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Dataset Title:  Biogeochemistry and microbiology from the R/V Hermano Gines cruises in the
Cariaco Basin from 1995 to 2015 (CARIACO Ocean Time-Series Program)
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Institution:  BCO-DMO   (Dataset ID: bcodmo_dataset_3120)
Information:  Summary ? | License ? | ISO 19115 | Metadata | Background (external link) | Files | Make a graph
 
Variable ?   Optional
Constraint #1 ?
Optional
Constraint #2 ?
   Minimum ?
 
   Maximum ?
 
 year (unitless) ?          1995    2015
 time (ISO Date Time UTC, UTC) ?          1995-11-14T02:30:00Z    2015-11-15T11:56:00Z
  < slider >
 ISO_DateTime_local (unitless) ?          "1995-11-13T22:30:00"    "2015-11-15T07:26:00"
 month (unitless) ?          1    12
 day (unitless) ?          1    31
 hour (unitless) ?          "00:00:00"    "23:51:00"
 Date (unitless) ?          "1995-11-13"    "2015-11-15"
 decimal_year (unitless) ?          1995.8661    2015.8716
 longitude (degrees_east) ?          -65.587    -64.54
  < slider >
 latitude (degrees_north) ?          10.45    10.716
  < slider >
 Cruise_number (unitless) ?          1    224
 Cruise_Leg (unitless) ?          1    4
 Station (unitless) ?          "B"    "D"
 Cast_number (unitless) ?          1    5
 Biogeochemical_Cruise_ID (unitless) ?          "CAR-1"    "CAR-96"
 Core_CARIACO_ID (unitless) ?          "93HG_1"    "93HG_96"
 Notes (unitless) ?          "Cast 1: 14 Novemb..."    "cast 4: 8 July 199..."
 Comments (unitless) ?          "Although silicone ..."    "nan"
 Depth (meters) ?          7    1310
 depth (Corrected Depth, m) ?          4.0    1353.0
  < slider >
 Winkler_O2_avg (micromoles per liter) ?          "-0.046149727848666"    "n.a."
 Winkler_O2_flags (unitless) ?          "a"    "n.f."
 NO3 (micromoles per liter) ?          "-0.00283847479369945"    "n.a."
 NO2 (micromoles per liter) ?          "0"    "n.a."
 NH4 (micromoles per liter) ?          "0"    "n.a."
 PO4 (micromoles per liter) ?          "0"    "n.a."
 H2S (micromoles per liter) ?          "0"    "n.a."
 H2S_comment (unitless) ?          "a"    "nan"
 CH4 (micromoles per liter) ?          "0"    "n.a."
 CH4_comment (unitless) ?          "a"    "nan"
 Acetate (micromoles per liter) ?          "0.1"    "nan"
 Propionate (micromoles per liter) ?          "1157.142857142857"    "nan"
 Incorporation_Acetate_Uptake_rate_constant (per day (d-1)) ?          "0"    "n.s."
 Respiration_Acetate_Uptake_rate_constant (per day (d-1)) ?          "0"    "n.s."
 Total_Acetate_uptake_rate_constant (per day (d-1)) ?          "0"    "n.a."
 Sulfite (micromoles per liter) ?          "-0.03129814511356506"    "n.a."
 SD_Sulfite (micromoles per liter) ?          "0"    "n.a."
 Thiosulfate (micromoles per liter) ?          "-0.01391928101331935"    "n.a."
 SD_Thiosulfate (micromoles per liter) ?          "0"    "n.a."
 Particulate_Elemental_sulfur (micromoles per liter) ?          "0"    "n.a."
 SD_Particulate_Elemental_sulfur (micromoles per liter) ?          "0"    "n.a."
 Particulate_element_sulfur_flags (unitless) ?          "a"    "n.f."
 Total_zero_valent_sulfur (micromoles per liter) ?          "0"    "n.a."
 SD_Total_zero_valent_sulfur (micromoles per liter) ?          "0"    "n.a."
 Total_zero_valent_Sulfur_flags (unitless) ?          "a"    "n.f."
 Total_Prokaryote_Cell_Density (cells per liter) ?          "100650511.96184151"    "n.a."
 SD_Total_Prokaryotes (cells per liter) ?          "100013210.06193325"    "n.a."
 Total_Prokaryote_Biomass_Estimates (microgram C per liter) ?          "0.24871695667240873"    "n.a."
 SD_Prokaryote_Biomass_Estimates (microgram C per liter) ?          "0.038127781284900644"    "n.a."
 Cyanobacteria (cells per liter) ?          "1030000"    "n.a."
 SD_Cyanobacteria (cells per liter) ?          "102000"    "n.a."
 Methanogens (cells per liter) ?          "1050000"    "n.a."
 SD_Methanogens (cells per liter) ?          "102000"    "n.a."
 Flagellated_Protists (cells per liter) ?          "0"    "n.a."
 SD_Flagellated_Protists (cells per liter) ?          "0"    "n.a."
 Ciliated_Protists (cells per liter) ?          "0"    "n.a."
 SD_Ciliated_Protists (cells per liter) ?          "0"    "n.a."
 Viral_Like_Particles_VLP (cells per liter) ?          "1048211850.7723297"    "n.a."
 SD_Viral_Like_Particles_VLP (cells per liter) ?          "10067.601073870843"    "n.a."
 Heterotrophic_Bacterial_Production (microgram C per L per day) ?          "0"    "n.a."
 SD_Heterotrophic_Bacterial_Production (microgram C per L per day) ?          "0"    "n.a."
 Dark_carbon_fixation_rate (micrograms C per Liter per day) ?          "0"    "n.a."
 SD_Dark_carbon_fixation_rate (micrograms C per Liter per day) ?          "0"    "n.a."
 dissolved_Mn (nmol/L) ?          "0"    "n.a."
 SD_dissolved_Mn (nmol/L) ?          "0.02279042509066606"    "nan"
 dissolved_Fe (nmol/L) ?          "0"    "n.a."
 SD_dissolved_Fe (nmol/L) ?          "0"    "n.a."
 
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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  year {
    Int16 _FillValue 32767;
    Int16 actual_range 1995, 2015;
    String bcodmo_name "year";
    String description "year";
    String long_name "Year";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 8.163162e+8, 1.44758856e+9;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "Date and time formatted according to ISO8601";
    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";
  }
  ISO_DateTime_local {
    String bcodmo_name "ISO_DateTime_Local";
    String description "Date and Time in local time (UTC/GMT - 4) represented following ISO8601 format.";
    String long_name "ISO Date Time Local";
    String time_precision "1970-01-01T00:00:00Z";
    String units "unitless";
  }
  month {
    Byte _FillValue 127;
    Byte actual_range 1, 12;
    String bcodmo_name "month";
    String description "month";
    String long_name "Month";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "unitless";
  }
  day {
    Byte _FillValue 127;
    Byte actual_range 1, 31;
    String bcodmo_name "day";
    String description "day";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "unitless";
  }
  hour {
    String bcodmo_name "unknown";
    String description "hour of deployment";
    String long_name "Hour";
    String units "unitless";
  }
  Date {
    String bcodmo_name "date";
    String description "Date formatted in YYYY-MM-DD";
    String long_name "Date";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/";
    String time_precision "1970-01-01";
    String units "unitless";
  }
  decimal_year {
    Float64 _FillValue NaN;
    Float64 actual_range 1995.8661, 2015.8716;
    String bcodmo_name "year_decimal";
    String description "year as a decimal number";
    String long_name "Decimal Year";
    String units "unitless";
  }
  longitude {
    String _CoordinateAxisType "Lon";
    Float64 _FillValue NaN;
    Float64 actual_range -65.587, -64.54;
    String axis "X";
    String bcodmo_name "longitude";
    Float64 colorBarMaximum 180.0;
    Float64 colorBarMinimum -180.0;
    String description "longitude. Positive values indicate 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";
  }
  latitude {
    String _CoordinateAxisType "Lat";
    Float64 _FillValue NaN;
    Float64 actual_range 10.45, 10.716;
    String axis "Y";
    String bcodmo_name "latitude";
    Float64 colorBarMaximum 90.0;
    Float64 colorBarMinimum -90.0;
    String description "Latitude. Positive values indicate 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";
  }
  Cruise_number {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 224;
    String bcodmo_name "cruise_id";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "cruise number identifier";
    String long_name "Cruise Number";
    String units "unitless";
  }
  Cruise_Leg {
    Byte _FillValue 127;
    Byte actual_range 1, 4;
    String bcodmo_name "leg";
    String description "cruise leg identifier";
    String long_name "Cruise Leg";
    String units "unitless";
  }
  Station {
    String bcodmo_name "station";
    String description "station identifier";
    String long_name "Station";
    String units "unitless";
  }
  Cast_number {
    Byte _FillValue 127;
    Byte actual_range 1, 5;
    String bcodmo_name "cast";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "Cast identifier";
    String long_name "Cast Number";
    String units "unitless";
  }
  Biogeochemical_Cruise_ID {
    String bcodmo_name "cruise_id";
    String description "Biogeochemical cruise identifier";
    String long_name "Biogeochemical Cruise ID";
    String units "unitless";
  }
  Core_CARIACO_ID {
    String bcodmo_name "cruise_id";
    String description "Core CARIACO_ID";
    String long_name "Core CARIACO ID";
    String units "unitless";
  }
  Notes {
    String bcodmo_name "comment";
    String description "additional notes";
    String long_name "Notes";
    String units "unitless";
  }
  Comments {
    String bcodmo_name "comment";
    String description "additional notes";
    String long_name "Comments";
    String units "unitless";
  }
  Depth {
    Int16 _FillValue 32767;
    Int16 actual_range 7, 1310;
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "Depth";
    String long_name "Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String standard_name "depth";
    String units "meters";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 4.0, 1353.0;
    String axis "Z";
    String bcodmo_name "depth";
    String description "Corrected Depth";
    String ioos_category "Location";
    String long_name "Corrected Depth";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P09/current/DEPH/";
    String positive "down";
    String standard_name "depth";
    String units "m";
  }
  Winkler_O2_avg {
    String bcodmo_name "dissolved Oxygen";
    String description "Oxygen";
    String long_name "Winkler O2 Avg";
    String units "micromoles per liter";
  }
  Winkler_O2_flags {
    String bcodmo_name "flag";
    String description "Oxygen flag";
    String long_name "Winkler O2 Flags";
    String units "unitless";
  }
  NO3 {
    String bcodmo_name "NO3";
    String description "Nitrate";
    String long_name "NO3";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "micromoles per liter";
  }
  NO2 {
    String bcodmo_name "NO2";
    String description "Nitrite";
    String long_name "NO2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/";
    String units "micromoles per liter";
  }
  NH4 {
    String bcodmo_name "Ammonium";
    String description "Ammonium";
    String long_name "NH4";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromoles per liter";
  }
  PO4 {
    String bcodmo_name "PO4";
    String description "Phosphate";
    String long_name "PO4";
    String units "micromoles per liter";
  }
  H2S {
    String bcodmo_name "unknown";
    String description "Hydrogen sulfide";
    String long_name "H2 S";
    String units "micromoles per liter";
  }
  H2S_comment {
    String bcodmo_name "comment";
    String description "Hydrogen sulfide comment";
    String long_name "H2 S Comment";
    String units "unitless";
  }
  CH4 {
    String bcodmo_name "CH4";
    String description "Methane";
    String long_name "CH4";
    String units "micromoles per liter";
  }
  CH4_comment {
    String bcodmo_name "comment";
    String description "methane comment";
    String long_name "CH4 Comment";
    String units "unitless";
  }
  Acetate {
    String bcodmo_name "unknown";
    String description "Acetate";
    String long_name "Acetate";
    String units "micromoles per liter";
  }
  Propionate {
    String bcodmo_name "unknown";
    String description "Propionate";
    String long_name "Propionate";
    String units "micromoles per liter";
  }
  Incorporation_Acetate_Uptake_rate_constant {
    String bcodmo_name "unknown";
    String description "Acetate uptake rate constant (Incorporation)";
    String long_name "Incorporation Acetate Uptake Rate Constant";
    String units "per day (d-1)";
  }
  Respiration_Acetate_Uptake_rate_constant {
    String bcodmo_name "unknown";
    String description "Acetate uptake rate constant (Respiration)";
    String long_name "Respiration Acetate Uptake Rate Constant";
    String units "per day (d-1)";
  }
  Total_Acetate_uptake_rate_constant {
    String bcodmo_name "unknown";
    String description "Acetate uptake rate constant (Total)";
    String long_name "Total Acetate Uptake Rate Constant";
    String units "per day (d-1)";
  }
  Sulfite {
    String bcodmo_name "unknown";
    String description "Sulfite";
    String long_name "Sulfite";
    String units "micromoles per liter";
  }
  SD_Sulfite {
    String bcodmo_name "unknown";
    String description "Sulfite standard deviation";
    String long_name "SD Sulfite";
    String units "micromoles per liter";
  }
  Thiosulfate {
    String bcodmo_name "unknown";
    String description "Thiosulfate";
    String long_name "Thiosulfate";
    String units "micromoles per liter";
  }
  SD_Thiosulfate {
    String bcodmo_name "unknown";
    String description "Thiosulfate standard deviation";
    String long_name "SD Thiosulfate";
    String units "micromoles per liter";
  }
  Particulate_Elemental_sulfur {
    String bcodmo_name "S";
    String description "Particulate Elemental sulfur";
    String long_name "Particulate Elemental Sulfur";
    String units "micromoles per liter";
  }
  SD_Particulate_Elemental_sulfur {
    String bcodmo_name "S";
    String description "Particulate Elemental sulfur standard deviation";
    String long_name "SD Particulate Elemental Sulfur";
    String units "micromoles per liter";
  }
  Particulate_element_sulfur_flags {
    String bcodmo_name "flag";
    String description "particulate Elemental sulfur flag";
    String long_name "Particulate Element Sulfur Flags";
    String units "unitless";
  }
  Total_zero_valent_sulfur {
    String bcodmo_name "S";
    String description "Total zero valent sulfur";
    String long_name "Total Zero Valent Sulfur";
    String units "micromoles per liter";
  }
  SD_Total_zero_valent_sulfur {
    String bcodmo_name "S";
    String description "Total zero valent sulfur standard deviation";
    String long_name "SD Total Zero Valent Sulfur";
    String units "micromoles per liter";
  }
  Total_zero_valent_Sulfur_flags {
    String bcodmo_name "flag";
    String description "total zero valent sulfur flag";
    String long_name "Total Zero Valent Sulfur Flags";
    String units "unitless";
  }
  Total_Prokaryote_Cell_Density {
    String bcodmo_name "unknown";
    String description "Total Prokaryotes";
    String long_name "Total Prokaryote Cell Density";
    String units "cells per liter";
  }
  SD_Total_Prokaryotes {
    String bcodmo_name "unknown";
    String description "Total Prokaryotes standard deviation";
    String long_name "SD Total Prokaryotes";
    String units "cells per liter";
  }
  Total_Prokaryote_Biomass_Estimates {
    String bcodmo_name "unknown";
    String description "Total Prokaryotes";
    String long_name "Total Prokaryote Biomass Estimates";
    String units "microgram C per liter";
  }
  SD_Prokaryote_Biomass_Estimates {
    String bcodmo_name "unknown";
    String description "Total Prokaryotes standard deviation";
    String long_name "SD Prokaryote Biomass Estimates";
    String units "microgram C per liter";
  }
  Cyanobacteria {
    String bcodmo_name "unknown";
    String description "Cyanobacteria";
    String long_name "Cyanobacteria";
    String units "cells per liter";
  }
  SD_Cyanobacteria {
    String bcodmo_name "unknown";
    String description "Cyanobacteria standard deviation";
    String long_name "SD Cyanobacteria";
    String units "cells per liter";
  }
  Methanogens {
    String bcodmo_name "unknown";
    String description "Methanogens";
    String long_name "Methanogens";
    String units "cells per liter";
  }
  SD_Methanogens {
    String bcodmo_name "unknown";
    String description "Methanogens standard deviation";
    String long_name "SD Methanogens";
    String units "cells per liter";
  }
  Flagellated_Protists {
    String bcodmo_name "unknown";
    String description "Flagellated Protists";
    String long_name "Flagellated Protists";
    String units "cells per liter";
  }
  SD_Flagellated_Protists {
    String bcodmo_name "unknown";
    String description "Flagellated Protists standard deviation";
    String long_name "SD Flagellated Protists";
    String units "cells per liter";
  }
  Ciliated_Protists {
    String bcodmo_name "unknown";
    String description "Ciliated Protists";
    String long_name "Ciliated Protists";
    String units "cells per liter";
  }
  SD_Ciliated_Protists {
    String bcodmo_name "unknown";
    String description "Ciliated Protists standard deviation";
    String long_name "SD Ciliated Protists";
    String units "cells per liter";
  }
  Viral_Like_Particles_VLP {
    String bcodmo_name "unknown";
    String description "Viral-Like Particles";
    String long_name "Viral Like Particles VLP";
    String units "cells per liter";
  }
  SD_Viral_Like_Particles_VLP {
    String bcodmo_name "unknown";
    String description "Viral-Like Particles standard deviation";
    String long_name "SD Viral Like Particles VLP";
    String units "cells per liter";
  }
  Heterotrophic_Bacterial_Production {
    String bcodmo_name "unknown";
    String description "Heterotrophic Bacterial Production";
    String long_name "Heterotrophic Bacterial Production";
    String units "microgram C per L per day";
  }
  SD_Heterotrophic_Bacterial_Production {
    String bcodmo_name "unknown";
    String description "Heterotrophic Bacterial Production standard deviation";
    String long_name "SD Heterotrophic Bacterial Production";
    String units "microgram C per L per day";
  }
  Dark_carbon_fixation_rate {
    String bcodmo_name "unknown";
    String description "Dark carbon fixation rate";
    String long_name "Dark Carbon Fixation Rate";
    String units "micrograms C per Liter per day";
  }
  SD_Dark_carbon_fixation_rate {
    String bcodmo_name "unknown";
    String description "Dark carbon fixation rate standard deviation";
    String long_name "SD Dark Carbon Fixation Rate";
    String units "micrograms C per Liter per day";
  }
  dissolved_Mn {
    String bcodmo_name "Mn";
    String description "Dissolved Manganese";
    String long_name "Dissolved Mn";
    String units "nmol/L";
  }
  SD_dissolved_Mn {
    String bcodmo_name "Mn";
    String description "Dissolved Manganese standard deviation";
    String long_name "SD Dissolved Mn";
    String units "nmol/L";
  }
  dissolved_Fe {
    String bcodmo_name "Fe";
    String description "Dissolved Iron";
    String long_name "Dissolved Fe";
    String units "nmol/L";
  }
  SD_dissolved_Fe {
    String bcodmo_name "Fe";
    String description "Dissolved Iron standard deviation";
    String long_name "SD Dissolved Fe";
    String units "nmol/L";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    String acquisition_description 
"## Sampling
 
Ocean time series samples are collected in standard 8L Niskin bottles. For
samples in and below the oxycline, a nitrogen line is attached to the upper
air vent to prevent air from entering the bottle during subsampling. Samples
for live analysis are first transferred without headspace to a 1L glass sample
bottle with Teflon standard taper stopper. In the ship's lab, subsamples are
transferred to 25 or 40 ml incubation vials, also under nitrogen. All vials
are filled from the bottom with overflow of about 3 vial volumes and then
sealed with no headspace.
 
Low molecular weight fatty acids: Volatile fatty acids are measured using the
technique developed by Yang (1991), Yang et al. (1993) and Wu and Scranton
(1994). Detection limits are about 1 (M for acetate). However, in some cases,
deep water values are lower than 1 micromolar for acetate in which case we
have estimated blanks in individual files. Samples are poisoned with 1 ml 10N
KOH per liter.
 
Fatty acid uptake rate constants: Acetate uptake rate constants are determined
using radiolabeled tracers as described by Wu and Scranton (1994). Incubations
are done anoxically in the dark in screw-top septum vials. Uptake includes
both conversion of isotope to CO2 (respiration) and to biomass which can be
filtered onto a 0.2 m Nuclepore filter (incorporation).
 
### CH4:
 
CH4 is assayed by gas chromatography using the vial equilibration technique of
Johnson et al. (1990) and a Carle 211AC gas chromatograph. Samples are
poisoned by addition of 10N KOH solution at a rate of 200 l per 50 ml vial.
 
### H2S:
 
Samples for sulfide analysis are taken in well-flushed glass syringes without
bubbles and are injected into vials containing Zn-acetate. Upon return to the
laboratory, the ZnS is dissolved and is analyzed spectrophotometrically by the
method of Cline (1969).
 
### Microbial census:
 
Abundances of remineralizers (bacteria) and regenerators (protozoa) are
determined using microscopic censuses. Preserved samples (2% formaldehyde) are
stained with a fluorochrome (DAPI or acridine orange) and captured on the
appropriate porosity Nuclepore membrane (0.2 or 0.8 m). Filter-retained cells
are enumerated and sized by epifluorescence microscopy according to Taylor et
al. (1986). Larger, less abundant protozoa are enumerated on settled samples
using inverted microscopy. Abundance and distribution of methanogens are
determined by an autofluorescence microscopic technique whereby the
fluorescence of coenzymes F420 and F350 in cells produced by two sets of
excitation and barrier filters is considered presumptive identification of
methanogens (Doddema and Vogels 1978).
 
### Bacterial production:
 
Bacterial incorporation is measured using 3H-leucine incorporation as
described by Kirchman (1993). Triplicate samples are incubated for 10-12 h in
gas-tight screw-top vials to minimized alteration of the redox potential. Time
course experiments have confirmed that uptake is linear for at least 15 hours.
Due to the fact that some important anaerobic bacteria appear to not take up
exogenous thymidine under anoxic conditions (McDonough et al. 1986; Gilmour et
al. 1990), the more common method of Fuhrman and Azam (1982) is inappropriate
for this system.";
    String awards_0_award_nid "54791";
    String awards_0_award_number "OCE-0326268";
    String awards_0_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0326268";
    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_1_award_nid "54828";
    String awards_1_award_number "OCE-9711318";
    String awards_1_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9711318";
    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 "54835";
    String awards_2_award_number "OCE-9415790";
    String awards_2_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9415790";
    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 "54919";
    String awards_3_award_number "OCE-0752139";
    String awards_3_data_url "http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0752139";
    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 cdm_data_type "Other";
    String comment 
"CARIACO Time-series biogeochemistry and microbiology measurements in the CARIACO Basin 
  
 n.a. = not available 
 b.d. = winkler titration or sulfide analysis gave negative number 
 SD = calculated standard deviation  
 lost = sample lost 
 n.s. = correlation coefficient for slope of acetate uptake or respiration <0.8; therefore rate not significant 
  
 FLAGS 
 n.f. = no flag 
 a = Below reported detection limit (details in metadata file) 
 b = No replicates 
 c = flag included if precision >10% AND concentrations > 2 micromoles per liter H2S OR 0.05 micromoles per liter CH4 
 d = flag included if precision >20% AND concentrations > 2 micromoles per liter H2S OR 0.05 micromoles per liter for CH4 
 e = TZVS samples extracted for 60 minutes rather than 30 minutes 
  
 PI: Mary Scranton and Gordon T. Taylor 
  
 Version: 2019-06-03 
 Previous version 2018-12-07 
 Previous version 5 May 2016 
 Previous version 13 June 2012 
 Previous version 3 January 2010";
    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 "2019-06-07T15:01:13Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.3120.1";
    Float64 Easternmost_Easting -64.54;
    Float64 geospatial_lat_max 10.716;
    Float64 geospatial_lat_min 10.45;
    String geospatial_lat_units "degrees_north";
    Float64 geospatial_lon_max -64.54;
    Float64 geospatial_lon_min -65.587;
    String geospatial_lon_units "degrees_east";
    Float64 geospatial_vertical_max 1353.0;
    Float64 geospatial_vertical_min 4.0;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-04-19T08:05:43Z (local files)
2024-04-19T08:05:43Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3120.html";
    String infoUrl "https://www.bco-dmo.org/dataset/3120";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_nid "4870";
    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_acronym "Gas Chromatograph";
    String instruments_1_dataset_instrument_description "CH4 is assayed by gas chromatography using the vial equilibration technique of Johnson et al. (1990) and a Carle 211AC gas chromatograph.";
    String instruments_1_dataset_instrument_nid "769439";
    String instruments_1_description "Instrument separating gases, volatile substances, or substances dissolved in a volatile solvent by transporting an inert gas through a column packed with a sorbent to a detector for assay. (from SeaDataNet, BODC)";
    String instruments_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB02/";
    String instruments_1_instrument_name "Gas Chromatograph";
    String instruments_1_instrument_nid "661";
    String instruments_1_supplied_name "Carle 211AC gas chromatograph";
    String instruments_2_acronym "Spectrophotometer";
    String instruments_2_dataset_instrument_description "Upon return to the laboratory, the ZnS is dissolved and is analyzed spectrophotometrically by the method of Cline (1969).";
    String instruments_2_dataset_instrument_nid "769440";
    String instruments_2_description "An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples.";
    String instruments_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB20/";
    String instruments_2_instrument_name "Spectrophotometer";
    String instruments_2_instrument_nid "707";
    String instruments_2_supplied_name "spectrophotometrically";
    String keywords "acetate, ammonium, average, bacterial, bco, bco-dmo, biogeochemical, Biogeochemical_Cruise_ID, biological, biomass, carbon, cariaco, cast, Cast_number, cell, ch4, CH4_comment, chemical, ciliated, Ciliated_Protists, comment, comments, constant, core, Core_CARIACO_ID, corrected, Corrected_Depth, cruise, Cruise_Leg, Cruise_number, cyanobacteria, dark, Dark_carbon_fixation_rate, data, dataset, date, day, decimal, decimal_year, density, depth, dissolved, dissolved_Fe, dissolved_Mn, dmo, element, elemental, erddap, estimates, fixation, flagellated, Flagellated_Protists, flags, H2S, H2S_comment, heterotrophic, Heterotrophic_Bacterial_Production, hour, incorporation, Incorporation_Acetate_Uptake_rate_constant, iso, ISO_DateTime_local, latitude, leg, like, local, longitude, management, methanogens, month, nh4, nitrate, nitrite, no2, no3, notes, number, O2, oceanography, office, oxygen, particles, particulate, Particulate_element_sulfur_flags, Particulate_Elemental_sulfur, phosphate, po4, preliminary, production, prokaryote, prokaryotes, propionate, protists, rate, respiration, Respiration_Acetate_Uptake_rate_constant, SD_Ciliated_Protists, SD_Cyanobacteria, SD_Dark_carbon_fixation_rate, SD_dissolved_Fe, SD_dissolved_Mn, SD_Flagellated_Protists, SD_Heterotrophic_Bacterial_Production, SD_Methanogens, SD_Particulate_Elemental_sulfur, SD_Prokaryote_Biomass_Estimates, SD_Sulfite, SD_Thiosulfate, SD_Total_Prokaryotes, SD_Total_zero_valent_sulfur, SD_Viral_Like_Particles_VLP, station, sulfite, sulfur, thiosulfate, time, total, Total_Acetate_uptake_rate_constant, Total_Prokaryote_Biomass_Estimates, Total_Prokaryote_Cell_Density, Total_zero_valent_sulfur, Total_zero_valent_Sulfur_flags, uptake, valent, viral, Viral_Like_Particles_VLP, vlp, winkler, Winkler_O2_avg, Winkler_O2_flags, year, zero";
    String license "https://www.bco-dmo.org/dataset/3120/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3120";
    Float64 Northernmost_Northing 10.716;
    String param_mapping "{'3120': {'Corrected_Depth': 'flag - depth', 'Latitude': 'flag - latitude', 'Longitude': 'flag - longitude', 'ISO_DateTime_UTC': 'flag - time'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3120/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 "Co-Principal Investigator";
    String people_0_role_type "originator";
    String people_10_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_10_affiliation_acronym "EDIMAR-FLASA";
    String people_10_person_name "Jesus Narvaez";
    String people_10_person_nid "769558";
    String people_10_role "Technician";
    String people_10_role_type "related";
    String people_11_affiliation "University of South Florida";
    String people_11_affiliation_acronym "USF";
    String people_11_person_name "Laura Lorenzoni";
    String people_11_person_nid "51044";
    String people_11_role "Data Manager";
    String people_11_role_type "related";
    String people_12_affiliation "University of South Florida";
    String people_12_affiliation_acronym "USF";
    String people_12_person_name "Digna Rueda-Roa";
    String people_12_person_nid "647919";
    String people_12_role "Data Manager";
    String people_12_role_type "related";
    String people_13_affiliation "Woods Hole Oceanographic Institution";
    String people_13_affiliation_acronym "WHOI BCO-DMO";
    String people_13_person_name "Mathew Biddle";
    String people_13_person_nid "708682";
    String people_13_role "BCO-DMO Data Manager";
    String people_13_role_type "related";
    String people_14_affiliation "Woods Hole Oceanographic Institution";
    String people_14_affiliation_acronym "WHOI BCO-DMO";
    String people_14_person_name "Danie Kinkade";
    String people_14_person_nid "51549";
    String people_14_role "BCO-DMO Data Manager";
    String people_14_role_type "related";
    String people_15_affiliation "Woods Hole Oceanographic Institution";
    String people_15_affiliation_acronym "WHOI BCO-DMO";
    String people_15_person_name "Theresa McKee";
    String people_15_person_nid "51103";
    String people_15_role "BCO-DMO Data Manager";
    String people_15_role_type "related";
    String people_1_affiliation "University of South Florida";
    String people_1_affiliation_acronym "USF";
    String people_1_person_name "Kristen N. Buck";
    String people_1_person_nid "51624";
    String people_1_role "Co-Principal Investigator";
    String people_1_role_type "originator";
    String people_2_affiliation "University of South Florida";
    String people_2_affiliation_acronym "USF";
    String people_2_person_name "Kent Fanning";
    String people_2_person_nid "50507";
    String people_2_role "Co-Principal Investigator";
    String people_2_role_type "originator";
    String people_3_affiliation "University of South Florida";
    String people_3_affiliation_acronym "USF";
    String people_3_person_name "Dr Frank Muller-Karger";
    String people_3_person_nid "50809";
    String people_3_role "Co-Principal Investigator";
    String people_3_role_type "originator";
    String people_4_affiliation "Stony Brook University - SoMAS";
    String people_4_affiliation_acronym "SUNY-SB SoMAS";
    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 - SoMAS";
    String people_5_affiliation_acronym "SUNY-SB SoMAS";
    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 "Estacion de Investigaciones Marinas de Margarita";
    String people_6_affiliation_acronym "EDIMAR-FLASA";
    String people_6_person_name "Ramon Varela";
    String people_6_person_nid "51111";
    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 "Jaimie Rojas";
    String people_7_person_nid "559369";
    String people_7_role "Scientist";
    String people_7_role_type "originator";
    String people_8_affiliation "University of South Florida";
    String people_8_affiliation_acronym "USF";
    String people_8_person_name "Laura Lorenzoni";
    String people_8_person_nid "51044";
    String people_8_role "Contact";
    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 "Contact";
    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 10.45;
    String standard_name_vocabulary "CF Standard Name Table v55";
    String summary "Biogeochemistry and microbiology measurements in the Cariaco Basin. Microbiology sampling were conducted during special CARIACO cruises (distinct from the monthly, core sampling, time-series cruises) from November 1995 to November 2015. The specialized microbiology cruises were usually during May and November, and could be opportunistic or process-driven. There were typically at least 2 cruises per year, during which different variables were sampled and at different depths from the standard monthly CARIACO cruises. Bacteria production data were also reported for the microbiology cruises.";
    String time_coverage_end "2015-11-15T11:56:00Z";
    String time_coverage_start "1995-11-14T02:30:00Z";
    String title "Biogeochemistry and microbiology from the R/V Hermano Gines cruises in the Cariaco Basin from 1995 to 2015 (CARIACO Ocean Time-Series Program)";
    String version "1";
    Float64 Westernmost_Easting -65.587;
    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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