Phi SamplesHavePhi Relationship SamplesHavePhi Relationship 002 20241028 19492900 20250115 15061200 1.0 20240327 17254900 FALSE NAP 150000000 5000 86C8F281-4E1E-459A-AAC8-213A27924595 dataset Oceanographer U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program 703-787-1747 marineminerals@boem.gov 45600 Woodland Road, VAM-LD Sterling VA 20166 US Monday through Friday 8:00 AM to 5:00 PM (Eastern Time) http://www.boem.gov/Marine-Minerals-Program http://www.boem.gov/Marine-Minerals-Program HyperText Protocol web browser BOEM MMIS website Monday through Friday 8:00 AM to 5:00 PM (Eastern Time) 20241001 ArcGIS 10.8.1 Enterprise Geodatabase Table https://geoseas.geoplatform.gov/hosting/rest/services/MMP 2024-10-01T00:00:00 U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program marineminerals@boem.gov 45600 Woodland Road, VAM-LD Sterling VA 20166 US http://www.boem.gov/Marine-Minerals-Program HyperText Protocol web browser BOEM MMIS website Monday through Friday 8:00 AM to 5:00 PM (Eastern Time) U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program tabular digital data Phi <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Phi table is a collection of datasets summarizing the grain size distribution of a sediment sample. Sets of sieves with known mesh sizes are used to sort sediment particles based on their sizes. Each "phi" represents a particular sieve level, or mesh screen size. The sieves are arranged in downward decreasing mesh size. The sieves are vibrated for a fixed period of time. The weight of sediment retained on each sieve is measured and converted into a percentage of the total sediment sample. The grain size data gathered into this MMIS table were acquired from multiple investigators and projects, whose research on or around the Outer Continental Shelf (OCS) was funded fully or partially by the Bureau of Ocean Energy Management (BOEM) or partner/stakeholder agencies. The intent is to build on the dataset as new reports and data become available. Data from pre-existing reports will be added to the dataset as time permits. Attribution consists of over 60 phi levels which represent the percentage of weight retained of a sample after smaller particles have been sieved. The Phi table is linked to the Samples table, which is subsequently linked to both the Grab Samples feature class and the Core Samples feature class.</SPAN></P></DIV></DIV></DIV> The Phi table is a collection of datasets summarizing the grain size distribution of a sediment sample. Sets of sieves with known mesh sizes are used to sort sediment particles based on their sizes. Each "phi" represents a particular sieve level, or mesh screen size. The sieves are arranged in downward decreasing mesh diameters. The sieves are vibrated for a fixed period of time. The weight of sediment retained on each sieve is measured and converted into a percentage of the total sediment sample. The grain size data gathered into this MMIS table were acquired from multiple investigators and projects, whose research on or around the Outer Continental Shelf (OCS) was funded fully or partially by the Bureau of Ocean Energy Management (BOEM) or partner/stakeholder agencies. The intent is to build upon the dataset as new reports and data become available. Data from pre-existing reports will be added to the dataset as time permits. Attribution consists of over 60 phi levels which represent the percentage of weight retained of a sample after smaller particles have been sieved. The Phi table is linked to the Samples table, which is subsequently linked to both the Grab Samples feature class and the Core Samples feature class. U.S. Department of Commerce, 1995, Countries, dependencies, areas of special sovereignty, and their principal administrative divisions, Federal Information Processing Standard (FIPS) 10-4): Washington, D.C., National Institute of Standards and Technology. 1995-01-01T00:00:00 US NASA/GCMD Location Keywords 2021-01-26T00:00:00 ATLANTIC OCEAN GULF OF MEXICO SEA FLOOR GLOBAL OCEAN Outer Continental Shelf This data is in the public domain and has no access restrictions. FIPS 199 Security Classification There are no restrictions; the data is releasable to the public. <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Bureau of Ocean Energy Management (BOEM) provides the data for use "as is". BOEM provides this information with the understanding that it is not guaranteed to be accurate, correct or complete and conclusions drawn from such information are the responsibility of the user. While every effort has been made to ensure the accuracy, correctness and timeliness of materials presented within the limits of the current state of the art, BOEM assumes no responsibility for errors or omissions, nor as a result of the failure of the data to function on a particular system. BOEM makes no warranty, expressed or implied, nor does the fact of distribution constitute such a warranty. Users are cautioned to consider carefully the provisional nature of these data and information before using them for decisions that concern personal or public safety or the conduct of business that involves substantial monetary or operational consequences. Conclusions drawn from or actions undertaken on the basis of, such data and information are the sole responsibility of the user. The maps shown here are for illustration and planning purposes only and are not suitable for site-specific decision making. The data are not suitable for navigational purposes. Information found here should not be used for making financial or any other commitments. This data was developed by the U.S. Government; no other proprietary rights may be attached to them nor may they be sold to the U.S. Government as part of any procurement of products or services. Public domain data from the U.S. Government are freely redistributable with proper metadata and source attribution. Please recognize the Bureau of Ocean Energy Management (BOEM) as the source of this information.</SPAN></P></DIV></DIV></DIV> publication date 2021-07-23T00:00:00 2024-10-01T00:00:00 None Oceanographer U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program 703-787-1747 marineminerals@boem.gov 45600 Woodland Road, VAM-LD Sterling VA 20166 US Monday through Friday 8:00 AM to 5:00 PM (Eastern Time) http://www.boem.gov/Marine-Minerals-Program http://www.boem.gov/Marine-Minerals-Program HyperText Protocol web browser BOEM MMIS website Monday through Friday 8:00 AM to 5:00 PM (Eastern Time) U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program Esri ArcPro Mesh Study Offshore Grain Size OCS Physical Research Benthic Sieve Sediment Sample Sand Phi Marine Minerals 2026-01-01T00:00:00 The MMIS data model utilizes a hierarchical structure where an ESRI enterprise geodatabase represents the top tier, and feature datasets and raster catalogs are the secondary tiers which contain groupings of similar data layers. These individual data layers were identified by MMP as important, and they make up the bottom tier. Most individual vector layers and tables are collections of data from multiple sources and across multiple dates. Extensive research went into the construction of (1) the hierarchical groupings of data (primarily by subject matter and file format) and (2) technical aspects of the data model. Data within the geodatabase was consolidated to reduce redundancy, resulting in several stand-alone tables. Relationship classes utilizing global IDs were built between vector layers and stand-alone tables in order to link disparate data. The entire MMIS data model was originally constructed using ESRI ArcGIS Diagrammer, a tool that creates and edits a geodatabase schema. The resulting geodatabase structure, data, and relationship classes were reviewed thoroughly by multiple individuals using ESRI Geodatabase Diagrammer Add-In, ESRI ArcGIS, and Microsoft Visio. ESRI Geodatabase Diagrammer Add-In creates a detailed break-down of the geodatabase and a Visio data model poster. Conceptual consistency: adherence to rules of the conceptual schema The MMIS data model utilizes a hierarchical structure where an ESRI enterprise geodatabase represents the top tier, and feature datasets and raster catalogs are the secondary tiers which contain groupings of similar data layers. These individual data layers were identified by MMP as important, and they make up the bottom tier. Most individual vector layers and tables are collections of data from multiple sources and across multiple dates. Extensive research went into the construction of (1) the hierarchical groupings of data (primarily by subject matter and file format) and (2) technical aspects of the data model. Data within the geodatabase was consolidated to reduce redundancy, resulting in several stand-alone tables. Relationship classes utilizing global IDs were built between vector layers and stand-alone tables in order to link disparate data. The entire MMIS data model was originally constructed using ESRI ArcGIS Diagrammer, a tool that creates and edits a geodatabase schema. The resulting geodatabase structure, data, and relationship classes were reviewed thoroughly by multiple individuals using ESRI Geodatabase Diagrammer Add-In, ESRI ArcGIS, and Microsoft Visio. ESRI Geodatabase Diagrammer Add-In creates a detailed break-down of the geodatabase and a Visio data model poster. The spatial data and attribute tables loaded into the MMIS data model are believed to be complete, in regards to maintaining each data layer/table after retrieving it from its source. Please refer to the scientific reports, as well as BOEM MMP Leases, negotiated agreements, Memoranda of Agreements, and project completion reports, for discussions of the results on the corresponding source data. Most individual vector layers and tables in the MMIS data model are collections of data from multiple sources and across multiple dates. Most likely, these MMIS layers/tables will continue to have more data loaded in the future, therefore expanding upon the list of sources and dates. Additionally, the Pacific Outer Continental Shelf (OCS) and Alaska OCS regions may eventually be added to the data model, aside from the Atlantic and Gulf of Mexico OCS regions. Completeness omission: data absent from the dataset, as described by the scope The spatial data and attribute tables loaded into the MMIS data model are believed to be complete, in regards to maintaining each data layer/table after retrieving it from its source. Please refer to the scientific reports, as well as BOEM MMP Leases, negotiated agreements, Memoranda of Agreements, and project completion reports, for discussions of the results on the corresponding source data. Most individual vector layers and tables in the MMIS data model are collections of data from multiple sources and across multiple dates. Most likely, these MMIS layers/tables will continue to have more data loaded in the future, therefore expanding upon the list of sources and dates. Additionally, the Pacific Outer Continental Shelf (OCS) and Alaska OCS regions may eventually be added to the data model, aside from the Atlantic and Gulf of Mexico OCS regions. Please refer to the scientific reports, as well as Bureau of Ocean Energy Management (BOEM) Marine Minerals Program (MMP) Leases, negotiated agreements, cooperative agreements, Memoranda of Agreements, and project completion reports, for accuracy statements on the corresponding source data. These documents are referenced in the attribute tables, where appropriate. In regards to attribute assignment in the Marine Minerals Information Systems (MMIS) data model, every effort was made to load source data into MMIS without error or modification. Some attributes contain domain restrictions in an effort to standardize the field entries and to decrease potential inconsistent entries (e.g., spelling, grammar, typographical errors, and subject matter) in the attribute. Quantitative attribute accuracy: accuracy of quantitative attributes Please refer to the scientific reports, as well as Bureau of Ocean Energy Management (BOEM) Marine Minerals Program (MMP) Leases, negotiated agreements, cooperative agreements, Memoranda of Agreements, and project completion reports, for accuracy statements on the corresponding source data. These documents are referenced in the attribute tables, where appropriate. In regards to attribute assignment in the Marine Minerals Information Systems (MMIS) data model, every effort was made to load source data into MMIS without error or modification. Some attributes contain domain restrictions in an effort to standardize the field entries and to decrease potential inconsistent entries (e.g., spelling, grammar, typographical errors, and subject matter) in the attribute. unknown Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true unknown Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true Lineage varies by data source. Some data was contributed, some was mapped/reformatted from scientific and technical reports for MMIS. BOEM Archives BOEM Archives 2024-10-01T00:00:00 Multiple investigators and projects U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program document publication date 2024-10-01T00:00:00 The spatial and tabular data presented in this dataset was identified by the Bureau of Ocean Energy Management (BOEM) Marine Minerals Program (MMP) for the MMIS project as being critical for MMP's decision making and management responsibilities of federal Outer Continental Shelf (OCS) mineral exploration and federal non-energy sand/gravel lease activities. The data was retrieved directly from BOEM, or another government entity, in the form of one or more ArcGIS shapefiles, raster (grid) layers, Microsoft Excel spreadsheets, XYZ files, field logs, project reports, PDF tables, and maps. This data was linked to source documents including environmental study reports and data deliverables associated with Negotiated Non-Competitive Leases or Memorandum of Agreements between BOEM and partnering agencies or contractors. First, the source data was reformatted, if needed, into an ESRI ArcGIS compatible format and then loaded into a project-specific geodatabase in its native projection. Second, the data was reprojected into the NAD83 geodetic reference system and then loaded into corresponding layers and tables in the MMIS enterprise geodatabase. Relationship classes were made between disparate layers and tables to join related data. Lastly, for use in the web application, a duplicate "publishable" MMIS enterprise geodatabase was created in a Web Mercator (Auxiliary Sphere) projection. For specific process information regarding acquisition, please reference the individual study reports. 2024-10-01T00:00:00 Phi Contains information regarding grain size distribution within a core or grab sample BOEM Table 29293 PHI_N_04 Weight percent retained of sample of grain size -4 phi. BOEM Weight percent retained of sample of grain size -4 phi. Phi -4 (% retained) Double 8 38 8 PHI_N_03 Weight percent retained of sample of grain size -3 phi. BOEM Weight percent retained of sample of grain size -3 phi. Phi -3 (% retained) Double 8 38 8 PHI_N_06_50 Weight percent retained of sample of grain size -6.5 phi. BOEM Weight percent retained of sample of grain size -6.5 phi. Phi -6.5 (% retained) Double 8 38 8 PHI_N_06_25 Weight percent retained of sample of grain size -6.25 phi. BOEM Weight percent retained of sample of grain size -6.25 phi. Phi -6.25 (% retained) Double 8 38 8 PHI_N_10Less Weight percent retained of sample of grain size -10 phi. BOEM Weight percent retained of sample of grain size -10 phi. Phi -10 or less (% retained) Double 8 38 8 PHI_N_09 Weight percent retained of sample of grain size -9 phi. BOEM Weight percent retained of sample of grain size -9 phi. Phi -9 (% retained) Double 8 38 8 PHI_N_02_75 Weight percent retained of sample of grain size -2.75 phi. BOEM Weight percent retained of sample of grain size -2.75 phi. Phi -2.75 (% retained) Double 8 38 8 PHI_N_02_25 Weight percent retained of sample of grain size -2.25 phi. BOEM Weight percent retained of sample of grain size -2.25 phi. Phi -2.25 (% retained) Double 8 38 8 PHI_N_04_75 Weight percent retained of sample of grain size -4.75 phi. BOEM Weight percent retained of sample of grain size -4.75 phi. Phi -4.75 (% retained) Double 8 38 8 PHI_N_05_50 Weight percent retained of sample of grain size -5.5 phi. BOEM Weight percent retained of sample of grain size -5.5 phi. Phi -5.5 (% retained) Double 8 38 8 PHI_N_05 Weight percent retained of sample of grain size -5 phi. BOEM Weight percent retained of sample of grain size -5 phi. Phi -5 (% retained) Double 8 38 8 PHI_N_06 Weight percent retained of sample of grain size -6 phi. BOEM Weight percent retained of sample of grain size -6 phi. Phi -6 (% retained) Double 8 38 8 StudyID Study ID of the study in which the feature was identified. Study ID following the convention noted in the Data Management Plan BOEM Study ID of the study in which the feature was identified. Study ID following the convention noted in the Data Management Plan Study ID String 250 0 0 PHI_N_01_75 Weight percent retained of sample of grain size -1.75 phi. BOEM Weight percent retained of sample of grain size -1.75 phi. Phi -1.75 (% retained) Double 8 38 8 PHI_N_05_25 Weight percent retained of sample of grain size -5.25 phi. BOEM Weight percent retained of sample of grain size -5.25 phi. Phi -5.25 (% retained) Double 8 38 8 PHI_02 Weight percent retained of sample of grain size 2 phi. BOEM Weight percent retained of sample of grain size 2 phi. Phi 2 (% retained) Double 8 38 8 SampleID Sample ID as indicated by the study BOEM Sample ID as indicated by the study Sample ID String 50 0 0 PHI_N_01_50 Weight percent retained of sample of grain size -1.5 phi. BOEM Weight percent retained of sample of grain size -1.5 phi. Phi -1.5 (% retained) Double 8 38 8 PHI_N_05_75 Weight percent retained of sample of grain size -5.75 phi. BOEM Weight percent retained of sample of grain size -5.75 phi. Phi -5.75 (% retained) Double 8 38 8 PHI_01 Weight percent retained of sample of grain size 1 phi. BOEM Weight percent retained of sample of grain size 1 phi. Phi 1 (% retained) Double 8 38 8 PHI_02_50 Weight percent retained of sample of grain size 2.5 phi. BOEM Weight percent retained of sample of grain size 2.5 phi. Phi 2.5 (% retained) Double 8 38 8 PHI_00_50 Weight percent retained of sample of grain size 0.5 phi. BOEM Weight percent retained of sample of grain size 0.5 phi. Phi 0.5 (% retained) Double 8 38 8 PHI_10Greater Weight percent retained of sample of grain size 10 phi or larger. BOEM Weight percent retained of sample of grain size 10 phi or larger. Phi 10 or Greater (% retained) Double 8 38 8 PHI_04_75 Weight percent retained of sample of grain size 4.75 phi. BOEM Weight percent retained of sample of grain size 4.75 phi. Phi 4.75 (% retained) Double 8 38 8 PHI_N_08 Weight percent retained of sample of grain size -8 phi. BOEM Weight percent retained of sample of grain size -8 phi. Phi -8 (% retained) Double 8 38 8 PHI_N_07 Weight percent retained of sample of grain size -7 phi. BOEM Weight percent retained of sample of grain size -7 phi. Phi -7 (% retained) Double 8 38 8 PHI_05 Weight percent retained of sample of grain size 5 phi. BOEM Weight percent retained of sample of grain size 5 phi. Phi 5 (% retained) Double 8 38 8 PHI_N_02 Weight percent retained of sample of grain size -2 phi. BOEM Weight percent retained of sample of grain size -2 phi. Phi -2 (% retained) Double 8 38 8 PHI_04_25 Weight percent retained of sample of grain size 4.25 phi. BOEM Weight percent retained of sample of grain size 4.25 phi. Phi 4.25 (% retained) Double 8 38 8 PHI_N_00_25 Weight percent retained of sample of grain size -0.25 phi. BOEM Weight percent retained of sample of grain size -0.25 phi. Phi -0.25 (% retained) Double 8 38 8 PHI_00 Weight percent retained of sample of grain size 0 phi. BOEM Weight percent retained of sample of grain size 0 phi. Phi 0 (% retained) Double 8 38 8 Phi_GlobalTableID Uniquely identifies a Phi record to a sample BOEM Uniquely identifies a Phi record to a sample Global Table ID GUID 38 0 0 PHI_N_00_50 Weight percent retained of sample of grain size -0.5 phi. BOEM Weight percent retained of sample of grain size -0.5 phi. Phi -0.5 (% retained) Double 8 38 8 PHI_04_50 Weight percent retained of sample of grain size 4.5 phi. BOEM Weight percent retained of sample of grain size 4.5 phi. Phi 4.5 (% retained) Double 8 38 8 PHI_N_04_50 Weight percent retained of sample of grain size -4.5 phi. BOEM Weight percent retained of sample of grain size -4.5 phi. Phi -4.5 (% retained) Double 8 38 8 PHI_02_75 Weight percent retained of sample of grain size 2.75 phi. BOEM Weight percent retained of sample of grain size 2.75 phi. Phi 2.75 (% retained) Double 8 38 8 PHI_06 Weight percent retained of sample of grain size 6 phi. BOEM Weight percent retained of sample of grain size 6 phi. Phi 6 (% retained) Double 8 38 8 PHI_03_50 Weight percent retained of sample of grain size 3.5 phi. BOEM Weight percent retained of sample of grain size 3.5 phi. Phi 3.5 (% retained) Double 8 38 8 PHI_N_03_75 Weight percent retained of sample of grain size -3.75 phi. BOEM Weight percent retained of sample of grain size -3.75 phi. Phi -3.75 (% retained) Double 8 38 8 PHI_03_75 Weight percent retained of sample of grain size 3.75 phi. BOEM Weight percent retained of sample of grain size 3.75 phi. Phi 3.75 (% retained) Double 8 38 8 PHI_N_03_50 Weight percent retained of sample of grain size -3.5 phi. BOEM Weight percent retained of sample of grain size -3.5 phi. Phi -3.5 (% retained) Double 8 38 8 OBJECTID Internal feature number Esri Internal feature number OBJECTID OID 4 10 0 PHI_N_02_50 Weight percent retained of sample of grain size -2.5 phi. BOEM Weight percent retained of sample of grain size -2.5 phi. Phi -2.5 (% retained) Double 8 38 8 PHI_N_04_25 Weight percent retained of sample of grain size -4.25 phi. BOEM Weight percent retained of sample of grain size -4.25 phi. Phi -4.25 (% retained) Double 8 38 8 PHI_N_01 Weight percent retained of sample of grain size -1 phi. BOEM Weight percent retained of sample of grain size -1 phi. Phi -1 (% retained) Double 8 38 8 PHI_04 Weight percent retained of sample of grain size 4 phi. BOEM Weight percent retained of sample of grain size 4 phi. Phi 4 (% retained) Double 8 38 8 PHI_03_25 Weight percent retained of sample of grain size 3.25 phi. BOEM Weight percent retained of sample of grain size 3.25 phi. Phi 3.25 (% retained) Double 8 38 8 PHI_07 Weight percent retained of sample of grain size 7 phi. BOEM Weight percent retained of sample of grain size 7 phi. Phi 7 (% retained) Double 8 38 8 PHI_00_75 Weight percent retained of sample of grain size 0.75 phi. BOEM Weight percent retained of sample of grain size 0.75 phi. Phi 0.75 (% retained) Double 8 38 8 PHI_01_25 Weight percent retained of sample of grain size 1.25 phi. BOEM Weight percent retained of sample of grain size 1.25 phi. Phi 1.25 (% retained) Double 8 38 8 PHI_09 Weight percent retained of sample of grain size 9 phi. BOEM Weight percent retained of sample of grain size 9 phi. Phi 9 (% retained) Double 8 38 8 PHI_N_01_25 Weight percent retained of sample of grain size -1.25 phi. BOEM Weight percent retained of sample of grain size -1.25 phi. Phi -1.25 (% retained) Double 8 38 8 PHI_N_00_75 Weight percent retained of sample of grain size -0.75 phi. BOEM Weight percent retained of sample of grain size -0.75 phi. Phi -0.75 (% retained) Double 8 38 8 PHI_08 Weight percent retained of sample of grain size 8 phi. BOEM Weight percent retained of sample of grain size 8 phi. Phi 8 (% retained) Double 8 38 8 PHI_00_25 Weight percent retained of sample of grain size 0.25 phi. BOEM Weight percent retained of sample of grain size 0.25 phi. Phi 0.25 (% retained) Double 8 38 8 PHI_03 Weight percent retained of sample of grain size 3 phi. BOEM Weight percent retained of sample of grain size 3 phi. Phi 3 (% retained) Double 8 38 8 PHI_01_75 Weight percent retained of sample of grain size 1.75 phi. BOEM Weight percent retained of sample of grain size 1.75 phi. Phi 1.75 (% retained) Double 8 38 8 PHI_N_03_25 Weight percent retained of sample of grain size -3.25 phi. BOEM Weight percent retained of sample of grain size -3.25 phi. Phi -3.25 (% retained) Double 8 38 8 PHI_01_50 Weight percent retained of sample of grain size 1.5 phi. BOEM Weight percent retained of sample of grain size 1.5 phi. Phi 1.5 (% retained) Double 8 38 8 Comments Additional comments or notes containg supporting information BOEM Additional comments or notes containg supporting information Comments String 250 0 0 PHI_02_25 Weight percent retained of sample of grain size 2.25 phi. BOEM Weight percent retained of sample of grain size 2.25 phi. Phi 2.25 (% retained) Double 8 38 8 PHI_N_06_75 Weight percent retained of sample of grain size -6.75 phi. BOEM Weight percent retained of sample of grain size -6.75 phi. Phi -6.75 (% retained) Double 8 38 8 created_user created_user Stores the name of the user who creates features or records Esri Text 255 Read-only. Stores the name of the user who creates features or records. 0 0 created_date created_date Stores the date and time a feature or record was created Esri Date 8 Read-only. Stores the date and time a feature or record was created. 0 0 last_edited_user last_edited_user Stores the name of the user who last edited a feature or record Esri Text 255 Read-only. Stores the name of the user who last edited a feature or record. 0 0 last_edited_date last_edited_date Stores the date a feature or record was last edited Esri Date 8 Read-only. Stores the date a feature or record was last edited. 0 0 Studying the grain size distribution of sediment samples is important for many reasons. For example, sediments structure benthic communities because of grain size preferences by various organisms. Also, the rate and manner in which sediment particles are transported to the sea, and the rate at which they sink to the sea floor is controlled by their size. Similarly, particle size provides information about how much energy was necessary to carry that particle as well as the environment in which the particle was transported and deposited. Lastly, the grain size distribution of particles is one of the many factors used in the determination of suitability for prospective use in beach nourishment and coastal rehabilitation. The data derived from the Phi table will provide a synthesis of the Outer Continental Shelf (OCS) sedimentation and geology to support a wide variety of planning and management decisions and to provide a basis for further process-oriented investigations. BOEM