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This data set provides the abiotic water balance variables used for species distribution modelings for Pinus albicaulis within the Greater Yellowstone Ecosystem
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Sage-grouse habitat areas divided into proposed management categories within Nevada and California project study boundaries. HABITAT CATEGORY DETERMINATION The process for category determination was directed by the Nevada Sagebrush Ecosystem Technical team. Sage-grouse habitat was determined from a statewide resource selection function model and first categorized into 4 classes: high, moderate, low, and non-habitat. The standard deviations (SD) from a normal distribution of RSF values created from a set of validation points (10% of the entire telemetry dataset) were used to categorize habitat ‘quality’ classes. 1) High quality habitat comprised pixels with RSF values < 0.5 SD. 2) Moderate > 0.5 and < 1.0 SD. 3)...
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This raster depicts the percentage of lithological the hydraulic conductivity (in micrometers per second) of surface or near surface geology. We derived these rasters by calculating the average conductivity for each map unit in combined surficial-bedrock geologic maps. We used state geologic maps (Preliminary Integrated Geologic Map Databases for the United States, Open File Reports 2004-1355, 2005-1305, 2005-1323, 2005-1324, 2005-1325, 2005-1351, and 2006-1272), which depict surficial geology instead of bedrock when the surficial layers are sufficiently deep. For the state maps that do not incorporate surficial geology (i.e., midwestern states), we overlaid surficial geologic map units with thicknesses greater...
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This landcover raster was generated through a Random Forest predictive model developed in R using a combination of image-derived and ancillary variables, and field-derived training points grouped into 18 classes. Overall accuracy, generated internally through bootstrapping, was 75.5%. A series of post-modeling steps brought the final number of land cover classes to 28.
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The polygon (vector) shapefile represents Public Land Survey System (PLSS) sections, or 1-square mile areas of land, with information about Bureau of Land Management (BLM) land and mineral use authorizations for mining claims. For each section, the number of claims (by type) was determined and a density (by claim type) was calculated. The land areas specified by BLM authorizations vary in size and orientation, and may cross PLSS section boundaries. For spatial consistency, the information was aggregated to the square mile PLSS section boundary. The original source data from BLM Cases Recordation database (LR2000) were specific to the day they were generated (March 6, 2016) and subsequent data pulls will likely be...
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Training points collected in the field between 2012 and 2013 were grouped into 18 classes: Forested Burn (66), Foothill Woodland Steppe Transition (73), Greasewood Flat (73), Greasewood Steppe (239), Greasewood Sage Steppe (277), Great Plains Badlands (166), Great Plains Riparian (255), Low Density Sage Steppe (776), Medium Density Sage Steppe (783), Mixed Grass Prairie (555), Mixed Grass Prairie Burned (278), Ponderosa Pine Woodland and Shrubland (512), Riparian Floodplain (223), Semi-Desert Grassland (103), Sparsely Vegetated Mixed Shrub (252), Silver Sage Flat (70) , Silver Sage Steppe (64), and Water (246). When insufficient field data were available for a class, we augmented it through photointerpretation of...
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In 1991, the U.S. Geological Survey (USGS) began a study of more than 50 major river basins across the Nation as part of the National Water-Quality Assessment (NAWQA) project of the National Water-Quality Program. One of the major goals of the NAWQA project is to determine how water-quality conditions change over time. To support that goal, long-term consistent and comparable monitoring has been conducted on streams and rivers throughout the Nation. Outside of the NAWQA project, the USGS and other Federal, State, and local agencies also have collected long-term water-quality data to support their own assessments of changing water-quality conditions. Data from these multiple sources have been combined to support...
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This data table contains mean decomposition rates and mean carbon:nitrogen ratios for different litter types buried in 7 marshes during 2015. Note that C:N data are repeated for low and high marsh areas at each site in the table. These data support the following publication: Janousek, C.N., Buffington, K.J., Guntenspergen, G.R. et al. Ecosystems (2017). doi:10.1007/s10021-017-0111-6. http://link.springer.com/article/10.1007/s10021-017-0111-6
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This data set contains decomposition rates for litter of Salicornia pacifica, Distichlis spicata, and Deschampsia cespitosa buried at 7 tidal marsh sites in 2015. Sediment organic matter values were collected at a subset of sites. These data support the following publication: Janousek, C.N., Buffington, K.J., Guntenspergen, G.R. et al. Ecosystems (2017). doi:10.1007/s10021-017-0111-6. http://link.springer.com/article/10.1007/s10021-017-0111-6
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This part of DS 781 presents 2-m-resolution data collected by the U.S. Geological Survey in 2007 for the acoustic-backscatter map of the Offshore of Gaviota Map Area, California. The GeoTiff is included in "Backscatter_[USGS07]_OffshoreGaviota.zip," which is accessible from https://doi.org/10.5066/F7TH8JWJ. The acoustic-backscatter map of the Offshore of Gaviota map area in southern California was generated from acoustic-backscatter data collected by the U.S. Geological Survey (USGS) and by Fugro Pelagos Inc. Acoustic mapping was completed between 2007 and 2008 using a combination of 400-kHz Reson 7125, 240-kHz Reson 8101, and 100-kHz Reson 8111 multibeam echosounders, as well as a 234-kHz SEA SWATHplus bathymetric...
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Sediment samples and samples for water-toxicity testing were collected during 2014 from several streams in San Antonio, Texas known locally as the Westside creeks (Alazán, Apache, Martínez, and San Pedro Creeks) and from the San Antonio River. Samples were collected once during base-flow and again after periods of storm-water runoff (post-storm conditions) to determine baseline sediment- and water-quality conditions. Streambed-sediment samples were analyzed for selected constituents, including trace elements and organic contaminants such as pesticides, polychlorinated biphenyls (PCBs), brominated flame retardants, and polycyclic aromatic hydrocarbons (PAHs).


map background search result map search result map Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Geophysical Characteristics of the Conterminous United States: Hydraulic Conductivity (µm/s) Charles M. Russell National Wildlife Refuge Spot Landcover Classification in Relation to Greater Sage Grouse Training Points BLM LR2000 mining claim authorizations (density) for the Sagebrush Mineral-Resource Assessment (SaMiRA) aggregated by Public Land Survey System (PLSS) section boundaries Sediment-quality and water-toxicity data from 10 sites on the Westside Creeks and San Antonio River, San Antonio, Texas, 2014 Water-quality and streamflow datasets used in the Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nation’s rivers and streams, 1972-2012(output) Water Balance and Habitat Suitability Data for Pinus Albicaulis in Greater Yellowstone Ecosystem Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T2 from 1983 Decomposition rates and carbon:nitrogen ratios for different litter types, 2015 Litter Decomposition Rates, 2015 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T6 from 1986 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 16 July 1998 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 14 July 1999 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2001 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2007 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P1, T1, and T3 from 2009 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P6 and P7 from 2011 Backscatter [USGS07]--Offshore of Gaviota Map Area, California Cottonwood Lake Study Area-Wetland Vegetation Zones-1990 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T6 from 1986 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland T2 from 1983 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P8 from 14 July 1999 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P1, T1, and T3 from 2009 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetlands P6 and P7 from 2011 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2001 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 16 July 1998 Digital Orthorectified Aerial Image of Cottonwood Lake Study Area Wetland P11 from 2007 Cottonwood Lake Study Area-Wetland Vegetation Zones-1990 Sediment-quality and water-toxicity data from 10 sites on the Westside Creeks and San Antonio River, San Antonio, Texas, 2014 Backscatter [USGS07]--Offshore of Gaviota Map Area, California Training Points Charles M. Russell National Wildlife Refuge Spot Landcover Classification in Relation to Greater Sage Grouse Water Balance and Habitat Suitability Data for Pinus Albicaulis in Greater Yellowstone Ecosystem Sage-grouse Habitat Categories in Nevada and NE California (August 2014) Decomposition rates and carbon:nitrogen ratios for different litter types, 2015 Litter Decomposition Rates, 2015 BLM LR2000 mining claim authorizations (density) for the Sagebrush Mineral-Resource Assessment (SaMiRA) aggregated by Public Land Survey System (PLSS) section boundaries Geophysical Characteristics of the Conterminous United States: Hydraulic Conductivity (µm/s) Water-quality and streamflow datasets used in the Weighted Regressions on Time, Discharge, and Season (WRTDS) models to determine trends in the Nation’s rivers and streams, 1972-2012(output)