http://lod.bco-dmo.org/id/dataset/875373 eng; USA utf8 dataset Highest level of data collection, from a common set of sensors or instrumentation, usually within the same research project Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact 2022-06-08 ISO 19115-2 Geographic Information - Metadata - Part 2: Extensions for Imagery and Gridded Data ISO 19115-2:2009(E) Sediment surface elevation, erodibility, and acoustic properties of sediments collected from the Northern Gulf of Mexico following laboratory resuspension at the Dauphin Island Sea Lab in 2020 2025-08-25 publication 2025-08-25 revision Marine Biological Laboratory/Woods Hole Oceanographic Institution Library (MBLWHOI DLA) 2025-08-27 publication https://doi.org/10.26008/1912/bco-dmo.875373.1 Kelly Dorgan Dauphin Island Sea Lab principalInvestigator Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. publisher Cite this dataset as: Dorgan, K., Clemo, W. C. (2025) Sediment surface elevation, erodibility, and acoustic properties 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.875373.1 [access date] Sediment resuspension summary Dataset Description: Methods and Sampling: &lt;p&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). We resuspended the surface 5 cm of the cores in the lab using a modified baster with holes that directed water jets laterally below the sediment surface. We compared temporal changes in sediment compaction to changes in surface and subsurface cohesion over 30 days post-resuspension.&lt;/p&gt; &lt;p&gt;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.&lt;/p&gt; &lt;p&gt;These data include the 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. There were 5 replicate cores per time point, but not all data were collected on each replicate core. Detailed data on erosion measurements, as well as repeated non-destructive measurements of sediment-water interface height and sound speed on cores processed on day 30 are provided in separate datasets.&lt;/p&gt; &lt;p&gt;Cores were extruded and sliced at 1 cm depth intervals. We calculated water content from sediment mass differences before and after drying at 65 degrees Celsius (°C) for 24 hours as mass of water divided by mass of dry sediment (Eq. 4.7 from Jackson and Richardson 2007). We measured grain size every cm in the top 5 cm and at 8 and 10 cm for undisturbed cores and cores 3 and 30 days after resuspension. We determined grain size distribution with a Malvern Mastersizer 3000 particle analyzer (Malvern Panalytical, Malvern, UK) and data were analyzed with Gradistat (Kenneth Pye Associates, Ltd., Berkshire, UK) and classified according to Folk and Ward (1957).&lt;/p&gt; &lt;p&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):&lt;/p&gt; &lt;p&gt;ν_p=c_w/(1-(c_w * ∆t/d_s )&lt;/p&gt; &lt;p&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.&lt;/p&gt; &lt;p&gt;To determine if differences in erodibility and tensile strength were driven by variability in surface and subsurface EPS, we analyzed the subcore used for water content and grain size measurements for EPS carbohydrate concentrations. Following methods of de Brouwer and Stal (2001), we lyophilized frozen sediment and extracted colloidal carbohydrates with purified water (E-Pure) for 1 hour at 30 °C. We then extracted bound carbohydrates with 0.1 M Na2EDTA for 16 hours at room temperature. We measured both carbohydrate fractions with the sulfuric acid-UV assay (Albalasmeh et al., 2013), which is based on the phenol-sulfuric acid assay (DuBois et al., 1956). 900 µL 96 % sulfuric acid was added to 300 microliters (µL) carbohydrate solution to dehydrate dissolved carbohydrates into furfural derivatives, which absorb UV light. This solution was vortexed for 30 seconds, allowed to return to room temperature for approximately 5 minutes, then UV absorbance at 315 nanometers (nm) was measured using a SpectraMax M5 microplate reader (Molecular Devices). We determined carbohydrate concentration from UV absorbance of a glucose reference.&lt;/p&gt; &lt;p&gt;To determine subsurface cohesion changes over time, we measured tensile force (N) using a custom probe modified from a fracture toughness probe developed by Johnson et al. (2012). A helical probe is rotated and translated into the sediment like a corkscrew, then pulled upward, breaking off a plug of sediment. Force, measured with an in-line force sensor (Futek LS-200 2-lb), increases to a peak force, then drops when the plug breaks free of the sediment below. Forces from friction with the surrounding sediment and the weight of the sediment plug are removed by repeating the corkscrew motion and subtracting the force profile from the second upward pull. The peak force in the plot of net force as a function of upward distance corresponds to the tensile strength of the sediment, a metric of cohesion. Fracture toughness can be calculated from this peak force (Johnson et al. 2012), but due to some concerns about the effect of sediment depth on these calculations (Dorgan, unpublished data), only force is presented here. These force measurements are comparable across the same depth in different cores, with higher force indicating greater cohesion.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Instruments:&lt;/strong&gt;&lt;br /&gt; Grain size analysis was done on a Malvern Mastersizer 3000 particle analyzer. Most instruments are custom built. Acoustics measurements were done following Dorgan et al. 2020, JASA. Other measurements are described in Clemo et al., 2022.&lt;/p&gt; 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 completed Kelly Dorgan Dauphin Island Sea Lab 251-861-2141 x7553 101 Bienville Blvd Dauphin Island AL 36528-4603 USA kdorgan@disl.org pointOfContact asNeeded Dataset Version: 1 Unknown coreID latitude longitude water_depth_m date time_hour time_day timepoint replicate depth_cm water_content_fraction density_seawater density_sediment soundspeed_ratio_mean CumErodedMass time_turbiditysensor_maxedout timefraction_turbiditysensor_maxedout EPScolloidal EPSsedimentbound MaxTensileF_N GrainSizeAvgd10 GrainSizeAvgd50 GrainSizeAvgd90 GrainSizeMEAN GrainSizeSORTING GrainSizeSKEWNESS GrainSizeKURTOSIS percent_GRAVEL percent_SAND percent_MUD percent_V_COARSE_GRAVEL percent_COARSE_GRAVEL percent_MEDIUM_GRAVEL percent_FINE_GRAVEL percent_V_FINE_GRAVEL percent_V_COARSE_SAND percent_COARSE_SAND percent_MEDIUM_SAND percent_FINE_SAND percent_V_FINE_SAND percent_V_COARSE_SILT percent_COARSE_SILT percent_MEDIUM_SILT percent_FINE_SILT percent_V_FINE_SILT percent_CLAY SAMPLE_TYPE TEXTURAL_GROUP SEDIMENT_NAME MC-400 multicorer Malvern Mastersizer 3000 theme None, User defined core id latitude longitude depth_w date time_elapsed time_point replicate depth core percent composition density ratio mass sample description sediment grain size featureType BCO-DMO Standard Parameters Ocean Instruments MC-400 Multi corer Particle Size Analyzer instrument BCO-DMO Standard Instruments otherRestrictions otherRestrictions Access Constraints: none. Use Constraints: Please follow guidelines at: http://www.bco-dmo.org/terms-use Distribution liability: Under no circumstances shall BCO-DMO be liable for any direct, incidental, special, consequential, indirect, or punitive damages that result from the use of, or the inability to use, the materials in this data submission. If you are dissatisfied with any materials in this data submission your sole and exclusive remedy is to discontinue use. CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna https://osprey.bco-dmo.org/project/811716 CAREER: Mechanisms of bioturbation and ecosystem engineering by benthic infauna <p><em>NSF Award Abstract:</em><br /> 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.</p> <p>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.</p> <p>This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.</p> Bioturbation and Ecosystem Engineering largerWorkCitation project eng; USA oceans -88.13913 -88.13913 30.22222 30.22222 2020-01-27 2020-02-27 Dauphin Island Sea Lab, Dauphin Island, AL 0 BCO-DMO catalogue of parameters from Sediment surface elevation, erodibility, and acoustic properties 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) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact http://lod.bco-dmo.org/id/dataset-parameter/983316.rdf Name: coreID Units: unitless Description: <p>core ID named as &quot;D_samplingday(max30)_replicate(A-E)&quot;</p> http://lod.bco-dmo.org/id/dataset-parameter/983317.rdf Name: latitude Units: decimal degrees Description: <p>Latitude of sample collection</p> http://lod.bco-dmo.org/id/dataset-parameter/983318.rdf Name: longitude Units: decimal degrees Description: <p>Longitude of sample collection</p> http://lod.bco-dmo.org/id/dataset-parameter/983319.rdf Name: water_depth_m Units: meters (m) Description: <p>Water depth in meters</p> http://lod.bco-dmo.org/id/dataset-parameter/983320.rdf Name: date Units: unitless Description: <p>Date of sample collection</p> http://lod.bco-dmo.org/id/dataset-parameter/983321.rdf Name: time_hour Units: hours Description: <p>time in hours since sediment disturbance was performed</p> http://lod.bco-dmo.org/id/dataset-parameter/983322.rdf Name: time_day Units: days Description: <p>time in days since sediment disturbance was performed</p> http://lod.bco-dmo.org/id/dataset-parameter/983323.rdf Name: timepoint Units: unitless Description: <p>time point of experiment (max 30)</p> http://lod.bco-dmo.org/id/dataset-parameter/983324.rdf Name: replicate Units: unitless Description: <p>replicate identifier</p> http://lod.bco-dmo.org/id/dataset-parameter/983325.rdf Name: depth_cm Units: centimeters (cm) Description: <p>depth within core</p> http://lod.bco-dmo.org/id/dataset-parameter/983326.rdf Name: water_content_fraction Units: unitless Description: <p>(wet mass - dry mass)/dry mass of sediment</p> http://lod.bco-dmo.org/id/dataset-parameter/983327.rdf Name: density_seawater Units: kilograms per cubic meter (kg m-3) Description: <p>density of seawater</p> http://lod.bco-dmo.org/id/dataset-parameter/983328.rdf Name: density_sediment Units: kilograms per cubic meter (kg m-3) Description: <p>density of sediment</p> http://lod.bco-dmo.org/id/dataset-parameter/983329.rdf Name: soundspeed_ratio_mean Units: unitless Description: <p>ratio of sound speed in mud to sound speed in water</p> http://lod.bco-dmo.org/id/dataset-parameter/983330.rdf Name: CumErodedMass Units: kilograms per square meter (kg m-2) Description: <p>mass of eroded material from gust chamber</p> http://lod.bco-dmo.org/id/dataset-parameter/983331.rdf Name: time_turbiditysensor_maxedout Units: minutes Description: <p>amount of time the reading from the turbidity sensor was maxed out</p> http://lod.bco-dmo.org/id/dataset-parameter/983332.rdf Name: timefraction_turbiditysensor_maxedout Units: unitless Description: <p>fraction of time the turbidity sensor was maxed out</p> http://lod.bco-dmo.org/id/dataset-parameter/983333.rdf Name: EPScolloidal Units: micrograms per gram (ug g-1) Description: <p>amount of colloidal exopolymeric substances in sediment</p> http://lod.bco-dmo.org/id/dataset-parameter/983334.rdf Name: EPSsedimentbound Units: micrograms per gram (ug g-1) Description: <p>amount of sediment bound exopolymeric substances in sediment</p> http://lod.bco-dmo.org/id/dataset-parameter/983335.rdf Name: MaxTensileF_N Units: newtons (N) Description: <p>max tensile force measured with custom probe (2 lb force sensor)</p> http://lod.bco-dmo.org/id/dataset-parameter/983336.rdf Name: GrainSizeAvgd10 Units: micrometers (um) Description: <p>10th percentile of grain size</p> http://lod.bco-dmo.org/id/dataset-parameter/983337.rdf Name: GrainSizeAvgd50 Units: micrometers (um) Description: <p>50th percentile of grain size</p> http://lod.bco-dmo.org/id/dataset-parameter/983338.rdf Name: GrainSizeAvgd90 Units: micrometers (um) Description: <p>90th percentile of grain size</p> http://lod.bco-dmo.org/id/dataset-parameter/983339.rdf Name: GrainSizeMEAN Units: micrometers (um) Description: <p>mean grain size</p> http://lod.bco-dmo.org/id/dataset-parameter/983340.rdf Name: GrainSizeSORTING Units: unitless Description: <p>grain size sorting, which is the standard deviation of the grain size distribution</p> http://lod.bco-dmo.org/id/dataset-parameter/983341.rdf Name: GrainSizeSKEWNESS Units: unitless Description: <p>grain size skewness</p> http://lod.bco-dmo.org/id/dataset-parameter/983342.rdf Name: GrainSizeKURTOSIS Units: unitless Description: <p>grain size kurtosis</p> http://lod.bco-dmo.org/id/dataset-parameter/983343.rdf Name: percent_GRAVEL Units: percent (%) Description: <p>Percent gravel</p> http://lod.bco-dmo.org/id/dataset-parameter/983344.rdf Name: percent_SAND Units: percent (%) Description: <p>Percent sand</p> http://lod.bco-dmo.org/id/dataset-parameter/983345.rdf Name: percent_MUD Units: percent (%) Description: <p>Percent mud</p> http://lod.bco-dmo.org/id/dataset-parameter/983346.rdf Name: percent_V_COARSE_GRAVEL Units: percent (%) Description: <p>Percent very coarse gravel</p> http://lod.bco-dmo.org/id/dataset-parameter/983347.rdf Name: percent_COARSE_GRAVEL Units: percent (%) Description: <p>Percent coarse gravel</p> http://lod.bco-dmo.org/id/dataset-parameter/983348.rdf Name: percent_MEDIUM_GRAVEL Units: percent (%) Description: <p>Percent medium gravel</p> http://lod.bco-dmo.org/id/dataset-parameter/983349.rdf Name: percent_FINE_GRAVEL Units: percent (%) Description: <p>Percent fine gravel</p> http://lod.bco-dmo.org/id/dataset-parameter/983350.rdf Name: percent_V_FINE_GRAVEL Units: percent (%) Description: <p>Percent very fine gravel</p> http://lod.bco-dmo.org/id/dataset-parameter/983351.rdf Name: percent_V_COARSE_SAND Units: percent (%) Description: <p>Percent very coarse sand</p> http://lod.bco-dmo.org/id/dataset-parameter/983352.rdf Name: percent_COARSE_SAND Units: percent (%) Description: <p>Percent coarse sand</p> http://lod.bco-dmo.org/id/dataset-parameter/983353.rdf Name: percent_MEDIUM_SAND Units: percent (%) Description: <p>Percent medium sand</p> http://lod.bco-dmo.org/id/dataset-parameter/983354.rdf Name: percent_FINE_SAND Units: percent (%) Description: <p>Percent fine sand</p> http://lod.bco-dmo.org/id/dataset-parameter/983355.rdf Name: percent_V_FINE_SAND Units: percent (%) Description: <p>Percent very fine sand</p> http://lod.bco-dmo.org/id/dataset-parameter/983356.rdf Name: percent_V_COARSE_SILT Units: percent (%) Description: <p>Percent very coarse silt</p> http://lod.bco-dmo.org/id/dataset-parameter/983357.rdf Name: percent_COARSE_SILT Units: percent (%) Description: <p>Percent coarse silt</p> http://lod.bco-dmo.org/id/dataset-parameter/983358.rdf Name: percent_MEDIUM_SILT Units: percent (%) Description: <p>Percent medium silt</p> http://lod.bco-dmo.org/id/dataset-parameter/983359.rdf Name: percent_FINE_SILT Units: percent (%) Description: <p>Percent fine silt</p> http://lod.bco-dmo.org/id/dataset-parameter/983360.rdf Name: percent_V_FINE_SILT Units: percent (%) Description: <p>Percent very fine silt</p> http://lod.bco-dmo.org/id/dataset-parameter/983361.rdf Name: percent_CLAY Units: percent (%) Description: <p>Percent clay</p> http://lod.bco-dmo.org/id/dataset-parameter/983362.rdf Name: SAMPLE_TYPE Units: unitless Description: <p>grain size sorting</p> http://lod.bco-dmo.org/id/dataset-parameter/983363.rdf Name: TEXTURAL_GROUP Units: unitless Description: <p>sediment texture</p> http://lod.bco-dmo.org/id/dataset-parameter/983364.rdf Name: SEDIMENT_NAME Units: unitless Description: <p>type of sediment</p> GB/NERC/BODC > British Oceanographic Data Centre, Natural Environment Research Council, United Kingdom Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact 59008 https://darchive.mblwhoilibrary.org/server/api/core/bitstreams/cf41123b-52ec-4fd7-8858-74817ae4d0f0/content download https://doi.org/10.26008/1912/bco-dmo.875373.1 download onLine dataset &lt;p&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). We resuspended the surface 5 cm of the cores in the lab using a modified baster with holes that directed water jets laterally below the sediment surface. We compared temporal changes in sediment compaction to changes in surface and subsurface cohesion over 30 days post-resuspension.&lt;/p&gt; &lt;p&gt;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.&lt;/p&gt; &lt;p&gt;These data include the 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. There were 5 replicate cores per time point, but not all data were collected on each replicate core. Detailed data on erosion measurements, as well as repeated non-destructive measurements of sediment-water interface height and sound speed on cores processed on day 30 are provided in separate datasets.&lt;/p&gt; &lt;p&gt;Cores were extruded and sliced at 1 cm depth intervals. We calculated water content from sediment mass differences before and after drying at 65 degrees Celsius (°C) for 24 hours as mass of water divided by mass of dry sediment (Eq. 4.7 from Jackson and Richardson 2007). We measured grain size every cm in the top 5 cm and at 8 and 10 cm for undisturbed cores and cores 3 and 30 days after resuspension. We determined grain size distribution with a Malvern Mastersizer 3000 particle analyzer (Malvern Panalytical, Malvern, UK) and data were analyzed with Gradistat (Kenneth Pye Associates, Ltd., Berkshire, UK) and classified according to Folk and Ward (1957).&lt;/p&gt; &lt;p&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):&lt;/p&gt; &lt;p&gt;ν_p=c_w/(1-(c_w * ∆t/d_s )&lt;/p&gt; &lt;p&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.&lt;/p&gt; &lt;p&gt;To determine if differences in erodibility and tensile strength were driven by variability in surface and subsurface EPS, we analyzed the subcore used for water content and grain size measurements for EPS carbohydrate concentrations. Following methods of de Brouwer and Stal (2001), we lyophilized frozen sediment and extracted colloidal carbohydrates with purified water (E-Pure) for 1 hour at 30 °C. We then extracted bound carbohydrates with 0.1 M Na2EDTA for 16 hours at room temperature. We measured both carbohydrate fractions with the sulfuric acid-UV assay (Albalasmeh et al., 2013), which is based on the phenol-sulfuric acid assay (DuBois et al., 1956). 900 µL 96 % sulfuric acid was added to 300 microliters (µL) carbohydrate solution to dehydrate dissolved carbohydrates into furfural derivatives, which absorb UV light. This solution was vortexed for 30 seconds, allowed to return to room temperature for approximately 5 minutes, then UV absorbance at 315 nanometers (nm) was measured using a SpectraMax M5 microplate reader (Molecular Devices). We determined carbohydrate concentration from UV absorbance of a glucose reference.&lt;/p&gt; &lt;p&gt;To determine subsurface cohesion changes over time, we measured tensile force (N) using a custom probe modified from a fracture toughness probe developed by Johnson et al. (2012). A helical probe is rotated and translated into the sediment like a corkscrew, then pulled upward, breaking off a plug of sediment. Force, measured with an in-line force sensor (Futek LS-200 2-lb), increases to a peak force, then drops when the plug breaks free of the sediment below. Forces from friction with the surrounding sediment and the weight of the sediment plug are removed by repeating the corkscrew motion and subtracting the force profile from the second upward pull. The peak force in the plot of net force as a function of upward distance corresponds to the tensile strength of the sediment, a metric of cohesion. Fracture toughness can be calculated from this peak force (Johnson et al. 2012), but due to some concerns about the effect of sediment depth on these calculations (Dorgan, unpublished data), only force is presented here. These force measurements are comparable across the same depth in different cores, with higher force indicating greater cohesion.&lt;/p&gt; &lt;p&gt;&lt;strong&gt;Instruments:&lt;/strong&gt;&lt;br /&gt; Grain size analysis was done on a Malvern Mastersizer 3000 particle analyzer. Most instruments are custom built. Acoustics measurements were done following Dorgan et al. 2020, JASA. Other measurements are described in Clemo et al., 2022.&lt;/p&gt; Specified by the Principal Investigator(s) &lt;p&gt;&lt;strong&gt;Data Processing:&lt;/strong&gt;&lt;br /&gt; Sound speed was calculated from the lag between sent and received 3-pulse sine waves at 400 kHz using a custom Matlab script&amp;nbsp;(see Dorgan et al. 2020 for details). Grain size analysis was done with Gradistat.&lt;/p&gt; Specified by the Principal Investigator(s) - Imported original file &quot;ClemoResuspensionExperiment2020.csv&quot; into the BCO-DMO system. - Renamed fields to comply with BCO-DMO naming conventions. - Converted date column to YYYY-MM-DD format. - Rounded numeric columns to 4 decimal places. - Saved the final file as &quot;875373_v1_sediment_resuspension.csv&quot;. Specified by BCO-DMO Data Managers asNeeded 7.x-1.1 Biological and Chemical Oceanography Data Management Office (BCO-DMO) Unavailable 508-289-2009 WHOI MS#36 Woods Hole MA 02543 USA info@bco-dmo.org http://www.bco-dmo.org Monday - Friday 8:00am - 5:00pm For questions regarding this resource, please contact BCO-DMO via the email address provided. pointOfContact MC-400 multicorer MC-400 multicorer PI Supplied Instrument Name: MC-400 multicorer PI Supplied Instrument Description: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). Instrument Name: Ocean Instruments MC-400 Multi corer Instrument Short Name:MC-400 Multi Corer Instrument Description: The Ocean Instruments MC-400 {Hedrick/Marrs} multi-corer is a sediment multi-corer with a series of cores attached to one deployment frame. This model carries four sample tubes. It is designed to retrieve sediment and water samples in lakes and shelf waters. The sample tubes are sealed with a silicone rubber upper door gasket and a neoprene or carpet lower door seal. Each of the four sample tubes can be removed from the coring unit for immediate processing in the laboratory without exposing their contents to the surface environment. It is designed to recover undisturbed surface sediments and is therefore well-suited to study benthic processes. The multi-corer is disposed on a research vessel and is lowered into the water body by a cable. When the multi-corer touches the sediment the units ballast weight pushes the assembled cores into the substrate. Each of the tubes contains a unique sediment core. The multi-corer uses a unique hydrostatic damping system that slows the penetration rate down to approximately 1 cm/s. Provisions have been made to carry up to two 4-liter water bottles that actuate as the frame legs touch bottom. The overall sample tube length is 58 cm, with a maximum penetration of 34.5 cm. The tube diameter is 10 cm. Malvern Mastersizer 3000 Malvern Mastersizer 3000 PI Supplied Instrument Name: Malvern Mastersizer 3000 PI Supplied Instrument Description:Grain size analysis was done on a Malvern Mastersizer 3000 particle analyzer. Instrument Name: Particle Size Analyzer Instrument Short Name: Instrument Description: Particle size analysis, particle size measurement, or simply particle sizing is the collective name of the technical procedures, or laboratory techniques which determines the size range, and/or the average, or mean size of the particles in a powder or liquid sample.