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A raster dataset representing multi-year mean (1998-2018) capacity factors (CF) for a solar photovoltaic system based on current technology, for the Conterminous United States. These data are calculated using ½ hourly irradiance values from the National Solar Radiation Database (NSRDB) Sengupta et al. (2018), and the Systems Advisor Model (Blair et al. 2014). Cell values represent the estimated capacity factor (a ratio of net generation to the maximum generation) for photovoltaic energy production for a 1-axis tracking system (technology details found in Maclaurin et al. 2019). The continuous raster were put into 8 quantile bins for interpretation and reporting. For more information and further data, please visit...
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A raster dataset representing the soil organic carbon content of surface soil horizons (top 15 cm or ~6 inches) in the conterminous United States. Soil organic carbon is a readily component of soil organic matter, which plays an important role the functioning of soils, including formation of soil structure, soil nutrient content, soil moisture retention, and carbon sequestration. Soil carbon content here is measured as percent by mass. This dataset was created using the soil percent organic carbon 100 m spatial resolution predictive rasters for 0, 5, and 15 cm depths developed by Ramcharan et al. (2018). The average soil organic carbon over the top 15 cm was calculated using the trapezoidal rule, and then put into...
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These data were compiled to demonstrate new predictive mapping approaches and provide comprehensive gridded 30-meter resolution soil property maps for the Colorado River Basin above Hoover Dam. Random forest models related environmental raster layers representing soil forming factors with field samples to render predictive maps that interpolate between sample locations. Maps represented soil pH, texture fractions (sand, silt clay, fine sand, very fine sand), rock, electrical conductivity (ec), gypsum, CaCO3, sodium adsorption ratio (sar), available water capacity (awc), bulk density (dbovendry), erodibility (kwfact), and organic matter (om) at 7 depths (0, 5, 15, 30, 60, 100, and 200 cm) as well as depth to restrictive...
Tags: Arizona,
Colorado,
Colorado River,
Colorado River Basin,
Colorado River Basin above Hoover Dam, All tags...
Hoover Dam,
Nevada,
New Mexico,
Utah,
Wyoming,
accuracy and error estimated,
available water capacity,
bulk density,
calcium carbonate,
digital soil mapping,
electrical conductivity,
environmental conditions,
environmental raster layers,
erodibility,
geoscientificInformation,
gypsum,
interpolate,
machine learning,
maps and atlases,
organic matter,
predicitve modeling,
predictive mapping,
predictive maps,
random forest models,
random forests,
restrictive layer,
rock,
sodium adsorption ratio,
soil conductivity,
soil density,
soil forming factors,
soil pH,
soil properties,
soil property maps,
soil sciences,
soil texture,
soils,
surface rock cover,
surface rock size,
texture fractions,
uncertainty, Fewer tags
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The dataset describes rangeland monitoring results from the Hanksville, UT (USA) area. Monitoring results consist of canopy cover of plant species and functional types according to ecological site group from 1967 to 2013. The study area is bordered on the north by the Wayne-Emery County line, on the west by Capitol Reef National Park, and on the south and east by the Colorado River, Glen Canyon National Recreation Area, and Canyonlands National Park. Cover was estimated every 1 to 5 years (except the last measurement that had a 12 year interval) from 1967 to 2013 at 36 permanently marked sites in 15 livestock grazing allotments/pastures. Canopy cover of perennial plant species was estimated to the nearest tenth...
Types: Citation;
Tags: Climate change,
Colorado Plateau,
Ecological sites,
Garfield County,
Grazing, All tags...
Hanksville,
Land-use change,
Landscape Scale,
Plant Responses,
Precipitation,
Rangeland Monitoring,
San Juan County,
Soils,
State-and-transition models,
USGS Science Data Catalog (SDC),
United States,
Utah,
Vegetation,
Wayne County, Fewer tags
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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...
Categories: Data;
Tags: AIM reference plots,
Arizona and New Mexico Plateau,
Assessment Inventory and Monitoring (AIM),
Botany,
Colorado, All tags...
Colorado Plateau,
Ecology,
Four Corners Region,
Geography,
Information Sciences,
New Mexico,
Soil Sciences,
USGS Science Data Catalog (SDC),
Utah,
atmospheric and climatic processes,
biogeography,
biota,
climate,
climatologyMeteorologyAtmosphere,
data release,
environment,
field inventory and monitoring,
field methods,
field observations,
field sampling,
geoscientificInformation,
land use and land cover,
line point intercept measurement,
percent cover,
plant community recovery,
plants (organisms),
plot sampling,
reclaimed oil and gas well sites,
remediation,
soil cover,
soil resources,
species cover,
time periods,
vegetation, Fewer tags
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