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Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program tabular digital data The Infaunal Analysis table is a collection of datasets summarizing the occurrence of benthic infauna found in marine sediment samples or seen in sediment profile images gathered during various studies. The term infauna refers to aquatic organisms that live within the seafloor sediment. The infaunal data gathered into this MMIS table were acquired from multiple investigators and projects, whose research on or around the Outer Continental Shelf (OCS) was funded fully or partially by the Bureau of Ocean Energy Management (BOEM). Attribution consists of number of taxa, number of individuals, density, diversity, evenness, and richness. The Infaunal Analysis table is linked to the Samples table, which is subsequently linked to both the Grab Samples feature class and the Core Samples feature class. This dataset will be updated regular as new and existing data are incorporated into the MMIS geodatabase. The Infaunal Analysis table is a collection of datasets summarizing the occurrence of benthic infauna found in marine sediment samples or seen in sediment profile images gathered during various studies. The term infauna refers to aquatic organisms that live within the seafloor sediment. The infaunal data gathered into this MMIS table were acquired from multiple investigators and projects, whose research on or around the Outer Continental Shelf (OCS) was funded fully or partially by the Bureau of Ocean Energy Management (BOEM). Attribution consists of number of taxa, number of individuals, density, diversity, evenness, and richness. The Infaunal Analysis table is linked to the Samples table, which is subsequently linked to both the Grab Samples feature class and the Core Samples feature class. This dataset will be updated regular as new and existing data are incorporated into the MMIS geodatabase. US 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. Outer Continental Shelf ATLANTIC OCEAN GULF OF MEXICO SEA FLOOR GLOBAL OCEAN NORTH ATLANTIC OCEAN NASA/GCMD Location Keywords Study Offshore OCS Benthic Richness Infaunal Species Density Biological Research Individuals Evenness Sediment Sample Taxa Biodiversity Habitat Assessment Sediment Profile Image ATLANTIC OCEAN Study Offshore OCS Benthic Richness GULF OF MEXICO Infaunal Species Density SEA FLOOR Biological Research GLOBAL OCEAN Individuals Evenness Outer Continental Shelf NORTH ATLANTIC OCEAN Sediment Sample Taxa Biodiversity US Habitat Assessment Sediment Profile Image 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 publication date 2021-02-10 None 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 Multiple investigators and projects U.S. Department of Interior, Bureau of Ocean Energy Management, Marine Minerals Program document publication date 2021-02-10 InfaunalAnalysis Contains information regarding infaunal diversity of a sample within a core or grab sample BOEM Table 518 H_Diveristy H_Diveristy BOEM H_Diveristy H' Diveristy Double 8 38 8 GlobalID Globally Unique Identifier Esri Globally Unique Identifier GlobalID GlobalID 38 0 0 NumTaxa Number of different taxa identified in a sample BOEM Number of different taxa identified in a sample Number of Taxa Integer 4 10 0 NumIndividuals Number of Individuals in sample BOEM Number of Individuals in sample Number of Individuals Integer 4 10 0 Density Mean density of individuals/m2 BOEM Mean density of individuals/m2 Mean Density Double 8 38 8 TaxaReported Taxa reported? Values "Y","N" or null BOEM Y Yes BOEM N No BOEM Taxa Reported String 1 0 0 D_Richness D Richness BOEM D Richness D Richness 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 J_Evenness J_Evenness BOEM J_Evenness J' Evenness Double 8 38 8 InfaunalID Sample ID as indicated by the study BOEM Sample ID as indicated by the study Infaunal ID String 20 0 0 OBJECTID Internal feature number Esri Internal feature number OBJECTID OID 4 10 0 Inf_GlobalTableID Uniquely identifies an Infaunal Analysis record to a sample BOEM Uniquely identifies an Infaunal Analysis record to a sample Inf_GlobalTableID GUID 38 0 0 Infaunal species are responsible for significant interactions within the benthic environment, which, in turn, impact the biodiversity and functional processes within the entire ecosystem. Collecting data on these species provides 1) information on the species composition and fluctuating abundance of organisms over time and in differing habitats, and 2) a better understanding of the processes that regulate community and population dynamics. Such dynamics include trophic levels, predator-prey interactions, recruitment, habitat use, as well as effects of salinity, turbidity, temperature and dissolved oxygen on populations. The data derived from the Infaunal Analysis table will provide a synthesis of the Outer Continental Shelf (OCS) benthic habitat to support a wide variety of planning and management decisions and to provide a basis for further process-oriented investigations. BOEM Table dataset