Metadata: Identification_Information: Citation: Citation_Information: Originator: Marci E. Marot Originator: Christopher G. Smith Originator: Terrence A. McCloskey Originator: Stanley D. Locker Originator: Nicole S. Khan Originator: Kathryn E.L. Smith Publication_Date: 20190301 Title: Sedimentary Data From Grand Bay, Alabama/Mississippi, 2014-2016 Geospatial_Data_Presentation_Form: Multimedia presentation Series_Information: Series_Name: U.S. Geological Survey Data Release Issue_Identification: doi:10.5066/P9FO8R3Y Publication_Information: Publication_Place: St. Petersburg, FL Publisher: U.S. Geological Survey Online_Linkage: https://doi.org/10.5066/P9FO8R3Y Description: Abstract: This data release is an archive of sedimentary field and laboratory analytical data collected in Grand Bay, Alabama/Mississippi from 2014-2016 by scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS SPCMSC). This work, a component of the SPCMSC’s Sea-level and Storm Impacts on Estuarine Environments and Shorelines (SSIEES) project, provides the necessary data to quantify sedimentation rates and sediment sources for the marsh and estuary. The SSIEES project objective is to evaluate the exchange of sediment material between the marsh and estuary due to extreme storms and sea-level rise. Micropaleontological data from select cores and surface samples are available in Haller and others (2018, https://doi.org/10.5066/F7MC8X5F, https://doi.org/10.5066/F7445KSG). Single-beam bathymetry of Grand Bay proper and multi-beam bathymetry of several marsh-edge eroding shorelines are reported in Dewitt and others (2017, https://doi.org/10.3133/ds1070) and Stalk and others (2018, https://doi.org/10.5066/F7MC8Z9N), respectively. Subbottom and sidescan sonar data for Grand Bay proper are reported in Locker and others (2018, https://doi.org/10.5066/P9374DKQ). This publication includes data for the sediment cores and surface sediments taken in Grand Bay marsh and estuary during five sampling periods of this study, which were designated as USGS Field Activity Numbers (FAN) 2014-323-FA (project ID 14CCT01), 2015-315-FA (project ID 15CCT02), 2016-331-FA (project ID 16CCT03), 2016-348-FA (project ID 16CCT04), and 2016-358-FA (project ID 16CCT07). Data products include: GPS-derived site locations and elevations; core photographs,logs, and x-radiographs; lithologic, radiochemical, elemental composition, stable isotopic composition, and radiocarbon data; and Federal Geographic Data Committee (FGDC) metadata. Purpose: Dissemination of laboratory analytical data from surficial sediments collected from Grand Bay estuary, Alabama/Mississippi in August 2016 (USGS FAN 2016-348-FA, project ID 16CCT04). Supplemental_Information: To ensure that USGS St. Petersburg data management protocols were followed, this survey was assigned the following USGS FAN: 2016-348-FA (https://cmgds.marine.usgs.gov/fan_info.php?fan=2016-348-FA). Funding for this survey was provided by the USGS Coastal and Marine Geology Program’s SSIEES project (https://coastal.er.usgs.gov/ssiees/). The authors would like to acknowledge Chelsea Stalk for assistance with sediment sample collection. The authors also acknowledge Cheyenne Everhart and Craig Felson for their assistance with laboratory sample analysis. We would also like to thank Alisha Ellis for pre-release commentary and peer review of this report. Time_Period_of_Content: Time_Period_Information: Range_of_Dates/Times: Beginning_Date: 20160803 Ending_Date: 20160803 Currentness_Reference: ground condition Status: Progress: Complete Maintenance_and_Update_Frequency: None planned Spatial_Domain: Bounding_Coordinates: West_Bounding_Coordinate: -88.41130 East_Bounding_Coordinate: -88.39714 North_Bounding_Coordinate: 30.38250 South_Bounding_Coordinate: 30.36620 Keywords: Theme: Theme_Keyword_Thesaurus: USGS Metadata Identifier Theme_Keyword: USGS:6b4ae395-2413-4f0e-a277-57f981ca8e13 Theme: Theme_Keyword_Thesaurus: ISO 19115 Topic Category Theme_Keyword: geoscientificInformation Theme_Keyword: location Theme_Keyword: biota Theme: Theme_Keyword_Thesaurus: USGS Thesaurus Theme_Keyword: geology Theme_Keyword: bulk density Theme_Keyword: grain-size analysis Theme_Keyword: unconsolidated deposits Theme: Theme_Keyword_Thesaurus: None Theme_Keyword: sediment Theme_Keyword: estuaries Theme_Keyword: grab samples Theme_Keyword: grain size Theme_Keyword: GRADISTAT Theme_Keyword: loss on ignition Theme_Keyword: U.S. Geological Survey Theme_Keyword: USGS Theme_Keyword: St. Petersburg Coastal and Marine Science Center Place: Place_Keyword_Thesaurus: Geographic Names Information System (GNIS) Place_Keyword: Alabama Place_Keyword: Mississippi Place_Keyword: Grand Bay Access_Constraints: None Use_Constraints: The U.S. Geological Survey requests that it be acknowledged as the originator of this dataset in any future products or research derived from these data. Point_of_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Marci E. Marot Contact_Position: Geologist Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: mmarot@usgs.gov Data_Set_Credit: U.S. Geological Survey, Coastal and Marine Geology Program, St. Petersburg Coastal and Marine Science Center Native_Data_Set_Environment: Microsoft Windows 7 Enterprise Service Pack 1; Microsoft Excel Version 2010 Cross_Reference: Citation_Information: Originator: DeWitt, N.T., Stalk, C.A., Smith, C.G., Locker, S.D., Fredericks, J.J., McCloskey, T.A., and Wheaton, C.J. Publication_Date: 2017 Title: Single-beam bathymetry data collected in 2015 from Grand Bay, Alabama-Mississippi Series_Information: Series_Name: U.S. Geological Survey Data Series Issue_Identification: 1070 Online_Linkage: https://doi.org/10.3133/ds1070 Cross_Reference: Citation_Information: Originator: Stalk, C.A., Fredericks, J.J., Locker, S.D., and Carlson, C.S. Publication_Date: 2018 Title: Multibeam bathymetry data collected in 2016 from Grand Bay Alabama/Mississippi Series_Information: Series_Name: U.S. Geological Survey data release Issue_Identification: doi.org/10.5066/F7MC8Z9N Online_Linkage: https://doi.org/10.5066/F7MC8Z9N Cross_Reference: Citation_Information: Originator: Locker, S.D., Forde, A.S., and Smith, C.G. Publication_Date: 2018 Title: Subbottom and sidescan sonar data acquired in 2015 from Grand Bay, Mississippi and Alabama Series_Information: Series_Name: U.S. Geological Survey data release Issue_Identification: doi.org/10.5066/P9374DKQ Online_Linkage: https://doi.org/10.5066/P9374DKQ Cross_Reference: Citation_Information: Originator: Haller, Christian, Osterman, L.E., Smith, C.G., McCloskey, T.A., Marot, M.E., Ellis, A.M., and Adams, C.S. Publication_Date: 2018 Title: Benthic foraminiferal data from the eastern Mississippi Sound salt marshes and estuaries Series_Information: Series_Name: U.S. Geological Survey data release Issue_Identification: doi.org/10.5066/F7MC8X5F Online_Linkage: https://doi.org/10.5066/F7MC8X5F Cross_Reference: Citation_Information: Originator: Haller, Christian, Smith, C.G., McCloskey, T.A., Marot, M.E., Ellis, A.M., and Adams, C.S. Publication_Date: 2018 Title: Benthic foraminiferal data from sedimentary cores collected in the Grand Bay (Mississippi) and Dauphin Island (Alabama) salt marshes Series_Information: Series_Name: U.S. Geological Survey data release Issue_Identification: doi.org/10.5066/F7445KSG Online_Linkage: https://doi.org/10.5066/F7445KSG Cross_Reference: Citation_Information: Originator: Blott, S.J. and Pye, K. Publication_Date: 2001 Title: Gradistat: A grain size distribution and statistics package for the analysis of unconsolidated sediments Edition: Version 8.0 Series_Information: Series_Name: Earth Surface Processes and Landforms Issue_Identification: Volume 26 Other_Citation_Details: Pages 1237-1248 Online_Linkage: http://www.kpal.co.uk/gradistat.html Data_Quality_Information: Attribute_Accuracy: Attribute_Accuracy_Report: The positional accuracy of the sample locations was determined by the accuracy of the vessel-mounted Ashtech Proflex Differential Global Positioning System (DGPS) Global Navigation Satellite System (GNSS) antenna and receiver used to record the sample locations during the time of collection. The grain size data represent the sample averages for a subset of the statistical parameters calculated by GRADISTAT. The number of runs included in the averaged results is reported, and the standard deviation of the averaged results is reported for most parameters. Logical_Consistency_Report: The grain-size sample runs in the GRADISTAT output files for which the mean Folk and Ward grain size varied from the set average by more than 1.5 standard deviations are highlighted in yellow and were not included in final averaged results. No formal logical accuracy tests were conducted on the remaining datasets. Completeness_Report: This dataset is considered complete for the information presented, as described in the abstract section. Users are advised to read the rest of the metadata record carefully for additional details. Positional_Accuracy: Horizontal_Positional_Accuracy: Horizontal_Positional_Accuracy_Report: Sample locations in the Grand Bay estuary were recorded at the time of collection using a vessel-mounted Ashtech Proflex DGPS GNSS receiver and GNSS antenna located amidship of the 17-foot USGS R/V Mako. Acquisition software HYPACK© (version 2015a) read information from the GPS receiver and allowed the vessel operator to record a point location at the time of sample collection. Expected horizontal error associated with DGPS is 1-2 meters (m). Because of the antenna location, it is expected the sample locations were offset by an additional 1 m from the GPS point locations, thus resulting in a 1-3 m horizontal uncertainty. Vertical_Positional_Accuracy: Vertical_Positional_Accuracy_Report: Surface elevations of the estuarine bottom sediments were not determined. Lineage: Process_Step: Process_Description: At 21 sites along the western margin of the Grand Bay estuary, bottom surface sediments were collected with a petite ponar grab sampler. The sediment recovered in the grab sampler was inspected for an undisturbed sediment-water interface. If the sediment was disturbed, the sediment was discarded and a new grab sample was collected. If the sediment surface was intact, the overlying water was gently removed, and the uppermost one centimeter of sediment was sampled for sediment characterization. The grab sample identifiers consist of the USGS project ID (16CCT04) and a site-specific identifier (for example, GB300). An alphabetic identifier was appended to each site identifier to denote the collection method (G for bottom sediment grab samples). The site position was recorded with a vessel-mounted Ashtech Proflex DGPS GNSS receiver and GNSS antenna. Site locations and date/time of collection are reported in an Excel spreadsheet. A comma-separated values data file containing the tabular data in plain text are included in the download files. Process_Date: 2016 Source_Produced_Citation_Abbreviation: 16CCT04_SiteInformation.zip Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Marci E. Marot Contact_Position: Geologist Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: (727) 502-8000 Contact_Electronic_Mail_Address: mmarot@usgs.gov Process_Step: Process_Description: In the SPCMSC laboratory, the surficial sediment grab samples were processed for basic sediment characteristics (dry bulk density and porosity). Water content, porosity and dry bulk density were determined using water mass lost during drying. For each 1-cm interval, 48–60 milliliters (mL) of each wet subsample was packed into a graduated syringe with 0.5 mL resolution. The wet sediment was then extracted into a pre-weighed aluminum tray and the weight of the wet sediment and the volume was recorded. The wet sediment and tray were placed in a drying oven for a minimum of 48 hours at 60 degrees Celsius (°C). Water content (θ) was determined as the mass of water (mass lost when dried) relative to the initial wet sediment mass. Dry bulk density was determined by ratio of dry sediment to the known volume of sediment packed into the syringe. Porosity (φ) was calculated from the equation φ = θ / [θ+(1-θ)/ρs] where ρs is grain density assumed to be 2.5 grams per cubic centimeter (g/cm^3). Salt-mass contributions were removed based on the average salinity (18.5) measured in the Grand Bay estuary in May 2016 (FAN_2016-331-FA, project ID 16CCT03). Water content, porosity and dry bulk density are reported in the Excel spreadsheet. A comma-separated values data file containing the tabular data in plain text is included in the download file. Process_Date: 2016 Source_Produced_Citation_Abbreviation: 16CCT04_SedimentPhysicalProperties.zip Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey St. Petersburg Coastal and Marine Science Center Contact_Person: Marci E. Marot Contact_Position: Geologist Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: U.S. Contact_Voice_Telephone: (727) 502-8000 Contact_Electronic_Mail_Address: mmarot@usgs.gov Process_Step: Process_Description: Organic matter content was determined with a mass loss technique, referred to as loss on ignition (LOI). The dry sediment from the previous process was homogenized with a porcelain mortar and pestle. Approximately 5 grams (g) of the dry sediment was placed into a pre-weighed porcelain crucible. The mass of the dried sediment was recorded. The sample was then placed inside a laboratory muffle furnace with stabilizing temperature control. The furnace was heated to 110 °C for a minimum of 6 hours to remove hygroscopic water absorbed onto the sediment particles. The furnace temperature was then lowered to 60 °C, at which point the sediments could be reweighed. The dried sediment was returned to the muffle furnace. The furnace was heated to 550 °C over 30 minutes and kept at 550 °C for 6 hours. The furnace temperature was then lowered to 60 °C and held at this temperature until the sediments could be reweighed. The latter step prevents the absorption of moisture, which can affect the measurement. The mass lost during the 6-hour baking period relative to the 110 °C-dried mass is used as a metric of organic matter content. Data are reported as a ratio of mass (g) of organic matter to mass (g) of dry sediment (post-110 °C drying). Replicate analyses were performed on approximately 20 percent of the samples as a representative subset for quality assurance. Loss on ignition measurements, including replicate analyses, are reported in the Excel spreadsheet. A comma-separated values data file containing the tabular data in plain text is included in the download file. Process_Date: 2016 Source_Produced_Citation_Abbreviation: 16CCT04_SedimentPhysicalProperties.zip Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey St. Petersburg Coastal and Marine Science Center Contact_Person: Marci E. Marot Contact_Position: Geologist Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: U.S. Contact_Voice_Telephone: (727) 502-8000 Contact_Electronic_Mail_Address: mmarot@usgs.gov Process_Step: Process_Description: Particle size analysis was performed on the 37 surficial sediment (G & S) samples. Prior to particle size analysis, organic material was chemically removed from the samples using 30% hydrogen peroxide (H2O2). Wet sediment was dissolved in H2O2 overnight. The H2O2 was then evaporated by gentle heating and the sediment washed and centrifuged twice with deionized water. Grain size analyses on the sediment cores were performed using a Coulter LS 13 320 (https://www.beckmancoulter.com/) particle-size analyzer (PSA), which uses laser diffraction to measure the size distribution of sediments ranging in size from 0.4 microns to 2 millimeters (mm) (clay to very coarse-grained sand). To prevent shell fragments from damaging the Coulter instrument, particles greater than 1 mm in diameter were separated from all samples prior to analysis using a number 18 (1000 microns or 1 mm) U.S. standard sieve, which meets the American Society for Testing and Materials (ASTM) E11 standard specifications for determining particle size using woven-wire test sieves. Two subsamples from each depth interval were processed through the instrument a minimum of three runs each. The sediment slurry made from the digested sample and deionized water was sonicated with a wand sonicator for 1 minute before being introduced into the Coulter PSA to breakdown aggregated particles. The Coulter PSA measures the particle-size distribution of each sample by passing sediment suspended in solution between two narrow panes of glass in front of a laser. Light is scattered by the particles into characteristic refraction patterns measured by an array of photodetectors as intensity per unit area and recorded as relative volume for 92 size-related channels (bins). The size-classification boundaries for each bin were specified based on the ASTM E11 standard. Process_Date: 2016 Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Marci E. Marot Contact_Position: Geologist Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: (727) 502-8000 Contact_Electronic_Mail_Address: mmarot@usgs.gov Process_Step: Process_Description: The raw grain size data were then run through the free software program GRADISTAT (Blott and Pye, 2001; http://www.kpal.co.uk/gradistat), which calculates the mean, sorting, skewness, and kurtosis of each sample geometrically in metric units and logarithmically in phi units. GRADISTAT also calculates the fraction of sediment from each sample by size category (for example, clay, coarse silt, fine sand). A macro function in Microsoft Excel, developed by the USGS SPCMSC, was applied to the data to calculate average and standard deviation for each sample set (6-8 runs per sample), and highlight runs that varied from the set average by more than ±1.5 standard deviations. Excessive deviations from the mean are likely the result of equipment error or extraneous organic material in the sample and are not considered representative of the sample. The highlighted runs were removed from the results and the sample average was recalculated using the remaining runs. The averaged results for all samples, including the number of averaged runs and the standard deviation of the averaged results were summarized in an Excel workbook. A comma-separated values data file containing the tabular data in plain text is included in the download file. Process_Date: 2016 Source_Produced_Citation_Abbreviation: 16CCT04_GrainSize.zip Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Marci E. Marot Contact_Position: Geologist Contact_Address: Address_Type: Mailing and Physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: (727) 502-8000 Contact_Electronic_Mail_Address: mmarot@usgs.gov Process_Step: Process_Description: Added keywords section with USGS persistent identifier as theme keyword. Process_Date: 20201013 Process_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: VeeAnn A. Cross Contact_Position: Marine Geologist Contact_Address: Address_Type: Mailing and Physical Address: 384 Woods Hole Road City: Woods Hole State_or_Province: MA Postal_Code: 02543-1598 Contact_Voice_Telephone: 508-548-8700 x2251 Contact_Facsimile_Telephone: 508-457-2310 Contact_Electronic_Mail_Address: vatnipp@usgs.gov Entity_and_Attribute_Information: Detailed_Description: Entity_Type: Entity_Type_Label: 16CCT04_SiteInformation.xlsx Entity_Type_Definition: Microsoft Excel workbook listing the site identifiers, field sampling dates, and site locations for the surficial sediment samples collected in this study (USGS FAN 2016-348-FA, project ID 16CCT04). Entity_Type_Definition_Source: USGS Detailed_Description: Entity_Type: Entity_Type_Label: 16CCT04_SiteInformation.csv Entity_Type_Definition: Comma-separated values text file listing the site identifiers, field sampling dates, and site locations for the surficial sediment samples collected in this study (USGS FAN 2016-348-FA, project ID 16CCT04). Entity_Type_Definition_Source: USGS Detailed_Description: Entity_Type: Entity_Type_Label: 16CCT04_SedimentPhysicalProperties.xlsx Entity_Type_Definition: Microsoft Excel workbook listing water content, porosity, bulk density and loss on ignition data for the surficial sediment samples collected in this study (USGS FAN 2016-348-FA, project ID 16CCT04). Entity_Type_Definition_Source: USGS Detailed_Description: Entity_Type: Entity_Type_Label: 16CCT04_SedimentPhysicalProperties.csv Entity_Type_Definition: Comma-separated values text file listing water content, porosity, bulk density and loss on ignition data for the surficial sediment samples collected in this study (USGS FAN 2016-348-FA, project ID 16CCT04). Entity_Type_Definition_Source: USGS Detailed_Description: Entity_Type: Entity_Type_Label: 16CCT04_GrainSize.xlsx Entity_Type_Definition: Microsoft Excel workbook summarizing grain-size parameters for surficial sediment samples collected in this study (USGS FAN 2016-348-FA, project ID 16CCT04). The averaged results for each sample, including the number of runs used, the standard deviation of the averaged results, and graphical class-size distributions, are provided. Entity_Type_Definition_Source: USGS Detailed_Description: Entity_Type: Entity_Type_Label: 16CCT04_GrainSize.csv Entity_Type_Definition: Comma-separated values text file summarizing grain-size parameters for surficial sediment samples collected in this study (USGS FAN 2016-348-FA, project ID 16CCT04). The averaged results for each sample, including the number of runs used, the standard deviation of the averaged results, and graphical class-size distributions, are provided. Entity_Type_Definition_Source: USGS Attribute: Attribute_Label: Site ID Attribute_Definition: Site identifier assigned by the USGS scientist Attribute_Definition_Source: USGS Attribute_Domain_Values: Unrepresentable_Domain: Character string Attribute: Attribute_Label: Date & Time Collected Attribute_Definition: Calendar date and time of day of field sample collection Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 08/03/2016 10:41 Range_Domain_Maximum: 08/03/2016 13:47 Attribute_Units_of_Measure: mm/dd/yyyy hh:mm Attribute_Measurement_Resolution: 1 Attribute: Attribute_Label: Latitude (NAD83) Attribute_Definition: Latitude of site location relative to the North American Datum of 1983, in decimal degrees Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 30.36620 Range_Domain_Maximum: 30.38250 Attribute_Units_of_Measure: Decimal degree Attribute_Measurement_Resolution: 0.00001 Attribute: Attribute_Label: Longitude (NAD83) Attribute_Definition: Longitude of site location relative to the North American Datum of 1983, in decimal degrees, Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: -88.41130 Range_Domain_Maximum: -88.39714 Attribute_Units_of_Measure: Decimal degree Attribute_Measurement_Resolution: 0.00001 Attribute: Attribute_Label: Sample ID Attribute_Definition: Individual sample identifier assigned by the USGS scientist Attribute_Definition_Source: USGS Attribute_Domain_Values: Unrepresentable_Domain: Character string Attribute: Attribute_Label: Water Content (g-water/g-wet) Attribute_Definition: The ratio of the mass of water to the mass of wet sediment Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.22 Range_Domain_Maximum: 0.61 Attribute_Units_of_Measure: Grams of water per grams of wet sediment Attribute_Measurement_Resolution: 0.01 Attribute: Attribute_Label: Porosity (cm^3-voids/cm^3-wet) Attribute_Definition: Porosity of the sediment interval Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.41 Range_Domain_Maximum: 0.80 Attribute_Units_of_Measure: Cubic centimeter of void space per cubic centimeter of wet sediment Attribute_Measurement_Resolution: 0.01 Attribute: Attribute_Label: Dry Bulk Density (g/cm^3) Attribute_Definition: Dry bulk density of the sediment interval Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.47 Range_Domain_Maximum: 1.37 Attribute_Units_of_Measure: Grams per cubic centimeter Attribute_Measurement_Resolution: 0.01 Attribute: Attribute_Label: Loss On Ignition (g-OM/g-dry) Attribute_Definition: The ratio of the mass of organic matter combusted at 550 Celsius to the pre-combusted mass of dry sediment Attribute_Definition_Source: USGS Attribute_Domain_Values: Range_Domain: Range_Domain_Minimum: 0.008 Range_Domain_Maximum: 0.129 Attribute_Units_of_Measure: Grams of organic matter per grams of dry sediment Attribute_Measurement_Resolution: 0.001 Overview_Description: Entity_and_Attribute_Overview: The detailed attribute descriptions for the grain size workbook are provided in the included data dictionary (16CCT04_Grain_Size_Data_Dictionary.pdf). These metadata are not complete without this file. Entity_and_Attribute_Detail_Citation: Data dictionary for grain-size data tables, in: Marot, M.E., Smith, C.G., McCloskey, T.A., Locker, S.D., Khan, N.S., and Smith, K.E.L., 2019, Sedimentary Data From Grand Bay, Alabama/Mississippi, 2014-2016: U.S. Geological Survey data release, https://doi.org/10.5066/P9FO8R3Y. Distribution_Information: Distributor: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center Contact_Person: Marci E. Marot Contact_Position: Geologist Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: mmarot@usgs.gov Resource_Description: Downloadable data Distribution_Liability: This publication was prepared by an agency of the United States Government. Although these data have been processed successfully on a computer system at the U.S. Geological Survey, no warranty expressed or implied is made regarding the display or utility of the data on any other system, or for general or scientific purposes, nor shall the act of distribution imply any such warranty. The U.S. Geological Survey shall not be held liable for improper or incorrect use of the data described and (or) contained herein. Reference herein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not constitute or imply its endorsement, recommendation, or favoring by the United States Government or any agency thereof. Standard_Order_Process: Digital_Form: Digital_Transfer_Information: Format_Name: Compressed (zip) archive Format_Version_Date: 2018 Format_Specification: Multimedia presentation Format_Information_Content: These zip archives includes Microsoft Excel spreadsheets, comma-separated values text files, Portable Document Format (PDF) image files, and accompanying metadata for sediment data from surficial sediments collected from Grand Bay, Alabama/Mississippi in August 2016 (USGS FAN 2016-348-FA, project ID 16CCT04). File_Decompression_Technique: Unzip Digital_Transfer_Option: Online_Option: Computer_Contact_Information: Network_Address: Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P9FO8R3Y/data/16CCT04_SiteInformation.zip Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P9FO8R3Y/data/16CCT04_SedimentPhysicalProperties.zip Network_Resource_Name: https://coastal.er.usgs.gov/data-release/doi-P9FO8R3Y/data/16CCT04_GrainSize.zip Fees: None, if obtained online Technical_Prerequisites: The data tables for USGS FAN 2016-348-FA (project ID 16CCT04) were created in Microsoft Excel 2010 and can be opened using Microsoft Excel 2007 or higher; these data may also be viewed using the free Microsoft Excel Viewer (http://office.microsoft.com/). The data tables are also provided as comma-separated values text files (.csv). The .csv data file contains the tabular data in plain text and may be viewed with a standard text editor. Portable Document Format (PDF) files can be viewed using the free software Adobe Acrobat Reader (http://get.adobe.com/reader). Metadata_Reference_Information: Metadata_Date: 20201013 Metadata_Contact: Contact_Information: Contact_Organization_Primary: Contact_Organization: U.S. Geological Survey Contact_Person: Marci E. Marot Contact_Position: Geologist Contact_Address: Address_Type: Mailing and physical Address: 600 4th Street South City: St. Petersburg State_or_Province: FL Postal_Code: 33701 Country: USA Contact_Voice_Telephone: 727-502-8000 Contact_Electronic_Mail_Address: mmarot@usgs.gov Metadata_Standard_Name: Content Standard for Digital Geospatial Metadata Metadata_Standard_Version: FGDC-STD-001-1998 Metadata_Access_Constraints: None Metadata_Use_Constraints: Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Metadata_Security_Information: Metadata_Security_Classification_System: None Metadata_Security_Classification: Unclassified Metadata_Security_Handling_Description: None