Accessing BCO-DMO data
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| Dataset Title: | [CTD Composite Profiles] - Time series composite CTD profiles from R/V Hermano Ginés cruises in the Cariaco Basin from 1995 through 2017 (CARIACO Ocean Time- Series Program) 
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| Institution: | BCO-DMO (Dataset ID: bcodmo_dataset_3092) |
| Information: | Summary
| License
| FGDC
| ISO 19115
| Metadata
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Attributes {
s {
cruise_no {
Int16 _FillValue 32767;
Int16 actual_range 1, 232;
String bcodmo_name "unknown";
String description "number of CARIACO cruise";
String long_name "Cruise No";
String units "integer";
}
Cruise_ID1 {
String bcodmo_name "unknown";
String description "cruise ID for OCB";
String long_name "Cruise ID1";
String units "alphanumeric";
}
Cruise_ID2 {
String bcodmo_name "unknown";
String description "cruise ID for the CARIACO project";
String long_name "Cruise ID2";
String units "alphanumeric";
}
Year {
Int16 _FillValue 32767;
Int16 actual_range 1995, 2017;
String bcodmo_name "year";
String description "year of sampling";
String long_name "Year";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
String units "unitless";
}
Month {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 12;
String bcodmo_name "month";
String description "month of sampling";
String long_name "Month";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
String units "unitless";
}
Day {
Byte _FillValue 127;
String _Unsigned "false";
Byte actual_range 1, 30;
String bcodmo_name "day";
String description "day of sampling";
String long_name "Day";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
String units "unitless";
}
Date {
String bcodmo_name "date";
String description "date of sampling (local time)";
String long_name "Date";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
String source_name "Date";
String time_precision "1970-01-01";
String units "unitless";
}
latitude {
String _CoordinateAxisType "Lat";
Float64 _FillValue NaN;
Float64 actual_range 10.492, 10.683;
String axis "Y";
String bcodmo_name "latitude";
Float64 colorBarMaximum 90.0;
Float64 colorBarMinimum -90.0;
String description "latitude 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 -64.735, -64.367;
String axis "X";
String bcodmo_name "longitude";
Float64 colorBarMaximum 180.0;
Float64 colorBarMinimum -180.0;
String description "longitude with positive values indicating East";
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";
}
press {
Float32 _FillValue NaN;
Float32 actual_range 0.994, 1382.2;
String bcodmo_name "pressure";
String description "pressure from CTD";
String long_name "Press";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PRESPR01/";
String units "decibars";
}
depth {
String _CoordinateAxisType "Height";
String _CoordinateZisPositive "down";
Float64 _FillValue NaN;
Float64 actual_range 0.994, 1370.0;
String axis "Z";
String bcodmo_name "depth";
Float64 colorBarMaximum 8000.0;
Float64 colorBarMinimum -8000.0;
String colorBarPalette "TopographyDepth";
String description "depth from CTD";
String ioos_category "Location";
String long_name "Depth";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
String positive "down";
String standard_name "depth";
String units "m";
}
temp {
Float32 _FillValue NaN;
Float32 actual_range 16.998, 30.198;
String bcodmo_name "temperature";
String description "temperature from CTD ITS-90";
String long_name "Temperature";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
String units "degrees Celsius";
}
sal {
Float32 _FillValue NaN;
Float32 actual_range 35.838, 37.126;
String bcodmo_name "sal";
String description "salinity from CTD PSS-78 (PSU)";
String long_name "Sal";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
String units "PSU";
}
potemp {
Float32 _FillValue NaN;
Float32 actual_range 16.846, 30.198;
String bcodmo_name "potemp";
String description "potential temperature ITS-90";
String long_name "Potemp";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/POTMCV01/";
String units "degrees Celsius";
}
sigma_t {
Float32 _FillValue NaN;
Float32 actual_range 22.433, 26.5;
String bcodmo_name "sigma-t";
String description "density sigma-t";
String long_name "Sigma T";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTEQST/";
String units "kilograms/meter^3";
}
sigma_0 {
Float32 _FillValue NaN;
Float32 actual_range 22.433, 26.549;
String bcodmo_name "sigma_0";
String description "sigma theta (potential density)";
String long_name "Sigma 0";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTPR01/";
String units "kilograms/meter^3";
}
O2_ml_L {
Float32 _FillValue NaN;
Float32 actual_range -0.007, 6.312;
String bcodmo_name "O2_ml_L";
String description "oxygen dissolved from SBE 43 CTD";
String long_name "O2 Ml L";
String units "milliliters/liter";
}
beam_cp {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 7.694;
String bcodmo_name "beam_cp";
String description "particulate beam attenuation";
String long_name "Beam Cp";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ATTNZZ01/";
String units "1/meter";
}
beam_att {
Float32 _FillValue NaN;
Float32 actual_range 0.008, 10.303;
String bcodmo_name "beam_cp";
String description "beam attenuation coefficient";
String long_name "Beam Att";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ATTNZZ01/";
String units "1/meter";
}
fluor_CTD {
Float32 _FillValue NaN;
Float32 actual_range -0.116, 14.17;
String bcodmo_name "fluorescence";
String description "CTD relative fluorescence";
String long_name "Fluor CTD";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/";
String units "RFU";
}
fluor_chla {
Float32 _FillValue NaN;
Float32 actual_range 0.0, 12.254;
String bcodmo_name "chlorophyll a";
Float64 colorBarMaximum 30.0;
Float64 colorBarMinimum 0.03;
String colorBarScale "Log";
String description "fluorescence rescaled units are numerically equivalent to chlorophyll-a concentrations";
String long_name "Concentration Of Chlorophyll In Sea Water";
String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
String units "micrograms/meter^3";
}
}
NC_GLOBAL {
String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson";
String acquisition_description
"Hydrocasts: CTD and Rosette Sample
During each cruise, a minimum of four hydrocasts were performed to collect a
suite of core monthly observations. Additional hydrocasts were performed for
specific process studies. We conducted separate shallow and deep casts to
obtain better vertical resolution for chemical observations, and for
productivity and pigment observations. Water was collected with a SeaBird
rosette equipped with 12 (8 liter) teflon-coated Niskin bottles (bottle
springs were also teflon-coated) at 20 depths between the surface and 1310 m.
The rosette housed the CTD, which collected continuous profiles of temperature
and salinity. The CTD also had a SBE-43 oxygen probe, a Wetlabs ECO
fluorometer outfitted for chlorophyll-a estimates, and a C-Star
transmissometer (660 nm, Wetlabs). Beam attenuation measurements were added to
the time series on its 11th cruise (November 1986) originally using a SeaTech
transmissometer. The rosette was controlled with a SeaBird deck unit via
conducting cable, but alternatively it had been actuated automatically based
on pressure recordings via an Autofire Module (SBE AFM) when breaks in cable
conductivity had occurred.
Between November 1995 and September 1996, three separate SBE-19 CTDs were used
in repeated casts until a reliable salinity profile was obtained below the
oxycline. The SBE-19 model CTDs frequently failed to provide reliable
conductivity values below the oxycline in the Cariaco Basin. Starting in
September 1996, the SBE-19 CTDs were replaced by SBE-25 CTDs, which provided
extremely accurate and reliable data in anoxic waters.
All CTDs were calibrated at the Sea-Bird factory once per year. The accuracy
of the pressure sensor was 3.5 m and had a resolution of 0.7 m. The
temperatures accuracy was 0.002\\u00b0C with a resolution of 0.0003\\u00b0C. The
conductivity accuracy was 0.003 mmho/cm with a resolution of 0.0004 mmho/cm.
Discrete Salinity
Continuous salinity profiles were calculated from the CTD measurements.
Discrete salinity samples were analyzed using a Guildline Portasal 8410
salinometer standardized with IAPSO Standard Seawater, with a precision of
better than \\u00b1 0.003 and a resolution of 0.0003 mS/cm at 15\\u00b0 C and 35
psu, the accuracy was \\u00b10.003 at the same set point temperature as
standardization and within -2\\u00b0 and +4\\u00b0C of ambient. These salinity
values were used to check, and when necessary calibrate, the CTD salinity
profiles.
Discrete Oxygen
Continuous dissolved oxygen (O2) profiles were obtained with a SBE-43
Dissolved Oxygen Sensor coupled to the SBE-25 CTD. Discrete oxygen samples
were collected in duplicate using glass-stoppered bottles and analyzed by
Winkler titration (Strickland and Parsons, 1972, as modified by Aminot, 1983).
The analytical precision for discrete oxygen analysis was \\u00b13 mM, based on
analysis of duplicate samples, with a detection limit of 5 mM.\\u00a0The in-
situ oxygen values were used to check, and when necessary calibrate, the CTD
oxygen profiles.
Discrete Chlorophyll
Continuous fluorescence profiles were obtained with a Sea Tech Fluorometer
coupled to the SBE-25 CTD. Discrete chlorophyll samples were immediately
filtered through 25 mm Whatman GF/F filters in triplicate and frozen. The
chlorophyll-a determination followed Holm-Hansen et al. (1965), and the
calculations were done as indicated in Lorenzen (1966). Among the
modifications are the use of methanol instead of acetone as an extraction
solvent due to its greater efficiency (Holm-Hansen and Riemann, 1978) and the
use of a sonic dismembrator (Wright et al., 1997). The method applies to all
ranges of chlorophyll-a concentration found in seawater. The method detection
limit is 0.01 \\u03bcg L-1 for natural waters (for a 0.5 L sample).
Fluorescence profiles were calibrated with in-situ chlorophyll-a and it is
presented in its native units of RFU (fluor_CTD) and also in micrograms/m^3
(fluor_chla).";
String awards_0_award_nid "54619";
String awards_0_award_number "unknown CARIACO FONACIT";
String awards_0_funder_name "Fondo Nacional de Ciencia, Tecnología e Innovación of Venezuela";
String awards_0_funding_acronym "FONACIT";
String awards_0_funding_source_nid "359";
String awards_10_award_nid "54895";
String awards_10_award_number "OCE-0963028";
String awards_10_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0963028";
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 "54919";
String awards_11_award_number "OCE-0752139";
String awards_11_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0752139";
String awards_11_funder_name "NSF Division of Ocean Sciences";
String awards_11_funding_acronym "NSF OCE";
String awards_11_funding_source_nid "355";
String awards_11_program_manager "Donald L. Rice";
String awards_11_program_manager_nid "51467";
String awards_12_award_nid "54950";
String awards_12_award_number "96280221";
String awards_12_funder_name "Fondo Nacional de Ciencia, Tecnología e Innovación of Venezuela";
String awards_12_funding_acronym "FONACIT";
String awards_12_funding_source_nid "359";
String awards_13_award_nid "55090";
String awards_13_award_number "unknown CARIACO NSF OCE";
String awards_13_funder_name "NSF Division of Ocean Sciences";
String awards_13_funding_acronym "NSF OCE";
String awards_13_funding_source_nid "355";
String awards_14_award_nid "769589";
String awards_14_award_number "OCE-0326313";
String awards_14_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0326313";
String awards_14_funder_name "NSF Division of Ocean Sciences";
String awards_14_funding_acronym "NSF OCE";
String awards_14_funding_source_nid "355";
String awards_14_program_manager "Donald L. Rice";
String awards_14_program_manager_nid "51467";
String awards_15_award_nid "769594";
String awards_15_award_number "NNX14AP62A";
String awards_15_data_url "https://federalreporter.nih.gov/Projects/Details/?projectId=674021";
String awards_15_funder_name "National Aeronautics & Space Administration";
String awards_15_funding_acronym "NASA";
String awards_15_funding_source_nid "353";
String awards_1_award_nid "54693";
String awards_1_award_number "OCE-9401537";
String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9401537";
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 "54756";
String awards_2_award_number "OCE-9729697";
String awards_2_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9729697";
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 "54791";
String awards_3_award_number "OCE-0326268";
String awards_3_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0326268";
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 "54802";
String awards_4_award_number "OCE-9216626";
String awards_4_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9216626";
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 "54828";
String awards_5_award_number "OCE-9711318";
String awards_5_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9711318";
String awards_5_funder_name "NSF Division of Ocean Sciences";
String awards_5_funding_acronym "NSF OCE";
String awards_5_funding_source_nid "355";
String awards_5_program_manager "Donald L. Rice";
String awards_5_program_manager_nid "51467";
String awards_6_award_nid "54833";
String awards_6_award_number "NAS5-97128";
String awards_6_funder_name "National Aeronautics & Space Administration";
String awards_6_funding_acronym "NASA";
String awards_6_funding_source_nid "353";
String awards_7_award_nid "54835";
String awards_7_award_number "OCE-9415790";
String awards_7_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9415790";
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 "54840";
String awards_8_award_number "OCE-9729284";
String awards_8_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9729284";
String awards_8_funder_name "NSF Division of Ocean Sciences";
String awards_8_funding_acronym "NSF OCE";
String awards_8_funding_source_nid "355";
String awards_8_program_manager "Donald L. Rice";
String awards_8_program_manager_nid "51467";
String awards_9_award_nid "54868";
String awards_9_award_number "NAG5-6448";
String awards_9_funder_name "National Aeronautics & Space Administration";
String awards_9_funding_acronym "NASA";
String awards_9_funding_source_nid "353";
String cdm_data_type "Other";
String comment
"CARIACO time series composite CTD profiles
PI: Frank Muller-Karger
Version: 2019-06-04";
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 "2010-08-19T15:47:15Z";
String date_modified "2019-06-06T16:15:53Z";
String defaultDataQuery "&time<now";
String doi "10.1575/1912/bco-dmo.3092.1";
Float64 Easternmost_Easting -64.367;
Float64 geospatial_lat_max 10.683;
Float64 geospatial_lat_min 10.492;
String geospatial_lat_units "degrees_north";
Float64 geospatial_lon_max -64.367;
Float64 geospatial_lon_min -64.735;
String geospatial_lon_units "degrees_east";
Float64 geospatial_vertical_max 1370.0;
Float64 geospatial_vertical_min 0.994;
String geospatial_vertical_positive "down";
String geospatial_vertical_units "m";
String history
"2024-11-23T16:43:39Z (local files)
2024-11-23T16:43:39Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3092.html";
String infoUrl "https://www.bco-dmo.org/dataset/3092";
String institution "BCO-DMO";
String instruments_0_acronym "CTD SBE 19";
String instruments_0_dataset_instrument_description "SBE-19";
String instruments_0_dataset_instrument_nid "769539";
String instruments_0_description "The Sea-Bird SBE 19 SEACAT Recorder measures conductivity, temperature, and pressure (depth). The SEACAT is self-powered and self-contained and can be deployed in profiling or moored mode. The SBE 19 SEACAT was replaced in 2001 by the 19plus. more information from Sea-Bird Electronics";
String instruments_0_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0042/";
String instruments_0_instrument_name "CTD Sea-Bird SEACAT 19";
String instruments_0_instrument_nid "420";
String instruments_0_supplied_name "SBE-19";
String instruments_1_acronym "CTD SBE 25";
String instruments_1_dataset_instrument_description "SBE-25";
String instruments_1_dataset_instrument_nid "769540";
String instruments_1_description "The Sea-Bird SBE 25 SEALOGGER CTD is battery powered and is typically used to record data in memory, eliminating the need for a large vessel, electrical sea cable, and on-board computer. All SBE 25s can also operate in real-time, transmitting data via an opto-isolated RS-232 serial port. Temperature and conductivity are measured by the SBE 3F Temperature sensor and SBE 4 Conductivity sensor (same as those used on the premium SBE 9plus CTD). The SBE 25 also includes the SBE 5P (plastic) or 5T (titanium) Submersible Pump and TC Duct. The pump-controlled, TC-ducted flow configuration significantly reduces salinity spiking caused by ship heave, and in calm waters allows slower descent rates for improved resolution of water column features. Pressure is measured by the modular SBE 29 Temperature Compensated Strain-Gauge Pressure sensor (available in eight depth ranges to suit the operating depth requirement). The SBE 25's modular design makes it easy to configure in the field for a wide range of auxiliary sensors, including optional dissolved oxygen (SBE 43), pH (SBE 18 or SBE 27), fluorescence, transmissivity, PAR, and optical backscatter sensors. More information from Sea-Bird Electronics: http:www.seabird.com.";
String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0040/";
String instruments_1_instrument_name "CTD Sea-Bird 25";
String instruments_1_instrument_nid "421";
String instruments_1_supplied_name "SBE-25";
String instruments_2_acronym "Sea Tech Fluorometer";
String instruments_2_dataset_instrument_nid "6307";
String instruments_2_description "The Sea Tech chlorophyll-a fluorometer has internally selectable settings to adjust for different ranges of chlorophyll concentration, and is designed to measure chlorophyll-a fluorescence in situ. The instrument is stable with time and temperature and uses specially selected optical filters enabling accurate measurements of chlorophyll a. It can be deployed in moored or profiling mode. This instrument designation is used when specific make and model are not known. The Sea Tech Fluorometer was manufactured by Sea Tech, Inc. (Corvalis, OR, USA).";
String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/113/";
String instruments_2_instrument_name "Sea Tech Fluorometer";
String instruments_2_instrument_nid "477";
String instruments_2_supplied_name "Sea Tech Fluorometer";
String instruments_3_acronym "SBE-43 DO";
String instruments_3_dataset_instrument_nid "6305";
String instruments_3_description "The Sea-Bird SBE 43 dissolved oxygen sensor is a redesign of the Clark polarographic membrane type of dissolved oxygen sensors. more information from Sea-Bird Electronics";
String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0036/";
String instruments_3_instrument_name "Sea-Bird SBE 43 Dissolved Oxygen Sensor";
String instruments_3_instrument_nid "552";
String instruments_3_supplied_name "SBE 43 Dissolved Oxygen Sensor";
String instruments_4_acronym "WL CSTAR Trans";
String instruments_4_dataset_instrument_nid "6306";
String instruments_4_description "A highly integrated opto-electronic design to provide a low cost, compact solution for underwater measurements of beam transmittance. The instrument is capable of either free space measurements, or through the use of an optical flow tube, flow-through sampling with a pump. It can be used in profiling, moored, or underway applications. more information from Wet Labs";
String instruments_4_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0160/";
String instruments_4_instrument_name "Wet Labs CSTAR Transmissometer";
String instruments_4_instrument_nid "593";
String instruments_4_supplied_name "Wet Labs CSTAR Transmissometer";
String keywords "altimetry, att, bco, bco-dmo, beam, beam_att, beam_cp, biological, chemical, chemistry, chlorophyll, concentration, concentration_of_chlorophyll_in_sea_water, conductivity, cruise, Cruise_ID1, Cruise_ID2, cruise_no, ctd, data, dataset, date, day, depth, dmo, earth, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, erddap, fluor, fluor_chla, fluor_CTD, id1, id2, laboratory, latitude, longitude, management, month, O2, O2_ml_L, ocean, oceanography, oceans, office, oxygen, potemp, preliminary, press, sal, satellite, science, sea, seawater, sigma, sigma_0, sigma_t, sonde, temperature, time, water, year";
String keywords_vocabulary "GCMD Science Keywords";
String license "https://www.bco-dmo.org/dataset/3092/license";
String metadata_source "https://www.bco-dmo.org/api/dataset/3092";
Float64 Northernmost_Northing 10.683;
String param_mapping "{'3092': {'Latitude': 'flag - latitude', 'depth': 'flag - depth', 'Longitude': 'flag - longitude'}}";
String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3092/parameters";
String people_0_affiliation "University of South Florida";
String people_0_affiliation_acronym "USF";
String people_0_person_name "Dr Frank Muller-Karger";
String people_0_person_nid "50809";
String people_0_role "Lead Principal Investigator";
String people_0_role_type "originator";
String people_10_affiliation "University of South Florida";
String people_10_affiliation_acronym "USF";
String people_10_person_name "Laura Lorenzoni";
String people_10_person_nid "51044";
String people_10_role "Scientist";
String people_10_role_type "originator";
String people_11_affiliation "University of South Florida";
String people_11_affiliation_acronym "USF";
String people_11_person_name "Enrique Montes";
String people_11_person_nid "769548";
String people_11_role "Scientist";
String people_11_role_type "originator";
String people_12_affiliation "Estacion de Investigaciones Marinas de Margarita";
String people_12_affiliation_acronym "EDIMAR-FLASA";
String people_12_person_name "Jaimie Rojas";
String people_12_person_nid "559369";
String people_12_role "Scientist";
String people_12_role_type "originator";
String people_13_affiliation "University of South Florida";
String people_13_affiliation_acronym "USF";
String people_13_person_name "Digna Rueda-Roa";
String people_13_person_nid "647919";
String people_13_role "Scientist";
String people_13_role_type "originator";
String people_14_affiliation "University of South Florida";
String people_14_affiliation_acronym "USF";
String people_14_person_name "Laura Lorenzoni";
String people_14_person_nid "51044";
String people_14_role "Contact";
String people_14_role_type "related";
String people_15_affiliation "University of South Florida";
String people_15_affiliation_acronym "USF";
String people_15_person_name "Digna Rueda-Roa";
String people_15_person_nid "647919";
String people_15_role "Contact";
String people_15_role_type "related";
String people_16_affiliation "Estacion de Investigaciones Marinas de Margarita";
String people_16_affiliation_acronym "EDIMAR-FLASA";
String people_16_person_name "Jesus Narvaez";
String people_16_person_nid "769558";
String people_16_role "Technician";
String people_16_role_type "related";
String people_17_affiliation "Estacion de Investigaciones Marinas de Margarita";
String people_17_affiliation_acronym "EDIMAR-FLASA";
String people_17_person_name "Alberto Rosales";
String people_17_person_nid "769560";
String people_17_role "Technician";
String people_17_role_type "related";
String people_18_affiliation "University of South Carolina";
String people_18_person_name "Eric Tappa";
String people_18_person_nid "769556";
String people_18_role "Technician";
String people_18_role_type "related";
String people_19_affiliation "University of South Florida";
String people_19_affiliation_acronym "USF";
String people_19_person_name "Laura Lorenzoni";
String people_19_person_nid "51044";
String people_19_role "Data Manager";
String people_19_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_20_affiliation "University of South Florida";
String people_20_affiliation_acronym "USF";
String people_20_person_name "Digna Rueda-Roa";
String people_20_person_nid "647919";
String people_20_role "Data Manager";
String people_20_role_type "related";
String people_21_affiliation "Woods Hole Oceanographic Institution";
String people_21_affiliation_acronym "WHOI BCO-DMO";
String people_21_person_name "Mathew Biddle";
String people_21_person_nid "708682";
String people_21_role "BCO-DMO Data Manager";
String people_21_role_type "related";
String people_22_affiliation "Woods Hole Oceanographic Institution";
String people_22_affiliation_acronym "WHOI BCO-DMO";
String people_22_person_name "Theresa McKee";
String people_22_person_nid "51103";
String people_22_role "BCO-DMO Data Manager";
String people_22_role_type "related";
String people_2_affiliation "Estacion de Investigaciones Marinas de Margarita";
String people_2_affiliation_acronym "EDIMAR-FLASA";
String people_2_person_name "Yrene Astor";
String people_2_person_nid "51110";
String people_2_role "Co-Principal Investigator";
String people_2_role_type "originator";
String people_3_affiliation "University of South Carolina";
String people_3_person_name "Claudia R. Benitez-Nelson";
String people_3_person_nid "51092";
String people_3_role "Co-Principal Investigator";
String people_3_role_type "originator";
String people_4_affiliation "Stony Brook University - MSRC";
String people_4_affiliation_acronym "SUNY-SB MSRC";
String people_4_person_name "Dr Mary I. Scranton";
String people_4_person_nid "51057";
String people_4_role "Co-Principal Investigator";
String people_4_role_type "originator";
String people_5_affiliation "Stony Brook University - MSRC";
String people_5_affiliation_acronym "SUNY-SB MSRC";
String people_5_person_name "Gordon T. Taylor";
String people_5_person_nid "51058";
String people_5_role "Co-Principal Investigator";
String people_5_role_type "originator";
String people_6_affiliation "University of South Carolina";
String people_6_person_name "Dr Robert C. Thunell";
String people_6_person_nid "51043";
String people_6_role "Co-Principal Investigator";
String people_6_role_type "originator";
String people_7_affiliation "Estacion de Investigaciones Marinas de Margarita";
String people_7_affiliation_acronym "EDIMAR-FLASA";
String people_7_person_name "Ramon Varela";
String people_7_person_nid "51111";
String people_7_role "Co-Principal Investigator";
String people_7_role_type "originator";
String people_8_affiliation "Estacion de Investigaciones Marinas de Margarita";
String people_8_affiliation_acronym "EDIMAR-FLASA";
String people_8_person_name "Juan Capelo";
String people_8_person_nid "769554";
String people_8_role "Scientist";
String people_8_role_type "originator";
String people_9_affiliation "Estacion de Investigaciones Marinas de Margarita";
String people_9_affiliation_acronym "EDIMAR-FLASA";
String people_9_person_name "Laurencia Guzman";
String people_9_person_nid "769552";
String people_9_role "Scientist";
String people_9_role_type "originator";
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 10.492;
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. During each cruise, a minimum of four hydrocasts were performed to collect a suite of core monthly observations. We conducted separate shallow and deep casts to obtain a better vertical resolution of in-situ Niskin-bottles samples for chemical observations, and for productivity, phytoplankton, and pigment observations. One CTD composite profile was created for each cruise by stitching together the sections of the different cruise's CTD profiles at the depth interval where water samples were obtained. CTD\\u2019s Salinity, Oxygen, and Fluorescence where calibrated with in-situ measurements. The composite CTD profiles dataset is a complement of the hydrographic time series data obtained with the Niskin Bottle Samples (https://www.bco-dmo.org/dataset/3093). The following sections describe the methods used in collecting the core observations at the CARIACO station.";
String title "[CTD Composite Profiles] - Time series composite CTD profiles from R/V Hermano Ginés cruises in the Cariaco Basin from 1995 through 2017 (CARIACO Ocean Time-Series Program)";
String version "1";
Float64 Westernmost_Easting -64.735;
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.