20240327
17293500
1.0
FALSE
SurficialSedimentFootprints
-10836367.471400
-7749400.577300
2745482.403600
5438154.950200
1
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' 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/3.2.0'><WKT>PROJCS["WGS_1984_Web_Mercator_Auxiliary_Sphere",GEOGCS["GCS_WGS_1984",DATUM["D_WGS_1984",SPHEROID["WGS_1984",6378137.0,298.257223563]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Mercator_Auxiliary_Sphere"],PARAMETER["False_Easting",0.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",0.0],PARAMETER["Standard_Parallel_1",0.0],PARAMETER["Auxiliary_Sphere_Type",0.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3857]]</WKT><XOrigin>-20037700</XOrigin><YOrigin>-30241100</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>102100</WKID><LatestWKID>3857</LatestWKID></ProjectedCoordinateSystem>
WGS_1984_Web_Mercator_Auxiliary_Sphere
20241028
19555700
20250115
15161400
NAP
150000000
5000
A5F83DDF-5B86-47DA-942D-36606907E563
dataset
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
Oceanographer
703-787-1747
45600 Woodland Road, VAM-LD
Sterling
VA
20166
US
marineminerals@boem.gov
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)
http://www.boem.gov/Marine-Minerals-Program
20241001
ArcGIS Metadata
1.0
Feature Class
ArcGIS 10.8.1
SurficialSedimentFootprints
2024-10-01T00:00:00
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
45600 Woodland Road, VAM-LD
Sterling
VA
20166
US
marineminerals@boem.gov
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
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Surficial Sediment Footprints (polygon) feature class contains a collection of footprints which outline the geographic areas where surficial sediment/substrate has been classified via interpretations of sonar bathymetry, backscatter, side-scan sonar, and or interpolated using sediment data from geotechnical sampling / coring. To eliminate the potential of misrepresenting a very diverse field of information in a single feature class, the data itself is not presented here. Rather, this feature class is intended to assist users in understanding what data and data products are available. A citation is provided so that users may identify and locate the complete datasets if desired. Most of the studies represented herein were fully or partially funded by the Bureau of Ocean Energy Management (BOEM) or former Minerals Management Service (MMS). Attribution consists of study ID, substrate description/classification method, qualitative scale, data source file name, study report citation, and link to the study report and/or complete dataset (if available). Original study reports can be accessed via the related Link Documents table within the Marine Minerals Information System (MMIS) geodatabase. This dataset will be updated as new and existing data are received and incorporated in to the Marine Minerals Information System (MMIS) geodatabase.</SPAN></P></DIV></DIV></DIV>
Mapping seabed features provides crucial information for a number of coastal and marine spatial planning applications. Seafloor maps can be used to help identify critical habitat areas for benthic organisms (e.g. clams, corals, demersal fish), select appropriate offshore construction sites, and plan sand/gravel mining operations. Seafloor maps may also contain critical information on hazards or sensitive areas to avoid. 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.
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
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)
http://www.boem.gov/Marine-Minerals-Program
SeaDataNet Common Vocabularies
2019-01-01
Marine Geology
Sediment
Substrate
Texture
Ocean
Hydrographic Survey
Seafloor
Geophysical Survey
Geoform
Geological
Natural
Bathymetry
Side Scan Sonar
Echosounder
Offshore
CMECS
Marine Geology
<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>
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.
Esri ArcPro
publication date
1984-11-01T00:00:00
2024-10-01T00:00:00
true
-97.344738
-69.613873
23.934937
43.823401
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/.
1
-97.344745
-69.614050
43.823410
23.934941
2026-01-01T00:00:00
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 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.
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.
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.
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.
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.
Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true
unknown
Absolute 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
Lineage varies by data source. Data delivered in geospatial format are footprinted via the processing steps below. Data delivered in non-geospatial format is converted and then footprinted. Attribution is assigned with information from the scientific/technical reports and/or other deliverables accompanying the data.
BOEM Archives
BOEM Archives
2024-10-01T00:00:00
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
45600 Woodland Road, VAM-LD
Sterling
VA
20166
US
marineminerals@boem.gov
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)
Multiple investigators and projects
publication date
1989-01-01T00:00:00
2024-10-01T00:00:00
Lineage varies by data source. Data delivered in geospatial format are footprinted via the processing steps below. Data delivered in non-geospatial format is converted and then footprinted. Attribution is assigned with information from the scientific/technical reports and/or other deliverables accompanying the data.
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. Second, a footprint bounding all features in the dataset was created via the most logical method for each dataset (such as merging all features into one feature, applyting the Minimum Bounding Extent tool, or tracing the outermost extents with the Editor tools), and any voids were removed from the resulting polygon. Then,
the footprint was reprojected into the NAD83 geodetic reference system (if necesasry) and 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
13
EPSG
6.5(3.0.1)
6.18.3(9.3.1.2)
true
true
Feature Catalogue for SurficialSedimentFootprints
2024-10-01T00:00:00
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
45600 Woodland Road, VAM-LD
Sterling
VA
20166
US
marineminerals@boem.gov
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)
SurficialSedimentFootprints
Feature Class
13
Feature Class
Esri
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
StudyID
Study ID
String
250
0
0
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
ClassificationSystem
Classification System
String
50
0
0
Sediment classification system employed in the dataset the footprint represents.
BOEM
Shepard
Shepard
BOEM
Barnhardt
Barnhardt
BOEM
Wentworth
Wentworth
BOEM
Folk
Folk
BOEM
USCS
USCS
BOEM
CMECS
CMECS
BOEM
Other
Other
BOEM
Unknown
Unknown
BOEM
Scale
Scale
String
50
0
0
Qualitiative scale of the dataset represented by the footprint as assigned by the MMIS team or data submitter. For example, a dataset spanning the Gulf of Mexico OCS would be Basin scale, one spaning the Delmarva area would be Region, all or a portion of the Delaware coastline would be State, and one concentrated on a particular shoal or shoal field would be Site level scale. Other should be used when none of the above are appropriate.
BOEM
Basin
Basin
BOEM
Region
Region
BOEM
State
State
BOEM
Site
Site
BOEM
StudyCitation
Study Citation
String
1000
0
0
Council of Science Editors (CSE) style citation of the report/study that produced the dataset represented by the footprint.
BOEM
Council of Science Editors (CSE) style citation of the report/study that produced the dataset represented by the footprint.
Link
Link
String
1000
0
0
Web link to a publicly available copy of the complete dataset and/ore report represented by the footprint (if known).
BOEM
Web link to a publicly available copy of the complete dataset and/ore report represented by the footprint (if known).
Comments
Comments
String
1000
0
0
Additional notes and clarifications about the footprint or the dataset it represents that may be useful to users.
BOEM
Additional notes and clarifications about the footprint or the dataset it represents that may be useful to users.
SurfSeds_GlobalLinkID
Global Link ID
GUID
38
0
0
Unique identifier that links the feature to the Study report
BOEM
Unique identifier that links the feature to the Study report
DataSource
Data Source
String
100
0
0
File name of datasets delivered in geospatial format. Digitization references of datasets delivered in non-geospatial format.
BOEM
File name of datasets delivered in geospatial format. Digitization references of datasets delivered in non-geospatial format.
RuleID
RuleID
Integer
4
10
0
Assigns cartographic representation
Esri
Assigns cartographic representation
created_user
created_user
String
255
0
0
created_user
Esri
created_user
created_date
created_date
Date
8
0
0
created_date
Esri
created_date
last_edited_user
last_edited_user
String
255
0
0
last_edited_user
Esri
last_edited_user
last_edited_date
last_edited_date
Date
8
0
0
last_edited_date
Esri
last_edited_date
Shape
SHAPE
Geometry
8
0
0
Feature geometry.
Esri
Coordinates defining the features.
Shape.STArea()
Shape.STArea()
Double
0
0
0
Shape.STArea()
Esri
Shape.STArea()
Shape.STLength()
Shape.STLength()
Double
0
0
0
Shape.STLength()
Esri
Shape.STLength()
Simple
FALSE
13
TRUE
FALSE