4 Bathymetry data
4.1 Bathymetric Contours
4.1.1 Project information
Lead entity: NOAA
Partner entities: NA
PI name: Unknown
PI contact information: Unknown
Data start year: Unknown
Data end year: Unknown
Spatial scale: USA
4.1.2 Data information
Project link: https://coast.noaa.gov/arcgis/rest/services/OceanReports/BathymetricContours/MapServer
Data link: https://coast.noaa.gov/arcgis/rest/services/OceanReports/BathymetricContours/MapServer/0
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.2 CoastalBarrierResourceAreas
4.2.1 Project information
Lead entity: NOAA
Partner entities: NA
PI name: Richard Easterbrook (USFWS)
PI contact information: richard_easterbrook@fws.gov
Data start year: 2016
Data end year: 2024
Spatial scale: USA
4.2.2 Data information
Project link: https://coast.noaa.gov/arcgis/rest/services/OceanReports/CoastalBarrierResourceAreas/MapServer
Data link: https://coast.noaa.gov/arcgis/rest/services/OceanReports/CoastalBarrierResourceAreas/MapServer/0
Metadata link: https://hub.marinecadastre.gov/maps/fws::fws-hq-es-coastal-barrier-resources-system/about
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.2.3 Project description
This data set was created to provide local users with a general depiction of the aerial extent of the boundaries of the John H. Chafee Coastal Barrier Resources System. This Coastal Barrier Resources System (CBRS) data set, produced by the U.S. Fish and Wildlife Service (Service), contains areas designated as undeveloped coastal barriers in accordance with the Coastal Barrier Resources Act (CBRA), 16 U.S.C. 3501 et seq., as amended. The boundaries used to create the polygons herein were compiled from the official John H. Chafee Coastal Barrier Resources System CBRS maps, which are accessible at the Service’s Headquarters office or https://www.fws.gov/program/coastal-barrier-resources-act/maps-and-data. These digital polygons are only representations of the CBRS boundaries shown on the official CBRS maps and are not to be considered authoritative. The Service is not responsible for any misuse or misinterpretation of this digital data set, including use of the data to determine eligibility for federal financial assistance such as federal flood insurance. As maps are revised, this data set will be updated with the new boundaries. CBRS boundaries viewed using the CBRS Mapper or the shapefile are subject to misrepresentations beyond the Service’s control, including misalignments of the boundaries with third party base layers and mis-projections of spatial data. The official CBRS map is the controlling document and should be consulted for all official determinations. Official determinations are recommended for all properties that are in close proximity (within 20 feet) of a CBRS boundary. For an official determination of whether or not an area or specific property is located within the CBRS, please follow the procedures found at https://www.fws.gov/service/coastal-barrier-resources-system-property-documentation. For any questions regarding the CBRS, please contact your local Service field office or email CBRA@fws.gov. Contact information for Service field offices can be found at https://www.fws.gov/our-facilities.
4.3 Dual DriX
4.3.1 Project information
Lead entity: Ocean Exploration Cooperative Institute (OECI) and UNH
Partner entities: BOEM, OMAO, OER, DSCRTP
PI name: Larry Mayer, Val Schmidt
PI contact information: larry@ccom.unh.edu, vschmidt@ccom.unh.edu
Data start year: 2024
Data end year: 2024
Spatial scale: Gulf of Maine
4.3.2 Data information
Project link: https://oceanexplorer.noaa.gov/explorations/24drix/welcome.html
Data link: Upload to NCEI pending
Metadata link: NA
Data availability: No
Data categories: Bathymetry
Data type: spatial
4.4 Environmental Core Samples
4.4.1 Project information
Lead entity: BOEM
Partner entities: NA
PI name: Unknown
PI contact information: Unknown
Data start year: 1948
Data end year: Present
Spatial scale: USA
4.4.2 Data information
Project link: https://mmis.boem.gov/
Data link: https://geoseas.geoplatform.gov/hosting/rest/services/MMP/EnvironmentalSamples/MapServer/0
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.4.3 Project description
The Core Samples feature class is a collection of sediment core and borehole locations and their respective summary attributes. These data were compiled from multiple agencies conducting investigations and studies relevant to outer continental shelf (OCS) non-energy mineral resource (e.g. sand, gravel, shell) management. Many of these efforts were funded at least partially by the Bureau of Ocean Energy Management (BOEM) (formerly known as the Minerals Management Service). The summary information for each core and boring location includes (but is not limited to) core/borehole ID, state, date/time, x/y coordinates (and horizontal datum), method of sampling, sampling device, elevation (and vertical datum), penetration depth, percent recovery, study name, and source agency contact information. Digitized core/borelogs and sediment sample data (if available; e.g. layer descriptions, grain-size analyses, Munsell color, etc.) are contained in the related Core Layers and Samples tables, respectively. The associated study report(s) are linked via the Link Documents table. This feature class will be updated as new data are received.
4.5 Environmental Grab Samples
4.5.1 Project information
Lead entity: BOEM
Partner entities: NA
PI name: Unknown
PI contact information: Unknown
Data start year: 1950
Data end year: Present
Spatial scale: USA
4.5.2 Data information
Project link: https://mmis.boem.gov/
Data link: https://geoseas.geoplatform.gov/hosting/rest/services/MMP/EnvironmentalSamples/MapServer/1
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.5.3 Project description
The Grab Samples feature class is a collection of sediment grab locations and their respective summary attributes. These data were compiled from multiple agencies conducting investigations and studies relevant to outer continental shelf (OCS) non-energy mineral resource (e.g. sand, gravel, shell) management. Many of these efforts were funded at least partially by the Bureau of Ocean Energy Management (BOEM) (formerly known as the Minerals Management Service). The summary information for each grab location includes (but is not limited to) grab ID, state, date/time, x/y coordinates (and horizontal datum), sampling device, elevation (and vertical datum), penetration depth, study ID, and source agency contact information. Laboratory analyses of sediment sample data (if available; e.g. textural classification, grain-size analyses, Munsell color, etc.) are contained in the related Samples table. The associated study report(s) are linked via the Link Documents table. This feature class will be updated as new data are received.
4.6 Surficial Sediment Footprints
4.6.1 Project information
Lead entity: BOEM
Partner entities: NA
PI name: Unknown
PI contact information: Unknown
Data start year: 1960
Data end year: 2019
Spatial scale: USA
4.6.2 Data information
Project link: https://mmis.boem.gov/
Data link: https://geoseas.geoplatform.gov/hosting/rest/services/MMP/SeabedFeatures/MapServer/0
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.6.3 Project description
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.
4.7 Modeled Shoals
4.7.1 Project information
Lead entity: BOEM
Partner entities: NA
PI name: Unknown
PI contact information: Unknown
Data start year: 2023
Data end year: Unknown
Spatial scale: USA
4.7.2 Data information
Project link: https://mmis.boem.gov/
Data link: https://geoseas.geoplatform.gov/hosting/rest/services/MMP/Modeled_Shoals/FeatureServer/0
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.7.3 Project description
The MMIS ModeledShoals feature class is a static copy (exported summer 2023) of the dataset titled “NCCOS Assessment: Modeled Distribution of sand shoals of the Gulf of Mexico and US Atlantic Coast (NCEI Accession 0221906)”, which is accessible at this web address: https://www.ncei.noaa.gov/access/metadata/landing-page/bin/iso?id=gov.noaa.nodc:0221906. In the metadata for that dataset, the Description/Abstract reads “The sand shoals (modeled) polygons represent the hypothesized distribution of sand shoals of the Gulf of Mexico and US Atlantic Coast based on seafloor characteristics and distance to shoreline variables. Defined by Rutecki et al. (2014), a sand shoal is”a natural, underwater ridge, bank, or bar consisting of, or covered by, sand or other unconsolidated material, resulting in shallower water depths than surrounding areas.” In the dataset, attributes characterize shoals with a classification scheme developed with a basis in the Coastal and Marine Ecological Classification Standard (CMECS).”
4.8 MMIS Study Area Survey Measurements
4.8.1 Project information
Lead entity: BOEM
Partner entities: NA
PI name: Unknown
PI contact information: Unknown
Data start year: 1963
Data end year: Present
Spatial scale: USA
4.8.2 Data information
Project link: https://mmis.boem.gov/
Data link: https://www.arcgis.com/home/item.html?id=a46fc1be2f16422a8fdaaed947b1a520
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.8.3 Project description
The Study Area Survey Measurements feature dataset is a collection of geophysical survey tracklines and data products (e.g. bathymetry contours and rasters) that were compiled from numerous site-specific, field-oriented studies spanning multiple decades on the Outer Continental Shelf (OCS). The studies were fully or partially funded by the Bureau of Ocean Energy Management (BOEM), an agency within the U.S. Department of the Interior. The studies largely consist of sand resource reconnaissance surveys, sand placement surveys, research on baseline benthic ecological conditions, and environmental impact investigations pertaining to the potential effects of dredging operations on the physical, chemical, and biological environment. The associated study report(s) are linked to features in each layer (feature class) via the related Link Documents table within the Marine Minerals Information System (MMIS) geodatabase. The features in this dataset will be updated as new and existing data are received and incorporated in to the Marine Minerals Information System (MMIS) geodatabase. Area covered: U.S. OCS (primarily 3nm to 12nm offshore).
4.9 StudyAreaRasters_BackscatterSSS_Footprint
4.9.1 Project information
Lead entity: BOEM
Partner entities: NA
PI name: Unknown
PI contact information: Unknown
Data start year: 1995
Data end year: Present
Spatial scale: USA
4.9.2 Data information
Project link: https://mmis.boem.gov/
Data link: https://www.arcgis.com/home/item.html?id=d5463d59b0144fc789cdd1c3e48fb0a3
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.9.3 Project description
The Study Area Survey Measurements Mosaic Dataset is a collection of bathymetry and backscatter rasters compiled from numerous site-specific, field-oriented studies in the Outer Continental Shelf (OCS). The studies are fully or partially funded by BOEM, an agency within the U.S. Department of the Interior. They consist of sand resource reconnaissance surveys, sand placement surveys, research on baseline benthic ecological conditions, and environmental impact investigations pertaining to the potential effects of dredging operations on the physical, chemical, and biological environment. These data span several decades of published research and were collected and processed using a variety of instruments and software. Please refer to individual raster attributes and the associated study report(s) for details related to data acquisition and processing. This dataset will be updated regularly as new and existing data are incorporated into the Marine Minerals Information System (MMIS) geodatabase. Area covered: U.S. OCS (primarily 3nm to 12nm offshore). Each raster in this mosaic is stored in its native projection. The rasters are projected into NAD83 on the fly by the MMIS WebViewer. Should a user export a raster from the database, or download it through the viewer, the downloaded file will be in the native projection.
4.10 StudyAreaRasters_Bathymetry_Footprint
4.10.1 Project information
Lead entity: BOEM
Partner entities: NA
PI name: Unknown
PI contact information: Unknown
Data start year: 1980
Data end year: Present
Spatial scale: USA
4.10.2 Data information
Project link: https://mmis.boem.gov/
Data link: https://www.arcgis.com/home/item.html?id=7660a6bba41242cc9d09d726542e7b6f
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.10.3 Project description
The Study Area Survey Measurements feature dataset is a collection of footprints indicating presence of geophysical data products (e.g. bathymetry rasters) that were compiled from numerous site-specific, field-oriented studies spanning multiple decades on the Outer Continental Shelf (OCS). The studies were fully or partially funded by the Bureau of Ocean Energy Management (BOEM), an agency within the U.S. Department of the Interior. The studies largely consist of sand resource reconnaissance surveys, sand placement surveys, research on baseline benthic ecological conditions, and environmental impact investigations pertaining to the potential effects of dredging operations on the physical, chemical, and biological environment. The features in this dataset will be updated as new and existing data are received and incorporated in to the Marine Minerals Information System (MMIS) geodatabase. Area covered: U.S. OCS (primarily 3nm to 12nm offshore). The “Study Area Survey Data - Bathymetry” layer contains footprints corresponding to the areas covered by bathymetry rasters housed in the MMIS database. The purpose of this layer is to indicate where raster format bathymetry data are available. These data can be accessed directly in the StudyAreaRasters Image Service: https://geoseas.geoplatform.gov/image/rest/services/MMP/StudyAreaRasters/ImageServer
4.11 Geological and Geotechnical Overview of the Atlantic and Gulf of Mexico Outer Continental Shelf
4.11.1 Project information
Lead entity: FUGRO
Partner entities: BOEM
PI name: James Fisher
PI contact information: j.fisher@fugro.com
Data start year: Unknown
Data end year: 2022
Spatial scale: USA
4.11.2 Data information
Project link: https://www.boem.gov/sites/default/files/documents//BOEM-GG-DTS.pdf
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.12 Gulf of Maine Seafloor Mapping
4.12.1 Project information
Lead entity: NEFSC Habitat Ecology Branch/NCCOS
Partner entities: Deep Sea Coral Research and Technology Program, OECI, OE
PI name: Dave Packer
PI contact information: dave.packer@noaa.gov
Data start year: 2023
Data end year: 2024
Spatial scale: Gulf of Maine
4.13 Intrinsic Seabed Habitat Vulnerability to Fishing - Bottom trawl, median fishing effort
4.13.1 Project information
Lead entity: Habitat Plan Development Team, New England Fishery Management Council
Partner entities: the Fisheries, Aquac Science, and Technology Laboratory at Alaska Pacific University
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 1996
Data end year: 2017
Spatial scale: Northwest Atlantic
4.13.2 Data information
Project link: www.northeastoceandata.org
Data link: https://services.northeastoceandata.org/arcgis1/rest/services/MarineLifeAndHabitat/MapServer/72
Metadata link: https://www.northeastoceandata.org/files/metadata/Themes/Habitat/FishingEffectsIntrinsicSeabedHabitatVulnerabilitymetadata.pdf
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.13.3 Project description
The Intrinsic Seabed Habitat Vulnerability to Fishing layers show the vulnerability of the seabed to each gear type. These datasets constitute a secondary set of outputs from the Northeast Fishing Effects Model (Fishing Effects). The model combines seafloor data (sediment type, energy regime) with parameters related to the interactions between fishing gear and seafloor habitats to generate habitat disturbance estimates in space and time. A higher habitat disturbance percentage suggests that the seafloor in that location is more vulnerable to that fishing gear. Mobile bottom contact gears generate higher benthic habitat disturbance values than fixed bottom contact gears. The intrinsic vulnerability products allow the Council to predict which areas would be vulnerable to impact, even in the absence of existing fishing pressure.
Data inputs include a benthic sediment/energy map (in Data Explorer category Habitat > Physical) and fishing effort as swept area. Energy classification is based on depth or benthic boundary shear stress data. Data inputs and outputs to Fishing Effects are gridded at a 5 km by 5 km resolution. The model outputs extend only to the shelf break/upper continental slope because this is the limit of fishing activity with bottom-tending gears in the northeast region. The intrinsic habitat vulnerability products apply a spatially and temporally constant level of fishing disturbance for six types of bottom-tending fishing gears: trawl, scallop dredge, hydraulic clam dredge, longline, gillnet, and trap, across all grid cells of the model, at each monthly timestep from 1996-2017. The level of fishing disturbance evaluated for these model runs reflects the median swept area ratio over the entire time series and across all grid cells. Swept area ratio is simply the total swept area within each grid, relative to the grid size. For this model, which has a 25 km2 grid resolution, a swept area of 25 km2 would lead to a swept area ratio of 1, and a swept area of 12.5 km2 would lead to a swept area ratio of 0.5, etc. Values used are described in NEFMC (2019) and vary by gear type; the model report also shows results for the 95th percentile of swept area ratio.
The maps in the Portal show the estimated percent seabed habitat disturbance for each of these six gear types by grid cell for the final month of the time series (December 2017), This type of product is of value to managers because fishing effort is influenced by numerous factors which are subject to change, including spatial closures that prohibit certain types of gear in specific locations. Every cell in the domain has a modeled value. Larger percentages indicate that a greater percentage of the seafloor is estimated to be impacted at these median levels of fishing disturbance, while smaller percentages indicate a lower impact. All gear types use the same color scale to allow for comparison among gears. While there are modeled differences below a 3% level, those differences are not thought to be especially meaningful in a management context, and are therefore not shown.
Additional information about the model can be found on the New England Fishery Management Council’s Fishing Effects page.
4.14 Intrinsic Seabed Habitat Vulnerability to Fishing - Gillnet, median fishing effort
4.14.1 Project information
Lead entity: Habitat Plan Development Team, New England Fishery Management Council
Partner entities: the Fisheries, Aquac Science, and Technology Laboratory at Alaska Pacific University
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 1996
Data end year: 2017
Spatial scale: Northwest Atlantic
4.14.2 Data information
Project link: www.northeastoceandata.org
Data link: https://services.northeastoceandata.org/arcgis1/rest/services/MarineLifeAndHabitat/MapServer/75
Metadata link: https://www.northeastoceandata.org/files/metadata/Themes/Habitat/FishingEffectsIntrinsicSeabedHabitatVulnerabilitymetadata.pdf
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.14.3 Project description
The Intrinsic Seabed Habitat Vulnerability to Fishing layers show the vulnerability of the seabed to each gear type. These datasets constitute a secondary set of outputs from the Northeast Fishing Effects Model (Fishing Effects). The model combines seafloor data (sediment type, energy regime) with parameters related to the interactions between fishing gear and seafloor habitats to generate habitat disturbance estimates in space and time. A higher habitat disturbance percentage suggests that the seafloor in that location is more vulnerable to that fishing gear.
4.15 Intrinsic Seabed Habitat Vulnerability to Fishing - Hydraulic Clam dredge, median fishing effort
4.15.1 Project information
Lead entity: Habitat Plan Development Team, New England Fishery Management Council
Partner entities: the Fisheries, Aquac Science, and Technology Laboratory at Alaska Pacific University
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 1996
Data end year: 2017
Spatial scale: Northwest Atlantic
4.15.2 Data information
Project link: www.northeastoceandata.org
Data link: https://services.northeastoceandata.org/arcgis1/rest/services/MarineLifeAndHabitat/MapServer/74
Metadata link: https://www.northeastoceandata.org/files/metadata/Themes/Habitat/FishingEffectsIntrinsicSeabedHabitatVulnerabilitymetadata.pdf
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.15.3 Project description
The Intrinsic Seabed Habitat Vulnerability to Fishing layers show the vulnerability of the seabed to each gear type. These datasets constitute a secondary set of outputs from the Northeast Fishing Effects Model (Fishing Effects). The model combines seafloor data (sediment type, energy regime) with parameters related to the interactions between fishing gear and seafloor habitats to generate habitat disturbance estimates in space and time.
4.16 Intrinsic Seabed Habitat Vulnerability to Fishing - Longline, median fishing effort
4.16.1 Project information
Lead entity: Habitat Plan Development Team, New England Fishery Management Council
Partner entities: the Fisheries, Aquac Science, and Technology Laboratory at Alaska Pacific University
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 1996
Data end year: 2017
Spatial scale: Northwest Atlantic
4.16.2 Data information
Project link: www.northeastoceandata.org
Data link: https://services.northeastoceandata.org/arcgis1/rest/services/MarineLifeAndHabitat/MapServer/76
Metadata link: https://www.northeastoceandata.org/files/metadata/Themes/Habitat/FishingEffectsIntrinsicSeabedHabitatVulnerabilitymetadata.pdf
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.16.3 Project description
The Intrinsic Seabed Habitat Vulnerability to Fishing layers show the vulnerability of the seabed to each gear type. These datasets constitute a secondary set of outputs from the Northeast Fishing Effects Model (Fishing Effects). The model combines seafloor data (sediment type, energy regime) with parameters related to the interactions between fishing gear and seafloor habitats to generate habitat disturbance estimates in space and time. A higher habitat disturbance percentage suggests that the seafloor in that location is more vulnerable to that fishing gear.
4.17 Intrinsic Seabed Habitat Vulnerability to Fishing - Scallop Dredge, median fishing effort
4.17.1 Project information
Lead entity: Habitat Plan Development Team, New England Fishery Management Council
Partner entities: the Fisheries, Aquac Science, and Technology Laboratory at Alaska Pacific University
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 1996
Data end year: 2017
Spatial scale: Northwest Atlantic
4.17.2 Data information
Project link: www.northeastoceandata.org
Data link: https://services.northeastoceandata.org/arcgis1/rest/services/MarineLifeAndHabitat/MapServer/73
Metadata link: https://www.northeastoceandata.org/files/metadata/Themes/Habitat/FishingEffectsIntrinsicSeabedHabitatVulnerabilitymetadata.pdf
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.17.3 Project description
The Intrinsic Seabed Habitat Vulnerability to Fishing layers show the vulnerability of the seabed to each gear type. These datasets constitute a secondary set of outputs from the Northeast Fishing Effects Model (Fishing Effects). The model combines seafloor data (sediment type, energy regime) with parameters related to the interactions between fishing gear and seafloor habitats to generate habitat disturbance estimates in space and time. A higher habitat disturbance percentage suggests that the seafloor in that location is more vulnerable to that fishing gear.
4.18 Intrinsic Seabed Habitat Vulnerability to Fishing - Trap, median fishing effort
4.18.1 Project information
Lead entity: Habitat Plan Development Team, New England Fishery Management Council
Partner entities: the Fisheries, Aquac Science, and Technology Laboratory at Alaska Pacific University
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 1996
Data end year: 2017
Spatial scale: Northwest Atlantic
4.18.2 Data information
Project link: www.northeastoceandata.org
Data link: https://services.northeastoceandata.org/arcgis1/rest/services/MarineLifeAndHabitat/MapServer/77
Metadata link: https://www.northeastoceandata.org/files/metadata/Themes/Habitat/FishingEffectsIntrinsicSeabedHabitatVulnerabilitymetadata.pdf
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.18.3 Project description
The Intrinsic Seabed Habitat Vulnerability to Fishing layers show the vulnerability of the seabed to each gear type. These datasets constitute a secondary set of outputs from the Northeast Fishing Effects Model (Fishing Effects). The model combines seafloor data (sediment type, energy regime) with parameters related to the interactions between fishing gear and seafloor habitats to generate habitat disturbance estimates in space and time. A higher habitat disturbance percentage suggests that the seafloor in that location is more vulnerable to that fishing gear.
4.19 Maine Coastal Seafloor Mapping Initiative (MCMI)
4.19.1 Project information
Lead entity: ME DMR, MCMI
Partner entities: NA
PI name: Minor, Jesse (ME DMR), with Anne Simpson (benthic ecologist; Anne.Simpson@maine.gov) and Peyton Benson (lead hydrographer; Peyton.Benson@maine.gov), MCMI
PI contact information: Jesse.minor@maine.gov;
Data start year: 2023
Data end year: Present
Spatial scale: Gulf of Maine
4.19.2 Data information
Project link: https://www.maine.gov/energy/sites/maine.gov.energy/files/inline-files/MCMI%20Fishermens%20Forum.pdf
Data link: https://dmr-maine.opendata.arcgis.com/datasets/b1598aec254e49219e8b2194674b9a41/explore
Metadata link: https://dmr-maine.opendata.arcgis.com/datasets/maine::mainedmr-maine-coastal-mapping-initiative-bathymetry/about
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.19.3 Project description
The Maine Coastal Mapping Initiative (MCMI) works with our partners to investigate the seafloor to improve maritime navigation and safety, increase public access to detailed seafloor information, and promote informed ocean planning. The Maine Coastal Program’s Mapping Initiative (MCMI) works with our partners to investigate the seafloor to improve maritime navigation and safety, increase public access to detailed seafloor information, and promote informed ocean planning. The information that MCMI collects is used by scientists and managers to research and manage marine ecosystems and increase Maine’s resiliency to environmental changes. Created in 2012, MCMI is acquiring critical data about the seafloor and our oceanic environment, including bathymetry (seafloor depth), sediment information, benthic species and abundance, and water column information. Our data and findings are publicly available. The data collected by MCMI supports numerous uses including marine research, invasive species documentation, geological studies, benthic species range studies, navigation, underwater archaeology, and ocean exploration.
4.20 MaineDMR - Cooperative Bottom Mapping Program Bathymetry
4.20.1 Project information
Lead entity: ME DMR
Partner entities: NA
PI name: DeVoe, William
PI contact information: william.devoe@maine.gov
Data start year: Unknown
Data end year: 2020
Spatial scale: Gulf of Maine
4.20.2 Data information
Project link: https://dmr-maine.opendata.arcgis.com/datasets/7e894114466b4655941ccb113de7fb6e/explore?location=43.934944%2C-68.562401%2C9.29
Data link: https://gis.maine.gov/arcgis/rest/services/dmr/DMR_OLEX_Bathymetry/ImageServer
Metadata link: https://dmr-maine.opendata.arcgis.com/datasets/maine::mainedmr-cooperative-bottom-mapping-program-bathymetry/about
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.21 MassGIS Data: Bathymetry of the Gulf of Maine
4.21.1 Project information
Lead entity: State of Massachussettes
Partner entities: USGS
PI name: Unknown
PI contact information: Unknown
Data start year: 1930
Data end year: 1999
Spatial scale: Gulf of Maine
4.21.2 Data information
Project link: https://www.mass.gov/info-details/massgis-data-bathymetry-of-the-gulf-of-maine
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.21.3 Project description
This datalayer represents seafloor topography for the Gulf of Maine, extending from the Bay of Fundy south of New Brunswick to the Continental Shelf southeast of Nantucket. The linework in this layer came from an ArcInfo bathymetric contour coverage available through the U.S. Geological Survey’s Coastal and Marine Geologic and Environmental Research program, part of its Woods Hole Field Center. MassGIS assembled the data into two ArcSDE layers, BATHYMGM_POLY and BATHYMGM_ARC. An annotation layer in ArcSDE is named BATHYMGM_ANNO_NAME.
4.22 NOAA Ship Hassler
4.22.1 Project information
Lead entity: NOS Office of Coast Survey
Partner entities: OCS/NCCOS (in the form of NOS-funded ship time)
PI name: Dave Packer, Paul Turner
PI contact information: dave.packer@noaa.gov, paul.turner@noaa.gov
Data start year: 2024
Data end year: 2024
Spatial scale: Gulf of Maine
4.22.2 Data information
Project link: https://storymaps.arcgis.com/collections/1ab1963befbf40f89b902a894cd08e3d?item=4
Data link: Upload to NCEI pending
Metadata link: NA
Data availability: No
Data categories: Bathymetry
Data type: spatial
4.23 OCS Block Area Sand Resources
4.23.1 Project information
Lead entity: NOAA
Partner entities: NA
PI name: Private Member -The PUG User Group
PI contact information: Unknown
Data start year: 2023
Data end year: 2023
Spatial scale: USA
4.23.2 Data information
Project link: https://coast.noaa.gov/arcgis/rest/services/OceanReports/OCSBlockAreasSandResources/MapServer
Data link: https://coast.noaa.gov/arcgis/rest/services/OceanReports/OCSBlockAreasSandResources/MapServer/0
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.23.3 Project description
These Outer Continental Shelf lease blocks or aliquots represent areas where sand resources have been identified through reconnaissance and/or design-level OCS studies. Additional OCS studies may be necessary in order to refine and quantify the extents of sand resources within these areas.
4.24 Water Depth
4.24.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NOAA National Geophysical Data Center
PI name: Unknown
PI contact information: Unknown
Data start year: Unknown
Data end year: Unknown
Spatial scale: Northwest Atlantic
4.24.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/2
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.25 Submarine Canyons
4.25.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Miles Macmillan-Lawler
PI contact information: Miles.Macmillan-Lawler@grida.no
Data start year: 2014
Data end year: Present
Spatial scale: USA
4.25.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/4
Data link: NA
Metadata link: https://www.northeastoceandata.org/files/metadata/Themes/PhysicalOceanography/Metadata/SubmarineCanyons.xml
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.26 60-meter Bathymetry Contour
4.26.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Unknown
PI contact information: Unknown
Data start year: Unknown
Data end year: Unknown
Spatial scale: USA
4.26.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/6
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.26.3 Project description
The feature class contains bathymetric contours which provide the size, shape and distribution of underwater features. The contours are from zero to -100m with a contour every 10 meters, a -101m to -500m with contours every 25meters, and -501m+ with contours every 100m until all contours had been created for the DEM utilized. The DEM utilized was the Global Multi-Resolution Topography (GMRT) Synthesis which is a multi-resolution gridded global Digital Elevation Model (DEM) that includes cleaned processed ship-based multibeam sonar data at their full spatial resolution (~100m in the deep sea).
4.27 Percent Sediment Type - Granule and pebble
4.27.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 2020
Data end year: Present
Spatial scale: Northwest Atlantic
4.27.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/9
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.27.3 Project description
This dataset constitutes a portion of the input data for the Northeast Fishing Effects Model (Fishing Effects), and its primary purpose is to serve as a base layer for that model. Five different sediment grain sizes plus a steep and deep habitat type are represented in the dataset, which indicates the proportion of each grain size occurring within each 5x5 km grid cell based on available data (primarily from the USGS and SMAST drop camera survey dataset). In areas where there were existing polygon interpretations of sediments, these are used instead of the point-based interpolations to determine the percent sediment values in the final sediment dataset. For each grid cell, the proportions across the five grain sizes and steep and deep habitat type sum to 1, such that the area of the grid cell is fully allocated to one or more of the six conditions. The legends and color ramps for each of the five grain size layers are unique so as to display the range of variability within each layer. The model domain is fromthe U.S./Canadian border to the N.C./S.C. border, and inshore to offshore from the coastline to the Exclusive Economic Zone boundary.
A secondary purpose for these maps of sediment grain sizes is to inform various spatial planning issues where seabed type is a consideration for decision making. It is important to understand caveats and limitations associated with both the underlying source data and this compilation when using the data for spatial planning. These limitations and caveats influence the Fishing Effects model percent habitat disturbance results as well. Additional information about the model can be found on the New England Fishery Management Council’s Fishing Effects page.
4.28 Percent Sediment Type - Mud
4.28.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 2020
Data end year: Present
Spatial scale: Northwest Atlantic
4.28.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/11
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.28.3 Project description
This dataset constitutes a portion of the input data for the Northeast Fishing Effects Model (Fishing Effects), and its primary purpose is to serve as a base layer for that model. Five different sediment grain sizes plus a steep and deep habitat type are represented in the dataset, which indicates the proportion of each grain size occurring within each 5x5 km grid cell based on available data (primarily from the USGS and SMAST drop camera survey dataset). In areas where there were existing polygon interpretations of sediments, these are used instead of the point-based interpolations to determine the percent sediment values in the final sediment dataset. For each grid cell, the proportions across the five grain sizes and steep and deep habitat type sum to 1, such that the area of the grid cell is fully allocated to one or more of the six conditions. The legends and color ramps for each of the five grain size layers are unique so as to display the range of variability within each layer. The model domain is fromthe U.S./Canadian border to the N.C./S.C. border, and inshore to offshore from the coastline to the Exclusive Economic Zone boundary.
A secondary purpose for these maps of sediment grain sizes is to inform various spatial planning issues where seabed type is a consideration for decision making. It is important to understand caveats and limitations associated with both the underlying source data and this compilation when using the data for spatial planning. These limitations and caveats influence the Fishing Effects model percent habitat disturbance results as well. Additional information about the model can be found on the New England Fishery Management Council’s Fishing Effects page.
4.29 Percent Sediment Type - Sand
4.29.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 2020
Data end year: Present
Spatial scale: Northwest Atlantic
4.29.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/12
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.29.3 Project description
This dataset constitutes a portion of the input data for the Northeast Fishing Effects Model (Fishing Effects), and its primary purpose is to serve as a base layer for that model. Five different sediment grain sizes plus a steep and deep habitat type are represented in the dataset, which indicates the proportion of each grain size occurring within each 5x5 km grid cell based on available data (primarily from the USGS and SMAST drop camera survey dataset). In areas where there were existing polygon interpretations of sediments, these are used instead of the point-based interpolations to determine the percent sediment values in the final sediment dataset. For each grid cell, the proportions across the five grain sizes and steep and deep habitat type sum to 1, such that the area of the grid cell is fully allocated to one or more of the six conditions. The legends and color ramps for each of the five grain size layers are unique so as to display the range of variability within each layer. The model domain is fromthe U.S./Canadian border to the N.C./S.C. border, and inshore to offshore from the coastline to the Exclusive Economic Zone boundary.
A secondary purpose for these maps of sediment grain sizes is to inform various spatial planning issues where seabed type is a consideration for decision making. It is important to understand caveats and limitations associated with both the underlying source data and this compilation when using the data for spatial planning. These limitations and caveats influence the Fishing Effects model percent habitat disturbance results as well. Additional information about the model can be found on the New England Fishery Management Council’s Fishing Effects page.
4.30 Percent Sediment Type - Steep/Deep
4.30.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 2020
Data end year: Present
Spatial scale: Northwest Atlantic
4.30.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/13
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.30.3 Project description
This dataset constitutes a portion of the input data for the Northeast Fishing Effects Model (Fishing Effects), and its primary purpose is to serve as a base layer for that model. Five different sediment grain sizes plus a steep and deep habitat type are represented in the dataset, which indicates the proportion of each grain size occurring within each 5x5 km grid cell based on available data (primarily from the USGS and SMAST drop camera survey dataset). In areas where there were existing polygon interpretations of sediments, these are used instead of the point-based interpolations to determine the percent sediment values in the final sediment dataset. For each grid cell, the proportions across the five grain sizes and steep and deep habitat type sum to 1, such that the area of the grid cell is fully allocated to one or more of the six conditions. The legends and color ramps for each of the five grain size layers are unique so as to display the range of variability within each layer. The model domain is fromthe U.S./Canadian border to the N.C./S.C. border, and inshore to offshore from the coastline to the Exclusive Economic Zone boundary.
A secondary purpose for these maps of sediment grain sizes is to inform various spatial planning issues where seabed type is a consideration for decision making. It is important to understand caveats and limitations associated with both the underlying source data and this compilation when using the data for spatial planning. These limitations and caveats influence the Fishing Effects model percent habitat disturbance results as well. Additional information about the model can be found on the New England Fishery Management Council’s Fishing Effects page.
4.31 Sediment Data Density
4.31.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 2020
Data end year: Present
Spatial scale: Northwest Atlantic
4.31.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/14
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.31.3 Project description
This dataset constitutes a portion of the input data for the Northeast Fishing Effects Model (Fishing Effects), and its primary purpose is to indicate the number of data points occurring within each 5x5 grid cell (data density). Sediment type and diversity values in cells with fewer observations may be less reliable than values calculated for grids with more grain size observations. This layer essentially serves as a data quality assessment, so users can visualize the limitations associated with both the underlying source data and this compilation when using the data for spatial planning. These limitations and caveats influence the Fishing Effects model percent habitat disturbance results as well.
In areas where there were existing polygon interpretations of sediments, the polygons were used instead of the point-based interpolations to determine the percent sediment values in the final sediment dataset. The polygon data are not included in this sediment data density product, only points. The detailed metadata document includes maps of where polygon data were used to classify habitat type. The methods for generating the percent sediment grid, including the use of polygon vs. point data in specific locations, are explained in the metadata document for that dataset. Additional information about the model can be found on the New England Fishery Management Council’s Fishing Effects page.
4.32 Sediment Diversity
4.32.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 2020
Data end year: Present
Spatial scale: Northwest Atlantic
4.32.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/15
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.32.3 Project description
This dataset constitutes a portion of the input data for the Northeast Fishing Effects Model (Fishing Effects), and its primary purpose is to indicate the number of sediment types associated with each 5 x 5 km grid cell in the percent sediment base layer for the Fishing Effects model. The maximum diversity is five, since there are five grain size classes: mud, sand, granule/pebble, cobble, and boulder. The grain size distribution was modeled based on available data (primarily from the USGS and SMAST drop camera survey dataset, and also from various sediment polygon data sources). This layer provides a rough indication of the diversity of sediment types within a cell. The associated map of sediment grain size diversity can be used to inform various spatial planning issues where seabed diversity is a consideration for decision making. It is important to understand caveats and limitations associated with both the underlying source data and this compilation when using the data for spatial planning. Additional information about the model can be found on the New England Fishery Management Council’s Fishing Effects page.
4.33 Percent Sediment Type - Boulder
4.33.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 2020
Data end year: Present
Spatial scale: Northwest Atlantic
4.33.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/16
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.33.3 Project description
This dataset constitutes a portion of the input data for the Northeast Fishing Effects Model (Fishing Effects), and its primary purpose is to serve as a base layer for that model. Five different sediment grain sizes plus a steep and deep habitat type are represented in the dataset, which indicates the proportion of each grain size occurring within each 5x5 km grid cell based on available data (primarily from the USGS and SMAST drop camera survey dataset). In areas where there were existing polygon interpretations of sediments, these are used instead of the point-based interpolations to determine the percent sediment values in the final sediment dataset. For each grid cell, the proportions across the five grain sizes and steep and deep habitat type sum to 1, such that the area of the grid cell is fully allocated to one or more of the six conditions. The legends and color ramps for each of the five grain size layers are unique so as to display the range of variability within each layer. The model domain is fromthe U.S./Canadian border to the N.C./S.C. border, and inshore to offshore from the coastline to the Exclusive Economic Zone boundary.
A secondary purpose for these maps of sediment grain sizes is to inform various spatial planning issues where seabed type is a consideration for decision making. It is important to understand caveats and limitations associated with both the underlying source data and this compilation when using the data for spatial planning. These limitations and caveats influence the Fishing Effects model percent habitat disturbance results as well. Additional information about the model can be found on the New England Fishery Management Council’s Fishing Effects page.
4.34 Percent Sediment Type - Cobble
4.34.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Michelle Bachman
PI contact information: mbachman@nefmc.org
Data start year: 2020
Data end year: Present
Spatial scale: Northwest Atlantic
4.34.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/17
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.34.3 Project description
This dataset constitutes a portion of the input data for the Northeast Fishing Effects Model (Fishing Effects), and its primary purpose is to serve as a base layer for that model. Five different sediment grain sizes plus a steep and deep habitat type are represented in the dataset, which indicates the proportion of each grain size occurring within each 5x5 km grid cell based on available data (primarily from the USGS and SMAST drop camera survey dataset). In areas where there were existing polygon interpretations of sediments, these are used instead of the point-based interpolations to determine the percent sediment values in the final sediment dataset. For each grid cell, the proportions across the five grain sizes and steep and deep habitat type sum to 1, such that the area of the grid cell is fully allocated to one or more of the six conditions. The legends and color ramps for each of the five grain size layers are unique so as to display the range of variability within each layer. The model domain is fromthe U.S./Canadian border to the N.C./S.C. border, and inshore to offshore from the coastline to the Exclusive Economic Zone boundary.
A secondary purpose for these maps of sediment grain sizes is to inform various spatial planning issues where seabed type is a consideration for decision making. It is important to understand caveats and limitations associated with both the underlying source data and this compilation when using the data for spatial planning. These limitations and caveats influence the Fishing Effects model percent habitat disturbance results as well. Additional information about the model can be found on the New England Fishery Management Council’s Fishing Effects page.
4.35 Median Bottom stress (Pa), Annual
4.35.1 Project information
Lead entity: USGS
Partner entities: NA
PI name: P. Soupy Dalyander
PI contact information: sdalyander@thewaterinstitute.org
Data start year: 2012
Data end year: Present
Spatial scale: Northwest Atlantic
4.35.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/7
Data link: NA
Metadata link: https://pubs.usgs.gov/of/2012/1137/
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.35.3 Project description
This data layer is a subset of the U.S. Geological Survey Sea Floor Stress and Sediment Mobility database U.S. Geological Survey Sea Floor Stress and Sediment Mobility database, and contains an estimate of the median of bottom shear stress for the Gulf of Maine and Middle Atlantic Bight. This output is based on statistical characterizations of numerical model estimates of wave and circulation patterns over an approximately one year time frame. These data are primarily intended to show the overall distribution of the average stress values on large spatial scales, and should be used qualitatively. Intended users include scientific researchers and the coastal and marine spatial planning community.
4.36 Median Bottom stress (Pa), Winter
4.36.1 Project information
Lead entity: USGS
Partner entities: NA
PI name: P. Soupy Dalyander
PI contact information: sdalyander@thewaterinstitute.org
Data start year: 2012
Data end year: Present
Spatial scale: Northwest Atlantic
4.36.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/18
Data link: NA
Metadata link: https://pubs.usgs.gov/of/2012/1137/
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.36.3 Project description
This data layer is a subset of the U.S. Geological Survey Sea Floor Stress and Sediment Mobility database U.S. Geological Survey Sea Floor Stress and Sediment Mobility database, and contains an estimate of the median of bottom shear stress for the Gulf of Maine and Middle Atlantic Bight. This output is based on statistical characterizations of numerical model estimates of wave and circulation patterns over an approximately one year time frame. These data are primarily intended to show the overall distribution of the average stress values on large spatial scales, and should be used qualitatively. Intended users include scientific researchers and the coastal and marine spatial planning community.
4.37 Median Bottom stress (Pa), Spring
4.37.1 Project information
Lead entity: USGS
Partner entities: NA
PI name: P. Soupy Dalyander
PI contact information: sdalyander@thewaterinstitute.org
Data start year: 2012
Data end year: Present
Spatial scale: Northwest Atlantic
4.37.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/19
Data link: NA
Metadata link: https://pubs.usgs.gov/of/2012/1137/
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.37.3 Project description
This data layer is a subset of the U.S. Geological Survey Sea Floor Stress and Sediment Mobility database U.S. Geological Survey Sea Floor Stress and Sediment Mobility database, and contains an estimate of the median of bottom shear stress for the Gulf of Maine and Middle Atlantic Bight. This output is based on statistical characterizations of numerical model estimates of wave and circulation patterns over an approximately one year time frame. These data are primarily intended to show the overall distribution of the average stress values on large spatial scales, and should be used qualitatively. Intended users include scientific researchers and the coastal and marine spatial planning community.
4.38 Median Bottom stress (Pa), Summer
4.38.1 Project information
Lead entity: USGS
Partner entities: NA
PI name: P. Soupy Dalyander
PI contact information: sdalyander@thewaterinstitute.org
Data start year: 2012
Data end year: Present
Spatial scale: Northwest Atlantic
4.38.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/20
Data link: NA
Metadata link: https://pubs.usgs.gov/of/2012/1137/
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.38.3 Project description
This data layer is a subset of the U.S. Geological Survey Sea Floor Stress and Sediment Mobility database U.S. Geological Survey Sea Floor Stress and Sediment Mobility database, and contains an estimate of the median of bottom shear stress for the Gulf of Maine and Middle Atlantic Bight. This output is based on statistical characterizations of numerical model estimates of wave and circulation patterns over an approximately one year time frame. These data are primarily intended to show the overall distribution of the average stress values on large spatial scales, and should be used qualitatively. Intended users include scientific researchers and the coastal and marine spatial planning community.
4.39 Median Bottom stress (Pa), Fall
4.39.1 Project information
Lead entity: USGS
Partner entities: NA
PI name: P. Soupy Dalyander
PI contact information: sdalyander@thewaterinstitute.org
Data start year: 2012
Data end year: Present
Spatial scale: Northwest Atlantic
4.39.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/21
Data link: NA
Metadata link: https://pubs.usgs.gov/of/2012/1137/
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.39.3 Project description
This data layer is a subset of the U.S. Geological Survey Sea Floor Stress and Sediment Mobility database U.S. Geological Survey Sea Floor Stress and Sediment Mobility database, and contains an estimate of the median of bottom shear stress for the Gulf of Maine and Middle Atlantic Bight. This output is based on statistical characterizations of numerical model estimates of wave and circulation patterns over an approximately one year time frame. These data are primarily intended to show the overall distribution of the average stress values on large spatial scales, and should be used qualitatively. Intended users include scientific researchers and the coastal and marine spatial planning community.
4.40 Median Bottom stress (Pa)
4.40.1 Project information
Lead entity: USGS
Partner entities: NA
PI name: P. Soupy Dalyander
PI contact information: sdalyander@thewaterinstitute.org
Data start year: 2012
Data end year: Present
Spatial scale: Northwest Atlantic
4.40.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/22
Data link: NA
Metadata link: https://pubs.usgs.gov/of/2012/1137/
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.40.3 Project description
This data layer is a subset of the U.S. Geological Survey Sea Floor Stress and Sediment Mobility database U.S. Geological Survey Sea Floor Stress and Sediment Mobility database, and contains an estimate of the median of bottom shear stress for the Gulf of Maine and Middle Atlantic Bight. This output is based on statistical characterizations of numerical model estimates of wave and circulation patterns over an approximately one year time frame. These data are primarily intended to show the overall distribution of the average stress values on large spatial scales, and should be used qualitatively. Intended users include scientific researchers and the coastal and marine spatial planning community.
4.41 Maine Seafloor Mapping Priorities 2024-2025
4.41.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Jesse Minor
PI contact information: jesse.minor@maine.gov
Data start year: 2024
Data end year: 2025
Spatial scale: Gulf of Maine
4.41.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/29
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.42 Saildrone Gulf of Maine Mission
4.42.1 Project information
Lead entity: Northeast Ocean Data
Partner entities: NA
PI name: Unknown
PI contact information: Unknown
Data start year: 2023
Data end year: 2024
Spatial scale: Gulf of Maine
4.42.2 Data information
Project link: https://services.northeastoceandata.org/arcgis1/rest/services/PhysicalOceanography/MapServer/30
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.42.3 Project description
NOAA Fisheries Deep Sea Coral Research and Technology Program and Saildrone Inc. are using the USVs for research purposes to collect high-resolution seafloor bathymetry and backscatter data along predetermined survey tracklines. This project surveys deep sea corals and canyons.
4.43 R/V Connecticut - Coast Survey E01428
4.43.1 Project information
Lead entity: Ocean Exploration Cooperative Institute (OECI) and URI
Partner entities: NCCOS, OCS/IOCM, DSCRTP, OER, USGS, Kongsberg, Stony Brook Univ
PI name: William Danforth (USGS), Jason Meyer (Meyer Hydrographic, LLC)
PI contact information: bdanforth@usgs.gov, jason7seas@gmail.com
Data start year: 2024
Data end year: 2024
Spatial scale: Gulf of Maine
4.43.2 Data information
Project link: https://www.ngdc.noaa.gov/nos/E00001-E02000/E01428.html
Data link: https://www.ngdc.noaa.gov/nos/E00001-E02000/E01428.html
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.44 Surficial Sediment Classification
4.44.1 Project information
Lead entity: NOAA
Partner entities: NA
PI name: Unknown
PI contact information: Unknown
Data start year: Unknown
Data end year: Unknown
Spatial scale: USA
4.44.2 Data information
Project link: https://coast.noaa.gov/arcgis/rest/services/OceanReports/SurficialSedimentClassification/MapServer
Data link: https://coast.noaa.gov/arcgis/rest/services/OceanReports/SurficialSedimentClassification/MapServer/0
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry, Habitat
Data type: spatial
4.45 Wrecks and Obstructions
4.45.1 Project information
Lead entity: NOAA
Partner entities: NA
PI name: NOAA OCM
PI contact information: coastal.info@noaa.gov
Data start year: 2023
Data end year: 2024
Spatial scale: USA
4.45.2 Data information
Project link: https://coast.noaa.gov/arcgis/rest/services/OceanReports/WrecksAndObstructions/MapServer
Data link: https://coast.noaa.gov/arcgis/rest/services/OceanReports/WrecksAndObstructions/MapServer/0
Metadata link: https://www.fisheries.noaa.gov/inport/item/70439
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.46 Anticipating the Winds of Change: A Baseline Assessment of Northeastern US Continental Shelf Surficial Sediments
4.46.1 Project information
Lead entity: UMASS Dartmouth SMAST
Partner entities: NA
PI name: Kevin Stokesbury
PI contact information: kstokesbury@umass.edu
Data start year: 2023
Data end year: 2024
Spatial scale: Northwest Atlantic
4.46.2 Data information
Project link: https://onlinelibrary.wiley.com/doi/10.1111/fog.12693
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.46.3 Project description
This work involved using two large data sets (SMAST drop camera surveys involving 242,949 samples and USGS survey data bases involving 27,784 samples) were combined to derive seafloor surficial substrate probability maps for the Northeastern US continental shelf from Virginia Beach to the Gulf of Maine to 300m in depth.
[1] “This data was sourced from: RWSC_early-2025”
4.47 CZM Seafloor and Habitat Mapping Program
4.47.1 Project information
Lead entity: Massachusetts Office of Coastal Zone Management
Partner entities: USGS
PI name: Kathryn H. Ford
PI contact information: kathryn.ford@noaa.gov
Data start year: 1950
Data end year: Present
Spatial scale: State
4.47.2 Data information
Project link: https://www.mass.gov/service-details/overview-and-index-czm-seafloor-and-habitat-mapping-program
Data link: https://www.usgs.gov/centers/whcmsc/science/geologic-mapping-massachusetts-seafloor
Metadata link: https://www.mass.gov/doc/seafloor-sediment-mapping-2010-tr-45/download
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.47.3 Project description
The Massachusetts Office of Coastal Zone Management (CZM), through its Seafloor and Habitat Mapping Program, collects data and develops maps showing the distribution and diversity of seafloor habitats. This information helps protect these resources and ensure that development projects in Massachusetts ocean waters avoid and minimize potential impacts.
[1] “This data was sourced from: RWSC_early-2025”
4.48 Maine Department of Marine Resources seafloor mapping and characterization
4.48.1 Project information
Lead entity: Maine Department of Marine Resources
Partner entities: NA
PI name: Unknown
PI contact information: offshorewind@maine.gov
Data start year: 2024
Data end year: 2030
Spatial scale: Project
4.48.2 Data information
Project link: https://www.maine.gov/dmr/node/1467
Data link: NA
Metadata link: NA
Data availability: No
Data categories: Bathymetry
Data type: spatial
4.49 Maine eDNA
4.49.1 Project information
Lead entity: University of Maine
Partner entities: NA
PI name: Unknown
PI contact information: https://umaine.edu/edna/contact-us/
Data start year: 2020
Data end year: 2025
Spatial scale: State
4.49.2 Data information
Project link: https://umaine.edu/edna/
Data link: NA
Metadata link: NA
Data availability: No
Data categories: Sea turtles, Seabirds, Plankton, Marine mammals, Groundfish, Elasmobranchs, Pelagic fishes, Bathymetry
Data type: “research project, synthesis, or technology development”
4.49.3 Project description
Maine eDNA is a 5-year research, education, and outreach program that seeks to transform our understanding and sustainability of Maine’s coastal ecosystems via environmental DNA (eDNA) innovations that unlock new scales of inference and new scales of collaboration.
[1] “This data was sourced from: RWSC_early-2025”
4.50 Northeast Bathymetry and Backscatter Compilation: Western Gulf of Maine, Southern New England and Long Island
4.50.1 Project information
Lead entity: University of New Hampshire’s The Center for Coastal and Ocean Mapping/Joint Hydrographic Center
Partner entities: NA
PI name: Paul Johnson
PI contact information: pjohnson@ccom.unh.edu
Data start year: 2020
Data end year: Unknown
Spatial scale: Northwest Atlantic
4.50.2 Data information
Project link: https://ccom.unh.edu/project/NE-bathymetry-and-backscatter-compilation
Data link: NA
Metadata link: NA
Data availability: Yes
Data categories: Bathymetry
Data type: spatial
4.50.3 Project description
The “Northeast Bathymetry and Backscatter Compilation: Western Gulf of Maine, Southern New England and Long Island“ (hereafter referred to as the “Compilation”) brings together the MBES surveys for the NE with the primary goal of presenting a synthesis of all of the high-resolution bathymetry in a single gridded surface and presenting backscatter where available and of good quality. Also, a lower resolution regional synthesis is presented. The high-resolution bathymetry synthesis primarily consists of MBES surveys gridded at 4 m. The regional bathymetry surface consists of single beam echosounder (SBES) and MBES surveys gridded at 16 m. The backscatter includes compilations for the inner shelf off New Hampshire (NH) by the University of New Hampshire (UNH) Center for Coastal and Ocean Mapping and Joint Hydrographic Center (CCOM/JHC) and for the Massachusetts coast north of Cape Cod by the United States Geological Survey (USGS). In addition, there are a number of individual MBES surveys presented.
[1] “This data was sourced from: RWSC_early-2025”