Filters: partyWithName: U.S. Geological Survey, NORTHWEST REGION (X)
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This data set includes summary statistics and trend analysis results of various analytes from groundwater samples in Idaho (1990 to 2016).
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: environment,
farming,
geoscientificInformation,
health,
inlandWaters
Aquatic invasive species are often transported between water bodies on boats or boat trailers, thus they are considered one of the primary vectors for new introductions of invasive species to a water body. This data set contains geographic positioning system locational data for boater access points, use data (i.e. recreational, fishing), water quality measurements (e.g. calcium concentrations, pH), risk assessment data, and other physical attributes (i.e. size, elevation) where available within the Columbia and Snake Rivers and throughout the Columbia River Basin. This work builds on an earlier body of work by Wells et al. 2011, Prioritizing Zebra and Quagga Mussel Monitoring in the Columbia River Basin (PDF link...
Categories: Data;
Tags: Boat ramps,
Columbia River,
Columbia River Basin,
Dreissenids,
access points,
The Grizzly Bear Recovery Zone (GBRZ) for the Greater Yellowstone Ecosystem (GYE) delineates the area inside the GYE where demographic and habitat criteria were applied, monitored, and evaluated to achieve recovered status of the Yellowstone grizzly bear population. The GBRZ was established by the U.S. Fish and Wildlife Service (USFWS) in 1993 as part of the Recovery Plan for grizzly bears in the lower 48 conterminous United States. The recovery zone boundary identifies the known distribution of bears at that time and encompasses seasonal habitats needed to support a recovered population. The GYE recovery zone spans portions of Montana, Idaho and Wyoming and includes parts of 5 National Forests (Beaverhead-Deerlodge,...
The Wind River Indian Reservation is an area encompassing approximately 9,000 square kilometers in northwest Wyoming shared by the Eastern Shoshone and Northern Arapaho tribes of the Native American Indian Nations. The boundary feature was generated by the U.S. Geological Survey to represent the external boundary of the reservation at a scale of 1:500,000.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Arapaho,
Indian,
Reservation,
Shoshone,
Wind River,
The grizzly bear distribution boundary represents the estimated geographic extent of occupied range of the Yellowstone grizzly bear population for the period 2004-2018. The distribution boundary was delineated to provide reliable estimations of grizzly bear occupancy throughout time and for use as a monitoring tool in grizzly bear management and conservation. The boundary was delineated by the Interagency Grizzly Bear Study Team (IGBST) using an interpolation method based on grizzly bear telemetry and GPS locations as well as verified observations and signs of grizzly bears inside the Greater Yellowstone Ecosystem during 2004 to 2018.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Beaverhead-Deerlodge,
Bridger-Teton,
Caribou-Targhee,
Custer-Gallatin,
Grand Teton,
The grizzly bear distribution boundary represents the estimated geographic extent of occupied range of the Yellowstone grizzly bear population for the period 1980-1989. The distribution boundary was delineated to provide reliable estimations of grizzly bear occupancy throughout time and for use as a monitoring tool in grizzly bear management and conservation. The boundary was delineated by the Interagency Grizzly Bear Study Team (IGBST) using an interpolation method based on grizzly bear telemetry and GPS locations as well as verified observations and signs of grizzly bears inside the Greater Yellowstone ecosystem during 1980 to1989.
Categories: Data;
Types: Citation,
Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Beaverhead-Deerlodge,
Bridger-Teton,
Caribou-Targhee,
Gallatin-Custer,
Grand Teton,
This dataset is a compilation of data obtained from the Idaho Department of Water Quality, the Idaho Department of Water Resources, and the Water Quality Portal. The 'SiteID' table catalogues organization-specific identification numbers assigned to each monitoring location.
A series of tools (spreadsheets, a database and a document) to be used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
This R script can be used to analyze SELDM results. The script is specifically tailored for the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
This dataset is a compilation of data obtained from the Idaho Department of Water Quality, the Idaho Department of Water Resources, and the Water Quality Portal. The 'MonitoringLocation' table stores attribute data for groundwater wells. This table is related to the 'SiteID' table (which lists the variety of names given to each well by different organizations) and the 'Samples' table (which shows each sample associated with a particular well).
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: farming,
inlandWaters,
location,
structure
Spreadsheet used to calculate Highway Site characteristics (Drainage area, slope and impervious fraction) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053.
Spreadsheet used to calculated hydrograph recession parameters (Minimum, Most Probable Value, and Maximum) for the Stochastic Empirical Loading Dilution Model (SELDM) . The spreadsheet was used in conjunction with the SELDM simulations used in the publication: Stonewall, A.J., and Granato, G.E., 2019, Assessing potential effects of highway and urban runoff on receiving streams in total maximum daily load watersheds in Oregon using the Stochastic Empirical Loading and Dilution Model: U.S. Geological Survey Scientific Investigations Report 2019-5053, 116 p., https://doi.org/10.3133/sir20195053
This table includes Spearman correlation statistics for associations between pairs of analytes.
Aquatic invasive species are often transported between water bodies on boats or boat trailers, thus they are considered one of the primary vectors for new introductions of invasive species to a water body. This data set contains geographic positioning system locational data for boater access points, use data (i.e. recreational, fishing), water quality measurements (e.g. calcium concentrations, pH), risk assessment data, and other physical attributes (i.e. size, elevation) where available within the Columbia and Snake Rivers and throughout the Columbia River Basin. This work builds on an earlier body of work by Wells et al. 2011, Prioritizing Zebra and Quagga Mussel Monitoring in the Columbia River Basin (PDF link...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Boat ramps,
Columbia River,
Columbia River Basin,
Dreissenids,
access points,
The US Department of Interior’s (USDI) Bureau of Land Management (BLM) has a long history of soil and vegetation monitoring of public rangelands it manages. However, historical monitoring data have been stored and managed at the field, district, or state level, making them difficult to compile and analyze. BLM’s Soil Vegetation Inventory Method (hereafter SVIM) program occurred between 1977 and 1983 in Arizona, California, Colorado, Idaho, Montana, New Mexico, Nevada, Oregon, Utah, and Wyoming. Our objective was to extract and decode vegetation cover data from the SVIM dataset in a georeferenced, digital format. Vegetation cover data are available for 22,578 SVIM site write-up areas in nine states. The wide geographic...
Categories: Data;
Tags: BLM’s public Land Survey System Dataset (PLSS),
California,
Crosswalk,
Ecological monitoring,
Idaho,
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. These data represent the interpretations from borehole electric (resistivity) logs from oil and gas wells and lithologic logs from nearby water wells. These interpretations were used to build the hydrogeologic framework in the Williston structural basin. The resistivity logs were used to identify the hydrogeologic units (fig. 3A of SIR 2014-5047) and to quantify the vertical detailed lithology (thickness of sand, coal, gravel, silt,...
Nutrients, such as nitrogen and phosphorus, are essential for plant and animal growth and nourishment, but the overabundance of bioavailable nitrogen and phosphorus in water can cause adverse health and ecological effects. It is generally accepted that major increases in the primary production of surface-water bodies due to high inputs of nutrients is now the most important polluting effect in surface water in the developed world. The Fish Creek watershed is located along the southwestern margin of the city of Jackson Hole. Fish Creek is an important water body because it is used for irrigation, fishing, recreation, and adds scenic value to the Jackson Hole properties it flows through. Recent U.S. Geological Survey...
Grizzly bear recovery zones were established by the U.S. Fish and Wildlife Service in 1993 to delineate regions in the lower 48 states that have sufficient habitat to target recovery for five, and possibly six remnant grizzly bear populations. Recovery zones represent the five known populations in the lower 48 United States including the Northern Continental Divide, Greater Yellowstone, Cabinet-Yaak, Selkirk, and North Cascade populations. The bitterroot ecosystem in Idaho represents the possible sixth population. The grizzly bear once ranged across a large portion of western North America from northern Mexico to Alaska and across much of Canada. Current distribution in the lower 48 United States is reduced to less...
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Cabinet-Yaak,
Greater Yellowstone,
Idaho,
Montana,
Northern Cascades,
This dataset provides numbers of documented mortalities for independent aged ( ≥ 2-years-old) grizzly bears (Ursus arctos) from human and undetermined causes that occurred during 1998–2017 within 49-km2 (7- x 7-km) grid cells from the Greater Yellowstone (GYE) and Northern Continental Divide (NCDE) ecosystems of the western United States.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
Shapefile;
Tags: Greater Yellowstone Ecosystem,
Idaho,
Montana,
Northern Continental Divide Ecosystem,
United States,
This dataset is a compilation of data obtained from the Idaho Department of Water Quality, the Idaho Department of Water Resources, and the Water Quality Portal. The 'Samples' table stores information about individual groundwater samples, including what was being sampled, when it was sampled, the results of the sample, etc. This table is related to the 'MonitoringLocation' table (which contains information about the well being sampled).
Types: Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service;
Tags: environment,
farming,
geoscientificInformation,
health,
inlandWaters
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