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  • PANGAEA  (8)
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  • 1
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    PANGAEA
    In:  Supplement to: Lehmann, Nadine; Granger, Julie; Kienast, Markus; Brown, Kevin S; Rafter, Patrick A; Martínez Méndez, Gema; Mohtadi, Mahyar (2018): Isotopic evidence for the evolution of subsurface nitrate in the Western Equatorial Pacific. Journal of Geophysical Research: Oceans, 123(3), 1684-1707, https://doi.org/10.1002/2017JC013527
    Publication Date: 2023-03-03
    Description: Subsurface waters from both hemispheres converge in the Western Equatorial Pacific (WEP), some of which form the Equatorial Undercurrent (EUC) that influences equatorial Pacific productivity across the basin. Measurements of nitrogen (N) and oxygen (O) isotope ratios in nitrate (d15N-NO3 and d18O-NO3), the isotope ratios of dissolved inorganic carbon (d13C-DIC), and complementary biogeochemical tracers reveal that northern and southern WEP waters have distinct biogeochemical histories. Organic matter remineralization plays an important role in setting the nutrient characteristics on both sides of the WEP. However, remineralization in the northern WEP contributes a larger concentration of the nutrients, consistent with the older "age" of northern thermocline- and intermediate-depth waters. Remineralization introduces a relatively low d15N-NO3 to northern waters, suggesting the production of sinking organic matter by N2 fixation at the surface - consistent with the notion that N2 fixation is quantitatively important in the North Pacific. In contrast, remineralization contributes elevated d15N-NO3 to the southern WEP thermocline, which we hypothesize to derive from the vertical flux of high-d15N material at the southern edge of the equatorial upwelling. This signal potentially masks any imprint of N2 fixation from South Pacific waters. The observations further suggest that the intrusion of high d15N-NO3 and d18O-NO3 waters from the eastern margins is more prominent in the northern than southern WEP. Together, these north-south differences enable the examination of the hemispheric inputs to the EUC, which appear to derive predominantly from southern hemisphere waters.
    Keywords: Center for Marine Environmental Sciences; CTD/Rosette; CTD-RO; Date/Time of event; Density, mass density; Density, sigma-theta (0); DEPTH, water; Difference; EISPAC/WESTWIND; Elevation of event; Event label; GeoB17401-1; GeoB17403-1; GeoB17404-1; GeoB17407-1; GeoB17412-1; GeoB17413-2; GeoB17417-1; GeoB17420-1; GeoB17424-1; GeoB17426-1; GeoB17428-2; GeoB17432-1; GeoB17433-1; GeoB17434-1; GeoB17436-2; Latitude of event; Longitude of event; MARUM; Nitrate; Oxygen; Oxygen saturation; Phosphate; Pressure, water; Salinity; Silicate; SO228; Sonne; Temperature, water; δ13C, dissolved inorganic carbon; δ13C, dissolved inorganic carbon, standard deviation; δ15N, nitrate; δ15N, nitrate, standard deviation; δ18O, nitrate; δ18O, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 88998 data points
    Location Call Number Expected Availability
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  • 2
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    PANGAEA
    In:  Supplement to: Granger, Julie; Boshers, Danielle S; Böhlke, John Karl; Yu, Dan; Chen, Nengwang; Tobias, Craig R (2020): The influence of sample matrix on the accuracy of nitrite N and O isotope ratio analyses with the azide method. Rapid Communications in Mass Spectrometry, 34(1), https://doi.org/10.1002/rcm.8569
    Publication Date: 2023-01-30
    Description: Experiments demonstrating matrix effects (sample salinity and pH) on nitrite N and O isotope ratio measurements with the azide method of McIlvin and Altabet (2005, doi:10.1021/ac050528s).
    Keywords: ammonium; azide method; hypobromite-azide; isotope ratios; nitrite
    Type: Dataset
    Format: application/zip, 34.6 kBytes
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  • 3
    Publication Date: 2023-10-05
    Description: The cyclic growth and decay of continental ice sheets can be reconstructed from the history of global sea level. Sea level is relatively well-constrained for the Last Glacial Maximum (LGM, 26,500-19,000 years ago, 26.5-19 ka) and the ensuing deglaciation. However, sea-level estimates for the period of ice-sheet growth before the LGM vary by 〉 60 m, an uncertainty comparable to the sea-level equivalent of the contemporary Antarctic Ice Sheet. Here we constrain sea level prior to the LGM by reconstructing the flooding history of the shallow Bering Strait since 46 ka. Our data constraint on Bering Strait flooding are nitrogen isotope measurements in organic matter bound in the planktonic foraminifer Neogloboquadrina pachyderma from four sediment cores in the Arctic Ocean, dating back to ~50,000 years before present. These data extend the previous measurements of Farmer et al., 2021 (https://doi.org/10.1038/s41561-021-00789-y). We additionally provide new Bayesian age-depth models for each sediment core based on existing radiocarbon (14C) measurements on N. pachyderma. The nitrogen isotope data are compared with a suite of reconstructions of global mean sea-level and relative sea level at the Bering Strait from glacial isostatic adjustment modeling covering the last 120,000 years.
    Keywords: foraminiferal geochemistry; Glacial Isostatic Adjustment (GIA) model; nitrogen isotope; Radiocarbon chronology; sea level
    Type: Dataset
    Format: application/zip, 3 datasets
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  • 4
    Publication Date: 2023-10-05
    Keywords: AGE; Age, maximum/old; Age, minimum/young; Age model, Bayesian; AOS94; AOS94_B08; AOS94_B12A; AOS94_B17; AOS94_B28; Arctic Ocean; BC; Box corer; DEPTH, sediment/rock; Event label; foraminiferal geochemistry; Glacial Isostatic Adjustment (GIA) model; Lomonosov Ridge, Arctic Ocean; Louis S. St-Laurent; Mendeleev Ridge, Arctic Ocean; nitrogen isotope; Radiocarbon chronology; sea level
    Type: Dataset
    Format: text/tab-separated-values, 484 data points
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  • 5
    Publication Date: 2023-10-05
    Keywords: Binary Object; File content; foraminiferal geochemistry; Glacial Isostatic Adjustment (GIA) model; nitrogen isotope; Radiocarbon chronology; sea level
    Type: Dataset
    Format: text/tab-separated-values, 8 data points
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  • 6
    Publication Date: 2023-10-05
    Keywords: AGE; Age, maximum/old; Age, minimum/young; Age model, Bayesian; AOS94; AOS94_B08; AOS94_B12A; AOS94_B17; AOS94_B28; Arctic Ocean; BC; Box corer; calculated, 1 sigma; DEPTH, sediment/rock; Event label; foraminiferal geochemistry; Glacial Isostatic Adjustment (GIA) model; Lomonosov Ridge, Arctic Ocean; Louis S. St-Laurent; Mendeleev Ridge, Arctic Ocean; Neogloboquadrina pachyderma, δ15N; Neogloboquadrina pachyderma, δ15N, standard deviation; Nitrogen, foraminifera-bound organic matter; nitrogen isotope; Radiocarbon chronology; sea level
    Type: Dataset
    Format: text/tab-separated-values, 523 data points
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  • 7
    Publication Date: 2024-02-03
    Description: The database for nitrate concentrations and nitrate δ15N includes new data and most of the measurements that have been published to date. This database also includes most of the nitrate δ15N measurements in the database of Rafter et al. (2019; Biogeosciences 16, 2617-2633; https://doi.org/10.5194/bg-16-2617-2019). It consists of 944 stations with 15300 measurements of nitrate δ15N. All data are uploaded, except the GOSHIP P2 and P6 sections for which we report average profiles vs. depth. Full data sets for these sections will be included upon publication in a follow-up version.
    Keywords: Comment; Cruise/expedition; DEPTH, water; Identification; LATITUDE; LONGITUDE; nitrate; Nitrate; nitrogen isotopes; ocean; Reference/source; Time Stamp; Vessel; δ15N, nitrate
    Type: Dataset
    Format: text/tab-separated-values, 100052 data points
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  • 8
    Publication Date: 2024-03-22
    Description: Data collection occurred in four parts during 2018 to 2019 for the Pawcatuck River: weekly collection from the Stillman and Westerly Bridges in Westerly, RI; collections were also taken seasonally from various bridges in a transect from head of the Pawcatuck River at Warden Pond to Westerly, RI; rain water was collected at UConn Avery Point - Groton, CT; and wastewater data reported by Westerly Wastewater Facility (which was corroborated in house at UConn Avery Point). Standard data collected was nutrient concentrations of nitrate, nitrite, ammonium, and phosphate. Total dissolved nitrogen, particulate nitrogen, and chlorophyll-a were also collected and measured. Our study utilized stable isotopes of nitrate and particulate nitrogen with the intent of tracking sources, cycling, and loading along the river. We focused on δ15N-NO3, δ18O-NO3, δ17O-NO3, and δ15N-PN. Through collection of rainwater at UConn Avery Point, percent atmospheric deposition of river samples based on the mass independent fractionation between δ17O and δ18O was calculated. Loading was calculated for each nutrient source based on collected data and river discharge reported from the USGS.
    Keywords: 15N; 18O; Ammonium; Ammonium, loading; Atmospheric deposition; Bottle, Van Dorn; Calculated; Calculated (sum of Nitrate, Nitrite, Ammonium); Chlorophyll a; Comment; Conductivity; Conversion to NOx with a hot Vanadium II solution followed by detection on a Teledyne chemiluminescent NOx detector (Braman and Hedrix 1989); DATE/TIME; Discharge; Dissolved oxygen optical probe (Orion Star); Distance; Element analyser CHN, Costech; Event label; Gauge station; GS; Inverse of Nitrate, flux; Mac_Rain_Rainwater; N Isotopes; nitrate; Nitrate; Nitrate, loading; nitrogen; Nitrogen, inorganic, dissolved; Nitrogen, inorganic, dissolved, loading; Nitrogen, organic, dissolved; Nitrogen, organic, dissolved, loading; Nitrogen, particulate; Nitrogen, total; Nitrogen, total, loading; Nitrogen, total, particulate, loading; Nitrogen, total dissolved, loading; Oakton Con 450; Oxygen, dissolved; Pawcatuck River; Pawcatuck-Seasonal_Transect; Pawcatuck-Weekly_Stillman_Bridge; Pawcatuck-Weekly_Westerly_Bridge; Persulfate oxidation and colorimetry; Phosphate; Phosphate, loading; Pigments, Turner fluorometer; Present weather; River discharge, daily; Sample ID; Sample position; Sample volume; Smartchem analyser (spectrophotometric detection); Temperature, water; Thermo Delta V GC-IRMS with custom modified Gas Bench II with two cold traps and a PAL Autosampler (Sigman et al. 2001; Casciotti et al, 2002; Kaiser et al., 2007); VDB; WC_Wastewater; Δ17O, nitrate; Δ17O=δ17O-0.52 x δ18O (Thiemens 1999); δ15N, nitrate; δ15N, nitrate, standard deviation; δ15N, total particulate nitrogen; δ18O; δ18O, nitrate; δ18O, nitrate, standard deviation
    Type: Dataset
    Format: text/tab-separated-values, 5241 data points
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