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This data set provides industrial-scale onshore wind turbine locations, corresponding facility information, and turbine technical specifications, in the United States to March 2014. The database has nearly 49,000 wind turbine records that have been collected, digitized, locationally verified, and internally quality assured and quality controlled. Turbines from the Federal Aviation Administration Digital Obstacle File, product date March 2, 2014, were used as the primary source of turbine data points. Verification of the position of turbines was done by visual interpretation using high-resolution aerial imagery in ESRI ArcGIS Desktop. Turbines without Federal Aviation Administration Obstacle Repository System (FAA...
Categories: Data; Types: ArcGIS REST Map Service, Citation, Map Service; Tags: energy, District of Columbia, Missouri, Mississippi, windfarm, All tags...
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The State Geologic Map Compilation (SGMC) geodatabase of the conterminous United States (https://doi.org/10.5066/F7WH2N65) represents a seamless, spatial database of 48 State geologic maps that range from 1:50,000 to 1:1,000,000 scale. A national digital geologic map database is essential in interpreting other datasets that support numerous types of national-scale studies and assessments, such as those that provide geochemistry, remote sensing, or geophysical data. The SGMC is a compilation of the individual U.S. Geological Survey releases of the Preliminary Integrated Geologic Map Databases for the United States. The SGMC geodatabase also contains updated data for seven States and seven entirely new State geologic...
Categories: Data; Types: ArcGIS REST Map Service, ArcGIS Service Definition, Downloadable, Map Service; Tags: geographic information systems, South Carolina, bedrock geologic units, Wisconsin, Vermont, All tags...
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This study uses growth in vegetation during the monsoon season measured from LANDSAT imagery as a proxy for measured rainfall. NDVI values from 26 years of pre- and post-monsoon season Landsat imagery were derived across Yuma Proving Ground (YPG) in southwestern Arizona, USA. The LANDSAT imagery (1986-2011) was downloaded from USGS’s GlobeVis website (http://glovis.usgs.gov/). Change in NDVI was calculated within a set of 2,843 Riparian Area Polygons (RAPs) up to 1 km in length defined in ESRI ArcMap 10.2.
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These data consist of species relative cover, percent cover of dead plant material, percent cover of soil and rock, and a variety of broad - and local- scale environmental variables. These data relate to sample sites along the Colorado River through Grand Canyon between Lees Ferry and river mile 245. The plant and ground cover data included here were originally collected as a part of annual vegetation monitoring by Grand Canyon Monitoring and Research Center. Environmental variables were either recorded in the field or obtained through other data sources. Species and ground cover data were collected in August and September 2014 at 96 randomly selected sample sites that were approximately evenly distributed along...
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The U.S. Geological Survey (USGS) has developed and implemented an algorithm that identifies burned areas in dense time series of Landsat image stacks to produce the Landsat Burned Area Essential Climate Variable (BAECV) products. The algorithm makes use of predictors derived from individual Landsat scenes, lagged reference conditions, and change metrics between the scene and reference conditions. Outputs of the BAECV algorithm consist of pixel-level burn probabilities for each Landsat scene, and annual burn probability, burn classification, and burn date composites. These products were generated for the conterminous United States for 1984 through 2015. These data are also available for download at https://rmgsc.cr.usgs.gov/outgoing/baecv/BAECV_CONUS_v1.1_2017/...
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These data were used to examine the effectiveness of a non-lethal tool (Bioelectrical Impedance Analysis, "BIA") to estimate the physiological condition of endangered and threatened fishes in the Colorado River Basin. We conducted laboratory trials using hatchery-raised Humpback Chub and Bonytail and wild-captured Roundtail Chub, where fish were subjected to different feeding trials to elucidate a response in physiological condition and different temperature treatments to approximate field conditions. At the end of each 6-week trial fish were removed from tanks, lateral and dorsal measurements of BIA were taken, and fish were sacrificed for proximate composition analysis (lipid, protein, water, ash, dry mass, energy...
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These data were used to examine how post-fire sedimentation might change in western USA watersheds with future fire from the decade of 2001-10 through 2041-50. The data include previously published projections (Hawbaker and Zhu, 2012a, b) of areas burned by future wildfires for several climate change scenarios and general circulation models (GCMs) that we summarized for 471 watersheds of the western USA. The data also include previously published predictions (Miller et al., 2011) of first year post-fire hillslope soil erosion from GeoWEPP that we summarized for 471 watersheds of the western USA. We synthesized these summarized data in order to project sediment yield from future fires for 471 watersheds through the...
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The Southwest Exotic Plant Mapping Program (SWEMP) is a collaborative effort between the United States Geological Survey and federal, tribal, state, county and non-governmental organization (NGO) partners in the southwest. This project is an ongoing effort to compile and distribute regional data on the occurrence of non-native invasive plants in the southwestern United States. The database represents the known sites (represented by a point location, i.e. site) of non-native invasive plant infestations within Arizona and New Mexico, and adjacent portions of California, Colorado, Nevada and Utah. These data, collected from 1911 to 2006, represent the field observations of various state, federal, tribal and county...
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Bathymetric, topographic, and grain-size data were collected in May 2009 along a 33-mi reach of the Colorado River in Grand Canyon National Park, Arizona. The study reach is located from river miles 29 to 62 at the confluence of the Colorado and Little Colorado Rivers. Channel bathymetry was mapped using multibeam and singlebeam echosounders, subaerial topography was mapped using ground-based total-stations, and bed-sediment grain-size data were collected using an underwater digital microscope system. These data were combined to produce digital elevation models, spatially variable estimates of digital elevation model uncertainty, georeferenced grain-size data, and bed-sediment distribution maps.
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These data provide information about vegetation structure and composition associated with Arizona Grasshopper Sparrow territories, nest plots, and random transects on two study sites - Audubon Appleton-Whittell Research Ranch and BLM Las Cienegas National Conservation Area (NCA) - Davis Pasture - in southeastern Arizona. Data were collected from 2009 through 2013. These are data associated with Ruth and Skagen (2017) cited above.
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Two unique datasets were gathered to document whether flow management for hydropower affects the abundance and diversity of aquatic insect assemblages. The first dataset was collected in Grand Canyon from 2012-2014 by citizen scientists rafting the Colorado River. Simple light traps were set out each night in camp and used to capture the adult life stages of aquatic insects that emerged from the Colorado River. Three aquatic insect taxa were captured in sufficient abundance to analyze statistically including midges (order Diptera, family Chironomidae), micro-caddisflies (order Trichoptera, family Hydroptilidae), and blackflies (order Diptera, family Simuliidae, principally Simulium arcticum). These data were used...
Types: Citation; Tags: Arizona, San Juan River, Adult aquatic insects, Light traps, Navajo Dam, All tags...
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Landscape intactness has been defined as a quantifiable estimate of naturalness measured on a gradient of anthropogenic influence. We developed a multiscale index of landscape intactness for the Bureau of Land Management’s (BLM) landscape approach, which requires multiple scales of information to quantify the cumulative effects of land use. The multiscale index of landscape intactness represents a gradient of anthropogenic influence as represented by development levels at two analysis scales. To create the index, we first mapped the surface disturbance footprint of development, for the western U.S., by compiling and combining spatial data for urban development, agriculture, energy and minerals, and transportation...
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In the southwestern US, the meteorological phenomenon known as atmospheric rivers (ARs) has gained increasing attention due to its strong connections to floods, snowpacks and water supplies in the West Coast states. Relatively less is known about the ecological implications of ARs, particularly in the interior Southwest, where AR storms are less common. To address this gap, we compared a chronology of AR landfalls on the west coast between 1989-2011 and between 25-42.5ºN, to annual metrics of the Normalized Difference Vegetation Index (NDVI; an indicator of vegetation productivity) and daily-resolution precipitation data to assess influences of AR-fed winter precipitation on vegetation productivity across the southwestern...
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These data were compiled from field drift collections and from a meta-analysis of published drift literature. Field data were collected in 2014 from the Colorado River downstream of Glen Canyon Dam, Arizona, from the Salt River downstream of Stewart Mountain Dam, Arizona, and from Wet Beaver Creek near the Village of Oak Creek, Arizona. These data represent flow meter measurements taken at the mouth and adjacent to a drift net, and suspended solids concentrations collected by the drift net, over varying net deployment durations.
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Estimated precipitation data were compiled using the WestMap web site (http://www.cefa.dri.edu/Westmap/) from 1995-2013. We selected pixels on the map shown on their web site that were in the core of our study areas: one near Palm Springs, California and the other at Sugarloaf Mountain in the Tonto National Forest of Arizona. WestMap uses PRISM data to make point measurements of climate data and a digital elevation model of terrain to create estimates of monthly climate elements. Estimates are derived for a 4km grid, for ease in mapping and GIS applications. PRISM is an integrated set of rules, decision making, and calculations designed to imitate the process an expert climatologist would go through when mapping...
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This dataset contains information on the physical traits and environmental tolerances of plant species occurring along the lower Colorado River through Grand Canyon. Due to the unique combination of plant species within the Grand Canyon, this flora shares species with many riparian areas in the western U.S.A. and represents obligate wetland to obligate upland plant species. Data for the matrix were compiled from published scientific papers, unpublished reports, plant fact sheets, existing trait databases, regional floras, and plant guides. Categorical, ordinal, and continuous data are included in this dataset. This dataset does not contain sensitive or classified data.
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These data include image-based classifications of total vegetation from 1965, 1973, 1984, 1992, 2002, 2004, 2005, and 2009, and characteristics of the river channel along the riparian area of the Colorado River between Glen Canyon Dam and Lake Mead Reservoir.
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Two unique datasets on the abundance and morphology of the angel lichen moth (Cisthene angelus) in Grand Canyon, Arizona, USA were compiled to describe the phenology and life history of this common, but poorly known, species. The abundance data were collected from 2012 to 2013 through a collaboration with river runners in Grand Canyon National Park. These citizen scientists deployed light traps from their campsites for one hour each night of their expedition. Insects were preserved in ethanol on site, and returned to the Southwest Biological Science Center in Flagstaff, Arizona for analysis in the laboratory. A total of 2,437 light trap samples were sorted through, 903 of which contained C. angelus. In total, 73,841...


map background search result map search result map Onshore Industrial Wind Turbine Locations for the United States to March 2014 USGS 2016 TKennedy and JMuehlbauer: Flow management, aquatic insects and river food webs - Data USGS 2016 AMetcalfe: Angel Lichen Moth Abundance and Morphology Data, Grand Canyon, AZ, 2012 Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 - 2015) Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011 A Multiscale Index of Landscape Intactness for the Western United States USGS 2017 JMuehlbauer: Stream Drift Sampling in Arizona, 2014—Data Data on influence of atmospheric rivers on vegetation productivity and fire patterns in the southwestern US The State Geologic Map Compilation (SGMC) Geodatabase of the Conterminous United States Catchment-flowline network and selected model inputs for an enhanced and updated spatially referenced statistical assessment of dissolved-solids load sources and transport in streams of the Upper Colorado River Basin USGS 2017 MKaplinski Channel Mapping of the Colorado River in Grand Canyon National Park, Arizona, May 2009, river miles 29 to 62—Data USGS 2016 EPalmquist & BRalston: Southwestern Riparian Plant Trait Matrix, Colorado River, Grand Canyon, 2014 to 2016—Data USGS 2017 JLovich: Desert Tortoise Ecology and Precipitation, Mojave and Sonoran Deserts—Data USGS 2015 JSankey: Riparian Vegetation and Colorado River—Data USGS 2017 KDibble: Bioelectrical impedance analysis for an endangered desert fish—Data USGS 2017 KThomas: Southwest Exotic Mapping Program (SWEMP) Database, 2007 USGS 2017 JSankey: Climate, Wildfire, and Erosion Data, Western US Magnetotelluric survey to characterize the Sunnyside Porphyry Copper System in the Patagonia Mountains, Arizona USGS 2017 EPalmquist: Riparian Vegetation and Environmental Variables, Colorado River, 2014—Data Habitat Data for Arizona Grasshopper Sparrow Territories, Nest Plots, and Random Transects, 2009 to 2013 USGS 2017 KDibble: Bioelectrical impedance analysis for an endangered desert fish—Data Magnetotelluric survey to characterize the Sunnyside Porphyry Copper System in the Patagonia Mountains, Arizona Habitat Data for Arizona Grasshopper Sparrow Territories, Nest Plots, and Random Transects, 2009 to 2013 Mean of the Top Ten Percent of NDVI Values in the Yuma Proving Ground during Monsoon Season, 1986-2011 USGS 2017 JLovich: Desert Tortoise Ecology and Precipitation, Mojave and Sonoran Deserts—Data USGS 2016 AMetcalfe: Angel Lichen Moth Abundance and Morphology Data, Grand Canyon, AZ, 2012 USGS 2017 EPalmquist: Riparian Vegetation and Environmental Variables, Colorado River, 2014—Data USGS 2016 EPalmquist & BRalston: Southwestern Riparian Plant Trait Matrix, Colorado River, Grand Canyon, 2014 to 2016—Data USGS 2015 JSankey: Riparian Vegetation and Colorado River—Data Catchment-flowline network and selected model inputs for an enhanced and updated spatially referenced statistical assessment of dissolved-solids load sources and transport in streams of the Upper Colorado River Basin USGS 2016 TKennedy and JMuehlbauer: Flow management, aquatic insects and river food webs - Data USGS 2017 KThomas: Southwest Exotic Mapping Program (SWEMP) Database, 2007 Data on influence of atmospheric rivers on vegetation productivity and fire patterns in the southwestern US USGS 2017 JSankey: Climate, Wildfire, and Erosion Data, Western US A Multiscale Index of Landscape Intactness for the Western United States The State Geologic Map Compilation (SGMC) Geodatabase of the Conterminous United States Landsat Burned Area Essential Climate Variable products for the conterminous United States (1984 - 2015) Onshore Industrial Wind Turbine Locations for the United States to March 2014