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This dataset, termed "GAGES II", an acronym for Geospatial Attributes of Gages for Evaluating Streamflow, version II, provides geospatial data and classifications for 9,322 stream gages maintained by the U.S. Geological Survey (USGS). It is an update to the original GAGES, which was published as a Data Paper on the journal Ecology's website (Falcone and others, 2010b) in 2010. The GAGES II dataset consists of gages which have had either 20+ complete years (not necessarily continuous) of discharge record since 1950, or are currently active, as of water year 2009, and whose watersheds lie within the United States, including Alaska, Hawaii, and Puerto Rico. Reference gages were identified based on indicators that they...
Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Alabama, Alaska, All 50 states, Arizona, Arkansas, All tags...
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This dataset was created to support the Washington D.C. StreamStats project funded by the Washington D.C. Department of Energy and Environment (DOEE). The dataset contains digital elevation model (DEM), flow direction and catchment layers that were conditioned using Washingtons D.C.’s stormwater network layer. The data are hosted online as a component of the USGS StreamStats web application (https://streamstats.usgs.gov), where users can interact with a map of Washington D.C.’s stormwater pipe system and National Hydrography Dataset (NHD) “best resolution” blue lines to delineate drainage basins that account for pipe flow. This project utilized 1-meter (high resolution) terrain products, which improves upon existing...
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This shapefile contains summaries of habitat condition indices (HCI scores) from the National Fish Habitat Action Plan (NFHAP) 2010 National Assessments for 12 digit Hydrological Unit Codes (HUC12s) of the United States. Initial HCI scores were developed in three separate assessments (Conterminous U.S., Hawaii, and Alaska) due to differences in data availability across these regions. In the NFHAP 2010 Alaska assesment HCI values were already attributed to HUC12s. For this reason values for Alaska in this shapefile are identical to those represented in the Alaska assessment. To summarize data into HUC12s for the Conterminous United States and Hawaii a length-weighted average was used (i.e. the cumulative HCI score...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 2010 National Assessment, 2010 National Assessment, Alabama, Alaska, Anthropogenic factors, All tags...
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This shapefile contains summaries of habitat condition indices (HCI scores) from the National Fish Habitat Action Plan (NFHAP) 2010 National Assessments for 8 digit Hydrological Unit Codes (HUC8s) of the United States. Initial HCI scores were developed in three separate assessments (Conterminous U.S., Hawaii, and Alaska) due to differences in data availability across these regions. In the initial NFHAP 2010 Alaska assessment HCI values were attributed to HUC12s. For this reason, to summarize data into HUC8s for Alaska an area-weighted average was used (i.e. the cumulative HCI score assigned to each HUC12 within a HUC8 was weighted by reach area using the formula (H1*A1+H2*A2...+HX*AX)/(A1+A2...+AX) where H = HCI...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: 2010 National Assessment, 2010 National Assessment, Alabama, Alaska, Anthropogenic factors, All tags...
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We identified a set of cores for each species that include areas of high relative value to the species either in the present, the future, or both. We assessed and mapped the connections between each nearby pair of cores (both in the future and present) and used the pairwise connectivities to assemble a graph of connections and to score each core’s connectivity in the present and future. Finally, we created an overall score that combines the landscape capability value, the climate refugia value, and the connectivity of each core which we think is a good starting point for conservation of each species. In general we found that the highest habitat values, connectivity, and scores were concentrated both towards the...
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This data was created to support the Washington D.C. StreamStats project funded by the Washington D.C. Department of Energy and Environment (DOEE). The data release contains high-resolution (1-meter) land cover data layers for Washington D.C. and its tributaries that represent canopy cover, canopy cover with building and road coverage removed (“pervious canopy”), impervious cover, slope (in units of percent rise), and 30-year normal annual precipitation (1991-2020). The data are hosted online as a component of the USGS StreamStats web application (https://streamstats.usgs.gov), where users can interact with a map of Washington D.C.’s stormwater pipe system and delineate drainage basins that account for pipe flow....
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This metadata report documents a shapefile of watershed boundaries for 84 selected United States Geological Survey (USGS) water quality stations that are part of the Chesapeake Bay non-tidal network (NTN).
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We identified a set of cores for each species that include areas of high relative value to the species either in the present, the future, or both. We assessed and mapped the connections between each nearby pair of cores (both in the future and present) and used the pairwise connectivities to assemble a graph of connections and to score each core’s connectivity in the present and future. Finally, we created an overall score that combines the landscape capability value, the climate refugia value, and the connectivity of each core which we think is a good starting point for conservation of each species. In general we found that the highest habitat values, connectivity, and scores were concentrated both towards the...
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Coastal communities are uniquely vulnerable to sea-level rise (SLR) and severe storms such as hurricanes. These events enhance the dispersion and concentration of natural and anthropogenic chemicals and pathogenic microorganisms that could adversely affect the health and resilience of coastal communities and ecosystems in coming years. The U.S. Geological Survey has developed the Sediment-Bound Contaminant Resiliency and Response (SCoRR) strategy to define baseline and post-event sediment-bound environmental health (EH) stressors. These data document the major element chemistry, major and trace chemical composition, total sulfur content, inorganic and organic carbon for soil and sediment samples from selected stations...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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This metadata report documents a shapefile of 84 selected United States Geological Survey (USGS) water quality stations that are part of the Chesapeake Bay non-tidal network (NTN).
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We identified a set of cores for each species that include areas of high relative value to the species either in the present, the future, or both. We assessed and mapped the connections between each nearby pair of cores (both in the future and present) and used the pairwise connectivities to assemble a graph of connections and to score each core’s connectivity in the present and future. Finally, we created an overall score that combines the landscape capability value, the climate refugia value, and the connectivity of each core which we think is a good starting point for conservation of each species. In general we found that the highest habitat values, connectivity, and scores were concentrated both towards the...
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We identified a set of cores for each species that include areas of high relative value to the species either in the present, the future, or both. We assessed and mapped the connections between each nearby pair of cores (both in the future and present) and used the pairwise connectivities to assemble a graph of connections and to score each core’s connectivity in the present and future. Finally, we created an overall score that combines the landscape capability value, the climate refugia value, and the connectivity of each core which we think is a good starting point for conservation of each species. In general we found that the highest habitat values, connectivity, and scores were concentrated both towards the...
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We identified a set of cores for each species that include areas of high relative value to the species either in the present, the future, or both. We assessed and mapped the connections between each nearby pair of cores (both in the future and present) and used the pairwise connectivities to assemble a graph of connections and to score each core’s connectivity in the present and future. Finally, we created an overall score that combines the landscape capability value, the climate refugia value, and the connectivity of each core which we think is a good starting point for conservation of each species. In general we found that the highest habitat values, connectivity, and scores were concentrated both towards the...
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We identified a set of cores for each species that include areas of high relative value to the species either in the present, the future, or both. We assessed and mapped the connections between each nearby pair of cores (both in the future and present) and used the pairwise connectivities to assemble a graph of connections and to score each core’s connectivity in the present and future. Finally, we created an overall score that combines the landscape capability value, the climate refugia value, and the connectivity of each core which we think is a good starting point for conservation of each species. In general we found that the highest habitat values, connectivity, and scores were concentrated both towards the...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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A one-year seismic hazard forecast for the Central and Eastern United States, based on induced and natural earthquakes, has been produced by the U.S. Geological Survey. The model assumes that earthquake rates calculated from several different time windows will remain relatively stationary and can be used to forecast earthquake hazard and damage intensity for the year 2016. This assessment is the first step in developing an operational earthquake forecast for the CEUS, and the analysis could be revised with updated seismicity and model parameters. Consensus input models consider alternative earthquake catalog durations, smoothing parameters, maximum magnitudes, and ground motion estimates, and represent uncertainties...
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We identified a set of cores for each species that include areas of high relative value to the species either in the present, the future, or both. We assessed and mapped the connections between each nearby pair of cores (both in the future and present) and used the pairwise connectivities to assemble a graph of connections and to score each core’s connectivity in the present and future. Finally, we created an overall score that combines the landscape capability value, the climate refugia value, and the connectivity of each core which we think is a good starting point for conservation of each species. In general we found that the highest habitat values, connectivity, and scores were concentrated both towards the...


    map background search result map search result map National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC12 National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC8 GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow Chance of damage from an earthquake in 2016 based on peak ground acceleration for the Central and Eastern United States Chance of damage from an earthquake in 2016 based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration for the Central and Eastern United States Chance of damage from an earthquake in 2016 based on horizontal spectral response acceleration for 1.0-second period for the Central and Eastern United States Chesapeake Bay non-tidal network shapefiles for selected station locations Analytical inorganic chemistry results for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 Chesapeake Bay non-tidal network shapefiles for selected watershed boundaries Dos Rios LCD Aquifers American woodcock refugia cores and connectivity scores Bicknell's thrush refugia cores and connectivity scores Blackburnian warbler refugia cores and connectivity scores Cerulean warbler refugia cores and connectivity scores Moose refugia cores and connectivity scores Box turtle refugia cores and connectivity scores Saltmarsh sparrow refugia cores and connectivity scores Digital elevation model and derivative datasets to support the integration of stormwater drainage into the Washington, D.C. Stormwater StreamStats application Basin characteristics data for the Washington, D.C. StreamStats application Digital elevation model and derivative datasets to support the integration of stormwater drainage into the Washington, D.C. Stormwater StreamStats application Basin characteristics data for the Washington, D.C. StreamStats application Dos Rios LCD Aquifers Chesapeake Bay non-tidal network shapefiles for selected station locations Chesapeake Bay non-tidal network shapefiles for selected watershed boundaries Saltmarsh sparrow refugia cores and connectivity scores Moose refugia cores and connectivity scores Cerulean warbler refugia cores and connectivity scores Box turtle refugia cores and connectivity scores Analytical inorganic chemistry results for samples collected for the Sediment-Bound Contaminant Resiliency and Response Strategy pilot study, northeastern United States, 2015 Blackburnian warbler refugia cores and connectivity scores Bicknell's thrush refugia cores and connectivity scores American woodcock refugia cores and connectivity scores Chance of damage from an earthquake in 2016 based on peak ground acceleration for the Central and Eastern United States Chance of damage from an earthquake in 2016 based on the average of horizontal spectral response acceleration for 1.0-second period and peak ground acceleration for the Central and Eastern United States Chance of damage from an earthquake in 2016 based on horizontal spectral response acceleration for 1.0-second period for the Central and Eastern United States National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC12 National Fish Habitat Partnership (NFHP) 2010 HCI Scores - by HUC8 GAGES-II: Geospatial Attributes of Gages for Evaluating Streamflow