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Dataset Title:  Zooplankton abundance and stages from MOCNESS nets from the RVIB Nathaniel B.
Palmer from the Southern Ocean, 2001-2002 (SOGLOBEC project, Southern Ocean
Krill project)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_2387)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 cruiseid ?          "NBP0103"    "NBP0204"
 year ?          2001    2002
 station ?          "13"    "test"
 tow ?          "1"    "9"
 month_local ?          "04"    "09"
 day_local ?          "01"    "31"
 time_local (HHmm) ?          "0022"    "2221"
 event ?          "NBP10502.003"    "nbp12502.015"
 latitude (degrees_north) ?          -69.243    -65.147
  < slider >
 longitude (degrees_east) ?          -75.603    -65.529
  < slider >
 depth_w (Depth, meters) ?          "180"    "850"
 region ?          "Crystal_Sound"    "w_Adelaide_I."
 yrday_local ?          104.097    253.802
 net ?          1    8
 depth_open (Depth, meters) ?          9    1000
 depth (m) ?          0.0    800.0
  < slider >
 depth_mid (Depth, meters) ?          5.0    900.0
 vol_filt (meters3) ?          72.1    1577.0
 displ_vol (milliliters) ?          0.2    492.0
 taxon_group ?          "Copepoda"    "Other_Zooplankton"
 taxon ?          "Actinopods"    "Unidentified"
 stage ?          "C"    "lt_15mm"
 abundance (number per meter3) ?          0.0    253.9299
 comments (unitless) ?          "1 egg; 1 larva; re..."    "variants in telson..."
 
Server-side Functions ?
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? ("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.")

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  cruiseid {
    String bcodmo_name "cruiseid";
    String description "Cruise identifier (NBP0103, NBP0104, NBP0202, NBP0204)";
    String long_name "Cruiseid";
  }
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 2001, 2002;
    String bcodmo_name "year";
    String description "Year of cruise";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
  }
  station {
    String bcodmo_name "station";
    String description "Station number or designation (e.g.  MB = Marguerite Bay)";
    String long_name "Station";
  }
  tow {
    String bcodmo_name "tow";
    String description "Net tow number";
    String long_name "Tow";
  }
  month_local {
    String bcodmo_name "month_local";
    String description "Month of year, local time";
    String long_name "Month Local";
  }
  day_local {
    String bcodmo_name "day_local";
    String description "Day of month, local time";
    String long_name "Day Local";
  }
  time_local {
    String bcodmo_name "time_local";
    String description "Time local, GMT = local time +4 hours";
    String long_name "Time Local";
    String units "HHmm";
  }
  event {
    String bcodmo_name "event";
    String description "Event number from cruise event log; unique ID";
    String long_name "Event";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range -69.243, -65.147;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude at beginning of net tow, 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 -75.603, -65.529;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude at beginning of net tow, 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";
  }
  depth_w {
    String bcodmo_name "depth_w";
    String description "Depth of water";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  region {
    String bcodmo_name "region";
    String description "Geographic region";
    String long_name "Region";
  }
  yrday_local {
    Float32 _FillValue NaN;
    Float32 actual_range 104.097, 253.802;
    String bcodmo_name "yrday_local";
    String description "local day and decimal time, as 326.5 for the 326th day of the year, or November 22, at 1200 hours (noon)";
    String long_name "Yrday Local";
  }
  net {
    Byte _FillValue 127;
    Byte actual_range 1, 8;
    String bcodmo_name "net";
    String description "Net number";
    String long_name "Net";
  }
  depth_open {
    Int16 _FillValue 32767;
    Int16 actual_range 9, 1000;
    String bcodmo_name "depth_open";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth each net was opened";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 800.0;
    String axis "Z";
    String bcodmo_name "depth_close";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth each net was closed";
    String ioos_category "Location";
    String long_name "Depth";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  depth_mid {
    Float32 _FillValue NaN;
    Float32 actual_range 5.0, 900.0;
    String bcodmo_name "depth_mid";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Mid-depth of strata that each net sampled";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters";
  }
  vol_filt {
    Float32 _FillValue NaN;
    Float32 actual_range 72.1, 1577.0;
    String bcodmo_name "vol_filt";
    String description "Volume of water filtered by each net";
    String long_name "Vol Filt";
    String units "meters3";
  }
  displ_vol {
    Float32 _FillValue NaN;
    Float32 actual_range 0.2, 492.0;
    String bcodmo_name "disp_vol";
    String description "Sample displacement volume1 (biovolume)";
    String long_name "Displ Vol";
    String units "milliliters";
  }
  taxon_group {
    String bcodmo_name "unknown";
    String description "Taxonomic group (Euphausiids, Copepods, Other Zooplankton)";
    String long_name "Taxon Group";
  }
  taxon {
    String bcodmo_name "taxon";
    String description "Scientific name of organism or common name of group";
    String long_name "Taxon";
  }
  stage {
    String bcodmo_name "stage";
    String description "Life history stage, size class or gender e.g.: CV = copepodite stage V  C3 = calyptopis stage 3  F2 = furcilia stage 2  lt_15mm = size class less than 15 mm  gt_15mm = size class greater than 15 mm  male  female";
    String long_name "Stage";
  }
  abundance {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 253.9299;
    String bcodmo_name "unknown";
    String description "Density of individuals within stage/size interval. Calculated as:   num_counted * samp_fraction_denom / vol_filt";
    String long_name "Abundance";
    String units "number per meter3";
  }
  comments {
    String bcodmo_name "comment";
    String description "comments pertaining to the taxon in the record";
    String long_name "Comments";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
    String acquisition_description 
"Zooplankton abundance, vertical and horizontal distribution, and population
structure were assessed using a 1 m^2 Multiple Opening and Closing Nets and
Environmental Sampling System (MOCNESS) with nine nets having 333 um mesh and
environmental sensors of temperature, salinity and depth. The entire water
column was sampled on the downcast using net # 0, which was not analyzed here.
The water column was typically sampled from close to the bottom at stations on
the shelf where depths were less than 1000 m, or to 1000m at stations off the
shelf where depths were often from 3000 to 4000 m. Nets 1 through 8 sampled
from various depth intervals to the surface with smaller strata near the
surface. Several tows targeted krill swarms by towing in a single strata.
Approximate locations of broadscale study stations are shown in Figs. 1-4,
below.
 
Zooplankton samples were immediately preserved in 5% buffered formalin
solution. In 2006, the samples were sent to the Atlantic Reference Centre,
Huntsman Marine Science Centre, St. Andrews, New Brunswick, Canada to be
sorted. All the large organisms (>15 mm) in the sample were removed and
identified to taxa. The sample was then split to about 100 individuals of
euphausiids. All euphausiids in the split were identified to species and life
history stage. Next, the sample was split to about 100 individuals of
copepods. Copepods were identified to species and life history stage (female,
male, copepodite V, or\\u00a0other copepodite). All other zooplankton in the
split were identified to taxa and counted. For the Euchaetidae, we followed
the designation of Park (1994) who ascribed the Antarctic species to the genus
Paraeuchaeta. This data object ('zooabund_nbp') reports the counts of
zooplankton per subsample/split by taxa and life stage or size class. The
companion data object 'zooabund_lmg' reports similar for the MOCNESS samples
collected on the L.M. Gould cruises and data object 'krill' reports the
abundance of each euphausiid species by life stage and size class, also on the
L. M. Gould.
 
Displacement volume measurement:  
 Entire sample plus liquid was measured in a large graduated cylinder then
poured through a sieve into a second cylinder. The difference in volume is the
displacement volume.
 
Greenwich Mean Time was local time + 4 hours.
 
[](\\\\\"http://globec.whoi.edu/images/NBP0103_TowPositions.png\\\\\")
 
Fig. 1. NBP-0103: Locations for the oblique MOCNESS tows taken in austral fall
2001 as part of the broad-scale survey (solid dots) and the horizontal tows
taken in krill patches in Marguerite Bay (asterisks).
 
[](\\\\\"http://globec.whoi.edu/images/NBP0104_TowPositions.png\\\\\")
 
Fig. 2. NBP-0104: Locations for the oblique MOCNESS tows taken in austral
winter 2001 as part of the broad-scale survey.
 
[](\\\\\"http://globec.whoi.edu/images/NBP0202_TowPositions.png\\\\\")
 
Fig. 3. NBP-0202: Locations for the oblique MOCNESS tows taken in austral fall
2002 as part of the broad-scale survey.
 
[](\\\\\"http://globec.whoi.edu/images/NBP0204_TowPositions.png\\\\\")
 
Fig. 4. NBP-0204: Locations for the oblique MOCNESS tows taken in austral
winter 2002 as part of the broad-scale survey.";
    String awards_0_award_nid "54687";
    String awards_0_award_number "ANT-0523332";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0523332";
    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 awards_1_award_nid "54773";
    String awards_1_award_number "ANT-9910307";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9910307";
    String awards_1_funder_name "NSF Antarctic Sciences";
    String awards_1_funding_acronym "NSF ANT";
    String awards_1_funding_source_nid "369";
    String awards_1_program_manager "Dr Roberta Marinelli";
    String awards_1_program_manager_nid "51469";
    String cdm_data_type "Other";
    String comment 
"Zooplankton abundance based on taxa and life stages or size. 
     Southern Ocean MOCNESS species counts and abundance from the 
        N. B. Palmer 2001 and 2002 cruises. 
     Carin Ashjian, PI 
        versions: 
     111609: Replaced blank cells with zeros where no animals were found. (ttw) 
     081023: Corrected NBP0204, M4n1 depth_close, depth_mid and depth_interval (njc) 
     070820: Missing krill counts added (njc) 
     070816: Please note: the counts for euphausiids in NBP0103 and NBP0104 are not correct. 
              Additional animals were counted that are not included in this data. (njc) 
     070807: Correction made to NBP0103 tow-1 net-3 samp_fraction_denom. Changed from 256 to 1.3333 (njc)";
    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 "2010-06-16T20:40:39Z";
    String date_modified "2019-02-06T18:45:43Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.2387.1";
    Float64 Easternmost_Easting -65.529;
    Float64 geospatial_lat_max -65.147;
    Float64 geospatial_lat_min -69.243;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -65.529;
    Float64 geospatial_lon_min -75.603;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 800.0;
    Float64 geospatial_vertical_min 0.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-25T05:19:36Z (local files)
2024-04-25T05:19:36Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2387.html";
    String infoUrl "https://www.bco-dmo.org/dataset/2387";
    String institution "BCO-DMO";
    String instruments_0_acronym "MOC1";
    String instruments_0_dataset_instrument_description "The MOCNESS-1 plankton sampler has nine rectangular nets (1m x 1.4 m) with a mesh size of 0.333 mm, which are opened and closed sequentially by commands through conducting cable from the surface (Wiebe et al., 1976).";
    String instruments_0_dataset_instrument_nid "4154";
    String instruments_0_description "The Multiple Opening/Closing Net and Environmental Sensing System or MOCNESS is a family of net systems based on the Tucker Trawl principle. The MOCNESS-1 carries nine 1-m2 nets usually of 335 micrometer mesh and is intended for use with the macrozooplankton.  All nets are black to reduce contrast with the background.  A motor/toggle release assembly is mounted on the top portion of the frame and stainless steel cables with swaged fittings are used to attach the net bar to the toggle release.  A stepping motor in a pressure compensated case filled with oil turns the escapement crankshaft of the toggle release which sequentially releases the nets to an open then closed position on command from the surface. -- from the MOCNESS Operations Manual (1999 + 2003).";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/";
    String instruments_0_instrument_name "MOCNESS1";
    String instruments_0_instrument_nid "437";
    String instruments_0_supplied_name "MOCNESS1";
    String keywords "abundance, bco, bco-dmo, biological, chemical, comments, cruiseid, data, dataset, day, day_local, depth, depth_close, depth_mid, depth_open, depth_w, displ, displ_vol, dmo, erddap, event, filt, group, latitude, local, longitude, management, month, month_local, net, oceanography, office, preliminary, region, stage, station, taxon, taxon_group, time, time_local, tow, vol, vol_filt, year, yrday, yrday_local";
    String license "https://www.bco-dmo.org/dataset/2387/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/2387";
    Float64 Northernmost_Northing -65.147;
    String param_mapping "{'2387': {'lat': 'master - latitude', 'lon': 'master - longitude', 'depth_close': 'flag - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2387/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";
    String people_1_person_name "Peter H. Wiebe";
    String people_1_person_nid "50454";
    String people_1_role "Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI";
    String people_2_person_name "Nancy Copley";
    String people_2_person_nid "50396";
    String people_2_role "Technician";
    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 "Nancy Copley";
    String people_3_person_nid "50396";
    String people_3_role "BCO-DMO Data Manager";
    String people_3_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 -69.243;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Zooplankton from MOCNESS nets were identified and the net sample displacement volume was measured from the RVIB Nathaniel B. Palmer, Southern Ocean, 2001-2002.";
    String title "Zooplankton abundance and stages from MOCNESS nets from the RVIB Nathaniel B. Palmer from the Southern Ocean, 2001-2002 (SOGLOBEC project, Southern Ocean Krill project)";
    String version "1";
    Float64 Westernmost_Easting -75.603;
    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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