20240327
17264000
1.0
NAP
002
ShoreStudyAreas
-10406158.049900
-7788578.125100
3115380.908100
5316259.640300
1
-
ShoreStudyHasLinks
Relationship
-
ShoreStudyHaveLinkDocs
Relationship
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
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<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Shore Study Areas layer contains polygons delineating locations along the U.S. coastline that have experienced increased erosion and, as a result, prompted environmental studies to determine (1) the extent of erosion, (2) baseline documentation of shore sediment character, and (3) if the site could benefit from shoreline stabilization and beach nourishment in order to reduce coastal storm flooding and erosion, and provide economic, cultural, recreational, and environmental habitat benefits. If a shoreline area is designated as being in need of restoration and renourishment, and a composite match is made between the shore sand and sand in the Federal Outer Continental Shelf (OCS), then entities may enter into a Negotiated Non-Competitive Lease or Memoranda of Agreement with the Bureau of Ocean Energy Management (BOEM), in order to dredge sand, gravel, or shell resources from the OCS. Section 8 (k) of the OCS Lands Act (OCSLA) as amended by Public Law 103-426 (enacted in 1994) gives BOEM the authority to negotiate an agreement for the use of OCS sand, gravel, and shell resources for use in: (1) a project for shore protection, beach restoration, or coastal restoration undertaken by a Federal, State, or local government agency; or (2) for use in a construction project funded in whole or in part by or authorized by the Federal government. This dataset is a collection of previous and current shore study areas. Attribution consists of Study ID, year of study, and summarized sediment descriptions. The polygon extents are not guaranteed to be exact and may contain estimate boundaries delineated based on visual interpretation of drawings and descriptions found in study documents. The dataset will be updated on a regular basis to reflect new and previous study areas.</SPAN></P></DIV></DIV></DIV>
ShoreStudyAreas
2024-10-01T00:00:00
vector digital data
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
-97.753529
-66.82347
45.332495
23.803551
publication date
2021-07-23T00:00:00
2024-10-01T00:00:00
-93.480108
-69.965988
43.028164
26.935222
1
Oceanographer
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
703-787-1747
http://www.boem.gov/Marine-Minerals-Program
HyperText Protocol
web browser
BOEM MMIS website
http://www.boem.gov/Marine-Minerals-Program
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
Beach
GULF OF MEXICO
Environment
Sand
Mineral Resources
Geophysical Survey
Non-Energy
Dredging
Geological
Survey
Beach Nourishment
Study
ATLANTIC OCEAN
Sand Resources
Biological Research
OCS
Outer Continental Shelf
Habitat Assessment
Mining and Mineral Extraction
Shoreline
Benthic
Offshore
GLOBAL OCEAN
Physical Oceanography
NORTH ATLANTIC OCEAN
SEA FLOOR
US
Chemical Research
Restoration
Physical Research
Sediment Characteristics
Erosion
The Shore Study Areas layer contains polygons delineating locations along the U.S. coastline that have experienced increased erosion and, as a result, prompted environmental studies to determine (1) the extent of erosion, (2) baseline documentation of shore sediment character, and (3) if the site could benefit from shoreline stabilization and beach nourishment in order to reduce coastal storm flooding and erosion, and provide economic, cultural, recreational, and environmental habitat benefits. If a shoreline area is designated as being in need of restoration and renourishment, and a composite match is made between the shore sand and sand in the Federal Outer Continental Shelf (OCS), then entities may enter into a Negotiated Non-Competitive Lease or Memoranda of Agreement with the Bureau of Ocean Energy Management (BOEM), in order to dredge sand, gravel, or shell resources from the OCS. Section 8 (k) of the OCS Lands Act (OCSLA) as amended by Public Law 103-426 (enacted in 1994) gives BOEM the authority to negotiate an agreement for the use of OCS sand, gravel, and shell resources for use in: (1) a project for shore protection, beach restoration, or coastal restoration undertaken by a Federal, State, or local government agency; or (2) for use in a construction project funded in whole or in part by or authorized by the Federal government. This dataset is a collection of previous and current shore study areas. Attribution consists of Study ID, year of study, and summarized sediment descriptions. The polygon extents are not guaranteed to be exact and may contain estimate boundaries delineated based on visual interpretation of drawings and descriptions found in study documents. The dataset will be updated on a regular basis to reflect new and previous study areas.
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>
Esri ArcPro
The most current version of this dataset can be downloaded via the Marine Minerals Information System (MMIS) viewer at https://mmis.boem.gov.
NASA/GCMD Location Keywords
2021-01-26T00:00:00
GULF OF MEXICO
ATLANTIC OCEAN
GLOBAL OCEAN
NORTH ATLANTIC OCEAN
SEA FLOOR
Outer Continental Shelf
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
dataset
6B23C31C-FCA6-49BD-B737-BF21BED4CF8B
20241001
Oceanographer
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
703-787-1747
http://www.boem.gov/Marine-Minerals-Program
HyperText Protocol
web browser
BOEM MMIS website
http://www.boem.gov/Marine-Minerals-Program
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
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
Multiple investigators and projects
document
publication date
2002-01-01T00:00:00
2024-10-01T00:00:00
The spatial and tabular data presented in this dataset were 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 spatial extents of each study area along the U.S. shoreline were either retrieved directly from BOEM in the form of ESRI's ArcGIS shapefiles or the polygons were manually heads-up digitized in ArcMap by referencing written descriptions and figures from the report. A beach study area layer was made for each study and loaded into a project-specific geodatabase in its native projection. Next, a master layer was created in the MMIS geodatabase data model to house all beach study area polygons in a single feature class (reprojected into the NAD83 geodetic reference system). Attributes added to the feature class include the year the report was published and summary values for grain size, Munsell color, and percent sand. This data is summarized for the entire study, regardless of how many sub-locations a study might have, UNLESS the study reported the values specifically for each sub-area. Next, the disparate beach study area feature classes and their attribute data were loaded into the MMIS Beach Study Areas feature class. For increased accessibility, each study area polygon was linked to the corresponding PDF report document(s). For specific process information regarding acquisition, please reference the individual report documents.
2024-10-01T00:00:00
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.
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
Absolute external positional accuracy: closeness of reported coordinate values to values accepted as or being true
https://geoseas.geoplatform.gov/hosting/rest/services/MMP
ArcGIS 10.8.1
Enterprise Geodatabase Feature Class
EPSG
6.18.3(9.3.1.2)
2026-01-01T00:00:00
ShoreStudyAreas
Extent on the shore of a BOEM funded study, environmental assessment, or other similar report
BOEM
Feature Class
174
SHAPE.STArea()
Area of feature in internal units squared
Esri
Area of feature in internal units squared
SHAPE.STArea()
Double
0
0
0
ShoreStudyArea
Shore Study Area
String
250
0
0
Shore Study Area
BOEM
Shore Study Area
SHAPE
Feature geometry
Esri
Feature geometry
SHAPE
Geometry
8
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
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
OBJECTID
Internal feature number
Esri
Internal feature number
OBJECTID
OID
4
10
0
Shore_GlobalLinkID
Global Link ID
GUID
38
0
0
Global Link ID
BOEM
Unique ID
Year
Year of sample collection
BOEM
Year of sample collection
Year
SmallInteger
2
5
0
SHAPE.STLength()
Length of feature in internal units
Esri
Length of feature in internal units
SHAPE.STLength()
Double
0
0
0
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
Shore Study Areas polygons delineate locations where environmental studies have taken place along the U.S. coastline to determine (1) the extent of shoreline erosion, (2) baseline documentation of shore sediment character, and (3) if the site could benefit from shoreline stabilization and beach nourishment in order to reduce coastal storm flooding and erosion, and provide recreational and environmental habitat benefits. Data and conclusions from such studies are heavily relied upon by the Marine Minerals Program within the Bureau of Ocean Energy Management (BOEM) when making decisions for how to best manage non-energy mineral resources (primarily sand and gravel) on the Outer Continental Shelf (OCS). Strong decision making by BOEM ensures that the removal and re-deposition of any mineral resource 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. Shore study area polygons were either provided along with the report in spatial format, such as an ArcGIS shapefile, or were manually digitized by referencing written descriptions and figures from the report.
BOEM
174
True
Feature Catalogue for MMIS.SDE.ShoreStudyAreas
2024-10-01T00:00:00
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
https://mmis.boem.gov
HyperText Protocol
web browser
Content Information for the Resource
Link to access information about the data content.
True
Simple
FALSE
174
TRUE
FALSE