Accessing BCO-DMO data
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BCO-DMO ERDDAP
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| Dataset Title: | [zooplankton abund biomass_MOC - nbp] - Zooplankton abundance and biomass from MOCNESS silhouettes, from the RVIB Nathaniel B. Palmer NBP0103, NBP0104 from the Southern Ocean, 2001-2002 (SOGLOBEC project, Southern Ocean Krill project) (U.S. GLOBEC Southern Ocean) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_2389) |
| Range: | longitude = -75.7317 to -65.5287°E, latitude = -69.243 to -65.1467°N, depth = 0.0 to 800.0m |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
| Background
| Data Access Form
| Files
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Zoom: ![[The graph you specified. Please be patient.]](https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_2389.png?longitude,latitude,year&.draw=markers&.marker=5%7C5&.color=0x000000&.colorBar=%7C%7C%7C%7C%7C&.bgColor=0xffccccff)
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Attributes {
s {
cruiseid {
String bcodmo_name "cruiseid";
String description "Cruise Identifier (e.g., LMG0103, NPB0104)";
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/";
}
tow {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 24;
String bcodmo_name "tow";
String description "tow number";
String long_name "Tow";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range -69.243, -65.1467;
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 -75.7317, -65.5287;
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";
}
depth_w {
Int16 _FillValue 32767;
Int16 actual_range 242, 3650;
String bcodmo_name "depth_w";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth of water at the start of tow";
String long_name "Depth";
String standard_name "depth";
String units "meters";
}
net {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 8;
String bcodmo_name "net";
String description "net number (0-8)";
String long_name "Net";
}
depth_open {
Int16 _FillValue 32767;
Int16 actual_range 20, 1000;
String bcodmo_name "depth_open";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth where net is 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 where net is 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 10.0, 900.0;
String bcodmo_name "depth_mid";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "mid-depth of tow";
String long_name "Depth";
String standard_name "depth";
String units "meters";
}
abundance_total {
Float32 _FillValue NaN;
Float32 actual_range 0.4561, 5164.0;
String bcodmo_name "abundance";
String description "total number of all taxa counted";
String long_name "Abundance Total";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
String units "no. per cubic meter per net";
}
biomass_total {
String bcodmo_name "biomass_total";
String description "total wet weight of zooplankton in net";
String long_name "Biomass Total";
String units "milligrams per meter3";
}
taxon {
String bcodmo_name "taxon";
String description "scientific name or common name of organism or group";
String long_name "Taxon";
}
abundance {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 1840.0;
String bcodmo_name "unknown";
String description "number of the specific taxa counted";
String long_name "Abundance";
String units "no. per meter3pernet";
}
biomass {
String bcodmo_name "biomass";
String description "wet weight of the specific taxa in the net";
String long_name "Biomass";
String units "milligrams per meter3";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_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).
Biomass (wet weight) and abundance were determined principally by silhouette
digitization of taxa lengths and conversion to equivalent wet weights
according to the equations and methods adapted from Davis and Wiebe (1985) and
Wiebe et al. (2004). New formulas were calculated for Southern Ocean krill
because the length-weight relationship (Wet Weight = 0.0054*Length3.214)
differed from that of the North Atlantic euphausiids (Wet Weight =
0.0138*Length3.071; Davis and Wiebe, 1985).
MOCNESS Sample Analysis\\u00a0(from Ashjian et al., 2004)
Silhouette photographs first were obtained from each sample; this photograph
then was scanned with an Epson Expression 1600 scanner at 1200 dpi to produce
a Tagged Image File Format (TIF) image. Identification and measurement of
organisms from the tiff image were accomplished manually using the specialized
MATLAB (Mathworks, Inc.) routine, the WHOI Silhouette DIGITIZER (v 1.0)
(Little and Copley, 2003). A scanned photographic image of an aliquot of a
sample was displayed with a superimposed reference grid on the computer
screen. The operator identified each organism to taxonomic and/or size
category by selecting the appropriate category button. Organism lengths (both
straight and curved) then were measured by the operator using the cursor on
the computer screen. Although the nominal resolution of the measurement is
0.02 mm, in practice the resolution was ~0.05 mm. In instances where there
were too many organisms of a given type to justify measuring every individual
organism, the DIGITIZER routine generated a list of randomly located cells to
systematically sub-sample the overall image. Each organism's biomass was
calculated automatically from its length measurement using the appropriate
length-weight relationship.
This is a graph of the vertical distribution of biomass from the Winter 2001
Cruise, NBP0103. Net 8 is closest to the surface and net 1 is deepest:
This is a graph of the vertical distribution of biomass from the Winter 2001
Cruise, NBP0104:
Figure 1. Map of Tow locations, Fall and Winter, 2001
Table 1. Summary of locations, times, and depths for the twelve net tows.
(Note: Winter tows 14 and 15 were considered one tow because when ice and
malfunction led to no data in the top three nets of Tow 14, MOC Tow 15 was
fished in the upper 90 meters to compensate.)
Cruise | Region | Tow
\\t\\t\\tNumber | Date | Time
\\t\\t\\t(Local) | Light* | Lat(S) | Lon(W) | Tow Depth(m) | Bottom
Depth(m) | Ice Cover
\\t\\t\\t(tenths)
---|---|---|---|---|---|---|---|---|---|---
Fall | Offshore | 6 | 05/04/01 | 1332 | D | 66\\u00a0 40.17 | 73
22.08 | 0-1001 | 3650 | 0
\\u00a0 | Midshelf 1 | 1 | 04/30/01 | 2050 | N | 66 10.80 | 69 10.47 |
0-306 | 360 | 0
\\u00a0 | Midshelf 2 | 3 | 05/02/01 | 0320 | N | 66 48.53 | 70 21.42 |
0-348 | 600 | 0
\\u00a0 | Midshelf 3 | 12 | 05/13/01 | 1830 | N | 68\\u00a0 23.62 | 72
18.44 | 0-356 | 400 | 0
\\u00a0 | Midshelf 4 | 16 | 05/18/01 | 0854 | N | 68\\u00a0 59.43 | 74
55.77 | 0-340 | 350 | 0
\\u00a0 | Marguerite Bay | 24 | 05/29/01 | 0300 | N | 67 55.33 | 68
30.69 | 0-602 | 690 | 0
Winter | Offshore | 11 | 08/11/01 | 0918 | T | 67 14.69 | 74 25.27 |
0-989 | 2917 | 10
\\u00a0 | Midshelf 1 | 17 | 08/26/01 | 0306 | N | 66 11.13 | 69 06.21 |
7-305 | 346 | 6
\\u00a0 | Midshelf 2 | 4 | 07/31/01 | 0949 | D | 66 45.18 | 70 09.64 |
11-413 | 501 | 8
\\u00a0 | Midshelf 3 | 13 | 08/17/01 | 2117 | N | 68 13.21 | 72 56.53 |
0-230 | 325 | 10
\\u00a0 | Midshelf 4 | 14 | 08/21/01 | 1136 | D | 69 15.55 | 75 34.00 |
20-290 | ~340 | 7
\\u00a0 | \\u00a0 | 15 | 08/22/01 | 0327 | N | 69 12.30 | 75\\u00a0
43.90 | 0-91 | ~350 | 9
\\u00a0 | Marguerite Bay | 9 | 08/08/01 | 0215 | N | 67 53.74 | 68
10.82 | 0-488 | 600+ | 9
*Light conditions are designated as:
\\\"D\\\" = day, sunlight present;
\\\"N\\\" = night, darkness;
\\\"T\\\" = twilight";
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
"Zooplankton Biomass and Abundance from MOCNESS tows
using silhouette analysis.
C. Ashjian and N. Copley, SIs
note: see Documentation for maps of tow locations, other important
data and supporting information";
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 "2019-02-06T18:43:14Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.2389.1";
Float64 Easternmost_Easting -65.5287;
Float64 geospatial_lat_max -65.1467;
Float64 geospatial_lat_min -69.243;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -65.5287;
Float64 geospatial_lon_min -75.7317;
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
"2024-12-03T17:25:50Z (local files)
2024-12-03T17:25:50Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_2389.das";
String infoUrl "https://www.bco-dmo.org/dataset/2389";
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 "4151";
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, abundance_total, bco, bco-dmo, biological, biomass, biomass_total, chemical, cruiseid, data, dataset, depth, depth_close, depth_mid, depth_open, depth_w, dmo, erddap, latitude, longitude, management, net, oceanography, office, preliminary, taxon, total, tow, year";
String license "https://www.bco-dmo.org/dataset/2389/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/2389";
Float64 Northernmost_Northing -65.1467;
String param_mapping "{'2389': {'lat': 'master - latitude', 'lon': 'master - longitude', 'depth_close': 'flag - depth'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/2389/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 abundance and biomass from MOCNESS silhouettes, from the RVIB Nathaniel B. Palmer NBP0103, NBP0104 from the Southern Ocean, austral fall and winter, 2001-2002";
String title "[zooplankton abund biomass_MOC - nbp] - Zooplankton abundance and biomass from MOCNESS silhouettes, from the RVIB Nathaniel B. Palmer NBP0103, NBP0104 from the Southern Ocean, 2001-2002 (SOGLOBEC project, Southern Ocean Krill project) (U.S. GLOBEC Southern Ocean)";
String version "1";
Float64 Westernmost_Easting -75.7317;
String xml_source "osprey2erddap.update_xml() v1.3";
}
}
Data Access Protocol (DAP) and its
selection constraints.
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.