BC  
   Version: V2.01BC/February 13, 2012 
   Using /data/bco-dmo/salp_antarctic/LMG1110/mocness/M01_001R.PRO 
   
 % Tow: M-01-001   LMG1110 
 Date: 9/11/11 
 Temperature Probe #  1619    Conductivity Probe #  2293 
 Pressure Probe #  156    Oxygen Probe #  1 
 Transmissometer #   407    Altimeter #  1    Irradiance Probe #  1 
 Flow Meter Calibration  6.07 (m/count)";
    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.pl v1.0";
    String date_created "2014-01-29T17:22:10Z";
    String date_modified "2016-10-10T15:34:02Z";
    String defaultDataQuery "&time";
    String doi "10.1575/1912/bco-dmo.661339";
    Float64 Easternmost_Easting -53.7512;
    Float64 geospatial_lat_max -60.5842;
    Float64 geospatial_lat_min -64.9837;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -53.7512;
    Float64 geospatial_lon_min -69.2906;
    String geospatial_lon_units "degrees_east";
    String history 
"2019-06-17T09:34:13Z (local files)
2019-06-17T09:34:13Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_488871.das";
    String infoUrl "https://www.bco-dmo.org/dataset/488871";
    String institution "BCO-DMO";
    String instruments_0_acronym "CTD MOCNESS";
    String instruments_0_dataset_instrument_description "\"The MOCNESS was provided by Raytheon and it was equipped with nine 335-mesh nets. In addition to the standard temperature and conductivity probes it was also equipped with a beta-type strobe unit provided by BESS Co. and a Benthos 200 kHz altimeter. The underwater unit used through the cruise was #156.\" p.33 of Cruise Report LMG1110.";
    String instruments_0_dataset_instrument_nid "488977";
    String instruments_0_description "The CTD part of the MOCNESS includes 1) a pressure (depth) sensor which is a thermally isolated titanium strain gauge with a standard range of 0-5000 decibars full scale, 2) A Sea Bird temperature sensor whose frequency output is measured and sent to the surface for logging and conversion to temperature by the software in the MOCNESS computer (The system allows better than 1 milli-degree resolution at 10 Hz sampling rate), and 3) A Sea Bird conductivity sensor whose output frequency is measured and sent to the surface for logging and conversion to conductivity by the software in the computer (The system allows better than 1 micro mho/cm at 10 Hz sampling rate). The data rate depends on the speed of the computer and the quality of the cable. With a good cable, the system can operate at 2400 baud, sampling all variables at 2 times per second. One sample every 4 seconds is the default, although the hardware can operate much faster. (From The MOCNESS Manual)";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/131/";
    String instruments_0_instrument_name "CTD MOCNESS";
    String instruments_0_instrument_nid "419";
    String instruments_0_supplied_name "CTD MOCNESS";
    String keywords "altim, altimetry, angle, bco, bco-dmo, biological, chemical, cruiseid, data, dataset, datatype, day, day_local, dmo, erddap, filt, flow, hzvel, identifier, laboratory, latitude, local, longitude, management, month, month_local, net, oceanography, office, potemp, preliminary, press, sal, satellite, sigma, sigma_0, station, temperature, time, time_local, tow, vol, vol_filt, 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/488871";
    Float64 Northernmost_Northing -60.5842;
    String param_mapping "{'488871': {'lat': 'master - latitude', 'press': 'flag - depth', 'lon': 'master - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/488871/parameters";
    String people_0_affiliation "University of Connecticut";
    String people_0_affiliation_acronym "UConn - Avery Point";
    String people_0_person_name "Dr Ann Bucklin";
    String people_0_person_nid "50389";
    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 "Population ecology of Salpa thompsoni based on molecular indicators";
    String projects_0_acronym "Salp_Antarctic";
    String projects_0_description 
"The Antarctic salp, Salpa thompsoni, is an increasingly important player in the vulnerable Antarctic Peninsula pelagic ecosystem. Observations of high abundance of Salpa thompsoni during the summer in the Southern Ocean suggest that this species is capable of rapid somatic and population growth, and frequently forms dense blooms under favorable environmental conditions. The proposed research will examine genome-wide patterns of gene expression, target gene expression levels, and patterns of population genetic diversity and structure of the target salp species. Our preliminary results and data analysis have provided a promising basis for transcriptomic studies of S. thompsoni in the Southern Ocean. The proposed next steps in our genomic/transcriptomic analysis of Salpa thompsoni are: 1) completion of a reference transcriptome as a basis for genome-wide analysis of gene expression; 2) whole transcriptome shotgun sequencing (RNA-Seq) analysis to characterize gene expression in relation to individual characteristics and environmental conditions; 3) quantitative real-time PCR (qRT-PCR) characterization and validation of gene expression for 10-20 top differentially-expressed genes; and 4) detection of strand-specific allelic variation at SNP (Single Nucleotide Polymorphic) sites to analyze clonal diversity and population genetic diversity and structure. We hypothesize that: 1) deep analysis of the Salpa thompsoni transcriptome will reveal significant associations among selected set of differentially-expressed genes and critical life history stages and events (e.g., ontogenetic maturation, sexual reproduction, senescence) of the salp; and 2) the species will show variable levels of clonal diversity and significant genetic differentiation among salp populations in different regions of the Southern Ocean. Samples will be obtained from research cruises during 2011-2013 in diverse regions of the Southern Ocean; dedicated sample and data collection will be carried out during a cruise of the R/V LM GOULD (LMG11-10) to the Western Antarctic Peninsula region in November, 2011. The significance of this effort lies in new understanding of the molecular processes underlying the complex life history and population dynamics of S. thompsoni in relation to the Antarctic pelagic ecosystem and extreme and variable environmental conditions of the Southern Ocean.
Most of the data from this project are available from the Marine Geoscience Data System (MGDS), part of IEDA and is available�at http://www.marine-geo.org/tools/search/Files.php?data_set_uid=18148.";
    String projects_0_end_date "2014-05";
    String projects_0_geolocation "Southern Ocean";
    String projects_0_name "Population ecology of Salpa thompsoni based on molecular indicators";
    String projects_0_project_nid "2174";
    String projects_0_start_date "2011-06";
    String publisher_name "Ms Dicky Allison";
    String publisher_role "BCO-DMO Data Manager(s)";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing -64.9837;
    String standard_name_vocabulary "CF Standard Name Table v29";
    String subsetVariables "datatype, cruiseid, year, month_local";
    String summary 
"CTD data collected during the 1 meter2 MOCNESS tows to the Cape Shirreff area
in the Antarctic .\\u00a0 These data are part of the standard suite of
measurements collected during the net tows to provide environmental background
for the animals collected.
 
Fluorescence was not collected during these tows.";
    String title "CTD data from MOCNESS tows taken in the Antarctic in 2011 from ARSV Laurence M. Gould LMG1110 in the Southern Ocean from November to December 2011 (Salp_Antarctic project)";
    String version "1";
    Float64 Westernmost_Easting -69.2906;
    String xml_source "osprey2erddap.update_xml() v1.0-alpha";
  }
}

 

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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