Woods Hole Coastal and Marine Science Center
Data and Tools
Data and tools produced by Woods Hole Coastal and Marine Science Center staff.
USGS Science Data Catalog
The USGS Science Data Catalog provides seamless access to USGS research and monitoring data from across the nation. Users have the ability to search, browse, or use a map-based interface to discover data.
Search for dataCoastal and Marine Geology Data Catalog
Publicly available USGS Coastal/Marine Hazards and Resources Program data.
Search for dataCoastal Marine Geoscience Data System
Provides information and access to the published data of the Coastal/Marine Hazards and Resources Program
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Internet Map Server and GIS Data
An internet map server and downloadable list of GIS data being served by the Coastal/Marine Hazards and Resources Program.
Dune Metrics for the Massachusetts Coast as Derived From 2013–14 Topographic Lidar Data
This data release, which is part of the 2018 update, defines the position and elevation of the most seaward dune crest and toe along the Massachusetts coast as derived from 2013–14 lidar data. In the absence of a dune, the peak of the berm or the seaward edge of a bluff, headland, or hard structure (for example, a seawall, road, or parking lot) was chosen as a proxy for the dune crest.
High-resolution geophysical data collected in Lake Powell, Utah-Arizona, U.S. Geological Survey Field Activity 2017-049-FA
High-resolution geophysical mapping of Lake Powell in the Glen Canyon National Recreation Area in Utah and Arizona was conducted between October 8 and November 15, 2017, as part of a collaborative effort between the U.S. Geological Survey and the Bureau of Reclamation to provide high-quality data needed to reassess the area-capacity tables for the Lake Powell reservoir.
Mean tidal range in marsh units of Assateague Island National Seashore and Chincoteague Bay, Maryland and Virginia
This dataset displays the spatial variation of mean tidal range (i.e. Mean Range of Tides, MN) in the Assateague Island National Seashore and Chincoteague Bay based on conceptual marsh units defined by Defne and Ganju (2018). MN was based on the calculated difference in height between mean high water (MHW) and mean low water (MLW) using the VDatum (v3.5) database (...
Unvegetated to vegetated marsh ratio in Assateague Island National Seashore and Chincoteague Bay, Maryland and Virginia
Unvegetated to vegetated marsh ratio (UVVR) in the Assateague Island National Seashore and Chincoteague Bay is computed based on conceptual marsh units. The response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services.
Elevation of marsh units in Assateague Island National Seashore and Chincoteague Bay, Maryland and Virginia
Elevation distribution in the Assateague Island National Seashore (ASIS) salt marsh complex and Chincoteague Bay is given in terms of mean elevation of conceptual marsh units. The response and resilience of coastal wetlands to physical factors need to be assessed in terms of the ensuing change to their vulnerability and ecosystem services.
Conceptual marsh units for Assateague Island National Seashore and Chincoteague Bay, Maryland and Virginia
The salt marsh complex of Assateague Island National Seashore (ASIS) and Chincoteague Bay was delineated to smaller, conceptual marsh units by geoprocessing of surface elevation data. Flow accumulation based on the relative elevation of each location is used to determine the ridge lines that separate each marsh unit while the surface slope is used to automatically assign each unit a drainage...
Mean tidal range in marsh units of Plum Island Estuary and Parker River salt marsh complex, Massachusetts
This dataset displays the spatial variation of mean tidal range (i.e. Mean Range of Tides, MN) in the Plum Island Estuary and Parker River (PIEPR) salt marsh complex based on conceptual marsh units defined by Defne and Ganju (2018). MN was based on the calculated difference in height between mean high water (MHW) and mean low water (MLW) using the VDatum (v3.5) database.
Unvegetated to vegetated marsh ratio in Plum Island Estuary and Parker River salt marsh complex, Massachusetts
Through scientific efforts initiated with the Hurricane Sandy Science Plan, the USGS has been expanding national assessment of coastal change hazards and forecast products to coastal wetlands, including the Plum Island Estuary and Parker River salt marsh complex, with the intent of providing Federal, State, and local managers tools to estimate the vulnerability and ecosystem service potential...
Elevation of marsh units in Plum Island Estuary and Parker River salt marsh complex, Massachusetts
This data release provides elevation distribution in the Plum Island Estuary and Parker River (PIEPR) salt marsh complex. Elevation distribution was calculated in terms of mean elevation of conceptual marsh units. The elevation data was based on the 1-meter gridded Digital Elevation Model and supplemented by 1-meter resampled 1/9 arc-second resolution National Elevation Data, where data gaps...
Conceptual marsh units for Plum Island Estuary and Parker River salt marsh complex, Massachusetts
The salt marsh complex of Plum Island Estuary and Parker River was delineated to smaller, conceptual marsh units by geoprocessing of surface elevation data. Flow accumulation based on the relative elevation of each location was used to determine the ridge lines that separate each marsh unit while the surface slope was used to automatically assign each unit a drainage point, where water drains...
Sampling data collected in Ipswich Bay and Massachusetts Bay, Massachusetts, in 2012, U.S. Geological Survey Field Activity 2012-035-FA
This dataset, collected aboard the Ocean Survey Vessel Bold as part of the Geologic Mapping of the Massachusetts Sea Floor Program. During the survey, surficial sediment samples and bottom still and video imagery were collected in Ipswich Bay and Massachusetts Bay, Massachusetts.
Coastal Landscape Response to Sea-Level Rise Assessment for the Northeastern United States
Sea-level rise (SLR) impacts on the coastal landscape are presented here as: 1) level of landscape submergence (adjusted land elevation with respect to projected mean high water levels); and 2) coastal response type characterized as either static (for example, inundation) or dynamic (for example, landform or landscape change). Results are produced at a spatial scale of 30 meters.