Data

This data release identifies 555 Hydro-Climatic Data Network (HCDN) streamgages in the conterminous United States during the period 1981-2019 which were grouped according to similarity in their temporal patterns of monthly streamflow.

R-based script used to simulate patterns of co-occurrence among two hypothetical species under patterns of avoidance, aggregation, and independence when the closure assumption is met or not, analyze simulated patterns with two-species occupancy models, and summarize the results.

This USGS data release documents coarse ranges for 123 fish species in the conterminous United States for level 8 hydrologic units from the Watershed Boundary Dataset (WBD). These range maps were derived by combining known fish occurrence information from four data sources: point occurrences from the Aquatic Gap Analysis Project (AGAP) fish database, point occurrences from the IchthyMaps...

Coast Train is a library of images of coastal environments, annotations, and corresponding thematic label masks (or 'label images') collated for the purposes of training and evaluating machine learning (ML), deep learning, and other models for image segmentation. It includes image sets from both geospatial satellite, aerial, and UAV imagery and orthomosaics, as well as non-geospatial...

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida (USGS-SPCSMC), conducted a geophysical survey nearshore the Rockaway Peninsula, New York, during June 2021. During this study, multibeam bathymetry and acoustic backscatter data were collected aboard the R/V Sallenger. Efforts were supported by the National Fish and...

Scientists from the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center in St. Petersburg, Florida (USGS - SPCSMC), conducted a geophysical survey nearshore Seven Mile Island, New Jersey, during May 2021. During this study, multibeam bathymetry and acoustic backscatter data were collected aboard the R/V Sallenger. Efforts were supported by the National Fish and...

The Coastal Storm Modeling System (CoSMoS) makes detailed predictions (meter-scale) over large geographic scales (100s of kilometers) of storm-induced coastal flooding and erosion for both current and future scenarios. CoSMoS 3.2 for Northern California shows projections for future scenarios (sea-level change and storms) to provide emergency responders and coastal planners with critical...

These data were used to quantify land area change in a wetlands possible zone of coastal wetlands during a 1985-2020 observation period. The datasets presented in this data release represent annual median estimates of the fractional amount of land, floating aquatic vegetation, submerged aquatic vegetation, and water per Landsat pixel. These data are intended for coarse-scale analysis of...

Climatic extremes are becoming more frequent with climate change and have the potential to cause major ecological shifts and ecosystem collapse. Along the northern Gulf of Mexico, a coastal wetland in the San Bernard National Wildlife Refuge in Texas suffered significant and acute vegetation dieback following Hurricane Harvey in 2017. We identified plant zonal boundaries along an...

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring to determine the efficacy of these projects. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for...

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling...

We have archived the derived data files and R/JAGS code for our analysis as a U.S. Geological Survey data release (link ). The code is divided into three R scripts: 1) pbdens_landdens_JWM.r contains R code for fitting hierarchical Bayesian models of polar bear maternal den abundance and distribution for the Southern Beaufort Sea (SBS) subpopulation, 1982-2015. This script requires the...