Data

This product is a satellite-based habitat map time series from 2012 to 2020 for the Whiskey Island reach of the Louisiana Gulf shoreline to facilitate monitoring of the Natural Resource Damage Assessment (NRDA) Caillou Lake Headlands project area (TE-0100), also known as Whiskey Island. The project created 170 acres of marsh habitat and 917 acres of dune and beach habitat on Whiskey...

Tools for interacting with U.S. Geological Survey ScienceBase https://www.sciencebase.gov interfaces. ScienceBase is a data cataloging and collaborative data management platform. Functions included for querying ScienceBase, and creating and fetching datasets.

The Science-based Management of Ravens Tool (SMaRT) supports a science-based adaptive management framework that incorporates recent quantitative analyses and mapping products for addressing areas with elevated common raven (Corvus corax) numbers and minimizing potential adverse impacts to sensitive species, agricultural damage, and human safety (Dettenmaier et al. 2021). This is a web...

This repository contains R language source code used to read eight tab-delimited text files of state-level instances of the U.S. Army Corps of Engineers National Inventory of Dams (NID). The text file were generated from spreadsheets, which themselves are column-trimmed versions of spreadsheets that were downloaded from the public interface to the NID. The focus of the repository is on...

This dataset consists of three tables related to abundance and distribution of northern sea otters (Enhydra lutris kenyoni) in lower Cook Inlet, Alaska, based on data collected during a series of population-wide aerial surveys in May 2017. The dataset consists of: (1) sea otter counts along strip transects, (2) sea otter counts in Intensive Search Unit (ISU) within the transects, and (3)...

These data are part of the Gulf Watch Alaska (GWA) long-term monitoring program. This dataset consist of observations of sea otter (Enhydra lutris) fecal samples (spraint). Observers examined fresh spraint piles to identify major prey classes in the samples and to determine sea otter diets in the Gulf of Alaska region.

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for developing approaches that balance the needs of humans and native species. Given the magnitude of the threat posed by sea-level rise, and the urgency to better understand it, there is an increasing need to forecast sea-level rise effects on barrier islands. To address...

This product depicts the spatial coverage of seagrass beds from 0.5-m color-infrared orthoimagery for Cat Island and Ship Island, Mississippi from early fall of 2011. Specifically, the map includes presence and absence of seagrass beds within a potential seagrass extent that was based on topobathymetric data. A minimum mapping unit of 4 square meters was used for this mapping effort.

This product depicts the spatial coverage of seagrass beds from 0.5-m color-infrared orthoimagery for Cat Island and Ship Island, Mississippi from early fall of 2014. Specifically, the map includes presence and absence of seagrass beds within a potential seagrass extent that was based on topobathymetric data. A minimum mapping unit of 4 square meters was used for this mapping effort.

The U.S. Geological Survey, in cooperation with the City of South Padre Island, Texas, collected baseline seagrass, benthic invertebrate, and water-quality data for a near-shore area of the Laguna Madre near South Padre Island in July 2021. Sample and data collection points were located within a grid consisting of eight transects and three sampling points on each transect. The data...

In the Atlantic Ocean and above the Miami Terrace off southeastern Florida, a total of nine CTD (conductivity, temperature, and depth) casts were performed using the 115-foot Research Vessel (R/V) Weatherbird II above the submerged Miami Terrace at the Miami pockmark and Key Biscayne pockmark from May 4 to May 8, 2016. A CTD is a package of electronic instruments and sampling devices...

Two empirical simple linear regression models were developed from SedCam imagery and concurrent physical sediment samples over a 20-month period at the East Branch Brandywine Creek gage (USGS 01480870). The image files included here are a subset, used in the calibration dataset for these regression models. Models relate the explanatory variable, Rmax (maximum digital number of the red...