CoreLayers LayersHaveSamples Relationship LayersHaveSamples Relationship CoresHaveLayers Relationship 002 20241028 19402800 20250115 15021200 1.0 20240327 17231300 FALSE NAP 150000000 5000 67C75AEC-B34C-4E74-86F0-132CD68A9215 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 CoreLayers <DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Core Layers Table contains general information related to layers described and or sampled within a core or boring. Attributes include Study Area ID, core ID, core layer ID, sample ID, top and bottom interval of the layer, Mean Phi, Munsell Color, lithologic description, sediment classification and classification system. Each entry in this table is related to a feature in the CoreSamples feature class of the MMIS geodatabase.</SPAN></P></DIV></DIV></DIV> In many cases multiple layers exist within a single core. Thus, a relational CoreLayers Table was created to house this many-to-one information. This table is intended to provide information pertaining to the sedimentary characteristics of a each layer described within cores and borings. The information contained in and linked to this table supports a wide variety of planning and management decisions and may provide a basis for future investigations of non-energy OCS mineral resources. 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 2021-07-26T00:00:00 ATLANTIC OCEAN GULF OF MEXICO SEA FLOOR GLOBAL OCEAN NORTH ATLANTIC OCEAN Outer Continental Shelf NASA/GCMD Project Keywords 2021-07-26T00:00:00 OCS > Outer Continental Shelf Program NASA/GCMD Science Keywords 2021-07-26T00:00:00 EARTH SCIENCE > Oceans > Marine Environment Monitoring EARTH SCIENCE > Oceans > Marine Sediments EARTH SCIENCE > Paleoclimate > Ocean/Lake Records > Sediments EARTH SCIENCE > Oceans > Marine Sediments > Sedimentary Textures Library of Congress Subject Headings 2021-07-26T00:00:00 Oceanography Scientific archives Geology Ocean Bottom Electronic records Submarine geology SeaDataNet Common Vocabularies 2022-11-14T00:00:00 Marine Geology USGS Science Topics 2005-01-01T00:00:00 Sea-floor characteristics ISO 19115 Topic Categories 2005-03-01T00:00:00 Oceans NASA/GCMD Location Keywords 2021-07-26T00:00:00 GEOGRAPHIC REGION > GLOBAL OCEAN VERTICAL LOCATION > SEA FLOOR 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 PDF versions of bore logs, penetrometer logs, grain-size distribution curves, and core photos are further linked to the related Samples tables via the Sample Attachments table (currently accessible by BOEM MMP staff only but can be provided upon request). The most current version of this dataset can be downloaded via the Marine Minerals Information System (MMIS) viewer at https://mmis.boem.gov/. For additional information pertaining to BOEM's marine minerals program and OCS resource management please visit https://www.boem.gov/Marine-Minerals-Program/. 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 Physical Habitats Vibracores Geoscientific Information Geophysical Survey Sand Resources Cores Mineral Resources Push Core Stratigraphic Geomorphology Jet Probe Box Core Substrate 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 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 were retrieved directly from BOEM, or another government entity, in the form of one or more ArcGIS shapefiles, Microsoft Excel spreadsheets, field logs, project reports, PDF tables, and maps. These data were linked to source documents provided to BOEM by partnering agencies or contractors. First, the source data was reformatted (e.g. crosswalked, digitized, etc.), if needed, into an ESRI ArcGIS compatible format (stand-alone table) and then loaded into a project-specific geodatabase in its native projection (e.g. of associated cores). Second, the data were reprojected into the NAD83 geodetic reference system and then loaded into corresponding layers and tables in the MMIS enterprise geodatabase. Simple relationship classes were then established with the Core Samples feature class and the Samples table 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 CoreLayers Contains information regarding individual layers within a core sample BOEM Table 28178 MunsellHueWet Munsell hue wet, NOTE FOR LAYERS WITH GLEY HUE: Corresponding chroma entry only contains numeric portion of chroma designation (e.g. '10' instead of '10GY'); (if applicable) complete alphanumeric chroma designations is noted in the Sediment Description attribute field. BOEM Munsell hue wet, NOTE FOR LAYERS WITH GLEY HUE: Corresponding chroma entry only contains numeric portion of chroma designation (e.g. '10' instead of '10GY'); (if applicable) complete alphanumeric chroma designations is noted in the Sediment Description attribute field. Munsell Hue Wet String 10 0 0 MunsellChromaWet Munsell chroma wet, NOTE FOR LAYERS WITH GLEY HUE: Corresponding chroma entry only contains numeric portion of chroma designation (e.g. '10' instead of '10GY'); (if applicable) complete alphanumeric chroma designations is noted in the Sediment Description attribute field. BOEM Munsell chroma wet, NOTE FOR LAYERS WITH GLEY HUE: Corresponding chroma entry only contains numeric portion of chroma designation (e.g. '10' instead of '10GY'); (if applicable) complete alphanumeric chroma designations is noted in the Sediment Description attribute field. Munsell Chroma Wet Double 8 38 8 CoreID Core ID as indicated by the study BOEM Core ID as indicated by the study Core ID String 50 0 0 SedimentClassification Sediment classification code corresponding to method of classification (SP, SM, etc for USCS; mG, sG, etc for Folk) BOEM Sediment classification code corresponding to method of classification (SP, SM, etc for USCS; mG, sG, etc for Folk) Sediment Classification String 50 0 0 SampleID Sample ID as indicated by the study BOEM Sample ID as indicated by the study Sample ID String 100 0 0 BottomInterval Bottom of Layer Interval (feet; positive value) BOEM Bottom of Layer Interval (feet; positive value) Bottom of Layer Interval Double 8 38 8 CoreLayerID Core layer ID as indicated by the study BOEM Core layer ID as indicated by the study Core Layer ID String 50 0 0 ClassificationSystem Folk, Shepard, USCS, etc BOEM Folk, Shepard, USCS, etc Classification System String 15 0 0 Layers_GlobalSampleID Uniquely identifies a Core Layer record to the Core Samples FC BOEM Uniquely identifies a Core Layer record to the Core Samples FC Global Sample ID GUID 38 0 0 TopInterval Top of Layer Interval (in positive values) in feet BOEM Top of Layer Interval (in positive values) in feet Top of Layer Interval 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 GlobalLayerID Uniquely identifies a Core Layer to the Sample table BOEM Uniquely identifies a Core Layer to the Sample table Global Layer ID GUID 38 0 0 PhiMean Mean phi grain size BOEM Mean phi grain size Mean Phi Double 8 38 8 OBJECTID Internal feature number Esri Internal feature number OBJECTID OID 4 10 0 SedimentDescription Additional sediment descriptions BOEM Additional sediment descriptions Sediment Description String 1000 0 0 MunsellValueWet Munsell value wet, NOTE FOR LAYERS WITH GLEY HUE: Corresponding chroma entry only contains numeric portion of chroma designation (e.g. '10' instead of '10GY'); (if applicable) complete alphanumeric chroma designations is noted in the Sediment Description attribute field. BOEM Munsell value wet, NOTE FOR LAYERS WITH GLEY HUE: Corresponding chroma entry only contains numeric portion of chroma designation (e.g. '10' instead of '10GY'); (if applicable) complete alphanumeric chroma designations is noted in the Sediment Description attribute field. Munsell Value Wet 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 Because multiple layers can exist within a single core, a relational CoreLayers Table was created to house this many-to-one information. It is intended to provide additional information on the sedimentary characteristics of a layer outside of location and acquisition. The information contained in and linked to this table will provide a synthesis of the Outer Continental Shelf (OCS) geology to support a wide variety of planning and management decisions, and to provide a basis for further process-oriented investigations. BOEM