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Comprehensive inventory of seafloor mapping, ground-truthing, and predictive habitat modeling datasets to support Deepwater Horizon mesophotic and deep benthic community restoration (NCEI Accession 0268765)


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            title:  Comprehensive inventory of seafloor mapping, ground-truthing, and predictive habitat modeling datasets to support Deepwater Horizon mesophotic and deep benthic community restoration (NCEI Accession 0268765)
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                date:  2022-12-05
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        abstract:  This repository is a collection and inventory of existing seafloor mapping, ground-truthing, and predictive habitat modeling data within the Gulf of Mexico. The inventory was compiled by the Mesophotic and Deep Benthic Communities (MDBC): Mapping Ground-truthing, and Predictive Habitat Modeling Project. This project is one of many selected by the Open Ocean Trustee Implementation Group to restore natural resources injured by the 2010 Deepwater Horizon oil spill in the Gulf of Mexico. Data collected from 1980 to 2021 were sourced from federal and state agencies, as well as from academia and industry. Each dataset is represented in the inventory as a spatial footprint with corresponding quantitative and qualitative attributes. The seafloor mapping data are primarily remote sensing observations used to survey and derive depth, shape, and texture of the seafloor and characterize the geomorphological forms, substrates, and biota used to define MDBC habitats. Ground-truthing data are in-situ observations that provide visual and analytical characterization of information documenting the abundance and distribution of MDBC, substrate, and geomorphology. Predictive habitat models analyze habitat-environment or species-environment relationships from seafloor mapping data, in situ observations, and environmental data to predict MDBC habitat. The spatial extent of the dataset is as follows, except for predictive habitat models which have a more global extent.
        purpose:  Project Purpose: The 2010 Deepwater Horizon (DWH) oil spill released approximately 3.2 million barrels of oil into the Gulf of Mexico (GOM), resulting in quantified injury to an area of over 2,000 km2 (770 mi2) of deep-sea benthic habitats surrounding the wellhead. The damage assessment also documented hydrocarbon exposure to an additional area of over 12,000 km2 extending up the continental slope and onto the continental shelf, as well as substantial losses to corals, other benthic invertebrates, and the associated fish and water column community in an approximately 10 km2 area of mesophotic reef habitats of the Pinnacles Trend off the coast of Mississippi and Alabama. The full extent of damage to mesophotic and deep benthic communities (MDBC) from the DWH oil spill remains unknown, and knowledge gaps regarding MDBC distribution create significant challenges for restoring MDBC communities and achieving restoration goals prescribed by the Final DWH Programmatic Damage Assessment and Restoration Plan / Programmatic Environmental Impact Statement (DWH PDARP / PEIS). Successful restoration of MDBC impacted by the DWH oil spill requires knowledge of the distribution, abundance, and status of these communities and associated habitats. Accurate high-resolution seafloor maps and data on abundance and distribution of MDBC represent key requirements for restoration efforts. Partial information about MDBC can be gleaned from existing datasets. As such, the MDBC Mapping, Ground-truthing, and Predictive Habitat Modeling Project conducted an inventory of existing seafloor mapping and ground-truthing data and of existing predictive habitat models. A comprehensive inventory of seafloor mapping, ground-truthing, and predictive habitat modeling data was compiled for a large part of the northern GOM from 1980 through 2021 to meet project objectives and support restoration activities. This archival data package includes spatial footprints of seafloor mapping, ground-truthing, and predictive habitat modeling datasets that were included in the inventory. Data Purpose: The broad goal of the inventory was to help determine the extent of MDBC communities and support restoration activities. More specifically, the resulting inventory will be used to 1) prioritize locations and key information requirements for habitat maps needed for planning, restoration activities, or conservation management actions; 2) conduct a gap analysis to define focal regions to conduct new seafloor mapping and ground-truthing surveys or predictive modeling; 3) inform participatory workshops with subject matter experts to define best practices for habitat mapping, ground-truthing, and modeling; and 4) inform operations to newly document the extent of MDBC.
        credit:  Related Funding Agency: Deepwater Horizon Natural Resource Damage Assessment, MDBC Mapping, Ground-truthing, and Predictive Habitat Modeling Project
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                      Anchor:  https://www.gulfspillrestoration.noaa.gov/restoration-areas/open-ocean Open Ocean Trustee Implementation Group
                    contactInfo:  (CI_Contact)
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                            linkage: https://www.gulfspillrestoration.noaa.gov/restoration-areas/open-ocean
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                            name:  website
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                      Anchor:  https://www.gulfspillrestoration.noaa.gov/restoration-areas/open-ocean Open Ocean Trustee Implementation Group
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://www.gulfspillrestoration.noaa.gov/restoration-areas/open-ocean
                            protocol:  HTTPS
                            name:  website
                            description:  Institution web page
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            aggregateDataSetName:  (CI_Citation)
                title:  NOAA Gulf Spill Restoration
                date:  (CI_Date)
                    date:  2022
                    dateType:  (CI_DateTypeCode) publication
                citedResponsibleParty:  (CI_ResponsibleParty)
                    positionName: (unknown)
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://www.gulfspillrestoration.noaa.gov/
                            protocol:  HTTPS
                            name:  NOAA Gulf Spill Restoration
                            description:  Oil Spill Restoration Webpage
                            function:  (CI_OnLineFunctionCode) information
                    role: (unknown)
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                      Anchor:  https://www.gulfspillrestoration.noaa.gov/ Deepwater Horizon NRDA"
                    contactInfo:  (CI_Contact)
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                            linkage: https://www.gulfspillrestoration.noaa.gov/
                            protocol:  HTTPS
                            name:  website
                            description:  Institution web page
                            function:  (CI_OnLineFunctionCode) information
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                      Anchor:  https://www.gulfspillrestoration.noaa.gov/ Deepwater Horizon NRDA
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://www.gulfspillrestoration.noaa.gov/
                            protocol:  HTTPS
                            name:  website
                            description:  Institution web page
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                presentationForm:  (CI_PresentationFormCode) documentDigital
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        aggregationInfo:  (MD_AggregateInformation)
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                title:  Scientific Support for Mesophotic and Deep Benthic Community Restoration in the Gulf of Mexico
                date:  (CI_Date)
                    date:  2020
                    dateType:  (CI_DateTypeCode) publication
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                    positionName: (unknown)
                    contactInfo:  (CI_Contact)
                        onlineResource:  (CI_OnlineResource)
                            linkage: https://coastalscience.noaa.gov/project/scientific-support-for-mesophotic-and-deep-benthic-community-restoration-in-the-gulf-of-mexico/
                            protocol:  HTTPS
                            name: https://coastalscience.noaa.gov/project/scientific-support-for-mesophotic-and-deep-benthic-community-restoration-in-the-gulf-of-mexico/
                            description:  National Centers for Coastal Ocean Science (NCCOS) project page
                            function:  (CI_OnLineFunctionCode) information
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                      Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1466 US DOC; NOAA; NOS; National Centers for Coastal Ocean Science (NCCOS)
                    contactInfo:  (CI_Contact)
                        address:  (CI_Address)
                            electronicMailAddress:  NCCOS.data@noaa.gov
                        onlineResource:  (CI_OnlineResource)
                            linkage: http://coastalscience.noaa.gov/
                            protocol:  HTTP
                            name:  US DOC; NOAA; NOS; National Centers for Coastal Ocean Science website
                            description:  Institution web page
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        language:
          LanguageCode:  eng; USA
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        topicCategory:  (MD_TopicCategoryCode) environment
        topicCategory:  (MD_TopicCategoryCode) oceans
        topicCategory:  (MD_TopicCategoryCode) geoscientificInformation
        topicCategory:  (MD_TopicCategoryCode) biota
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                    beginPosition:  1980-01-01
                    endPosition:  2021-04-30
        supplementalInformation:  Submission Package ID: E1H7J8 Methods: Thorough and reproducible data discovery protocols were applied to search a range of data sources including project partners, external contacts, scientific literature, and online data portals. Reproducible protocols were also applied to screen, acquire, standardize, store, and document inventoried datasets. Summary products, such as the spatial footprints included in this archival data package, were derived from the original datasets to provide simplified, standardized views of the inventoried data across datasets and data types. Details on data discovery, data tracking, data screening and acquisition, data processing, and data product generation are available in Paxton et al. (2022). File Information: Total File Size: 13.8 GB total, 1,561 files in 20 folders (unzipped), 2.79 GB (zipped) Data File Format(s): Shapefile (and ancillary files .CPG, .DBF, .PRJ, .SBN, .SBX, .SHX) Geodatabase (.gdb) Comma-separated value (.CSV) Data File Compression: N/A Data File Resolution: N/A GIS Projection: NAD 1983 (2011 version)
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                  Anchor:  https://www.ncei.noaa.gov/archive/archive-management-system/OAS/bin/prd/jquery/institution/details/1730 NOAA National Centers for Environmental Information
                contactInfo:  (CI_Contact)
                    phone:  (CI_Telephone)
                        voice:  +1-301-713-3277
                    address:  (CI_Address)
                        electronicMailAddress:  NCEI.Info@noaa.gov
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                fees:  In most cases, electronic downloads of the data are free. However, fees may apply for custom orders, data certifications, copies of analog materials, and data distribution on physical media.
                orderingInstructions:  Contact NCEI for other distribution options and instructions.
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                  Real:  2692.672
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                    linkage: https://www.ncei.noaa.gov/archive/accession/0268765
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                    name:  NCEI Dataset Landing Page
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                    description:  These data are available through the File Transfer Protocol (FTP). FTP is no longer supported by most internet browsers. You may copy and paste the FTP link to the data into an FTP client (e.g., FileZilla or WinSCP).
                    function:  (CI_OnLineFunctionCode) download
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                description:  NCEI Accession 0268765 v1.1 was published.
                dateTime:
                  DateTime:  2022-12-05T17:39:50Z
                output:  (LE_Source)
                    sourceCitation:  (CI_Citation)
                        title:  NCEI Accession 0268765 v1.1
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                            individualName: (inapplicable)
                            contactInfo:  (CI_Contact)
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                                    linkage: https://www.ncei.noaa.gov/archive/accession/0268765/1.1
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                                    name:  NCEI Accession 0268765 v1.1
                                    description:  published 2022-12-05T17:39:50Z
                                    function:  (CI_OnLineFunctionCode) download
                            role: (inapplicable)
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    dataQualityInfo:  (DQ_DataQuality)
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            level:  (MD_ScopeCode) dataset
        lineage:  (LI_Lineage)
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                description:  Parameter or Variable: Seafloor Bathymetry (calculated); Units: meters; Observation Category: in situ; Sampling Instrument: Multibeam Sonar, Side-scan Sonar, Seismic profiler, Sub-bottom Profiler, Phase Differential Bathymetric Sonar, Laser-line Scanne; Sampling and Analyzing Method: The dataset contains a collection of footprints derived from a variety of seafloor bathymetric imagery produced by federal, state, academic, and private institutions. The imagery screening criterion for the purpose of this project can be found in Paxton et al. (2022; DOI: XXXX).; Data Quality Method: N/A.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Acoustic Backscatter (calculated); Units: N/A; Observation Category: in situ; Sampling Instrument: Multibeam Sonar, Side-scan Sonar, Seismic profiler, Sub-bottom Profiler, Phase Differential Bathymetric Sonar, Laser-line Scanne; Sampling and Analyzing Method: The dataset contains a collection of footprints derived from a variety of acoustic backscatter imagery produced by federal, state, academic, and private institutions. The imagery screening criterion for the purpose of this project can be found in Paxton et al. (2022; DOI: XXXX).; Data Quality Method: N/A.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Observations/Annotations (measured); Units: N/A; Observation Category: other; Sampling Instrument: Multimedia devices; Sampling and Analyzing Method: The dataset contains a collection of footprints (sampling locations, dive tracks, etc.) which have associated relevant observations/annotations derived from multimedia data (images and videos), and geological and biological samples. The data screening criterion for the purpose of this project can be found in Paxton et al. (2022; DOI: XXXX).; Data Quality Method: N/A.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Observations/Annotations (measured); Units: N/A; Observation Category: in situ; Sampling Instrument: Geological/Sediment/Biological Samplers; Sampling and Analyzing Method: The dataset contains a collection of footprints (sampling locations) which have associated relevant observations/annotations derived from geological/sediment/biological samples. The data screening criterion for the purpose of this project can be found in Paxton et al. (2022; DOI: XXXX).; Data Quality Method: N/A.
            processStep:  (LE_ProcessStep)
                description:  Parameter or Variable: Predictive Habitat Model Predictions (calculated); Units: N/A; Observation Category: model output; Sampling Instrument: N/A; Sampling and Analyzing Method: The dataset contains a collection of footprints representing the spatial extent of the areas where predictions have been made by a variety of habitat models. The model screening criterion for the purpose of this project can be found in Paxton et al. (2022; DOI: XXXX).; Data Quality Method: N/A.
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        maintenanceAndUpdateFrequency:  (MD_MaintenanceFrequencyCode) asNeeded
        maintenanceNote:  Metadata are developed, maintained and distributed by NCEI. Updates are performed as needed to maintain currentness.
        contact:  (CI_ResponsibleParty)
            organisationName:  NOAA National Centers for Environmental Information
            role:  (CI_RoleCode) custodian
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    acquisitionInformation:  (MI_AcquisitionInformation)
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  multibeam sonar
            type:  multibeam sonar
            description:  generic instrument to measure seafloor topography Active sensors that utilize acoustic energy to collect measurements of seafloor depth and character (from http://www.csc.noaa.gov/crs/rs_apps/sensors/multi_beam.htm (last accessed 2008-12-09). Seafloor topography, bathymetry and other related geophysical data are usually managed and archived at the NOAA National Geophysical Data Center (www.ngdc.noaa.gov/mgg/).
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  sediment sampler - corer
            type:  sediment sampler - corer
            description:  sediment coring device gravity or other coring device used to collect surfacial and near-surficial sediment samples
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  sediment sampler - grab
            type:  sediment sampler - grab
            description:  grab sampler is used to take a sample of surficial seafloor sediments
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  seismic reflection profiler
            type:  seismic reflection profiler
            description:  generic instrument designation for instruments used to map or quantify subsurface sea floor stratigraphy
        instrument:  (MI_Instrument)
            identifier:  (MD_Identifier)
                code:  sonar
            type:  sonar
            description:  sound/sonic navigation and ranging Sonar (sound navigation and ranging or sonic navigation and ranging) is a technique that uses sound propagation (usually underwater, as in submarine navigation) to navigate, measure distances (ranging), communicate with or detect objects on or under the surface of the water, such as other vessels. Side-scan sonar (also sometimes called side scan sonar, sidescan sonar, side imaging sonar, side-imaging sonar and bottom classification sonar) is a category of sonar system that is used to efficiently create an image of large areas of the sea floor. [wikipedia] Bio-acoustic Sonar measures acoustic signals of plankton and zooplankton. [OOI]