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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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This dataset portrays 28 forest type groups across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data. The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis and Forest Health Monitoring programs and the USFS Remote Sensing Applications Center.
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Brackish groundwater (BGW), defined for this assessment as having a dissolved-solids concentration between 1,000 and 10,000 milligrams per liter is an unconventional source of water that may offer a partial solution to current (2016) and future water challenges. In support of the National Water Census, the U.S. Geological Survey has completed a BGW assessment to gain a better understanding of the occurrence and character of BGW resources of the United States as an alternative source of water. Analyses completed as part of this assessment relied on previously collected data from multiple sources, and no new data were collected. One of the most important contributions of this assessment was the creation of a database...
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This dataset portrays 28 forest type groups across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data. The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis and Forest Health Monitoring programs and the USFS Remote Sensing Applications Center.
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Brackish groundwater (BGW), defined for this assessment as having a dissolved-solids concentration between 1,000 and 10,000 milligrams per liter is an unconventional source of water that may offer a partial solution to current (2016) and future water challenges. In support of the National Water Census, the U.S. Geological Survey has completed a BGW assessment to gain a better understanding of the occurrence and character of BGW resources of the United States as an alternative source of water. Analyses completed as part of this assessment relied on previously collected data from multiple sources, and no new data were collected. One of the most important contributions of this assessment is the creation of a database...
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Climate change information simulated by global climate models is downscaled using statistical methods to translate spatially course regional projections to finer resolutions needed by researchers and managers to assess local climate impacts. Several statistical downscaling methods have been developed over the past fifteen years, resulting in multiple datasets derived by different methods. We apply a simple monthly water-balance model (MWBM) to demonstrate how the differences among these datasets result in disparate projections of snow loss and future changes in runoff. We apply the MWBM to six statistically downscaled datasets for 14 general circulation models (GCMs) from the Climate Model Intercomparison Program...
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This dataset portrays 28 forest type groups across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data. The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis and Forest Health Monitoring programs and the USFS Remote Sensing Applications Center.
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This dataset portrays 28 forest type groups across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data. The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis and Forest Health Monitoring programs and the USFS Remote Sensing Applications Center.
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Monthly and annual average solar resource potential for Wyoming. This dataset has been clipped and reprojected by WyGISC from the original National Dataset. For the Original data, visit the NREL website and download the data directly.
These data were generated for a cooperative project created by an agreement between the Federal Lands and Highways, Central Federal Lands Division (FLH-CFL) and the USGS Fort Collins Science Center (Colorado; https://www.fort.usgs.gov/) to facilitate development of spatially explicit natural resources and socioeconomic information for utilization during comprehensive transportation planning efforts. Federal Lands Highways (FLH) is the federal agency that helps guide and support transportation planning at national, regional, and state levels, including providing funding, information, and tools to state transportation planners. FLH is currently undertaking a series of pilot studies aimed at improving the availability,...
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A raster dataset representing slope in the conterminous United States. This dataset was created from the radian slope raster of 100-meter spatial resolution developed by Ramcharan et al. (2018). Those data were derived from a conterminous 100-m Digital Elevation Model (DEM) for the United States (http://nationalmap.gov/) using SAGA GIS software. Slope values are put into 9 slope classes to facilitate interpretation and reporting. Ramcharan, A., Hengl, T., Nauman, T., Brungard, C., Waltman, S., Wills, S., and Thompson, J., 2018, Soil Property and Class Maps of the Conterminous United States at 100-Meter Spatial Resolution: Soil Science Society of America Journal, v. 82, p. 186-201. http://dx.doi.org/10.2136/sssaj2017.04.0122.
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This dataset includes quantification tools being used or developed for habitat and biodiversity markets in the United States. These tools are designed to estimate the ecological quality or functionality of a site for conservation mechanisms such as payment for ecosystem services programs, eco-label certification programs, habitat exchanges, and conservation banking. The dataset consists of 69 tools which are described using 33 criteria that provide information on the general, technical, and ecological/geographic attributes of each tool.
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Monthly and annual average solar resource potential forWyoming. This dataset has been clipped and reprojected by WyGISC from the original National Dataset. For the Original data, visit the NREL website and download the data directly.
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A raster dataset representing the electric conductivity (EC) of surface soil horizons (top 15 cm or ~6 inches) in the conterminous United States. Increasing soil EC is correlated with increasing soil salt content which is referred to as soil salinity. High levels of soil salinity can only be tolerated by salt-tolerant plants, can interfere with the growth of non-salt tolerant plants, and make reclamation or restoration challenging. This dataset was created using the soil electric conductivity 100-meter spatial resolution predictive rasters for 0, 5, and 15 cm depths developed by Ramcharan (et al. 2018). The average soil EC over the top 15 cm in dS/m was calculated using the trapezoidal rule, and then put into 7...
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A raster dataset representing wind speed in km per hour at 100-meter height for the Conterminous United States, averaged from 2007 to 2013 using the Weather Research and Forecasting Model run on a 2-km grid over the continental United States at a 5-min resolution. Data from Draxl et al. (2015), and then put into 8 quantile bins for interpretation and reporting. For more information and further data, please visit https://maps.nrel.gov/. Draxl, C., Clifton, A., Hodge, B.-M., and McCaa, J., 2015, The Wind Integration National Dataset (WIND) Toolkit: Applied Energy, v. 151, p. 355-366. https://doi.org/10.1016/j.apenergy.2015.03.121.
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A raster dataset representing the clay content of surface soil horizons (top 15 cm or ~6 inches) in the conterminous United States. Soil texture, which is described by the proportion of sand, silt, and clay in the non-rock portion of the soil (soil particles < 2mm), is an important determinate of plant suitability, water movement into the soil, erosion vulnerability, and many other things. Clays are the finest soil particle size class and includes soil particles less than 0.002 mm in diameter. This dataset was created using the percent clay 100-meter spatial resolution predictive rasters for 0, 5, and 15 cm depths developed by Ramcharan et al. (2018). The average percent clay over the top 15 cm was calculated using...
This metadata record describes two metrics that quantitatively measure the impact of reservoir storage on every flowline in the NHDPlus version 2 data suite (NHDPlusV2) for the conterminous United States. These metrics are computed for every 10 years from 1800 - 2015. The first metric (DamIndex_EROM.zip) estimates reservoir storage intensity in units of days based on reservoir storage in a contributing area normalized by the mean annual streamflow. This metric indicates the duration of storage impact upstream from each stream segment relative to the typical flow condition. In addition, this metric provides an assessment of the potential influence of a dam on average and low flows because the metric estimates the...
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This dataset portrays 28 forest type groups across the contiguous United States. These data were derived from MODIS composite images from the 2002 and 2003 growing seasons in combination with nearly 100 other geospatial data layers, including elevation, slope, aspect, ecoregions, and PRISM climate data. The dataset was developed as a collaborative effort between the USFS Forest Inventory and Analysis and Forest Health Monitoring programs and the USFS Remote Sensing Applications Center.
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These data were generated for a cooperative project created by an agreement between the Federal Lands and Highways, Central Federal Lands Division (FLH-CFL) and the USGS Fort Collins Science Center (Colorado; https://www.fort.usgs.gov/) to facilitate development of spatially explicit natural resources and socioeconomic information for utilization during comprehensive transportation planning efforts. Federal Lands Highways (FLH) is the federal agency that helps guide and support transportation planning at national, regional, and state levels, including providing funding, information, and tools to state transportation planners. FLH is currently undertaking a series of pilot studies aimed at improving the availability,...
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These data were generated for a cooperative project created by an agreement between the Federal Lands and Highways, Central Federal Lands Division (FLH-CFL) and the USGS Fort Collins Science Center (Colorado; https://www.fort.usgs.gov/) to facilitate development of spatially explicit natural resources and socioeconomic information for utilization during comprehensive transportation planning efforts. Federal Lands Highways (FLH) is the federal agency that helps guide and support transportation planning at national, regional, and state levels, including providing funding, information, and tools to state transportation planners. FLH is currently undertaking a series of pilot studies aimed at improving the availability,...


map background search result map search result map Solar Resource Potential for Wyoming Solar Resource Potential (Clear Sky Direct Normal - DNI) for Wyoming US Forest Service - Forest Type Groups (Western US) US Forest Service - Forest Type Groups (Southeast US) US Forest Service - Forest Type Groups (Northeast US) US Forest Service - Forest Type Groups (Central US) US Forest Service - Forest Type Groups (Mountain US) Dissolved-Solids Dataset Major-Ions Dataset Database of Biodiversity and Habitat Quantification Tools Used for Market-based Conservation in the United States Cultural Resources Terrain Metrics Data Release for The dependence of hydroclimate projections in snow-dominated regions of the western U.S. on the choice of statistically downscaled climate data Dam impact/disturbance metrics, 1800 to 2018 Slope Classes for the Conterminous US SoilGRIDs Soil Organic Carbon, 0-15 cm average, for the Conterminous US SoilGRIDs Soil Electric Conductivity, 0-15 cm average, for the Conterminous US SoilGRIDs Percent Clay, 0-15 cm average, for the Conterminous US Wind Speed at 100 meters, for the Conterminous US Solar Resource Potential for Wyoming Solar Resource Potential (Clear Sky Direct Normal - DNI) for Wyoming US Forest Service - Forest Type Groups (Western US) US Forest Service - Forest Type Groups (Northeast US) US Forest Service - Forest Type Groups (Mountain US) US Forest Service - Forest Type Groups (Southeast US) US Forest Service - Forest Type Groups (Central US) Database of Biodiversity and Habitat Quantification Tools Used for Market-based Conservation in the United States Terrain Metrics Cultural Resources Wind Speed at 100 meters, for the Conterminous US Data Release for The dependence of hydroclimate projections in snow-dominated regions of the western U.S. on the choice of statistically downscaled climate data Dam impact/disturbance metrics, 1800 to 2018 Slope Classes for the Conterminous US SoilGRIDs Soil Organic Carbon, 0-15 cm average, for the Conterminous US SoilGRIDs Soil Electric Conductivity, 0-15 cm average, for the Conterminous US SoilGRIDs Percent Clay, 0-15 cm average, for the Conterminous US Major-Ions Dataset Dissolved-Solids Dataset