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These data were used for preparation of Sargeant et al. (2021), "Spatial network clustering reveals elk population structure and local variation in the prevalence of chronic wasting disease." They include locations of elk that were monitored with global positioning system collars at Wind Cave National Park, South Dakota (WICA) during 2005--08 and 2011--13; coordinates of a polygon describing the boundary of WICA; and results of tests for chronic wasting disease for elk culled at WICA during 2016--18.
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines (England and others, 2019). The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, and the Powder River Basin, based on data through water year 2022, using methods described by Sando and McCarthy (2018).
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This data release contains the inputs and outputs from the development of Escherichia coli (E. coli) concentration models for the four Missouri River sites near Omaha, Nebraska. Model development, models, and results are published in the associated U.S. Geological Survey (USGS) report Densmore and others, 2020. Load Estimator models (LOADEST) (Runkel and others, 2004) were developed from the first 5 years of data (July 2012–September 2016). Sites include Missouri River at NP Dodge Park at Omaha, Nebr. (USGS Site ID 412126095565201), Missouri River at Freedom Park Omaha, Nebr. (USGS Site ID 411636095535104), Missouri River near Council Bluffs, Iowa (USGS Site ID 06610505), and Missouri River near La Platte, Nebr....
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This habitat model was developed to delineate suitable habitat for coastal cactus wren (Campylorhynchus brunneicapillus) in southern California. A primary purpose of the model is to identify potential restoration sites that may not currently support cactus patches required by wrens, but which are otherwise highly suitable. These are areas that could be planted with cactus to increase wren populations, an important management objective for many land managers. We used the Partitioned Mahalanobis D2 modeling technique to construct alternative models with different combinations of environmental variables. Variables were calculated at each point in the center of a 150 m x 150 m cell in a grid of points across the landscape....
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This habitat model was developed to delineate a sampling frame for regional monitoring of coastal California gnatcatchers (Polioptila californica californica) to determine: 1) percent area occupied (PAO) in high and very high suitability habitat across conserved lands and participating military lands in the U.S. range in southern California; 2) changes in PAO over time; and 3) extinction and colonization rates. One purpose of the model is to identify areas recovering from disturbance, such as wildfire, that may not currently support coastal sage scrub vegetation used by coastal California gnatcatchers, but are otherwise highly suitable. In this way, we can monitor gnatcatcher occupancy associated with habitat changes...
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This data product consists of a database of population change and abundance estimates for North American birds, estimated from North American Breeding Bird Survey (BBS) data. Data are presented for 548 species of birds in 4 spreadsheets containing trend estimates and annual indices for 2 time periods. Estimates are derived for each species using the 1 of 4 alternative models, and a cross-validation model selection procedure was used to select the best model for each species. Metadata for the BBS data used to produce these estimates is available from a USGS ftp site (ftp://ftpext.usgs.gov/pub/er/md/laurel/BBS/DataFiles/). Metadata associated with this data product provides information specific to the analysis results.
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A dataset consisting of the documented year of first arrival of Pseudogymnoascus destructans (Pd) at 596 locations across North America was used to fit a Gaussian process model. The model allows prediction of the year of first arrival of Pd at arbitrary locations. The included dataset consists of these predictions which span the North American continent.
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The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 66.7-, 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected USGS streamgages. This data release presents peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022, using methods described by Sando and McCarthy (2018).
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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. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals 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 lidar datasets obtained from NOAA's Ocean Service, Coastal Services Center. This 2018 update includes two new mean high water (MHW) shorelines for...
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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. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals 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 from NOAA's Ocean Service, Coastal Services Center. This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts...
The USGS Wyoming-Montana Water Science Center (WY–MT WSC) completed a report (Sando and McCarthy, 2018) documenting methods for peak-flow frequency analysis following implementation of the Bulletin 17C guidelines. The methods are used to provide estimates of peak-flow quantiles for 50-, 42.9-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs) for selected streamgages operated by the WY–MT WSC. This data release presents peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, that were based on methods described by Sando and McCarthy (2018).
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The U.S. Geological Survey's (USGS) SPAtially Referenced Regression On Watershed attributes (SPARROW) model was used to estimate baseflow changes from historical (1984 - 2012) to thirty-year periods centered around 2030, 2050, and 2080 under warm/wet, median, and hot/dry climatic conditions. SPARROW is a spatially explicit hybrid statistical and process-based model that estimates mean baseflow over the simulation period in streams by linking monitoring data with information on watershed characteristics and baseflow sources, routed through a stream network. This USGS data release includes input and output files associated with SPARROW simulations of baseflow for 10 model runs. Model construction, calibration and...
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The magnitude and frequency of floods at 91 rural, unregulated streamgages in Puerto Rico were updated using annual peak-flows through 2017. The USGS program PeakFQ version 7.3 (U.S. Geological Survey, 2019) was used to estimate the parameters of the Log-Pearson Type III distribution using updated methods outlined in Bulletin 17C (England and others, 2018) and regional skew of 0.28 and a mean-squared error of 0.20. This data release includes (1) a spreadsheet file showing streamgage information, perception thresholds, and intervals used in PeakFQ; (2) raw input files (.txt) and spec file (.psf) loaded into PeakFQ; and (3) output files (.PRT) from PeakFQ showing the magnitude and frequency peak-flow estimates, as...
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The dataset documents the spatial and temporal variability of nutrients and related water quality parameters at high spatial resolution in the North Delta, Central Delta, and the Western Delta out to Suisun Bay in the Sacramento-San Joaquin River Delta of California, USA. The dataset includes nitrate, ammonium, phosphate, dissolved organic carbon, temperature, conductivity, dissolved oxygen, and chlorophyll as well as information about phytoplankton community composition. Data-collection cruises were conducted under three different environmental/flow conditions in May, July, and October of 2018. The data release consists of a xml document, 13 text/csv documents, and a zip file. Descriptions for each document and...
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This part of the data release contains the water-level measurement data compiled and synthesized from various sources. This collection includes two tables that contain all the water-level measurements that were considered to develop the water-level altitude maps (Input_VisGWDB), and a table of median water-level data that were used to develop the water-level altitude maps (MedianWaterLevelData). These digital data accompany Houston, N.A., Thomas, J.V., Foster, L.K., Pedraza, D.E., and Welborn, T.L., 2020, Hydrogeologic framework, groundwater-level Altitudes, groundwater-level changes, and groundwater-storage changes in selected alluvial basins of the upper Rio Grande Focus Area Study, Colorado, New Mexico, and...
Categories: Data; Types: Map Service, OGC WFS Layer, OGC WMS Layer, OGC WMS Service; Tags: Abiquiu Reservoir, Ahumada, Alamosa, Alamosa County, Alamosa Creek, All tags...
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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. The shoreline position and change rate are used to inform management decisions regarding the erosion of coastal resources. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals 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 from NOAA's Ocean Service, Coastal Services Center. This 2018 update includes two new mean high water (MHW) shorelines for the Massachusetts...
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This metadata record describes model outputs and supporting model code for the Data-Driven Drought Prediction project of the Water Resources Mission Area Drought Program. The data listed here include outputs of multiple machine learning model types for predicting hydrological drought at select locations within the conterminous United States. The child items referenced below correspond to different models and spatial extents (Colorado River Basin region or conterminous United States). See the list below or metadata files in each sub-folder for more details. Daily streamflow percentile predictions for the Colorado River Basin region — Outputs from long short-term memory (LSTM) deep learning models corresponding to...


map background search result map search result map 2011 profile-derived mean high water shorelines of the Outer Cape of MA used in shoreline change analysis Modeling Escherichia coli in the Missouri River near Omaha, Nebraska, 2012-16: Model Inputs and Outputs Assessing spatial variability of nutrients and related water quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2018 High resolution mapping surveys (ver. 2.0, October 2023) Groundwater-level measurement data used to develop water-level altitude maps in the upper Rio Grande alluvial basins Supporting data: Spatial network clustering reveals elk population structure and local variation in prevalence of chronic wasting disease at Wind Cave National Park, 2005--18 Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for the south shore of Martha's Vineyard, MA Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for the north shore of Nantucket, MA Coastal Cactus Wren Habitat Suitability Model for Southern California (2015) Coastal California Gnatcatcher Habitat Suitability Model for Southern California (2015) At-site Flood Frequency PeakFQ Estimates in Puerto Rico Through Water Year 2017 Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin Montana, based on data through water year 2018, Part 1 PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Gaussian Process Model Predictions for the Spread of White-Nose Syndrome across North America SPARROW model inputs and simulated future baseflow for streams of the Upper Colorado River Basin PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States Results of peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022 Results of peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, and the Powder River Basin, Montana, based on data through water year 2022 Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for the north shore of Nantucket, MA Supporting data: Spatial network clustering reveals elk population structure and local variation in prevalence of chronic wasting disease at Wind Cave National Park, 2005--18 Assessing spatial variability of nutrients and related water quality constituents in the California Sacramento-San Joaquin Delta at the landscape scale: 2018 High resolution mapping surveys (ver. 2.0, October 2023) At-site Flood Frequency PeakFQ Estimates in Puerto Rico Through Water Year 2017 PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages on tributaries of the Bighorn, Tongue, and Lower Yellowstone Rivers, based on data through water year 2021 Results of peak-flow frequency analyses for selected streamgages in the Upper Yellowstone River Basin, based on data through water year 2022 Results of peak-flow frequency analyses for selected streamgages in Carter, Custer, Fallon, Powder River, and Prairie Counties, and the Powder River Basin, Montana, based on data through water year 2022 PeakFQ version 7.4 specifications file for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, part 2 Coastal Cactus Wren Habitat Suitability Model for Southern California (2015) Coastal California Gnatcatcher Habitat Suitability Model for Southern California (2015) Peak-flow frequency analyses for selected streamgages in and near the Milk River Basin, Montana, based on data through water year 2018, Part 1 PeakFQ version 7.3 specifications file for peak-flow frequency analyses for selected streamgages in and near the Milk River Basin Montana, based on data through water year 2018, Part 1 Groundwater-level measurement data used to develop water-level altitude maps in the upper Rio Grande alluvial basins SPARROW model inputs and simulated future baseflow for streams of the Upper Colorado River Basin Data-Driven Drought Prediction Project Model Outputs for Select Spatial Units within the Conterminous United States In Support of the U.S. Fish and Wildlife Service 3-Bat Species Status Assessment: Gaussian Process Model Predictions for the Spread of White-Nose Syndrome across North America