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| attribute | NC_GLOBAL | access_formats | String | .htmlTable,.csv,.json,.mat,.nc,.tsv,.esriCsv,.geoJson |
| attribute | NC_GLOBAL | acquisition_description | String | Bi-weekly water sampling and in situ measurements were performed at fixed\nsampling stations.\\u00a0 Water samples and in situ measurements were collected\nat the surface (approximately 0.2 meters) and at the bottom of the water\ncolumn (approximately 0.5 meters from the sediment layer).\\u00a0 These data\nare included in the worksheet titled \\\"NRE Dataset.\\\"\\u00a0 In situ\nmeasurements were also performed throughout the water column in 0.5 meter\ndepth increments.\\u00a0 These data are included in the worksheet titled \\\"NRE\nYSI Profiles.\\\"\\u00a0 Parameters measured include: temperature, salinity,\nspecific conductivity, dissolved oxygen (DO), pH, chlorophyll fluorescence,\nphotosynthetically active radiation (PAR), turbidity, barometric pressure,\nsecchi depth, colored dissolved organic matter (CDOM), particulate organic\ncarbon (POC) and nitrogen (PN), dissolved organic and inorganic carbon,\ndissolved inorganic nutrient concentrations (nitrate/nitrite, ammonium, total\ndissolved nitrogen, phosphate and silicic acid), chlorophyll a, primary\nproductivity and diagnostic phytoplankton pigment concentrations (chlorophylls\nand carotenoids).\\u00a0 Calculated parameters include:\\u00a0 diffuse light\nattenuation coefficient (Kd), carbon to nitrogen molar ratio (C:N), dissolved\ninorganic nitrogen (DIN; nitrate/nitrite plus ammonium), dissolved organic\nnitrogen (DON; total dissolved nitrogen minus dissolved inroganic nitrogen)\nand the nitrogen to phosporus molar ratio (N:P).\\u00a0\\u00a0\n \nMethods \n Water sampling was conducted bi-weekly. When collection was split over two\ndays, a single date was used based on the upstream or majority stations.\n \nStations were selected to cover the entire length of the Neuse River Estuary\nfrom Streets Ferry Bridge (Station 0) to the mouth of the estuary where it\nflows into Pamlico Sound.\\u00a0 When possible, efforts were made to select\nlocations with key stationary features (channel markers, buoys and land\nmarkers) to allow easy station identification in the field.\n \nSurface water samples were collected by submerging 10 liter high-density\npolyethylene containers just below the water surface or by filling the\ncontainers with surface water collected from bucket casts.\\u00a0 Bottom water\nsamples were collected with a horizontal plastic Van Dorn sampler. Starting\nDecember 2007, all samples collected with diaphragm pump and a weighted,\nmarked hose. All containers were kept in dark coolers at ambient temperature\nduring transport to the laboratory.\\u00a0 All filtration was done within a few\nhours of collection and when conditions permitted, on board the research\nvessel.\n \nPrior to the 09/13/2000 sampling date, in situ measurements were performed at\ndiscrete depths using a Hydrolab Data Sonde 3 equipped with a multiprobe and\nSVR3 display logger.\\u00a0 Beginning on the 09/13/2000 sampling date, in situ\nmeasurements were performed at discrete depths on the sunlit side of the\nresearch vessel using a Yellow Springs Instruments (YSI Incoporated, Ohio)\nmultiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System)\nequipped with a YSI conductivity/temperature probe (Model 6560), a YSI\nchlorophyll probe (Model 6025), a YSI pH probe (Model 6561 or 6566), a YSI\npulsed dissolved oxygen probe (Model 6562), a self cleaning YSI turbidity\nprobe (Model 6026 or 6136), and beginning on the 07/30/2003 sampling date, a\nflat Li-Cor sensor (UWQ-PAR 6067).\\u00a0 The YSI sonde was coupled to a either\na YSI 610 DM datalogger or a YSI 650 MDS Multi-parameter Display System\ndatalogger.\\u00a0 In situ measurements were performed at the surface\n(approximately 0.2 meters) and at the bottom of the water column\n(approximately 0.5 meters from the sediment layer).\\u00a0 These data are\nincluded in the worksheet titled \\\"NRE Dataset.\\\"\\u00a0 In situ measurements\nwere also performed throughout the water column in 0.5 meter depth\nincrements.\\u00a0 These data are included in the worksheet titled \\\"NRE YSI\nProfiles.\\\"\\u00a0 The data were stored on the datalogger and downloaded to\nEcowin software upon return to the laboratory.\n \nThe secchi disk was deployed off of the sunlit side of the research\nvessel.\\u00a0 The depth (in meters) at which the secchi disk was no longer\nvisible by the naked eye was recorded as the secchi depth.\n \nThe diffuse light attenuation coefficient, Kd, was calculated from depth\nprofiles of photosynthetically active radiation (PAR, 400-700 nm).\\u00a0 Prior\nto the 07/30/2003 sampling date, PAR measurements were performed with a\nspherical underwater quantum sensor (LI-COR LI-193SA) coupled to a LI-COR\nLI-1000 datalogger.\\u00a0 Beginning on the 07/30/2003 sampling date, a flat\nunderwater quantum sensor (LI-COR LI-193SA) attached to a Yellow Springs\nInstruments YSI 6600 or YSI 6600 EDS-S sonde was used to measure PAR.\\u00a0\nMeasurements of PAR were performed on the sunlit side of the research vessel\nin 0.5 meter depth increments, beginning just below the water surface.\\u00a0\nThe diffuse attenuation coefficient is the slope of the linear regression\nbetween natural log transformed PAR data and depth.\\u00a0\n \nColored dissolved organic matter (CDOM) was measured using a Turner Designs\nTD-700 fluorometer configured with a near-UV mercury vapour lamp, a 350 nm\nexcitation filter, and a 410\\u2013600 nm emission filter. The fluorometer was\ncalibrated to quinine sulfate (QS) solutions made up in 2 N sulfuric acid.\nWater samples were vacuum filtered (less than 25 kilopascal) using pre-\ncombusted Whatman glass microfibre filters (GF/F) and the filtrate was stored\nin scintillation vials in the dark at 4 degrees Celsius until fluorometric\nanalysis.\\u00a0 The official decision (3/2/2017) is that cdom results from\n12/1/2003 through 4/25/2011 would be multiplied by a corrective factor of\n2.0.\\u00a0 Results for sample date of 5/9/2011 and after do not need\ncorrecting.\\u00a0 It is believed the stock solution was made wrong, making a\n1L recipe for 600 ug/L in a 500 ml flask equals 1200 ug/L stock\nsolution.\\u00a0 Standards were still calibrated according to recipe, but were\nactually 2x as strong.\\u00a0\n \n\\u00a0The official decision (3/2/2017) is that cdom results from 12/1/2003\nthrough 4/25/2011 would be multiplied by a corrective factor of 2.0.\\u00a0\nResults for sample date of 5/9/2011 and after do not need correcting.\\u00a0 It\nis believed the stock solution was made wrong, making a 1L recipe for 600 ug/L\nin a 500 ml flask equals 1200 ug/L stock solution.\\u00a0 Standards were still\ncalibrated according to recipe, but were actually 2x as strong.\\u00a0\n \nParticulate organic carbon (POC) concentrations were determined by elemental\nanalysis of material collected on pre-combusted Whatman GF/F glass fiber\nfilters.\\u00a0 Carbonates were removed from the filters by vapor phase\nacidification using concentrated hydrochloric acid (HCl).\\u00a0 After drying\nat 60 0C, the filters were rolled in tin disks and injected into a PE 2400\nSeries II CHNS/O Analyzer calibrated with acetanilide ending in June\n2014.\\u00a0 Starting on the Neuse River sample date of June 2, 2014, a Costech\nAnalytical Technologies, Inc. Elemental Combustion System CHNS-O ECS 4010 was\nused for elemental analysis by \\\"flash combustion/chromatographic separation\nand multi-detector techniques\\\".\\u00a0 The Costech Instrument utilizes EAS\nClarity Software.\\u00a0 Atropine standards are used to develop a calibration\ncurve (C 70.56%, N 4.84%, and carbon response ratio of 0.025 +/-0.003).\\u00a0\nNIST Buffalo River Sediment Reference Material 8704 (C 3.351% +/-0.017, N\n0.20% +/-0.04) and/or Acetanilide Bypass (C 71.09%, N 10.36%, carbon response\nratio of 0.055 +/- 0.003) may used for calibration or a check standard.\n \nThe molar ratio of particulate organic carbon (POC) to particulate nitrogen\n(PN), or C:N, was calculated by dividing POC by PN.\\u00a0 (Carbon ug/L\n/12.011)/(Nitrogen ug/L/14.007).\n \nDissolved organic carbon (DOC) concentration was measured using a Shimadzu\nTOC-5000A Analyzer:\\u00a0 Water samples were vacuum filtered (less than 25\nkilopascal) using pre-combusted Whatman glass microfibre filters (GF/F).\\u00a0\nThe filtrate was stored in pre-combusted glass scintillation vials with Teflon\nclosures and frozen at -20 degrees Celsius until analysis.\\u00a0 The Shimadzu\nTOC-5000A Analyzer uses high temperature catalytic oxidation followed by non-\ndispersive infrared analysis of the CO2 produced.\\u00a0 Samples were acidified\nto a pH less than 2 and sparged with air before they were analyzed for non-\nvolatile organic carbon.\\u00a0 DOC values in 1996 were run from previously run\nnutrient samples. Starting February 2018, all stations were collected.\\u00a0\nPrior to Feb. 2018 only NR 0, 30, 70, 100, 120, and 160 surface and bottom\nstations were measured.\n \nNitrate/nitrite (NO3- / NO2-) concentration was determined using a\nLachat/Zellweger Analytics QuikChem 8000 flow injection autoanalyzer\n(Milwaukee, WI, USA) using method FIA 31-107-04-1-C:\\u00a0 Water samples were\nvacuum filtered (less than 25 kiloPascals) using pre-combusted Whatman glass\nmicrofibre filters (GF/F).\\u00a0 The filtrate was stored in high-density\npolyethylene bottles and frozen at -20 degrees Celsius until analysis.\\u00a0\nTwo replicates were run from the same bottle.\\u00a0 Method detection limits\n(MDL, \\u00b5g L-1) were: before 4Nov02 = 1.06; beginning 4Nov02 = 3.68;\nbeginning 11Jul06 = 0.6; beginning 1Dec09 = 0.27; beginning 13Feb12 = 0.36;\nbeginning 18Feb15 = 0.71.\\u00a0 MDL was changed to 0.88 on a sample date of\n8/21/2017.\n \nAmmonium (NH4+) concentration was determined using a Lachat/Zellweger\nAnalytics QuikChem 8000 flow injection autoanalyzer (Milwaukee, WI) using\nmethod FIA 31-107-06-1-A/B:\\u00a0 Water samples were vacuum filtered (less\nthan 25 kiloPascals) using pre-combusted Whatman glass microfibre filters\n(GF/F).\\u00a0 The filtrate was stored in high-density polyethylene bottles and\nfrozen (-20 degrees Celsius) until analysis.\\u00a0 Two replicates were run\nfrom the same bottle.\\u00a0 \\u00a0Method detection limits (MDL, \\u00b5g L-1)\nwere: before 4Nov02 = 4.69; beginning 4Nov02 = 4.31; beginning 11Jul06 = 2.55;\nbeginning 1Dec09 = 3.98; beginning 13Feb12 = 2.87; beginning 18Feb15 =\n3.34.\\u00a0 MDL was changed to 1.05 on sample date 8/21/2017.\n \nDissolved inorganic nitrogen (DIN) concentration was calculated by summing\nnitrate/nitrite (NO3- / NO2-) and ammonium (NH4+).\\u00a0 If either NO3- / NO2-\nor NH4+ were below the detection limit (-9999), they were taken to be zero for\nthis calculation.\n \nTotal dissolved nitrogen (TDN) was measured by in-line digestion using the\nLachat/Zellweger Analytics QuikChem 8000 flow injection autoanalyzer\n(Milwaukee, WI, USA) using method FIA 31-107-04-3-B for low total nitrogen for\nbrackish/fresh waters (detection level: 0.1 - 5.0 milligrams nitrogen per\nliter):\\u00a0 Water samples were vacuum filtered (less than 25 kiloPascals)\nusing pre-combusted Whatman glass microfibre filters (GF/F).\\u00a0 The\nfiltrate was stored in high-density polyethylene bottles and frozen at -20\ndegrees Celsius until analysis.\\u00a0 Two replicates were run from the same\nbottle.\\u00a0 Total dissolved nitrogen by in-line digestion works by oxidizing\nall the nitrogen compounds to nitrate by heating to 100 degrees Celsius and\nadding energy via UV light.\\u00a0 The pH is dropped from 9.1 to 3 during the\ndecomposition.\\u00a0 The entire digestion occurs prior to the injection\nvalve.\\u00a0 The nitrate/nitrite concentration is then determined using\nstandard colorimetric techniques similar to the strict nitrate/nitrite\nmanifold. Method detection limits (MDL, \\u00b5g L-1) were: beginning 1Nov04 =\n78; beginning 11Jul06 = 35.4 beginning 1Dec09 = 25.6; beginning 13Feb12 =\n36.9; beginning 14Jan13 = 19.6; beginning 18Feb15 = 10.5.\\u00a0 MDL changed to\n7.30 on sample date of 8/21/2017\\u00a0\n \nDissolved organic nitrogen (DON) was calculated by subtracting dissolved\ninorganic nitrogen (DIN) from total dissolved nitrogen (TDN).\\u00a0 If the DIN\nvalue used in the calculation was below the detection limit, it was taken to\nbe zero for this calculation.\\u00a0 At one point DON was determined by high\ntemperature oxidation using the Antek 7000N or Antek 7000V analyzer.\n \nOrthophosphate (PO43-) was determined using a Lachat/Zellweger Analytics\nQuikChem 8000 flow injection autoanalyzer (Milwaukee, WI) using method FIA\n31-115-01-1-F/G:\\u00a0 Water samples were vacuum filtered (less than 25\nkiloPascals) using pre-combusted Whatman glass microfibre filters\n(GF/F).\\u00a0 The filtrate was stored in high-density polyethylene bottles and\nfrozen at -20 degrees Celsius until analysis.\\u00a0 Two replicates were run\nfrom the same bottle.\\u00a0 Method detection limits (MDL, \\u00b5g L-1) were:\nbefore 4Nov02 = 0.35; beginning 4Nov02 = 0.74; beginning 1Nov04 = 1.68;\nbeginning 11Jul06 = 1.84; beginning 1Dec09 = 0.62; beginning 13Feb12 = 0.69;\nbeginning 18Feb15 = 0.61.\\u00a0 MDL was changed to 1.80 on the sample date of\n8/21/2017.\n \nThe molar ratio of nitrogen (N) to phosphorus (P), or N:P, was calculated by\ndividing dissolved inorganic nitrogen (DIN) by orthophosphate (PO43-)\nconcentrations.\n \nSilicic acid (SiO2) was measured after vacuum filtration (< 25 kPA) of the\ncollected water samples through pre-combusted (3-4 hours at 450 0C) Whatman\nGF/F glass fiber filters.\\u00a0 The filtrate was stored in high-density\npolyethylene bottles and frozen (-20 0C) until analysis.\\u00a0 Two replicates\nwere run from the same sample bottle.\\u00a0 Nitrate plus nitrite\nconcentrations were determined using a Lachat QuikChem 8000 flow injection\nautoanalyzer (Milwaukee, WI, USA).\\u00a0 Method detection limits (MDL,\n\\u00b5M) were: before 4Nov02 = 0.18; beginning 4Nov02 =1.24; beginning 1Nov04\n= 1.86; beginning 11Jul06 = 0.75; beginning 1Dec09 = 0.75; beginning 13Feb12 =\n0.09; beginning 18Feb15 = 0.08.\\u00a0 MDL was changed to 0.03 on sample date\nof 8/21/2017.\n \nChlorophyll a (Chl a) measurements prior to the 08/17/1999 sampling date were\nmeasured on a Shimadzu UV-160U spectrophotometer using the trichromatic\nequation following sonication (45-60 s) and overnight extraction of glass\nfiber filters in 90 % acetone.\\u00a0 Beginning on the 08/17/1999 sampling\ndate, Chl a concentration was measured using the modified in vitro\nfluorescence technique in EPA Method 445.0 (Welshmeyer 1994, Arar et al.\\u00a0\n1997): Fifty milliliters of each water sample was vacuum filtered (less than\n25 kilopascals) in duplicate at low ambient light conditions using 25 mm\nWhatman glass microfibre filters (GF/F).\\u00a0 The filters were blotted dry,\nwrapped in foil and frozen immediately at -20 degrees Celsius until\nanalysis.\\u00a0 Chlorophyll a was extracted from the filter using a tissue\ngrinder and 10 mL of 90 percent reagent grade aqueous acetone (v/v with\ndeionized water, Fisher Scientific NF/FCC Grade). The samples remained in the\nacetone overnight at -20 degrees Celsius.\\u00a0 The extracts were filter-\nclarified using a centrifuge and analyzed on a Turner Designs TD-700\nfluorometer that was configured for the non-acidification method of\nWelschmeyer (1994).\\u00a0 The value reported is the average chlorophyll a\nconcentration measured from the two filters.\\u00a0 The fluorometer was\ncalibrated with a known concentration of pure Chl a that was determined using\na Shimadzu UV-160U spectrophotometer and the extinction coefficients of\nJeffrey and Humphrey (1975).\\u00a0 The calibration was checked daily against a\nsolid secondary standard (Turner Designs, proprietary formula).\\u00a0 As of\nAugust 2010, fluorescence was also measured on a TurnerDesigns Trilogy\nfluorometer.\\u00a0 References: 1.\\u00a0 Welschmeyer, N.A. 1994. Fluorometric\nanalysis of chlorophyll a in the presence of chlorophyll b and pheopigments.\nLimnol. Oceanogr. 39:1985-1992.\\u00a0 2.\\u00a0 Arar, E.J., W.L. Budde, and\nT.D. Behymer.\\u00a0 1997.\\u00a0 Methods for the determination of chemical\nsubstances in marine and environmental matrices.\\u00a0 EPA/600/R-97/072.\\u00a0\nNational Exposure Research Laboratory, U.S. Environmental Protection Agency,\nCincinnati, Ohio.\\u00a0 3. Jeffrey, S.W., R.F.C. Mantoura, and S.W.\nWright.\\u00a0 1997.\\u00a0 Phytoplankton pigments in oceanography:\\u00a0\nGuidelines to modern methods.\\u00a0 UNESCO Publishing, Paris, France.\n \nSpec was used to determine chla up until AUGUST 1999.\\u00a0 The spec results\nbefore Aug 1999 are corrected to correspond to the change in analysis with the\nTurner Designs fluorometer.\\u00a0 Figure 1 presents raw and log transformed\nregressions between the HPLC and SPEC determinations of chl a in the Neuse\nduring calendar year 1998.\\u00a0 It appears that the SPEC method produces chl\na values that are roughly 15 per cent higher than the HPLC method.\\u00a0\nFigure 2 presents similar regressions between HPLC and FLUO determinations of\nchl a in the Neuse from August \\u2013 December of 1999.\\u00a0 It appears that\nthe FLUO method produces chl a values that are roughly 67 per cent higher than\nthe HPLC method.\\u00a0 These figures suggest two important problems for\nutilizing existing chl a data in water quality modeling in the Neuse; (i) a\ndecision must be made which analysis technique will be accepted as the\nstandard for determining chl a, and (ii) a correction must be applied to\nequilibrate IMS chl a values determined by the SPEC and FLUO methods.\n \nPrimary Productivity rate was measured using an adaptation of Steeman\nNielsen's (1952) 14C bicarbonate method (Paerl et al. 1998).\\u00a0 This method\nof measuring primary productivity allows direct measurement of carbon uptake\nand measures only net photosynthesis:\\u00a0 Water samples were stored in 10\nLiter high density polyethylene containers overnight in the research pond, a\nflow through system that receives water from the adjacent Bogue Sound, thereby\nsimulating ambient water temperatures.\\u00a0 The following morning the water\nsamples were removed from the pond and transported to the laboratory for\nanalysis.\\u00a0 Water samples (76 milliliters) were added to three clear\nplastic square bottles to determine light uptake of carbon in triplicate and\nto 1 dark bottle to determine dark uptake of carbon.\\u00a0 A solution of\nradioactive carbonate (300 microliters) was added to each bottle.\\u00a0 The\nbottles were incubated for 4 hours in the pond.\\u00a0 The light bottles were\nincubated underneath a field light simulator, while the dark bottles were\nincubated in a covered perforated bucket that was submerged in the pond.\\u00a0\nThe FLS was used to simulate the ambient light conditions that phytoplankton\nare exposed to in the estuary (mixing conditions).\\u00a0 The FLS is comprised\nof a rotating wheel with varying levels of screening.\\u00a0 During the\nincubation period, photosynthetically active radiation (PAR) measurements were\nperformed using a 2 pi Li-Cor LI-192SA spherical quantum sensor attached to a\nLi-Cor data logger.\\u00a0 After the incubation period, the samples were\nreturned to the laboratory, shaken and the entire contents were gently vacuum\nfiltered (less than 25 kilopascals) using 25 mm Whatman glass microfibre\nfilters (GF/F).\\u00a0 The filters were placed in wooden drying trays and\ntreated with concentrated hydrochloric acid fumes for 40 minutes to an hour to\nremove inorganic 14C.\\u00a0 The filters were folded in half and placed in 7\nmilliliter plastic scintillation vials.\\u00a0 Five milliliters of liquid\nscintillation cocktail (ecolume or cytoscint) was added to the vials.\\u00a0\nThe vials were capped, shaken, stored in the dark for 3-24 hours and then\nassayed for radioactivity using a Beckman liquid scintillation counter.\\u00a0\nIn addition to the samples, triplicate voucher samples were used to quantify\nthe radioactivity of the 14C added.\\u00a0 Voucher samples consisted of 100\nmicroliter of 14C and 100 microliters of phenylethylamine.\\u00a0 These vials\nalso received 5 milliliters of liquid scintillation cocktail.\\u00a0 A\nbackground vial and two 14C background standards were used.\\u00a0 \\u00a0The\nquantity of carbon fixed is proportional to the fraction of radioactive carbon\nassimilated.\\u00a0 (Paerl, H.W., J.L. Pinckney, J.M. Fear, and B.L. Peierls\n1998. Ecosystem responses to internal and watershed organic matter loading:\nconsequences for hypoxia in the eutrophying Neuse River Estuary, North\nCarolina, USA. Marine Ecology Progress Series 166: 17-25; Steemann Nielsen, E.\n1952. The use of radio-active carbon (C14) for measuring organic production in\nthe sea. Journal du Conseil permanent international pour L'Exploration de la\nMer 18: 117-140)\n \nDiagnostic phytoplankton photopigments were identified, separated and\nquantified by high performance liquid chromatography coupled to an in-line\nphotodiode array spectrophotometer (Jeffrey et al.\\u00a0 1997):\\u00a0 Known\nvolumes of water sample (500-1000 milliliters, enough to obtain color on the\nfilter) were vacuum filtered (less than 25 kiloPascals) through 25 or 47\nmillimeter Whatman glass microfibre filters (GF/F) under reduced light\nconditions.\\u00a0 The filters were blotted dry, folded in half, wrapped in\nfoil and then immediately frozen at -20 degrees Celsius until analysis.\\u00a0\nThe filters were placed in 15 milliliter centrifuge tubes containing 1.5-3.0\nmilliliters of 100% acetone (HPLC Grade), sonicated for 30-60 seconds using a\nFisher Sonic Dismembrator 300 with microtip and extracted at -20 degrees\nCelsius for 12-24 hours.\\u00a0 After extraction the samples were centrifuged\nat 4500 rpm and the supernatant (i.e.- the combined extracted pigments)\ncollected & filtered into amber glass autosampler vials using Millipex\nMillipore 0.45 micometer PTFE.\\u00a0 Two hundred microliters of extractant\nfrom each vial was injected into the HPLC system using a Spectra Physics (now\nThermo Separations Products) AS3000 autosampler and SP8800 pump, running a\nnon-linear, 55 minute, 2-solvent gradient adapted from Van Heukelem et.al.\n1994 or 1995?.\\u00a0 The nonlinear, variable flow, binary gradient consisted\nof solvent A [80% methanol : 20% ammonium acetate (0.5 M adjusted to pH 7.2)]\nand B (80% methanol : 20% acetone).\\u00a0 The extractant was separated into\nindividual pigments using a series of C18 reverse-phase columns to optimize\nphotopigment separations:\\u00a0 The column order was a Rainin Microsorb guard\ncolumn (0.46 x 1.5 centimeters, 3 micrometer packing) followed by a single\nmonomeric reverse-phase C18 column (Rainin Microsorb-MV, 0.46 x 10 cm, 3\n\\u00b5m packing) followed by two polymeric reverse-phase C18 columns (Vydac\n201TP5, 0.46 x 25 cm, 5 \\u00b5m packing).\\u00a0 The columns were kept at a\nconstant 52 degrees Celsius in an Alltech 330 column heater.\\u00a0 The\nseparated pigments were then passed through an in line Shimadzu SPD-M10AV\nphotodiode array detector which measured the absorbance of the\nsample/extractant, scanning the range of 350-800 nanometers every 2\nseconds.\\u00a0 The data was collected and analyzed using Shimadzu's EZChrom\nsoftware.\\u00a0 Individual pigments are identified using a combination of peak\nretention time and absorbance spectrum shape.\\u00a0 Retention times and\nabsorbance spectra are identified for each pigment by analyzing known pigments\n(either as pure standards or pigments or isolated from algal cultures).\\u00a0\nPigments are quantified from their peak areas, calculated at 440nm. A\ncalibration curve is generated by injecting various volumes of a mixed\nstandard composed of known quantities of seven pure pigment standards\n(fucoxanthin, zeaxanthin, bacteriochlorophyll a, canthaxathin, chlorophyll b,\nchlorophyll a, echinenone and \\u00df-carotene) and calculating the peak areas\nof those pigments\\u00a0 \\u00a0The peak areas are regressed against the known\nquantities of each pigment to calculate the slope (Response Factor) for that\npigment.\\u00a0 Response factors for pigments we do not have reference\nstandards for are calculated using the ratio of absorbance coefficients of\neach pigment to its closest structurally related reference pigment,\nmultiplying the known pigment's response factor by that ratio. Pigments\nextracted from the samples are then quantified by multiplying the peak areas\nof a chromatogram at 440nm by the response factors. Pigment values listed as\nbelow detection were below the software threshold for peak detection or had\nspectra below a similarity of 0.9 compared to library spectra. Technician\nexpert judgement was used in difficult cases.\n \nThe HPLC derived diagnostic photopigment concentrations were analyzed using\nthe ChemTax matrix factorization program (Mackey 1996).\\u00a0 This program\nuses the steepest decent algorithm to determine the best fit based on an\ninitial estimate of pigment ratios for algal classes.\\u00a0 The initial\npigment ratio matrix used in the Chemtax analysis was derived from:\\u00a0\nMackey M.D., Mackey D.J., Higgins H.W., & Wright S.W.\\u00a0 1996.\\u00a0\nCHEMTAX- a program for estimating class abundances from chemical markers:\napplication to HPLC measurements of phytoplankton.\\u00a0 Marine Ecology\nProgress Series 144: 265-283, and consisted of nine photopigments\n(alloxanthin, antheraxanthin, chlorophyll b, total chlorophyll a (chlorophyll\na + chlorophyllide a), fucoxanthin, lutein, peridinin, violaxanthin, and\nzeaxanthin) for five algal groups that constitute the bulk of the\nphytoplankton community in the Neuse River and Estuary (chlorophytes,\ncryptophytes, cyanobacteria, diatoms, and dinoflagellates).\\u00a0 In order to\nreduce the variation of pigment ratios due to large changes in phytoplankton\nspecies composition with depth, season, and salinity regime, homogenous data\ngroupings of the HPLC pigment data were performed prior to running on\nChemtax:\\u00a0 HPLC pigment data was grouped by Depth Level (surface or\nbottom) then by Season (winter, spring, summer and fall) then by Salinity\nregime (oligohaline: <5.0 ppt, mesohaline: 5.01 - 18.0 ppt, polyhaline: >18.01\nppt).\\u00a0 When there were less than 10 samples in a given homogenous\ngrouping (Chemtax requires at least 10 samples per run), the data was grouped\nby oligohaline + mesohaline or mesohaline + polyhaline (This is indicated in\nthe comments section).\n \nDistance (in river kilometers) was calculated using ESRI ArcGIS\nsoftware.\\u00a0 Distances were calculated using projected station locations\n(North Carolina State Plane 1983 meters projection).\\u00a0 Distances from\nstation 0 through 30 (upper river stations) were measured along the main\nchannel of the river. Distances from stations 30 to 180 were measured as\nstraight lines between stations |
| attribute | NC_GLOBAL | awards_0_award_nid | String | 762165 |
| attribute | NC_GLOBAL | awards_0_award_number | String | OCE-0825466 |
| attribute | NC_GLOBAL | awards_0_data_url | String | http://www.nsf.gov/awardsearch/showAward.do?AwardNumber=0825466
|
| attribute | NC_GLOBAL | awards_0_funder_name | String | NSF Division of Ocean Sciences |
| attribute | NC_GLOBAL | awards_0_funding_acronym | String | NSF OCE |
| attribute | NC_GLOBAL | awards_0_funding_source_nid | String | 355 |
| attribute | NC_GLOBAL | awards_0_program_manager | String | David L. Garrison |
| attribute | NC_GLOBAL | awards_0_program_manager_nid | String | 50534 |
| attribute | NC_GLOBAL | cdm_data_type | String | Other |
| attribute | NC_GLOBAL | comment | String | Biological, chemical, and physical water quality indicators of the Neuse River. \n PI: Hans Paerl \n Version: 2019-05-13 |
| 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/
|
| attribute | NC_GLOBAL | data_source | String | extract_data_as_tsv version 2.3 19 Dec 2019 |
| attribute | NC_GLOBAL | date_created | String | 2019-05-13T13:27:33Z |
| attribute | NC_GLOBAL | date_modified | String | 2019-05-15T16:27:40Z |
| attribute | NC_GLOBAL | defaultDataQuery | String | &time<now |
| attribute | NC_GLOBAL | doi | String | 10.1575/1912/bco-dmo.767391.1 |
| attribute | NC_GLOBAL | Easternmost_Easting | double | -76.526 |
| attribute | NC_GLOBAL | geospatial_lat_max | double | 35.2106 |
| attribute | NC_GLOBAL | geospatial_lat_min | double | 34.9489 |
| attribute | NC_GLOBAL | geospatial_lat_units | String | degrees_north |
| attribute | NC_GLOBAL | geospatial_lon_max | double | -76.526 |
| attribute | NC_GLOBAL | geospatial_lon_min | double | -77.1222 |
| attribute | NC_GLOBAL | geospatial_lon_units | String | degrees_east |
| attribute | NC_GLOBAL | geospatial_vertical_max | double | 7.501 |
| attribute | NC_GLOBAL | geospatial_vertical_min | double | 0.1 |
| 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/767391
|
| attribute | NC_GLOBAL | institution | String | BCO-DMO |
| attribute | NC_GLOBAL | instruments_0_acronym | String | LI-COR LI-193 PAR |
| attribute | NC_GLOBAL | instruments_0_dataset_instrument_description | String | Prior to the 07/30/2003 sampling date, PAR measurements were performed with a spherical underwater quantum sensor (LI-COR LI-193SA) coupled to a LI-COR LI-1000 datalogger. Beginning on the 07/30/2003 sampling date, a flat underwater quantum sensor (LI-COR LI-193SA) attached to a Yellow Springs Instruments YSI 6600 or YSI 6600 EDS-S sonde was used to measure PAR. |
| attribute | NC_GLOBAL | instruments_0_dataset_instrument_nid | String | 767456 |
| attribute | NC_GLOBAL | instruments_0_description | String | The LI-193 Underwater Spherical Quantum Sensor uses a Silicon Photodiode and glass filters encased in a waterproof housing to measure PAR (in the 400 to 700 nm waveband) in aquatic environments. Typical output is in micromol s-1 m-2. The LI-193 Sensor gives an added dimension to underwater PAR measurements as it measures photon flux from all directions. This measurement is referred to as Photosynthetic Photon Flux Fluence Rate (PPFFR) or Quantum Scalar Irradiance. This is important, for example, when studying phytoplankton, which utilize radiation from all directions for photosynthesis. LI-COR began producing Spherical Quantum Sensors in 1979; serial numbers for the LI-193 begin with SPQA-XXXXX (licor.com). |
| attribute | NC_GLOBAL | instruments_0_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0458/
|
| attribute | NC_GLOBAL | instruments_0_instrument_name | String | LI-COR LI-193 PAR Sensor |
| attribute | NC_GLOBAL | instruments_0_instrument_nid | String | 432 |
| attribute | NC_GLOBAL | instruments_0_supplied_name | String | spherical underwater quantum sensor (LI-COR LI-193SA) |
| attribute | NC_GLOBAL | instruments_10_dataset_instrument_description | String | Bottom water samples were collected with a horizontal plastic Van Dorn sampler. |
| attribute | NC_GLOBAL | instruments_10_dataset_instrument_nid | String | 767452 |
| attribute | NC_GLOBAL | instruments_10_description | String | A free-flushing water sample bottle comprising a cylinder (polycarbonate, acrylic or PVC) with a stopper at each end. The bottle is closed by means of a messenger from the surface releasing the tension on a latex band and thus pulling the two stoppers firmly into place. A thermometer can be mounted inside the bottle. One or more bottles can be lowered on a line to allow sampling at a single or multiple depth levels. Van Dorn samplers are suitable for for physical (temperature), chemical and biological sampling in shallow to very deep water. Bottles are typically lowered vertically through the water column although a horizontal version is available for sampling near the seabed or at thermoclines or chemoclines. Because of the lack of metal parts the bottles are suitable for trace metal sampling, although the blue polyurethane seal used in the Alpha version may leach mercury. The Beta version uses white ASA plastic seals that do not leach mercury but are less durable. |
| attribute | NC_GLOBAL | instruments_10_instrument_name | String | Van Dorn water sampler |
| attribute | NC_GLOBAL | instruments_10_instrument_nid | String | 755357 |
| attribute | NC_GLOBAL | instruments_10_supplied_name | String | plastic Van Dorn sampler |
| attribute | NC_GLOBAL | instruments_1_acronym | String | HPLC |
| attribute | NC_GLOBAL | instruments_1_dataset_instrument_description | String | Two hundred microliters of extractant from each vial was injected into the HPLC system using a Spectra Physics (now Thermo Separations Products) AS3000 autosampler and SP8800 pump, running a non-linear, 55 minute, 2-solvent gradient adapted from Van Heukelem et.al. 1994 or 1995?. |
| attribute | NC_GLOBAL | instruments_1_dataset_instrument_nid | String | 767462 |
| attribute | NC_GLOBAL | instruments_1_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_1_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB11/
|
| attribute | NC_GLOBAL | instruments_1_instrument_name | String | High Performance Liquid Chromatograph |
| attribute | NC_GLOBAL | instruments_1_instrument_nid | String | 506 |
| attribute | NC_GLOBAL | instruments_1_supplied_name | String | HPLC system |
| attribute | NC_GLOBAL | instruments_2_acronym | String | Nutrient Autoanalyzer |
| attribute | NC_GLOBAL | instruments_2_dataset_instrument_description | String | Nitrate/nitrite (NO3- / NO2-) concentration was determined using a Lachat/Zellweger Analytics QuikChem 8000 flow injection autoanalyzer (Milwaukee, WI, USA) using method FIA 31-107-04-1-C.\nAmmonium (NH4+) concentration was determined using a Lachat/Zellweger Analytics QuikChem 8000 flow injection autoanalyzer (Milwaukee, WI) using method FIA 31-107-06-1-A/B.\nTotal dissolved nitrogen (TDN) was measured by in-line digestion using the Lachat/Zellweger Analytics QuikChem 8000 flow injection autoanalyzer (Milwaukee, WI, USA) using method FIA 31-107-04-3-B for low total nitrogen for brackish/fresh waters (detection level: 0.1 - 5.0 milligrams nitrogen per liter).\nOrthophosphate (PO43-) was determined using a Lachat/Zellweger Analytics QuikChem 8000 flow injection autoanalyzer (Milwaukee, WI) using method FIA 31-115-01-1-F/G. |
| attribute | NC_GLOBAL | instruments_2_dataset_instrument_nid | String | 767460 |
| attribute | NC_GLOBAL | instruments_2_description | String | Nutrient Autoanalyzer is a generic term used when specific type, make and model were not specified. In general, a Nutrient Autoanalyzer is an automated flow-thru system for doing nutrient analysis (nitrate, ammonium, orthophosphate, and silicate) on seawater samples. |
| attribute | NC_GLOBAL | instruments_2_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB04/
|
| attribute | NC_GLOBAL | instruments_2_instrument_name | String | Nutrient Autoanalyzer |
| attribute | NC_GLOBAL | instruments_2_instrument_nid | String | 558 |
| attribute | NC_GLOBAL | instruments_2_supplied_name | String | Lachat/Zellweger Analytics QuikChem 8000 flow injection autoanalyzer |
| attribute | NC_GLOBAL | instruments_3_acronym | String | UV Spectrophotometer-Shimadzu |
| attribute | NC_GLOBAL | instruments_3_dataset_instrument_description | String | Dissolved organic carbon (DOC) concentration was measured using a Shimadzu TOC-5000A Analyzer: Water samples were vacuum filtered (less than 25 kilopascal) using pre-combusted Whatman glass microfibre filters (GF/F). The filtrate was stored in pre-combusted glass scintillation vials with Teflon closures and frozen at -20 degrees Celsius until analysis. The Shimadzu TOC-5000A Analyzer uses high temperature catalytic oxidation followed by non-dispersive infrared analysis of the CO2 produced. Samples were acidified to a pH less than 2 and sparged with air before they were analyzed for non-volatile organic carbon. DOC values in 1996 were run from previously run nutrient samples. Starting February 2018, all stations were collected. Prior to Feb. 2018 only NR 0, 30, 70, 100, 120, and 160 surface and bottom stations were measured. |
| attribute | NC_GLOBAL | instruments_3_dataset_instrument_nid | String | 767459 |
| attribute | NC_GLOBAL | instruments_3_description | String | The Shimadzu UV Spectrophotometer is manufactured by Shimadzu Scientific Instruments (ssi.shimadzu.com). Shimadzu manufacturers several models of spectrophotometer; refer to dataset for make/model information. |
| attribute | NC_GLOBAL | instruments_3_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB20/
|
| attribute | NC_GLOBAL | instruments_3_instrument_name | String | UV Spectrophotometer-Shimadzu |
| attribute | NC_GLOBAL | instruments_3_instrument_nid | String | 595 |
| attribute | NC_GLOBAL | instruments_3_supplied_name | String | Shimadzu TOC-5000A Analyzer |
| attribute | NC_GLOBAL | instruments_4_acronym | String | Secchi Disc |
| attribute | NC_GLOBAL | instruments_4_dataset_instrument_description | String | The secchi disk was deployed off of the sunlit side of the research vessel. The depth (in meters) at which the secchi disk was no longer visible by the naked eye was recorded as the secchi depth. |
| attribute | NC_GLOBAL | instruments_4_dataset_instrument_nid | String | 767455 |
| attribute | NC_GLOBAL | instruments_4_description | String | Typically, a 16 inch diameter white/black quadrant disc used to measure water optical clarity |
| attribute | NC_GLOBAL | instruments_4_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0430/
|
| attribute | NC_GLOBAL | instruments_4_instrument_name | String | Secchi Disc |
| attribute | NC_GLOBAL | instruments_4_instrument_nid | String | 609 |
| attribute | NC_GLOBAL | instruments_4_supplied_name | String | secchi disk |
| attribute | NC_GLOBAL | instruments_5_acronym | String | CHN_EA |
| attribute | NC_GLOBAL | instruments_5_dataset_instrument_description | String | After drying at 60 0C, the filters were rolled in tin disks and injected into a PE 2400 Series II CHNS/O Analyzer calibrated with acetanilide ending in June 2014. Starting on the Neuse River sample date of June 2, 2014, a Costech Analytical Technologies, Inc. Elemental Combustion System CHNS-O ECS 4010 was used for elemental analysis by \"flash combustion/chromatographic separation and multi-detector techniques\". The Costech Instrument utilizes EAS Clarity Software. Atropine standards are used to develop a calibration curve (C 70.56%, N 4.84%, and carbon response ratio of 0.025 +/-0.003). NIST Buffalo River Sediment Reference Material 8704 (C 3.351% +/-0.017, N 0.20% +/-0.04) and/or Acetanilide Bypass (C 71.09%, N 10.36%, carbon response ratio of 0.055 +/- 0.003) may used for calibration or a check standard. |
| attribute | NC_GLOBAL | instruments_5_dataset_instrument_nid | String | 767458 |
| attribute | NC_GLOBAL | instruments_5_description | String | A CHN Elemental Analyzer is used for the determination of carbon, hydrogen, and nitrogen content in organic and other types of materials, including solids, liquids, volatile, and viscous samples. |
| attribute | NC_GLOBAL | instruments_5_instrument_name | String | CHN Elemental Analyzer |
| attribute | NC_GLOBAL | instruments_5_instrument_nid | String | 625 |
| attribute | NC_GLOBAL | instruments_5_supplied_name | String | PE 2400 Series II CHNS/O Analyzer |
| attribute | NC_GLOBAL | instruments_6_acronym | String | HydroLab DS4 |
| attribute | NC_GLOBAL | instruments_6_dataset_instrument_description | String | Prior to the 09/13/2000 sampling date, in situ measurements were performed at discrete depths using a Hydrolab Data Sonde 3 equipped with a multiprobe and SVR3 display logger. |
| attribute | NC_GLOBAL | instruments_6_dataset_instrument_nid | String | 767453 |
| attribute | NC_GLOBAL | instruments_6_description | String | Sensors for temperature, conductivity, salinity, specific conductance, TDS, pH, ORP, dissolved oxygen, turbidity, chlorophyll a, blue-green algae, Rhodamine WT, ammonium, nitrate, chloride, ambient light (PAR), and total dissolved gas. |
| attribute | NC_GLOBAL | instruments_6_instrument_name | String | HydroLab Datasonde 4 Multiprobe |
| attribute | NC_GLOBAL | instruments_6_instrument_nid | String | 642 |
| attribute | NC_GLOBAL | instruments_6_supplied_name | String | Hydrolab Data Sonde 3 |
| attribute | NC_GLOBAL | instruments_7_acronym | String | YSI Sonde 6-Series |
| attribute | NC_GLOBAL | instruments_7_dataset_instrument_description | String | Beginning on the 09/13/2000 sampling date, in situ measurements were performed at discrete depths on the sunlit side of the research vessel using a Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System) equipped with a YSI conductivity/temperature probe (Model 6560), a YSI chlorophyll probe (Model 6025), a YSI pH probe (Model 6561 or 6566), a YSI pulsed dissolved oxygen probe (Model 6562), a self cleaning YSI turbidity probe (Model 6026 or 6136), and beginning on the 07/30/2003 sampling date, a flat Li-Cor sensor (UWQ-PAR 6067). |
| attribute | NC_GLOBAL | instruments_7_dataset_instrument_nid | String | 767454 |
| attribute | NC_GLOBAL | instruments_7_description | String | YSI 6-Series water quality sondes and sensors are instruments for environmental monitoring and long-term deployments. YSI datasondes accept multiple water quality sensors (i.e., they are multiparameter sondes). Sondes can measure temperature, conductivity, dissolved oxygen, depth, turbidity, and other water quality parameters. The 6-Series includes several models. More from YSI. |
| attribute | NC_GLOBAL | instruments_7_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0737/
|
| attribute | NC_GLOBAL | instruments_7_instrument_name | String | YSI Sonde 6-Series |
| attribute | NC_GLOBAL | instruments_7_instrument_nid | String | 663 |
| attribute | NC_GLOBAL | instruments_7_supplied_name | String | Yellow Springs Instruments (YSI Incoporated, Ohio) multiparameter sonde (Model 6600 or 6600 EDS-S Extended Deployment System) |
| attribute | NC_GLOBAL | instruments_8_acronym | String | TD-700 |
| attribute | NC_GLOBAL | instruments_8_dataset_instrument_description | String | Colored dissolved organic matter (CDOM) was measured using a Turner Designs TD-700 fluorometer configured with a near-UV mercury vapour lamp, a 350 nm excitation filter, and a 410–600 nm emission filter. |
| attribute | NC_GLOBAL | instruments_8_dataset_instrument_nid | String | 767457 |
| attribute | NC_GLOBAL | instruments_8_description | String | The TD-700 Laboratory Fluorometer is a benchtop fluorometer designed to detect fluorescence over the UV to red range. The instrument can measure concentrations of a variety of compounds, including chlorophyll-a and fluorescent dyes, and is thus suitable for a range of applications, including chlorophyll, water quality monitoring and fluorescent tracer studies. Data can be output as concentrations or raw fluorescence measurements. |
| attribute | NC_GLOBAL | instruments_8_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L22/current/TOOL0510/
|
| attribute | NC_GLOBAL | instruments_8_instrument_name | String | Turner Designs 700 Laboratory Fluorometer |
| attribute | NC_GLOBAL | instruments_8_instrument_nid | String | 694 |
| attribute | NC_GLOBAL | instruments_8_supplied_name | String | Turner Designs TD-700 fluorometer |
| attribute | NC_GLOBAL | instruments_9_acronym | String | Spectrophotometer |
| attribute | NC_GLOBAL | instruments_9_dataset_instrument_description | String | Diagnostic phytoplankton photopigments were identified, separated and quantified by high performance liquid chromatography coupled to an in-line photodiode array spectrophotometer (Jeffrey et al. 1997) |
| attribute | NC_GLOBAL | instruments_9_dataset_instrument_nid | String | 767461 |
| attribute | NC_GLOBAL | instruments_9_description | String | An instrument used to measure the relative absorption of electromagnetic radiation of different wavelengths in the near infra-red, visible and ultraviolet wavebands by samples. |
| attribute | NC_GLOBAL | instruments_9_instrument_external_identifier | String | https://vocab.nerc.ac.uk/collection/L05/current/LAB20/
|
| attribute | NC_GLOBAL | instruments_9_instrument_name | String | Spectrophotometer |
| attribute | NC_GLOBAL | instruments_9_instrument_nid | String | 707 |
| attribute | NC_GLOBAL | instruments_9_supplied_name | String | in-line photodiode array spectrophotometer |
| attribute | NC_GLOBAL | keywords | String | allo, Allo_corr, ammonia, ammonium, anth, B_car, bco, bco-dmo, biological, but, But_fuco, c1c2, cantha, car, carbon, cdom, Cdom_Corrected, chemical, chemistry, chl, Chl_a_corr, Chl_b_corr, Chl_c1c2, chla, Chla_IWS, chlide, Chlide_a, chlorophyll, chlorophyll-a, chlraw, colored, commerce, concentration, concentration_of_chlorophyll_in_sea_water, cond, corr, Correct_Chla_IV, corrected, cto, CtoN, data, dataset, date, density, department, depth, depth2, description, diadino, diato, dic, din, dissolved, dmo, doc, don, dosat, DV_chl_a, earth, Earth Science > Oceans > Ocean Chemistry > Ammonia, Earth Science > Oceans > Ocean Chemistry > Chlorophyll, Earth Science > Oceans > Ocean Chemistry > Nitrate, Earth Science > Oceans > Ocean Chemistry > Phosphate, Earth Science > Oceans > Salinity/Density > Salinity, echin, erddap, fuco, Fuco_corr, gyro, hex, Hex_fuco, iso, km0, latitude, longitude, lut, management, mass, mass_concentration_of_phosphate_in_sea_water, matter, mole, mole_concentration_of_ammonium_in_sea_water, mole_concentration_of_nitrate_in_sea_water, monado, myxo, n02, neo, nh4, nitrate, no3, NO3_NO2, nto, NtoP, O2, ocean, oceanography, oceans, office, organic, oxygen, particulate, perid, Perid_corr, phide, Phide_a, phosphate, phytin, Phytin_a, po4, POC, ppr, practical, pras, preliminary, salinity, science, sea, sea_water_practical_salinity, season, seawater, secchi, SiO2, source, spec, station, Station_Description, tdn, temperature, time, total, TotalChla, turbidity, viola, water, year, ysi, YSI_BP, YSI_Chl, YSI_Chlraw, YSI_Depth, YSI_DO, YSI_DOsat, YSI_pH, YSI_Salinity, YSI_SpecCond, YSI_Temp, YSI_Time, YSI_Turbidity, zea, Zea_corr |
| attribute | NC_GLOBAL | keywords_vocabulary | String | GCMD Science Keywords |
| attribute | NC_GLOBAL | license | String | https://www.bco-dmo.org/dataset/767391/license
|
| attribute | NC_GLOBAL | metadata_source | String | https://www.bco-dmo.org/api/dataset/767391
|
| attribute | NC_GLOBAL | Northernmost_Northing | double | 35.2106 |
| attribute | NC_GLOBAL | param_mapping | String | {'767391': {'Lat': 'flag - latitude', 'YSI_Depth': 'flag - depth', 'Lon': 'flag - longitude'}} |
| attribute | NC_GLOBAL | parameter_source | String | https://www.bco-dmo.org/mapserver/dataset/767391/parameters
|
| attribute | NC_GLOBAL | people_0_affiliation | String | University of North Carolina at Chapel Hill |
| attribute | NC_GLOBAL | people_0_affiliation_acronym | String | UNC-Chapel Hill |
| attribute | NC_GLOBAL | people_0_person_name | String | Hans Paerl |
| attribute | NC_GLOBAL | people_0_person_nid | String | 734605 |
| attribute | NC_GLOBAL | people_0_role | String | Principal Investigator |
| attribute | NC_GLOBAL | people_0_role_type | String | originator |
| attribute | NC_GLOBAL | people_1_affiliation | String | Woods Hole Oceanographic Institution |
| attribute | NC_GLOBAL | people_1_affiliation_acronym | String | WHOI BCO-DMO |
| attribute | NC_GLOBAL | people_1_person_name | String | Mathew Biddle |
| attribute | NC_GLOBAL | people_1_person_nid | String | 708682 |
| attribute | NC_GLOBAL | people_1_role | String | BCO-DMO Data Manager |
| attribute | NC_GLOBAL | people_1_role_type | String | related |
| attribute | NC_GLOBAL | project | String | climate_phyto_estuaries |
| attribute | NC_GLOBAL | projects_0_acronym | String | climate_phyto_estuaries |
| attribute | NC_GLOBAL | projects_0_description | String | NSF Award Abstract:\nClimatic perturbations by drought-flood cycles, tropical storms, and hurricanes are increasingly important in Mid-Atlantic estuaries, leading to ecosystem-scale responses of the plankton system with significant trophic implications. Recent observations support an emerging paradigm that climate dominates nutrient enrichment in these ecosystems, explaining seasonal and interannual variability of phytoplankton floral composition, biomass (chl-a), and primary production (PP). This project will evaluate this paradigm in the two largest estuaries in the United States, Chesapeake Bay (CB) and Albemarle-Pamlico Sound-Neuse River Estuary (APS-NRE) by quantifying responses to climatic perturbations. This project will: (1) resolve long-term trends of plankton biomass/production from high variability driven by climatic forcing, such as drought-flood cycles that generate significant departures from the norm; (2) quantify the role of episodic wind and precipitation events, such as those associated with frontal passages, tropical storms, and hurricanes, that evoke consequential spikes of biomass/production outside the resolution of traditional methods. The field program will focus on event-scale forcing of phytoplankton dynamics by collecting shipboard, aircraft remote sensing, and satellite (SeaWiFS, MODIS-A) data, analyzing extensive monitoring data for CB and APS-NRE to develop context, and quantifying effects of climatic perturbations on phytoplankton dynamics as departures from long-term averages. The rapid-response sampling will be paired with numerical simulations using coupled hydrodynamic biogeochemical models based on the Regional Ocean Modeling System (ROMS). This combination of observations and modeling will be used to explore mechanistic links and test empirical relationships obtained from field data.\nIntellectual Merit. Drought-flood cycles, tropical storms, and hurricanes are occurring at increasing severity and frequency, exerting significant pressures on land margin ecosystems. Research and monitoring in these ecosystems has focused singularly on eutrophication for nearly five decades. Recognition of climatic perturbations as the underlying cause of phytoplankton variability represents a significant departure from this singular focus. This project will combine observations and modeling to significantly extend our knowledge of how climate regulates phytoplankton dynamics in estuaries. Progress in calibrating and validating hydrodynamic biogeochemical models with data collected in CB and APS-NRE by this project will lead to predictive capabilities thus far unattained, allowing us to evaluate the paradigm that climatic perturbations regulate phytoplankton dynamics in estuaries.\nBroader Impacts: Addressing the effects of climatic perturbations on phytoplankton dynamics in estuaries with a combination of data collection, analysis, and mechanistic modeling has societal benefits for scientists and resource managers. Applications in addition to ?basic? science include the consideration of climatic forcing in designing effective nutrient management strategies. Specific impacts include: (1) quantifying the effects of climatic perturbations on planktonic processes for important estuarine-coastal ecosystems; (2) extending empirically-based water quality criteria forward by enabling predictions of floral composition, chl-a, and PP in changing climate conditions; (3) combining observations and mechanistic models to support scenario analysis, allowing us to distinguish long-term trends from variability imposed by climate. This project will offer a graduate course in physical transport processes and plankton productivity that will benefit from this research, support two Ph.D. students, and train undergraduates in NSF REU and minority outreach programs at HPL-UMCES and IMS-UNC. The main products will be peer-reviewed publications and presentations at scientific meetings. The three PIs maintain active web sites that will be used to distribute results and data.\nNOTE:\nDr. Harding was the original Lead PI. Dr. Michael R. Roman was named as substitute PI when Dr. Harding served as a Program Director in the NSF Biological Oceanography Program for two years, and through his move to UCLA thereafter. Dr. Harding is responsible for the data holdings on this project and for coordinating their submittal to BCO-DMO. |
| attribute | NC_GLOBAL | projects_0_end_date | String | 2013-09 |
| attribute | NC_GLOBAL | projects_0_geolocation | String | The two largest estuaries in the United States, Chesapeake Bay (CB) and Albemarle-Pamlico Sound- Neuse River Estuary (APS-NRE). |
| attribute | NC_GLOBAL | projects_0_name | String | Collaborative Research: Regulation of Phytoplankton Dynamics in Mid-Atlantic Estuaries Subject to Climatic Perturbations |
| attribute | NC_GLOBAL | projects_0_project_nid | String | 491333 |
| attribute | NC_GLOBAL | projects_0_project_website | String | http://paerllab.web.unc.edu/projects/modmon/
|
| attribute | NC_GLOBAL | projects_0_start_date | String | 2008-10 |
| 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 | 34.9489 |
| attribute | NC_GLOBAL | standard_name_vocabulary | String | CF Standard Name Table v55 |
| attribute | NC_GLOBAL | subsetVariables | String | Source,Pras,DV_chl_a |
| attribute | NC_GLOBAL | summary | String | The Neuse River Estuary Water Quality Dataset is a compilation of the biological, chemical and physical water quality data that was collected along the length of the Neuse River Estuary, NC from March 14, 1985 to February 15, 1989 and from January 24, 1994 to the present. The primary purpose of this dataset was to provide long-term environmental information to supplement experimental, process-based research, including the Atlantic Coast Environmental Indicators Consortium (ACE-INC) project as well as other laboratory studies. |
| attribute | NC_GLOBAL | title | String | [Neuse River Estuary WQ] - Biological, chemical, and physical water quality indicators of the Neuse River, North Carolina from 2008 through 2013 (Collaborative Research: Regulation of Phytoplankton Dynamics in Mid-Atlantic Estuaries Subject to Climatic Perturbations) |
| attribute | NC_GLOBAL | version | String | 1 |
| attribute | NC_GLOBAL | Westernmost_Easting | double | -77.1222 |
| attribute | NC_GLOBAL | xml_source | String | osprey2erddap.update_xml() v1.3 |
| variable | Date | String | ||
| attribute | Date | bcodmo_name | String | date |
| attribute | Date | description | String | Date of water sample collection ; filtration ; and in situ measurements. |
| attribute | Date | long_name | String | Date |
| attribute | Date | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ADATAA01/
|
| attribute | Date | time_precision | String | 1970-01-01 |
| attribute | Date | units | String | unitless |
| variable | Year | short | ||
| attribute | Year | _FillValue | short | 32767 |
| attribute | Year | actual_range | short | 2008, 2013 |
| attribute | Year | bcodmo_name | String | year |
| attribute | Year | description | String | Year of sampling |
| attribute | Year | long_name | String | Year |
| attribute | Year | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/YEARXXXX/
|
| attribute | Year | units | String | unitless |
| variable | Season | String | ||
| attribute | Season | bcodmo_name | String | season |
| attribute | Season | description | String | The season when the water sample was collected and filtered and when the in situ measurements were performed in the field. |
| attribute | Season | long_name | String | Season |
| attribute | Season | units | String | unitless |
| variable | Station | short | ||
| attribute | Station | _FillValue | short | 32767 |
| attribute | Station | actual_range | short | 0, 180 |
| attribute | Station | bcodmo_name | String | station |
| attribute | Station | description | String | The name of the fixed sampling station. |
| attribute | Station | long_name | String | Station |
| attribute | Station | units | String | unitless |
| variable | Source | String | ||
| attribute | Source | bcodmo_name | String | unknown |
| attribute | Source | description | String | The organization that conducted the sampling. |
| attribute | Source | long_name | String | Source |
| attribute | Source | units | String | unitless |
| variable | depth2 | String | ||
| attribute | depth2 | bcodmo_name | String | depth |
| attribute | depth2 | description | String | Depth level from which the water sample was collected and where the in situ measurements were made (S=surface ; B=bottom Surface (S) refers to a surface water sample or in situ measurement taken at a depth of approximately 0.2 meters. Bottom (B) refers to a bottom water sample or in situ measurement taken at a depth of approximately 0.5 meters above the sediment layer. Surface water samples were collected by submerging 10 liter high-density polyethylene containers just below the water surface or by filling the containers with surface water collected from bucket casts. Bottom water samples were collected with a horizontal plastic Van Dorn sampler. Starting December 2007 ; all samples collected with diaphragm pump and a weighted ; marked hose. All containers were kept in dark coolers at ambient temperature during transport to the laboratory. All filtration was done within a few hours of collection and when conditions permitted ; on board the research vessel. |
| attribute | depth2 | long_name | String | Depth |
| attribute | depth2 | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/DEPH/
|
| attribute | depth2 | standard_name | String | depth |
| attribute | depth2 | units | String | meters (m) |
| variable | YSI_Time | String | ||
| attribute | YSI_Time | bcodmo_name | String | time |
| attribute | YSI_Time | description | String | Exact time (hours:minutes:seconds) when the in situ measurements were made. This time is an approximate water sampling time. |
| attribute | YSI_Time | long_name | String | YSI Time |
| attribute | YSI_Time | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/AHMSAA01/
|
| attribute | YSI_Time | units | String | unitless |
| variable | depth | double | ||
| attribute | depth | _CoordinateAxisType | String | Height |
| attribute | depth | _CoordinateZisPositive | String | down |
| attribute | depth | _FillValue | double | NaN |
| attribute | depth | actual_range | double | 0.1, 7.501 |
| attribute | depth | axis | String | Z |
| attribute | depth | bcodmo_name | String | depth |
| attribute | depth | description | String | Exact depth (meters) where the in situ measurements were made. |
| attribute | depth | ioos_category | String | Location |
| attribute | depth | long_name | String | YSI Depth |
| attribute | depth | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P09/current/DEPH/
|
| attribute | depth | positive | String | down |
| attribute | depth | standard_name | String | depth |
| attribute | depth | units | String | m |
| variable | YSI_Temp | float | ||
| attribute | YSI_Temp | _FillValue | float | NaN |
| attribute | YSI_Temp | actual_range | float | 2.04, 33.69 |
| attribute | YSI_Temp | bcodmo_name | String | temperature |
| attribute | YSI_Temp | description | String | In situ water temperature |
| attribute | YSI_Temp | long_name | String | YSI Temp |
| attribute | YSI_Temp | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/TEMPP901/
|
| attribute | YSI_Temp | units | String | degrees Celsius |
| variable | YSI_SpecCond | float | ||
| attribute | YSI_SpecCond | _FillValue | float | NaN |
| attribute | YSI_SpecCond | actual_range | float | 0.081, 48.08 |
| attribute | YSI_SpecCond | bcodmo_name | String | conductivity |
| attribute | YSI_SpecCond | description | String | In situ specific conductivity |
| attribute | YSI_SpecCond | long_name | String | YSI Spec Cond |
| attribute | YSI_SpecCond | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P02/current/CNDC/
|
| attribute | YSI_SpecCond | units | String | milli Siemens per centimeter |
| variable | YSI_Salinity | float | ||
| attribute | YSI_Salinity | _FillValue | float | NaN |
| attribute | YSI_Salinity | actual_range | float | 0.04, 31.23 |
| attribute | YSI_Salinity | bcodmo_name | String | sal |
| attribute | YSI_Salinity | colorBarMaximum | double | 37.0 |
| attribute | YSI_Salinity | colorBarMinimum | double | 32.0 |
| attribute | YSI_Salinity | description | String | In situ salinity |
| attribute | YSI_Salinity | long_name | String | Sea Water Practical Salinity |
| attribute | YSI_Salinity | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/PSALST01/
|
| attribute | YSI_Salinity | units | String | parts per thousand |
| variable | YSI_DOsat | float | ||
| attribute | YSI_DOsat | _FillValue | float | NaN |
| attribute | YSI_DOsat | actual_range | float | 0.2, 165.2 |
| attribute | YSI_DOsat | bcodmo_name | String | O2_sat_pcnt |
| attribute | YSI_DOsat | description | String | In situ dissolved oxygen saturation |
| attribute | YSI_DOsat | long_name | String | YSI DOsat |
| attribute | YSI_DOsat | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/OXYSZZ01/
|
| attribute | YSI_DOsat | units | String | unitless (percent) |
| variable | YSI_DO | float | ||
| attribute | YSI_DO | _FillValue | float | NaN |
| attribute | YSI_DO | actual_range | float | 0.02, 16.11 |
| attribute | YSI_DO | bcodmo_name | String | dissolved Oxygen |
| attribute | YSI_DO | description | String | In situ dissolved oxygen concentration |
| attribute | YSI_DO | long_name | String | YSI DO |
| attribute | YSI_DO | units | String | milligrams per liter |
| variable | YSI_pH | float | ||
| attribute | YSI_pH | _FillValue | float | NaN |
| attribute | YSI_pH | actual_range | float | 5.83, 9.23 |
| attribute | YSI_pH | bcodmo_name | String | pH |
| attribute | YSI_pH | description | String | In situ pH. |
| attribute | YSI_pH | long_name | String | YSI P H |
| attribute | YSI_pH | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/PHXXZZXX/
|
| attribute | YSI_pH | units | String | unitless |
| variable | YSI_Turbidity | float | ||
| attribute | YSI_Turbidity | _FillValue | float | NaN |
| attribute | YSI_Turbidity | actual_range | float | 0.1, 96.2 |
| attribute | YSI_Turbidity | bcodmo_name | String | turbidity |
| attribute | YSI_Turbidity | description | String | In situ turbidity |
| attribute | YSI_Turbidity | long_name | String | YSI Turbidity |
| attribute | YSI_Turbidity | units | String | NTU |
| variable | YSI_Chlraw | float | ||
| attribute | YSI_Chlraw | _FillValue | float | NaN |
| attribute | YSI_Chlraw | actual_range | float | 0.1, 35.8 |
| attribute | YSI_Chlraw | bcodmo_name | String | chl_raw |
| attribute | YSI_Chlraw | description | String | In situ chlorophyll fluorescence |
| attribute | YSI_Chlraw | long_name | String | YSI Chlraw |
| attribute | YSI_Chlraw | units | String | relative fluorescence units |
| variable | YSI_Chl | float | ||
| attribute | YSI_Chl | _FillValue | float | NaN |
| attribute | YSI_Chl | actual_range | float | 0.3, 127.3 |
| attribute | YSI_Chl | bcodmo_name | String | fluorescence |
| attribute | YSI_Chl | description | String | In situ chlorophyll concentration from fluorescence |
| attribute | YSI_Chl | long_name | String | YSI Chl |
| attribute | YSI_Chl | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CPHLPM01/
|
| attribute | YSI_Chl | units | String | micrograms per liter |
| variable | YSI_BP | short | ||
| attribute | YSI_BP | _FillValue | short | 32767 |
| attribute | YSI_BP | actual_range | short | 753, 780 |
| attribute | YSI_BP | bcodmo_name | String | press_bar |
| attribute | YSI_BP | description | String | Surface barometric pressure |
| attribute | YSI_BP | long_name | String | YSI BP |
| attribute | YSI_BP | units | String | millimeters of mercury |
| variable | Secchi | float | ||
| attribute | Secchi | _FillValue | float | NaN |
| attribute | Secchi | actual_range | float | 0.25, 16.16 |
| attribute | Secchi | bcodmo_name | String | depth_secchi |
| attribute | Secchi | description | String | Depth at which the secchi disk is no longer visible |
| attribute | Secchi | long_name | String | Secchi |
| attribute | Secchi | units | String | meters |
| variable | Kd | float | ||
| attribute | Kd | _FillValue | float | NaN |
| attribute | Kd | actual_range | float | 0.476995, 5.647 |
| attribute | Kd | bcodmo_name | String | beam_cp |
| attribute | Kd | description | String | Diffuse light attenuation coefficient |
| attribute | Kd | long_name | String | KD |
| attribute | Kd | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ATTNZZ01/
|
| attribute | Kd | units | String | per meter |
| variable | Cdom_Corrected | float | ||
| attribute | Cdom_Corrected | _FillValue | float | NaN |
| attribute | Cdom_Corrected | actual_range | float | 21.8067, 207.515 |
| attribute | Cdom_Corrected | bcodmo_name | String | CDOM |
| attribute | Cdom_Corrected | description | String | Colored or chromophoric dissolved organic (matter humic substances) concentration as microgram per liter of quinine sulfate. |
| attribute | Cdom_Corrected | long_name | String | Cdom Corrected |
| attribute | Cdom_Corrected | units | String | microgram per liter of quinine sulfate. |
| variable | POC | float | ||
| attribute | POC | _FillValue | float | NaN |
| attribute | POC | actual_range | float | 18.15, 13653.3 |
| attribute | POC | bcodmo_name | String | POC |
| attribute | POC | description | String | Particulate organic carbon concentration |
| attribute | POC | long_name | String | Particulate Organic Carbon |
| attribute | POC | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CORGCAP1/
|
| attribute | POC | units | String | micrograms of carbon per liter |
| variable | PN | float | ||
| attribute | PN | _FillValue | float | NaN |
| attribute | PN | actual_range | float | 12.0, 2450.65 |
| attribute | PN | bcodmo_name | String | N |
| attribute | PN | description | String | Particulate nitrogen concentration |
| attribute | PN | long_name | String | PN |
| attribute | PN | units | String | micrograms of nitrogen per liter |
| variable | CtoN | float | ||
| attribute | CtoN | _FillValue | float | NaN |
| attribute | CtoN | actual_range | float | 0.412105, 112.576 |
| attribute | CtoN | bcodmo_name | String | C_to_N |
| attribute | CtoN | description | String | Calculated molar ratio of particulate organic carbon |
| attribute | CtoN | long_name | String | Cto N |
| attribute | CtoN | units | String | unitless |
| variable | DOC | float | ||
| attribute | DOC | _FillValue | float | NaN |
| attribute | DOC | actual_range | float | 232.6, 1841.95 |
| attribute | DOC | bcodmo_name | String | DOC |
| attribute | DOC | description | String | Dissolved organic carbon concentration |
| attribute | DOC | long_name | String | DOC |
| attribute | DOC | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CORGZZZX/
|
| attribute | DOC | units | String | micromolar |
| variable | DIC | float | ||
| attribute | DIC | _FillValue | float | NaN |
| attribute | DIC | actual_range | float | 1.976, 21.37 |
| attribute | DIC | bcodmo_name | String | DIC |
| attribute | DIC | description | String | Dissolved inorganic carbon concentration |
| attribute | DIC | long_name | String | DIC |
| attribute | DIC | units | String | milligrams of carbon per liter |
| variable | NO3_NO2 | float | ||
| attribute | NO3_NO2 | _FillValue | float | NaN |
| attribute | NO3_NO2 | actual_range | float | 0.267, 941.0 |
| attribute | NO3_NO2 | bcodmo_name | String | NO3_NO2 |
| attribute | NO3_NO2 | colorBarMaximum | double | 50.0 |
| attribute | NO3_NO2 | colorBarMinimum | double | 0.0 |
| attribute | NO3_NO2 | description | String | Nitrate plus nitrite concentration |
| attribute | NO3_NO2 | long_name | String | Mole Concentration Of Nitrate In Sea Water |
| attribute | NO3_NO2 | units | String | micrograms of nitrogen per liter |
| variable | NH4 | float | ||
| attribute | NH4 | _FillValue | float | NaN |
| attribute | NH4 | actual_range | float | 3.69, 1020.0 |
| attribute | NH4 | bcodmo_name | String | Ammonium |
| attribute | NH4 | colorBarMaximum | double | 5.0 |
| attribute | NH4 | colorBarMinimum | double | 0.0 |
| attribute | NH4 | description | String | Ammonium concentration |
| attribute | NH4 | long_name | String | Mole Concentration Of Ammonium In Sea Water |
| attribute | NH4 | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/AMONAAZX/
|
| attribute | NH4 | units | String | micrograms of nitrogen per liter |
| variable | DIN | float | ||
| attribute | DIN | _FillValue | float | NaN |
| attribute | DIN | actual_range | float | 3.69, 1021.06 |
| attribute | DIN | bcodmo_name | String | Dissolved Inorganic Nitrogen |
| attribute | DIN | description | String | Calculated dissolved inorganic nitrogen concentration |
| attribute | DIN | long_name | String | DIN |
| attribute | DIN | units | String | micrograms of nitrogen per liter |
| variable | TDN | float | ||
| attribute | TDN | _FillValue | float | NaN |
| attribute | TDN | actual_range | float | 37.6, 1650.0 |
| attribute | TDN | bcodmo_name | String | Total Dissolved Nitrogren |
| attribute | TDN | description | String | Total dissolved nitrogen concentration organic plus inorganic species |
| attribute | TDN | long_name | String | TDN |
| attribute | TDN | units | String | micrograms of nitrogen per liter |
| variable | DON | float | ||
| attribute | DON | _FillValue | float | NaN |
| attribute | DON | actual_range | float | -2222.0, 933.26 |
| attribute | DON | bcodmo_name | String | Dissolved Organic Nitrogen |
| attribute | DON | description | String | Calculated dissolved organic nitrogen concentration |
| attribute | DON | long_name | String | DON |
| attribute | DON | units | String | micrograms of nitrogen per liter |
| variable | PO4 | float | ||
| attribute | PO4 | _FillValue | float | NaN |
| attribute | PO4 | actual_range | float | 1.4, 766.0 |
| attribute | PO4 | bcodmo_name | String | PO4 |
| attribute | PO4 | description | String | Orthophosphate concentration |
| attribute | PO4 | long_name | String | Mass Concentration Of Phosphate In Sea Water |
| attribute | PO4 | units | String | micrograms of phosphorus per liter |
| variable | NtoP | float | ||
| attribute | NtoP | _FillValue | float | NaN |
| attribute | NtoP | actual_range | float | 0.0311301, 294.014 |
| attribute | NtoP | bcodmo_name | String | unknown |
| attribute | NtoP | description | String | The calculated molar ratio of nitrogen (N) to phosphorus (P) |
| attribute | NtoP | long_name | String | Nto P |
| attribute | NtoP | units | String | miligrams nitrogen per liter (mg N/L) |
| variable | SiO2 | float | ||
| attribute | SiO2 | _FillValue | float | NaN |
| attribute | SiO2 | actual_range | float | 1.2, 155.0 |
| attribute | SiO2 | bcodmo_name | String | silica |
| attribute | SiO2 | description | String | Silica concentration |
| attribute | SiO2 | long_name | String | Si O2 |
| attribute | SiO2 | units | String | micromolar |
| variable | Chla_IWS | float | ||
| attribute | Chla_IWS | _FillValue | float | NaN |
| attribute | Chla_IWS | actual_range | float | 0.4861, 232.71 |
| attribute | Chla_IWS | bcodmo_name | String | chlorophyll a |
| attribute | Chla_IWS | colorBarMaximum | double | 30.0 |
| attribute | Chla_IWS | colorBarMinimum | double | 0.03 |
| attribute | Chla_IWS | colorBarScale | String | Log |
| attribute | Chla_IWS | description | String | Chlorophyll a concentration measured by in vitro fluorometry (micrograms per liter) integrated throughout the water column to 2x the secchi depth. Water samples for this measurement were collected using the integrated water sampler IWS) which collects vertically integrated water samples. |
| attribute | Chla_IWS | long_name | String | Concentration Of Chlorophyll In Sea Water |
| attribute | Chla_IWS | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/
|
| attribute | Chla_IWS | units | String | micrograms per liter |
| variable | Correct_Chla_IV | float | ||
| attribute | Correct_Chla_IV | _FillValue | float | NaN |
| attribute | Correct_Chla_IV | actual_range | float | 0.255, 304.36 |
| attribute | Correct_Chla_IV | bcodmo_name | String | chlorophyll a |
| attribute | Correct_Chla_IV | colorBarMaximum | double | 30.0 |
| attribute | Correct_Chla_IV | colorBarMinimum | double | 0.03 |
| attribute | Correct_Chla_IV | colorBarScale | String | Log |
| attribute | Correct_Chla_IV | description | String | Chlorophyll a concentration measured by in vitro fluorometry |
| attribute | Correct_Chla_IV | long_name | String | Concentration Of Chlorophyll In Sea Water |
| attribute | Correct_Chla_IV | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CPHLHPP1/
|
| attribute | Correct_Chla_IV | units | String | micrograms per liter |
| variable | PPR | float | ||
| attribute | PPR | _FillValue | float | NaN |
| attribute | PPR | actual_range | float | 0.922585, 329.767 |
| attribute | PPR | bcodmo_name | String | Primary Production |
| attribute | PPR | description | String | Primary productivity by light/dark 14C bicarbonate incorporation |
| attribute | PPR | long_name | String | PPR |
| attribute | PPR | units | String | milligrams of C per meter cubed per hour |
| variable | Chlide_a | float | ||
| attribute | Chlide_a | _FillValue | float | NaN |
| attribute | Chlide_a | actual_range | float | 0.0195137, 16.9075 |
| attribute | Chlide_a | bcodmo_name | String | chlide_a |
| attribute | Chlide_a | description | String | Chlorophyllide a concentration by HPLC analysis |
| attribute | Chlide_a | long_name | String | Chlide A |
| attribute | Chlide_a | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/CIDAHPP1/
|
| attribute | Chlide_a | units | String | micrograms per liter |
| variable | Chl_c1c2 | float | ||
| attribute | Chl_c1c2 | _FillValue | float | NaN |
| attribute | Chl_c1c2 | actual_range | float | 0.00175097, 17.2613 |
| attribute | Chl_c1c2 | bcodmo_name | String | chl_a_tot |
| attribute | Chl_c1c2 | description | String | Chlorophyll c1 and c2 concentration by HPLC analysis |
| attribute | Chl_c1c2 | long_name | String | CHL C1C2 |
| attribute | Chl_c1c2 | units | String | micrograms per liter |
| variable | Perid_corr | float | ||
| attribute | Perid_corr | _FillValue | float | NaN |
| attribute | Perid_corr | actual_range | float | 0.00607597, 45.0129 |
| attribute | Perid_corr | bcodmo_name | String | peridinin |
| attribute | Perid_corr | description | String | Peridinin concentration by HPLC analysis |
| attribute | Perid_corr | long_name | String | Perid Corr |
| attribute | Perid_corr | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/PERIHPP1/
|
| attribute | Perid_corr | units | String | micrograms per liter |
| variable | But_fuco | float | ||
| attribute | But_fuco | _FillValue | float | NaN |
| attribute | But_fuco | actual_range | float | 0.00419799, 0.998646 |
| attribute | But_fuco | bcodmo_name | String | fucox_but |
| attribute | But_fuco | description | String | 19'-Butanoyloxyfucoxanthin concentration by HPLC analysis |
| attribute | But_fuco | long_name | String | But Fuco |
| attribute | But_fuco | units | String | micrograms per liter |
| variable | Phide_a | float | ||
| attribute | Phide_a | _FillValue | float | NaN |
| attribute | Phide_a | actual_range | float | 0.0401498, 2.52855 |
| attribute | Phide_a | bcodmo_name | String | pheophorbide a |
| attribute | Phide_a | description | String | Pheophorbide-a concentration by HPLC analysis |
| attribute | Phide_a | long_name | String | Phide A |
| attribute | Phide_a | units | String | micrograms per liter |
| variable | Fuco_corr | float | ||
| attribute | Fuco_corr | _FillValue | float | NaN |
| attribute | Fuco_corr | actual_range | float | 0.0127858, 46.5159 |
| attribute | Fuco_corr | bcodmo_name | String | fucox |
| attribute | Fuco_corr | description | String | Fucoxanthin concentration by HPLC analysis |
| attribute | Fuco_corr | long_name | String | Fuco Corr |
| attribute | Fuco_corr | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/FUCXHPP1/
|
| attribute | Fuco_corr | units | String | micrograms per liter |
| variable | Hex_fuco | float | ||
| attribute | Hex_fuco | _FillValue | float | NaN |
| attribute | Hex_fuco | actual_range | float | 0.00155939, 2.40154 |
| attribute | Hex_fuco | bcodmo_name | String | fucox_hex |
| attribute | Hex_fuco | description | String | 19'-Hexanoyloxyfucoxanthin concentration by HPLC analysis |
| attribute | Hex_fuco | long_name | String | Hex Fuco |
| attribute | Hex_fuco | units | String | micrograms per liter |
| variable | Neo | float | ||
| attribute | Neo | _FillValue | float | NaN |
| attribute | Neo | actual_range | float | 0.00487421, 0.832047 |
| attribute | Neo | bcodmo_name | String | neox |
| attribute | Neo | description | String | 9'-cis Neoxanthin concentration by HPLC analysis |
| attribute | Neo | long_name | String | Neo |
| attribute | Neo | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/NEOXHPP1/
|
| attribute | Neo | units | String | micrograms per liter |
| variable | Pras | double | ||
| attribute | Pras | _FillValue | double | NaN |
| attribute | Pras | bcodmo_name | String | prasinox |
| attribute | Pras | description | String | Prasinoxanthin concentration by HPLC analysis |
| attribute | Pras | long_name | String | Pras |
| attribute | Pras | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/PRSXHPP1/
|
| attribute | Pras | units | String | micrograms per liter |
| variable | Viola | float | ||
| attribute | Viola | _FillValue | float | NaN |
| attribute | Viola | actual_range | float | 0.00171185, 27.0399 |
| attribute | Viola | bcodmo_name | String | violax |
| attribute | Viola | description | String | Violaxanthin concentration by HPLC analysis |
| attribute | Viola | long_name | String | Viola |
| attribute | Viola | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/VILXHPP1/
|
| attribute | Viola | units | String | micrograms per liter |
| variable | Diadino | float | ||
| attribute | Diadino | _FillValue | float | NaN |
| attribute | Diadino | actual_range | float | 0.00466996, 20.9497 |
| attribute | Diadino | bcodmo_name | String | diadinox |
| attribute | Diadino | description | String | Diadinoxanthin concentration by HPLC analysis |
| attribute | Diadino | long_name | String | Diadino |
| attribute | Diadino | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/DIADHPP1/
|
| attribute | Diadino | units | String | micrograms per liter |
| variable | Anth | float | ||
| attribute | Anth | _FillValue | float | NaN |
| attribute | Anth | actual_range | float | 0.00627465, 1.08513 |
| attribute | Anth | bcodmo_name | String | antherax |
| attribute | Anth | description | String | Antheraxanthin concentration by HPLC analysis |
| attribute | Anth | long_name | String | Anth |
| attribute | Anth | units | String | micrograms per liter |
| variable | Myxo | float | ||
| attribute | Myxo | _FillValue | float | NaN |
| attribute | Myxo | actual_range | float | 0.0357131, 0.623307 |
| attribute | Myxo | bcodmo_name | String | unknown |
| attribute | Myxo | description | String | Myxoxanthophyll concentration by HPLC analysis |
| attribute | Myxo | long_name | String | Myxo |
| attribute | Myxo | units | String | micrograms per liter |
| variable | Allo_corr | float | ||
| attribute | Allo_corr | _FillValue | float | NaN |
| attribute | Allo_corr | actual_range | float | 0.00763655, 4.34151 |
| attribute | Allo_corr | bcodmo_name | String | allox |
| attribute | Allo_corr | description | String | Alloxanthin concentration by HPLC analysis |
| attribute | Allo_corr | long_name | String | Allo Corr |
| attribute | Allo_corr | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ALLOHPP1/
|
| attribute | Allo_corr | units | String | micrograms per liter |
| variable | Diato | float | ||
| attribute | Diato | _FillValue | float | NaN |
| attribute | Diato | actual_range | float | 0.00156188, 3.22123 |
| attribute | Diato | bcodmo_name | String | diatox |
| attribute | Diato | description | String | Diatoxanthin concentration by HPLC analysis |
| attribute | Diato | long_name | String | Diato |
| attribute | Diato | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/DIATHPP1/
|
| attribute | Diato | units | String | micrograms per liter |
| variable | Monado | float | ||
| attribute | Monado | _FillValue | float | NaN |
| attribute | Monado | actual_range | float | 0.0190179, 0.0959401 |
| attribute | Monado | bcodmo_name | String | monadoxanthin |
| attribute | Monado | description | String | Monadoxanthin concentration by HPLC analysis |
| attribute | Monado | long_name | String | Monado |
| attribute | Monado | units | String | micrograms per liter |
| variable | Lut | float | ||
| attribute | Lut | _FillValue | float | NaN |
| attribute | Lut | actual_range | float | 0.00680866, 1.77405 |
| attribute | Lut | bcodmo_name | String | lutein |
| attribute | Lut | description | String | Lutein concentration by HPLC analysis |
| attribute | Lut | long_name | String | Lut |
| attribute | Lut | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/LUTNHPP1/
|
| attribute | Lut | units | String | micrograms per liter |
| variable | Zea_corr | float | ||
| attribute | Zea_corr | _FillValue | float | NaN |
| attribute | Zea_corr | actual_range | float | 0.00927789, 5.3182 |
| attribute | Zea_corr | bcodmo_name | String | zeax |
| attribute | Zea_corr | description | String | Zeaxanthin concentration by HPLC analysis |
| attribute | Zea_corr | long_name | String | Zea Corr |
| attribute | Zea_corr | nerc_identifier | String | https://vocab.nerc.ac.uk/collection/P01/current/ZEOXHPP1/
|
| attribute | Zea_corr | units | String | micrograms per liter |
| variable | Gyro | float | ||
| attribute | Gyro | _FillValue | float | NaN |
| attribute | Gyro | actual_range | float | 0.00295617, 0.665704 |
| attribute | Gyro | bcodmo_name | String | Gyroxanthin-Diester |
| attribute | Gyro | description | String | Gyroxanthin concentration by HPLC analysis |
| attribute | Gyro | long_name | String | Gyro |
| attribute | Gyro | units | String | micrograms per liter |
| variable | Cantha | float | ||
| attribute | Cantha | _FillValue | float | NaN |
| attribute | Cantha | actual_range | float | 0.00265245, 0.257283 |
| attribute | Cantha | bcodmo_name | String | unknown |