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Dataset Title:  Date, time, location, and depth range for MOCNESS tows from the R/V Seward
Johnson, R/V Knorr in the Eastern Tropical North Pacific from 2007-10-25 to
2009-01-01
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_786098)
Range: longitude = -105.296 to -90.001°E, latitude = 8.964 to 13.177°N, depth = 100.0 to 1200.0m, time = 2007-10-25T17:42:00Z to 2009-01-01T06:31:00Z
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | 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 {
  cruise_id {
    String bcodmo_name "cruise_id";
    String description "identifier for the cruise as extracted from the file name";
    String long_name "Cruise Id";
    String units "unitless";
  }
  Station {
    String bcodmo_name "station";
    String description "Station number";
    String long_name "Station";
    String units "unitless";
  }
  MOC {
    Int16 _FillValue 32767;
    Int16 actual_range 603, 641;
    String bcodmo_name "unknown";
    String description "MOCNESS Number";
    String long_name "MOC";
    String units "unitless";
  }
  Tow_Type {
    String bcodmo_name "tow";
    String description "type of tow";
    String long_name "Tow Type";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 1.19333412e+9, 1.23079146e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time following the ISO8601 format";
    String ioos_category "Time";
    String long_name "ISO Date Time UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String source_name "ISO_DateTime_UTC";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  Date_Local {
    String bcodmo_name "date_local";
    String description "local date in mmddyyyy format";
    String long_name "Date Local";
    String units "unitless";
  }
  Date_UTC {
    String bcodmo_name "date_utc";
    String description "UTC date in mmddyyyy format";
    String long_name "Date UTC";
    String units "unitless";
  }
  Time_In_Local {
    String bcodmo_name "time_local";
    String description "Local time in following format HHMM. Cruise SJ07 was UTC-500. Cruise KN0819502 was UTC-600.";
    String long_name "Time In Local";
    String units "unitless";
  }
  Time_Out_Local {
    String bcodmo_name "time_local";
    String description "local time out following format HHMM. Cruise SJ07 was UTC-500. Cruise KN0819502 was UTC-600.";
    String long_name "Time Out Local";
    String units "unitless";
  }
  Time_In_UTC {
    String bcodmo_name "time_gmt";
    String description "UTC time in following format HHMM";
    String long_name "Time In UTC";
    String units "unitless";
  }
  Time_Out_UTC {
    String bcodmo_name "time_gmt";
    String description "UTC time out following format HHMM";
    String long_name "Time Out UTC";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 8.964, 13.177;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude in decimal degrees with negative values indicating South";
    String ioos_category "Location";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String source_name "Lat_In";
    String standard_name "latitude";
    String units "degrees_north";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -105.296, -90.001;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude in decimal degrees with negative values indicating West";
    String ioos_category "Location";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String source_name "Lon_In";
    String standard_name "longitude";
    String units "degrees_east";
  }
  Lat_Out {
    Float32 _FillValue NaN;
    Float32 actual_range 8.868, 13.204;
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "latitude in decimal degrees with negative values indicating South";
    String long_name "Latitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LATX/";
    String standard_name "latitude";
    String units "decimal degrees";
  }
  Lon_Out {
    Float32 _FillValue NaN;
    Float32 actual_range -105.267, -89.915;
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude in decimal degrees with negative values indicating West";
    String long_name "Longitude";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/LONX/";
    String standard_name "longitude";
    String units "decimal degrees";
  }
  Day_Night {
    String bcodmo_name "unknown";
    String description "Designator if cast was during the day or night";
    String long_name "Day Night";
    String units "unitless";
  }
  Min_Depth {
    Int16 _FillValue 32767;
    Int16 actual_range 0, 700;
    String bcodmo_name "depth";
    String description "minimum depth";
    String long_name "Min Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String units "meters (m)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 100.0, 1200.0;
    String axis "Z";
    String bcodmo_name "depth";
    String description "maximum depth";
    String ioos_category "Location";
    String long_name "Max Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Comments {
    String bcodmo_name "unknown";
    String description "additional comments";
    String long_name "Comments";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"See Wishner et al. 2013, 2018, and 2019 (online preprint in review) for
details and results.\\u00a0 Sampling for zooplankton occurred on the upcast
portion of the tow.\\u00a0 Samples were preserved in borate-buffered
formaldehyde at sea.\\u00a0 Zooplankton, especially copepods, were sorted and
identified microscopically later in the lab.\\u00a0\\u00a0";
    String awards_0_award_nid "734063";
    String awards_0_award_number "OCE-0526502";
    String awards_0_data_url "https://www.nsf.gov/awardsearch/showAward?AWD_ID=0526502";
    String awards_0_funder_name "NSF Division of Ocean Sciences";
    String awards_0_funding_acronym "NSF OCE";
    String awards_0_funding_source_nid "355";
    String awards_0_program_manager "David L. Garrison";
    String awards_0_program_manager_nid "50534";
    String cdm_data_type "Other";
    String comment 
"Date, time, location, and depth range for MOCNESS tows from 2007-10-25 to 2016-05-02 
  PI: Karen Wishner 
  Version: 2020-01-07";
    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 "2020-01-07T15:07:50Z";
    String date_modified "2020-01-30T14:10:49Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.786098.1";
    Float64 Easternmost_Easting -90.001;
    Float64 geospatial_lat_max 13.177;
    Float64 geospatial_lat_min 8.964;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -90.001;
    Float64 geospatial_lon_min -105.296;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1200.0;
    Float64 geospatial_vertical_min 100.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-18T11:13:52Z (local files)
2024-04-18T11:13:52Z https://erddap.bco-dmo.org/tabledap/bcodmo_dataset_786098.das";
    String infoUrl "https://www.bco-dmo.org/dataset/786098";
    String institution "BCO-DMO";
    String instruments_0_acronym "MOCNESS";
    String instruments_0_dataset_instrument_description "1 m2 MOCNESS";
    String instruments_0_dataset_instrument_nid "786122";
    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 keywords "bco, bco-dmo, biological, chemical, comments, cruise, cruise_id, data, dataset, date, Date_Local, Date_UTC, day, Day_Night, depth, dmo, erddap, iso, Lat_Out, latitude, local, Lon_Out, longitude, management, max, Max_Depth, min, Min_Depth, moc, night, oceanography, office, out, preliminary, station, time, Time_In_Local, Time_In_UTC, Time_Out_Local, Time_Out_UTC, tow, Tow_Type, type";
    String license "https://www.bco-dmo.org/dataset/786098/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/786098";
    Float64 Northernmost_Northing 13.177;
    String param_mapping "{'786098': {'Lat_In': 'flag - latitude', 'Lon_In': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time', 'Max_Depth': 'master - depth'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/786098/parameters";
    String people_0_affiliation "University of Rhode Island";
    String people_0_affiliation_acronym "URI-GSO";
    String people_0_person_name "Karen Wishner";
    String people_0_person_nid "50455";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_1_affiliation "University of South Florida";
    String people_1_affiliation_acronym "USF";
    String people_1_person_name "Brad Seibel";
    String people_1_person_nid "51075";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Woods Hole Oceanographic Institution";
    String people_2_affiliation_acronym "WHOI BCO-DMO";
    String people_2_person_name "Mathew Biddle";
    String people_2_person_nid "708682";
    String people_2_role "BCO-DMO Data Manager";
    String people_2_role_type "related";
    String project "ETP";
    String projects_0_acronym "ETP";
    String projects_0_description 
"This project aims to characterize the spatial and interannual variability of physical, chemical, and biological properties between low productivity and high productivity regions of the eastern tropical Pacific. In particular, we will investigate the physiology of bacteria, phytoplankton, and zooplankton and food web interactions in relation to the oxygen minimum zone. Our results also will provide information on how marine carbon and nitrogen cycles are modified in suboxic regions of the ocean. Measurements include: ADCP, temperature, salinity, O2, pH, total DIC, fCO2, nutrients, CDOM, POC/N, methane oxidation rates, denitrification rates, chlorophyll, phytoplankton C&N uptake rates, bacteria abundance/growth rates/molecular fingerprinting, lipid biomarkers, microzooplankton grazing rates, mesozooplankton abundance, distribution, and physiology, and particle flux rates.
NSF abstract: 
The CARIACO (CArbon Retention In A Colored Ocean) Program is a time-series programs, with the central goal to better understand seasonal to decadal time-scales of processes governing ocean biogeochemistry. The CARIACO site is situated in the tropics on a productive continental margin off Venezuela, the basin is anoxic, and the site is strongly connected to paleoclimate investigations. Thus, CARIACO has the additional goal of relating modern oceanographic processes with the production, transformation, and preservation of particulate matter in the sediment record.
Zooplankton composition, behavior, and physiological rates are important components of the biological pump. Recent findings from the Cariaco Basin and other regions with pelagic redoxclines (suboxic and anoxic interfaces) suggest that they are active regions of biogeochemical cycling, in which C may be directly transferred from bacterial production to zooplankton grazers.
The goals of this project are to determine the vertical and horizontal distributions of zooplankton in relation to the redoxcline during two seasons using discrete-depth net samples and a vertical-profiling laser-line scan camera system. Anaerobic and aerobic respiration and metabolites, excretion, and egestion rates will be experimentally determined for vertical migrators and resident species nearsurface and at suboxic and anoxic depths to determine whether zooplankton differ in their release of metabolic and egested products, due to differences in their metabolism and/or composition of food resources. Grazing experiments, in combination with lipid biomarkers and stable isotopic compositions, will be used to assess in situ diet and long-term feeding history of zooplankton. Fecal pellet composition will be compared with pellets in sediment traps. Time-series zooplankton samples also will be analyzed to obtain temporal information on zooplankton community dynamics and allow a seasonal estimate of the zooplankton contribution to elemental fluxes.
Intellectual Merit. One of the grand challenges of oceanography is to understand the processes that control the transformation and fate of organic carbon in marine systems. Meeting this challenge is hindered by a lack of basic information about factors that govern the response of biological activity to environmental forcing and climate change. In particular, the role of the marine biosphere in the global carbon cycle remains poorly constrained, in part due to uncertainties about biological controls on the quality and quantity of carbon export. This project will contribute to our knowledge of the role of mesozooplankton in biogeochemical cycles, especially in relation to how processes may be modified in regions with anoxic or suboxic layers and strong redox gradients, and will help to correctly understand the links between water column processes and climate history as recorded in the varved sediments of the Cariaco Basin.
Broader Impacts. The zooplankton time-series will provide information on patterns of marine biodiversity and ecological interactions from a poorly known region. The CARIACO Program has an ongoing impact in technology transfer and human resource development in Venezuela. This project will help train personnel in Venezuela and will support several graduate students. The lead investigators and students will develop materials on the project for dissemination through the NSF-Center for Ocean Science Education Excellence (COSEE) located at USF.
Note [2019-12-17]: BCO-DMO Project page updated to reflect information at nfs.gov for this collaborative award.
* Project tile changed from \"Eastern Tropical Pacific\" to the NSF award title \"Collaborative Research: Zooplankton in the Redoxcline of the Cariaco Basin: Impact on Biogeochemical Cycling.\"
* The other award number in this collaborative award added to the page OCE-0526502
* Person roles on the page updated to reflect the NSF award roles (PI or Co-PI) all others on the page changed to \"Scientist\" from \"Co-PI\" if not listed as a Co-PI on the NSF award.";
    String projects_0_end_date "2011-07";
    String projects_0_geolocation "Eastern tropical Pacific";
    String projects_0_name "Collaborative Research: Zooplankton in the Redoxcline of the Cariaco Basin: Impact on Biogeochemical Cycling";
    String projects_0_project_nid "2071";
    String projects_0_start_date "2006-08";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 8.964;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Date, time, location, and depth range for MOCNESS tows";
    String time_coverage_end "2009-01-01T06:31:00Z";
    String time_coverage_start "2007-10-25T17:42:00Z";
    String title "Date, time, location, and depth range for MOCNESS tows from the R/V Seward Johnson, R/V Knorr in the Eastern Tropical North Pacific from 2007-10-25 to 2009-01-01";
    String version "1";
    Float64 Westernmost_Easting -105.296;
    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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