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pH, WATER TEMPERATURE, and others in Coastal Waters of Texas from 2018-10-25 to 2020-03-16 (NCEI Accession 0229071)


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      DateTime:  2024-03-14T18:39:30Z
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            title:  pH, WATER TEMPERATURE, and others in Coastal Waters of Texas from 2018-10-25 to 2020-03-16 (NCEI Accession 0229071)
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                date:  2021-06-09
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                  Anchor:  NCEI Dataset ID gov.noaa.nodc:0229071
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                  Anchor:  NCEI Accession ID 0229071
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1738 Texas A&M University - Corpus Christi (TAMU - Corpus Christi)
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                individualName:  Lydia Hayes
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                individualName:  Lauren Williams
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                individualName:  Lin Zhang
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1738 Texas A&M University - Corpus Christi (TAMU - Corpus Christi)
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1738 Texas A&M University Corpus Christi
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                individualName:  Williams, Lauren
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1738 Texas A&M University Corpus Christi
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        abstract:  This dataset includes a variety of environmental variables from surface water of five wetland sites (three natural and two restored), and the effluent of three wastewater treatment plants. Potential denitrification rates were also measured in the surface sediments of the five wetlands from the Texas Coastal Bend. The data was collected over a course of 18 months from late 2018 to early 2020. The variables include pH, water temperature (°C), salinity (psu), dissolved oxygen (mg/L), nitrate, nitrite, and ammonium concentrations (µM), d15N-NH4, d15N-NO3, d15N-NO2 (per mille), dissolved N2O, CO2, and CH4 (µM), and potential denitrification rates from wetland sediments (kg N·ha^-2·yr^-1).
        purpose:  This dataset is available to the public for a wide variety of uses including scientific research and analysis.
        credit:  Texas General Land Office Coastal Management Program
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              Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/datatype/details/116 DISSOLVED OXYGEN
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            keyword:  Ammonium Concentration
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            otherConstraints:  Cite as: Hayes, Lydia; Williams, Lauren; Zhang, Lin (2021). pH, WATER TEMPERATURE, and others in Coastal Waters of Texas from 2018-10-25 to 2020-03-16 (NCEI Accession 0229071). [indicate subset used]. NOAA National Centers for Environmental Information. Dataset. https://www.ncei.noaa.gov/archive/accession/0229071. Accessed [date].
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                    beginPosition:  2018-10-25
                    endPosition:  2020-03-16
        supplementalInformation:  Submission Package ID: B2CUPW
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                    linkage: ftp://ftp-oceans.ncei.noaa.gov/nodc/archive/arc0180/0229071/
                    protocol:  FTP
                    applicationProfile:  Any FTP client
                    name:  FTP
                    description:  These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP).
                    function:  (CI_OnLineFunctionCode) download
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        lineage:  (LI_Lineage)
            processStep:  (LE_ProcessStep)
                description:  NCEI Accession 0229071 v1.1 was published.
                dateTime:
                  DateTime:  2021-06-09T15:25:09Z
                output:  (LE_Source)
                    sourceCitation:  (CI_Citation)
                        title:  NCEI Accession 0229071 v1.1
                        date:  (CI_Date)
                            date: (inapplicable)
                            dateType:  (CI_DateTypeCode) publication
                        citedResponsibleParty:  (CI_ResponsibleParty)
                            individualName: (inapplicable)
                            contactInfo:  (CI_Contact)
                                onlineResource:  (CI_OnlineResource)
                                    linkage: https://www.ncei.noaa.gov/archive/accession/0229071/1.1
                                    protocol:  HTTPS
                                    name:  NCEI Accession 0229071 v1.1
                                    description:  published 2021-06-09T15:25:09Z
                                    function:  (CI_OnLineFunctionCode) download
                            role: (inapplicable)
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    dataQualityInfo:  (DQ_DataQuality)
        scope:  (DQ_Scope)
            level:  (MD_ScopeCode) dataset
        lineage:  (LI_Lineage)
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: pH (measured); Units: pH; Observation Category: in situ; Sampling Instrument: pH sensors.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: WATER TEMPERATURE (measured); Units: degrees Celsius; Observation Category: in situ; Sampling Instrument: temperature probe.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: SALINITY - SURFACE WATER (measured); Units: psu; Observation Category: in situ; Sampling Instrument: salinity/ conductivity meter.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: DISSOLVED OXYGEN (measured); Units: mg/L; Observation Category: in situ; Sampling Instrument: dissolved oxygen probe.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Nitrate Concentration (measured); Units: µM; Observation Category: laboratory analysis; Sampling Instrument: nutrient autoanalyzer; Sampling and Analyzing Method: SEAL AQ300 autosampler uses method EPA-126-D Rev to measure NO3+NO2, and then measured NO2 is subtracted to yield NO3 concentration..
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Nitrite Concentration (measured); Units: µM; Observation Category: laboratory analysis; Sampling Instrument: nutrient autoanalyzer; Sampling and Analyzing Method: SEAL AQ300 uses method EPA-115-D Rev A to measure NO2 concentration.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Ammonium Concentration (measured); Units: µM; Observation Category: laboratory analysis; Sampling Instrument: nutrient autoanalyzer; Sampling and Analyzing Method: SEAL AQ300 uses method EPA-148-D Rev 0 to measure ammonium.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: dissolved nitrous oxide (measured); Units: µM; Observation Category: laboratory analysis; Sampling Instrument: gas chromatograph; Sampling and Analyzing Method: Vacuum evacuated serum bottles containing dissolved gas samples were injected with helium to balance, 2 mL of headspace gas from the vial were injected into the GC. Dissolved gas concentrations were then calculated using their solubility constants, the analytical temperature and pressure, and calibration curves derived from standard gas mixtures (Hudson 2004; Osburn et al., 2014; Helton et al., 2014; Brazelton et al., 2017)..
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: dissolved carbon dioxide (measured); Units: µM; Observation Category: laboratory analysis; Sampling Instrument: gas chromatograph; Sampling and Analyzing Method: Vacuum evacuated serum bottles containing dissolved gas samples were injected with helium to balance, 2 mL of headspace gas from the vial were injected into the GC. Dissolved gas concentrations were then calculated using their solubility constants, the analytical temperature and pressure, and calibration curves derived from standard gas mixtures (Hudson 2004; Osburn et al., 2014; Helton et al., 2014; Brazelton et al., 2017)..
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: dissolve methane (measured); Units: µM; Observation Category: laboratory analysis; Sampling Instrument: gas chromatograph; Sampling and Analyzing Method: Vacuum evacuated serum bottles containing dissolved gas samples were injected with helium to balance, 2 mL of headspace gas from the vial were injected into the GC. Dissolved gas concentrations were then calculated using their solubility constants, the analytical temperature and pressure, and calibration curves derived from standard gas mixtures (Hudson 2004; Osburn et al., 2014; Helton et al., 2014; Brazelton et al., 2017)..
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: δ15N-NH4 (measured); Units: per mille; Observation Category: laboratory analysis; Sampling Instrument: Purge and Trap IRMS; Sampling and Analyzing Method: NH4 isotope samples are prepared for analysis using the hypobromite oxidation method (Zhang et al., 2007) to oxidize to NO2, and then are reduced to N2O using the azide method (McIlvin and Altabet 2005) and analyzed on PT-IRMS..
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: δ15N-NO3 (measured); Units: per mille; Observation Category: laboratory analysis; Sampling Instrument: Purge and Trap IRMS; Sampling and Analyzing Method: NO3 isotope samples are prepared for analysis by reducing NO3 to NO2 using Cd reduction, and then are reduced to N2O using the azide method (McIlvin and Altabet 2005) and analyzed on PT-IRMS..
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: δ15N-NO2 (measured); Units: per mille; Observation Category: laboratory analysis; Sampling Instrument: Purge and Trap IRMS; Sampling and Analyzing Method: NO2 isotope samples are reduced to N2O using the azide method (McIlvin and Altabet 2005) and analyzed on PT-IRMS..
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Potential Denitrification Rate (calculated); Units: kg N·ha^-2·yr^-1; Observation Category: laboratory analysis; Sampling Instrument: Gas Chromatograph; Sampling and Analyzing Method: Potential denitrification was measured using the acetylene blocking method (Groffman and Tiedje 1989). Bulk sediments in a slurry were mixed in a serum bottle and sealed, then treated with the addition of wastewater high in nitrate and acetylene gas. Headspace was measured on the GC fixed with an ECD using 2 mL injections. The production of N2O was measured once per hour for six hours. Denitrification rates were calculated by the rate of N2O accumulation over time (Groffman and Tiedje 1989). Rates were corrected using Henry’s Law Constant for N2O for dissolved gas in the aqueous layer in the serum bottle (Sander 1999; Lindau et al., 2008). The rate of denitrification was then converted to kg N·ha-2·yr-1 using the equation from Rolston (1986) and Lindau et al. (2008).
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    metadataMaintenance:  (MD_MaintenanceInformation)
        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        maintenanceNote:  Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
        contact:  (CI_ResponsibleParty)
            organisationName:  NOAA National Centers for Environmental Information
            role:  (CI_RoleCode) custodian
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    acquisitionInformation:  (MI_AcquisitionInformation)
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  conductivity sensor
            type:  conductivity sensor
            description:  OMEGA non-contact conductivity sensor CDCN-108 or Honeywell DirectLine DL423 Sensor Module, for example Water conductivity sensors are used to measure how well a solution conducts an electrical current.
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  nutrient autoanalyzer
            type:  nutrient autoanalyzer
            description:  Laboratory Instrument Nutrient Autoanalyzer is a generic term describing an automated flow-thru system used to conduct analyses of several different nutrients (nitrate, ammonium, orthophosphate, and silicate) simultaneously from a seawater sample. For example: SEAL AutoAnalyzer 3 HR Continuous Segmented Flow Analyzer
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  pH sensor
            type:  pH sensor
            description:  generic meter used to measure pH Any of a class of instruments used to quantify pH in a water or other type of sample.
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  temperature probe
            type:  temperature probe
            description:  For example, OMEGA temperature probe PR-11-2-100-1/8-6-e Vaisala HUMICAP® Humidity and Temperature Probe HMP155