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Dataset Title:  Time-Series of Phytoplankton Taxonomy and Density collected by the CARIACO
Ocean Time-Series Project from November 1995 to January 2017
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3095)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 Cruise (unitless) ?          1    232
 Cruise_ID_2 (unitless) ?          "CAR-001"    "CAR-232"
 Leg (unitless) ?          1    4
 Cast (unitless) ?          0    6
 Day_local (unitless) ?          1    29
 Month_local (unitless) ?          1    12
 Year_local (unitless) ?          1995    2017
 latitude (degrees_north) ?          10.475    10.517
  < slider >
 longitude (degrees_east) ?          -64.693    -64.658
  < slider >
 Time_start_local (unitless) ?          "03:29"    "10:25"
 Time_end_local (unitless) ?          "03:54"    "11:00"
 Datetime_local (unitless) ?          "1995-11-08T03:36"    "2017-01-12T04:17"
 time (Datetime UTC, UTC) ?          1995-11-08T07:36Z    2017-01-12T08:17Z
  < slider >
 SpeciesNameOriginal (unitless) ?          "0xiphysis oxitoxoi..."    "thecate dinoflagel..."
 SpeciesNameCleaned (unitless) ?          "Acanthoica quattro..."    "prymnesiophyta"
 ScientificName_accepted (unitless) ?          "? Calytrhosphaera ..."    "palmelloid colony"
 AphiaID (unitless) ?          801    986480
 d_1m (cells per milliliter (cells/mL)) ?          0.0    12672.0
 d_7m (cells per milliliter (cells/mL)) ?          0.0    2735.334
 d_15m (cells per milliliter (cells/mL)) ?          0.0    3468.0
 d_25m (cells per milliliter (cells/mL)) ?          0.0    1609.02
 d_35m (cells per milliliter (cells/mL)) ?          0.0    1394.27
 d_55m (cells per milliliter (cells/mL)) ?          0.0    1872.9
 d_75m (cells per milliliter (cells/mL)) ?          0.0    9964.5
 d_100m (cells per milliliter (cells/mL)) ?          0.0    3968.92
 Total_sum (count) ?          0.0    12678.2
 
Server-side Functions ?
 distinct() ?
? ("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.")

File type: (more info)

(Documentation / Bypass this form ? )
 
(Please be patient. It may take a while to get the data.)


 

The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 232;
    String bcodmo_name "cruise_id";
    String description "number of cruise";
    String long_name "Cruise";
    String units "unitless";
  }
  Cruise_ID_2 {
    String bcodmo_name "cruise_id";
    String description "cruise ID for the CARIACO project";
    String long_name "Cruise ID 2";
    String units "unitless";
  }
  Leg {
    Byte _FillValue 127;
    Byte actual_range 1, 4;
    String bcodmo_name "leg";
    String description "cruise leg number";
    String long_name "Leg";
    String units "unitless";
  }
  Cast {
    Byte _FillValue 127;
    Byte actual_range 0, 6;
    String bcodmo_name "cast";
    String description "CTD cast number";
    String long_name "Cast";
    String units "unitless";
  }
  Day_local {
    Byte _FillValue 127;
    Byte actual_range 1, 29;
    String bcodmo_name "day";
    String description "day of sampling in dd format";
    String long_name "Day Local";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "unitless";
  }
  Month_local {
    Byte _FillValue 127;
    Byte actual_range 1, 12;
    String bcodmo_name "month";
    String description "month of sampling in mm format";
    String long_name "Month Local";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "unitless";
  }
  Year_local {
    Int16 _FillValue 32767;
    Int16 actual_range 1995, 2017;
    String bcodmo_name "year";
    String description "year of sampling in yyyy format";
    String long_name "Year Local";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 10.475, 10.517;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude of observations with positive values indicating North";
    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 -64.693, -64.658;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "Longitude of observations 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 standard_name "longitude";
    String units "degrees_east";
  }
  Time_start_local {
    String bcodmo_name "time_local";
    String description "start time of hydrocast in Venezuelan Standard Time (VET)";
    String long_name "Time Start Local";
    String units "unitless";
  }
  Time_end_local {
    String bcodmo_name "time_local";
    String description "end time of hydrocast in Venezuelan Standard Time (VET)";
    String long_name "Time End Local";
    String units "unitless";
  }
  Datetime_local {
    String bcodmo_name "ISO_DateTime_Local";
    String description "date and time in Venezuelan Standard Time (VET)";
    String long_name "Datetime Local";
    String source_name "Datetime_local";
    String time_precision "1970-01-01T00:00Z";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 8.1581616e+8, 1.48420902e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "date and time in UTC";
    String ioos_category "Time";
    String long_name "Datetime UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String standard_name "time";
    String time_origin "01-JAN-1970 00:00:00";
    String time_precision "1970-01-01T00:00Z";
    String units "seconds since 1970-01-01T00:00:00Z";
  }
  SpeciesNameOriginal {
    String bcodmo_name "species";
    String description "species name as the person who did the taxonomy recorded it";
    String long_name "Species Name Original";
    String units "unitless";
  }
  SpeciesNameCleaned {
    String bcodmo_name "species";
    String description "cleaned species name";
    String long_name "Species Name Cleaned";
    String units "unitless";
  }
  ScientificName_accepted {
    String bcodmo_name "species";
    String description "Accepted scientific name of the species.";
    String long_name "Scientific Name Accepted";
    String units "unitless";
  }
  AphiaID {
    Int32 _FillValue 2147483647;
    Int32 actual_range 801, 986480;
    String bcodmo_name "taxon_code";
    String description "Aphia ID";
    String long_name "Aphia ID";
    String units "unitless";
  }
  d_1m {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 12672.0;
    String bcodmo_name "abundance";
    String description "species count in 1 meter depth bottle sample";
    String long_name "D 1M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per milliliter (cells/mL)";
  }
  d_7m {
    Float64 _FillValue NaN;
    Float64 actual_range 0.0, 2735.334;
    String bcodmo_name "abundance";
    String description "species count in 7 meter depth bottle sample";
    String long_name "D 7M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per milliliter (cells/mL)";
  }
  d_15m {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 3468.0;
    String bcodmo_name "abundance";
    String description "species count in 15 meter depth bottle sample";
    String long_name "D 15M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per milliliter (cells/mL)";
  }
  d_25m {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1609.02;
    String bcodmo_name "abundance";
    String description "species count in 25 meter depth bottle sample";
    String long_name "D 25M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per milliliter (cells/mL)";
  }
  d_35m {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1394.27;
    String bcodmo_name "abundance";
    String description "species count in 35 meter depth bottle sample";
    String long_name "D 35M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per milliliter (cells/mL)";
  }
  d_55m {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 1872.9;
    String bcodmo_name "abundance";
    String description "species count in 55 meter depth bottle sample";
    String long_name "D 55M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per milliliter (cells/mL)";
  }
  d_75m {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 9964.5;
    String bcodmo_name "abundance";
    String description "species count in 75 meter depth bottle sample";
    String long_name "D 75M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per milliliter (cells/mL)";
  }
  d_100m {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 3968.92;
    String bcodmo_name "abundance";
    String description "species count in 100 meter depth bottle sample";
    String long_name "D 100M";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "cells per milliliter (cells/mL)";
  }
  Total_sum {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 12678.2;
    String bcodmo_name "abundance";
    String description "species count for profile";
    String long_name "Total Sum";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P03/current/B070/";
    String units "count";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"Water was collected with a SeaBird rosette equipped with 12 (8 liter) teflon-
coated Niskin bottles (bottle springs were also teflon-coated) at different
depths. Water samples for phytoplankton taxonomy analysis were usually
collected during the first CTD/Niskin Cast of the morning for the following
depths: 1, 7, 25, 35, 75, and 100 m.\\u00a0
 
The determination of microalgal taxonomy and abundance was carried out at the
Laboratory of Phytoplankton of the Instituto Oceanogr\\u00e1fico de Venezuela,
Universidad de Oriente (Cumana, Venezuela), according to the Uterm\\u00f6hl
sedimentation method that is described by Edler and Elbr\\u00e4chter (2010).
Phytoplankton species were identified according to the works of Cupp (1943),
Hasle et al. (1997), Berard-Thierrault et al. (1999) and Tenenbaum (2006).";
    String awards_0_award_nid "54693";
    String awards_0_award_number "OCE-9401537";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9401537";
    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 "Donald L. Rice";
    String awards_0_program_manager_nid "51467";
    String awards_10_award_nid "54919";
    String awards_10_award_number "OCE-0752139";
    String awards_10_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0752139";
    String awards_10_funder_name "NSF Division of Ocean Sciences";
    String awards_10_funding_acronym "NSF OCE";
    String awards_10_funding_source_nid "355";
    String awards_10_program_manager "Donald L. Rice";
    String awards_10_program_manager_nid "51467";
    String awards_11_award_nid "54950";
    String awards_11_award_number "96280221";
    String awards_11_funder_name "Fondo Nacional de Ciencia, Tecnología e Innovación of Venezuela";
    String awards_11_funding_acronym "FONACIT";
    String awards_11_funding_source_nid "359";
    String awards_12_award_nid "769589";
    String awards_12_award_number "OCE-0326313";
    String awards_12_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0326313";
    String awards_12_funder_name "NSF Division of Ocean Sciences";
    String awards_12_funding_acronym "NSF OCE";
    String awards_12_funding_source_nid "355";
    String awards_12_program_manager "Donald L. Rice";
    String awards_12_program_manager_nid "51467";
    String awards_13_award_nid "769594";
    String awards_13_award_number "NNX14AP62A";
    String awards_13_data_url "https://federalreporter.nih.gov/Projects/Details/?projectId=674021";
    String awards_13_funder_name "National Aeronautics & Space Administration";
    String awards_13_funding_acronym "NASA";
    String awards_13_funding_source_nid "353";
    String awards_14_award_nid "775240";
    String awards_14_award_number "2000001702";
    String awards_14_funder_name "Fondo Nacional de Ciencia, Tecnología e Innovación of Venezuela";
    String awards_14_funding_acronym "FONACIT";
    String awards_14_funding_source_nid "359";
    String awards_15_award_nid "775241";
    String awards_15_award_number "2011000353";
    String awards_15_funder_name "Fondo Nacional de Ciencia, Tecnología e Innovación of Venezuela";
    String awards_15_funding_acronym "FONACIT";
    String awards_15_funding_source_nid "359";
    String awards_1_award_nid "54756";
    String awards_1_award_number "OCE-9729697";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9729697";
    String awards_1_funder_name "NSF Division of Ocean Sciences";
    String awards_1_funding_acronym "NSF OCE";
    String awards_1_funding_source_nid "355";
    String awards_1_program_manager "Donald L. Rice";
    String awards_1_program_manager_nid "51467";
    String awards_2_award_nid "54791";
    String awards_2_award_number "OCE-0326268";
    String awards_2_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0326268";
    String awards_2_funder_name "NSF Division of Ocean Sciences";
    String awards_2_funding_acronym "NSF OCE";
    String awards_2_funding_source_nid "355";
    String awards_2_program_manager "Donald L. Rice";
    String awards_2_program_manager_nid "51467";
    String awards_3_award_nid "54802";
    String awards_3_award_number "OCE-9216626";
    String awards_3_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9216626";
    String awards_3_funder_name "NSF Division of Ocean Sciences";
    String awards_3_funding_acronym "NSF OCE";
    String awards_3_funding_source_nid "355";
    String awards_3_program_manager "Donald L. Rice";
    String awards_3_program_manager_nid "51467";
    String awards_4_award_nid "54828";
    String awards_4_award_number "OCE-9711318";
    String awards_4_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9711318";
    String awards_4_funder_name "NSF Division of Ocean Sciences";
    String awards_4_funding_acronym "NSF OCE";
    String awards_4_funding_source_nid "355";
    String awards_4_program_manager "Donald L. Rice";
    String awards_4_program_manager_nid "51467";
    String awards_5_award_nid "54833";
    String awards_5_award_number "NAS5-97128";
    String awards_5_funder_name "National Aeronautics & Space Administration";
    String awards_5_funding_acronym "NASA";
    String awards_5_funding_source_nid "353";
    String awards_6_award_nid "54835";
    String awards_6_award_number "OCE-9415790";
    String awards_6_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9415790";
    String awards_6_funder_name "NSF Division of Ocean Sciences";
    String awards_6_funding_acronym "NSF OCE";
    String awards_6_funding_source_nid "355";
    String awards_6_program_manager "Donald L. Rice";
    String awards_6_program_manager_nid "51467";
    String awards_7_award_nid "54840";
    String awards_7_award_number "OCE-9729284";
    String awards_7_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9729284";
    String awards_7_funder_name "NSF Division of Ocean Sciences";
    String awards_7_funding_acronym "NSF OCE";
    String awards_7_funding_source_nid "355";
    String awards_7_program_manager "Donald L. Rice";
    String awards_7_program_manager_nid "51467";
    String awards_8_award_nid "54868";
    String awards_8_award_number "NAG5-6448";
    String awards_8_funder_name "National Aeronautics & Space Administration";
    String awards_8_funding_acronym "NASA";
    String awards_8_funding_source_nid "353";
    String awards_9_award_nid "54895";
    String awards_9_award_number "OCE-0963028";
    String awards_9_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0963028";
    String awards_9_funder_name "NSF Division of Ocean Sciences";
    String awards_9_funding_acronym "NSF OCE";
    String awards_9_funding_source_nid "355";
    String awards_9_program_manager "Donald L. Rice";
    String awards_9_program_manager_nid "51467";
    String cdm_data_type "Other";
    String comment 
"Time-Series of Phytoplankton Taxonomy and Density collected by the CARIACO Ocean Time-Series Project (November 1995 to January 2017). 
  PI: Dr. Frank Muller-Karger 
  Version: 2019-08-13";
    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 "2019-08-14T17:27:40Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.3095.1";
    Float64 Easternmost_Easting -64.658;
    Float64 geospatial_lat_max 10.517;
    Float64 geospatial_lat_min 10.475;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -64.658;
    Float64 geospatial_lon_min -64.693;
    String geospatial_lon_units "degrees_east";
    String history 
"2024-03-29T08:24:48Z (local files)
2024-03-29T08:24:48Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3095.html";
    String infoUrl "https://www.bco-dmo.org/dataset/3095";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_nid "4835";
    String instruments_0_description "A Niskin bottle (a next generation water sampler based on the Nansen bottle) is a cylindrical, non-metallic water collection device with stoppers at both ends.  The bottles can be attached individually on a hydrowire or deployed in 12, 24 or 36 bottle Rosette systems mounted on a frame and combined with a CTD.  Niskin bottles are used to collect discrete water samples for a range of measurements including pigments, nutrients, plankton, etc.";
    String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/";
    String instruments_0_instrument_name "Niskin bottle";
    String instruments_0_instrument_nid "413";
    String instruments_0_supplied_name "Niskin Bottle";
    String instruments_1_dataset_instrument_description "Microscopes";
    String instruments_1_dataset_instrument_nid "775208";
    String instruments_1_description "Instruments that generate enlarged images of samples using the phenomena of reflection and absorption of visible light. Includes conventional and inverted instruments. Also called a \"light microscope\".";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB05/";
    String instruments_1_instrument_name "Microscope-Optical";
    String instruments_1_instrument_nid "708";
    String instruments_1_supplied_name "Microscopes";
    String keywords "100m, 15m, 25m, 35m, 55m, 75m, accepted, aphia, AphiaID, bco, bco-dmo, biological, cast, chemical, cleaned, cruise, Cruise_ID_2, d_100m, d_15m, d_1m, d_25m, d_35m, d_55m, d_75m, d_7m, data, dataset, datetime, Datetime_UTC, day, Day_local, dmo, end, erddap, latitude, leg, local, longitude, management, month, Month_local, name, oceanography, office, original, preliminary, scientific, ScientificName_accepted, species, SpeciesNameCleaned, SpeciesNameOriginal, start, sum, time, Time_end_local, Time_start_local, total, Total_sum, year, Year_local";
    String license "https://www.bco-dmo.org/dataset/3095/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3095";
    Float64 Northernmost_Northing 10.517;
    String param_mapping "{'3095': {'Datetime_UTC': 'flag - time', 'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3095/parameters";
    String people_0_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_0_affiliation_acronym "EDIMAR-FLASA";
    String people_0_person_name "Yrene Astor";
    String people_0_person_nid "51110";
    String people_0_role "Principal Investigator";
    String people_0_role_type "originator";
    String people_10_affiliation "Woods Hole Oceanographic Institution";
    String people_10_affiliation_acronym "WHOI BCO-DMO";
    String people_10_person_name "Mathew Biddle";
    String people_10_person_nid "708682";
    String people_10_role "BCO-DMO Data Manager";
    String people_10_role_type "related";
    String people_11_affiliation "Woods Hole Oceanographic Institution";
    String people_11_affiliation_acronym "WHOI BCO-DMO";
    String people_11_person_name "Theresa McKee";
    String people_11_person_nid "51103";
    String people_11_role "BCO-DMO Data Manager";
    String people_11_role_type "related";
    String people_1_affiliation "University of South Florida";
    String people_1_affiliation_acronym "USF";
    String people_1_person_name "Dr Frank Muller-Karger";
    String people_1_person_nid "50809";
    String people_1_role "Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "Universidad de Oriente, Venezuela";
    String people_2_affiliation_acronym "UDO";
    String people_2_person_name "Luis Troccoli";
    String people_2_person_nid "51045";
    String people_2_role "Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_3_affiliation_acronym "EDIMAR-FLASA";
    String people_3_person_name "Ramon Varela";
    String people_3_person_nid "51111";
    String people_3_role "Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "Universidad de Oriente, Venezuela";
    String people_4_affiliation_acronym "UDO";
    String people_4_person_name "Rafael Diaz-Ramos";
    String people_4_person_nid "775192";
    String people_4_role "Scientist";
    String people_4_role_type "originator";
    String people_5_affiliation "Universidad de Oriente, Venezuela";
    String people_5_affiliation_acronym "UDO";
    String people_5_person_name "Sonia Subero-Pino";
    String people_5_person_nid "775193";
    String people_5_role "Scientist";
    String people_5_role_type "originator";
    String people_6_affiliation "Universidad de Oriente, Venezuela";
    String people_6_affiliation_acronym "UDO";
    String people_6_person_name "Luis Troccoli";
    String people_6_person_nid "51045";
    String people_6_role "Scientist";
    String people_6_role_type "originator";
    String people_7_affiliation "University of South Florida";
    String people_7_affiliation_acronym "USF";
    String people_7_person_name "Digna Rueda-Roa";
    String people_7_person_nid "647919";
    String people_7_role "Contact";
    String people_7_role_type "related";
    String people_8_affiliation "Universidad Simón Bolívar - Instituto de Tecnología y Ciencias Marinas";
    String people_8_affiliation_acronym "USB-INTECMAR";
    String people_8_person_name "Eduardo Klein";
    String people_8_person_nid "775197";
    String people_8_role "Data Manager";
    String people_8_role_type "related";
    String people_9_affiliation "University of South Florida";
    String people_9_affiliation_acronym "USF";
    String people_9_person_name "Digna Rueda-Roa";
    String people_9_person_nid "647919";
    String people_9_role "Data Manager";
    String people_9_role_type "related";
    String project "CARIACO";
    String projects_0_acronym "CARIACO";
    String projects_0_description 
"Since 1995, the CARIACO Ocean Time-Series (formerly known as the CArbon Retention In A Colored Ocean) Program has studied the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin. This depression, located on the continental shelf of Venezuela (Map), shows marked seasonal and interannual variation in hydrographic properties and primary production (carbon fixation rates by photosynthesis of planktonic algae).
This peculiar basin is anoxic below ~250 m, due its restricted circulation and high primary production (Muller-Karger et al., 2001). CARIACO observations show annual primary production rates exceed 500 gC/m2y, of which over 15-20% can be accounted for by events lasting one month or less. Such events are observed in other locations where time series observations are collected, and suggest that prior estimates of regional production based on limited sampling may have been underestimated. The annual primary production rates in the Cariaco Basin are comparable to rates estimated using time series observations for Monterey Bay (460 gC/m2y; Chavez, 1996), and higher than previous rates estimated for Georges Bank, the New York Shelf, and the Oregon Shelf (380, 300, and 190 gC/m2y, respectively; Walsh, 1988).
The Cariaco Basin has long been the center of attention of scientists trying to explain paleoclimate. Due to its high rates of sedimentation (30 to >100 cm/ky; Peterson et al., 2000) and excellent preservation, the varved sediments of the Cariaco Basin offer the opportunity to study high resolution paleoclimate and better understand the role of the tropics in global climate change ( Black et al., 1999; Peterson et al., 2000; Haug et al., 2001; Black et al., 2004; Hughen et al., 2004 ).
Now, the CARIACO program provides a link between the sediment record and processes near the surface of the ocean. Sediment traps maintained by the CARIACO program show that over 5% of autochtonous material reaches 275 m depth, and that nearly 2% reaches 1,400 m. The significance of this flux is that it represents a sink for carbon and that it helps explain the record of ancient climate stored at the bottom of the Cariaco Basin.
Acknowledgements: This work was supported by the National Science Foundation (NSF), the National Aeronautics and Space Administration (NASA), and Venezuela's Fondo Nacional de Ciencia, Tecnologí­a e Innovación (FONACIT). For more information please see this Acknowledgements link.";
    String projects_0_geolocation "CARIACO basin";
    String projects_0_name "CARIACO Ocean Time-Series Program";
    String projects_0_project_nid "2047";
    String projects_0_project_website "http://www.imars.usf.edu/CAR/index.html";
    String projects_0_start_date "1995-11";
    String publisher_name "Biological and Chemical Oceanographic Data Management Office (BCO-DMO)";
    String publisher_type "institution";
    String sourceUrl "(local files)";
    Float64 Southernmost_Northing 10.475;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "The CARIACO Ocean Time-Series Program (formerly known as CArbon Retention In A Colored Ocean) started on November 1995 (CAR-001) and ended on January 2017 (CAR-232). Monthly cruises were conducted to the CARIACO station (10.50\\u00b0 N, 64.67\\u00b0 W) onboard the R/V Hermano Gin\\u00e9s of the Fundaci\\u00f3n La Salle de Ciencias Naturales de Venezuela. The program studied the relationship between surface primary production, physical forcing variables like the wind, and the settling flux of particulate carbon in the Cariaco Basin. This depression, located on the continental shelf of Venezuela, shows marked seasonal and interannual variation in hydrographic properties and primary production (carbon fixation rates by photosynthesis of planktonic algae).\\r\\n\\r\\nOne of the monthly measurements taken by the program was water sampling at different depths for phytoplankton taxonomy (occurrence and density). Those water samples were collected with Niskin bottles during the first CTD Cast of the morning at 1, 7, 25, 35, 75, and 100 m depth. Phytoplankton taxonomy and density was determined at each depth at the level of species or genera. Values of zero are real and denote that a specific species was not found at that cruise/depth.";
    String time_coverage_end "2017-01-12T08:17Z";
    String time_coverage_start "1995-11-08T07:36Z";
    String title "Time-Series of Phytoplankton Taxonomy and Density collected by the CARIACO Ocean Time-Series Project from November 1995 to January 2017";
    String version "1";
    Float64 Westernmost_Easting -64.693;
    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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