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Predicted Physical Habitat Metrics for the Chesapeake Bay watershed at the 1:100k scale, 2001-2019 Predicted Physical Habitat Metrics for the Chesapeake Bay watershed at the 1:100k scale, 2001-2019

Degraded physical habitat is a common stressor affecting river ecosystems and a primary focus of management activities, including stream restorations. In order to assess regional conditions and help prioritize management efforts, there is an ongoing need to provide estimates of different aspects of instream physical habitat conditions at spatially continuous scales. We utilized over 16...

Predicted recreation economics under different management scenarios for Lake Powell releases Predicted recreation economics under different management scenarios for Lake Powell releases

These data were compiled to predict economic impacts to angling in Glen Canyon and whitewater rafting in Grand Canyon. The objective of our study was to estimate recreation impacts, or changes in consumer surplus, under different future Interim Guidelines sEIS and LTEMP sEIS alternatives. These data include monthly impacts in nominal 2022 dollars. These data were created for operations...

Predicting sediment responses to different management scenarios for Lake Powell releases Predicting sediment responses to different management scenarios for Lake Powell releases

These data were compiled for/to modeling to assess impact of management scenarios on Colorado River sediment resources. Objective(s) of our study were to assess impact of management scenarios on Colorado River sediment resources. These data represent model results for high flow experiment timing/duration, sand mass balance, sandbar volume, based on the data in the Interim Guidelines SEIS...

Predicting wildlife distribution patterns in New England USA with expert elicitation techniques Predicting wildlife distribution patterns in New England USA with expert elicitation techniques

Understanding the impacts of landscape change on species distributions can help inform decision-making and conservation planning. Unfortunately, empirical data that span large spatial extents across multiple taxa are limited. In this study, we used expert elicitation techniques to develop species distribution models (SDMs) for harvested wildlife species (n = 10) in the New England region...

Predictions for the presence of submersed aquatic vegetation in the upper Mississippi River, USA, from years 2010-2019 Predictions for the presence of submersed aquatic vegetation in the upper Mississippi River, USA, from years 2010-2019

The datasets are to accompany a manuscript describing the prediction of submersed aquatic vegetation presence and its potential vulnerability and recovery potential. The data and accompanying analysis scripts allow users to run the final random forests predictive model and reproduce the figures reported in the manuscript. Files from several data sources (aqa_2010_lvl3_pct_oute_joined_VEG...

Predictions of PFAS in groundwater used as a source of drinking water and related data in the conterminous United States Predictions of PFAS in groundwater used as a source of drinking water and related data in the conterminous United States

An extreme gradient boosting ensemble tree model predicting per- and polyfluoroalkyl substances (PFAS) occurrence in groundwater at the depths typical of the bottom of public and domestic drinking water supplies across the conterminous United States was developed. PFAS data used to train the model were collected between 2019 and 2022 by the U.S. Geological Survey National Water Quality...

Predictions of specific conductance and departures from background specific conductance in the Chesapeake Bay watershed, 2001-2016 Predictions of specific conductance and departures from background specific conductance in the Chesapeake Bay watershed, 2001-2016

Freshwater salinization is an emerging water quality issue for non-tidal streams and rivers in the Chesapeake Bay watershed (CBW), USA region. A model was developed to predict specific conductance (SC; a proxy for salinity) conditions across the CBW and departures from background SC. Discrete observations of SC from 1999-2016 were acquired from a published SC data inventory and...

Prefabricated Zero Ascend Omnispecies (ZAO) Modular Fish Passage Modules Using Advanced Manufacturing Techniques Prefabricated Zero Ascend Omnispecies (ZAO) Modular Fish Passage Modules Using Advanced Manufacturing Techniques

In this dataset, there are eight text files that provide the raw fish behavior telemetry data and an excel sheet that provides the processed velocity data.

Preliminary digital data for a 3-layer geologic model of the conterminous United States using land surface, top of bedrock, and top of basement (ver. 1.1, April 2025) Preliminary digital data for a 3-layer geologic model of the conterminous United States using land surface, top of bedrock, and top of basement (ver. 1.1, April 2025)

This digital dataset compiles a 3-layer geologic model of the conterminous United States by mapping the altitude of three surfaces: land surface, top of bedrock, and top of basement. These surfaces are mapped through the compilation and synthesis of published stratigraphic horizons from numerous topical studies. The mapped surfaces create a 3-layer geologic model with three geomaterials...

Presence and cover data for 36 plant species and associated environmental data from the Colorado River downstream of Glen Canyon Dam from 2016 to 2020 Presence and cover data for 36 plant species and associated environmental data from the Colorado River downstream of Glen Canyon Dam from 2016 to 2020

These data were collected to evaluate the cover and composition of native and nonnative vascular plant species within the riparian zone of the Colorado River from Glen Canyon Dam to the historic high-water line of Lake Mead, approximately 240 river miles downstream of Lees Ferry. The overall objective of the ongoing study these data were collected for is to determine how plant cover and

Preserving Tree-Ring Datasets for Climate and Hazard Research and Understanding Societal Impacts: Carrara Career Samples Preserving Tree-Ring Datasets for Climate and Hazard Research and Understanding Societal Impacts: Carrara Career Samples

Dendrochronological collections during the career of USGS emeritus, Paul Carrara: Douglas-fir (Pseudotsuga menziesii), Black cottonwood (Populus trichocarpa), Spruce (Picea), Shore pine (Pinus contorta contorta), Willow (Salix), Bristlecone pine (Pinus aristate), Engelmann spruce (Picea engelmannii), Aspen (Populus tremuloides), and Limber pine (Pinus flexilis) collections from western...

Preserving Tree-Ring Datasets for Climate and Hazard Research and Understanding Societal Impacts: Colorado Fire, Climate, Humans Preserving Tree-Ring Datasets for Climate and Hazard Research and Understanding Societal Impacts: Colorado Fire, Climate, Humans

Culebra Range of the Sangre de Cristo Mountains, Colorado. Sample Collection: Ponderosa pine (Pinus ponderosa), Douglas-fir (Pseudotsuga menziesii), Bristlecone pine (Pinus aristate), and Limber pine (Pinus flexilis) living in lower and upper montane slopes of the Culebra Range (~Latitude 37˚N, ~Longitude -105˚W WGS84). The Fire-Climate-Human NGGDPP archive collection was obtained in two...
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