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Dataset Title:	[Niskin bottle samples] - Time-series Niskin-bottle sample data from R/V Hermano Gines cruises in the Cariaco Basin from 1995 through 2017 (CARIACO Ocean Time-Series Program)
Institution:	BCO-DMO   (Dataset ID: bcodmo_dataset_3093)
Information:	Summary | License | FGDC | ISO 19115 | Metadata | Background | Files | Make a graph

 

Variable	Optional Constraint #1		Optional Constraint #2		Minimum	Maximum
Cruise_number (integer (nnn))	!= =~ <= >= = < >		!= =~ <= >= = < >		1	232
Cruise_ID_1 (alphanumeric)	!= =~ <= >= = < >		!= =~ <= >= = < >		"93HG_001"	"93HG_232"
Cruise_ID_2 (alphanumeric)	!= =~ <= >= = < >		!= =~ <= >= = < >		"CAR-001"	"CAR-232"
Leg (integer (n))	!= =~ <= >= = < >		!= =~ <= >= = < >		1	4
Day (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	29
Month (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1	12
Year (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		1995	2017
latitude (degrees_north)	!= =~ <= >= = < >		!= =~ <= >= = < >		10.492	10.683
longitude (degrees_east)	!= =~ <= >= = < >		!= =~ <= >= = < >		-64.735	-64.367
Hydro_cast_no (integer (n))	!= =~ <= >= = < >		!= =~ <= >= = < >		0	5
Depth_target (Depth, meters (m))	!= =~ <= >= = < >		!= =~ <= >= = < >		1	1320
depth (m)	!= =~ <= >= = < >		!= =~ <= >= = < >		0.349	1351.0
O2_ml_L (milliliters/liter (ml/L))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.00215409	6.19122
q_O2_ml_L (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
O2_umol_kg (micromoles/kilogram (μmol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	269.659
q_O2_umol_kg (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"NaN"
NO3_UDO (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.09	27.4795
q_NO3_UDO (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1"
PO4_UDO (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	27.54
q_PO4_UDO (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"0v"
SiO4_UDO (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.11	159.728
q_SiO4_UDO (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
NH4_USF (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.00478627	35.9836
q_NH4_USF (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1"
NO2_USF (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.00496693	2.3689
q_NO2_USF (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1"
NO3_NO2_USF (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.00495164	40.2927
q_NO3_NO3_USF (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1"
PO4_USF (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	5.5234
q_PO4_USF (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
SiO4_USF (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.00401398	102.474
q_SiO4_USF (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
pH (ion scale (pH))	!= =~ <= >= = < >		!= =~ <= >= = < >		7.13674	8.29203
q_pH (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
Alkalinity_mol_kg (moles/kilogram (mol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.00114246	0.00337162
q_Alkalinity_mol_kg (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
Alkalinity_umol_kg (micromoles/kilogram (μmol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1142.46	3371.62
q_Alkalinity_umol_kg (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
TCO2 (micromoles/kilogram (μmol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1060.8	2980.17
q_TCO2 (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
fCO2 (microatmospheres (μatm))	!= =~ <= >= = < >		!= =~ <= >= = < >		196.861	3366.15
q_fCO2 (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
pH_corrected (ion scale (pH))	!= =~ <= >= = < >		!= =~ <= >= = < >		7.15136	8.35211
q_pH_corrected (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
TCO2_corrected (micromoles/kilogram (μmol/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		1059.69	2970.66
q_TCO2_corrected (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
fCO2_corrected (microatmospheres (μatm))	!= =~ <= >= = < >		!= =~ <= >= = < >		162.828	3258.11
q_fCO2_corrected (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
Salinity_bottles (PSU (PSU))	!= =~ <= >= = < >		!= =~ <= >= = < >		35.8417	37.0703
q_Salinity_bottles (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
Salinity_CTD (PSU (PSU))	!= =~ <= >= = < >		!= =~ <= >= = < >		35.8345	37.6541
q_Salinity_CTD (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
Temperature (degrees Celsius (degC (°C)))	!= =~ <= >= = < >		!= =~ <= >= = < >		17.0435	30.0623
q_Temperature (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
Sigma_t (kilograms/meter^3 (Kg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		18.8566	26.742
q_Sigma_t (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
TPP (nanomolar (nM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	520.908
q_TPP (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
PIP (nanomolar (nM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	223.198
q_PIP (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
POC_ug_kg (micrograms/liter (μg/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.706958	769.013
q_POC_ug_kg (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
PON_ug_kg (micrograms/liter (μg/kg))	!= =~ <= >= = < >		!= =~ <= >= = < >		-5.72252	259.432
q_PON_ug_kg (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
POC_ug_L (micrograms/liter (μg/L))	!= =~ <= >= = < >		!= =~ <= >= = < >		-153.518	1898.19
q_POC_ug_L (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1"
PN_ug_L (micrograms/liter (μg/L))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.689917	750.476
q_PN_ug_L (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
C_N_particulate (mole/mole (mol/mol))	!= =~ <= >= = < >		!= =~ <= >= = < >		-5.58458	253.179
q_C_N_particulate (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"0"	"1v"
DON (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.195968	32.2009
q_DON (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
DOP (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		-0.00281393	1.41415
q_DOP (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
DOC (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		7.57741	19183.0
q_DOC (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
TOC (micromolar (μM))	!= =~ <= >= = < >		!= =~ <= >= = < >		24.8917	6538.33
q_TOC (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
PrimaryProductivity (milligrams Carbon/meter^3/hour (mgC/m^3/hr))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.0	65.445
q_PrimaryProductivity (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
Chlorophyll (milligrams/meter^3 (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.01	24.7812
q_Chlorophyll (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
Phaeopigments (milligrams/meter^3 (mg/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		0.02	7.53675
q_Phaeopigments (dimensionless)	!= =~ <= >= = < >		!= =~ <= >= = < >		0	1
Total_Prokaryotes ((cells/L )10^8 ((cells_x_10^8/L)))	!= =~ <= >= = < >		!= =~ <= >= = < >		"0.0065"	"NaN"
Bact_Biomass_mgC_m3 (milligrams Carbon/meter^3 (mgC/m^3))	!= =~ <= >= = < >		!= =~ <= >= = < >		"0.0311"	"NaN"
Bact_Biomass_uMC (microMolar Carbon (μMC))	!= =~ <= >= = < >		!= =~ <= >= = < >		"0.0026"	"NaN"
Bio_cast_no (integer (n))	!= =~ <= >= = < >		!= =~ <= >= = < >		0	6
ISO_DateTime_start_hc_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1995-11-08T06:12:00"	"NaN"
ISO_DateTime_end_hc_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1995-11-08T06:38:00"	"NaN"
ISO_DateTime_start_bc_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1995-11-08T03:36:00"	"NaN"
ISO_DateTime_end_bc_local (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1995-11-08T03:54:00"	"NaN"
time (ISO Date Time Start Hc UTC, UTC)	!= =~ <= >= = < >		!= =~ <= >= = < >		1995-11-08T10:12:00Z
ISO_DateTime_end_hc_UTC (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1995-11-08T10:38:00"	"NaN"
ISO_DateTime_start_bc_UTC (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1995-11-08T07:36:00"	"NaN"
ISO_DateTime_end_bc_UTC (unitless)	!= =~ <= >= = < >		!= =~ <= >= = < >		"1995-11-08T07:54:00"	"NaN"

 

Server-side Functions

distinct()

orderBy orderByDescending orderByClosest orderByCount orderByLimit orderByMax orderByMin orderByMinMax orderByMean orderBySum (" Cruise_number Cruise_ID_1 Cruise_ID_2 Leg Day Month Year latitude longitude Hydro_cast_no Depth_target depth O2_ml_L q_O2_ml_L O2_umol_kg q_O2_umol_kg NO3_UDO q_NO3_UDO PO4_UDO q_PO4_UDO SiO4_UDO q_SiO4_UDO NH4_USF q_NH4_USF NO2_USF q_NO2_USF NO3_NO2_USF q_NO3_NO3_USF PO4_USF q_PO4_USF SiO4_USF q_SiO4_USF pH q_pH Alkalinity_mol_kg q_Alkalinity_mol_kg Alkalinity_umol_kg q_Alkalinity_umol_kg TCO2 q_TCO2 fCO2 q_fCO2 pH_corrected q_pH_corrected TCO2_corrected q_TCO2_corrected fCO2_corrected q_fCO2_corrected Salinity_bottles q_Salinity_bottles Salinity_CTD q_Salinity_CTD Temperature q_Temperature Sigma_t q_Sigma_t TPP q_TPP PIP q_PIP POC_ug_kg q_POC_ug_kg PON_ug_kg q_PON_ug_kg POC_ug_L q_POC_ug_L PN_ug_L q_PN_ug_L C_N_particulate q_C_N_particulate DON q_DON DOP q_DOP DOC q_DOC TOC q_TOC PrimaryProductivity q_PrimaryProductivity Chlorophyll q_Chlorophyll Phaeopigments q_Phaeopigments Total_Prokaryotes Bact_Biomass_mgC_m3 Bact_Biomass_uMC Bio_cast_no ISO_DateTime_start_hc_local ISO_DateTime_end_hc_local ISO_DateTime_start_bc_local ISO_DateTime_end_bc_local time ISO_DateTime_end_hc_UTC ISO_DateTime_start_bc_UTC ISO_DateTime_end_bc_UTC Cruise_number Cruise_ID_1 Cruise_ID_2 Leg Day Month Year latitude longitude Hydro_cast_no Depth_target depth O2_ml_L q_O2_ml_L O2_umol_kg q_O2_umol_kg NO3_UDO q_NO3_UDO PO4_UDO q_PO4_UDO SiO4_UDO q_SiO4_UDO NH4_USF q_NH4_USF NO2_USF q_NO2_USF NO3_NO2_USF q_NO3_NO3_USF PO4_USF q_PO4_USF SiO4_USF q_SiO4_USF pH q_pH Alkalinity_mol_kg q_Alkalinity_mol_kg Alkalinity_umol_kg q_Alkalinity_umol_kg TCO2 q_TCO2 fCO2 q_fCO2 pH_corrected q_pH_corrected TCO2_corrected q_TCO2_corrected fCO2_corrected q_fCO2_corrected Salinity_bottles q_Salinity_bottles Salinity_CTD q_Salinity_CTD Temperature q_Temperature Sigma_t q_Sigma_t TPP q_TPP PIP q_PIP POC_ug_kg q_POC_ug_kg PON_ug_kg q_PON_ug_kg POC_ug_L q_POC_ug_L PN_ug_L q_PN_ug_L C_N_particulate q_C_N_particulate DON q_DON DOP q_DOP DOC q_DOC TOC q_TOC PrimaryProductivity q_PrimaryProductivity Chlorophyll q_Chlorophyll Phaeopigments q_Phaeopigments Total_Prokaryotes Bact_Biomass_mgC_m3 Bact_Biomass_uMC Bio_cast_no ISO_DateTime_start_hc_local ISO_DateTime_end_hc_local ISO_DateTime_start_bc_local ISO_DateTime_end_bc_local time ISO_DateTime_end_hc_UTC ISO_DateTime_start_bc_UTC ISO_DateTime_end_bc_UTC Cruise_number Cruise_ID_1 Cruise_ID_2 Leg Day Month Year latitude longitude Hydro_cast_no Depth_target depth O2_ml_L q_O2_ml_L O2_umol_kg q_O2_umol_kg NO3_UDO q_NO3_UDO PO4_UDO q_PO4_UDO SiO4_UDO q_SiO4_UDO NH4_USF q_NH4_USF NO2_USF q_NO2_USF NO3_NO2_USF q_NO3_NO3_USF PO4_USF q_PO4_USF SiO4_USF q_SiO4_USF pH q_pH Alkalinity_mol_kg q_Alkalinity_mol_kg Alkalinity_umol_kg q_Alkalinity_umol_kg TCO2 q_TCO2 fCO2 q_fCO2 pH_corrected q_pH_corrected TCO2_corrected q_TCO2_corrected fCO2_corrected q_fCO2_corrected Salinity_bottles q_Salinity_bottles Salinity_CTD q_Salinity_CTD Temperature q_Temperature Sigma_t q_Sigma_t TPP q_TPP PIP q_PIP POC_ug_kg q_POC_ug_kg PON_ug_kg q_PON_ug_kg POC_ug_L q_POC_ug_L PN_ug_L q_PN_ug_L C_N_particulate q_C_N_particulate DON q_DON DOP q_DOP DOC q_DOC TOC q_TOC PrimaryProductivity q_PrimaryProductivity Chlorophyll q_Chlorophyll Phaeopigments q_Phaeopigments Total_Prokaryotes Bact_Biomass_mgC_m3 Bact_Biomass_uMC Bio_cast_no ISO_DateTime_start_hc_local ISO_DateTime_end_hc_local ISO_DateTime_start_bc_local ISO_DateTime_end_bc_local time ISO_DateTime_end_hc_UTC ISO_DateTime_start_bc_UTC ISO_DateTime_end_bc_UTC Cruise_number Cruise_ID_1 Cruise_ID_2 Leg Day Month Year latitude longitude Hydro_cast_no Depth_target depth O2_ml_L q_O2_ml_L O2_umol_kg q_O2_umol_kg NO3_UDO q_NO3_UDO PO4_UDO q_PO4_UDO SiO4_UDO q_SiO4_UDO NH4_USF q_NH4_USF NO2_USF q_NO2_USF NO3_NO2_USF q_NO3_NO3_USF PO4_USF q_PO4_USF SiO4_USF q_SiO4_USF pH q_pH Alkalinity_mol_kg q_Alkalinity_mol_kg Alkalinity_umol_kg q_Alkalinity_umol_kg TCO2 q_TCO2 fCO2 q_fCO2 pH_corrected q_pH_corrected TCO2_corrected q_TCO2_corrected fCO2_corrected q_fCO2_corrected Salinity_bottles q_Salinity_bottles Salinity_CTD q_Salinity_CTD Temperature q_Temperature Sigma_t q_Sigma_t TPP q_TPP PIP q_PIP POC_ug_kg q_POC_ug_kg PON_ug_kg q_PON_ug_kg POC_ug_L q_POC_ug_L PN_ug_L q_PN_ug_L C_N_particulate q_C_N_particulate DON q_DON DOP q_DOP DOC q_DOC TOC q_TOC PrimaryProductivity q_PrimaryProductivity Chlorophyll q_Chlorophyll Phaeopigments q_Phaeopigments Total_Prokaryotes Bact_Biomass_mgC_m3 Bact_Biomass_uMC Bio_cast_no ISO_DateTime_start_hc_local ISO_DateTime_end_hc_local ISO_DateTime_start_bc_local ISO_DateTime_end_bc_local time ISO_DateTime_end_hc_UTC ISO_DateTime_start_bc_UTC ISO_DateTime_end_bc_UTC Cruise_number Cruise_ID_1 Cruise_ID_2 Leg Day Month Year latitude longitude Hydro_cast_no Depth_target depth O2_ml_L q_O2_ml_L O2_umol_kg q_O2_umol_kg NO3_UDO q_NO3_UDO PO4_UDO q_PO4_UDO SiO4_UDO q_SiO4_UDO NH4_USF q_NH4_USF NO2_USF q_NO2_USF NO3_NO2_USF q_NO3_NO3_USF PO4_USF q_PO4_USF SiO4_USF q_SiO4_USF pH q_pH Alkalinity_mol_kg q_Alkalinity_mol_kg Alkalinity_umol_kg q_Alkalinity_umol_kg TCO2 q_TCO2 fCO2 q_fCO2 pH_corrected q_pH_corrected TCO2_corrected q_TCO2_corrected fCO2_corrected q_fCO2_corrected Salinity_bottles q_Salinity_bottles Salinity_CTD q_Salinity_CTD Temperature q_Temperature Sigma_t q_Sigma_t TPP q_TPP PIP q_PIP POC_ug_kg q_POC_ug_kg PON_ug_kg q_PON_ug_kg POC_ug_L q_POC_ug_L PN_ug_L q_PN_ug_L C_N_particulate q_C_N_particulate DON q_DON DOP q_DOP DOC q_DOC TOC q_TOC PrimaryProductivity q_PrimaryProductivity Chlorophyll q_Chlorophyll Phaeopigments q_Phaeopigments Total_Prokaryotes Bact_Biomass_mgC_m3 Bact_Biomass_uMC Bio_cast_no ISO_DateTime_start_hc_local ISO_DateTime_end_hc_local ISO_DateTime_start_bc_local ISO_DateTime_end_bc_local time ISO_DateTime_end_hc_UTC ISO_DateTime_start_bc_UTC ISO_DateTime_end_bc_UTC ")

File type: (more information) .asc - View OPeNDAP-style ISO-8859-1 comma-separated text. .csv - Download a ISO-8859-1 comma-separated text table (line 1: names; line 2: units; ISO 8601 times). .csvp - Download a ISO-8859-1 .csv file with line 1: name (units). Times are ISO 8601 strings. .csv0 - Download a ISO-8859-1 .csv file without column names or units. Times are ISO 8601 strings. .dataTable - A JSON file formatted for use with the Google Visualization client library (Google Charts). .das - View the dataset's metadata via an ISO-8859-1 OPeNDAP Dataset Attribute Structure (DAS). .dds - View the dataset's structure via an ISO-8859-1 OPeNDAP Dataset Descriptor Structure (DDS). .dods - OPeNDAP clients use this to download the data in the DODS binary format. .esriCsv - Download a ISO_8859_1 .csv file for ESRI's ArcGIS 9.x and below (separate date and time columns). .fgdc - View the dataset's UTF-8 FGDC .xml metadata. .geoJson - Download longitude,latitude,otherColumns data as a UTF-8 GeoJSON .json file. .graph - View a Make A Graph web page. .help - View a web page with a description of tabledap. .html - View an OPeNDAP-style HTML Data Access Form. .htmlTable - View a UTF-8 .html web page with the data in a table. Times are ISO 8601 strings. .iso19115 - View the dataset's ISO 19115-2/19139 UTF-8 .xml metadata. .itx - Download an ISO-8859-1 Igor Text File. Each response column becomes a wave. .json - View a table-like UTF-8 JSON file (missing value = 'null'; times are ISO 8601 strings). .jsonlCSV1 - View a UTF-8 JSON Lines CSV file with column names on line 1 (mv = 'null'; times are ISO 8601 strings). .jsonlCSV - View a UTF-8 JSON Lines CSV file without column names (mv = 'null'; times are ISO 8601 strings). .jsonlKVP - View a UTF-8 JSON Lines file with Key:Value pairs (missing value = 'null'; times are ISO 8601 strings). .mat - Download a MATLAB binary file. .nc - Download a flat, table-like, NetCDF-3 binary file with COARDS/CF/ACDD metadata. .ncHeader - View the UTF-8 header (the metadata) for the NetCDF-3 .nc file. .ncCF - Download a NetCDF-3 CF Discrete Sampling Geometries file (Contiguous Ragged Array). .ncCFHeader - View the UTF-8 header (the metadata) for the .ncCF file. .ncCFMA - Download a NetCDF-3 CF Discrete Sampling Geometries file (Multidimensional Array). .ncCFMAHeader - View the UTF-8 header (the metadata) for the .ncCFMA file. .nccsv - Download a NetCDF-3-like 7-bit ASCII NCCSV .csv file with COARDS/CF/ACDD metadata. .nccsvMetadata - View the dataset's metadata as the top half of a 7-bit ASCII NCCSV .csv file. .ncoJson - Download a UTF-8 NCO lvl=2 JSON file with COARDS/CF/ACDD metadata. .odvTxt - Download longitude,latitude,time,otherColumns as an ISO-8859-1 ODV Generic Spreadsheet File (.txt). .subset - View an HTML form which uses faceted search to simplify picking subsets of the data. .tsv - Download a ISO-8859-1 tab-separated text table (line 1: names; line 2: units; ISO 8601 times). .tsvp - Download a ISO-8859-1 .tsv file with line 1: name (units). Times are ISO 8601 strings. .tsv0 - Download a ISO-8859-1 .tsv file without column names or units. Times are ISO 8601 strings. .wav - Download a .wav audio file. All columns must be numeric and of the same type. .xhtml - View a UTF-8 XHTML (XML) file with the data in a table. Times are ISO 8601 strings. .kml - View a .kml file, suitable for Google Earth. .smallPdf - View a small .pdf image file with a graph or map. .pdf - View a standard, medium-sized .pdf image file with a graph or map. .largePdf - View a large .pdf image file with a graph or map. .smallPng - View a small .png image file with a graph or map. .png - View a standard, medium-sized .png image file with a graph or map. .largePng - View a large .png image file with a graph or map. .transparentPng - View a .png image file (just the data, without axes, landmask, or legend).

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The Dataset Attribute Structure (.das) for this Dataset

Attributes {
 s {
  Cruise_number {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 232;
    String bcodmo_name "unknown";
    Float64 colorBarMaximum 100.0;
    Float64 colorBarMinimum 0.0;
    String description "number of cruise";
    String long_name "Cruise Number";
    String units "integer (nnn)";
  }
  Cruise_ID_1 {
    String bcodmo_name "unknown";
    String description "cruise ID for OCB";
    String long_name "Cruise ID 1";
    String units "alphanumeric";
  }
  Cruise_ID_2 {
    String bcodmo_name "unknown";
    String description "cruise ID for the CARIACO project";
    String long_name "Cruise ID 2";
    String units "alphanumeric";
  }
  Leg {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 4;
    String bcodmo_name "leg";
    String description "number of cruise in the same month";
    String long_name "Leg";
    String units "integer (n)";
  }
  Day {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 29;
    String bcodmo_name "day";
    String description "day of sampling in dd format";
    String long_name "Day";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/";
    String units "unitless";
  }
  Month {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 1, 12;
    String bcodmo_name "month";
    String description "month of sampling in mm format";
    String long_name "Month";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/";
    String units "unitless";
  }
  Year {
    Int16 _FillValue 32767;
    Int16 actual_range 1995, 2017;
    String bcodmo_name "year";
    String description "year of sampling in yyyy format";
    String long_name "Year";
    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 10.492, 10.683;
    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 -64.735, -64.367;
    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";
  }
  Hydro_cast_no {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 5;
    String bcodmo_name "cast";
    String description "hydrographic CTD cast number";
    String long_name "Hydro Cast No";
    String units "integer (n)";
  }
  Depth_target {
    Int16 _FillValue 32767;
    Int16 actual_range 1, 1320;
    String bcodmo_name "depth_n";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth target (nominal)";
    String long_name "Depth";
    String standard_name "depth";
    String units "meters (m)";
  }
  depth {
    String _CoordinateAxisType "Height";
    String _CoordinateZisPositive "down";
    Float64 _FillValue NaN;
    Float64 actual_range 0.349, 1351.0;
    String axis "Z";
    String bcodmo_name "depth";
    Float64 colorBarMaximum 8000.0;
    Float64 colorBarMinimum -8000.0;
    String colorBarPalette "TopographyDepth";
    String description "depth of sample";
    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";
  }
  O2_ml_L {
    Float32 _FillValue NaN;
    Float32 actual_range -0.00215409, 6.19122;
    String bcodmo_name "O2_ml_L";
    String description "dissolved oxygen (average in ml/L)";
    String long_name "O2 Ml L";
    String units "milliliters/liter (ml/L)";
  }
  q_O2_ml_L {
    String bcodmo_name "q_flag";
    String description "quality flag for O2_(ml/L)";
    String long_name "Q O2 Ml L";
    String units "dimensionless";
  }
  O2_umol_kg {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 269.659;
    String bcodmo_name "O2_umol_kg";
    String description "dissolved oxygen (average in μmol/kg)";
    String long_name "O2 Umol Kg";
    String units "micromoles/kilogram (μmol/kg)";
  }
  q_O2_umol_kg {
    String bcodmo_name "q_flag";
    String description "quality flag for O2_(μmol/kg)";
    String long_name "Q O2 Umol Kg";
    String units "dimensionless";
  }
  NO3_UDO {
    Float32 _FillValue NaN;
    Float32 actual_range -0.09, 27.4795;
    String bcodmo_name "NO3";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "nitrate UDO (average)";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/";
    String units "micromolar (μM)";
  }
  q_NO3_UDO {
    String bcodmo_name "q_flag";
    String description "quality flag for nitrate UDO";
    String long_name "Q NO3 UDO";
    String units "dimensionless";
  }
  PO4_UDO {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 27.54;
    String bcodmo_name "PO4";
    String description "phosphate UDO (average)";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "micromolar (μM)";
  }
  q_PO4_UDO {
    String bcodmo_name "q_flag";
    String description "quality flag for phosphate UDO";
    String long_name "Q PO4 UDO";
    String units "dimensionless";
  }
  SiO4_UDO {
    Float32 _FillValue NaN;
    Float32 actual_range 0.11, 159.728;
    String bcodmo_name "SiO4";
    String description "silica UDO";
    String long_name "Si O4 UDO";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SLCAAAZX/";
    String units "micromolar (μM)";
  }
  q_SiO4_UDO {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for silica UDO";
    String long_name "Q Si O4 UDO";
    String units "dimensionless";
  }
  NH4_USF {
    Float32 _FillValue NaN;
    Float32 actual_range -0.00478627, 35.9836;
    String bcodmo_name "Ammonium";
    Float64 colorBarMaximum 5.0;
    Float64 colorBarMinimum 0.0;
    String description "ammonia USF";
    String long_name "Mole Concentration Of Ammonium In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/";
    String units "micromolar (μM)";
  }
  q_NH4_USF {
    String bcodmo_name "q_flag";
    String description "quality flag for ammonia USF";
    String long_name "Q NH4 USF";
    String units "dimensionless";
  }
  NO2_USF {
    Float32 _FillValue NaN;
    Float32 actual_range -0.00496693, 2.3689;
    String bcodmo_name "NO2";
    Float64 colorBarMaximum 1.0;
    Float64 colorBarMinimum 0.0;
    String description "nitrite USF";
    String long_name "Mole Concentration Of Nitrite In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/";
    String units "micromolar (μM)";
  }
  q_NO2_USF {
    String bcodmo_name "q_flag";
    String description "quality flag for nitrite USF";
    String long_name "Q NO2 USF";
    String units "dimensionless";
  }
  NO3_NO2_USF {
    Float32 _FillValue NaN;
    Float32 actual_range -0.00495164, 40.2927;
    String bcodmo_name "NO3_NO2";
    Float64 colorBarMaximum 50.0;
    Float64 colorBarMinimum 0.0;
    String description "nitrate plus nitrite USF";
    String long_name "Mole Concentration Of Nitrate In Sea Water";
    String units "micromolar (μM)";
  }
  q_NO3_NO3_USF {
    String bcodmo_name "q_flag";
    String description "quality flag for nitrate plus nitrite USF";
    String long_name "Q NO3 NO3 USF";
    String units "dimensionless";
  }
  PO4_USF {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 5.5234;
    String bcodmo_name "PO4";
    String description "phosphate USF";
    String long_name "Mass Concentration Of Phosphate In Sea Water";
    String units "micromolar (μM)";
  }
  q_PO4_USF {
    String bcodmo_name "q_flag";
    String description "quality flag for phosphate USF";
    String long_name "Q PO4 USF";
    String units "dimensionless";
  }
  SiO4_USF {
    Float32 _FillValue NaN;
    Float32 actual_range -0.00401398, 102.474;
    String bcodmo_name "SiO4";
    String description "silica USF";
    String long_name "Si O4 USF";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SLCAAAZX/";
    String units "micromolar (μM)";
  }
  q_SiO4_USF {
    String bcodmo_name "q_flag";
    String description "quality flag for silica USF";
    String long_name "Q Si O4 USF";
    String units "dimensionless";
  }
  pH {
    Float32 _FillValue NaN;
    Float32 actual_range 7.13674, 8.29203;
    String bcodmo_name "pH_sw";
    Float64 colorBarMaximum 9.0;
    Float64 colorBarMinimum 7.0;
    String description "pH average total hydrogen (at 25 deg. C) no corrected for dye impurities";
    String long_name "Sea Water Ph Reported On Total Scale";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXPRO1/";
    String units "ion scale (pH)";
  }
  q_pH {
    String bcodmo_name "q_flag";
    String description "quality flag for pH";
    String long_name "Q P H";
    String units "dimensionless";
  }
  Alkalinity_mol_kg {
    Float32 _FillValue NaN;
    Float32 actual_range 0.00114246, 0.00337162;
    String bcodmo_name "TALK";
    String description "total alkalinity";
    String long_name "Alkalinity Mol Kg";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/";
    String units "moles/kilogram (mol/kg)";
  }
  q_Alkalinity_mol_kg {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for total alkalinity (mol/kg)";
    String long_name "Q Alkalinity Mol Kg";
    String units "dimensionless";
  }
  Alkalinity_umol_kg {
    Float32 _FillValue NaN;
    Float32 actual_range 1142.46, 3371.62;
    String bcodmo_name "TALK";
    String description "total alkalinity";
    String long_name "Alkalinity Umol Kg";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/";
    String units "micromoles/kilogram (μmol/kg)";
  }
  q_Alkalinity_umol_kg {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for total alkalinity (μmol/kg)";
    String long_name "Q Alkalinity Umol Kg";
    String units "dimensionless";
  }
  TCO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 1060.8, 2980.17;
    String bcodmo_name "TCO2";
    String description "total carbon dioxide in seawater (no corrected)";
    String long_name "TCO2";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TCO2KG01/";
    String units "micromoles/kilogram (μmol/kg)";
  }
  q_TCO2 {
    String bcodmo_name "q_flag";
    String description "quality flag for total carbon dioxide in seawater (no corrected)";
    String long_name "Q TCO2";
    String units "dimensionless";
  }
  fCO2 {
    Float32 _FillValue NaN;
    Float32 actual_range 196.861, 3366.15;
    String bcodmo_name "fugacity of CO2";
    String description "fugacity of CO2 in sea water (no corrected)";
    String long_name "F CO2";
    String units "microatmospheres (μatm)";
  }
  q_fCO2 {
    String bcodmo_name "q_flag";
    String description "quality flag for fugacity of CO2 in sea water (no corrected)";
    String long_name "Q F CO2";
    String units "dimensionless";
  }
  pH_corrected {
    Float32 _FillValue NaN;
    Float32 actual_range 7.15136, 8.35211;
    String bcodmo_name "pH_sw";
    String description "pH average total hydrogen (at 25 deg. C) corrected for dye impurities";
    String long_name "P H Corrected";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHXXPRO1/";
    String units "ion scale (pH)";
  }
  q_pH_corrected {
    String bcodmo_name "q_flag";
    String description "quality flag for pH_corrected";
    String long_name "Q P H Corrected";
    String units "dimensionless";
  }
  TCO2_corrected {
    Float32 _FillValue NaN;
    Float32 actual_range 1059.69, 2970.66;
    String bcodmo_name "TCO2";
    String description "total carbon dioxide in seawater (recalculated with corrected pH)";
    String long_name "TCO2 Corrected";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TCO2KG01/";
    String units "micromoles/kilogram (μmol/kg)";
  }
  q_TCO2_corrected {
    String bcodmo_name "q_flag";
    String description "quality flag for total carbon dioxide in seawate recalculated";
    String long_name "Q TCO2 Corrected";
    String units "dimensionless";
  }
  fCO2_corrected {
    Float32 _FillValue NaN;
    Float32 actual_range 162.828, 3258.11;
    String bcodmo_name "fugacity of CO2";
    String description "fugacity of total carbon dioxide in seawate recalculated";
    String long_name "F CO2 Corrected";
    String units "microatmospheres (μatm)";
  }
  q_fCO2_corrected {
    String bcodmo_name "q_flag";
    String description "quality flag for ffugacity of total carbon dioxide recalculated";
    String long_name "Q F CO2 Corrected";
    String units "dimensionless";
  }
  Salinity_bottles {
    Float32 _FillValue NaN;
    Float32 actual_range 35.8417, 37.0703;
    String bcodmo_name "sal_bot";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "salinity from salinometer";
    String long_name "Sea Water Practical Salinity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALBSTX/";
    String units "PSU (PSU)";
  }
  q_Salinity_bottles {
    String bcodmo_name "q_flag";
    String description "quality flag for salinity from salinometer";
    String long_name "Q Salinity Bottles";
    String units "dimensionless";
  }
  Salinity_CTD {
    Float32 _FillValue NaN;
    Float32 actual_range 35.8345, 37.6541;
    String bcodmo_name "sal_ctd";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "salinity from CTD";
    String long_name "Sea Water Practical Salinity";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/";
    String units "PSU (PSU)";
  }
  q_Salinity_CTD {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 37.0;
    Float64 colorBarMinimum 32.0;
    String description "quality flag for salinity from CTD";
    String long_name "Sea Water Practical Salinity";
    String units "dimensionless";
  }
  Temperature {
    Float32 _FillValue NaN;
    Float32 actual_range 17.0435, 30.0623;
    String bcodmo_name "temperature";
    String description "temperature from CTD ITS-90 scale";
    String long_name "Temperature";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/";
    String units "degrees Celsius (degC (°C))";
  }
  q_Temperature {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for temperature from CTD";
    String long_name "Q Temperature";
    String units "dimensionless";
  }
  Sigma_t {
    Float32 _FillValue NaN;
    Float32 actual_range 18.8566, 26.742;
    String bcodmo_name "sigma-t";
    String description "density";
    String long_name "Sigma T";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/SIGTEQST/";
    String units "kilograms/meter^3 (Kg/m^3)";
  }
  q_Sigma_t {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for density";
    String long_name "Q Sigma T";
    String units "dimensionless";
  }
  TPP {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 520.908;
    String bcodmo_name "unknown";
    String description "total particulate phosphorus";
    String long_name "TPP";
    String units "nanomolar (nM)";
  }
  q_TPP {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for total particulate phosphorus";
    String long_name "Q TPP";
    String units "dimensionless";
  }
  PIP {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 223.198;
    String bcodmo_name "unknown";
    String description "particulate inorganic phosphorus";
    String long_name "PIP";
    String units "nanomolar (nM)";
  }
  q_PIP {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for particulate inorganic phosphorus";
    String long_name "Q PIP";
    String units "dimensionless";
  }
  POC_ug_kg {
    Float32 _FillValue NaN;
    Float32 actual_range -0.706958, 769.013;
    String bcodmo_name "POC";
    String description "particulate organic carbon";
    String long_name "POC Ug Kg";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
    String units "micrograms/liter (μg/kg)";
  }
  q_POC_ug_kg {
    String bcodmo_name "q_flag";
    String description "quality flag for particulate organic carbon (μg/kg)";
    String long_name "Q POC Ug Kg";
    String units "dimensionless";
  }
  PON_ug_kg {
    Float32 _FillValue NaN;
    Float32 actual_range -5.72252, 259.432;
    String bcodmo_name "PON";
    String description "particulate organic nitrogen";
    String long_name "PON Ug Kg";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/";
    String units "micrograms/liter (μg/kg)";
  }
  q_PON_ug_kg {
    String bcodmo_name "q_flag";
    String description "quality flag for particulate organic nitrogen (μg/kg)";
    String long_name "Q PON Ug Kg";
    String units "dimensionless";
  }
  POC_ug_L {
    Float32 _FillValue NaN;
    Float32 actual_range -153.518, 1898.19;
    String bcodmo_name "POC";
    String description "particulate organic carbon";
    String long_name "POC Ug L";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/";
    String units "micrograms/liter (μg/L)";
  }
  q_POC_ug_L {
    String bcodmo_name "q_flag";
    String description "quality flag for particulate organic carbon (μg/L)";
    String long_name "Q POC Ug L";
    String units "dimensionless";
  }
  PN_ug_L {
    Float32 _FillValue NaN;
    Float32 actual_range -0.689917, 750.476;
    String bcodmo_name "PON";
    String description "particulate organic nitrogen";
    String long_name "PN Ug L";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/MDMAP013/";
    String units "micrograms/liter (μg/L)";
  }
  q_PN_ug_L {
    String bcodmo_name "q_flag";
    String description "quality flag for particulate organic nitrogen (μg/L)";
    String long_name "Q PN Ug L";
    String units "dimensionless";
  }
  C_N_particulate {
    Float32 _FillValue NaN;
    Float32 actual_range -5.58458, 253.179;
    String bcodmo_name "C_to_N";
    String description "carbon to nitrogen ratio of particulate C to N";
    String long_name "C N Particulate";
    String units "mole/mole (mol/mol)";
  }
  q_C_N_particulate {
    String bcodmo_name "q_flag";
    String description "quality flag for C to N particulate";
    String long_name "Q C N Particulate";
    String units "dimensionless";
  }
  DON {
    Float32 _FillValue NaN;
    Float32 actual_range 0.195968, 32.2009;
    String bcodmo_name "Dissolved Organic Nitrogen";
    String description "dissolved organic nitrogen USF";
    String long_name "DON";
    String units "micromolar (μM)";
  }
  q_DON {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for dissolved organic nitrogen USF";
    String long_name "Q DON";
    String units "dimensionless";
  }
  DOP {
    Float32 _FillValue NaN;
    Float32 actual_range -0.00281393, 1.41415;
    String bcodmo_name "Dissolved Organic Phosphorus";
    String description "dissolved organic phosporus USF";
    String long_name "DOP";
    String units "micromolar (μM)";
  }
  q_DOP {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for dissolved organic phosporus USF";
    String long_name "Q DOP";
    String units "dimensionless";
  }
  DOC {
    Float32 _FillValue NaN;
    Float32 actual_range 7.57741, 19183.0;
    String bcodmo_name "DOC";
    String description "dissolved organic carbon";
    String long_name "DOC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/";
    String units "micromolar (μM)";
  }
  q_DOC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for dissolved organic carbon";
    String long_name "Q DOC";
    String units "dimensionless";
  }
  TOC {
    Float32 _FillValue NaN;
    Float32 actual_range 24.8917, 6538.33;
    String bcodmo_name "TOC";
    String description "total organic carbon";
    String long_name "TOC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CORGCOTX/";
    String units "micromolar (μM)";
  }
  q_TOC {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for total organic carbon";
    String long_name "Q TOC";
    String units "dimensionless";
  }
  PrimaryProductivity {
    Float32 _FillValue NaN;
    Float32 actual_range 0.0, 65.445;
    String bcodmo_name "unknown";
    String description "primary production";
    String long_name "Primary Productivity";
    String units "milligrams Carbon/meter^3/hour (mgC/m^3/hr)";
  }
  q_PrimaryProductivity {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for primary production";
    String long_name "Q Primary Productivity";
    String units "dimensionless";
  }
  Chlorophyll {
    Float32 _FillValue NaN;
    Float32 actual_range 0.01, 24.7812;
    String bcodmo_name "chlorophyll a";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "chlorophyll a";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/";
    String units "milligrams/meter^3 (mg/m^3)";
  }
  q_Chlorophyll {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    Float64 colorBarMaximum 30.0;
    Float64 colorBarMinimum 0.03;
    String colorBarScale "Log";
    String description "quality flag for chlorophyll a";
    String long_name "Concentration Of Chlorophyll In Sea Water";
    String units "dimensionless";
  }
  Phaeopigments {
    Float32 _FillValue NaN;
    Float32 actual_range 0.02, 7.53675;
    String bcodmo_name "phaeopigment";
    String description "phaeopigment";
    String long_name "Phaeopigments";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/PHAEFMP1/";
    String units "milligrams/meter^3 (mg/m^3)";
  }
  q_Phaeopigments {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 1;
    String bcodmo_name "q_flag";
    String description "quality flag for phaeopigment";
    String long_name "Q Phaeopigments";
    String units "dimensionless";
  }
  Total_Prokaryotes {
    String bcodmo_name "unknown";
    String description "number of prokaryotes cells";
    String long_name "Total Prokaryotes";
    String units "(cells/L )10^8 ((cells_x_10^8/L))";
  }
  Bact_Biomass_mgC_m3 {
    String bcodmo_name "unknown";
    String description "bacterial biomass (mgC/m^3)";
    String long_name "Bact Biomass Mg C M3";
    String units "milligrams Carbon/meter^3 (mgC/m^3)";
  }
  Bact_Biomass_uMC {
    String bcodmo_name "unknown";
    String description "bacterial biomass (μMC)";
    String long_name "Bact Biomass U MC";
    String units "microMolar Carbon (μMC)";
  }
  Bio_cast_no {
    Byte _FillValue 127;
    String _Unsigned "false";
    Byte actual_range 0, 6;
    String bcodmo_name "unknown";
    String description "biological CTD cast number (primary production chlorophyll and phaeopigments)";
    String long_name "Bio Cast No";
    String units "integer (n)";
  }
  ISO_DateTime_start_hc_local {
    String bcodmo_name "ISO_DateTime_Local";
    String description "start date and time of hydrocast in Venezuelan Standard Time (VET) in ISO 8601 format";
    String long_name "ISO Date Time Start Hc Local";
    String units "unitless";
  }
  ISO_DateTime_end_hc_local {
    String bcodmo_name "ISO_DateTime_Local";
    String description "end date and time of hydrocast in Venezuelan Standard Time (VET) in ISO 8601 format";
    String long_name "ISO Date Time End Hc Local";
    String units "unitless";
  }
  ISO_DateTime_start_bc_local {
    String bcodmo_name "ISO_DateTime_Local";
    String description "start date and time of biocast in Venezuelan Standard Time (VET) in ISO 8601 format";
    String long_name "ISO Date Time Start Bc Local";
    String units "unitless";
  }
  ISO_DateTime_end_bc_local {
    String bcodmo_name "ISO_DateTime_Local";
    String description "end date and time of biocast in Venezuelan Standard Time (VET) in ISO 8601 format";
    String long_name "ISO Date Time End Bc Local";
    String units "unitless";
  }
  time {
    String _CoordinateAxisType "Time";
    Float64 actual_range 8.1582552e+8, NaN;
    String axis "T";
    String bcodmo_name "ISO_DateTime_UTC";
    String description "start date and time of hydrocast in UTC in ISO 8601 format";
    String ioos_category "Time";
    String long_name "ISO Date Time Start Hc 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 units "seconds since 1970-01-01T00:00:00Z";
  }
  ISO_DateTime_end_hc_UTC {
    String bcodmo_name "ISO_DateTime_UTC";
    String description "end date and time of hydrocast in UTC in ISO 8601 format";
    String long_name "ISO Date Time End Hc UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String units "unitless";
  }
  ISO_DateTime_start_bc_UTC {
    String bcodmo_name "ISO_DateTime_UTC";
    String description "start time of biocast in UTC in ISO 8601 format";
    String long_name "ISO Date Time Start Bc UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String units "unitless";
  }
  ISO_DateTime_end_bc_UTC {
    String bcodmo_name "ISO_DateTime_UTC";
    String description "end time of biocast in UTC in ISO 8601 format";
    String long_name "ISO Date Time End Bc UTC";
    String nerc_identifier "https://vocab.nerc.ac.uk/collection/P01/current/DTUT8601/";
    String units "unitless";
  }
 }
  NC_GLOBAL {
    String access_formats ".htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt";
    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.  
 \\u00a0
 
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.  
 \\u00a0
 
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.  
 \\u00a0
 
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.  
 \\u00a0
 
Nutrients
 
Since CAR-072 (November 2001) all samples had been filtered through a 0.8
\\u00b5m Nucleopore filter within minutes of collection, as recommended by the
JGOFS protocol, and frozen in plastic bottles until analysis at the University
of South Florida (USF). Previous to November 2001, nutrients were filtered
through a 0.7 \\u00b5m GF/F filter before freezing. This data was still
considered reliable, as tests using glass fiber filters show no significant
contamination. The analyses follow the standard techniques described by
Strickland and Parsons (1972). USF follows the recommendations of Gordon et
al. (1993) for the WOCE WHP project for nutrient analysis.  
 \\u00a0
 
Since CAR-069 (August 2001) all silica samples were kept unfrozen; they were
refrigerated and kept in the dark. Prior to CAR-069, silicates were frozen and
those exhibiting high concentration of silica (> 40\\u00b5M below 300m in
CARIACO) were affected by polymerization. All deep samples that were frozen
showed low values due to polymerization loss, except CAR-063 and CAR-068 which
showed high values. CAR-069 was analyzed by Yrene Astor at EDIMAR from the
separate unfrozen bottlesand at USF from other, frozen, bottles. Unfrozen
CAR-069 resulted higher with deep values close to what was expected (e.g.
\\u223c92\\u00b5M at 1310m).  
 \\u00a0
 
Detection limits for CARIACO nutrient analysis
 
The limits below were determined by calculating the concentrations in
triplicate standards, averaging the results within each triplicate group,
calculating the standard deviation for each group, averaging the standard
deviations, and finally doubling the averages to get the detection limits.
These samples were analyzed on an ALPKEM RFA II. Subsequent Cariaco analyses
were performed on a Technicon Analyzer II
 
  
Nutrient Type
  |  
ALPKEM RFA II
  |  
Technicon Analyzer II
    
---|---|---  
 
Detection limits
  |  
Errors of analysis
  |  
Detection limits
    
 
PO4 Phosphate
  |  
0.03 \\u00b5mol
  |  
<0.01 \\u00b5M
  |  
0.02 \\u00b5M
    
 
Si(OH)4 Silica
  |  
0.14 \\u00b5mol
  |  
0.2 \\u00b5M
  |  
0.4 \\u00b5M
    
 
NO3 Nitrate
  |  
0.06 \\u00b5mol
  |  
0.02 \\u00b5M
  |  
0.04 \\u00b5M
    
 
NO2 Nitrite
  |  
0.02 \\u00b5mol
  |  
<0.01 \\u00b5M
  |  
0.01 \\u00b5M
    
 
NH4 Ammonium
  |  
0.07 \\u00b5mol
  |  
0.05 \\u00b5M
  |  
0.1 \\u00b5M
    
 
\\u00a0
 
Primary Production
 
Primary productivity measurements were made using a modified Steeman Nielsen
(1952) NaH14CO3 uptake assay. The productivity measurements consisted of in
situ incubations of water collected at 8 depths and inoculated with 14C-
labeled bicarbonate. One hour before sunrise, a shallow cast was performed to
obtain water from 1, 7, 15, 25, 35, 55, 75, and 100 meters. As the
productivity cast was taken, a Licor Photosynthetically-Active Radiation (PAR)
integrator, placed high above the ship's bridge, was activated. Water was
poured directly from the Niskin bottle under low light conditions into 250 ml
clear polycarbonate bottles. These bottles had been previously acid-washed,
rinsed, and soaked in de-ionized water for over 48 hours. Bottles were rinsed
three times before filling, a near total fill (the volume within the bottles
was actually 290 ml of sea water). Four clear polycarbonate bottles were
filled from each depth. We wrap one inoculated bottle from each depth in
aluminum foil to obtain the dark 14-C uptake rates. An extra bottle for 1, 15,
35, and 75 m was filled, but not inoculated, to provide time-zero (t0) filter
and seawater blanks. The t0 samples were kept in the dark in the laboratory
and were filtered after deploying the floating incubation buoy.  
 \\u00a0
 
We inoculated each sample under low light conditions with 1,000 ml (4 mCi) of
the 14C sodium bicarbonate working solution. A 200 ml aliquot for counting
total added 14C activity was removed from one of the 3 bottles from each depth
and placed in a 20 ml glass scintillation vial containing 250 ml ethanolamine.
The mixture was held at 5\\u00b0C until subsequent liquid scintillation
analysis on shore. We also placed 50 ml of the 14C working solution in a vial
with ethanolamine (250 ml) for reference counting.  
 \\u00a0
 
The dark bottle and 3 light bottles were hooked together with a combination of
plastic tie wraps and nylon cord, and kept in the dark while preparations were
made for deployment of the productivity incubation float. At approximately
07:00 hours, the productivity array was deployed. The entire productivity
ensemble was attached to a buoy equipped with a flag and radar reflector.  
 \\u00a0
 
Productivity observations were initiated on December 1995. Between December
1995 and November 1996, we incubated samples from 06:00 to 10:00 hours.
Starting December 1996, we changed our protocol to incubate between 07:00 and
11:00 hours. This more accurately represents 1/3 of the daily photoperiod and
1/3 of the total energy received in one day on a year-round basis at
10\\u00b030'N, as verified with the PAR light sensor.  
 \\u00a0
 
Approximately 4 hours after deployment, the productivity array was recovered.
We decided to use 4-hour incubation periods due to the potentially high
productivity (>1,000 mg/(m\\u00b2d)) of this continental margin. Sample bottles
were detached from the line and placed in labeled, dark plastic bags until
filtration. Time and position of recovery were recorded. Maintaining low light
conditions, a 50 ml aliquot was withdrawn from each productivity bottle using
a 50 ml plastic syringe. This aliquot was filtered onto a 25 mm Whatman GF/F
glass fiber filter, maintaining vacuum levels of \\u223c1/3 atm. The filter was
rinsed with 0.25 ml 0.5 N HCl, and placed in a 20 ml glass scintillation vial,
covered, and held at 5\\u00b0C until subsequent processing on shore. At the
shore laboratory, immediately upon return and within 15 hours of sample
collection, 10 ml of liquid scintillation cocktail were added to the vials
with the filters. These vials were refrigerated until they were ready for
analysis on a BetaScout (PerkinElmer)scintillation counter.  
 \\u00a0
 
Carbon uptake calculations followed the standard formulation outlined in the
JGOFS manual (UNESCO, 1994), taking into consideration a (very low) quenching
curve. Specifically, we subtracted the blank from all bottles, and then
subtracted the dark bottle uptake from the average uptake in the light bottles
to correct for non-photoautotrophic carbon fixation or absorption. Dark uptake
values had always been very low. A scaling factor (\\u223c3) was applied to
convert the hourly production value to a \\\"daily mean hourly average\\\". This
factor varies slightly, as it was based on the fraction of the energy received
during the incubation period relative to the total energy received in a day.
Daily rates were derived by multiplying the hourly rate by 12. Gieskes and Van
Bennekom (1973), Peterson (1980), and Carpenter and Lively (1980) review the
historical background, problems, and assumptions involved in the application
of the radiocarbon technique to aquatic productivity. Muller-Karger (1984)
also summarizes the technique and corrections involved.  
 \\u00a0
 
pH and Alkalinity
 
pH samples were collected directly in 10-cm cells and analyzed on board. We
measured pH and total Alkalinity estimates using the precise
spectrophotometric dye methods developed by Robert-Baldo et al. (1985), Byrne
and Breland (1989), and which we modified from Clayton and Byrne (1993) and
Breland and Byrne (1993). These methods circumvent the problem that arises
when potentiometric electrodes were transferred from dilute buffers to sea
water samples due to the sample's high ionic strength. All the pH values were
reported in the Master file for CARIACO data at 25 \\u2103 to avoid the effects
of temperature on the solution chemistry. Measurement analytical precision for
pHT at 25\\u00b0C (total_hydrogen_ion_scale) = \\u00b10.003, and for
Total_alkalinity (mmol/kg), the precision is = 5 mmol/kg.\\u00a0  
 \\u00a0
 
Corrections of pH for dye indicator impurities: The pH method uses the dye
meta-cresol purple (mCP) as the pH indicator. The mCP dye used in CARIACO was
in its unpurified form. Impurities in the indicator dye may cause uncertainty
in measured pH values (Yao et al., 2007). Unpurified forms of the dye absorb
significantly at the wavelength of maximum absorption for the acid species,
HI- (434 nm) (Liu et al., 2011). The ratio of indicator absorbance at
wavelengths 578 (base specie, I2-) and 434 (R = A578/A434) is used to
calculate pH. Therefore, the effect of the impurities translates into apparent
lower pH calculated values, especially at surface waters where pH > 8.0 (Yao
et al., 2007). The effect of the impurities varies from one indicator
manufacturer to another, and from different batches of the same manufacturer
(Yao et al., 2007). Fortunately, the indicator used for the whole dataset in
CARIACO came from the same batch. Hence, a correction for mCP impurities was
applied following the method developed by Douglas and Byrne (2017) to each set
of data for each cruise. This correction translated to ~ -0.01 units at pH ~
8.1, decreasing to ~ - 0.008 units at pH ~ 7.6. The corrections were applied
to the whole dataset, and values for DIC and fCO2 were recalculated in the
Master file. All the pH values were reported in the Master file for CARIACO
data at 25 \\u2103 to avoid the effects of temperature on the solution
chemistry.\\u00a0  
 \\u00a0
 
Chlorophyll
 
Chlorophyll sample collection and storage: water samples were collected from
Niskin bottles into 1 L dark polyethylene bottles. These samples were
immediately filtered through 25 mm Whatman GF/F filters using a vacuum of less
than 100 mm Hg. During the upwelling season (approx. January-May) we filtered
250 ml seawater, and during the rest of the year we filtered 500 ml. Three
replicates were taken per depth during the upwelling season, but only two were
collected when biomass was obviously at its minimum, during the non-upwelling
season. Filters were folded in half twice and placed in glass centrifuge
tubes, labeled and frozen. Storage time was kept as short as possible (less
than a week) before measurement.  
 \\u00a0
 
Chlorophyll procedure: after removal from the freezer, the filters were
extracted in 10 ml of methanol. The samples were allowed to extract for 24
hours in the refrigerator. Following extraction, samples were centrifuged for
20 minutes to remove debris. The fluorometer (Turner fluorometer model
10-AU-005) was allowed to warm up and stabilize for 30 minutes prior to use.
Pure methanol was measured to confirm the zero position. Samples were
transferred to 1-cm cells and they were measured directly into the fluorometer
(Fo). 100 \\u00b5l of 0.48N HCl was added to each cell. A second reading was
taken from the fluorometer for each cell (Fa). Standardization. The
fluorometer was calibrated every year with a commercially available
chlorophyll a standard (\\u03a3). The concentration of chlorophyll-an and
phaeopigments in the sample were calculated using Yentsh and Menzel (1963)
equation, with a specific absorption coefficient of 74.5 (chlorophyll in
methanol).  
 \\u00a0
 
HPLC
 
HPLC analysis was restarted in July 2006 (CAR-123). Samples were filtered 47
mm Whatman GF/F filters at 8 depths (1, 7, 15, 25, 35, 55, 75 and 100m). The
volume filtered depends on the amount of particles in the water. Replicates
were taken at the 1m depth. Filters were stored in aluminum envelopes and
stored in the fridge until reaching shore. Once on shore, samples were stored
at -40\\u00b0C until transportation to the US. Horn Point Laboratory
([http://www.hpl.umces.edu/](\\\\\"http://www.hpl.umces.edu/\\\\\")) performs the
analyses through a collaborative agreement with NASA. The method used was Van
Heukelem and Thomas (2001).\\u00a0  
 \\u00a0
 
POC and PON
 
POC and PON sample collection and storage: water samples were collected from
Niskin bottles into 2 L dark polyethylene bottles. These samples were
immediately filtered through 25 mm Whatman GF/F filters (precombusted for 5
hours at 450\\u00b0C) using a vacuum of less than 100 mm Hg. Since July 2007
(CAR-135) filters were acidified (10% HCl) after combustion and prior to
sample collection. A portion of these filters was used for POP analysis (see
below). Filters were placed on expendable tin disks and then into aluminum
foil envelops (also precombusted for 5 hours at 450\\u00b0C) labeled and
frozen. In the laboratory, filters were dried at 65\\u00b0C for 12-15 hours
then stored with silica gel.
 
Measurement: The filters were folded inside a tin disk and analyzed on a
Perkin Elmer 2400 Elemental Analyzer. The samples were combusted at
1200-1300\\u00b0C and then passed through a reduction tube to removes the
oxygen added to raise the combustion temperature. Filers were not acid fumed
prior to analysis. The C and N were then separated in a chromatographic column
and were measured on a Thermal Conductivity Detector. Carbon and nitrogen
standards, and blank filters were used to calibrate the data. The accuracy of
the instrument was <0.3% and the precision of the instrument was <0.2%. These
were published values and we find that we were always within these limits
(usually \\u00b10.15% for carbon and \\u00b10.1% for nitrogen). We ran cystine
as our standard (29.99% Carbon, 11.66% Nitrogen). The analytical range of the
instrument is: Carbon= .001 to 3.6 mg and Nitrogen= 0.001 to 6.0 mg.  
 \\u00a0
 
POP
 
POP was analyzed from the same POC/PON filters. The method used for the SRP
analysis was based on Koroleff (1983).  
 \\u00a0
 
Dissolved organic Carbon, Nitrogen and Phosphorous (DOC, DON and DOP)
 
Measurements of DOC were taken since the beginning of the project in November
1995 but suspended in February 2001 (CAR-062) due to irregularity of results.
DOC was reinitiated in March 2005 (CAR-110) using a new protocol. DOC samples
were collected monthly and analyzed at the Organic Biogeochemistry Lab in the
Rosenstiel School of Marine & Atmospheric Science at the University of Miami.
Samples were gravity-filtered directly from the Niskin bottles through 45 mm
GF/F precombusted filters using acid cleaned polycarbonate in-line filter
holder. Immediately after filtration the polyethylene bottles were frozen at
-20\\u00b0C until analysis.  
 \\u00a0
 
DON and DOP measurements were added to the regular CARIACO cruises in July
2004 (CAR-101). Samples were filtered through GF/F filters using a specially
built vacuum filter rack. The DON method was based on Solorzano and Sharp
(1980). This procedure produces a filtered seawater sample for analysis of
total dissolved fixed nitrogen (=nitrate + nitrite + ammonium + DON). DON
concentration was obtained by difference from nitrate, nitrite, and ammonium
measured in the standard nutrient protocol. DOP was analyzed in the same
persulfate-oxidized filtrate solution as DON. That solution yields total
inorganic phosphate concentration, which was composed of the inorganic
phosphate concentration originally in the seawater, plus an additional
phosphate concentration due to the conversion of DOP to phosphate. DOP
concentration was then obtained by difference from the inorganic phosphate in
the unoxidized sample measured through the standard nutrient protocol.
 
\\u00a0
 
Optical measurements
 
In-water measurements: a PRR-600 (Biospherical) was used to retrieve
downwelling irradiance and upwelling radiance. From these, PAR, Kd and
reflectance can be calculated. Beam attenuation coefficient (Cp) was measured
using a C-Star transmissometer (see section Hydrocasts: CTD and Rosette
Sample), which provides measurements at 660 nm throughout the entire water
column.  
 \\u00a0
 
CDOM samples were measured at four depths (1m, 15m, 25m, 50m) by filtration
through a 0.2 \\u00b5m pore size filter and immediately frozen at -20\\u00b0C.
Before being analyzed, they were thawed and re-filtered to eliminate any salt
crystals that may had formed. CDOM was measured between 200 and 800 nm, with a
0.3 nm interval, using a dual fiber optic spectrometer (Ocean Optics) equipped
with 10-cm quartz cuvettes and distilled water as a blank.  
 \\u00a0
 
Above water measurements: a PR-650 (Photoresearch) measures sky radiance (Ls),
water leaving radiance (Lw) and total irradiance (Es) at an angle of 30\\u00b0.
From these measurements, remote sensing reflectance (Rrs = Lw/Es) can be
calculated and used in satellite sensor (such as MODIS and SeaWiFS)
calibration.  
 \\u00a0
 
Methods compiled by John Akl, July 2002. Revised November 2005 by Laura
Lorenzoni. Revised April 2019 by Digna Rueda-Roa  
 \\u00a0
 
The CARIACO Ocean Time-Series Program (November 1995 \\u2013 January 2017)
 
For a detailed log for each cruise, please refer to the supplemental document
Cruise Data Acquisition Report ([https://datadocs.bco-
dmo.org/docs/302/CARIACO/data_docs/3092/1/Cruise_da...](\\\\\"https://datadocs
.bco-
dmo.org/docs/302/CARIACO/data_docs/3092/1/Cruise_data_aquisition_report.xlsx\\\\\"))";
    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 
"Time-series Niskin-bottle sample data from R/V Hermano Gines cruises in the Cariaco Basin from 1995 through 2017 
 PI: Frank Muller-Karger  
 Version: 2019-06-06 
  
 Quality flags:\t 
 0\tdata is correct 
 1\tdata is an outlier above/below 3 standard deviations of the long term mean for each depth 
 v\tevidence of ventilation (0v or 1v) 
 \tQuality control flags were not assesed for:  Total Prokaryotes and Bacteria Biomass 
 \t 
 Other signs:\t 
 nd          sample was not taken, not measured 
 BM_master   Samples collected on different date by Stony Brook University group, and  
             reported in the master file of those cruises (Master: Biochemistry & Microbiology) 
 \t 
 Notes:\t 
 The biological cast (Primary Production, Chlorophyll, and Feopigments) was different to 
 the hydrographical variables, and the times of it are presented in the last columns\t 
 Cast '0' at cruise 229 refers to manually lowered Niskins bottles.";
    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 "2010-08-19T17:07:41Z";
    String date_modified "2019-06-07T19:19:40Z";
    String defaultDataQuery "&amp;time&lt;now";
    String doi "10.1575/1912/bco-dmo.3093.1";
    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 1351.0;
    Float64 geospatial_vertical_min 0.349;
    String geospatial_vertical_positive "down";
    String geospatial_vertical_units "m";
    String history 
"2024-11-23T16:47:29Z (local files)
2024-11-23T16:47:29Z https://erddap.bco-dmo.org/erddap/tabledap/bcodmo_dataset_3093.html";
    String infoUrl "https://www.bco-dmo.org/dataset/3093";
    String institution "BCO-DMO";
    String instruments_0_acronym "Niskin bottle";
    String instruments_0_dataset_instrument_nid "4833";
    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_10_acronym "LSC";
    String instruments_10_dataset_instrument_description "These vials were refrigerated until they were ready for analysis on a BetaScout (PerkinElmer) scintillation counter.";
    String instruments_10_dataset_instrument_nid "769961";
    String instruments_10_description "Liquid scintillation counting is an analytical technique which is defined by the incorporation of the radiolabeled analyte into uniform distribution with a liquid chemical medium capable of converting the kinetic energy of nuclear emissions into light energy. Although the liquid scintillation counter is a sophisticated laboratory counting system used the quantify the activity of particulate emitting (ß and a) radioactive samples, it can also detect the auger electrons emitted from 51Cr and 125I samples.";
    String instruments_10_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB21/";
    String instruments_10_instrument_name "Liquid Scintillation Counter";
    String instruments_10_instrument_nid "624";
    String instruments_10_supplied_name "BetaScout (PerkinElmer) scintillation counter";
    String instruments_11_acronym "Technicon AutoAnalyzerII";
    String instruments_11_dataset_instrument_description "Subsequent Cariaco analyses were performed on a Technicon Analyzer II";
    String instruments_11_dataset_instrument_nid "769954";
    String instruments_11_description "A rapid flow analyzer that may be used to measure nutrient concentrations in seawater. It is a continuous segmented flow instrument consisting of a sampler, peristaltic pump, analytical cartridge, heating bath, and colorimeter. See more information about this instrument from the manufacturer.";
    String instruments_11_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0291/";
    String instruments_11_instrument_name "Technicon AutoAnalyzerII";
    String instruments_11_instrument_nid "473306";
    String instruments_11_supplied_name "Technicon Analyzer II";
    String instruments_12_acronym "Alpkem RFA300";
    String instruments_12_dataset_instrument_description "These samples were analyzed on an ALPKEM RFA II.";
    String instruments_12_dataset_instrument_nid "769953";
    String instruments_12_description "A rapid flow analyser (RFA) that may be used to measure nutrient concentrations in seawater. It is an air-segmented, continuous flow instrument comprising a sampler, a peristaltic pump which simultaneously pumps samples, reagents and air bubbles through the system, analytical cartridge, heating bath, colorimeter, data station, and printer. The RFA-300 was a precursor to the smaller Alpkem RFA/2 (also RFA II or RFA-2).";
    String instruments_12_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0414/";
    String instruments_12_instrument_name "Alpkem RFA300";
    String instruments_12_instrument_nid "473308";
    String instruments_12_supplied_name "ALPKEM RFA II";
    String instruments_13_dataset_instrument_description "Measurement: The filters were folded inside a tin disk and analyzed on a Perkin Elmer 2400 Elemental Analyzer. The samples were combusted at 1200-1300°C and then passed through a reduction tube to removes the oxygen added to raise the combustion temperature. Filers were not acid fumed prior to analysis. The C and N were then separated in a chromatographic column and were measured on a Thermal Conductivity Detector. Carbon and nitrogen standards, and blank filters were used to calibrate the data. The accuracy of the instrument was";
    String instruments_13_dataset_instrument_nid "769964";
    String instruments_13_description "Instruments that quantify carbon, nitrogen and sometimes other elements by combusting the sample at very high temperature and assaying the resulting gaseous oxides. Usually used for samples including organic material.";
    String instruments_13_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB01/";
    String instruments_13_instrument_name "Elemental Analyzer";
    String instruments_13_instrument_nid "546339";
    String instruments_13_supplied_name "Perkin Elmer 2400 Elemental Analyzer.";
    String instruments_1_acronym "CTD SBE 19";
    String instruments_1_dataset_instrument_description "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.";
    String instruments_1_dataset_instrument_nid "769951";
    String instruments_1_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_1_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0042/";
    String instruments_1_instrument_name "CTD Sea-Bird SEACAT 19";
    String instruments_1_instrument_nid "420";
    String instruments_1_supplied_name "SBE-19";
    String instruments_2_acronym "CTD SBE 25";
    String instruments_2_dataset_instrument_description "Starting in September 1996, the SBE-19 CTDs were replaced by SBE-25 CTDs, which provided extremely accurate and reliable data in anoxic waters.";
    String instruments_2_dataset_instrument_nid "769952";
    String instruments_2_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_2_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0040/";
    String instruments_2_instrument_name "CTD Sea-Bird 25";
    String instruments_2_instrument_nid "421";
    String instruments_2_supplied_name "SBE-25";
    String instruments_3_acronym "Turner Fluorometer -10AU";
    String instruments_3_dataset_instrument_description "Chlorophyll procedure: after removal from the freezer, the filters were extracted in 10 ml of methanol. The samples were allowed to extract for 24 hours in the refrigerator. Following extraction, samples were centrifuged for 20 minutes to remove debris. The fluorometer (Turner fluorometer model 10-AU-005) was allowed to warm up and stabilize for 30 minutes prior to use. Pure methanol was measured to confirm the zero position. Samples were transferred to 1-cm cells and they were measured directly into the fluorometer (Fo). 100 µl of 0.48N HCl was added to each cell. A second reading was taken from the fluorometer for each cell (Fa). Standardization. The fluorometer was calibrated every year with a commercially available chlorophyll a standard (Σ). The concentration of chlorophyll-an and phaeopigments in the sample were calculated using Yentsh and Menzel (1963) equation, with a specific absorption coefficient of 74.5 (chlorophyll in methanol).";
    String instruments_3_dataset_instrument_nid "769962";
    String instruments_3_description "The Turner Designs 10-AU Field Fluorometer is used to measure Chlorophyll fluorescence.  The 10AU Fluorometer can be set up for continuous-flow monitoring or discrete sample analyses. A variety of compounds can be measured using application-specific optical filters available from the manufacturer. (read more from Turner Designs, turnerdesigns.com, Sunnyvale, CA, USA)";
    String instruments_3_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/";
    String instruments_3_instrument_name "Turner Designs Fluorometer -10-AU";
    String instruments_3_instrument_nid "464";
    String instruments_3_supplied_name "Turner fluorometer model 10-AU-005";
    String instruments_4_acronym "Sea Tech Transmissometer";
    String instruments_4_dataset_instrument_description "Beam attenuation measurements were added to the time series on its 11th cruise (November 1986) originally using a SeaTech transmissometer.";
    String instruments_4_dataset_instrument_nid "769950";
    String instruments_4_description "The Sea Tech Transmissometer can be deployed in either moored or profiling mode to estimate the concentration of suspended or particulate matter in seawater. The transmissometer measures the beam attenuation coefficient in the red spectral band (660 nm) of the laser lightsource over the instrument's path-length (e.g. 20 or 25 cm).  This instrument designation is used when specific make and model are not known. The Sea Tech Transmissometer was manufactured by Sea Tech, Inc. (Corvalis, OR, USA).";
    String instruments_4_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0003/";
    String instruments_4_instrument_name "Sea Tech Transmissometer";
    String instruments_4_instrument_nid "476";
    String instruments_4_supplied_name "SeaTech transmissometer";
    String instruments_5_acronym "LI-COR Biospherical PAR";
    String instruments_5_dataset_instrument_description "As the productivity cast was taken, a Licor Photosynthetically-Active Radiation (PAR) integrator, placed high above the ship's bridge, was activated.";
    String instruments_5_dataset_instrument_nid "769960";
    String instruments_5_description "The LI-COR Biospherical PAR Sensor is used to measure Photosynthetically Available Radiation (PAR) in the water column.  This instrument designation is used when specific make and model are not known.";
    String instruments_5_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0074/";
    String instruments_5_instrument_name "LI-COR Biospherical PAR Sensor";
    String instruments_5_instrument_nid "480";
    String instruments_5_supplied_name "Licor Photosynthetically-Active Radiation (PAR) integrator";
    String instruments_6_acronym "HPLC";
    String instruments_6_dataset_instrument_description "HPLC analysis was restarted in July 2006 (CAR-123). Samples were filtered 47 mm Whatman GF/F filters at 8 depths (1, 7, 15, 25, 35, 55, 75 and 100m). The volume filtered depends on the amount of particles in the water. Replicates were taken at the 1m depth. Filters were stored in aluminum envelopes and stored in the fridge until reaching shore. Once on shore, samples were stored at -40°C until transportation to the US. Horn Point Laboratory (http://www.hpl.umces.edu/) performs the analyses through a collaborative agreement with NASA. The method used was Van Heukelem and Thomas (2001).";
    String instruments_6_dataset_instrument_nid "769963";
    String instruments_6_description "A High-performance liquid chromatograph (HPLC) is a type of liquid chromatography used to separate compounds that are dissolved in solution. HPLC instruments consist of a reservoir of the mobile phase, a pump, an injector, a separation column, and a detector. Compounds are separated by high pressure pumping of the sample mixture onto a column packed with microspheres coated with the stationary phase. The different components in the mixture pass through the column at different rates due to differences in their partitioning behavior between the mobile liquid phase and the stationary phase.";
    String instruments_6_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L05/current/LAB11/";
    String instruments_6_instrument_name "High Performance Liquid Chromatograph";
    String instruments_6_instrument_nid "506";
    String instruments_6_supplied_name "HPLC";
    String instruments_7_acronym "SBE-43 DO";
    String instruments_7_dataset_instrument_description "The CTD also had a SBE-43 oxygen probe";
    String instruments_7_dataset_instrument_nid "769947";
    String instruments_7_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_7_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0036/";
    String instruments_7_instrument_name "Sea-Bird SBE 43 Dissolved Oxygen Sensor";
    String instruments_7_instrument_nid "552";
    String instruments_7_supplied_name "SBE-43 oxygen probe";
    String instruments_8_acronym "WL CSTAR Trans";
    String instruments_8_dataset_instrument_description "a C-Star transmissometer (660 nm, Wetlabs)";
    String instruments_8_dataset_instrument_nid "769949";
    String instruments_8_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_8_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0160/";
    String instruments_8_instrument_name "Wet Labs CSTAR Transmissometer";
    String instruments_8_instrument_nid "593";
    String instruments_8_supplied_name "C-Star transmissometer";
    String instruments_9_acronym "WETLabs ECO-FLNTU";
    String instruments_9_dataset_instrument_description "a Wetlabs ECO fluorometer outfitted for chlorophyll-a estimates";
    String instruments_9_dataset_instrument_nid "769948";
    String instruments_9_description "The ECO FLNTU is a dual-wavelength, single-angle sensor for simultaneously determining both chlorophyll fluorescence and turbidity.";
    String instruments_9_instrument_external_identifier "https://vocab.nerc.ac.uk/collection/L22/current/TOOL0215/";
    String instruments_9_instrument_name "WETLabs ECO-FLNTU";
    String instruments_9_instrument_nid "601";
    String instruments_9_supplied_name "Wetlabs ECO fluorometer";
    String keywords "alkalinity, Alkalinity_mol_kg, Alkalinity_umol_kg, ammonia, ammonium, bact, Bact_Biomass_mgC_m3, Bact_Biomass_uMC, bco, bco-dmo, bio, Bio_cast_no, biological, biomass, bottles, C_N_particulate, carbon, carbon dioxide, cast, chemical, chemistry, chlorophyll, co2, commerce, concentration, concentration_of_chlorophyll_in_sea_water, corrected, cruise, Cruise_ID_1, Cruise_ID_2, Cruise_number, data, dataset, date, day, density, department, depth, Depth_real, Depth_target, dioxide, dmo, doc, don, dop, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > pH, Earth Science > Oceans > Ocean Chemistry > Phosphate, Earth Science > Oceans > Salinity/Density > Salinity, end, erddap, fCO2, fCO2_corrected, florida, hydro, Hydro_cast_no, iso, ISO_DateTime_end_bc_local, ISO_DateTime_end_bc_UTC, ISO_DateTime_end_hc_local, ISO_DateTime_end_hc_UTC, ISO_DateTime_start_bc_local, ISO_DateTime_start_bc_UTC, ISO_DateTime_start_hc_local, ISO_DateTime_start_hc_UTC, latitude, leg, local, longitude, management, mass, mass_concentration_of_phosphate_in_sea_water, mol, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, mole_concentration_of_nitrite_in_sea_water, month, n02, nh4, NH4_USF, nitrate, nitrite, no2, NO2_USF, no3, NO3_NO2_USF, NO3_UDO, number, O2, O2_ml_L, O2_umol_kg, ocean, oceanography, oceans, office, oxygen, particulate, pH_corrected, phaeopigments, phosphate, pip, PN_ug_L, po4, PO4_UDO, PO4_USF, poc, POC_ug_kg, POC_ug_L, pon, PON_ug_kg, practical, preliminary, primary, PrimaryProductivity, productivity, prokaryotes, q_Alkalinity_mol_kg, q_Alkalinity_umol_kg, q_C_N_particulate, q_Chlorophyll, q_DOC, q_DON, q_DOP, q_fCO2, q_fCO2_corrected, q_NH4_USF, q_NO2_USF, q_NO3_NO3_USF, q_NO3_UDO, q_O2_ml_L, q_O2_umol_kg, q_pH, q_pH_corrected, q_Phaeopigments, q_PIP, q_PN_ug_L, q_PO4_UDO, q_PO4_USF, q_POC_ug_kg, q_POC_ug_L, q_PON_ug_kg, q_PrimaryProductivity, q_Salinity_bottles, q_Salinity_CTD, q_Sigma_t, q_SiO4_UDO, q_SiO4_USF, q_TCO2, q_TCO2_corrected, q_Temperature, q_TOC, q_TPP, reported, salinity, Salinity_bottles, Salinity_CTD, scale, science, sea, sea_water_ph_reported_on_total_scale, sea_water_practical_salinity, seawater, sigma, Sigma_t, SiO4_UDO, SiO4_USF, south, start, tco2, TCO2_corrected, temperature, time, toc, total, Total_Prokaryotes, tpp, u, udo, umol, university, usf, water, year";
    String keywords_vocabulary "GCMD Science Keywords";
    String license "https://www.bco-dmo.org/dataset/3093/license";
    String metadata_source "https://www.bco-dmo.org/api/dataset/3093";
    Float64 Northernmost_Northing 10.683;
    String param_mapping "{'3093': {'Depth_real': 'flag - depth', 'Latitude': 'flag - latitude', 'ISO_DateTime_start_hc_UTC': 'flag - time', 'Longitude': 'flag - longitude'}}";
    String parameter_source "https://www.bco-dmo.org/mapserver/dataset/3093/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 "Estacion de Investigaciones Marinas de Margarita";
    String people_10_affiliation_acronym "EDIMAR-FLASA";
    String people_10_person_name "Juan Capelo";
    String people_10_person_nid "769554";
    String people_10_role "Scientist";
    String people_10_role_type "originator";
    String people_11_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_11_affiliation_acronym "EDIMAR-FLASA";
    String people_11_person_name "Javier Gutierrez";
    String people_11_person_nid "51069";
    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 "Laurencia Guzman";
    String people_12_person_nid "769552";
    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 "Laura Lorenzoni";
    String people_13_person_nid "51044";
    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 "Enrique Montes";
    String people_14_person_nid "769548";
    String people_14_role "Scientist";
    String people_14_role_type "originator";
    String people_15_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_15_affiliation_acronym "EDIMAR-FLASA";
    String people_15_person_name "Jaimie Rojas";
    String people_15_person_nid "559369";
    String people_15_role "Scientist";
    String people_15_role_type "originator";
    String people_16_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_16_affiliation_acronym "EDIMAR-FLASA";
    String people_16_person_name "Anadiuska Rondon";
    String people_16_person_nid "770099";
    String people_16_role "Scientist";
    String people_16_role_type "originator";
    String people_17_affiliation "University of South Florida";
    String people_17_affiliation_acronym "USF";
    String people_17_person_name "Digna Rueda-Roa";
    String people_17_person_nid "647919";
    String people_17_role "Scientist";
    String people_17_role_type "originator";
    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 "Scientist";
    String people_18_role_type "originator";
    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 "Student";
    String people_19_role_type "related";
    String people_1_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_1_affiliation_acronym "EDIMAR-FLASA";
    String people_1_person_name "Yrene Astor";
    String people_1_person_nid "51110";
    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 "Enrique Montes";
    String people_20_person_nid "769548";
    String people_20_role "Student";
    String people_20_role_type "related";
    String people_21_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_21_affiliation_acronym "EDIMAR-FLASA";
    String people_21_person_name "Jaimie Rojas";
    String people_21_person_nid "559369";
    String people_21_role "Student";
    String people_21_role_type "related";
    String people_22_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_22_affiliation_acronym "EDIMAR-FLASA";
    String people_22_person_name "Anadiuska Rondon";
    String people_22_person_nid "770099";
    String people_22_role "Student";
    String people_22_role_type "related";
    String people_23_affiliation "University of South Florida";
    String people_23_affiliation_acronym "USF";
    String people_23_person_name "Digna Rueda-Roa";
    String people_23_person_nid "647919";
    String people_23_role "Student";
    String people_23_role_type "related";
    String people_24_affiliation "University of South Florida";
    String people_24_affiliation_acronym "USF";
    String people_24_person_name "Laura Lorenzoni";
    String people_24_person_nid "51044";
    String people_24_role "Contact";
    String people_24_role_type "related";
    String people_25_affiliation "University of South Florida";
    String people_25_affiliation_acronym "USF";
    String people_25_person_name "Digna Rueda-Roa";
    String people_25_person_nid "647919";
    String people_25_role "Contact";
    String people_25_role_type "related";
    String people_26_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_26_affiliation_acronym "EDIMAR-FLASA";
    String people_26_person_name "Glenda Arias";
    String people_26_person_nid "770095";
    String people_26_role "Technician";
    String people_26_role_type "related";
    String people_27_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_27_affiliation_acronym "EDIMAR-FLASA";
    String people_27_person_name "Jonnathan Garcia";
    String people_27_person_nid "770093";
    String people_27_role "Technician";
    String people_27_role_type "related";
    String people_28_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_28_affiliation_acronym "EDIMAR-FLASA";
    String people_28_person_name "Javier Gutierrez";
    String people_28_person_nid "51069";
    String people_28_role "Technician";
    String people_28_role_type "related";
    String people_29_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_29_affiliation_acronym "EDIMAR-FLASA";
    String people_29_person_name "Laurencia Guzman";
    String people_29_person_nid "769552";
    String people_29_role "Technician";
    String people_29_role_type "related";
    String people_2_affiliation "University of South Florida";
    String people_2_affiliation_acronym "USF";
    String people_2_person_name "Dr Frank Muller-Karger";
    String people_2_person_nid "50809";
    String people_2_role "Principal Investigator";
    String people_2_role_type "originator";
    String people_30_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_30_affiliation_acronym "EDIMAR-FLASA";
    String people_30_person_name "Jesus Narvaez";
    String people_30_person_nid "769558";
    String people_30_role "Technician";
    String people_30_role_type "related";
    String people_31_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_31_affiliation_acronym "EDIMAR-FLASA";
    String people_31_person_name "Patricia Ojeda";
    String people_31_person_nid "770091";
    String people_31_role "Technician";
    String people_31_role_type "related";
    String people_32_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_32_affiliation_acronym "EDIMAR-FLASA";
    String people_32_person_name "Jaimie Rojas";
    String people_32_person_nid "559369";
    String people_32_role "Technician";
    String people_32_role_type "related";
    String people_33_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_33_affiliation_acronym "EDIMAR-FLASA";
    String people_33_person_name "Anadiuska Rondon";
    String people_33_person_nid "770099";
    String people_33_role "Technician";
    String people_33_role_type "related";
    String people_34_affiliation "Estacion de Investigaciones Marinas de Margarita";
    String people_34_affiliation_acronym "EDIMAR-FLASA";
    String people_34_person_name "Alberto Rosales";
    String people_34_person_nid "769560";
    String people_34_role "Technician";
    String people_34_role_type "related";
    String people_35_affiliation "University of South Carolina";
    String people_35_person_name "Eric Tappa";
    String people_35_person_nid "769556";
    String people_35_role "Technician";
    String people_35_role_type "related";
    String people_36_affiliation "University of South Florida";
    String people_36_affiliation_acronym "USF";
    String people_36_person_name "Laura Lorenzoni";
    String people_36_person_nid "51044";
    String people_36_role "Data Manager";
    String people_36_role_type "related";
    String people_37_affiliation "University of South Florida";
    String people_37_affiliation_acronym "USF";
    String people_37_person_name "Digna Rueda-Roa";
    String people_37_person_nid "647919";
    String people_37_role "Data Manager";
    String people_37_role_type "related";
    String people_38_affiliation "Woods Hole Oceanographic Institution";
    String people_38_affiliation_acronym "WHOI BCO-DMO";
    String people_38_person_name "Mathew Biddle";
    String people_38_person_nid "708682";
    String people_38_role "BCO-DMO Data Manager";
    String people_38_role_type "related";
    String people_39_affiliation "University of South Florida";
    String people_39_affiliation_acronym "USF";
    String people_39_person_name "Theresa McKee";
    String people_39_person_nid "51103";
    String people_39_role "BCO-DMO Data Manager";
    String people_39_role_type "related";
    String people_3_affiliation "Stony Brook University - MSRC";
    String people_3_affiliation_acronym "SUNY-SB MSRC";
    String people_3_person_name "Dr Mary  I. Scranton";
    String people_3_person_nid "51057";
    String people_3_role "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 "Gordon T. Taylor";
    String people_4_person_nid "51058";
    String people_4_role "Principal Investigator";
    String people_4_role_type "originator";
    String people_5_affiliation "University of South Carolina";
    String people_5_person_name "Dr Robert  C. Thunell";
    String people_5_person_nid "51043";
    String people_5_role "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 "Principal Investigator";
    String people_6_role_type "originator";
    String people_7_affiliation "University of South Carolina";
    String people_7_person_name "Claudia R. Benitez-Nelson";
    String people_7_person_nid "51092";
    String people_7_role "Co-Principal Investigator";
    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 "Kristen N. Buck";
    String people_8_person_nid "51624";
    String people_8_role "Co-Principal Investigator";
    String people_8_role_type "originator";
    String people_9_affiliation "University of South Florida";
    String people_9_affiliation_acronym "USF";
    String people_9_person_name "Kent Fanning";
    String people_9_person_nid "50507";
    String people_9_role "Co-Principal Investigator";
    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.";
    String time_coverage_start "1995-11-08T10:12:00Z";
    String title "[Niskin bottle samples] - Time-series Niskin-bottle sample data from R/V Hermano Gines 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";
  }
}

 

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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 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.

• (easy) You can get data by using the dataset's Data Access Form or Subset form. They make the URL for you.
• (easy) You can make a graph or map by using the dataset's Make A Graph form. It makes the URL for you.
• (not hard) You can bypass the forms and get the data or make a graph or map by generating the URL by hand or with a computer program or script.

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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ERDDAP, Version 2.22
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