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25 results for “Sediment grain size”

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zenodo52/100

North Carolina Outer Banks, USA Coastal Foredune Sediment Cores - Grain Size Data & Core Log Descriptions

<p>This repository includes sediment core data collected at seven sites along the northern Outer Banks, North Carolina, USA. From north to south, the sites include Pine Island, Corolla Reserve, Duck, the US Army Corps of Engineers Field Research Facility (FRF) North, FRF South, Southern Shores (i.e., Hillcrest Beach Access), and Nags Head (Bonnett St. Beach Access).</p><p>At each site, internal dune sedimentology and stratigraphy were characterized using sediment vibracores, each 1.5–2.2 m long, collected along a cross-shore transect from the dune toe to the dune heel. Coring locations were selected based on dune morphology to capture the stratigraphy of the dune toe, stoss slope, primary dune crest, lee slope, swale, and secondary dune crest, as applicable. Sediment core locations were documented using RTK-GPS and are included in the .kmz file.</p><p>All sediment cores were split, photographed, described for sedimentary structures, texture (as compared to standards), mineralogy, and color (Munsell, 2012). Sediment cores were described using the Modified Burmister System in 10-cm intervals, with additional intervals added as needed to capture stratigraphic units with thicknesses less than 10 cm but greater than 1 cm. Sediment core log descriptions are included in the NOAA_NCDunes_Vibracore_CoreLogs.xlsx data file.</p><p>Sediment size and shape were analyzed from oven-dried samples using a CAMSIZERX2Ⓡ. These data are included in the Dune_Grain_Size_camsizer_outputs.csv data file. Metrics reported for each sample include the following: Site, Core ID, Sample Number, Depth (cm below ground surface), Elevation (m, NAVD88), D2 (mm), D5 (mm), D10 (mm), D16 (mm), D25 (mm), D50 (mm), D75 (mm), D84 (mm), D90 (mm), D95 (mm), D98 (mm), average grain symmetry, average grain sphericity, average grain aspect ratio, percent pebble, percent granule, percent very coarse sand, percent coarse sand, percent medium sand, percent fine sand, percent very fine sand, and percent silt.</p><p><strong>More details regarding these measurements can be found in the following manuscript:</strong></p><p>Davis, E.H., Hein, C.J., Cohn, N., White, A.E., Zinnert, J.C. Differences in internal sedimentologic and biotic structure between natural, managed, and constructed coastal foredunes (in review).</p>

opencc-by-4.0Nov 2023View details →
edi52/100

Sediment grain size in the Virginia coastal bays, 2022

This dataset contains sediment grain size distributions from benthic sediment cores collected from shallow sites across coastal bays of Virginia, USA. The samples were collected in July 2022 at 50 long-term sampling sites. Most sites were sampled in seagrass meadows (eelgrass Zostera marina), but some sites are unvegetated (bare substrate).

openCustomAug 2024View details →
zenodo48/100

Organic Matter, Geochemical, Visible Spectrocolorimetric Properties, Radiocesium Properties, and Grain Size of Potential Source Material, Target Sediment Core Layers and Laboratory Mixtures for Conducting Sediment Fingerprinting Approaches in the Mano Dam Reservoir (Hayama Lake) Catchment, Fukushima Prefecture, Japan

<p>The current dataset was compiled to study sediment fingerprintings practices, i.e tracer selection and contribution modelling. Organic matter, elemental geochemistry, visible difuse spectrocolorimetric properties, radiocesium properties, and grain size were analysed were analysed in potential source material that may supply sediment to coastal rivers, here the upper part of the Mano river, draining the main Fukushima radioactive pollution plume (Japan). Four potential soil source materials (<em>n</em> = 68) were considered: undecontaminated cropland (<em>n</em> = 24), as non-decontaminated soil before the application of local decontamination policies, remediated cropland (<em>n</em> = 10), as decontaminated soil after the application of local decontamination policies, forest soils (n = 24) and subsurface material originating from channel bank collapse or landslides (<em>n</em> = 10; referred to as subsoil). A sediment core was collected in the Mano Dam lake (Hayama lake) on the 6th June 2021 and was sectionned into 1-cm layers (<em>n</em> = 38). Laboratory mixtures (<em>n</em> = 27) were made to assess different contribution levels from the sources.</p> <p>The current dataset comprises four .csv files including data and metadata information and their respective descriptions of variables. The data set is composed of soil samples, sediment core layer and laboratory mixtures. Laboratory mixtures were prepared to provide a dataset to calibrate/validate un-mixing models implemented to address this research question and analysed in the same conditions and using the same equipment as the source/target material.</p> <p>Recommended encoding format: <strong>latin1</strong></p>

opencc-by-4.0Mar 2024View details →
zenodo44/100

Core log descriptions and sediment grain size data for Hurricane Ian sediment cores collected in Lee County, Florida, USA

<p>These data represent qualitative and quantitative measurements of sediment cores collected from various environments following the landfall of Hurricane Ian. These sediment cores were collected using pound coring techniques up to 2m into the subsurface to characterize the sedimentological signature of storm deposits resulting from Hurricane Ian. More details regarding these measurements and interpretations of storm deposits can be found in the folllowing manuscript:</p> <p>McCormick, W.M., Briggs, T.R., Hauptman, L.H., Wang, P., Morphologic and sedimentological signatures resulting from Hurricane Ian, southwest Florida, USA: Insight into intra-storm bidirectional sediment transport processes (In Review).&nbsp;</p>

opencc-by-4.0Aug 2024View details →
zenodo44/100

Interpolation of the median grain size of the first 2 cm sediment layer in the former saltworks of Salin de Giraud in 2017

<p>Sediment samples were collected in the summer of 2017 over the entire study area at 500 m spacing and in the channels. Grain size analysis of the collected sediment samples was conducted using a Malvern Mastersizer 2000&copy; laser beam grain sizer. The median grain size (d50 in &micro;m) at each sample location was then interpolated over the entire study area. Interpolation was made with the SAGA-GIS software (version 7.9.0). According to the cross-validation error, the best method for the D50mm interpolation was the Modified Quadratic Shepard. The 10-fold validation provided an R&sup2; of 0.93, an NMRSE of 24.5, an RMSE of 83.9, an MRE of 7039 with the fit set to &ldquo;node&rdquo;, the quadratic neighbours and weighting neighbours set to 50 and the spatial resolution was set to 10 m. The resultant interpolation map was then categorized following the nomenclature of Blott and Pye (2001) provided in the file style_sediment_map.qml.</p>

opencc-by-4.0Jul 2023View details →
dryad40/100

Data from: Promoting success in thin layer sediment placement: effects of sediment grain size and amendments on salt marsh plant growth and greenhouse gas exchange

<p>Thin layer sediment placement (TLP) is a method to mitigate factors resulting in loss of elevation and severe alteration of hydrology, such as sea level rise and anthropogenic modifications, and prolong the lifespan of drowning salt marshes. However, TLP success may vary due to plant stress associated with reductions in nutrient availability and hydrologic flushing or through the creation of acid sulfate soils. This study examined the influence of sediment grain size and soil amendments on plant growth, soil and porewater characteristics, and greenhouse gas exchange for three key US salt marsh plants: <em>Spartina alterniflora, Spartina patens, </em>and <em>Salicornia pacifica. </em>We found that bioavailable nitrogen concentrations (measured as extractable NH<sub>4</sub><sup>+</sup>-N) and porewater pH and salinity were found to have an inverse relationship with grain size, while soil redox was more reducing in finer sediments. This suggests that utilizing finer sediments in TLP projects will result in a more reduced environment with higher nutrient availability, while larger grain-sized sediments will be better flushed and oxidized. We further found that grain size had a significant effect on vegetation biomass allocation and rates of gas exchange, although these effects were species-specific. We found that soil amendments (biochar and compost) did not subsidize plant growth but were associated with increases in soil respiration and methane emissions. Biochar amendments were additionally ineffective in ameliorating acid sulfate conditions. This study uncovers complex interactions between sediment type and vegetation, emphasizing limitations of soil amendments. The findings aid restoration project managers in making informed decisions regarding sediment type, target vegetation, and soil amendments for successful TLP projects.</p>

opencc-zeroJan 2024View details →
zenodo40/100

ChRM and grain-size data of deep-sea sediments in the Central Philippine Sea

<p>The Philippine Sea is a typical region of eolian dust reposition and is located within the Western Pacific Warm Pool. Here, we use the paleo-magnetic stratigraphy and the grain-size distributions of Quaternary abyssal deposits in the Central Philippine Sea to investigate the factors controlling regional sedimentary and paleoenvironmental changes. Our principal results are as follows: (1) A reliable geochronologic framework for Quaternary sediments in the Central Philippine Sea is established. (2) An eastward expansion of the regional depocenter in the Middle Pleistocene is observed. (3) The mean grain size of the abyssal sediments is 7&ndash;8 &mu;m, and there are only minor differences between the sites. Comparison of the geochronological framework with various paleoenvironmental events during the Mid-Pleistocene Transition shows that sedimentary processes can be correlated to a major transition in global climate which affected regions from the Asian interior to the tropical Pacific, and that changes in aeolian sedimentation are likely the predominant factor responsible. A derived grain-size proxy of the sedimentary dynamics and its comparison with various paleoenvironmental proxies show that the relative contributions are roughly estimated as 23%, 9%, and 68% for aeolian inputs, oceanic circulation, and the tropical Pacific zonal SST gradient, respectively in the studied region. The relative importance of tropical processes in abyssal sedimentary dynamics highlights the possibility of the long-term influence of (sub)mesoscale eddies in the upper ocean, via regional upwelling and unique submarine topography, on the deepest part (&gt;5000 m) of the Central Philippine Sea, from meteorological to geological timescales.</p>

opencc-by-4.0Feb 2022View details →
dryad40/100

Data from: Promoting success in thin layer sediment placement: effects of sediment grain size and amendments on salt marsh plant growth and greenhouse gas exchange

Open the record for dataset details and reuse information.

publicJan 2024View details →
edi40/100

Sediment grain size in seagrass restoration plots in the Virginia coastal bays, 2010-2016

This dataset contains particle size distributions for sediment samples collected from Z. marina restoration plots in Hog Island Bay and South Bay, VA. Samples were collected every three years starting in 2010 from 64 sites in Hog Island Bay (58 restored seagrass sites, 6 bare sites), and 12 sites in South Bay (6 restored seagrass sites, 6 bare sites). Bare sites in South Bay were no longer sampled after 2013, due to colonization of the sites by seagrass. Restored sites were seeded between 2001-2008; plot-level particle size distributions were combined based on the age of the plots during each sampling year.

openCustomJun 2016View details →
edi40/100

Sediment Grain Size Transects on the coast of Virginia, August 2012

Sediment grain size distributions were determined for five sediment sampling transects in four of the coastal bays in Northampton, Co, VA.

openCustomAug 2012View details →
zenodo36/100

Table S1 The grain size, TOC and elemental composition of sediment samples in the northern South China Sea

<p><span>Grain size measurements of the sediments were carried out on a Mastersizer 3000 laser particle size analyzer</span><span>. Prior to analysis organic matter was removed by leaching the sediment with 15% H<sub>2</sub>O<sub>2</sub>. Total organic carbon (TOC) of the sediments was measured in </span><span>Thermo EA-IsoLink elemental analyzer</span><span>. Prior to analysis carbon bound to carbonate minerals was removed by leaching the sediment with 10% HCl. Total element concentrations (Al, Ca, Ti, Fe, Mn) of the bulk sediments were measured after acid digestion (HF, HNO<sub>3</sub> and HCl) by </span><span>Thermo iCAP 7400 ICP-OES</span><span>. Solid phase iron speciation data were measured following sequential Fe extraction (Fe<sub>carb</sub>, Fe<sub>ox</sub>, Fe<sub>mag</sub>, Fe<sub>py</sub>) by T</span><span>hermo iCAP 7400 ICP-OES</span><span>.</span></p>

opencc-by-4.0Apr 2024View details →
zenodo36/100

Grain size distribution of Amazon river sediment samples collected over the period 2005-2008; and ADCP water velocity profiles collected on the major tributaries of the Amazon in Bolivia and Peru, 2007-2008

<p>This dataset contains two items:</p> <p>- The grain size distribution of river sediment samples collected along the Amazon River and its tributaries during four sampling campaigns performed in June 2005 (lower Amazon, Brazil), March 2006 (lower Amazon, Brazil), May 2007 (Upper Madeira, Bolivia), and April 2008 (Upper Solim&otilde;es-Amazonas, Peru). [spreadsheet &quot;Grain_size_distribution_dataset_Amazon_2005-2008_Bouchez_data.xlsx&quot;].</p> <p>-&nbsp; River water velocity profiles derived from Acoustic Doppler Current Profiler (ADCP) measurements performed on the major tributaries of the Amazon in May 2007 (Upper Madeira, Bolivia) and April 2008 (Upper Solim&otilde;es-Amazonas, Peru) [folder &quot;ADCP_dataset_Amazon_2007-2008_Bouchez_data&quot;].</p> <p>The dataset description and the relevant references are provided in the text files &quot;Grain_size_distribution_dataset_Amazon_2005-2008_Bouchez_description.docx&quot; and &quot;ADCP_dataset_Amazon_2007-2008_Bouchez_description.docx&quot; .</p> <p>These data were acquired thanks to the support of the French National Service for Observation &quot;HYBAM&quot; (&quot;Hydrogeochemistry of the Amazon Basin&quot;), part of the CNRS National Infrastructure &quot;OZCAR&quot; (&quot;Critical Zone Observatories: Applications and Research&quot;).</p>

opencc-by-4.0Apr 2022View details →
zenodo36/100

Supporting data tables and Python scripts for the paper: "Multi Grain-Size Total Sediment Load Model Based on the Disequilibrium Length"

<p>This repository contains all the data tables and Python scripts necessary to generate the results presented in Le Minor et al.&nbsp;(2022):&nbsp;&quot;Multi Grain-Size Total Sediment Load Model Based on the Disequilibrium&nbsp;Length&quot;.</p>

opencc-by-4.0Oct 2022View details →
zenodo36/100

Sedimentation, sediment grain size, vegetation composition and vegetation characteristics on a salt marsh in nature reserve the Slufter (Wadden island Texel, the Netherlands)

<p>Data on sedimentation, sediment grain size, vegetation composition and vegetation characteristics of&nbsp;a field experiment on a salt marsh in nature reserve the Slufter (Wadden island Texel, the Netherlands).</p> <p>The data is described in the following publication:<br> Baaij, B.M., Kooijman, J., Limpens, J., Marijnissen, R.J.C., van Loon-Steensma, J.M. Monitoring Impact of Salt-Marsh Vegetation Characteristics on Sedimentation: an Outlook for Nature-Based Flood Protection. Wetlands 41, 76 (2021). https://doi.org/10.1007/s13157-021-01467-w</p> <p>A short description of the aim, study design, measurements and data files is given in README.txt.</p>

opencc-by-4.0Dec 2020View details →
zenodo32/100

Evaluation of Grain size, Amorphous Fe-Mn Oxides, and Chemical Weathering Effects on Geochemical Identification of the Yangtze River and Yellow River Sediments

<p>The data of grain size of the Yangtze River and Yellow River sediments are given in ds01.xls. Trace and REEs in the HCl- and AC-residual size-differentiated components of the Yangtze River and Yellow River sediments are given in ds02.xls. Major elements in the AC-residual &lt;5 &micro;m fractions of the Yangtze River and Yellow River sediments are given in ds03.xls. Major, trace, and REEs in the HCl- and AC-leachable fractions of the Yangtze River and Yellow River sediments&nbsp; are given in ds04.xls.</p>

opencc-by-4.0Sep 2022View details →
zenodo32/100

Data of Sedimentation process of ashfall during a Vulcanian eruption as revealed by high-temporal-resolution grain size analysis and high-speed camera imaging

<p>Data of ash falling rate, grain size analysis of ash deposit, and high-speed camera imaging of airborne ash particles used in&nbsp;&quot;Sedimentation process of ashfall during a Vulcanian eruption as revealed by high-temporal-resolution grain size analysis and high-speed camera imaging&quot;.&nbsp;</p>

opencc-by-4.0Aug 2019View details →
zenodo32/100

Data Set S1. Microplastic properties and Data Set S2. Sediment grain size

<p>The data for microplastic properties (including abundance, shape, colour, polymer type and size) and sediment grain size (including the grain size and the content of clay, silt and sand) in Core CCYY1.</p>

opencc-by-4.0Aug 2021View details →
zenodo28/100

Grain Size Evidenced Sediment Dynamics in Tropical Western Pacific Islands Since 140 ka

Open the record for dataset details and reuse information.

opencc-by-4.0Oct 2023View details →
zenodo28/100

Grain size, magnetic susceptibility and geochemical records from Lake Ebinur sediments

Open the record for dataset details and reuse information.

opencc-by-4.0Dec 2023View details →
nasa28/100

Delta-X: Sediment Core Grain Size Distribution, Wax Lake Delta, MRD, LA

This dataset provides grain size distribution measurements collected from sediment core samples on Mike Island in the Wax Lake Delta, Louisiana, as part of the Delta-X Spring campaign in March, 2021,and the Fall campaign during August, 2021. The data are for March 26 and 29, and August 18 and 24. Sediment cores were collected using a piston core, then volume-based grain size distribution for each sample was measured using a laser diffraction particle size analyzer. The data are provided in comma separated values (CSV) format.

restrictednotspecifiedApr 2025View details →

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