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These data represent modeled stream temperatures for a portion of a larger dataset known as the Great Northern Landscape Conservation Cooperative (GNLCC) (https://www.fws.gov/science/catalog). This metadata record is a combined description for two spatial data feature types, vector lines and points, which cover the same geographic area. The line features are derived from NHDPlus (http://www.horizon-systems.com/NHDPlus/index.php) (USEPA and USGS, 2010) stream lines and the point data represent 1 km intervals along the NHDPlus stream network. Both datasets contain identical modeled stream temperature attributes. These modeled stream temperatures were generated as part of the U.S. Forest Service NorWeST stream temperature...
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This layer represents 5-year relative counts of wildlife carcasses collected by Montana Department of Transportation (MDT) maintenance personnel or U.S. Fish & Wildlife Service Grizzly Bear Recovery Team personnel on or adjacent to on-system (major) routes from 2008 to 2012. To obtain relative counts, the 5-year total counts per mile, which included all wildlife species observed, were divided by the maximum observed calue (98) to give a relative 0-1 risk score. Total counts, which include all wildlife species observed, along with carnivore counts, which include only black bears, grizzly bears, mountain lions, and wolves, are provided. Counts were derived by identifying the nearest mile marker to each carcass point...
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These heatmaps show a top 3 invasive and problematic plant stressor for riparian areas in the Chihuahuan Desert, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were...
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These heatmaps show a top 3 riparian ecosystem functionality stressor, as ranked by participants, and the concentration of participants who reported as working in each municipality or county who also voted for that stressor across the landscape. Symbology represents the percentage of participants with 0% = dark green, 0.0001 % - 24.99% = light green, 25% - 49.99% = yellow, 50% - 74.99% = orange, 75% - 100% = red. All counties and municipalities identified by participants as areas where they work were given a tally for each of the top 3 stressors that participants chose. Counties with a small number of participants were not adjusted for small sample size. These results were shared via a webinar hosted by the Desert...
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Rainwater Harvesting and Stormwater Research is a priority research area identified by the Arizona Governor’s Blue Ribbon Panel on Water Sustainability, which recommended that universities take the lead to identify regulatory barriers, cost and benefits, water quality issues and avenues for increasing utilization of stormwater and rainwater at the regional, community and individual property level. In an effort to address the priority research area, the University of Arizona will develop a decision support tool to be used by public utilities and agencies to evaluate suitability and cost-effectiveness of rainwater and stormwater capture at various scales for multiple benefits. Data from the City of Tucson, Arizona...
The National Hydrography Dataset (NHD) is a feature-based database that interconnects and uniquely identifies the stream segments or reaches that make up the nation's surface water drainage system. NHD data was originally developed at 1:100,000-scale and exists at that scale for the whole country. This high-resolution NHD, generally developed at 1:24,000/1:12,000 scale, adds detail to the original 1:100,000-scale NHD. (Data for Alaska, Puerto Rico and the Virgin Islands was developed at high-resolution, not 1:100,000 scale.) Local resolution NHD is being developed where partners and data exist. The NHD contains reach codes for networked features, flow direction, names, and centerline representations for areal water...
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Convert fences in mule deer crucial winter range, in the Powder Rim allotment, where the design of fence (5-6 barbed) to improve big game passage and reduce stress, energy loss, injury, and mortality.
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The assessment unit (AU) layer is a compilation of all AUs that exist either wholly or in part in Colorado and New Mexico. These data have been previously published by the USGS Energy Resources Program National Assessment of Oil and Gas Resources Project as of January 2012. Attributes specific to each AU include: location, unique identifier, year assessed, undiscovered hydrocarbon resource estimates (F95, F50, F5, and mean), geologic probability of resource, original publication information (title, date, authors, URL) and area of each AU in acres and hectares.
This release is an update to the online "Quaternary fault and fold database" for Washington State. The online database was last updated for Washington in 2014 – this 2020 update includes newly identified and modified traces and geometries for on-shore faults gleaned from new peer-reviewed studies and mapping of active faults within the state of Washington. These data contain lines representing the location of faults with known or suspected Quaternary (<1,600,000 yrs) activity in the state of Washington. This data was compiled in conjunction with the Washington State Geological Survey. Faults are attributed following the Quaternary fault and fold database attributes, including information such as age, slip sense,...
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As part of a collaborative study with the City of Raleigh, North Carolina, the U.S. Geological Survey is assessing streambank erosion potential in selected stream reaches throughout the Greater Raleigh metropolitan area. Rapid field measurement techniques were used to assess streambank stability at 124 stream segments between January and March 2022. Field data were collected using the Bank Erosion Hazard Index (BEHI) and Near Bank Stress (NBS) assessment methods (Rosgen, 2001; Rosgen and others, 2008) as well as the Rapid Geomorphic Assessment (RGA) method (Simon and others, 2007). This Data Release contains a dataset with all stream site information, field measurements, and streambank stability assessment results;...
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Summary This data release contains postprocessed model output from a simulation of hypothetical rapid motion of landslides, subsequent wave generation, and wave propagation. A simulated displacement wave was generated by rapid motion of unstable material into Barry Arm fjord. We consider the wave propagation in Harriman Fjord and Barry Arm, western Prince William Sound (area of interest and place names depicted in Figure 1). We consider only the largest wave-generating scenario presented by Barnhart and others (2021a, 2021b). As in Barnhart and others (2021c), we used a simulation setup similar to Barnhart and others (2021a, 2021b), but our results differ because we used different topography and bathymetry datasets....
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Associated publication: Barnhart, W.D., Gold, R.D., Hollingsworth, J., 2020 Localized fault zone dilatancy and surface inelasticity of the 2019 Ridgecrest earthquakes. Nature Geoscience. DOI: 10.1038/s41561-020-0628-8. We derived co-seismic horizontal displacements of the Ridgecrest earthquakes through sub-pixel cross correlation of satellite optical imagery from the DigitalGlobe satellites Worldview-1 (WV01), Worldview-2 (WV02), and Worldview-3 (WV03). Pre-event stereo images were acquired between September and December 2014, and post-event images were acquired between July and August 2019. The horizontal and vertical raster files are are in UTM Zone 11N coordinates with 2-m spatial resolution. Details concerning...
The U.S. Army Corps of Engineers' Upper Mississippi River Restoration (UMRR) Program Long Term Resource Monitoring (LTRM) element has overseen the collection, processing, and serving of bathymetric data since 1989. A systemic data collection for the Upper Mississippi River System (UMRS) was completed in 2010. Water depth in aquatic systems is important for describing the physical characteristics of a river. Bathymetric maps are used for conducting spatial inventories of the aquatic habitat and detecting bed and elevation changes due to sedimentation. Bathymetric data is widely used, specifically for studies of water level management alternatives, modeling navigation impacts and hydraulic conditions, and environmental...
Aerial photographs for Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial photographs for Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. All CIR aerial photos were orthorectified, mosaicked, compressed, and served via the UMESC Internet site. The CIR aerial photos were interpreted and automated using a 31-class LTRMP vegetation classification. The 2010/11 LCU databases were prepared by or under the supervision...
Aerial photographs for Pools 1-13 Upper Mississippi River System and Pools, Alton-Marseilles, Illinois River were collected in color infrared (CIR) in August of 2010 at 8”/pixel and 16”/pixel respectively using a mapping-grade Applanix DSS 439 digital aerial camera. In August 2011, CIR aerial photographs for Pools 14-Open River South, Upper Mississippi River and Pools Dresden-Lockport, Illinois River were collected at 16”/pixel with the same camera. All CIR aerial photos were orthorectified, mosaicked, compressed, and served via the UMESC Internet site. The CIR aerial photos were interpreted and automated using a 31-class LTRMP vegetation classification. The 2010/11 LCU databases were prepared by or under the supervision...
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In 2004, about 90 migrating elk drowned after attempting to cross thin ice on the Mores Creek arm of Lucky Peak Lake upstream of the Highway 21 bridge. To better understand the depths over a range of reservoir pool elevations in the Mores Creek Arm, the U.S. Geological Survey, in cooperation with the Lucky Peak Power Plant Project, conducted high-resolution multibeam echosounder (MBES) bathymetric surveys on the Mores Creek arm on Lucky Peak Lake. The MBES data will assist reservoir managers and wildlife biologists with regulating reservoir water surface elevations (WSE) to support successful big game migration across Mores Creek on Lucky Peak Lake. Data collection provided nearly 100 percent coverage of bed elevations...
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The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast by compiling a database of historical (mid 1800's-1989) shoreline positions. Trends of shoreline position over long and short-term timescales provide information to landowners, managers, and potential buyers about possible future impacts to coastal resources and infrastructure. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates along ocean-facing sections of the Massachusetts coast. In 2013, two oceanfront shorelines for Massachusetts were added using 2008-2009 color aerial orthoimagery and 2007 topographic lidar datasets obtained...
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Desert Landscape Conservation Cooperative Boundary delineates the spatial extent of the DLCC. The vector boundary is available as both a shapefile and KML file. This is a derivative product of the LCCs shapefile produced by the U.S. Fish and Wildlife Service, accessed from http:/http://www.fws.gov/GIS/data/national/ in 2014.To access the KML file, click on the ScienceBase URL and then select Open in Google Earth (KML). To access the shapefile (FWS_LCC_DLCC.shp), click on FWS_LCC_DLCC.zip linked from this product profile.
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The Climate Adaptation Science Centers (CASCs) partner with natural and cultural resource managers, tribes and indigenous communities, and university researchers to provide science that helps fish, wildlife, ecosystems, and the communities they support adapt to climate change. The CASCs provide managers and stakeholders with information and decision-making tools to respond to the effects of climate change. While each CASC works to address specific research priorities within their respective region, CASCs also collaborate across boundaries to address issues within shared ecosystems, watersheds, and landscapes. These shapefiles represent the 9 CASC regions and the national CASC that comprise the CASC network, highlighting...
map background search result map search result map Baggs Area Fence Conversion NHD (High Resolution) Water Bodies for Colorado and New Mexico USGS National Assessment of Oil and Gas Resources, Colorado and New Mexico NorWeST Predicted Stream Temp Lines Upper Snake Bear Boundary Dataset Utility Guide to Rainwater/Stormwater Harvesting as an Adaptive Response to Climate Change Road-Killed Wildlife Carcass Frequency by Mile of Montana On-System Routes in the U.S. Northern Rockies (2008-2012) UMRS LTRMP 2010/11 LCU Mapping -- Illinois River Starved Rock Reach UMRS LTRMP 2010/11 LCU Mapping -- Mississippi River Navigation Pool 26 Maps of the USGS Climate Adaptation Science Centers (May 2024) UMRR Illinois River Alton Reach Bathymetry Footprint FractureZones, Transboundary Connectivity: Washington & British Columbia Ecosystem Functionality Stressors for Riparian Areas in the Chihuahuan Desert Invasive and Problematic Plant Stressors for Riparian Areas in the Chihuahuan Desert Horizontal and vertical surface displacements 2020 Update to the Quaternary Fault and Fold Database for Washington State Mores Creek Arm Bathymetric Survey - Depth Contours, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 Baselines for the coast of Martha's Vineyard, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Simulated inundation extent and depth in Harriman Fjord and Barry Arm, western Prince William Sound, Alaska, resulting from the hypothetical rapid motion of landslides into Barry Arm Fjord, Prince William Sound, Alaska Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022 Mores Creek Arm Bathymetric Survey - Depth Contours, Lucky Peak Lake, Boise County, Idaho, May 11 - 13, 2021 Baggs Area Fence Conversion UMRS LTRMP 2010/11 LCU Mapping -- Illinois River Starved Rock Reach Baselines for the coast of Martha's Vineyard, Massachusetts, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Simulated inundation extent and depth in Harriman Fjord and Barry Arm, western Prince William Sound, Alaska, resulting from the hypothetical rapid motion of landslides into Barry Arm Fjord, Prince William Sound, Alaska Datasets for Rapid Assessment of Streambank Erosion Potential for Selected Streams throughout the Greater Raleigh Area, North Carolina, 2022 UMRS LTRMP 2010/11 LCU Mapping -- Mississippi River Navigation Pool 26 2020 Update to the Quaternary Fault and Fold Database for Washington State Road-Killed Wildlife Carcass Frequency by Mile of Montana On-System Routes in the U.S. Northern Rockies (2008-2012) FractureZones, Transboundary Connectivity: Washington & British Columbia NorWeST Predicted Stream Temp Lines Upper Snake Bear NHD (High Resolution) Water Bodies for Colorado and New Mexico Ecosystem Functionality Stressors for Riparian Areas in the Chihuahuan Desert Invasive and Problematic Plant Stressors for Riparian Areas in the Chihuahuan Desert Utility Guide to Rainwater/Stormwater Harvesting as an Adaptive Response to Climate Change USGS National Assessment of Oil and Gas Resources, Colorado and New Mexico Boundary Dataset Maps of the USGS Climate Adaptation Science Centers (May 2024)