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attribute NC_GLOBAL access_formats String .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson,.odvTxt
attribute NC_GLOBAL acquisition_description String Hydrocasts: CTD and Rosette Sample\n \nDuring each cruise, a minimum of four hydrocasts were performed to collect a\nsuite of core monthly observations. Additional hydrocasts were performed for\nspecific process studies. We conducted separate shallow and deep casts to\nobtain better vertical resolution for chemical observations, and for\nproductivity and pigment observations. Water was collected with a SeaBird\nrosette equipped with 12 (8 liter) teflon-coated Niskin bottles (bottle\nsprings were also teflon-coated) at 20 depths between the surface and 1310 m.\nThe rosette housed the CTD, which collected continuous profiles of temperature\nand salinity. The CTD also had a SBE-43 oxygen probe, a Wetlabs ECO\nfluorometer outfitted for chlorophyll-a estimates, and a C-Star\ntransmissometer (660 nm, Wetlabs). Beam attenuation measurements were added to\nthe time series on its 11th cruise (November 1986) originally using a SeaTech\ntransmissometer. The rosette was controlled with a SeaBird deck unit via\nconducting cable, but alternatively it had been actuated automatically based\non pressure recordings via an Autofire Module (SBE AFM) when breaks in cable\nconductivity had occurred.\n \n Between November 1995 and September 1996, three separate SBE-19 CTDs were\nused in repeated casts until a reliable salinity profile was obtained below\nthe oxycline. The SBE-19 model CTDs frequently failed to provide reliable\nconductivity values below the oxycline in the Cariaco Basin. Starting in\nSeptember 1996, the SBE-19 CTDs were replaced by SBE-25 CTDs, which provided\nextremely accurate and reliable data in anoxic waters.  \n \\u00a0\n \nAll CTDs were calibrated at the Sea-Bird factory once per year. The accuracy\nof the pressure sensor was 3.5 m and had a resolution of 0.7 m. The\ntemperatures accuracy was 0.002\\u00b0C with a resolution of 0.0003\\u00b0C. The\nconductivity accuracy was 0.003 mmho/cm with a resolution of 0.0004 mmho/cm.  \n \\u00a0\n \nSalinity\n \nContinuous salinity profiles were calculated from the CTD measurements.\nDiscrete salinity samples were analyzed using a Guildline Portasal 8410\nsalinometer standardized with IAPSO Standard Seawater, with a precision of\nbetter than \\u00b1 0.003 and a resolution of 0.0003 mS/cm at 15\\u00b0 C and 35\npsu, the accuracy was \\u00b10.003 at the same set point temperature as\nstandardization and within -2\\u00b0 and +4\\u00b0C of ambient. These salinity\nvalues were used to check, and when necessary calibrate, the CTD salinity\nprofiles.  \n \\u00a0\n \nDiscrete Oxygen\n \nContinuous dissolved oxygen (O2) profiles were obtained with a SBE-43\nDissolved Oxygen Sensor coupled to the SBE-25 CTD. Discrete oxygen samples\nwere collected in duplicate using glass-stoppered bottles and analyzed by\nWinkler titration (Strickland and Parsons, 1972, as modified by Aminot, 1983).\nThe analytical precision for discrete oxygen analysis was \\u00b13 mM, based on\nanalysis of duplicate samples, with a detection limit of 5 mM.  \n \\u00a0\n \nNutrients\n \nSince CAR-072 (November 2001) all samples had been filtered through a 0.8\n\\u00b5m Nucleopore filter within minutes of collection, as recommended by the\nJGOFS protocol, and frozen in plastic bottles until analysis at the University\nof South Florida (USF). Previous to November 2001, nutrients were filtered\nthrough a 0.7 \\u00b5m GF/F filter before freezing. This data was still\nconsidered reliable, as tests using glass fiber filters show no significant\ncontamination. The analyses follow the standard techniques described by\nStrickland and Parsons (1972). USF follows the recommendations of Gordon et\nal. (1993) for the WOCE WHP project for nutrient analysis.  \n \\u00a0\n \nSince CAR-069 (August 2001) all silica samples were kept unfrozen; they were\nrefrigerated and kept in the dark. Prior to CAR-069, silicates were frozen and\nthose exhibiting high concentration of silica (> 40\\u00b5M below 300m in\nCARIACO) were affected by polymerization. All deep samples that were frozen\nshowed low values due to polymerization loss, except CAR-063 and CAR-068 which\nshowed high values. CAR-069 was analyzed by Yrene Astor at EDIMAR from the\nseparate unfrozen bottlesand at USF from other, frozen, bottles. Unfrozen\nCAR-069 resulted higher with deep values close to what was expected (e.g.\n\\u223c92\\u00b5M at 1310m).  \n \\u00a0\n \nDetection limits for CARIACO nutrient analysis\n \nThe limits below were determined by calculating the concentrations in\ntriplicate standards, averaging the results within each triplicate group,\ncalculating the standard deviation for each group, averaging the standard\ndeviations, and finally doubling the averages to get the detection limits.\nThese samples were analyzed on an ALPKEM RFA II. Subsequent Cariaco analyses\nwere performed on a Technicon Analyzer II\n \n  \nNutrient Type\n  |  \nALPKEM RFA II\n  |  \nTechnicon Analyzer II\n    \n---|---|---  \n \nDetection limits\n  |  \nErrors of analysis\n  |  \nDetection limits\n    \n \nPO4 Phosphate\n  |  \n0.03 \\u00b5mol\n  |  \n<0.01 \\u00b5M\n  |  \n0.02 \\u00b5M\n    \n \nSi(OH)4 Silica\n  |  \n0.14 \\u00b5mol\n  |  \n0.2 \\u00b5M\n  |  \n0.4 \\u00b5M\n    \n \nNO3 Nitrate\n  |  \n0.06 \\u00b5mol\n  |  \n0.02 \\u00b5M\n  |  \n0.04 \\u00b5M\n    \n \nNO2 Nitrite\n  |  \n0.02 \\u00b5mol\n  |  \n<0.01 \\u00b5M\n  |  \n0.01 \\u00b5M\n    \n \nNH4 Ammonium\n  |  \n0.07 \\u00b5mol\n  |  \n0.05 \\u00b5M\n  |  \n0.1 \\u00b5M\n    \n \n\\u00a0\n \nPrimary Production\n \nPrimary productivity measurements were made using a modified Steeman Nielsen\n(1952) NaH14CO3 uptake assay. The productivity measurements consisted of in\nsitu incubations of water collected at 8 depths and inoculated with 14C-\nlabeled bicarbonate. One hour before sunrise, a shallow cast was performed to\nobtain water from 1, 7, 15, 25, 35, 55, 75, and 100 meters. As the\nproductivity cast was taken, a Licor Photosynthetically-Active Radiation (PAR)\nintegrator, placed high above the ship's bridge, was activated. Water was\npoured directly from the Niskin bottle under low light conditions into 250 ml\nclear polycarbonate bottles. These bottles had been previously acid-washed,\nrinsed, and soaked in de-ionized water for over 48 hours. Bottles were rinsed\nthree times before filling, a near total fill (the volume within the bottles\nwas actually 290 ml of sea water). Four clear polycarbonate bottles were\nfilled from each depth. We wrap one inoculated bottle from each depth in\naluminum foil to obtain the dark 14-C uptake rates. An extra bottle for 1, 15,\n35, and 75 m was filled, but not inoculated, to provide time-zero (t0) filter\nand seawater blanks. The t0 samples were kept in the dark in the laboratory\nand were filtered after deploying the floating incubation buoy.  \n \\u00a0\n \nWe inoculated each sample under low light conditions with 1,000 ml (4 mCi) of\nthe 14C sodium bicarbonate working solution. A 200 ml aliquot for counting\ntotal added 14C activity was removed from one of the 3 bottles from each depth\nand placed in a 20 ml glass scintillation vial containing 250 ml ethanolamine.\nThe mixture was held at 5\\u00b0C until subsequent liquid scintillation\nanalysis on shore. We also placed 50 ml of the 14C working solution in a vial\nwith ethanolamine (250 ml) for reference counting.  \n \\u00a0\n \nThe dark bottle and 3 light bottles were hooked together with a combination of\nplastic tie wraps and nylon cord, and kept in the dark while preparations were\nmade for deployment of the productivity incubation float. At approximately\n07:00 hours, the productivity array was deployed. The entire productivity\nensemble was attached to a buoy equipped with a flag and radar reflector.  \n \\u00a0\n \nProductivity observations were initiated on December 1995. Between December\n1995 and November 1996, we incubated samples from 06:00 to 10:00 hours.\nStarting December 1996, we changed our protocol to incubate between 07:00 and\n11:00 hours. This more accurately represents 1/3 of the daily photoperiod and\n1/3 of the total energy received in one day on a year-round basis at\n10\\u00b030'N, as verified with the PAR light sensor.  \n \\u00a0\n \nApproximately 4 hours after deployment, the productivity array was recovered.\nWe decided to use 4-hour incubation periods due to the potentially high\nproductivity (>1,000 mg/(m\\u00b2d)) of this continental margin. Sample bottles\nwere detached from the line and placed in labeled, dark plastic bags until\nfiltration. Time and position of recovery were recorded. Maintaining low light\nconditions, a 50 ml aliquot was withdrawn from each productivity bottle using\na 50 ml plastic syringe. This aliquot was filtered onto a 25 mm Whatman GF/F\nglass fiber filter, maintaining vacuum levels of \\u223c1/3 atm. The filter was\nrinsed with 0.25 ml 0.5 N HCl, and placed in a 20 ml glass scintillation vial,\ncovered, and held at 5\\u00b0C until subsequent processing on shore. At the\nshore laboratory, immediately upon return and within 15 hours of sample\ncollection, 10 ml of liquid scintillation cocktail were added to the vials\nwith the filters. These vials were refrigerated until they were ready for\nanalysis on a BetaScout (PerkinElmer)scintillation counter.  \n \\u00a0\n \nCarbon uptake calculations followed the standard formulation outlined in the\nJGOFS manual (UNESCO, 1994), taking into consideration a (very low) quenching\ncurve. Specifically, we subtracted the blank from all bottles, and then\nsubtracted the dark bottle uptake from the average uptake in the light bottles\nto correct for non-photoautotrophic carbon fixation or absorption. Dark uptake\nvalues had always been very low. A scaling factor (\\u223c3) was applied to\nconvert the hourly production value to a \\\"daily mean hourly average\\\". This\nfactor varies slightly, as it was based on the fraction of the energy received\nduring the incubation period relative to the total energy received in a day.\nDaily rates were derived by multiplying the hourly rate by 12. Gieskes and Van\nBennekom (1973), Peterson (1980), and Carpenter and Lively (1980) review the\nhistorical background, problems, and assumptions involved in the application\nof the radiocarbon technique to aquatic productivity. Muller-Karger (1984)\nalso summarizes the technique and corrections involved.  \n \\u00a0\n \npH and Alkalinity\n \npH samples were collected directly in 10-cm cells and analyzed on board. We\nmeasured pH and total Alkalinity estimates using the precise\nspectrophotometric dye methods developed by Robert-Baldo et al. (1985), Byrne\nand Breland (1989), and which we modified from Clayton and Byrne (1993) and\nBreland and Byrne (1993). These methods circumvent the problem that arises\nwhen potentiometric electrodes were transferred from dilute buffers to sea\nwater samples due to the sample's high ionic strength. All the pH values were\nreported in the Master file for CARIACO data at 25 \\u2103 to avoid the effects\nof temperature on the solution chemistry. Measurement analytical precision for\npHT at 25\\u00b0C (total_hydrogen_ion_scale) = \\u00b10.003, and for\nTotal_alkalinity (mmol/kg), the precision is = 5 mmol/kg.\\u00a0  \n \\u00a0\n \nCorrections of pH for dye indicator impurities: The pH method uses the dye\nmeta-cresol purple (mCP) as the pH indicator. The mCP dye used in CARIACO was\nin its unpurified form. Impurities in the indicator dye may cause uncertainty\nin measured pH values (Yao et al., 2007). Unpurified forms of the dye absorb\nsignificantly at the wavelength of maximum absorption for the acid species,\nHI- (434 nm) (Liu et al., 2011). The ratio of indicator absorbance at\nwavelengths 578 (base specie, I2-) and 434 (R = A578/A434) is used to\ncalculate pH. Therefore, the effect of the impurities translates into apparent\nlower pH calculated values, especially at surface waters where pH > 8.0 (Yao\net al., 2007). The effect of the impurities varies from one indicator\nmanufacturer to another, and from different batches of the same manufacturer\n(Yao et al., 2007). Fortunately, the indicator used for the whole dataset in\nCARIACO came from the same batch. Hence, a correction for mCP impurities was\napplied following the method developed by Douglas and Byrne (2017) to each set\nof data for each cruise. This correction translated to ~ -0.01 units at pH ~\n8.1, decreasing to ~ - 0.008 units at pH ~ 7.6. The corrections were applied\nto the whole dataset, and values for DIC and fCO2 were recalculated in the\nMaster file. All the pH values were reported in the Master file for CARIACO\ndata at 25 \\u2103 to avoid the effects of temperature on the solution\nchemistry.\\u00a0  \n \\u00a0\n \nChlorophyll\n \nChlorophyll sample collection and storage: water samples were collected from\nNiskin bottles into 1 L dark polyethylene bottles. These samples were\nimmediately filtered through 25 mm Whatman GF/F filters using a vacuum of less\nthan 100 mm Hg. During the upwelling season (approx. January-May) we filtered\n250 ml seawater, and during the rest of the year we filtered 500 ml. Three\nreplicates were taken per depth during the upwelling season, but only two were\ncollected when biomass was obviously at its minimum, during the non-upwelling\nseason. Filters were folded in half twice and placed in glass centrifuge\ntubes, labeled and frozen. Storage time was kept as short as possible (less\nthan a week) before measurement.  \n \\u00a0\n \nChlorophyll procedure: after removal from the freezer, the filters were\nextracted in 10 ml of methanol. The samples were allowed to extract for 24\nhours in the refrigerator. Following extraction, samples were centrifuged for\n20 minutes to remove debris. The fluorometer (Turner fluorometer model\n10-AU-005) was allowed to warm up and stabilize for 30 minutes prior to use.\nPure methanol was measured to confirm the zero position. Samples were\ntransferred to 1-cm cells and they were measured directly into the fluorometer\n(Fo). 100 \\u00b5l of 0.48N HCl was added to each cell. A second reading was\ntaken from the fluorometer for each cell (Fa). Standardization. The\nfluorometer was calibrated every year with a commercially available\nchlorophyll a standard (\\u03a3). The concentration of chlorophyll-an and\nphaeopigments in the sample were calculated using Yentsh and Menzel (1963)\nequation, with a specific absorption coefficient of 74.5 (chlorophyll in\nmethanol).  \n \\u00a0\n \nHPLC\n \nHPLC analysis was restarted in July 2006 (CAR-123). Samples were filtered 47\nmm Whatman GF/F filters at 8 depths (1, 7, 15, 25, 35, 55, 75 and 100m). The\nvolume filtered depends on the amount of particles in the water. Replicates\nwere taken at the 1m depth. Filters were stored in aluminum envelopes and\nstored in the fridge until reaching shore. Once on shore, samples were stored\nat -40\\u00b0C until transportation to the US. Horn Point Laboratory\n([http://www.hpl.umces.edu/](\\\\\"http://www.hpl.umces.edu/\\\\\")) performs the\nanalyses through a collaborative agreement with NASA. The method used was Van\nHeukelem and Thomas (2001).\\u00a0  \n \\u00a0\n \nPOC and PON\n \nPOC and PON sample collection and storage: water samples were collected from\nNiskin bottles into 2 L dark polyethylene bottles. These samples were\nimmediately filtered through 25 mm Whatman GF/F filters (precombusted for 5\nhours at 450\\u00b0C) using a vacuum of less than 100 mm Hg. Since July 2007\n(CAR-135) filters were acidified (10% HCl) after combustion and prior to\nsample collection. A portion of these filters was used for POP analysis (see\nbelow). Filters were placed on expendable tin disks and then into aluminum\nfoil envelops (also precombusted for 5 hours at 450\\u00b0C) labeled and\nfrozen. In the laboratory, filters were dried at 65\\u00b0C for 12-15 hours\nthen stored with silica gel.\n \nMeasurement: The filters were folded inside a tin disk and analyzed on a\nPerkin Elmer 2400 Elemental Analyzer. The samples were combusted at\n1200-1300\\u00b0C and then passed through a reduction tube to removes the\noxygen added to raise the combustion temperature. Filers were not acid fumed\nprior to analysis. The C and N were then separated in a chromatographic column\nand were measured on a Thermal Conductivity Detector. Carbon and nitrogen\nstandards, and blank filters were used to calibrate the data. The accuracy of\nthe instrument was <0.3% and the precision of the instrument was <0.2%. These\nwere published values and we find that we were always within these limits\n(usually \\u00b10.15% for carbon and \\u00b10.1% for nitrogen). We ran cystine\nas our standard (29.99% Carbon, 11.66% Nitrogen). The analytical range of the\ninstrument is: Carbon= .001 to 3.6 mg and Nitrogen= 0.001 to 6.0 mg.  \n \\u00a0\n \nPOP\n \nPOP was analyzed from the same POC/PON filters. The method used for the SRP\nanalysis was based on Koroleff (1983).  \n \\u00a0\n \nDissolved organic Carbon, Nitrogen and Phosphorous (DOC, DON and DOP)\n \nMeasurements of DOC were taken since the beginning of the project in November\n1995 but suspended in February 2001 (CAR-062) due to irregularity of results.\nDOC was reinitiated in March 2005 (CAR-110) using a new protocol. DOC samples\nwere collected monthly and analyzed at the Organic Biogeochemistry Lab in the\nRosenstiel School of Marine & Atmospheric Science at the University of Miami.\nSamples were gravity-filtered directly from the Niskin bottles through 45 mm\nGF/F precombusted filters using acid cleaned polycarbonate in-line filter\nholder. Immediately after filtration the polyethylene bottles were frozen at\n-20\\u00b0C until analysis.  \n \\u00a0\n \nDON and DOP measurements were added to the regular CARIACO cruises in July\n2004 (CAR-101). Samples were filtered through GF/F filters using a specially\nbuilt vacuum filter rack. The DON method was based on Solorzano and Sharp\n(1980). This procedure produces a filtered seawater sample for analysis of\ntotal dissolved fixed nitrogen (=nitrate + nitrite + ammonium + DON). DON\nconcentration was obtained by difference from nitrate, nitrite, and ammonium\nmeasured in the standard nutrient protocol. DOP was analyzed in the same\npersulfate-oxidized filtrate solution as DON. That solution yields total\ninorganic phosphate concentration, which was composed of the inorganic\nphosphate concentration originally in the seawater, plus an additional\nphosphate concentration due to the conversion of DOP to phosphate. DOP\nconcentration was then obtained by difference from the inorganic phosphate in\nthe unoxidized sample measured through the standard nutrient protocol.\n \n\\u00a0\n \nOptical measurements\n \nIn-water measurements: a PRR-600 (Biospherical) was used to retrieve\ndownwelling irradiance and upwelling radiance. From these, PAR, Kd and\nreflectance can be calculated. Beam attenuation coefficient (Cp) was measured\nusing a C-Star transmissometer (see section Hydrocasts: CTD and Rosette\nSample), which provides measurements at 660 nm throughout the entire water\ncolumn.  \n \\u00a0\n \nCDOM samples were measured at four depths (1m, 15m, 25m, 50m) by filtration\nthrough a 0.2 \\u00b5m pore size filter and immediately frozen at -20\\u00b0C.\nBefore being analyzed, they were thawed and re-filtered to eliminate any salt\ncrystals that may had formed. CDOM was measured between 200 and 800 nm, with a\n0.3 nm interval, using a dual fiber optic spectrometer (Ocean Optics) equipped\nwith 10-cm quartz cuvettes and distilled water as a blank.  \n \\u00a0\n \nAbove water measurements: a PR-650 (Photoresearch) measures sky radiance (Ls),\nwater leaving radiance (Lw) and total irradiance (Es) at an angle of 30\\u00b0.\nFrom these measurements, remote sensing reflectance (Rrs = Lw/Es) can be\ncalculated and used in satellite sensor (such as MODIS and SeaWiFS)\ncalibration.  \n \\u00a0\n \nMethods compiled by John Akl, July 2002. Revised November 2005 by Laura\nLorenzoni. Revised April 2019 by Digna Rueda-Roa  \n \\u00a0\n \nThe CARIACO Ocean Time-Series Program (November 1995 \\u2013 January 2017)\n \nFor a detailed log for each cruise, please refer to the supplemental document\nCruise Data Acquisition Report ([https://datadocs.bco-\ndmo.org/docs/302/CARIACO/data_docs/3092/1/Cruise_da...](\\\\\"https://datadocs\n.bco-\ndmo.org/docs/302/CARIACO/data_docs/3092/1/Cruise_data_aquisition_report.xlsx\\\\\"))
attribute NC_GLOBAL awards_0_award_nid String 54619
attribute NC_GLOBAL awards_0_award_number String unknown CARIACO FONACIT
attribute NC_GLOBAL awards_0_funder_name String Fondo Nacional de Ciencia, Tecnología e Innovación of Venezuela
attribute NC_GLOBAL awards_0_funding_acronym String FONACIT
attribute NC_GLOBAL awards_0_funding_source_nid String 359
attribute NC_GLOBAL awards_10_award_nid String 54895
attribute NC_GLOBAL awards_10_award_number String OCE-0963028
attribute NC_GLOBAL awards_10_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0963028 (external link)
attribute NC_GLOBAL awards_10_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_10_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_10_funding_source_nid String 355
attribute NC_GLOBAL awards_10_program_manager String Donald L. Rice
attribute NC_GLOBAL awards_10_program_manager_nid String 51467
attribute NC_GLOBAL awards_11_award_nid String 54919
attribute NC_GLOBAL awards_11_award_number String OCE-0752139
attribute NC_GLOBAL awards_11_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0752139 (external link)
attribute NC_GLOBAL awards_11_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_11_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_11_funding_source_nid String 355
attribute NC_GLOBAL awards_11_program_manager String Donald L. Rice
attribute NC_GLOBAL awards_11_program_manager_nid String 51467
attribute NC_GLOBAL awards_12_award_nid String 54950
attribute NC_GLOBAL awards_12_award_number String 96280221
attribute NC_GLOBAL awards_12_funder_name String Fondo Nacional de Ciencia, Tecnología e Innovación of Venezuela
attribute NC_GLOBAL awards_12_funding_acronym String FONACIT
attribute NC_GLOBAL awards_12_funding_source_nid String 359
attribute NC_GLOBAL awards_13_award_nid String 55090
attribute NC_GLOBAL awards_13_award_number String unknown CARIACO NSF OCE
attribute NC_GLOBAL awards_13_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_13_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_13_funding_source_nid String 355
attribute NC_GLOBAL awards_14_award_nid String 769589
attribute NC_GLOBAL awards_14_award_number String OCE-0326313
attribute NC_GLOBAL awards_14_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0326313 (external link)
attribute NC_GLOBAL awards_14_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_14_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_14_funding_source_nid String 355
attribute NC_GLOBAL awards_14_program_manager String Donald L. Rice
attribute NC_GLOBAL awards_14_program_manager_nid String 51467
attribute NC_GLOBAL awards_15_award_nid String 769594
attribute NC_GLOBAL awards_15_award_number String NNX14AP62A
attribute NC_GLOBAL awards_15_data_url String https://federalreporter.nih.gov/Projects/Details/?projectId=674021 (external link)
attribute NC_GLOBAL awards_15_funder_name String National Aeronautics & Space Administration
attribute NC_GLOBAL awards_15_funding_acronym String NASA
attribute NC_GLOBAL awards_15_funding_source_nid String 353
attribute NC_GLOBAL awards_1_award_nid String 54693
attribute NC_GLOBAL awards_1_award_number String OCE-9401537
attribute NC_GLOBAL awards_1_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9401537 (external link)
attribute NC_GLOBAL awards_1_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_1_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_1_funding_source_nid String 355
attribute NC_GLOBAL awards_1_program_manager String Donald L. Rice
attribute NC_GLOBAL awards_1_program_manager_nid String 51467
attribute NC_GLOBAL awards_2_award_nid String 54756
attribute NC_GLOBAL awards_2_award_number String OCE-9729697
attribute NC_GLOBAL awards_2_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9729697 (external link)
attribute NC_GLOBAL awards_2_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_2_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_2_funding_source_nid String 355
attribute NC_GLOBAL awards_2_program_manager String Donald L. Rice
attribute NC_GLOBAL awards_2_program_manager_nid String 51467
attribute NC_GLOBAL awards_3_award_nid String 54791
attribute NC_GLOBAL awards_3_award_number String OCE-0326268
attribute NC_GLOBAL awards_3_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0326268 (external link)
attribute NC_GLOBAL awards_3_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_3_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_3_funding_source_nid String 355
attribute NC_GLOBAL awards_3_program_manager String Donald L. Rice
attribute NC_GLOBAL awards_3_program_manager_nid String 51467
attribute NC_GLOBAL awards_4_award_nid String 54802
attribute NC_GLOBAL awards_4_award_number String OCE-9216626
attribute NC_GLOBAL awards_4_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9216626 (external link)
attribute NC_GLOBAL awards_4_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_4_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_4_funding_source_nid String 355
attribute NC_GLOBAL awards_4_program_manager String Donald L. Rice
attribute NC_GLOBAL awards_4_program_manager_nid String 51467
attribute NC_GLOBAL awards_5_award_nid String 54828
attribute NC_GLOBAL awards_5_award_number String OCE-9711318
attribute NC_GLOBAL awards_5_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9711318 (external link)
attribute NC_GLOBAL awards_5_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_5_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_5_funding_source_nid String 355
attribute NC_GLOBAL awards_5_program_manager String Donald L. Rice
attribute NC_GLOBAL awards_5_program_manager_nid String 51467
attribute NC_GLOBAL awards_6_award_nid String 54833
attribute NC_GLOBAL awards_6_award_number String NAS5-97128
attribute NC_GLOBAL awards_6_funder_name String National Aeronautics & Space Administration
attribute NC_GLOBAL awards_6_funding_acronym String NASA
attribute NC_GLOBAL awards_6_funding_source_nid String 353
attribute NC_GLOBAL awards_7_award_nid String 54835
attribute NC_GLOBAL awards_7_award_number String OCE-9415790
attribute NC_GLOBAL awards_7_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9415790 (external link)
attribute NC_GLOBAL awards_7_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_7_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_7_funding_source_nid String 355
attribute NC_GLOBAL awards_7_program_manager String Donald L. Rice
attribute NC_GLOBAL awards_7_program_manager_nid String 51467
attribute NC_GLOBAL awards_8_award_nid String 54840
attribute NC_GLOBAL awards_8_award_number String OCE-9729284
attribute NC_GLOBAL awards_8_data_url String http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=9729284 (external link)
attribute NC_GLOBAL awards_8_funder_name String NSF Division of Ocean Sciences
attribute NC_GLOBAL awards_8_funding_acronym String NSF OCE
attribute NC_GLOBAL awards_8_funding_source_nid String 355
attribute NC_GLOBAL awards_8_program_manager String Donald L. Rice
attribute NC_GLOBAL awards_8_program_manager_nid String 51467
attribute NC_GLOBAL awards_9_award_nid String 54868
attribute NC_GLOBAL awards_9_award_number String NAG5-6448
attribute NC_GLOBAL awards_9_funder_name String National Aeronautics & Space Administration
attribute NC_GLOBAL awards_9_funding_acronym String NASA
attribute NC_GLOBAL awards_9_funding_source_nid String 353
attribute NC_GLOBAL cdm_data_type String Other
attribute NC_GLOBAL comment String Time-series Niskin-bottle sample data from R/V Hermano Gines cruises in the Cariaco Basin from 1995 through 2017 \n PI: Frank Muller-Karger  \n Version: 2019-06-06 \n  \n Quality flags:\t \n 0\tdata is correct \n 1\tdata is an outlier above/below 3 standard deviations of the long term mean for each depth \n v\tevidence of ventilation (0v or 1v) \n \tQuality control flags were not assesed for:  Total Prokaryotes and Bacteria Biomass \n \t \n Other signs:\t \n nd          sample was not taken, not measured \n BM_master   Samples collected on different date by Stony Brook University group, and  \n             reported in the master file of those cruises (Master: Biochemistry & Microbiology) \n \t \n Notes:\t \n The biological cast (Primary Production, Chlorophyll, and Feopigments) was different to \n the hydrographical variables, and the times of it are presented in the last columns\t \n Cast '0' at cruise 229 refers to manually lowered Niskins bottles.
attribute NC_GLOBAL Conventions String COARDS, CF-1.6, ACDD-1.3
attribute NC_GLOBAL creator_email String info at bco-dmo.org
attribute NC_GLOBAL creator_name String BCO-DMO
attribute NC_GLOBAL creator_type String institution
attribute NC_GLOBAL creator_url String https://www.bco-dmo.org/ (external link)
attribute NC_GLOBAL data_source String extract_data_as_tsv version 2.3  19 Dec 2019
attribute NC_GLOBAL date_created String 2010-08-19T17:07:41Z
attribute NC_GLOBAL date_modified String 2019-06-07T19:19:40Z
attribute NC_GLOBAL defaultDataQuery String &amp;time&lt;now
attribute NC_GLOBAL doi String 10.1575/1912/bco-dmo.3093.1
attribute NC_GLOBAL Easternmost_Easting double -64.367
attribute NC_GLOBAL geospatial_lat_max double 10.683
attribute NC_GLOBAL geospatial_lat_min double 10.492
attribute NC_GLOBAL geospatial_lat_units String degrees_north
attribute NC_GLOBAL geospatial_lon_max double -64.367
attribute NC_GLOBAL geospatial_lon_min double -64.735
attribute NC_GLOBAL geospatial_lon_units String degrees_east
attribute NC_GLOBAL geospatial_vertical_max double 1351.0
attribute NC_GLOBAL geospatial_vertical_min double 0.349
attribute NC_GLOBAL geospatial_vertical_positive String down
attribute NC_GLOBAL geospatial_vertical_units String m
attribute NC_GLOBAL infoUrl String https://www.bco-dmo.org/dataset/3093 (external link)
attribute NC_GLOBAL institution String BCO-DMO
attribute NC_GLOBAL instruments_0_acronym String Niskin bottle
attribute NC_GLOBAL instruments_0_dataset_instrument_nid String 4833
attribute NC_GLOBAL instruments_0_description String 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.
attribute NC_GLOBAL instruments_0_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0412/ (external link)
attribute NC_GLOBAL instruments_0_instrument_name String Niskin bottle
attribute NC_GLOBAL instruments_0_instrument_nid String 413
attribute NC_GLOBAL instruments_0_supplied_name String Niskin Bottle
attribute NC_GLOBAL instruments_10_acronym String LSC
attribute NC_GLOBAL instruments_10_dataset_instrument_description String These vials were refrigerated until they were ready for analysis on a BetaScout (PerkinElmer) scintillation counter.
attribute NC_GLOBAL instruments_10_dataset_instrument_nid String 769961
attribute NC_GLOBAL instruments_10_description String 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.
attribute NC_GLOBAL instruments_10_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB21/ (external link)
attribute NC_GLOBAL instruments_10_instrument_name String Liquid Scintillation Counter
attribute NC_GLOBAL instruments_10_instrument_nid String 624
attribute NC_GLOBAL instruments_10_supplied_name String BetaScout (PerkinElmer) scintillation counter
attribute NC_GLOBAL instruments_11_acronym String Technicon AutoAnalyzerII
attribute NC_GLOBAL instruments_11_dataset_instrument_description String Subsequent Cariaco analyses were performed on a Technicon Analyzer II
attribute NC_GLOBAL instruments_11_dataset_instrument_nid String 769954
attribute NC_GLOBAL instruments_11_description String 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.
attribute NC_GLOBAL instruments_11_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0291/ (external link)
attribute NC_GLOBAL instruments_11_instrument_name String Technicon AutoAnalyzerII
attribute NC_GLOBAL instruments_11_instrument_nid String 473306
attribute NC_GLOBAL instruments_11_supplied_name String Technicon Analyzer II
attribute NC_GLOBAL instruments_12_acronym String Alpkem RFA300
attribute NC_GLOBAL instruments_12_dataset_instrument_description String These samples were analyzed on an ALPKEM RFA II.
attribute NC_GLOBAL instruments_12_dataset_instrument_nid String 769953
attribute NC_GLOBAL instruments_12_description String 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).
attribute NC_GLOBAL instruments_12_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0414/ (external link)
attribute NC_GLOBAL instruments_12_instrument_name String Alpkem RFA300
attribute NC_GLOBAL instruments_12_instrument_nid String 473308
attribute NC_GLOBAL instruments_12_supplied_name String ALPKEM RFA II
attribute NC_GLOBAL instruments_13_dataset_instrument_description String 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
attribute NC_GLOBAL instruments_13_dataset_instrument_nid String 769964
attribute NC_GLOBAL instruments_13_description String 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.
attribute NC_GLOBAL instruments_13_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB01/ (external link)
attribute NC_GLOBAL instruments_13_instrument_name String Elemental Analyzer
attribute NC_GLOBAL instruments_13_instrument_nid String 546339
attribute NC_GLOBAL instruments_13_supplied_name String Perkin Elmer 2400 Elemental Analyzer.
attribute NC_GLOBAL instruments_1_acronym String CTD SBE 19
attribute NC_GLOBAL instruments_1_dataset_instrument_description String 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.
attribute NC_GLOBAL instruments_1_dataset_instrument_nid String 769951
attribute NC_GLOBAL instruments_1_description String 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
attribute NC_GLOBAL instruments_1_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0042/ (external link)
attribute NC_GLOBAL instruments_1_instrument_name String CTD Sea-Bird SEACAT 19
attribute NC_GLOBAL instruments_1_instrument_nid String 420
attribute NC_GLOBAL instruments_1_supplied_name String SBE-19
attribute NC_GLOBAL instruments_2_acronym String CTD SBE 25
attribute NC_GLOBAL instruments_2_dataset_instrument_description String Starting in September 1996, the SBE-19 CTDs were replaced by SBE-25 CTDs, which provided extremely accurate and reliable data in anoxic waters.
attribute NC_GLOBAL instruments_2_dataset_instrument_nid String 769952
attribute NC_GLOBAL instruments_2_description String 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.
attribute NC_GLOBAL instruments_2_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0040/ (external link)
attribute NC_GLOBAL instruments_2_instrument_name String CTD Sea-Bird 25
attribute NC_GLOBAL instruments_2_instrument_nid String 421
attribute NC_GLOBAL instruments_2_supplied_name String SBE-25
attribute NC_GLOBAL instruments_3_acronym String Turner Fluorometer -10AU
attribute NC_GLOBAL instruments_3_dataset_instrument_description String 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).
attribute NC_GLOBAL instruments_3_dataset_instrument_nid String 769962
attribute NC_GLOBAL instruments_3_description String 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)
attribute NC_GLOBAL instruments_3_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0393/ (external link)
attribute NC_GLOBAL instruments_3_instrument_name String Turner Designs Fluorometer -10-AU
attribute NC_GLOBAL instruments_3_instrument_nid String 464
attribute NC_GLOBAL instruments_3_supplied_name String Turner fluorometer model 10-AU-005
attribute NC_GLOBAL instruments_4_acronym String Sea Tech Transmissometer
attribute NC_GLOBAL instruments_4_dataset_instrument_description String Beam attenuation measurements were added to the time series on its 11th cruise (November 1986) originally using a SeaTech transmissometer.
attribute NC_GLOBAL instruments_4_dataset_instrument_nid String 769950
attribute NC_GLOBAL instruments_4_description String 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).
attribute NC_GLOBAL instruments_4_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0003/ (external link)
attribute NC_GLOBAL instruments_4_instrument_name String Sea Tech Transmissometer
attribute NC_GLOBAL instruments_4_instrument_nid String 476
attribute NC_GLOBAL instruments_4_supplied_name String SeaTech transmissometer
attribute NC_GLOBAL instruments_5_acronym String LI-COR Biospherical PAR
attribute NC_GLOBAL instruments_5_dataset_instrument_description String As the productivity cast was taken, a Licor Photosynthetically-Active Radiation (PAR) integrator, placed high above the ship's bridge, was activated.
attribute NC_GLOBAL instruments_5_dataset_instrument_nid String 769960
attribute NC_GLOBAL instruments_5_description String 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.
attribute NC_GLOBAL instruments_5_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0074/ (external link)
attribute NC_GLOBAL instruments_5_instrument_name String LI-COR Biospherical PAR Sensor
attribute NC_GLOBAL instruments_5_instrument_nid String 480
attribute NC_GLOBAL instruments_5_supplied_name String Licor Photosynthetically-Active Radiation (PAR) integrator
attribute NC_GLOBAL instruments_6_acronym String HPLC
attribute NC_GLOBAL instruments_6_dataset_instrument_description String 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).
attribute NC_GLOBAL instruments_6_dataset_instrument_nid String 769963
attribute NC_GLOBAL instruments_6_description String 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.
attribute NC_GLOBAL instruments_6_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L05/current/LAB11/ (external link)
attribute NC_GLOBAL instruments_6_instrument_name String High Performance Liquid Chromatograph
attribute NC_GLOBAL instruments_6_instrument_nid String 506
attribute NC_GLOBAL instruments_6_supplied_name String HPLC
attribute NC_GLOBAL instruments_7_acronym String SBE-43 DO
attribute NC_GLOBAL instruments_7_dataset_instrument_description String The CTD also had a SBE-43 oxygen probe
attribute NC_GLOBAL instruments_7_dataset_instrument_nid String 769947
attribute NC_GLOBAL instruments_7_description String 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
attribute NC_GLOBAL instruments_7_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0036/ (external link)
attribute NC_GLOBAL instruments_7_instrument_name String Sea-Bird SBE 43 Dissolved Oxygen Sensor
attribute NC_GLOBAL instruments_7_instrument_nid String 552
attribute NC_GLOBAL instruments_7_supplied_name String SBE-43 oxygen probe
attribute NC_GLOBAL instruments_8_acronym String WL CSTAR Trans
attribute NC_GLOBAL instruments_8_dataset_instrument_description String a C-Star transmissometer (660 nm, Wetlabs)
attribute NC_GLOBAL instruments_8_dataset_instrument_nid String 769949
attribute NC_GLOBAL instruments_8_description String 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
attribute NC_GLOBAL instruments_8_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0160/ (external link)
attribute NC_GLOBAL instruments_8_instrument_name String Wet Labs CSTAR Transmissometer
attribute NC_GLOBAL instruments_8_instrument_nid String 593
attribute NC_GLOBAL instruments_8_supplied_name String C-Star transmissometer
attribute NC_GLOBAL instruments_9_acronym String WETLabs ECO-FLNTU
attribute NC_GLOBAL instruments_9_dataset_instrument_description String a Wetlabs ECO fluorometer outfitted for chlorophyll-a estimates
attribute NC_GLOBAL instruments_9_dataset_instrument_nid String 769948
attribute NC_GLOBAL instruments_9_description String The ECO FLNTU is a dual-wavelength, single-angle sensor for simultaneously determining both chlorophyll fluorescence and turbidity.
attribute NC_GLOBAL instruments_9_instrument_external_identifier String https://vocab.nerc.ac.uk/collection/L22/current/TOOL0215/ (external link)
attribute NC_GLOBAL instruments_9_instrument_name String WETLabs ECO-FLNTU
attribute NC_GLOBAL instruments_9_instrument_nid String 601
attribute NC_GLOBAL instruments_9_supplied_name String Wetlabs ECO fluorometer
attribute NC_GLOBAL keywords String 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
attribute NC_GLOBAL keywords_vocabulary String GCMD Science Keywords
attribute NC_GLOBAL license String https://www.bco-dmo.org/dataset/3093/license (external link)
attribute NC_GLOBAL metadata_source String https://www.bco-dmo.org/api/dataset/3093 (external link)
attribute NC_GLOBAL Northernmost_Northing double 10.683
attribute NC_GLOBAL param_mapping String {'3093': {'Depth_real': 'flag - depth', 'Latitude': 'flag - latitude', 'ISO_DateTime_start_hc_UTC': 'flag - time', 'Longitude': 'flag - longitude'}}
attribute NC_GLOBAL parameter_source String https://www.bco-dmo.org/mapserver/dataset/3093/parameters (external link)
attribute NC_GLOBAL people_0_affiliation String University of South Florida
attribute NC_GLOBAL people_0_affiliation_acronym String USF
attribute NC_GLOBAL people_0_person_name String Dr Frank Muller-Karger
attribute NC_GLOBAL people_0_person_nid String 50809
attribute NC_GLOBAL people_0_role String Lead Principal Investigator
attribute NC_GLOBAL people_0_role_type String originator
attribute NC_GLOBAL people_10_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_10_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_10_person_name String Juan Capelo
attribute NC_GLOBAL people_10_person_nid String 769554
attribute NC_GLOBAL people_10_role String Scientist
attribute NC_GLOBAL people_10_role_type String originator
attribute NC_GLOBAL people_11_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_11_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_11_person_name String Javier Gutierrez
attribute NC_GLOBAL people_11_person_nid String 51069
attribute NC_GLOBAL people_11_role String Scientist
attribute NC_GLOBAL people_11_role_type String originator
attribute NC_GLOBAL people_12_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_12_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_12_person_name String Laurencia Guzman
attribute NC_GLOBAL people_12_person_nid String 769552
attribute NC_GLOBAL people_12_role String Scientist
attribute NC_GLOBAL people_12_role_type String originator
attribute NC_GLOBAL people_13_affiliation String University of South Florida
attribute NC_GLOBAL people_13_affiliation_acronym String USF
attribute NC_GLOBAL people_13_person_name String Laura Lorenzoni
attribute NC_GLOBAL people_13_person_nid String 51044
attribute NC_GLOBAL people_13_role String Scientist
attribute NC_GLOBAL people_13_role_type String originator
attribute NC_GLOBAL people_14_affiliation String University of South Florida
attribute NC_GLOBAL people_14_affiliation_acronym String USF
attribute NC_GLOBAL people_14_person_name String Enrique Montes
attribute NC_GLOBAL people_14_person_nid String 769548
attribute NC_GLOBAL people_14_role String Scientist
attribute NC_GLOBAL people_14_role_type String originator
attribute NC_GLOBAL people_15_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_15_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_15_person_name String Jaimie Rojas
attribute NC_GLOBAL people_15_person_nid String 559369
attribute NC_GLOBAL people_15_role String Scientist
attribute NC_GLOBAL people_15_role_type String originator
attribute NC_GLOBAL people_16_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_16_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_16_person_name String Anadiuska Rondon
attribute NC_GLOBAL people_16_person_nid String 770099
attribute NC_GLOBAL people_16_role String Scientist
attribute NC_GLOBAL people_16_role_type String originator
attribute NC_GLOBAL people_17_affiliation String University of South Florida
attribute NC_GLOBAL people_17_affiliation_acronym String USF
attribute NC_GLOBAL people_17_person_name String Digna Rueda-Roa
attribute NC_GLOBAL people_17_person_nid String 647919
attribute NC_GLOBAL people_17_role String Scientist
attribute NC_GLOBAL people_17_role_type String originator
attribute NC_GLOBAL people_18_affiliation String University of South Carolina
attribute NC_GLOBAL people_18_person_name String Eric Tappa
attribute NC_GLOBAL people_18_person_nid String 769556
attribute NC_GLOBAL people_18_role String Scientist
attribute NC_GLOBAL people_18_role_type String originator
attribute NC_GLOBAL people_19_affiliation String University of South Florida
attribute NC_GLOBAL people_19_affiliation_acronym String USF
attribute NC_GLOBAL people_19_person_name String Laura Lorenzoni
attribute NC_GLOBAL people_19_person_nid String 51044
attribute NC_GLOBAL people_19_role String Student
attribute NC_GLOBAL people_19_role_type String related
attribute NC_GLOBAL people_1_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_1_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_1_person_name String Yrene Astor
attribute NC_GLOBAL people_1_person_nid String 51110
attribute NC_GLOBAL people_1_role String Principal Investigator
attribute NC_GLOBAL people_1_role_type String originator
attribute NC_GLOBAL people_20_affiliation String University of South Florida
attribute NC_GLOBAL people_20_affiliation_acronym String USF
attribute NC_GLOBAL people_20_person_name String Enrique Montes
attribute NC_GLOBAL people_20_person_nid String 769548
attribute NC_GLOBAL people_20_role String Student
attribute NC_GLOBAL people_20_role_type String related
attribute NC_GLOBAL people_21_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_21_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_21_person_name String Jaimie Rojas
attribute NC_GLOBAL people_21_person_nid String 559369
attribute NC_GLOBAL people_21_role String Student
attribute NC_GLOBAL people_21_role_type String related
attribute NC_GLOBAL people_22_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_22_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_22_person_name String Anadiuska Rondon
attribute NC_GLOBAL people_22_person_nid String 770099
attribute NC_GLOBAL people_22_role String Student
attribute NC_GLOBAL people_22_role_type String related
attribute NC_GLOBAL people_23_affiliation String University of South Florida
attribute NC_GLOBAL people_23_affiliation_acronym String USF
attribute NC_GLOBAL people_23_person_name String Digna Rueda-Roa
attribute NC_GLOBAL people_23_person_nid String 647919
attribute NC_GLOBAL people_23_role String Student
attribute NC_GLOBAL people_23_role_type String related
attribute NC_GLOBAL people_24_affiliation String University of South Florida
attribute NC_GLOBAL people_24_affiliation_acronym String USF
attribute NC_GLOBAL people_24_person_name String Laura Lorenzoni
attribute NC_GLOBAL people_24_person_nid String 51044
attribute NC_GLOBAL people_24_role String Contact
attribute NC_GLOBAL people_24_role_type String related
attribute NC_GLOBAL people_25_affiliation String University of South Florida
attribute NC_GLOBAL people_25_affiliation_acronym String USF
attribute NC_GLOBAL people_25_person_name String Digna Rueda-Roa
attribute NC_GLOBAL people_25_person_nid String 647919
attribute NC_GLOBAL people_25_role String Contact
attribute NC_GLOBAL people_25_role_type String related
attribute NC_GLOBAL people_26_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_26_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_26_person_name String Glenda Arias
attribute NC_GLOBAL people_26_person_nid String 770095
attribute NC_GLOBAL people_26_role String Technician
attribute NC_GLOBAL people_26_role_type String related
attribute NC_GLOBAL people_27_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_27_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_27_person_name String Jonnathan Garcia
attribute NC_GLOBAL people_27_person_nid String 770093
attribute NC_GLOBAL people_27_role String Technician
attribute NC_GLOBAL people_27_role_type String related
attribute NC_GLOBAL people_28_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_28_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_28_person_name String Javier Gutierrez
attribute NC_GLOBAL people_28_person_nid String 51069
attribute NC_GLOBAL people_28_role String Technician
attribute NC_GLOBAL people_28_role_type String related
attribute NC_GLOBAL people_29_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_29_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_29_person_name String Laurencia Guzman
attribute NC_GLOBAL people_29_person_nid String 769552
attribute NC_GLOBAL people_29_role String Technician
attribute NC_GLOBAL people_29_role_type String related
attribute NC_GLOBAL people_2_affiliation String University of South Florida
attribute NC_GLOBAL people_2_affiliation_acronym String USF
attribute NC_GLOBAL people_2_person_name String Dr Frank Muller-Karger
attribute NC_GLOBAL people_2_person_nid String 50809
attribute NC_GLOBAL people_2_role String Principal Investigator
attribute NC_GLOBAL people_2_role_type String originator
attribute NC_GLOBAL people_30_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_30_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_30_person_name String Jesus Narvaez
attribute NC_GLOBAL people_30_person_nid String 769558
attribute NC_GLOBAL people_30_role String Technician
attribute NC_GLOBAL people_30_role_type String related
attribute NC_GLOBAL people_31_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_31_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_31_person_name String Patricia Ojeda
attribute NC_GLOBAL people_31_person_nid String 770091
attribute NC_GLOBAL people_31_role String Technician
attribute NC_GLOBAL people_31_role_type String related
attribute NC_GLOBAL people_32_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_32_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_32_person_name String Jaimie Rojas
attribute NC_GLOBAL people_32_person_nid String 559369
attribute NC_GLOBAL people_32_role String Technician
attribute NC_GLOBAL people_32_role_type String related
attribute NC_GLOBAL people_33_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_33_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_33_person_name String Anadiuska Rondon
attribute NC_GLOBAL people_33_person_nid String 770099
attribute NC_GLOBAL people_33_role String Technician
attribute NC_GLOBAL people_33_role_type String related
attribute NC_GLOBAL people_34_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_34_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_34_person_name String Alberto Rosales
attribute NC_GLOBAL people_34_person_nid String 769560
attribute NC_GLOBAL people_34_role String Technician
attribute NC_GLOBAL people_34_role_type String related
attribute NC_GLOBAL people_35_affiliation String University of South Carolina
attribute NC_GLOBAL people_35_person_name String Eric Tappa
attribute NC_GLOBAL people_35_person_nid String 769556
attribute NC_GLOBAL people_35_role String Technician
attribute NC_GLOBAL people_35_role_type String related
attribute NC_GLOBAL people_36_affiliation String University of South Florida
attribute NC_GLOBAL people_36_affiliation_acronym String USF
attribute NC_GLOBAL people_36_person_name String Laura Lorenzoni
attribute NC_GLOBAL people_36_person_nid String 51044
attribute NC_GLOBAL people_36_role String Data Manager
attribute NC_GLOBAL people_36_role_type String related
attribute NC_GLOBAL people_37_affiliation String University of South Florida
attribute NC_GLOBAL people_37_affiliation_acronym String USF
attribute NC_GLOBAL people_37_person_name String Digna Rueda-Roa
attribute NC_GLOBAL people_37_person_nid String 647919
attribute NC_GLOBAL people_37_role String Data Manager
attribute NC_GLOBAL people_37_role_type String related
attribute NC_GLOBAL people_38_affiliation String Woods Hole Oceanographic Institution
attribute NC_GLOBAL people_38_affiliation_acronym String WHOI BCO-DMO
attribute NC_GLOBAL people_38_person_name String Mathew Biddle
attribute NC_GLOBAL people_38_person_nid String 708682
attribute NC_GLOBAL people_38_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_38_role_type String related
attribute NC_GLOBAL people_39_affiliation String University of South Florida
attribute NC_GLOBAL people_39_affiliation_acronym String USF
attribute NC_GLOBAL people_39_person_name String Theresa McKee
attribute NC_GLOBAL people_39_person_nid String 51103
attribute NC_GLOBAL people_39_role String BCO-DMO Data Manager
attribute NC_GLOBAL people_39_role_type String related
attribute NC_GLOBAL people_3_affiliation String Stony Brook University - MSRC
attribute NC_GLOBAL people_3_affiliation_acronym String SUNY-SB MSRC
attribute NC_GLOBAL people_3_person_name String Dr Mary  I. Scranton
attribute NC_GLOBAL people_3_person_nid String 51057
attribute NC_GLOBAL people_3_role String Principal Investigator
attribute NC_GLOBAL people_3_role_type String originator
attribute NC_GLOBAL people_4_affiliation String Stony Brook University - MSRC
attribute NC_GLOBAL people_4_affiliation_acronym String SUNY-SB MSRC
attribute NC_GLOBAL people_4_person_name String Gordon T. Taylor
attribute NC_GLOBAL people_4_person_nid String 51058
attribute NC_GLOBAL people_4_role String Principal Investigator
attribute NC_GLOBAL people_4_role_type String originator
attribute NC_GLOBAL people_5_affiliation String University of South Carolina
attribute NC_GLOBAL people_5_person_name String Dr Robert  C. Thunell
attribute NC_GLOBAL people_5_person_nid String 51043
attribute NC_GLOBAL people_5_role String Principal Investigator
attribute NC_GLOBAL people_5_role_type String originator
attribute NC_GLOBAL people_6_affiliation String Estacion de Investigaciones Marinas de Margarita
attribute NC_GLOBAL people_6_affiliation_acronym String EDIMAR-FLASA
attribute NC_GLOBAL people_6_person_name String Ramon Varela
attribute NC_GLOBAL people_6_person_nid String 51111
attribute NC_GLOBAL people_6_role String Principal Investigator
attribute NC_GLOBAL people_6_role_type String originator
attribute NC_GLOBAL people_7_affiliation String University of South Carolina
attribute NC_GLOBAL people_7_person_name String Claudia R. Benitez-Nelson
attribute NC_GLOBAL people_7_person_nid String 51092
attribute NC_GLOBAL people_7_role String Co-Principal Investigator
attribute NC_GLOBAL people_7_role_type String originator
attribute NC_GLOBAL people_8_affiliation String University of South Florida
attribute NC_GLOBAL people_8_affiliation_acronym String USF
attribute NC_GLOBAL people_8_person_name String Kristen N. Buck
attribute NC_GLOBAL people_8_person_nid String 51624
attribute NC_GLOBAL people_8_role String Co-Principal Investigator
attribute NC_GLOBAL people_8_role_type String originator
attribute NC_GLOBAL people_9_affiliation String University of South Florida
attribute NC_GLOBAL people_9_affiliation_acronym String USF
attribute NC_GLOBAL people_9_person_name String Kent Fanning
attribute NC_GLOBAL people_9_person_nid String 50507
attribute NC_GLOBAL people_9_role String Co-Principal Investigator
attribute NC_GLOBAL people_9_role_type String originator
attribute NC_GLOBAL project String CARIACO
attribute NC_GLOBAL projects_0_acronym String CARIACO
attribute NC_GLOBAL projects_0_description String 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).\nThis 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).\nThe 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 ).\nNow, 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.\nAcknowledgements: 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.
attribute NC_GLOBAL projects_0_geolocation String CARIACO basin
attribute NC_GLOBAL projects_0_name String CARIACO Ocean Time-Series Program
attribute NC_GLOBAL projects_0_project_nid String 2047
attribute NC_GLOBAL projects_0_project_website String http://www.imars.usf.edu/CAR/index.html (external link)
attribute NC_GLOBAL projects_0_start_date String 1995-11
attribute NC_GLOBAL publisher_name String Biological and Chemical Oceanographic Data Management Office (BCO-DMO)
attribute NC_GLOBAL publisher_type String institution
attribute NC_GLOBAL sourceUrl String (local files)
attribute NC_GLOBAL Southernmost_Northing double 10.492
attribute NC_GLOBAL standard_name_vocabulary String CF Standard Name Table v55
attribute NC_GLOBAL summary String 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.
attribute NC_GLOBAL time_coverage_start String 1995-11-08T10:12:00Z
attribute NC_GLOBAL title String 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)
attribute NC_GLOBAL version String 1
attribute NC_GLOBAL Westernmost_Easting double -64.735
attribute NC_GLOBAL xml_source String osprey2erddap.update_xml() v1.3
variable Cruise_number short
attribute Cruise_number _FillValue short 32767
attribute Cruise_number actual_range short 1, 232
attribute Cruise_number bcodmo_name String unknown
attribute Cruise_number colorBarMaximum double 100.0
attribute Cruise_number colorBarMinimum double 0.0
attribute Cruise_number description String number of cruise
attribute Cruise_number long_name String Cruise Number
attribute Cruise_number units String integer (nnn)
variable Cruise_ID_1 String
attribute Cruise_ID_1 bcodmo_name String unknown
attribute Cruise_ID_1 description String cruise ID for OCB
attribute Cruise_ID_1 long_name String Cruise ID 1
attribute Cruise_ID_1 units String alphanumeric
variable Cruise_ID_2 String
attribute Cruise_ID_2 bcodmo_name String unknown
attribute Cruise_ID_2 description String cruise ID for the CARIACO project
attribute Cruise_ID_2 long_name String Cruise ID 2
attribute Cruise_ID_2 units String alphanumeric
variable Leg byte
attribute Leg _FillValue byte 127
attribute Leg actual_range byte 1, 4
attribute Leg bcodmo_name String leg
attribute Leg description String number of cruise in the same month
attribute Leg long_name String Leg
attribute Leg units String integer (n)
variable Day byte
attribute Day _FillValue byte 127
attribute Day actual_range byte 1, 29
attribute Day bcodmo_name String day
attribute Day description String day of sampling in dd format
attribute Day long_name String Day
attribute Day nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/DAYXXXXX/ (external link)
attribute Day units String unitless
variable Month byte
attribute Month _FillValue byte 127
attribute Month actual_range byte 1, 12
attribute Month bcodmo_name String month
attribute Month description String month of sampling in mm format
attribute Month long_name String Month
attribute Month nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/MNTHXXXX/ (external link)
attribute Month units String unitless
variable Year short
attribute Year _FillValue short 32767
attribute Year actual_range short 1995, 2017
attribute Year bcodmo_name String year
attribute Year description String year of sampling in yyyy format
attribute Year long_name String Year
attribute Year nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/ (external link)
attribute Year units String unitless
variable latitude double
attribute latitude _CoordinateAxisType String Lat
attribute latitude _FillValue double NaN
attribute latitude actual_range double 10.492, 10.683
attribute latitude axis String Y
attribute latitude bcodmo_name String latitude
attribute latitude colorBarMaximum double 90.0
attribute latitude colorBarMinimum double -90.0
attribute latitude description String Latitude of observations with positive values indicating North
attribute latitude ioos_category String Location
attribute latitude long_name String Latitude
attribute latitude nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LATX/ (external link)
attribute latitude standard_name String latitude
attribute latitude units String degrees_north
variable longitude double
attribute longitude _CoordinateAxisType String Lon
attribute longitude _FillValue double NaN
attribute longitude actual_range double -64.735, -64.367
attribute longitude axis String X
attribute longitude bcodmo_name String longitude
attribute longitude colorBarMaximum double 180.0
attribute longitude colorBarMinimum double -180.0
attribute longitude description String Longitude of observations with negative values indicating West
attribute longitude ioos_category String Location
attribute longitude long_name String Longitude
attribute longitude nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/LONX/ (external link)
attribute longitude standard_name String longitude
attribute longitude units String degrees_east
variable Hydro_cast_no byte
attribute Hydro_cast_no _FillValue byte 127
attribute Hydro_cast_no actual_range byte 0, 5
attribute Hydro_cast_no bcodmo_name String cast
attribute Hydro_cast_no description String hydrographic CTD cast number
attribute Hydro_cast_no long_name String Hydro Cast No
attribute Hydro_cast_no units String integer (n)
variable Depth_target short
attribute Depth_target _FillValue short 32767
attribute Depth_target actual_range short 1, 1320
attribute Depth_target bcodmo_name String depth_n
attribute Depth_target colorBarMaximum double 8000.0
attribute Depth_target colorBarMinimum double -8000.0
attribute Depth_target colorBarPalette String TopographyDepth
attribute Depth_target description String depth target (nominal)
attribute Depth_target long_name String Depth
attribute Depth_target standard_name String depth
attribute Depth_target units String meters (m)
variable depth double
attribute depth _CoordinateAxisType String Height
attribute depth _CoordinateZisPositive String down
attribute depth _FillValue double NaN
attribute depth actual_range double 0.349, 1351.0
attribute depth axis String Z
attribute depth bcodmo_name String depth
attribute depth colorBarMaximum double 8000.0
attribute depth colorBarMinimum double -8000.0
attribute depth colorBarPalette String TopographyDepth
attribute depth description String depth of sample
attribute depth ioos_category String Location
attribute depth long_name String Depth
attribute depth nerc_identifier String https://vocab.nerc.ac.uk/collection/P09/current/DEPH/ (external link)
attribute depth positive String down
attribute depth standard_name String depth
attribute depth units String m
variable O2_ml_L float
attribute O2_ml_L _FillValue float NaN
attribute O2_ml_L actual_range float -0.00215409, 6.19122
attribute O2_ml_L bcodmo_name String O2_ml_L
attribute O2_ml_L description String dissolved oxygen (average in ml/L)
attribute O2_ml_L long_name String O2 Ml L
attribute O2_ml_L units String milliliters/liter (ml/L)
variable q_O2_ml_L String
attribute q_O2_ml_L bcodmo_name String q_flag
attribute q_O2_ml_L description String quality flag for O2_(ml/L)
attribute q_O2_ml_L long_name String Q O2 Ml L
attribute q_O2_ml_L units String dimensionless
variable O2_umol_kg float
attribute O2_umol_kg _FillValue float NaN
attribute O2_umol_kg actual_range float 0.0, 269.659
attribute O2_umol_kg bcodmo_name String O2_umol_kg
attribute O2_umol_kg description String dissolved oxygen (average in μmol/kg)
attribute O2_umol_kg long_name String O2 Umol Kg
attribute O2_umol_kg units String micromoles/kilogram (μmol/kg)
variable q_O2_umol_kg String
attribute q_O2_umol_kg bcodmo_name String q_flag
attribute q_O2_umol_kg description String quality flag for O2_(μmol/kg)
attribute q_O2_umol_kg long_name String Q O2 Umol Kg
attribute q_O2_umol_kg units String dimensionless
variable NO3_UDO float
attribute NO3_UDO _FillValue float NaN
attribute NO3_UDO actual_range float -0.09, 27.4795
attribute NO3_UDO bcodmo_name String NO3
attribute NO3_UDO colorBarMaximum double 50.0
attribute NO3_UDO colorBarMinimum double 0.0
attribute NO3_UDO description String nitrate UDO (average)
attribute NO3_UDO long_name String Mole Concentration Of Nitrate In Sea Water
attribute NO3_UDO nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/NTRAIGGS/ (external link)
attribute NO3_UDO units String micromolar (μM)
variable q_NO3_UDO String
attribute q_NO3_UDO bcodmo_name String q_flag
attribute q_NO3_UDO description String quality flag for nitrate UDO
attribute q_NO3_UDO long_name String Q NO3 UDO
attribute q_NO3_UDO units String dimensionless
variable PO4_UDO float
attribute PO4_UDO _FillValue float NaN
attribute PO4_UDO actual_range float 0.0, 27.54
attribute PO4_UDO bcodmo_name String PO4
attribute PO4_UDO description String phosphate UDO (average)
attribute PO4_UDO long_name String Mass Concentration Of Phosphate In Sea Water
attribute PO4_UDO units String micromolar (μM)
variable q_PO4_UDO String
attribute q_PO4_UDO bcodmo_name String q_flag
attribute q_PO4_UDO description String quality flag for phosphate UDO
attribute q_PO4_UDO long_name String Q PO4 UDO
attribute q_PO4_UDO units String dimensionless
variable SiO4_UDO float
attribute SiO4_UDO _FillValue float NaN
attribute SiO4_UDO actual_range float 0.11, 159.728
attribute SiO4_UDO bcodmo_name String SiO4
attribute SiO4_UDO description String silica UDO
attribute SiO4_UDO long_name String Si O4 UDO
attribute SiO4_UDO nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/SLCAAAZX/ (external link)
attribute SiO4_UDO units String micromolar (μM)
variable q_SiO4_UDO byte
attribute q_SiO4_UDO _FillValue byte 127
attribute q_SiO4_UDO actual_range byte 0, 1
attribute q_SiO4_UDO bcodmo_name String q_flag
attribute q_SiO4_UDO description String quality flag for silica UDO
attribute q_SiO4_UDO long_name String Q Si O4 UDO
attribute q_SiO4_UDO units String dimensionless
variable NH4_USF float
attribute NH4_USF _FillValue float NaN
attribute NH4_USF actual_range float -0.00478627, 35.9836
attribute NH4_USF bcodmo_name String Ammonium
attribute NH4_USF colorBarMaximum double 5.0
attribute NH4_USF colorBarMinimum double 0.0
attribute NH4_USF description String ammonia USF
attribute NH4_USF long_name String Mole Concentration Of Ammonium In Sea Water
attribute NH4_USF nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/ (external link)
attribute NH4_USF units String micromolar (μM)
variable q_NH4_USF String
attribute q_NH4_USF bcodmo_name String q_flag
attribute q_NH4_USF description String quality flag for ammonia USF
attribute q_NH4_USF long_name String Q NH4 USF
attribute q_NH4_USF units String dimensionless
variable NO2_USF float
attribute NO2_USF _FillValue float NaN
attribute NO2_USF actual_range float -0.00496693, 2.3689
attribute NO2_USF bcodmo_name String NO2
attribute NO2_USF colorBarMaximum double 1.0
attribute NO2_USF colorBarMinimum double 0.0
attribute NO2_USF description String nitrite USF
attribute NO2_USF long_name String Mole Concentration Of Nitrite In Sea Water
attribute NO2_USF nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/NTRIAAZX/ (external link)
attribute NO2_USF units String micromolar (μM)
variable q_NO2_USF String
attribute q_NO2_USF bcodmo_name String q_flag
attribute q_NO2_USF description String quality flag for nitrite USF
attribute q_NO2_USF long_name String Q NO2 USF
attribute q_NO2_USF units String dimensionless
variable NO3_NO2_USF float
attribute NO3_NO2_USF _FillValue float NaN
attribute NO3_NO2_USF actual_range float -0.00495164, 40.2927
attribute NO3_NO2_USF bcodmo_name String NO3_NO2
attribute NO3_NO2_USF colorBarMaximum double 50.0
attribute NO3_NO2_USF colorBarMinimum double 0.0
attribute NO3_NO2_USF description String nitrate plus nitrite USF
attribute NO3_NO2_USF long_name String Mole Concentration Of Nitrate In Sea Water
attribute NO3_NO2_USF units String micromolar (μM)
variable q_NO3_NO3_USF String
attribute q_NO3_NO3_USF bcodmo_name String q_flag
attribute q_NO3_NO3_USF description String quality flag for nitrate plus nitrite USF
attribute q_NO3_NO3_USF long_name String Q NO3 NO3 USF
attribute q_NO3_NO3_USF units String dimensionless
variable PO4_USF float
attribute PO4_USF _FillValue float NaN
attribute PO4_USF actual_range float 0.0, 5.5234
attribute PO4_USF bcodmo_name String PO4
attribute PO4_USF description String phosphate USF
attribute PO4_USF long_name String Mass Concentration Of Phosphate In Sea Water
attribute PO4_USF units String micromolar (μM)
variable q_PO4_USF String
attribute q_PO4_USF bcodmo_name String q_flag
attribute q_PO4_USF description String quality flag for phosphate USF
attribute q_PO4_USF long_name String Q PO4 USF
attribute q_PO4_USF units String dimensionless
variable SiO4_USF float
attribute SiO4_USF _FillValue float NaN
attribute SiO4_USF actual_range float -0.00401398, 102.474
attribute SiO4_USF bcodmo_name String SiO4
attribute SiO4_USF description String silica USF
attribute SiO4_USF long_name String Si O4 USF
attribute SiO4_USF nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/SLCAAAZX/ (external link)
attribute SiO4_USF units String micromolar (μM)
variable q_SiO4_USF String
attribute q_SiO4_USF bcodmo_name String q_flag
attribute q_SiO4_USF description String quality flag for silica USF
attribute q_SiO4_USF long_name String Q Si O4 USF
attribute q_SiO4_USF units String dimensionless
variable pH float
attribute pH _FillValue float NaN
attribute pH actual_range float 7.13674, 8.29203
attribute pH bcodmo_name String pH_sw
attribute pH colorBarMaximum double 9.0
attribute pH colorBarMinimum double 7.0
attribute pH description String pH average total hydrogen (at 25 deg. C) no corrected for dye impurities
attribute pH long_name String Sea Water Ph Reported On Total Scale
attribute pH nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/PHXXPRO1/ (external link)
attribute pH units String ion scale (pH)
variable q_pH String
attribute q_pH bcodmo_name String q_flag
attribute q_pH description String quality flag for pH
attribute q_pH long_name String Q P H
attribute q_pH units String dimensionless
variable Alkalinity_mol_kg float
attribute Alkalinity_mol_kg _FillValue float NaN
attribute Alkalinity_mol_kg actual_range float 0.00114246, 0.00337162
attribute Alkalinity_mol_kg bcodmo_name String TALK
attribute Alkalinity_mol_kg description String total alkalinity
attribute Alkalinity_mol_kg long_name String Alkalinity Mol Kg
attribute Alkalinity_mol_kg nerc_identifier String https://vocab.nerc.ac.uk/collection/P01/current/MDMAP014/ (external link)
attribute Alkalinity_mol_kg units String moles/kilogram (mol/kg)
variable q_Alkalinity_mol_kg byte
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