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            <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/dataset/875514.rdf" xlink:actuate="onRequest">Sediment surface elevation change of sediments collected from the Northern Gulf of Mexico following laboratory resuspension at the Dauphin Island Sea Lab in 2020</gmx:Anchor>
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            <gco:CharacterString>Cite this dataset as: Dorgan, K., Clemo, W. C. (2025) Sediment surface elevation change of sediments collected from the Northern Gulf of Mexico following laboratory resuspension at the Dauphin Island Sea Lab in 2020. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2025-08-25 [if applicable, indicate subset used]. doi:10.26008/1912/bco-dmo.875514.1 [access date]</gco:CharacterString>
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        <gco:CharacterString>Sediment resuspension elevation Dataset Description:  Methods and Sampling: &amp;lt;p&amp;gt;Sediment cores were collected from 10 meters (m) depth in the northern Gulf of Mexico offshore of Dauphin Island, Alabama, in cohesive muddy sediment on January 26, 2020 (30° 13.333' N, 88° 8.348' W). Cores were collected from a Dauphin Island Sea Lab vessel, the R/V Alabama Discovery. Polycarbonate sediment cores (9.6 centimeter (cm) inner diameter x 60 cm height) were collected using an MC-400 multicorer (Ocean Instruments, Fall City, WA).&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;We resuspended the surface 5 cm of natural muddy sediment cores in the lab and compared temporal changes in sediment compaction to changes in surface and subsurface cohesion over 30 days post resuspension. Sediment-water interface (SWI) height and acoustic sound speed through sediment, which depends on bulk density, provided continuous and nondestructive metrics of compaction, and sediment porosity and grain size were measured destructively to characterize sediment physical structure. We determined surface cohesion by measuring both eroded mass and turbidity resulting from increasing shear stress. Subsurface cohesion was determined from the force required for sediments to fail in tension. We compared surface and subsurface exopolymeric substance (EPS) concentrations to surface and subsurface cohesion measurements. We differentiated between water-soluble (colloidal) and sediment-bound EPS as we expected bound EPS to contribute more to sediment-organic matrix development and thus cohesion because they are directly bound to sediment grains rather than dissolved in porewater.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;These data include repeated measurements of sediment-water interface height. A summary of data collected on cores processed over time points 0 days (no resuspension), then 1, 2, 3, 7, 14, and 30 days post-resuspension is given in a related dataset. Detailed data on erosion measurements, as well as repeated non-destructive measurements of sound speed on cores processed on day 30 are provided in separate datasets.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;To quantify short- and long-term sediment compaction continuously and non-destructively, we measured post-disturbance sediment-water interface height above the core base 16 times over 30 days following disturbance. For each core, the pre-disturbance sediment-water interface height was subtracted from the sediment-water interface heights at each timepoint to provide sediment-water interface height above or below the undisturbed height. Sediment-water interface heights higher than the undisturbed height indicated less compact sediment.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;We performed acoustic measurements following methods from Dorgan et al. (2020). Within a seawater tank, a 400 kHz three-cycle sinusoidal tone burst was transmitted horizontally through sediment cores to a receiver at 3 depths below the sediment surface (2.5, 5, 10 cm) (see Fig. 1 in Dorgan et al., 2020). To account for sound speed differences due to temporal variability in temperature and salinity, sound speed through sediment was normalized by the sound speed in seawater to obtain sound speed ratio (SSR). Each day, we also performed acoustic measurements on cores filled with seawater and with no core present. Sound speed in seawater and the lag time between the transmitted and received signals (time of flight) through sediment and seawater cores were used to calculate sound speed in sediment (νp):&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;ν_p=c_w/(1-(c_w * ∆t/d_s )&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;where cw is sound speed in water, Δt is the difference in time of flight between seawater core (tw) and sediment core (ts), and ds is the inner diameter of the core (Jackson and Richardson, 2007; Dorgan et al., 2020). SSR was then calculated by dividing νp by cw, where a higher SSR indicates more compact sediment.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;&amp;lt;strong&amp;gt;Instruments:&amp;lt;/strong&amp;gt;&amp;lt;br /&amp;gt;
Acoustics measurements were done following Dorgan et al. 2020, JASA.&amp;lt;/p&amp;gt;</gco:CharacterString>
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        <gmx:Anchor xlink:href="http://lod.bco-dmo.org/id/award/811715.rdf" xlink:title="OCE-1844910" xlink:actuate="onRequest">Funding provided by NSF Division of Ocean Sciences (NSF OCE) Award Number: OCE-1844910 Award URL: https://www.nsf.gov/awardsearch/show-award?AWD_ID=1844910</gmx:Anchor>
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Marine sediments are important habitats for abundant and diverse communities of organisms that are important as food sources for higher trophic levels, including commercially important species. Through burrowing, constructing tubes, and feeding on sediments, these animals modify their physical and chemical environments to such an extent that they are considered ecosystem engineers. Bioturbation, the mixing of sediments by animals, is important in regenerating nutrients and transporting pollutants and carbon bound to mineral grains. Despite its importance, our ability to predict bioturbation rates and patterns from the community structure is poor, largely due to a lack of understanding of the mechanisms by which animals mix sediments. This project builds on earlier work showing that animals extend burrows through muddy sediments by fracture to test the hypothesis that the mechanical properties of sediments that affect burrowing mechanics also affect sediment mixing. More broadly, this project examines the relative contributions of (i) the functional roles of the organisms in the community, (ii) the mechanical properties of sediments, and (iii) factors that might increase or decrease animal activity such as temperature and food availability to bioturbation rates. Burrowing animals modify the physical properties of sediments, and this project quantifies these changes and tests the hypothesis that these changes are ecologically important and affect community succession following a disturbance. In addition to this scientific broader impact, this project involves development of instrumentation to measure sediment properties and includes a substantial education plan to introduce graduate, undergraduate, and middle school students to the important role that technology plays in marine science.&lt;/p&gt;
&lt;p&gt;Through burrowing and feeding activities, benthic infauna mix sediments and modify their physical environments. Bioturbation gates the burial of organic matter, enhances nutrient regeneration, and smears the paleontological and stratigraphic record. However, current understanding of the mechanisms by which infaunal activities mix sediments is insufficient to predict the impacts of changes in infaunal community structure on important sediment ecosystem functions driven by bioturbation. This project tests specific hypotheses relating infaunal communities, bioturbation, and geotechnical properties with the ultimate goal of understanding the dynamic changes and potential feedbacks between infauna and their physical environments. This project integrates field and lab experiments to assess the relative importance of infaunal community structure and activities to bioturbation rates. Additionally, this project builds on recent work showing that muddy sediments are elastic gels through which worms extend burrows by fracture to propose that geotechnical properties of sediments mediate bioturbation by governing the release of particles from the sediment matrix during burrow extension. Finite element modeling determines how the release of particles by fracture during burrowing depends on the fracture toughness (cohesion) and stiffness (compaction) of sediments and complements laboratory experiments characterizing the impact of geotechnical properties on burrowing behaviors. The proposed research also aims to determine whether impacts of infauna on geotechnical properties are ecologically important. Changes in infaunal communities and geotechnical properties following an experimental physical disturbance address the hypothesis that ecosystem engineering of bulk sediment properties facilitates succession.&lt;/p&gt;
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                <gco:CharacterString>&amp;lt;p&amp;gt;Sediment cores were collected from 10 meters (m) depth in the northern Gulf of Mexico offshore of Dauphin Island, Alabama, in cohesive muddy sediment on January 26, 2020 (30° 13.333' N, 88° 8.348' W). Cores were collected from a Dauphin Island Sea Lab vessel, the R/V Alabama Discovery. Polycarbonate sediment cores (9.6 centimeter (cm) inner diameter x 60 cm height) were collected using an MC-400 multicorer (Ocean Instruments, Fall City, WA).&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;We resuspended the surface 5 cm of natural muddy sediment cores in the lab and compared temporal changes in sediment compaction to changes in surface and subsurface cohesion over 30 days post resuspension. Sediment-water interface (SWI) height and acoustic sound speed through sediment, which depends on bulk density, provided continuous and nondestructive metrics of compaction, and sediment porosity and grain size were measured destructively to characterize sediment physical structure. We determined surface cohesion by measuring both eroded mass and turbidity resulting from increasing shear stress. Subsurface cohesion was determined from the force required for sediments to fail in tension. We compared surface and subsurface exopolymeric substance (EPS) concentrations to surface and subsurface cohesion measurements. We differentiated between water-soluble (colloidal) and sediment-bound EPS as we expected bound EPS to contribute more to sediment-organic matrix development and thus cohesion because they are directly bound to sediment grains rather than dissolved in porewater.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;These data include repeated measurements of sediment-water interface height. A summary of data collected on cores processed over time points 0 days (no resuspension), then 1, 2, 3, 7, 14, and 30 days post-resuspension is given in a related dataset. Detailed data on erosion measurements, as well as repeated non-destructive measurements of sound speed on cores processed on day 30 are provided in separate datasets.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;To quantify short- and long-term sediment compaction continuously and non-destructively, we measured post-disturbance sediment-water interface height above the core base 16 times over 30 days following disturbance. For each core, the pre-disturbance sediment-water interface height was subtracted from the sediment-water interface heights at each timepoint to provide sediment-water interface height above or below the undisturbed height. Sediment-water interface heights higher than the undisturbed height indicated less compact sediment.&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;We performed acoustic measurements following methods from Dorgan et al. (2020). Within a seawater tank, a 400 kHz three-cycle sinusoidal tone burst was transmitted horizontally through sediment cores to a receiver at 3 depths below the sediment surface (2.5, 5, 10 cm) (see Fig. 1 in Dorgan et al., 2020). To account for sound speed differences due to temporal variability in temperature and salinity, sound speed through sediment was normalized by the sound speed in seawater to obtain sound speed ratio (SSR). Each day, we also performed acoustic measurements on cores filled with seawater and with no core present. Sound speed in seawater and the lag time between the transmitted and received signals (time of flight) through sediment and seawater cores were used to calculate sound speed in sediment (νp):&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;ν_p=c_w/(1-(c_w * ∆t/d_s )&amp;lt;/p&amp;gt;

&amp;lt;p&amp;gt;where cw is sound speed in water, Δt is the difference in time of flight between seawater core (tw) and sediment core (ts), and ds is the inner diameter of the core (Jackson and Richardson, 2007; Dorgan et al., 2020). SSR was then calculated by dividing νp by cw, where a higher SSR indicates more compact sediment.&amp;lt;/p&amp;gt;

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Acoustics measurements were done following Dorgan et al. 2020, JASA.&amp;lt;/p&amp;gt;</gco:CharacterString>
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                  <gco:CharacterString>- Imported original file &amp;quot;CLemoResuspensionExperiment2020SedimentElevation.csv&amp;quot; into the BCO-DMO system. 
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