Accessing BCO-DMO data
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BCO-DMO ERDDAP
Accessing BCO-DMO data |
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| Dataset Title: | [zooplankton_taxonomy] - Zooplankton taxonomic data from MOCNESS and IONESS tows from VERTIGO cruises KM0414, ZHNG09RR from the Hawaiian Islands HOT Site, NW SubArctic Pacific Ocean K2 Site, 2004-2005 (VERTIGO project) (VERtical Transport In the Global Ocean) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_3014) |
| Information: | Summary
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| FGDC
| ISO 19115
| Metadata
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Attributes {
s {
Cruise_ID {
String bcodmo_name "cruise_id";
String description "VERTIGO cruise name";
String long_name "Cruise ID";
String units "text";
}
event {
String bcodmo_name "event";
String description "unique sampling event";
String long_name "Event";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/EVTAGFL/";
String units "dimensionless";
}
date_begin {
Int32 _FillValue 2147483647;
Int32 actual_range 20040624, 20050816;
String bcodmo_name "date_begin";
String description "date at start of tow (UTC) in the format YYYYMMDD";
String long_name "Date Begin";
String units "unitless";
}
time_begin {
String bcodmo_name "time_begin";
String description "time at start of tow (UTC) in the format HHMM";
String long_name "Time Begin";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 22.73, 47.12;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "latitude, negative denotes 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 -158.04, 161.33;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "longitude, negative denotes 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_end {
Int16 _FillValue 32767;
Int16 actual_range 0, 750;
String bcodmo_name "depth_end";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth at end of tow";
String long_name "Depth";
String standard_name "depth";
String units "meters";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float64 _FillValue NaN;
Float64 actual_range 50.0, 1000.0;
String axis "Z";
String bcodmo_name "depth_begin";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth at start of tow";
String ioos_category "Location";
String long_name "Depth";
String positive "down";
String standard_name "depth";
String units "m";
}
vol_filt {
Float32 _FillValue NaN;
Float32 actual_range 266.1, 2451.9;
String bcodmo_name "vol_filt";
String description "volume filtered by net";
String long_name "Vol Filt";
String units "meters^3";
}
taxon {
String bcodmo_name "taxon";
String description "major taxonomic grouping";
String long_name "Taxon";
String units "text";
}
tax_dens {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 1149.71;
String bcodmo_name "abundance";
String description "taxon density";
String long_name "Tax Dens";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
String units "#/meters^3";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description "Methodology: [Methodology](\\\\\"http://ocb.whoi.edu/VERTIGO/PI-NOTES/multi-ship_zooplankton.html\\\\\") Change history: YYMMDD 080711: contributed by Joe Cope 090213: Cruise_ID \\\"K2\\\" changed to \\\"RR_K2\\\" for consistency with other VERTIGO data sets \\\"date\\\" column header changed to \\\"date_begin\\\" \\\"time\\\" column header changed to \\\"time_begin\\\" 090224: added to OCB database; Steve Gegg (sgegg@whoi.edu), BCO DMO";
String cdm_data_type "Other";
String comment
"version: 24 February 2009
PI: Steinberg
Zooplankton data from MOCNESS and IONESS tows";
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 "2020-01-16T21:56:50Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.3014.1";
Float64 Easternmost_Easting 161.33;
Float64 geospatial_lat_max 47.12;
Float64 geospatial_lat_min 22.73;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max 161.33;
Float64 geospatial_lon_min -158.04;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 1000.0;
Float64 geospatial_vertical_min 50.0;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2024-11-23T16:41:37Z (local files)
2024-11-23T16:41:37Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3014.html";
String infoUrl "https://www.bco-dmo.org/dataset/3014";
String institution "BCO-DMO";
String instruments_0_acronym "MOCNESS";
String instruments_0_dataset_instrument_nid "4798";
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. There are currently 8 different sizes of MOCNESS in existence which are designed for capture of different size ranges of zooplankton and micro-nekton Each system is designated according to the size of the net mouth opening and in two cases, the number of nets it carries. The original MOCNESS (Wiebe et al, 1976) was a redesigned and improved version of a system described by Frost and McCrone (1974).(from MOCNESS manual) This designation is used when the specific type of MOCNESS (number and size of nets) was not specified by the contributing investigator.";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/NETT0097/";
String instruments_0_instrument_name "MOCNESS";
String instruments_0_instrument_nid "511";
String instruments_0_supplied_name "MOCNESS";
String instruments_1_acronym "IONESS";
String instruments_1_dataset_instrument_nid "4799";
String instruments_1_description "The Intelligent Operative Net Sampling System (IONESS) is a sampling net system similar to a MOCNESS that is towed through the water column and can be controlled to open and close over specified depth intervals.";
String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/22/";
String instruments_1_instrument_name "Intelligent Operative Net Sampling System";
String instruments_1_instrument_nid "529";
String instruments_1_supplied_name "Intelligent Operative Net Sampling System";
String keywords "bco, bco-dmo, begin, biological, chemical, cruise, Cruise_ID, data, dataset, date, date_begin, dens, depth, depth_begin, depth_end, dmo, erddap, event, filt, latitude, longitude, management, oceanography, office, preliminary, tax, tax_dens, taxon, time, time_begin, vol, vol_filt";
String license "https://www.bco-dmo.org/dataset/3014/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/3014";
Float64 Northernmost_Northing 47.12;
String param_mapping "{'3014': {'lat': 'master - latitude', 'depth_begin': 'flag - depth', 'lon': 'master - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3014/parameters";
String people_0_affiliation "Virginia Institute of Marine Science";
String people_0_affiliation_acronym "VIMS";
String people_0_person_name "Deborah K. Steinberg";
String people_0_person_nid "50855";
String people_0_role "Principal Investigator";
String people_0_role_type "originator";
String people_1_affiliation "Virginia Institute of Marine Science";
String people_1_affiliation_acronym "VIMS";
String people_1_person_name "Joe Cope";
String people_1_person_nid "51023";
String people_1_role "Analyst";
String people_1_role_type "related";
String people_2_affiliation "Woods Hole Oceanographic Institution";
String people_2_affiliation_acronym "WHOI BCO-DMO";
String people_2_person_name "Cynthia L. Chandler";
String people_2_person_nid "50637";
String people_2_role "BCO-DMO Data Manager";
String people_2_role_type "related";
String project "VERTIGO";
String projects_0_acronym "VERTIGO";
String projects_0_description
"NSF Award Abstract:
In this study, researchers at the Woods Hole Oceanographic Institution, Virginia Institute of Marine Science, University of California - Santa Cruz, University of California - Santa Barbara, University of Tasmania, and NIWA-Australia will work collaboratively to answer a difficult question in marine biogeochemistry: What controls the efficiency of particle transport between the surface and deep ocean? More specifically, what is the fate of sinking particles leaving the upper ocean and what factors influence remineralization length scales for different sinking particle classes? Knowing the efficiency of particle transport is important for an accurate assessment of the ocean carbon sink. Globally, the magnitude and efficiency of the biological pump will in part modulate levels of atmospheric carbon dioxide.
The research team intends to test two basic hypotheses about remineralization control, namely: (1) particle source characteristics are the dominant control on the efficiency of particle transport; and/or that (2) mid-water processing, either by zooplankton or bacteria, controls transport efficiency. To do so, they will conduct process studies at sea focused on particle flux and composition changes in the upper 500-1000m of the ocean. The basic approach is to examine changes in particle composition and flux with depth within a given source region using a combination of approaches, many of which are new to the field. These include neutrally buoyant sediment traps, particle pumps, settling columns and respiration chambers, along with the development of new biological and geochemical tools for an integrated biogeochemical assessment of the biological pump. Two sites will be studied extensively on three-week process study cruises: the Hawaii Ocean Time-series site (HOT) and a new moored time-series site in the subarctic NW Pacific (Japanese site K2; 47oN 160oE). There are strong contrasts between these sites in rates of production, export, particle composition and expected remineralization length scales.
Evidence for variability in the flux vs. depth relationship of sinking particles is not in dispute, but the controls on particle transport efficiency through the twilight zone remain poorly understood. A lack of reliable flux and particle characterization data within the twilight zone has hampered our ability to make progress in this area, and no single approach is likely to resolve these issues. The proposed study will apply quantitative modeling to determine the net effects of the individual particle processes on the effective transport of carbon and other elements and to place the shipboard observations in the context of spatial and temporal variations in these processes
Besides the obvious contributions to the study of the oceanic and planetary carbon cycles, there are broader outcomes and impacts forthcoming from this project. Graduate and undergraduate students will be included in all aspects of the research, and the involvement of non-US PIs will encourage exchange of students and post-docs between labs in different countries. In addition, the component groups will continue to maintain science web sites designed for both public and scientific exchange where the broader and specific goals and outcomes of this work can be communicated.
Original PI-provided project description:
The main goal of VERTIGO is the investigation of the mechanisms that control the efficiency of particle transport through the mesopelagic portion of the water column.
Question: What controls the efficiency of particle transport between the surface and deep ocean? More specifically, what is the fate of sinking particles leaving the upper ocean and what factors influence remineralization length scales for different sinking particle classes? VERTIGO researchers have set out to test two basic hypotheses regarding remineralization control, namely:
1. particle source characteristics are the dominant control on the efficiency of particle transport; and/or that
2. mid-water processing, either by zooplankton or bacteria, controls transport efficiency.
To test their hypotheses, they will conduct process studies in the field focused on particle flux and composition changes in the upper 500-1000m of the ocean. The basic approach is to examine changes in particle composition and flux with depth within a given source region using a combination of approaches, many of which are new to the field. These include neutrally buoyant sediment traps, particle pumps, settling columns and respiration chambers, along with the development of new biological and geochemical tools for an integrated biogeochemical assessment of the biological pump. Three week process study cruises have been planned at two sites - the Hawaii Ocean Time-series site (HOT) and a new moored time-series site in the subarctic NW Pacific (Japanese site K2; 47oN 160oE) - where there are strong contrasts in rates of production, export, particle composition and expected remineralization length scales.
Evidence for variability in the flux vs. depth relationship of sinking particles is not in dispute but the controls on particle transport efficiency through the twilight zone remain poorly understood. A lack of reliable flux and particle characterization data within the twilight zone has hampered our ability to make progress in this area, and no single approach is likely to resolve these issues. The proposed study will apply quantitative modeling to determine the net effects of the individual particle processes on the effective transport of carbon and other elements, and to place the shipboard observations in the context of spatial and temporal variations in these processes. For rapid progress in this area, we have organized this effort as a group proposal taking advantage of expertise in the US and international community.
The efficiency of particle transport is important for an accurate assessment of the ocean C sink. Globally, the magnitude and efficiency of the biological pump will in part modulate levels of atmospheric CO2. We maintain that to understand present day ocean C sequestration and to evaluate potential strategies for enhancing sequestration, we need to assess possible changes in the efficiency of particle transport due to climate variability or via purposeful manipulations of C uptake, such as via iron fertilization.
VERTIGO Acknowledgments: (from K.O. Buesseler, et al / Deep-Sea Research II 55 (2008) 1522-1539) We thank the officers, crew and shore-based support teams for the R/V Kilo Moana (2004) and R/V Roger Revelle (2005). Funding for VERTIGO was provided primarily by research grants from the US National Science Foundation Programs in Chemical and Biological Oceanography (KOB, CHL, MWS, DKS, DAS). Additional US and non-US grants included: US Department of Energy, Office of Science, Biological and Environmental Research Program (JKBB); the Gordon and Betty Moore Foundation (DMK); the Australian Cooperative Research Centre program and Australian Antarctic Division (TWT); Chinese NSFC and MOST programs (NZJ); Research Foundation Flanders and Vrije Universiteit Brussel (FD, ME); JAMSTEC (MCH); New Zealand Public Good Science Foundation (PWB); and internal WHOI sources and a contribution from the John Aure and Cathryn Ann Hansen Buesseler Foundation (KOB). A number of individuals at sea and on shore, helped make the VERTIGO project a success, including: J. Andrews, C. Bertrand, R. Bidigare III, S. Bray, K. Casciotti, M. Charette, R. Condon, J. Cope, E. Fields, M. Gall, M. Gonneea, P. Henderson, T. Kobari, D. Kunz, S. Saitoh, S. Manganini, C. Moy, S. Okamoto, S. Pike, L. Robertson, D. Ruddick and Y. Zhang. Suggestions by three anonymous reviewers and help by the editor, R. Lampitt, are also greatly appreciated.";
String projects_0_end_date "2007-07";
String projects_0_geolocation "HOT site and subarctic NW Pacific";
String projects_0_name "VERtical Transport In the Global Ocean";
String projects_0_project_nid "2050";
String projects_0_project_website "https://cafethorium.whoi.edu/projects/vertigo/";
String projects_0_start_date "2003-07";
String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
String publisher_type "institution";
String sourceUrl "(local files)";
Float64 Southernmost_Northing 22.73;
String standard_name_vocabulary "CF Standard Name Table v55";
String summary "Zooplankton taxonomic data from MOCNESS and IONESS tows from VERTIGO cruises KM0414, ZHNG09RR from the Hawaiian Islands HOT Site, NW SubArctic Pacific Ocean K2 Site, 2004-2005";
String title "[zooplankton_taxonomy] - Zooplankton taxonomic data from MOCNESS and IONESS tows from VERTIGO cruises KM0414, ZHNG09RR from the Hawaiian Islands HOT Site, NW SubArctic Pacific Ocean K2 Site, 2004-2005 (VERTIGO project) (VERtical Transport In the Global Ocean)";
String version "1";
Float64 Westernmost_Easting -158.04;
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.