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These data were compiled to create models that estimate entrainment rates and population growth rates of smallmouth bass below Glen Canyon Dam. Objective(s) of our study were to predict smallmouth bass entrainment rates and population growth under different future scenarios of Lake Powell elevations and management. These data represent parameters needed for associated models and data needed to produce figures. These data were collected from publicly available online sources including published papers and federal government datasets. These data were assembled by researchers from U.S. Geological Survey, Utah State University, Colorado State University, U.S. Fish and Wildlife Service. These data can be used to run...
Categories: Data; Tags: Aquatic Biology, Arizona, Climatology, Colorado River, Diamond Creek, All tags...
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This imagery dataset consists of 3-meter resolution, lidar-derived imagery of the Carlisle 30 x 60 minute quadrangle in Pennsylvania. The source data used to construct this imagery consists of 1-meter resolution lidar-derived digital elevation models (DEMs). The lidar source data were compiled from different acquisitions published between 2019 and 2020 and downloaded from the USGS National Map TNM Download. The data were processed using geographic information systems (GIS) software. The data is projected in WGS 1984 Web Mercator. This representation illustrates the terrain as a hillshade with contrast adjusted to highlight local relief according to a topographic position index (TPI) calculation.
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Coastal management decisions are complex and include challenging tradeoffs. Decision science offers a useful framework to address such complex problems. We illustrate the process with several coastal restoration studies. Our capstone example is based on a recent barrier island restoration assessment project at Dauphin Island, Alabama, which included the development of geomorphological and ecological models that forecast environmental changes over a 10 year time period from 2015 to 2025. The proposed framework aims to serve as a tool to assist coastal managers with the process of restoration. Specifically, we discuss the importance of considering concepts and techniques from ecology, coastal geology, geomorphology,...
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These data were compiled for a networked field-trial restoration experiment (RestoreNet) that spans the southwestern US, including 21 distributed field sites. The objective of our study was to understand the environmental factors and restoration practices (including seed mixes and soil manipulation) that increase plant establishment and survival to ultimate improve restoration outcomes in dryland environments. These data represent point-in-time plant density and height measurements at our field sites at the time of monitoring. These data were collected at 21 arid and semi-arid sites, located throughout Arizona, Utah, New Mexico, and California. These data were collected by USGS Restoration Assessment and Monitoring...
Categories: Data; Tags: Arizona, Botany, California, Chihuahuan Desert, Climatology, All tags...
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This dataset consists of physics-based Delft3D model and Delwaq model input files used in modeling sediment deposition and concentrations around the coral reefs of west Maui, Hawaii. The Delft3D models were used to simulate waves and currents under small (SC1) and large (‘SC2’) wave conditions for current stream discharge (‘Alt1’) and stream discharge with watershed restoration (‘Alt3’). Delft3D model results were subsequently used as forcing conditions for Delwaq models to simulate sediment transport and dispersion. The Delwaq models were used to simulate sediment transport and concentrations under the same two wave and stream discharge scenarios. The Delwaq models were run using forcing conditions generated by...
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Lake Powell retains most of the phosphorus that it receives, leading to downstream phosphorus limitation. These data were compiled to examine controls on phosphorus cycling below Lake Powell in the Colorado River and from storm inputs from the Paria River. Objectives of our study were to determine how several forms of phosphorus, both organic and inorganic, were cycled under varying dissolved oxygen concentrations and pH, reflecting the range of values observed in the river over the years. These data represent nitrogen, phosphorus, calcium, and carbon concentrations, water quality parameters (pH, dissolved oxygen, temperature), sediment composition, total protein, and extracellular enzyme activity (alkaline phosphatase)....
Categories: Data; Tags: Aquatic Biology, Arizona, Colorado River, Ecology, Geochemistry, All tags...
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These data were compiled for/to modeling efforts for U.S. Bureau of Reclamation National Environmental Policy Act (NEPA) analyses for the Colorado River in Grand Canyon, Arizona. Objective(s) of our study were to create revised monthly Lake Powell elevations and outflows from Bureau of Reclamation Colorado River Mid-term Modeling System (CRMMS) traces that incorporate the alternatives in the sEIS documents and indicate when potential actions may occur and how that changes water movement and storage. These data represent monthly hydrologies for Lake Powell: inflow, outflow, and elevation forecasts for 2024-2027, as well as volumes of water in outflows for different water mangement strategies in NEPA supplemental...
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These data were compiled for a study that investigated the effects of drought seasonality and plant community composition in a dryland ecosystem. In 2015 U.S. Geological Survey ecologists recorded vegetation and soil moisture data in 36 experimental plots which manipulated precipitation in two plant community types. The experiment consisted of three precipitation treatments: control (ambient precipitation), cool-season drought (-66% ambient precipitation November-April), and warm-season drought (-66% ambient precipitation May-October), applied in two plant communities (perennial grasses with or without a large shrub, Ephedra viridis) over a three-year period. These data were collected from 2015 to 2022 near Canyonlands...
Categories: Data; Tags: Achnatherum hymenoides, Botany, C3 photosynthesis, C4 photosynthesis, Canyonlands National Park, All tags...
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The data herein are geochemical (from X-Ray fluorescence spectrometry), grain size (percent clay, silt, sand), lithological (loss on ignition data), bathymetric, reconstructed IVT, and radioactive isotopes (14-C, 210-Pb, 226-Ra, and 137-Cs). These data were collected from sediments from Leonard Lake, Mendocino County, California, USA starting in 2014. Together, these data provide evidence for a record of extreme precipitation going back three millennia, showing regional pluvial and drought cycles.
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This data set contains shoreline rate of change statistics for New York State coastal wetlands. Analysis was performed using the Digital Shoreline Analysis System (DSAS), created by U.S. Geological Survey, version 5.0, an extension for ArcMap. A reference baseline was used as the originating point for orthogonal transects cast by the DSAS software. The transects intersect each polyline vector shoreline establishing intersection measurement points, which were then used to calculate the rates of change. End-point rates, calculated by dividing the distance of shoreline movement by the time elapsed between the oldest and the most recent shoreline, were generated for wetlands where fewer than three historic shorelines...
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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 583 AIM reference plots. These data were collected on lands impacted by oil and gas development on the Colorado Plateau as well as Arizona and New Mexico Plateau of New Mexico, Colorado, and Utah. Data was collected from July- September of 2020 and May-September of 2021. These data were collected by Assessment Inventory and Monitoring...
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On the continental scale, climate is an important determinant of the distributions of plant taxa and ecoregions. To quantify and depict the relations between specific climate variables and these distributions, we placed modern climate and plant taxa distribution data on an approximately 25-kilometer (km) equal-area grid with 27,984 points that cover Canada and the continental United States (Thompson and others, 2015). The gridded climatic data include annual and monthly temperature and precipitation, as well as bioclimatic variables (growing degree days, mean temperatures of the coldest and warmest months, and a moisture index) based on 1961-1990 30-year mean values from the University of East Anglia (UK) Climatic...
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These data were compiled to investigate the control of drying on the aeolian transport of river-sourced sand. Objectives of our study were to to examine aeolian sediment transport during a five-day period of low steady river flow on a river sandbar and adjacent aeolian dunefield. These data represent the observed and theoretical threshold fiction velocities for aeolian sediment transport, as well as the grain size, sediment moisture content, surface roughness and other characteristics of the sandbar and sand dune surfaces. These data were collected at a sandbar and aeolian sand dune along the Colorado River approximately 19 km downstream from Glen Canyon Dam at Lees Ferry, Arizona, USA from March 15 to 20, 2021....
Categories: Data; Tags: Arizona, Climatology, Colorado River, Ecology, Geography, All tags...
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U. S. Geological Survey (USGS) scientists completed a stream surveying campaign from the 26th of July to the 13th of August in 2021 at thirty 100m reaches within the Shenandoah Valley throughout Virginia and West Virginia. The goal was to collect three cross sections, water surface elevation at the top and bottom of each reach, and thalweg point data at each study location to use the geomorphological surveys alongside habitat information. Together, these two sources of data can be used to create a habitat assessment of Shenandoah Valley streams. Any use of trade, firm, or product names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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Vegetation and elevation data were collected using a real-time kinematic global positioning system (RTK GPS) in coastal wetlands at the National Park Service’s Timucuan Ecological and Historic Preserve in summer 2021 and winter 2022 (n = 362). For each 0.5-by-0.5 m plot, the following data were collected: 1) percent cover by vegetation species; 2) percent cover by vegetation classes based on height (that is, carpet, herbaceous, and woody); 3) mean height of the dominant species; 4) water depth; 5) marsh class based on dominant vegetation species; and 6) location and elevation (that is, northing, easting, and elevation).
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These data are the primary data used to model rainbow trout growth in Glen Canyon. Fish growth data were collected from nighttime boat electrofishing field campaigns conducted five to six times per year in April, July, September, and January, from April 2012 through November 2021 for a total of 9798 observations of mark-recapture-based growth. Sampling was conducted in a five km reach in the lower portion of the Glen Canyon tailwater (3.7-8.9 km upstream of Lees Ferry, AZ). Two nights of sampling occurred on each trip, with the central 2-3 km of the reach sampled on both nights. After capture, fish were kept in aerated 40-L buckets and transported to a central processing location. Groups of 10-15 fish were anesthetized...
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These data were compiled for the creation of a continuous, transboundary land cover map of Bird Conservation Region 33, Sonoran and Mojave Deserts (BCR 33). Objective(s) of our study were to, 1) develop a machine learning (ML) algorithm trained to classify vegetation land cover using remote sensing spectral data and phenology metrics from 2013-2020, over a large subregion of the Sonoran and Mojave Deserts BCR, 2) Calibrate, validate, and refine the final ML-derived vegetation map using a collection of openly sourced remote sensing and ground-based ancillary data, images, and limited fieldwork, and 3) Harmonize a new transboundary classification system by expanding existing land cover mapping resources from the United...
These tabular data are summaries of land use/land cover related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as land use/land cover related contain all land use and land cover data including datasets that are split off or combined from those data (eg. agriculture or impervious classes only datasets). Outputs consist of tabular comma-separated values files (CSVs) for both the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were...
Categories: Data; Tags: Agriculture, Aquatic Biology, Catchment, Catchments, Chesapeake, All tags...
These tabular data are summaries of climate related variables within catchments of the Chesapeake Bay watershed using the Xstrm methodology at 1:24,000 scale. Variables being counted as climate related include temperature and precipitation by both annual and monthly values. Outputs consist of tabular comma-separated values files (CSVs) for the local catchment and network summaries linked to the National Hydrography Dataset Plus High-Resolution (NHDPlus HR) framework by NHDPlus ID. Local catchments are defined as the single catchment the data is summarized within. Network accumulation summaries were completed for each of the local catchments and their network-connected upstream catchments. The summarized data tables...
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The Louisiana State Legislature created the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in order to conserve, restore, create and enhance Louisiana's coastal wetlands. The wetland restoration plans developed pursuant to these acts specifically require an evaluation of the effectiveness of each coastal wetlands restoration project in achieving long-term solutions to arresting coastal wetlands loss. This data set includes mosaicked aerial photographs for the Hopedale Hydrologic Restoration (PO-24) project for 2021. This data is used as a basemap land-water classification. It also serves as a visual tool for project managers to help them identify any obvious problems or land loss within their...


map background search result map search result map Rate of shoreline change statistics for New York State coastal wetlands RestoreNet subplot data for 21 sites within major dryland ecoregions throughout the southwestern United States, 2018 - 2021 Model parameter input files to compare effects of stream discharge scenarios on sediment deposition and concentrations around coral reefs off west Maui, Hawaii Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 Data from: Decision science as a framework for combining geomorphological and ecological modeling for the management of coastal systems Shenandoah Valley Stream Survey (2021) Rainbow trout growth data and growth covariate data from Glen Canyon, Colorado River, Arizona, 2012-2021 Threshold friction velocities for aeolian transport of river-sourced sand, with related moisture content, grain size, topographic, and wind data from Lees Ferry, Arizona Phosphorus, nitrogen, carbon, calcium, pH, and dissolved oxygen data from incubations of Colorado River water and sediment and associated ambient river water measurements Vegetation and soil cover from 134 reclaimed oil and gas well pads and 583 AIM reference plots in the Southwestern United States Hopedale Hydrologic Restoration (PO-24): 2021 land-water classification Various Lake Powell data used for predicting smallmouth bass entrainment rates and population growth based on thermal suitability below and downstream of Glen Canyon Dam Enhanced Terrain Imagery of the Carlisle 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Wetland vegetation and elevation survey within the Timucuan Ecological and Historic Preserve, Jacksonville, Florida, 2021–2022 Plant composition, shrub biomass, and soil biogeochemistry from an experimental drought treatment on the Colorado Plateau Modelled Lake Powell releases and reservoir elevations under different alternative management scenarios Geochemical, grain size, lithological, bathymetric, reconstructed integrated vapor transport, and age model data for Leonard Lake, Mendocino County Plant composition, shrub biomass, and soil biogeochemistry from an experimental drought treatment on the Colorado Plateau Threshold friction velocities for aeolian transport of river-sourced sand, with related moisture content, grain size, topographic, and wind data from Lees Ferry, Arizona Hopedale Hydrologic Restoration (PO-24): 2021 land-water classification Rainbow trout growth data and growth covariate data from Glen Canyon, Colorado River, Arizona, 2012-2021 Enhanced Terrain Imagery of the Carlisle 30 x 60 Minute Quadrangle from Lidar-Derived Elevation Models at 3-Meter Resolution Wetland vegetation and elevation survey within the Timucuan Ecological and Historic Preserve, Jacksonville, Florida, 2021–2022 Shenandoah Valley Stream Survey (2021) Geochemical, grain size, lithological, bathymetric, reconstructed integrated vapor transport, and age model data for Leonard Lake, Mendocino County Phosphorus, nitrogen, carbon, calcium, pH, and dissolved oxygen data from incubations of Colorado River water and sediment and associated ambient river water measurements Various Lake Powell data used for predicting smallmouth bass entrainment rates and population growth based on thermal suitability below and downstream of Glen Canyon Dam Modelled Lake Powell releases and reservoir elevations under different alternative management scenarios Rate of shoreline change statistics for New York State coastal wetlands Vegetation and soil cover from 134 reclaimed oil and gas well pads and 583 AIM reference plots in the Southwestern United States Random forest classification data developed from multitemporal Landsat 8 spectral data and phenology metrics for a subregion in Sonoran and Mojave Deserts, April 2013 – December 2020 RestoreNet subplot data for 21 sites within major dryland ecoregions throughout the southwestern United States, 2018 - 2021