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929 results for “nitrate”
Groundwater nitrate concentrations in wells located at the shoreline of West Falmouth Harbor from 2006 to 2023
West Falmouth Harbor (West Falmouth, MA, USA) has been experiencing a dramatic increase in nitrogen loading from an upgradient municipal wastewater treatment facility since the early 2000's. As part of a long-term study into the effects of this nitrogen enrichment, we have been measuring groundwater chemistry in wells installed along the shoreline of the harbor to monitor the spatial and temporal patterns in N loading. Water samples were collected approximately annually from 2006 through 2009, and less frequently in subsequent years, and processed for nitrate + nitrite. Full analysis details are available in Hayn et al. 2025 in Estuaries and Coasts (doi: 10.1007/s12237-025-01630-0).
Lotic Intersite Nitrogen eXperiment II (LINX II): a cross-site study of the effects of anthropogenic land use change on nitrate uptake and retention in 72 streams across 8 different biomes (2003 – 2006).
The LINX II (Lotic Intersite Nitrogen eXperiment) project was designed to quantify the rates and mechanisms of nitrate retention in streams using stable isotope tracer additions. The study encompassed 72 stream reaches spread across 8 North American biomes. Within each biome, 9 streams were selected in three watershed land-use categories: 3 reference, 3 agricultural, and 3 urbanized. The core of the study was a 24-hour release of 15N- labeled nitrate. Prior to the isotope addition, physical, chemical and biological characteristics of the stream were measured. The measurements included, but were not limited to, dissolved nutrient concentrations, dissolved conservative tracer additions (to quantify hydraulic and hyporheic retention, velocity and discharge), standing stocks of primary uptake biota (including suspended and benthic particulate materials) as well as channel dimensions, photosynthetically active radiation, and water temperature. During the isotope release, whole stream rates of ecosystem metabolism were quantified (including quantification of re-aeration coefficients using tracer gas additions), and concentrations of 15N-labeled NO3, NH4, N2 and N2O were measured. Immediately following the isotope addition, 15N uptake by aquatic organisms was quantified by sampling biomass components on the stream bed. The data generated from these 72 stream reaches were used to develop a stream nitrogen retention model for each biome, which was expanded to entire drainage networks to predict nitrogen fluxes. The LINX II study demonstrated how biotic uptake of nitrate and denitrification increased with increasing nitrate concentrations. However, the efficiency of total uptake and denitrification actually declined with increasing nitrate concentrations (such as those seen on agricultural or urbanized streams), yielding higher rates of dissolved nitrogen exports downstream. The datasets presented here consist of the primary data collected by the LINX II study participants.
Measurements from CalCOFI cruises in the California Current System, including log of station information, weather, sea conditions as well as physical, chemical and biological measurements including including temperature, salinity, oxygen, density, sigma theta, phosphate, silicate, nitrite, nitrate, ammonia, chlorophyll a, integrated chlorophyll a, primary productivity, and integrated primary production. 1949 - January 2020
Since 1949, hydrographic and biological data of the California Current System have been collected on quarterly CalCOFI cruises. The 59+ year hydrographic time-series includes weather, temperature, salinity, oxygen and phosphate observations. In 1961, nutrient analysis expanded to include silicate, nitrate and nitrite; in 1973, chlorophyll was added; in 1984, C14 primary productivity incubations were added. These data are being provided here in collaboration with CalCOFI-SIO in order to provide an additional queriable interface to the data. The data are updated on a regular basis from the CalCOFI hydrographic database.
Effects of microarthropod exclusion and water amendments on fluffgrass rhizosphere nitrate (NO3) at the Jornada Basin LTER, 1986-1987
This data package contains data on nitrogen availability (as nitrate, NO3-), measured with ion exchange resin bags, in fluffgrass (Dasyochloa pulchella) rhizosphere soil from 1986-1987. This study was conducted at the Chihuahuan Desert Rangeland Research Center to test how watering, and changing densities of soil microarthropods and nematodes, impacts fluffgrass growth and nutrient cycling. An ion exchange resin bag technique (Binkley 1984, Lajtha 1988) was used to determine nitrate availability. Twenty 6 x 6 m plots were established with a 3 m buffer between plots. Five plots were randomly assigned to one of four treatments:1) Chlordane (to exclude microarthropods), 2) Chlordane and water, 3) Water, and 4) Control. Ten anion exchange bags were placed in the rhizosphere of a fluffgrass plant in each plot. Bags were left in the field 3 months, collected, brought to the lab and analyzed for available nitrate (NO3-) using an automated cadmium reduction procedure. The data table contains bag collection date, treatment, and NO3- (mg/kg) concentration. This study is complete.
Nitrate, ammonium, and water content of mesquite root tube soil from three habitats at the Jornada Basin LTER site, 1987
This data package contains data on measured root tube soil nutrients from soil cores collected under mesquite (Prosopis glandulosa)at three habitat types of the Jornada Experimental Range and New Mexico State University College Ranch. These habitat types include: 1)playa, 2)dunes, and (4)grassland. Soil core samples were collected in 1987 by hand-augering a reference core and a root tube core. Subsamples were analyzed for nitrate, ammonium, and soil moisture contents. This data set consists of the date of collection, collection site, nitrate concentration, ammonium concentration, and percent soil moisture. Collected variables also include treatments (irradiation and nematicide) that are not well-documented at this time. Data collection was completed in 1987.
Nitrate (15N) Uptake from samples collected aboard Palmer LTER annual cruises off the Western Antarctic Peninsula, 2012-2014
Nitrate uptake by the bulk phytoplankton community was determined using tracer (<10%) additions of labeled 15-NO3. Samples were collected by Go-Flo from 5 depths 0, 5, 10, 20, 65 m and incubated for 24 h at light levels of 100%, 50%, 25%, 10%, and 0% surface irradiance, respectively.
Biogeochemical rate data and sediment properties of samples used for a controlled flow through experiment testing the effect of nitrate on organic matter decomposition, PIE LTER, Plum Island Sound estuary, Massachusetts.
In this dataset, we used a controlled flow-through reactor (FTR) experiment to test the role of nitrate as an electron acceptor, and its effect on organic matter decomposition and the associated microbial community in salt marsh sediments. Organic matter decomposition significantly increased in response to nitrate, even at sediment depths typically considered resistant to decomposition. The use of isotope tracers suggests this pattern was largely driven by stimulated denitrification. Nitrate addition also significantly altered the microbial community and decreased alpha diversity, selecting for taxa belonging to groups known to reduce nitrate and oxidize more complex forms of organic matter. Fourier Transform-Infrared Spectroscopy further supported these results, suggesting that nitrate facilitated decomposition of complex organic matter compounds into more bioavailable forms. Taken together, these results suggest the existence of organic matter pools that only become accessible with nitrate and would otherwise remain stabilized in the sediment. The existence of such pools could have important implications for carbon storage, since greater decomposition rates as N loading increases may result in less overall burial of organic-rich sediment. Given the extent of nitrogen loading along our coastlines, it is imperative that we better understand the resilience of salt marsh systems to nutrient enrichment, especially if we hope to rely on salt marshes, and other blue carbon systems, for long-term carbon storage.
Dissolved inorganic nitrate, nitrite, silicate and phosphate concentrations of seawater sampled during the Antarctic Circumnavigation Expedition (ACE) during the Austral Summer of 2016/2017.
<p><strong>Dataset abstract</strong></p> <p>This dataset contains dissolved inorganic nitrate, nitrite, silicate and phosphate concentrations of seawater sampled during the Antarctic Circumnavigation Expedition (ACE) Legs 1-3. Water samples were collected from the underway seawater supply every 3 hours, preserved and analysed for dissolved inorganic nutrient concentrations using flow injection and colorimetric methods. These samples provide an estimate of the dissolved concentrations of inorganic macronutrients essential for phytoplankton growth.</p> <p><strong>Dataset contents</strong></p> <ul> <li>README.txt, metadata, text</li> <li>data_file_header.txt, metadata, text</li> <li>ace_uw_nutrients_20200527CURRSGCMR.csv, data file, comma-separated values</li> <li>change_log.txt, metadata, text</li> </ul> <p><strong>Change log</strong></p> <p>v1.1 - changed order of authors in publication and citation in README</p> <p>v1.0 - initial release of dataset</p>
Optimal copula models for the observed discharge and nitrate concentration in the Lower Illinois River
<p>Investigating the complex relationships between water quality parameters and river discharge has been an area of active research for decades. The objective of this study is to apply bivariate distributions to river nitrate concentration and discharge and to suggest the procedure of choosing the best bivariate distribution in the selected models. Nitrate concentration (NO<sub>3</sub>) data were measured from 1972 to 2012 at five stations in the Lower Illinois River basin, USA. The bivariate distribution was represented by applying three copula models to explore the dependence between discharge and nitrate concentration. The marginal distributions for the copula models include the generalized Pareto (GPA), generalized extreme value (GEV), two-parameter lognormal (LN2), and three-parameter lognormal (LN3) distributions as well as the three copula models of Clayton, Frank, and Gumbel, respectively. Each procedure was tested by the robust diagnostic, the probability plot correlation coefficient (PPCC) test, and the goodness-of-fit test ( statistic). Consequently, the Frank copula model with GPA for stream flow–GPA for nitrate concentration performed more accurately for data from the mainstream stations, Havana (D-31) and Valley City (D-32) and for those from a station on one tributary, Oakford station along the Sangamon River (E-25). However, along other tributaries such as the La Moine River at Ripley (DG-01) and Spoon River at Seville (DJ-08), the Clayton copula model with NL3 for stream flow–GPA for nitrate concentration showed better fit. This study enabled us to develop a procedure to determine an optimal copula for application to the environmental sciences and suggest a case study for the application of copula models to discharge, as a hydrologic variable, and nutrient concentration as a water quality variable.</p>
Data archive for: Resting cells of Skeletonema marinoi assimilate organic compounds and respire by dissimilatory nitrate reduction to ammonium in dark, anoxic conditions
<p>Data archive for: “Resting cells of <em>Skeletonema marinoi</em> assimilate organic compounds and respire by dissimilatory nitrate reduction to ammonium in dark, anoxic conditions” <a href="https://doi.org/10.1111/1462-2920.16625">https://doi.org/10.1111/1462-2920.16625</a></p> <p> </p> <p>Dataset of single cell assimilation of organic/inorganic C/N by resting cells of the marine diatom <em>Skeletonema marinoi</em> captured using secondary ion mass spectrometry (SIMS) and stable isotopic tracers. The dataset also contains POC/PON changes over time during dormancy, DNRA (<sup>15</sup>N-NH<sub>4</sub><sup>+</sup> production), denitrification (<sup>15</sup>N-N<sub>2</sub> production) and a germination assay to determine survival rate, most probable number analysis (MPN). </p> <p>Two strains (GF04 and R05) were incubated in dark and anoxic conditions in two different incubation experiments.</p> <p>Incubation 1: Diatoms treated with antibiotics before entering dormancy compared to a control not treated with antibiotics then given <sup>15</sup>N-NO<sub>3</sub><sup>-</sup> in dark anoxic conditions.</p> <p>Incubation 2: Diatoms treated with antibiotics given, <sup>15</sup>N & <sup>13</sup>C urea, <sup>15</sup>N & <sup>13</sup>C urea + <sup>14</sup>N-NO<sub>3</sub><sup>-</sup>, <sup>13</sup>C-acetate, <sup>13</sup>C-acetate + <sup>15</sup>N-NO<sub>3</sub><sup>-</sup>, or <sup>15</sup>N-NO<sub>3</sub><sup>-</sup>.</p> <p>See the main manuscript for a extensive experimental setup.</p> <p> </p> <p><strong>Each file is uploaded as both a .CSV and .XLSX, so that you can choose which you prefer.</strong></p> <p><strong>DNRA_and_denitrification.csv/xlsx:</strong> DRNA and denitrification depending on volume (Incubation 1)</p> <p><strong>DNRA_per_cell.csv/xlsx:</strong> DNRA per cell (Incubation 1 & 2)</p> <p><strong>MPN_data.csv/xlsx:</strong> Most probable number analysis (Incubation 1 & 2)</p> <p><strong>POC_PON.csv/xlsx:</strong> POC and PON per cell and volume (Incubation 1 & 2)</p> <p><strong>SIMS_data.csv/xlsx:</strong> SIMS data (Incubation 1 & 2)</p> <p> </p> <p> </p>
Derived daily timeseries of weather, soil moisture and temperature, flow and nitrogen species (nitrate and nitrite, ammonium) concentrations data for the North Wyke Farm Platform National Biosciences Research Infrastructure, England
<p>For a selection of catchments from the North Wyke Farm Platform in southwest England, where land use conversions have been introduced, daily time series data covering weather conditions (minimum temperature, maximum temperature, total rainfall, wind speed and solar radiation), near-surface soil status (moisture content and temperature), flow and concentrations of key nitrogen species (nitrate and nitrite, ammonium) have been filtered based on attached data quality tags . The datasets run between 2013 and March 2024. For the main climate variables, data gaps were infilled with preceding- and following-on daily data, observations from a nearby weather station or existing national datasets to generate a continuous data series for modelling. For the other data series, annual and seasonal summary statistics on data coverage are provided. Information on significant field events, such as ploughing, drilling and harvest, fertiliser applications and manure spreading were also tabulated.</p>
Porewater concentrations of nitrate, nitrite, ammonium, manganese, and iron in sediments from the Atacama and Kermadec Trench regions
<p>The file presents data collected during cruises on <em>RV </em>Tangaroa<em> </em>(TAN1711, 2017) to the Kermadec Trench and <em>RV</em> Sonne (SO261, 2018) to the Atacama Trench. Sample collection and analyses are described, and results are discussed in Thamdrup, B. et al. Anammox bacteria drive fixed nitrogen loss in hadal trench sediments<strong>. </strong>Proc. Natl. Acad. Sci. USA, in press, doi: 10.1073/pnas.2104529118.</p>
SUCCES3 cruise biogeochemical dataset (1): SuperSucker data, ammonium and nitrate+nitrite
<p>High-frequency beogeochemical dataset of cross-sections along the central Oregon shelf acquired during the cruise SUCCES3, from 30 July to 10 August 2009. The dataset includes:</p> <p>- Day of year (UTC), longitude (W), latitude (N), profile number.</p> <p>- SuperSucker data: altitude from seabed (m), depth in the water column (m), distance from start of the transect (km), distance from coast (km), bottom depth (m), pressure (dbar), temperature (C), salinity, density anomaly (calculated from pressure, temperature and salinity, kg m<sup>-3</sup>), dissolved oxygen (calibrated with discrete samples, µM), and beam attenuation (m<sup>-1</sup>).</p> <p>- <em>In situ</em> dissolved inorganic nutrients analysis: ammonium (µM) and nitrate+nitrite (µM).</p> <p>Continuous biogeochemical <em>in situ</em> data were processed first correcting with standards, after, filtering to remove extreme values, and finally, synchronizing with depth and temperature based on a known sample-flow lag based on <em>in situ</em> and surface salinity measurements.</p>
Development and evaluation of E3SM-MOSAIC: Spatial distributions and radiative effects of nitrate aerosol
<p>FC20TR-MOZ_NUG_PD_V2beta4_ANN_200501_201412_climo.nc 10-yr mean for MZT_PD</p> <p>FC20TR-MOZ_MOSAIC_AIKDST_NUG_PD_V2beta4_ANN_200501_201412_climo.nc 10-yr mean for MTC_SLOW_PD</p> <p>FC20TR-MOZ_MOSAIC_AIKDST_MTC_NUG_PD_V2beta4_ANN_200501_201412_climo.nc 10-yr mean for MTC_WGT_PD</p> <p>FC20TR-MOZ_MOSAIC_AIKDST_MTC-SPLC_NUG_PD_V2beta4_ANN_200501_201412_climo.nc 10-yr mean for MTC_SPLC_PD</p> <p> </p> <p>NO3_TM_2005-2014.nc 10-yr mean nitrate burden</p> <p>NO3_AQCH_GAEX_2005-2014.nc 10-yr mean for nitrate chemistry production</p> <p>NO3_DRF_2005-2014.nc 10-yr mean nitrate direct forcing between PD and PI</p> <p>NO3_INDRF_2005-2014.nc 10-yr mean nitrate indirect forcing between PD and PI</p> <p> </p> <p>NH4_TM_2005-2014.nc 10-yr mean for ammonium burden</p> <p>NH4_DRF_2005-2014.nc 10-yr mean ammonium direct forcing between PD and PI</p> <p> </p> <p>SO4_TM_2005-2014.nc 10-yr mean for sulfate burden</p> <p>SO4_DRF_2005-2014.nc 10-yr mean sulfate direct forcing between PD and PI</p> <p> </p> <p>CCN3_1850.nc Cloud condensation nuclei number concentrations at 0.1% super saturation at PI</p> <p>CCN3_2005-2014.nc CCN3 at PD</p> <p>CCN3_NONO3_1850.nc CCN3 at PI without nitrate formation</p> <p>CCN3_NONO3_2005-2014.nc CCN3 at PD without nitrate formation</p> <p> </p> <p>CDNC_*.nc cloud droplet number concentrations</p> <p>CLDFRC_*.nc cloud fraction</p> <p>CWP_*.nc cloud liquid water path</p> <p> </p> <p> </p>
Cycles in hydrologic intensification and de-intensification create instabilities in spring nitrate-N export C-Q behavior in northern temperate forests
<p>Data supporting analysis in "Cycles in hydrologic intensification and de-intensification create instabilities in spring nitrate-N export C-Q behavior in northern temperate forests".</p> <p>The worksheet "daily SWE" contains modeled daily snow water equivalent (SWE; mm) at Turkey Lakes Watershed. Daily values were modeled using a snow accumulation and melt routine within a hydrologic model that used measured precipitation and snow survey data as input and was calibrated to daily discharge measurements at a reference catchment. </p> <p>For use of SWE data, please cite:<br>Leach, J. A., Buttle, J. M., Webster, K. L., Hazlett, P. W., & Jeffries, D. S. (2020). Travel times for snowmelt-dominated headwater catchments: influences of wetlands and forest harvesting, and linkages to stream water quality. Hydrological Processes, 34(10), 2154-2175. https://doi.org/10.1002/hyp.13746</p> <p>The worksheet "monthly T, P, PET" contains monthly mean temperature (°C), monthly total precipitation (mm), and monthly Hamon potential evapotranspiration (PET; mm) from measurements made at the Algoma CAPMoN (Canadian Air and Precipitation Monitoring Network) meteorological station (47°02′N, 84°22′W, 411 m.a.s.l.).</p> <p>For use of these climate data, please cite:<br>Semkin, R. G., Jeffries, D. S., Neureuther, R., Lahaie, G., McAulay, M., Norouzian, F., & Franklyn, J. (2012). Summary of hydrological and meteorological measurements in the Turkey Lakes Watershed, Algoma, Ontario, 1980-2010. Water Science and Technology Directorate Contribution No. 11-145. Environment Canada, National Water Research Institute, Burlington, ON, 85 p.</p>
Water quality data with nitrate
<p>Water quality data in a drinking water distribution network (Helsinki and Vantaa, in Finland). This data includes all the samples that have nitrate analysis. Monochloramine is used in the distribution network as secondary disinfection chemical. The water originates from Lake Päijänne. The titles of the Excel file are in Finnish.</p> <p>Included are an Excel file, an abstract and a poster, where this data was partly utilized. The reference of the poster and abstract: <a href="https://research.aalto.fi/portal/pirjo.rantanen.html">Rantanen, P</a> 2015, <a href="https://research.aalto.fi/en/publications/nitrification-in-drinking-water-distribution-network-in-helsinki-and-vantaa(c7db018f-3225-4e9f-9c05-237533d3669a).html">Nitrification in drinking water distribution network in Helsinki and Vantaa</a>. in Finnish Conference of Environmental Sciences 12th May 2015, Jyväskylä. ed. / Elijah Ngumba; Tuula Tuhkanen; Matti Leppanen; Jaakko Mannio; Sanna Pynnonen. Jyväskylä : FCES, 2015. p. 51.</p>
Figure An2. Distribution of mineral phosphorus (a), silica (b), nitrate (c) and nitrite nitrogen (d). in Phytoplankton assemblages under hydrochemical conditions of the Volga River Delta
Figure An2. Distribution of mineral phosphorus (a), silica (b), nitrate (c) and nitrite nitrogen (d).
Figure 2 in A Physiological behavior and tolerance of Lactuca sativa to lead nitrate and silver nitrate heavy metals
Figure 2. Leaves of lettuce under lead and silver nitrate concentrations. A: 0 mg.Kg-1 Pb and Ag; B: 12,5 mg.Kg-1 Ag; C: 25 mg.Kg-1 Ag; D: 37 mg.Kg-1 Ag; E: 90 mg.Kg-1 Pb; F: 180 mg.Kg-1 Pb and G: 270 mg.Kg-1 Pb. Ade: adaxial epidermis;Chp:Chlorophyll parenchyma; Tr:trichome; X: xylem; Abe: abaxial epidermins P: phoema Hy: Hypodermis; VB:vascular bundles; AB: Assesory bundles Bars 50µm.
Figure 1 in A Physiological behavior and tolerance of Lactuca sativa to lead nitrate and silver nitrate heavy metals
Figure 1. Germination and growth characteristics of lettuce plants subjected to increasing lead and Ag concentrations. A) Emergence speed index and emergence mean time; B) Emergence percentage; C) Plant height as a function of lead and silver concentrations; D) Behavior of leaf area in plants subjected to lead; E) SPAD as a function of lead and silver concentrations; F) Weight of dry matter. Each point on the graphs represents an average of 50 repetitions. The standards variations vary between ±2.5 and ±6.8 around the average from the graphs at the different points.
Figure 3 in A Physiological behavior and tolerance of Lactuca sativa to lead nitrate and silver nitrate heavy metals
Figure 3. Roots of lettuce under lead and silver nitrate concentrations. A: 0 mg.Kg-1 Pb and Ag; B: 12,5 mg.Kg-1 Ag; C: 25 mg.Kg-1 Ag; D: 37 mg.Kg-1 Ag; E: 90 mg.Kg-1 Pb; F: 180 mg.Kg-1 Pb and G: 270 mg.Kg-1 Pb. En: endoderm; Ep: epidermis; Ex: exoderm; Co: cortex; Px: protoxylem; Mx: metaxylem. Bars: 50µm.
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International Brain Laboratory public data
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OpenNeuro
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