Data

The dataset contains spectral indices values calculated from Landsat imagery, normalized difference vegetation index (NDVI) and delta normalized burn ratio (NBR, deltaNBR). The spectral indices were computed for 1472 forested sites in the Glacier National Park, Montana, over the 1984-2021 period, in areas that were burned or not burned during the Robert Fire of 2003.

These are scanned recordings from the Rangely earthquake control experiment that took place from 1969-1974 in the area surrounding Rangely, Colorado. Data were telemetered to Menlo Park, California, where they were recorded on develocorder films. Twelve stations with a total of fourteen channels were recorded and are available in this data set. Data were collected by the US Geological...

Many non-native invasive grass species increase wildfire activity and recover more quickly than native species. This invasive grass-fire cycle has severe negative consequences for ecosystems, creating a need to understand how different invasive grass species alter fuel characteristics and fire behavior, as well as effective treatments to reduce their spread. We reviewed and compiled...

These data were compiled for a literature review exploring science that informs plant material sourcing and selection in the interior central and western United States. Objectives of our study were to compile and summarize scientific literature that informs plant material selection to synthesize the state of knowledge relevant to decision-making. These data represent scientific studies...

This data release provides R scripts for estimating future stream water quality using Weighted Discharge on Time Discharge and Season for Projection (WRTDS-P). The technique is tested against hold-out data and is applied to four drought scenarios in the Delaware River Basin (DRB). The scripts retrieve WRTDS models from an existing data release for 39 sites in the DRB with observations...

The data consist of counts of sea otters in each year from 1980 to 2017 that are within 2 kilometers of the location of the 6 original subtidal ecosystem monitoring sites around San Nicolas Island, California. Beginning with the reintroduction of sea otter to the waters of San Nicolas Island in 1987, three to four surveys have been conducted at the island each year. Shore-based observers...

This dataset, collected and prepared by the U.S. Geological Survey St. Petersburg Coastal and Marine Science Center (USGS - SPCMSC), includes sea turtle nesting decision point locations and cross-shore beach profiles at those locations. The data were collected by a person walking with a survey backpack equipped with a Global Positioning System (GPS) receiver and GPS antenna. The surveys...

The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify bathymetric changes at Looe Key Reef, Florida (FL) within a 26.59 square kilometer-area over the reef proper, and surrounding areas. USGS staff used light detection and ranging (lidar) data acquired by the National Oceanic and Atmospheric Administration (NOAA) in 2018 and...

This product depicts the spatial coverage of seagrass beds from 0.5-m color-infrared orthoimagery for Cat Island, Mississippi from early fall of 2023. 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. We did not have...

This product depicts the spatial coverage of seagrass beds from 0.5-m color-infrared orthoimagery for Ship Island, Mississippi from early fall of 2021. 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. First release: May...

These data were compiled for the creation of a continuous, high-resolution transboundary land cover map of the Sonoran and Mojave Desert ecoregion within Bird Conservation Region 33 (BCR 33). Objective(s) of our study were to, 1) develop a machine learning algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2021, over the...

This data release contains input data tables and results from analysis to predict seasonal high streamflow generation regions of the conterminous United States. Input data consists of landscape characteristics, climate variables, and streamflow metrics at selected USGS streamflow gages as well as the same landscape characteristics and climate variables at ungaged locations. Results from...