This dataset includes annual encrusting organism (oyster, mussel, barnacle) counts and density (ind m-2), and oyster shell height (mm) data for five bio-engineered reef designs: OysterbreakTM (OB), Wave Attenuating Device® (WAD), Reef Ball™ (rows of two, RFB2; rows of three, RFB3), ReefBLK℠ (RBL), and ShoreJAX™ (JAX). Data were collected during winter months (i.e., December-January) in 2017, 2018, and 2019 in low water when reefs were partially exposed.

This data set was generated to evaluate the status and response of oysters within Chicopit Bay, FL, in the Timucuan Ecological and Historic Preserve during and following dredging completed by the Army Corps of Engineers for the Mile Point Project. It includes live oyster area estimates from aerial images collected in 2016-2018.

This data set was generated to evaluate the status and response of oysters within Chicopit Bay, FL, in the Timucuan Ecological and Historic Preserve during and following dredging completed by the Army Corps of Engineers for the Mile Point Project. It includes live oyster area estimates from aerial images collected in 2016-2018.

These Oyster data were gathered and utilized during the Response and Assessment phases of the Deepwater Horizon oil spill in the Gulf of Mexico. These data are for the American or Eastern oysters and oyster reefs found in the Gulf. It includes discrete samples, field observations, field photographs and related files originating from the Oysters Technical Working Group (TWG). The data were compiled by the NOAA Office of Response and Restoration (OR&R) and Trustees in the Data Integration, Visualization, Exploration, and Reporting (DIVER) data warehouse prior to being archived by the NOAA National Centers for Environmental Information (NCEI). The collection of files include environmental data used to determine the extent and magnitude of injury to the Gulf of Mexico ecosystem from the Deepwater Horizon oil spill. These data were used as part of the Programmatic Damage Assessment and Restoration Plan (PDARP) developed through the Natural Resource Damage Assessment (NRDA) conducted as a result of the April 20, 2010 explosion and subsequent sinking of the Deepwater Horizon offshore drilling rig in the Gulf of Mexico, about 40 miles (60 km) southeast off the Louisiana coast, that led to a major oil spill in the region.

These Oyster data were gathered and utilized during the Response and Assessment phases of the Deepwater Horizon oil spill in the Gulf of Mexico. These data are for the American or Eastern oysters and oyster reefs found in the Gulf. It includes discrete samples, field observations, field photographs and related files originating from the Oysters Technical Working Group (TWG). The data were compiled by the NOAA Office of Response and Restoration (OR&R) and Trustees in the Data Integration, Visualization, Exploration, and Reporting (DIVER) data warehouse prior to being archived by the NOAA National Centers for Environmental Information (NCEI). The collection of files include environmental data used to determine the extent and magnitude of injury to the Gulf of Mexico ecosystem from the Deepwater Horizon oil spill. These data were used as part of the Programmatic Damage Assessment and Restoration Plan (PDARP) developed through the Natural Resource Damage Assessment (NRDA) conducted as a result of the April 20, 2010 explosion and subsequent sinking of the Deepwater Horizon offshore drilling rig in the Gulf of Mexico, about 40 miles (60 km) southeast off the Louisiana coast, that led to a major oil spill in the region.

A spatially explicit oyster habitat suitability index (HSI) model was developed for the Alabama barrier island restoration assessment at Dauphin Island. Based on previous oyster habitat suitability studies, seven water quality variables were selected and their relationships with habitat suitability were developed and incorporated into the oyster HSI model for Dauphin Island restoration assessment: 1) mean salinity, 2) minimum monthly mean salinity, 3) annual mean salinity, 4) annual mean dissolved oxygen, 5) annual mean total suspended solids, 6) annual mean water depth, and 7) annual mean water temperature. The final HSI score was calculated using the weighted geometric mean of the suitability scores of these individual variables. The oyster HSI model was calibrated and validated using field data on oyster density from the Alabama Department of Conservation and Natural Resources (ADCNR) Marine Resources Division (MRD and continuous water quality data from the Mobile Bay National Estuary Program. Then, the oyster HSI model was used to assess oyster habitat suitability changes with and without restoration under future storminess and sea level (SL) conditions. The barrier island restoration actions being assessed include beach and dune restoration, marsh restoration, and placement of sand in the littoral zone. The storminess bins included realizations with a “medium” storminess, which included 1 to 3 storms over a 10-year period (that is, ST2) and a “high” storminess, which included 4 to 5 storms over an equal period (that is, ST3). The two future sea levels included a SL of 0.3 m (that is, SL1) and a SL of 1.0 m (that is, SL3) above the contemporary SL. Specifically, the medium storminess was paired with the 0.3 m above the contemporary SL (that is, ST2SL1) and the “high” storminess bin was paired with the 1.0 m above the contemporary SL (that is, ST3SL3). To account for intertidal marsh vertical accretion as a component of marsh morphology evolution, two scenarios were included in modeling: the U.S. Army Corps of Engineers (USACE) high and intermediate SLR curves in which marsh kept pace with SLR through accretion (1 cm/yr) through 2022 under high SLR curve whereas marsh kept pace with SLR by accretion for the entirety of the USACE intermediate curve. Inputs of water quality conditions under future storminess and sea level conditions were provided by the CE-QUAL-ICM model that was coupled with a geomorphology model and a hydrodynamic model. This data release includes simulation results and metadata of oyster habitat suitability scores at each spatial unit (grid cell) across the study domain: estuarine waters near Dauphin Island.

A spatially explicit oyster habitat suitability index (HSI) model was developed for the Alabama barrier island restoration assessment at Dauphin Island. Based on previous oyster habitat suitability studies, seven water quality variables were selected and their relationships with habitat suitability were developed and incorporated into the oyster HSI model for Dauphin Island restoration assessment: 1) mean salinity, 2) minimum monthly mean salinity, 3) annual mean salinity, 4) annual mean dissolved oxygen, 5) annual mean total suspended solids, 6) annual mean water depth, and 7) annual mean water temperature. The final HSI score was calculated using the weighted geometric mean of the suitability scores of these individual variables. The oyster HSI model was calibrated and validated using field data on oyster density from the Alabama Department of Conservation and Natural Resources (ADCNR) Marine Resources Division (MRD and continuous water quality data from the Mobile Bay National Estuary Program. Then, the oyster HSI model was used to assess oyster habitat suitability changes with and without restoration under future storminess and sea level (SL) conditions. The barrier island restoration actions being assessed include beach and dune restoration, marsh restoration, and placement of sand in the littoral zone. The storminess bins included realizations with a “medium” storminess, which included 1 to 3 storms over a 10-year period (that is, ST2) and a “high” storminess, which included 4 to 5 storms over an equal period (that is, ST3). The two future sea levels included a SL of 0.3 m (that is, SL1) and a SL of 1.0 m (that is, SL3) above the contemporary SL. Specifically, the medium storminess was paired with the 0.3 m above the contemporary SL (that is, ST2SL1) and the “high” storminess bin was paired with the 1.0 m above the contemporary SL (that is, ST3SL3). To account for intertidal marsh vertical accretion as a component of marsh morphology evolution, two scenarios were included in modeling: the U.S. Army Corps of Engineers (USACE) high and intermediate SLR curves in which marsh kept pace with SLR through accretion (1 cm/yr) through 2022 under high SLR curve whereas marsh kept pace with SLR by accretion for the entirety of the USACE intermediate curve. Inputs of water quality conditions under future storminess and sea level conditions were provided by the CE-QUAL-ICM model that was coupled with a geomorphology model and a hydrodynamic model. This data release includes simulation results and metadata of oyster habitat suitability scores at each spatial unit (grid cell) across the study domain: estuarine waters near Dauphin Island.

These data represent oyster reefs in Georgia's coastal waterways, extending from Chatham County south to Glynn County. A pilot project for certain coastal regions was completed in 2013, with the remaining project areas finished in 2015. This mapping project was conducted under contract to the Georgia Department of Natural Resources with the goal of inventorying oyster reefs in Georgia's coastal waterways. Oyster reef extent polygons were created through heads-up digitization using 4-band, 6-inch resolution DMC digital aerial imagery as the source. This imagery was collected between November 2012 and February 2013. The minimum mapping unit is 5 square meters, though discretion was used to collect features smaller than this. Partners: Georgia Department of Natural Resources