The dataset includes estimates of salinity using specific conductance measurements at 1) Caño Boquerón, Cabo Rojo, and 2) Puerto Mosquito, Isla de Vieques; Puerto Rico for the period from July 2015 to July 2016. This dataset is part of a limnological analysis at Caño Boquerón and Puerto Mosquito to assess the principal factors affecting the hydrology and water-quality conditions. In addition, the study provides baseline information to regulatory agencies responsible for the management and conservation of coastal waters in Puerto Rico. The investigation focused on Caño Boquerón (disturbed conditions); and Puerto Mosquito (undisturbed conditions). Monthly measurements of specific conductance were collected at both locations.

The dataset contains the selected physical properties and chemical constituents that were measured at Caño Boquerón, Cabo Rojo, and Puerto Mosquito, Isla de Vieques, Puerto Rico during a diurnal cycle. Two diel studies were conducted per lagoon to determine the community primary productivity. Photosynthesis creates oxygen which enhances microbiological activity and results in the production of organic matter. Primary productivity is important for supporting the food web in aquatic ecosystems. The field data collection included the measurement of temperature, dissolved oxygen, and percent of oxygen saturation. Measurements were obtained at about 1 hour intervals. Diel studies were conducted on October 29, 2015 and March 2, 2016 at Caño Boquerón, Cabo Rojo, Puerto Rico, and on November 17, 2015 and March 9, 2016 at Puerto Mosquito, Isla de Vieques, Puerto Rico.

This dataset consists of a shapefile of points corresponding to water depth collected for the bathymetric survey of Puerto Mosquito, in Isla de Vieques, Puerto Rico, on August 11, 2015. The U.S. Geological Survey, in cooperation with the Puerto Rico Environmental Quality Board, conducted a limnological study at Puerto Mosquito in Vieques to assess the principal mechanisms affecting the hydrology and water quality characteristics. The study characterized hydrologic and physical-chemical properties, sediment deposition rates, bathymetry, and biological conditions. The bathymetric survey system used for the study consisted of coupling a global positioning system (GPS) device with a water depth sounder. Established navigation lines were used to simultaneously collect the water depth and geographic location data using a bathymetric system. A bathymetric map was generated by transferring collected data into a geographic information system (GIS).

This dataset consists of a shapefile of points corresponding to water depth collected for the bathymetric survey of Puerto Mosquito, in Isla de Vieques, Puerto Rico, on August 11, 2015. The U.S. Geological Survey, in cooperation with the Puerto Rico Environmental Quality Board, conducted a limnological study at Puerto Mosquito in Vieques to assess the principal mechanisms affecting the hydrology and water quality characteristics. The study characterized hydrologic and physical-chemical properties, sediment deposition rates, bathymetry, and biological conditions. The bathymetric survey system used for the study consisted of coupling a global positioning system (GPS) device with a water depth sounder. Established navigation lines were used to simultaneously collect the water depth and geographic location data using a bathymetric system. A bathymetric map was generated by transferring collected data into a geographic information system (GIS).

This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ Indian River Lagoon - St. Lucie Estuary (IRL-SLE) station in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this dataset when new files are available.

This dataset consists of a shapefile of lines representing the bathymetric survey of Puerto Mosquito, in Isla de Vieques, Puerto Rico, on August 11, 2015. The U.S. Geological Survey, in cooperation with the Puerto Rico Environmental Quality Board, conducted a limnological study at Puerto Mosquito in Isla de Vieques to assess the principal mechanisms affecting the hydrology and water quality characteristics. The study characterized hydrologic and physical-chemical properties, sediment deposition rates, bathymetry, and biological conditions. The bathymetric survey system used for the study consisted of coupling a global positioning system (GPS) device with a water depth sounder. Established navigation lines were used to simultaneously collect water depth and geographic location data using a bathymetric system. A bathymetric map was generated by transferring collected data into a geographic information system (GIS)

Water-quality constituents were measured along planned survey lines, which were generally perpendicular to the shoreline and spaced 100 meters apart, over an approximately 2.3-mile section of nearshore Lake Erie on June 10-12, 2019 (survey 1), and August 19-21, 2019 (survey 2), with a YSI EcoMapper autonomous underwater vehicle (AUV) using an undulating dive pattern (a 15-degree dive angle between the surface and 6 feet above the bottom). Water-quality data collected in this area included three-dimensional measurements of water temperature, specific conductance, pH, dissolved oxygen, chlorophyll, and phycocyanin (blue-green algae). The water-quality data were measured at 1-second intervals and were geo-referenced with the AUV onboard Global Positioning System (GPS WAAS) system. There was a total of 40 survey lines which typically started about 50 meters offshore and ended 500 meters offshore, and the survey lines covered the area around the mouth of Euclid Creek, Villa Angela Beach, Wildwood Marina, and the Easterly Wastewater Treatment Plant. Data were post-processed with a custom MATLAB script. Each water-quality measurement has an associated latitude and longitude (WGS84) and sample depth (in meters) below the surface. All water-quality sensors were calibrated per USGS standard methods prior to the start of the survey. These water-quality measurements were collected over the course of six total days, three in early summer (survey 1) and three in late summer (survey 2), to characterize circulation, mixing, and transport patterns in nearshore Lake Erie in the vicinity of Euclid Creek and Villa Angela Beach.

Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center collected 303 surface sediment samples from Dauphin Island, Alabama, and the surrounding water bodies in August 2015. These sediments were processed to determine physical characteristics such as organic content, bulk density, and grain-size. The environments where the sediments were collected include high and low salt marshes, over-wash deposits, dunes, beaches, sheltered bays, and open water. Sampling by the USGS was part of a larger study to assess the feasibility and sustainability of proposed restoration efforts for Dauphin Island, Alabama, and assess the island’s resilience to rising sea level and storm events. The data presented in this publication can be used by modelers to attempt validation of hindcast models and create predictive forecast models for both baseline conditions and storms. This study was funded by the National Fish and Wildlife Foundation, via the Gulf Environmental Benefit Fund. This report serves as an archive for sedimentological data derived from surface sediments. Downloadable data are available as Excel spreadsheets, JPEG files, and formal Federal Geographic Data Committee metadata (data downloads).

Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center collected 303 surface sediment samples from Dauphin Island, Alabama, and the surrounding water bodies in August 2015. These sediments were processed to determine physical characteristics such as organic content, bulk density, and grain-size. The environments where the sediments were collected include high and low salt marshes, over-wash deposits, dunes, beaches, sheltered bays, and open water. Sampling by the USGS was part of a larger study to assess the feasibility and sustainability of proposed restoration efforts for Dauphin Island, Alabama, and assess the island’s resilience to rising sea level and storm events. The data presented in this publication can be used by modelers to attempt validation of hindcast models and create predictive forecast models for both baseline conditions and storms. This study was funded by the National Fish and Wildlife Foundation, via the Gulf Environmental Benefit Fund. This report serves as an archive for sedimentological data derived from surface sediments. Downloadable data are available as Excel spreadsheets, JPEG files, and formal Federal Geographic Data Committee metadata (data downloads).

This dataset contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention (CF) and the Attribute Convention for Data Discovery (ACDD). Florida Atlantic University collected the data from their in-situ Indian River Lagoon - Jensen Beach (IRL-JB) station in the Coastal Waters of Florida. Southeast Coastal Ocean Observing Regional Association (SECOORA), which assembles data from Florida Atlantic University and other sub-regional coastal and ocean observing systems of the Southeast United States, submitted the data to NCEI as part of the Integrated Ocean Observing System Data Assembly Centers (IOOS DACs) Data Stewardship Program. NCEI updates this dataset when new files are available.