Datasets provided include CRSI scores and regional ranks for original national assessment, and coastal regional rescale for coastal and coastal shoreline (ENOW) counties (Figure 3; Table 1). LQ values are provided for all GOM ENOW counties for total ocean economy employment and for each sector (Table 2). The percentile ranked values for the GOM counties with total ocean economy LQ values >1 are included for CRSI and LQ (Figure 4). Links to the publicly available data used to calculate LQ values is included in the manuscript. This dataset is associated with the following publication: Smith, L., L. Harwell, K. Summers, J. Bousquin, K. Buck, J. Harvey, and M. McLaughlin. Using Re-scaled Resilience Screening Index Results and Location Quotients for Socio-Ecological Characterizations in U.S. Coastal Regions. Frontiers in Environmental Science. Frontiers, Lausanne, SWITZERLAND, 7: 96, (2019).

Each point in Coastal Resiliency Assessment Shoreline Points represents a 250 meter segment of the Maryland coast, including Atlantic, Chesapeake Bay and Coastal Bay shorelines. The Natural Capital Project's Coastal Vulnerability model was used to calculate a Shoreline Hazard Index, representing the relative exposure of each segment to storm-induced erosion and flooding. Inputs to the model included 6 physical variables (geomorphology, elevation, sea level rise, wave power, storm surge height and erosion rates) and 5 habitat types (forest, marsh, dune, oyster reef and underwater grass). Two scenarios of the model were run: one scenario incorporating the protective role of all existing coastal habitats and the other scenario simulating the complete loss of habitats. The difference between the two scenarios indicates the potential magnitude of coastal hazard reduction by habitats at each location. Model results were integrated with MD DNR’s Community Flood Risk Areas (March, 2016) in order to highlight areas where hazard reduction by habitats is most likely to benefit at-risk coastal communities. This dataset was produced under award number NA13NOS4190136 from the Office of Ocean and Coastal Resource Management (OCRM), National Oceanic and Atmospheric Administration (NOAA) through the Maryland Department of Natural Resources Chesapeake and Coastal Services (CCS). The statements, finding and recommendations are those of the authors and do not necessarily reflect the views of NOAA or the U.S. Department of Commerce. The Natural Capital Project (NatCap), CCS and The Nature Conservancy (TNC) all contributed to the production of this dataset.

Each point in Coastal Resiliency Assessment Shoreline Points represents a 250 meter segment of the Maryland coast, including Atlantic, Chesapeake Bay and Coastal Bay shorelines. The Natural Capital Project's Coastal Vulnerability model was used to calculate a Shoreline Hazard Index, representing the relative exposure of each segment to storm-induced erosion and flooding. Inputs to the model included 6 physical variables (geomorphology, elevation, sea level rise, wave power, storm surge height and erosion rates) and 5 habitat types (forest, marsh, dune, oyster reef and underwater grass). Two scenarios of the model were run: one scenario incorporating the protective role of all existing coastal habitats and the other scenario simulating the complete loss of habitats. The difference between the two scenarios indicates the potential magnitude of coastal hazard reduction by habitats at each location. Model results were integrated with MD DNR’s Community Flood Risk Areas (March, 2016) in order to highlight areas where hazard reduction by habitats is most likely to benefit at-risk coastal communities. This dataset was produced under award number NA13NOS4190136 from the Office of Ocean and Coastal Resource Management (OCRM), National Oceanic and Atmospheric Administration (NOAA) through the Maryland Department of Natural Resources Chesapeake and Coastal Services (CCS). The statements, finding and recommendations are those of the authors and do not necessarily reflect the views of NOAA or the U.S. Department of Commerce. The Natural Capital Project (NatCap), CCS and The Nature Conservancy (TNC) all contributed to the production of this dataset.

Each point in Coastal Resiliency Assessment Shoreline Points represents a 250 meter segment of the Maryland coast, including Atlantic, Chesapeake Bay and Coastal Bay shorelines. The Natural Capital Project's Coastal Vulnerability model was used to calculate a Shoreline Hazard Index, representing the relative exposure of each segment to storm-induced erosion and flooding. Inputs to the model included 6 physical variables (geomorphology, elevation, sea level rise, wave power, storm surge height and erosion rates) and 5 habitat types (forest, marsh, dune, oyster reef and underwater grass). Two scenarios of the model were run: one scenario incorporating the protective role of all existing coastal habitats and the other scenario simulating the complete loss of habitats. The difference between the two scenarios indicates the potential magnitude of coastal hazard reduction by habitats at each location. Model results were integrated with MD DNR’s Community Flood Risk Areas (March, 2016) in order to highlight areas where hazard reduction by habitats is most likely to benefit at-risk coastal communities.

Each point in Coastal Resiliency Assessment Shoreline Points represents a 250 meter segment of the Maryland coast, including Atlantic, Chesapeake Bay and Coastal Bay shorelines. The Natural Capital Project's Coastal Vulnerability model was used to calculate a Shoreline Hazard Index, representing the relative exposure of each segment to storm-induced erosion and flooding. Inputs to the model included 6 physical variables (geomorphology, elevation, sea level rise, wave power, storm surge height and erosion rates) and 5 habitat types (forest, marsh, dune, oyster reef and underwater grass). Two scenarios of the model were run: one scenario incorporating the protective role of all existing coastal habitats and the other scenario simulating the complete loss of habitats. The difference between the two scenarios indicates the potential magnitude of coastal hazard reduction by habitats at each location. Model results were integrated with MD DNR’s Community Flood Risk Areas (March, 2016) in order to highlight areas where hazard reduction by habitats is most likely to benefit at-risk coastal communities.

Each point in Coastal Resiliency Assessment Shoreline Points represents a 250 meter segment of the Maryland coast, including Atlantic, Chesapeake Bay and Coastal Bay shorelines. The Natural Capital Project's Coastal Vulnerability model was used to calculate a Shoreline Hazard Index, representing the relative exposure of each segment to storm-induced erosion and flooding. Inputs to the model included 6 physical variables (geomorphology, elevation, sea level rise, wave power, storm surge height and erosion rates) and 5 habitat types (forest, marsh, dune, oyster reef and underwater grass). Two scenarios of the model were run: one scenario incorporating the protective role of all existing coastal habitats and the other scenario simulating the complete loss of habitats. The difference between the two scenarios indicates the potential magnitude of coastal hazard reduction by habitats at each location. Model results were integrated with MD DNR’s Community Flood Risk Areas (March, 2016) in order to highlight areas where hazard reduction by habitats is most likely to benefit at-risk coastal communities. This dataset was produced under award number NA13NOS4190136 from the Office of Ocean and Coastal Resource Management (OCRM), National Oceanic and Atmospheric Administration (NOAA) through the Maryland Department of Natural Resources Chesapeake and Coastal Services (CCS). The statements, finding and recommendations are those of the authors and do not necessarily reflect the views of NOAA or the U.S. Department of Commerce. The Natural Capital Project (NatCap), CCS and The Nature Conservancy (TNC) all contributed to the production of this dataset.

Each point in Coastal Resiliency Assessment Shoreline Points represents a 250 meter segment of the Maryland coast, including Atlantic, Chesapeake Bay and Coastal Bay shorelines. The Natural Capital Project's Coastal Vulnerability model was used to calculate a Shoreline Hazard Index, representing the relative exposure of each segment to storm-induced erosion and flooding. Inputs to the model included 6 physical variables (geomorphology, elevation, sea level rise, wave power, storm surge height and erosion rates) and 5 habitat types (forest, marsh, dune, oyster reef and underwater grass). Two scenarios of the model were run: one scenario incorporating the protective role of all existing coastal habitats and the other scenario simulating the complete loss of habitats. The difference between the two scenarios indicates the potential magnitude of coastal hazard reduction by habitats at each location. Model results were integrated with MD DNR’s Community Flood Risk Areas (March, 2016) in order to highlight areas where hazard reduction by habitats is most likely to benefit at-risk coastal communities. This dataset was produced under award number NA13NOS4190136 from the Office of Ocean and Coastal Resource Management (OCRM), National Oceanic and Atmospheric Administration (NOAA) through the Maryland Department of Natural Resources Chesapeake and Coastal Services (CCS). The statements, finding and recommendations are those of the authors and do not necessarily reflect the views of NOAA or the U.S. Department of Commerce. The Natural Capital Project (NatCap), CCS and The Nature Conservancy (TNC) all contributed to the production of this dataset.

A climate change vulnerability assessment which integrated issues across natural resources, cultural resources, and facility assets, was conducted between March and July 2022 for George Washington Birthplace National Monument. This was a rapid assessment using existing data and expert knowledge to understand the general trends in vulnerability across three time frames – 2022, 2050, and 2100. Scores for components of vulnerability (exposure and sensitivity) and adaptive capacity for each resource, by stressor and accompanying notes based on workshops are included. Climate stressors used to assess vulnerability included sea level rise (SLR), storm surge, flooding, erosion rates, precipitation and temperature changes. This EXCEL File contains the raw data to support the main report with tabs each for Natural Resources, Cultural Resources and Facilities for each time frame.

A climate change vulnerability assessment which integrated issues across natural resources, cultural resources, and facility assets, was conducted between March and July 2022 for George Washington Birthplace National Monument. This was a rapid assessment using existing data and expert knowledge to understand the general trends in vulnerability across three time frames – 2022, 2050, and 2100. Scores for components of vulnerability (exposure and sensitivity) and adaptive capacity for each resource, by stressor and accompanying notes based on workshops are included. Climate stressors used to assess vulnerability included sea level rise (SLR), storm surge, flooding, erosion rates, precipitation and temperature changes. This EXCEL File contains the raw data to support the main report with tabs each for Natural Resources, Cultural Resources and Facilities for each time frame.