IsopachArc
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3035736.911400
5022109.344900
1
-
IsoArcHasLinks
Relationship
-
IsoArcHaveLinkDocs
Relationship
002
Projected
GCS_WGS_1984
Linear Unit: Meter (1.000000)
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WGS_1984_Web_Mercator_Auxiliary_Sphere
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9C3576B8-843D-4572-80C6-330C05F3FEFD
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 Feature Class
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
vector digital data
IsopachArc
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The Isopach Arc layer contains contour lines, or isopachs, that represent positions of equal formation thickness of a sand body, or other geologic unit, with the thickness being measured vertically with respect to the seafloor. The investigations from which these geospatial data were derived were fully or partially funded by the Bureau of Ocean Energy Management (BOEM) or partner agencies. Attribution consists of location, feature ID and description, study date, contour value (thickness), and study ID. The associated study report(s) are linked 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 the thickness and lateral extent of discrete bodies of sediment with similar characteristics provides crucial information for a number of coastal and marine spatial planning applications that 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. 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.
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
SeaDataNet Common Vocabularies
2019-03-01T00:00:00
Marine Geology
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>
-91.167552
-73.854848
26.968058
40.324469
publication date
2021-07-23T00:00:00
2024-10-01T00:00:00
None
Esri ArcPro
US
Outer Continental Shelf
ATLANTIC OCEAN
GULF OF MEXICO
SEA FLOOR
GLOBAL OCEAN
NORTH ATLANTIC OCEAN
isopach
seismic
geophysics
geologic
stratigraphy
sand
Offshore
Sand Thickness
Seismic Reflection
Ocean
Sand
Survey
Subsurface
1
-97.188148
-71.804921
41.066188
26.295587
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
U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program
Multiple investigators and projects
document
publication date
2000-01-01T00:00:00
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
7609
EPSG
6.18.3(9.3.1.2)
True
True
Feature Catalogue for MMIS.SDE.IsopachArc
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.
IsopachArc
Contour representation of sediment thickness
BOEM
Feature Class
7609
RuleID
Assigns Cartographic Representation
Esri
Assigns Cartographic Representation
RuleID
Integer
4
10
0
Override_2
Overrides Cartographic Representation
Esri
Overrides Cartographic Representation
Override_2
Blob
0
0
0
Location
Feature ID
BOEM
Feature ID
Feature ID
String
50
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
SHAPE.STLength()
Length of feature in internal units
Esri
Length of feature in internal units
SHAPE.STLength()
Double
0
0
0
OBJECTID
Internal feature number
Esri
Internal feature number
OBJECTID
OID
4
10
0
IsoArc_GlobalLinkID
Unique identifier that links the feature to the study report
BOEM
Unique identifier that links the feature to the study report
Global Link ID
GUID
38
0
0
Override_1
Overrides Cartographic Representation
Esri
Overrides Cartographic Representation
Override_1
Blob
0
0
0
Thickness_m
Sand thickness in meters
BOEM
Sand thickness in meters
Thickness (Meters)
Double
8
38
8
Thickness_ft
Sand thickness in feet
BOEM
Sand thickness in feet
Thickness (Feet)
Double
8
38
8
Override
Overrides Cartographic Representation
Esri
Overrides Cartographic Representation
Override
Blob
0
0
0
SHAPE
Feature geometry
Esri
Feature geometry
SHAPE
Geometry
8
0
0
RuleID_2
Assigns Cartographic Representation
BOEM
11
60 - 70
BOEM
10
50 - 60
BOEM
2
2.0 - 4.0
BOEM
3
4.0 - 8.0
BOEM
1
0 - 2.0
BOEM
8
30 - 40
BOEM
-1
Free Representation
BOEM
6
16 - 20
BOEM
12
70 - 80
BOEM
5
12 - 16
BOEM
7
20 - 30
BOEM
9
40 - 50
BOEM
4
8.0 - 12
BOEM
RuleID_2
Integer
4
10
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
Description
Description
BOEM
Description
Description
String
1000
0
0
Date
Study Date
BOEM
Study Date
Study Date
Date
8
0
0
RuleID_1
Assigns Cartographic Representation
Esri
Assigns Cartographic Representation
RuleID_1
Integer
4
10
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
Isopach maps are used to identify variations and trends in the thickness and lateral extent of discrete bodies of sediment. The Bureau of Ocean Energy Management (BOEM) relies heavily on isopach maps in order to identify sand resource areas in the Federal Outer Continental Shelf (OCS) and to estimate the volume and extent of sand reservoirs. Having centralized access to these layers facilitates decision making and administrative planning within BOEM and the U.S. Army Corps of Engineers (USACE).
BOEM
Simple
FALSE
7609
TRUE
FALSE