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Enhanced Terrain Imagery of the Buena Vista 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Buena Vista 30 x 60 minute quadrangle in Virginia and West Virginia. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2017 and 2021. The data were processed using geograph

Enhanced Terrain Imagery of the Front Royal 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution

This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Front Royal 30 x 60 minute quadrangle in West Virginia and Virginia. The source data used to construct this imagery consists of 1-meter lidar-derived digital elevation models (DEMs) and lidar point cloud (LPC). The lidar source data were compiled from different acquisitions published between 2014 and 2021. The data w

High resolution natural color imagery collected by uncrewed aircraft system (UAS) for mapping channel and vegetation change along a 2-mile reach of the Middle Green River at Grays Canyon near Green River, Utah from 2021-2023

The U.S. Geological Survey collected low-altitude airborne natural color imagery via a fixed-wing uncrewed aircraft system (UAS) for mapping channel and vegetation change along a 2-mile reach of the Middle Green River at Grays Canyon near Green River, UT. Visual imagery was collected in jpg format and Structure-from-Motion (SfM) photogrammetry techniques were applied (Over et. al. 2021) using Agis

Nitrogen flux estimates in support of Chesapeake Bay Hypoxia and Anoxia forecasts, 1985-2023

Data release includes the U.S. Geological Survey (USGS) estimate of spring nitrogen fluxes summed from nine tributaries to the Chesapeake Bay from 1985 to 2023. Data are presented as the sum from tributaries within the USGS River Input Monitoring (RIM) network identified by site numbers: 01491000, 01578310, 01594440, 01646580, 01668000, 01673000, 01674500, 02035000, 02041650. Periods of estimation

Nitrogen flux estimates in support of Chesapeake Bay Hypoxia and Anoxia forecasts, 1985-2024

Data release includes the U.S. Geological Survey (USGS) estimate of spring nitrogen fluxes summed from nine tributaries to the Chesapeake Bay from 1985 to 2024. Data are presented as the sum from tributaries within the USGS River Input Monitoring (RIM) network identified by site numbers: 01491000, 01578310, 01594440, 01646580, 01668000, 01673000, 01674500, 02035000, 02041650. Periods of estimation

Oriental Bittersweet Microbial Communities Across a Post Glacial Successional Gradient at Indiana Dunes National Park, 2017

This data release contains soil and vegetation data collected along a post glacial chronosequence associated with populations of oriental bittersweet (Celastrus orbiculatus) at the Indiana Dunes National Park. The post glacial chronosequence includes sand dunes and moraines, representing a successional gradient from woodland transition, to oak savanna, woodland and forest, to oak hickory forests o

Maps of water depth derived from satellite images of selected reaches of the American, Colorado, and Potomac Rivers acquired in 2020 and 2021 (ver. 2.0, September 2024)

Information on water depth in river channels is important for a number of applications in water resource management but can be difficult to obtain via conventional field methods, particularly over large spatial extents and with the kind of frequency and regularity required to support monitoring programs. Remote sensing methods could provide a viable alternative means of mapping river bathymetry (i

Climate-Growth Analysis for Updated and Existing Tree-ring Network near Columbine Lake, Grand County, Colorado

This data release is tree-ring data near Columbine Lake and surrounding region, Grand County, Colorado (Latitude 40.27˚ N, Longitude -105.83˚ E NAD83). Re-collection of four existing tree-ring sites (Hot Sulphur Springs Psuedotsuga menziessii (HSU), Lexan Creek Picea engelmannii (LCU), Monarch Lake Pinus ponderosa (MLU), and Vasquez Mountain Psuedotsuga menziessii (VMU)) was conducted to update da

Insular mole skinks: Area of habitat still above water given projected sea level rise and proportion of habitat at risk of storm surge in the Florida Keys, Cedar Keys, and Egmont Key, Florida

The primary habitats for insular mole skinks in Florida are sand beaches, beach berms, and dunes, making them particularly vulnerable to sea level rise (SLR) and storm surge. We used the most recent SLR projections, high resolution lidar-based digital elevation models, a combination of a comprehensive land cover and hand-digitized aerial imagery, and the latest storm surge simulations to predict t

Observed occurrence of Eastern red-spotted newts (Notophthalmus viridescens) in the Northeastern United States

This dataset includes surveys for the Eastern red-spotted newt (Notophrhalamus viridescens viridescen). The survey data includes 264 survey sites, landscape level covariates including human interference index, and landcover type, and survey level covariates including survey date and detection method.

Dissolved noble gas data and helium mass balance models for the Colorado and Virgin Rivers

Dissolved noble gas data were collected using a portable mass spectrometer mounted on inflatable rafts on the Colorado River near Glenwood Springs, Colorado and the Virgin River near La Verkin, Utah. Data were collected approximately every 3 to 10 minutes for a suite of noble gases including helium (He), neon (Ne), argon (Ar), krypton (Kr), and xenon (Xe). Patterns in observed dissolved He concent

Maps of habitat suitability improvement potential for the Gunnison Sage-grouse (Centrocercus minimus) satellite populations in Southwestern Colorado

Habitat restoration efforts to conserve wildlife species are often conducted along a range of local site conditions, with limited information available to gauge relative outcomes for habitat suitability among sites and identify those that may lead to the greatest returns on restoration investment. We leveraged existing resource selection function models to generate heatmaps of spatially varying ha
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