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USGS National Shoreline Change - 2017 lidar-derived mean high water shoreline and associated shoreline change data for coastal North Carolina USGS National Shoreline Change - 2017 lidar-derived mean high water shoreline and associated shoreline change data for coastal North Carolina

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion...

USGS National Shoreline Change - A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina USGS National Shoreline Change - A GIS compilation of new lidar-derived shorelines (2010, 2017, and 2018) and associated shoreline change data for coastal South Carolina

The U.S. Geological Survey (USGS) has compiled national shoreline data for more than 20 years to document coastal change and serve the needs of research, management, and the public. Maintaining a record of historical shoreline positions is an effective method to monitor national shoreline evolution over time, enabling scientists to identify areas most susceptible to erosion or accretion...

USGS National Wildlife Health Center necropsy and contaminant results for bald and golden eagles collected in 8 States from January 1, 2014, through December 31, 2017 to determine cause of illness/death and lead, mercury, and anticoagulant rodenticide exp USGS National Wildlife Health Center necropsy and contaminant results for bald and golden eagles collected in 8 States from January 1, 2014, through December 31, 2017 to determine cause of illness/death and lead, mercury, and anticoagulant rodenticide exp

The U.S. Geological Survey National Wildlife Health Center (NWHC) measured environmental contaminants in bald eagles (Haliaeetus leucocephalus) and golden eagles (Aquila chrysaetos) to evaluate dietary exposure to lead, mercury, and anticoagulant rodenticides (AR), which was identified by U.S. Fish and Wildlife Service (USFWS) as a priority issue of concern for the Mountain Prairie...

USGS National Wildlife Health Center necropsy results to determine cause of illness/death for seabirds collected in Alaska from January 1, 2017 through December 31, 2021 USGS National Wildlife Health Center necropsy results to determine cause of illness/death for seabirds collected in Alaska from January 1, 2017 through December 31, 2021

Summary of Bering and Chukchi Seas seabird necropsies, 2017-2021. More than 14,000 dead seabirds were reported and a total of 117 carcasses were examined. 92 cases had emaciation identified as the Cause Of Death (COD), seven cases where COD was undetermined, and 17 cases where COD was determined as "Other", which included predation, trauma, encephalitis, peritonitis, and bacterial...

USGS State of the Data Project: Rubric and Assessment Data USGS State of the Data Project: Rubric and Assessment Data

The FAIR Principles (Findable, Accessible, Interoperable, and Reusable) provide a concise and measurable strategy for optimizing the reuse of scientific data (Wilkinson et al., 2016). In FY20, the U.S. Geological Survey initiated a research study, titled "State of the Data", to evaluate and report on the current FAIRness of USGS data. Project outputs include the USGS FAIR Rubric, which...

USGS Streamgages in the Conterminous United States Indexed to NHDPlus v2.1 Flowlines to Support Streamgage Watershed InforMation (SWIM), 2021 USGS Streamgages in the Conterminous United States Indexed to NHDPlus v2.1 Flowlines to Support Streamgage Watershed InforMation (SWIM), 2021

This U.S. Geological Survey (USGS) data release includes locations for 12,422 USGS streamgages as indexed along the network of streams (flowlines) in NHDPlus Version 2.1 (NHDPlus v2, Moore and Dewald, 2016). The dataset is one of two datasets developed for the Streamgage Watershed InforMation (SWIM) project. This dataset, which is referred to as “SWIM streamgage locations,” was created...

USGS/Uzbek GOSCOMGEOLOGY/GeoMark potential source rock lab analysis results, 2021-2022 USGS/Uzbek GOSCOMGEOLOGY/GeoMark potential source rock lab analysis results, 2021-2022

This dataset is associated with potential source rock samples collected from Uzbekistan. Borehole core samples, as well as outcrop samples, were collected by Uzbek GOSCOMGeology and the USGS in 2021 and 2022. Samples were sent to GeoMark Source Rock Lab for Leco total organic carbon content and HAWK pyrolysis analysis. Analysis results include percent carbonate (wt%), Leco TOC (wt%), and...

Using seasonal climate scenarios in the ForageAhead annual forage production model for early drought impact assessment Using seasonal climate scenarios in the ForageAhead annual forage production model for early drought impact assessment

High interannual variability of forage production in semi-arid grasslands leads to uncertainties when livestock producers make decisions such as buying additional feed, relocating animals, or using flexible stocking. Within-season predictions of annual forage production (i.e., yearly production) can provide specific boundaries for producers to make these decisions with more information...

VegET v2.0 illustrative products and evaluation VegET v2.0 illustrative products and evaluation

The agro-hydrologic VegET (VegetationEvapotranspiration) model uses a water balance approach to simulate daily soil moisture (SM), actual evapotranspiration (ETa), and runoff (R). We enhanced the model to include snow accumulation and melt processes along with the separation of runoff into surface runoff and deep drainage and implemented the code using cloud technology. This publication...

Vegetation and geomorphic surfaces in the Elwha River delta, Washington, after dam removal, derived from 2016 and 2018 aerial imagery and 2007, 2014, and 2018 field surveys Vegetation and geomorphic surfaces in the Elwha River delta, Washington, after dam removal, derived from 2016 and 2018 aerial imagery and 2007, 2014, and 2018 field surveys

Removal of two large dams from the Elwha River, Washington USA, in 2011-2014 released ~20.5 metric tons (Mt) of impounded sediment, ~5.4 Mt of which was deposited in the river delta and estuary. This dataset presents measurements of geomorphic surfaces, vegetation colonization, and plant community development in the Elwha River delta and estuary after dam removal. Geomorphic surfaces and

Vegetation and soil cover from 134 reclaimed oil and gas well pads and 583 AIM reference plots in the Southwestern United States Vegetation and soil cover from 134 reclaimed oil and gas well pads and 583 AIM reference plots in the Southwestern United States

These data were compiled to assess the recovery of vegetation on reclaimed oil and gas sites. Objective(s) of our study were to assess patterns in reclamation outcomes relative to 1) soil attributes, climate, and time since 39 reclamation and 2) plant and soil reference benchmarks. These data represent observations of vegetation and soil cover from 134 reclaimed oil and gas well pads and...

Vegetation and Water Monitoring Datasets for selected locations in the Republic of the Marshall Islands from 2017-2022 Vegetation and Water Monitoring Datasets for selected locations in the Republic of the Marshall Islands from 2017-2022

The Republic of the Marshall Islands (RMI) is a sovereign Small Island State in the tropical central North Pacific Ocean. RMI is a nation of more than thirty atolls and islands, most of which are inhabited, dispersed across an exclusive economic zone (EEZ) over 2 million square kilometers. This data release contains raster datasets for vegetation and water monitoring including Normalized
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