20180716 16303100 1.0 FGDC CSDGM Metadata FALSE MagneticSurveyContours -90.932101 -79.098402 28.904012 33.343277 1 MagContoursHasLinks Relationship 002 Geographic GCS_North_American_1983 Angular Unit: Degree (0.017453) <GeographicCoordinateSystem xsi:type='typens:GeographicCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/10.6'><WKT>GEOGCS[&quot;GCS_North_American_1983&quot;,DATUM[&quot;D_North_American_1983&quot;,SPHEROID[&quot;GRS_1980&quot;,6378137.0,298.257222101]],PRIMEM[&quot;Greenwich&quot;,0.0],UNIT[&quot;Degree&quot;,0.0174532925199433],AUTHORITY[&quot;EPSG&quot;,4269]]</WKT><XOrigin>-400</XOrigin><YOrigin>-400</YOrigin><XYScale>999999999.99999988</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>8.9831528411952199e-09</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><LeftLongitude>-180</LeftLongitude><WKID>4269</WKID><LatestWKID>4269</LatestWKID></GeographicCoordinateSystem> 20210210 14410600 20210210 14410600 Oceanographer U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program (703) 787-1747 45600 Woodland Road, VAM-LD Sterling VA 20166 US marineminerals@boem.gov Monday through Friday 8:00 AM to 5:00 PM (Eastern Time) http://www.boem.gov/Marine-Minerals-Program 20210210 ArcGIS Metadata 1.0 MagneticSurveyContours 2021-02-10 U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program Sterling, VA U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program vector digital data The Magnetic Survey Contours feature class is a collection of magnetic contours derived from magnetometer surveys conducted as part of geophysical cultural/archaeological resource investigations in the immediate vicinity of offshore borrow areas and dredged material conveyance corridors. These contours help identify objects of cultural/archaeological significance, submerged infrastructure (e.g. pipelines), or unidentified debris that might affect the ability of the Bureau of Ocean Energy Management (BOEM) and its partners and/or contractors to perform non-energy marine mineral acquisition tasks. The attribute table of this feature class contains summary information such as date, project name, and information related to data acquisition (magnetometer type, sensor configuration, amplitude, etc.). The associated survey report can be accessed via the related Link Documents table. This dataset will be updated regularly as new and existing data are incorporated in to the Marine Minerals Information System geodatabase. This dataset supports the Bureau of Ocean Energy Management's (BOEM) Marine Minerals Program (MMP) mission of managing non-energy minerals (primarily sand and gravel) on the OCS. The data and information provided in this dataset helps facilitate these management efforts via the identification of potentially sensitive (e.g. archaeological/cultural) areas, submerged infrastructure, or unidentified objects that should be avoided during dredging operations in their immediate vicinity. Gamma Magnetic Anomaly Anomaly Ocean Seafloor Geophysical Survey Magnetometer Survey Offshore Gamma Magnetic Anomaly Anomaly Ocean Seafloor Geophysical Survey Magnetometer Survey Offshore 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. 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. Version 6.2 (Build 9200) ; Esri ArcGIS 10.6.1.9270 -90.932101 -79.098402 28.904012 33.343277 publication date 2021-02-10 None 1 -90.932101 -79.098402 33.343277 28.904012 20220210 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. 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 unknown 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. 2021-02-10 Lineage varies by data source. Some data was contributed, some was mapped/reformatted from scientific and technical reports for MMIS. BOEM Archives BOEM Archives 2021-02-10 U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program Multiple investigators and projects document publication date 2009-02-07 2021-02-10 8911 MagneticSurveyContours Identifies and describes anomalies created from a magnetometer survey BOEM Feature Class 8911 GlobalID_1 Globally Unique Identifier BOEM Globally Unique Identifier GlobalID_1 GlobalID 38 0 0 Contractor Name of contractor or agency that collected the data BOEM Name of contractor or agency that collected the data Contractor String 50 0 0 SHAPE Feature geometry Esri Feature geometry SHAPE Geometry 4 0 0 RuleID_1 Assigns Cartographic Representation Esri 2 -1559- -560 BOEM 3 -559 - -70 BOEM 6 1,051 - 2,550 BOEM 7 49,525 - 49,750 BOEM 1 -2,850 - -1560 BOEM 5 311 - 1,050 BOEM -1 Free Representation BOEM 4 -69 - 310 BOEM RuleID_1 Integer 4 10 0 Number_of_Sensors Number of magnetometer sensors used during survey; 1, 2, 3, etc. BOEM Number of magnetometer sensors used during survey; 1, 2, 3, etc. Number of Sensors Used SmallInteger 2 5 0 SourceDataFile File path to source data file (e.g. polyline shapefile containing original contours); not live hyperlink unless data are only hosted on an external source BOEM File path to source data file (e.g. polyline shapefile containing original contours); not live hyperlink unless data are only hosted on an external source Source Data File String 1000 0 0 SignalType Anomaly signal type: M (unspecified monopole), M+ (positive monopole), M- (Negative Monopole), D (Dipole), MC (multi-component) BOEM D Dipole BOEM M+ Positive Monopole BOEM MC Multi-Component BOEM M- Negative Monopole BOEM M Unspecified Monopole BOEM Signal Type String 2 0 0 ContourValue_gammas Isomag contour value in gammas BOEM Isomag contour value in gammas Contour Value (gammas) Double 8 38 8 Comment Additional comments or recommendations (e.g. related to survey conditions, interpreted anomaly, notable uncertainties, etc.) BOEM Additional comments or recommendations (e.g. related to survey conditions, interpreted anomaly, notable uncertainties, etc.) Comment String 250 0 0 MagContour_GlobalLinkID Globally unique identifier of related reports in Link Documents table BOEM Globally unique identifier of related reports in Link Documents table MagContour_GlobalLinkID GUID 38 0 0 OBJECTID Internal feature number Esri Internal feature number OBJECTID OID 4 10 0 MagnetometerType Specific type of scalar or vector magnetometer BOEM Specific type of scalar or vector magnetometer Magnetometer Type String 50 0 0 ProjectName Name of project/cruise/study BOEM Name of project/cruise/study Project Name String 100 0 0 SurveyNumberID Specific numerical- or letter-based designation a contractor may give to an individual survey or reference in a survey report BOEM Specific numerical- or letter-based designation a contractor may give to an individual survey or reference in a survey report Survey Number or ID String 100 0 0 AnomalyID Unique feature ID assigned during survey BOEM Unique feature ID assigned during survey Anomaly ID String 30 0 0 CoordinateSystem Original horizontal datum and units (meters, feet, etc.) used during data acquisition BOEM Original horizontal datum and units (meters, feet, etc.) used during data acquisition Coordinate System String 50 0 0 Override_1 Overrides Cartographic Representation Esri Overrides Cartographic Representation Override_1 Blob 0 0 0 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 SensorConfiguration Such as a single instrument total field magnetometer or multiple sensors in a gradiometer configuration BOEM Such as a single instrument total field magnetometer or multiple sensors in a gradiometer configuration Sensor Configuration String 100 0 0 SeaState Sea surface conditions that may affect sensor altitude consistency and data accuracy; if entries are using Beaufort scale or Douglas scale, then please specify which scale is being referenced BOEM Sea surface conditions that may affect sensor altitude consistency and data accuracy; if entries are using Beaufort scale or Douglas scale, then please specify which scale is being referenced Sea State String 250 0 0 AssociatedSurveyFiles Should contain file path to folder that contains additional files from the survey that could be referenced for mag. data accuracy (contours, grids, etc.); not live hyperlink unless hosted on an external source BOEM Should contain file path to folder that contains additional files from the survey that could be referenced for mag. data accuracy (contours, grids, etc.); not live hyperlink unless hosted on an external source Associated Survey Files String 1000 0 0 State Location relative to closest state; state funded for OCS study, two letter postal code BOEM Location relative to closest state; state funded for OCS study, two letter postal code State String 2 0 0 LeaseBlock BOEM OCS lease block(s) where the survey was completed BOEM BOEM OCS lease block(s) where the survey was completed Lease Block String 20 0 0 GlobalID Globally Unique Identifier Esri Globally Unique Identifier Global ID GUID 38 0 0 Date Date of survey (use first or last day of survey if data acquisition occurred over multiple days) BOEM Date of survey (use first or last day of survey if data acquisition occurred over multiple days) Date Date 8 0 0 ContourInterval_gammas Isomag contour interval in gammas BOEM Isomag contour interval in gammas Contour Interval (gammas) Double 8 38 8 Interpreter Name of person who processed and/or interpreted these data BOEM Name of person who processed and/or interpreted these data Interpreter String 50 0 0 SHAPE.STLength() Length of feature in internal units Esri Length of feature in internal units SHAPE.STLength() Double 0 0 0 Includes magnetic contours created from a magnetometer survey. Mapping magnetic contours provides crucial information for a number of coastal and marine spatial planning applications including selection of appropriate offshore construction sites, and planning of sand/gravel mining operations. The Bureau of Ocean Energy Management (BOEM) can use this information when managing Outer Continental Shelf (OCS) non-energy mineral resources in order to ensure that the removal and relocation of sand is conducted in a safe and environmentally sound manner, and that any potentially adverse impacts on the marine, coastal, or human environments are avoided or minimized. BOEM Feature Class dataset EPSG 6.12(3.0.1) Simple FALSE 8911 TRUE FALSE