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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. Polygons delineate generalized areas in and around Great Basin National Park where surface-water resources likely or potentially are susceptible to groundwater withdrawals in adjacent valleys.
In response to the Nisqually earthquake of 2001, DGER was awarded a grant by the Federal Emergency Management Agency and Washington Emergency Management Division to develop two types of earthquake hazard maps for every county in the state—liquefaction susceptibility maps, which outline areas where water-saturated sandy soil loses strength during earthquake shaking, and NEHRP (National Earthquake Hazards Reduction Program) site class maps, which outline areas where soils amplify ground shaking. The maps will be used by state and local governments to update existing hazard mitigation plans and to delineate geologically hazardous areas under the Growth Management Act. In response to the Nisqually earthquake of...
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk assessment, conducted within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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The acquisition of forest parameters by host species distributions is a significant factor in the identification of areas at risk of mortality to a particular agent. The most readily-available forest type maps do not contain enough location-specific information for insect and disease risk assessments, in particular species' age and stocking. Estimates for total and individual species' basal area (BA), quadratic mean diameter (QMD), stand density index (SDI), percent host composition, and predominant canopy position were developed for all 57 tree species and species groups modeled for the National Insect and Disease Risk Map. After extensively testing various interpolation methods, the Risk Map Integration Team...
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk map assessment, utilized within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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Compilation of rotary sonic drill cores with magnetic susceptibility measurements collected by Minnesota Geological Survey Quaternary geologists. The full dataset is available upon request and includes 1) magnetic susceptibility profiles for each rotary sonic core, 2) named unit averages and standard deviations for each county, and 3) named unit averages and standard deviations for all data.
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...
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The acquisition of host species distributions is a significant factor in the identification of areas at risk of mortality to a particular agent. The most readily-available forest type maps do not contain enough location-specific information for insect and disease risk assessments, in particular species' age and stocking. Estimates for total and individual species' basal area (BA), quadratic mean diameter (QMD), stand density index (SDI), percent host composition, and predominant canopy position were developed for all 57 tree species and species groups modeled for the National Insect and Disease Risk Map. After extensively testing various interpolation methods, the Risk Map Integration Team (RMIT) utilized a...
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Two maps (PCT_BALOSS_AK - the ArcInfo Grid referenced to this metadata - and PCT_BALOSS - see accompanying CONUS Grid and its associated metadata) represent, in map form, the comprehensive version of the final results of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, their pixel values range from 0 to 100 percent, representing the predicted percent of basal area loss over the next 15 years due to insects and diseases.
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...
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Two maps (this grid, CONUS_BALOSSI and AK_BALOSSI - see accompanying Grid and its associated metadata) represent, in map form, the total potential BA loss resulting from the application of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, it is the compilation of all BA losses resulting from running all 188 models of agent/host interactions which result in mortality.
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The 2006 National Insect and Disease Risk Map (NIDRM) Project integrates 188 individual risk models constructed within a common, consistent framework that accounts for regional variations in current and future forest health. The 2006 risk assessment, conducted within the contiguous United States and Alaska, provides a consistent, repeatable, transparent process through which interactive spatial and temporal risk assessments can be conducted at various scales to aid in the allocation of resources for forest health management. This modeling process is intended to increase the utilization of forest health risk maps within and outside the National Forest System and encourage development of future risk maps. NIDRM...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and (or) desethyl-atrazine (atrazine/DEA)...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and (or) desethyl-atrazine (atrazine/DEA)...
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This map is derived from pct_baloss, the comprehensive version of the final results of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, its pixel values range from 0 to 100 percent, representing the predicted percent of basal area loss over the next 15 years due to insects and diseases.
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This vector data set delineates the approximate boundary of the Eagle River watershed valley-fill aquifer (ERWVFA). This data set was developed by a cooperative project between the U.S. Geological Survey, Eagle County, the Eagle River Water and Sanitation District, the Town of Eagle, the Town of Gypsum, and the Upper Eagle Regional Water Authority. This project was designed to evaluate potential land-development effects on groundwater...
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This raster data set delineates the predicted probability of elevated nitrate concentrations in groundwater in the Eagle River watershed valley-fill aquifer, Eagle County, North-Central Colorado, 2006-2007. This data set was developed by a cooperative project between the U.S. Geological Survey, Eagle County, the Eagle River Water and Sanitation District, the Town of Eagle, the Town of Gypsum, and the Upper Eagle Regional Water Authority....
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These data were released prior to the October 1, 2016 effective date for the USGS’s policy dictating the review, approval, and release of scientific data as referenced in USGS Survey Manual Chapter 502.8 Fundamental Science Practices: Review and Approval of Scientific Data for Release. This dataset is one of eight datasets produced by this study. Four of the datasets predict the probability of detecting atrazine and(or) desethyl-atrazine (a breakdown product of atrazine) in ground water in Colorado; the other four predict the probability of detecting elevated concentrations of nitrate in ground water in Colorado. The four datasets that predict the probability of atrazine and(or) desethyl-atrazine (atrazine/DEA)...
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Two maps (PCT_BALOSS - the ArcInfo Grid referenced to this metadata - and PCT_BALOSS_AK - see accompanying Grid and its associated metadata) represent, in map form, the comprehensive version of the final results of the 2006 National Insect and Disease Risk Map (NIDRM) Project. Specifically, their pixel values range from 0 to 100 percent, representing the predicted percent of basal area loss over the next 15 years due to insects and diseases.


map background search result map search result map Liquefaction Susceptibility and Site Class Maps of Washington State, by County Modeled western pine beetle basal area loss - 2006 Estimated total quadratic mean diameter (QMD) - 2006 Estimated total basal area (BA) - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases for Alaska - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases - 2006 Modeled mountain pine beetle basal area loss - 2006 Modeled fir engraver beetle basal area loss - 2006 Total modeled basal area loss due to insect and disease risk - 2006 Insect and Disease Risk, Contiguous US Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions included and atrazine use estimates not included. Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions and atrazine use estimates included. Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions and atrazine use estimates not included. Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions not included and atrazine use estimates included. Raster dataset showing the probability of elevated concentrations of nitrate in ground water in Colorado, hydrogeomorphic regions and fertilizer use estimates included. Raster dataset showing the probability of elevated concentrations of nitrate in ground water in Colorado, hydrogeomorphic regions and fertilizer use estimates not included. Boundary of the Eagle River Watershed Valley-Fill Aquifer, Eagle County, North-Central Colorado, 2006-2007 Probability of Elevated Nitrate Concentrations in Groundwater in the Eagle River Watershed Valley-Fill Aquifer, Eagle County, North-Central Colorado, 2006-2007 Digitized generalized areas where surface-water resources likely or potentially are susceptible to groundwater withdrawals in adjacent valleys, Great Basin National Park area, Nevada Collection of Magnetic Susceptibility Measurements from Minnesota Digitized generalized areas where surface-water resources likely or potentially are susceptible to groundwater withdrawals in adjacent valleys, Great Basin National Park area, Nevada Liquefaction Susceptibility and Site Class Maps of Washington State, by County Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions included and atrazine use estimates not included. Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions and atrazine use estimates included. Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions and atrazine use estimates not included. Raster dataset showing the probability of detecting atrazine/desethyl-atrazine in ground water in Colorado, hydrogeomorphic regions not included and atrazine use estimates included. Raster dataset showing the probability of elevated concentrations of nitrate in ground water in Colorado, hydrogeomorphic regions and fertilizer use estimates included. Raster dataset showing the probability of elevated concentrations of nitrate in ground water in Colorado, hydrogeomorphic regions and fertilizer use estimates not included. Collection of Magnetic Susceptibility Measurements from Minnesota Modeled western pine beetle basal area loss - 2006 Estimated total quadratic mean diameter (QMD) - 2006 Modeled mountain pine beetle basal area loss - 2006 Modeled fir engraver beetle basal area loss - 2006 Total modeled basal area loss due to insect and disease risk - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases - 2006 Insect and Disease Risk, Contiguous US Estimated total basal area (BA) - 2006 Modeled percent of basal area loss over the next 15 years due to insects and diseases for Alaska - 2006