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Digital flood-inundation maps for an approximate 2.5-mile (mi) reach of the Clear Fork Mohican River that extends approximately from State Route 97 to the downstream corporate boundary for Bellville, Ohio, were created by the U.S. Geological Survey (USGS) in cooperation with the Muskingum Watershed Conservancy District. The flood-inundation maps show estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Clear Fork Mohican River at Bellville (station number 03131982). The maps can be accessed through the USGS Flood Inundation Mapping Science Web site at http://water.usgs.gov/osw/flood_inundation/. Near-real-time stages at this streamgage...
Categories: Data;
Tags: Clear Fork Mohican River,
Ohio,
Richland County,
Richland County, Ohio,
flood inundation mapping,
The depth grids show the depth of flooding on the Clear Fork Mohican River near Bellville, Ohio on local map backgrounds, based on stages of 9.0 ft to 17.0 ft at the USGS streamgage, Clear Fork Mohican River at Bellville, Ohio, 03131982.
Categories: Data;
Tags: Bellville,
Clear Fork Mohican River,
Ohio,
Richland County,
Richland County, Ohio,
These data were compiled to create models that estimate entrainment rates and population growth rates of smallmouth bass below Glen Canyon Dam. Objective(s) of our study were to predict smallmouth bass entrainment rates and population growth under different future scenarios of Lake Powell elevations and management. These data represent parameters needed for associated models and data needed to produce figures. These data were collected from publicly available online sources including published papers and federal government datasets. These data were assembled by researchers from U.S. Geological Survey, Utah State University, Colorado State University, U.S. Fish and Wildlife Service. These data can be used to run...
Probability map of Cheatgrass occurrence in relation to vegetation, abiotic, and anthropogenic features. 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.
Probability map of green-tailed towhee occurrence in relation to vegetation, abiotic, and anthropogenic features. 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.
Probability map of Halogeton occurrence in relation to vegetation, abiotic, and anthropogenic features. 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.
Globally, groundwater dependent ecosystems (GDEs) are increasingly vulnerable to groundwater extraction and land use practices. Groundwater supports these ecosystems by providing inflow, which can maintain water levels, water temperature, and chemistry necessary to sustain the biodiversity that they support. Many aquatic systems receive groundwater as a portion of base flow, and in some systems (e.g., springs, seeps, fens) the connection with groundwater is significant and important to the system’s integrity and persistence. Groundwater management decisions for human use may not consider ecological effects of those actions on GDEs, which rely on groundwater to maintain ecological function. This disconnect between...
Categories: Data;
Types: Downloadable,
GeoTIFF,
Map Service,
Raster;
Tags: Ecology,
Hydrology,
Land Use Change,
New England,
Remote Sensing,
Probability map of least chipmunk occurrence in relation to vegetation, abiotic, and anthropogenic features. 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 trapping effort and captures of deer mice at Point Reyes National Seashore, Marin County, California. Deer mice were captured and marked with ear tags to allow identification of individuals. The location of captures can be used in a spatially explicit capture recapture model to estimate density of mice and how mouse density varies by site and habitat type.
Categories: Data;
Types: Downloadable,
Map Service,
OGC WFS Layer,
OGC WMS Layer,
OGC WMS Service,
Shapefile;
Tags: California,
Ecology,
Marin County,
Point Reyes National Seashore,
USGS Science Data Catalog (SDC),
A previously published MODFLOW-NWT groundwater-flow model for the Rush Springs aquifer in western Oklahoma (using 1 steady state stress period followed by 444 monthly stress periods representing 1979-2015; Ellis, 2018a) was used as the basis of several groundwater-use scenarios. The model is a 3-layer model including the Cloud Chief formation (confining unit of the Rush Springs aquifer), alluvial and terrace deposits, and the Rush Springs aquifer. The scenarios were used to assess the effects of increasing groundwater withdrawals from the Rush Springs aquifer on base flows to streams that flow into Fort Cobb Reservoir to address concerns over groundwater use reducing inflows to the lake. The effects of groundwater...
Ecological models facilitate evaluation and assessment of alternative plans for restoring the Greater Everglades ecosystem. Modeling outputs were used in evaluations of alternative water control plans to be performed by the Combined Operational Plan (COP). The models used were: (1) Cape Sable Seaside Sparrow Marl Prairie Indicator in conjunction with (2) Cape Sable Seaside Sparrow Helper, (3) Florida apple snail (native) population model (EverSnail), (4) Wader Distribution Evaluation Modeling (WADEM), (5) Small-sized freshwater fish density, and (6) American alligator production probability (i.e., breeding potential). These ecological models are used to examine potential impacts on the above listed flora and fauna...
Ecological models facilitate evaluation and assessment of alternative plans for restoring the Greater Everglades ecosystem. Modeling outputs were used in evaluations of alternative water control plans to be performed by the Combined Operational Plan (COP). The models used were: (1) Cape Sable Seaside Sparrow Marl Prairie Indicator in conjunction with (2) Cape Sable Seaside Sparrow Helper, (3) Florida apple snail (native) population model (EverSnail), (4) Wader Distribution Evaluation Modeling (WADEM), (5) Small-sized freshwater fish density, and (6) Alligator production probability (i.e., habitat suitability index (HSI)). These ecological models are used to examine potential impacts on the above listed flora and...
This child item describes Python code used to estimate average yearly and monthly tourism per 1000 residents within public-supply water service areas. Increases in population due to tourism may impact amounts of water used by public-supply water systems. This data release contains model input datasets, Python code used to develop the tourism information, and output estimates of tourism. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Output from this code was used as an input feature in the public supply delivery and water use machine learning models. This page includes the following files: tourism_input_data.zip...
This child item describes a public supply delivery machine learning model that was developed to estimate public-supply deliveries. Publicly supplied water may be delivered to domestic users or to commercial, industrial, institutional, and irrigation (CII) users. This model predicts total, domestic, and CII per capita rates for public-supply water service areas within the conterminous United States for 2009-2020. This child item contains model input datasets, code used to build the delivery machine learning model, and national predictions. This dataset is part of a larger data release using machine learning to predict public-supply water use for 12-digit hydrologic units from 2000-2020. This page includes the following...
This child item describes Python code used to query census data from the TigerWeb Representational State Transfer (REST) services and the U.S. Census Bureau Application Programming Interface (API). These data were needed as input feature variables for a machine learning model to predict public supply water use for the conterminous United States. Census data were retrieved for public-supply water service areas, but the census data collector could be used to retrieve data for other areas of interest. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Data retrieved by the census data collector code were used as input...
This dataset is a comma separated file of agricultural fields, ponds, surface diversions and wells used to generate the Agricultural package (AG).
This section provides code for reproducing the figures in Rahmani et al. (2023b). The full model archive is organized into these four child items: 1. Model code - Python files and README for reproducing model training and evaluation 2. Inputs - Basin attributes and shapefiles, forcing data, and stream temperature observations 3. Simulations - Simulation descriptions, configurations, and outputs [THIS ITEM] 4. Figure code - Jupyter notebook to recreate the figures in Rahmani et al. (2023b) The publication associated with this model archive is: Rahmani, F., Appling, A.P., Feng, D., Lawson, K., and Shen, C. 2023b. Identifying structural priors in a hybrid differentiable model for stream water temperature modeling....
This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.
This data release is comprised of a set of eight time travel map shapefiles (two tsunami inundation zones and four travel times) for use in GIS software applications and two population exposure by travel time tables (residents and nonresidences) for use in GIS software applications and other standalone spreadsheet applications. The travel time map was generated using the Pedestrian Evacuation Analyst model (version 1.0.1 for ArcGIS 10.5) from the USGS (https://geography.wr.usgs.gov/science/vulnerability/tools.html). The travel time analysis uses ESRI's Path Distance tool to find the shortest distance across a cost surface from any point in the hazard zone to a safe zone. This cost analysis considers the direction...
Observed water temperatures from 1980-2019 were compiled for 2,332 lakes in the US. These data were used as training, test, and error-estimation data for process-guided deep learning models and the evaluation of process-based models. The data are formatted as a single csv (comma separated values) file with attributes corresponding to the unique combination of lake identifier, time, and depth. Data came from a variety of sources, including the Water Quality Portal, the North Temperate Lakes Long-Term Ecological Research Project, and digitized temperature records from the MN Department of Natural Resources. This dataset is part of a larger data release of lake temperature model inputs and outputs for these same lakes...
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