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This dataset contains csv files in support of the conclusions published in "Water use demand in Mediterranean California under multiple scenarios of developed and agricultural land use " in the journal PLOS One. We used the USGS's LUCAS model to examine a broad suite of spatially explicit future land use scenarios and their associated county-level water use demand, including the historical (1992-2011) and projected periods (2012-2062) across 40 Monte Carlo simulations.We examined a range of potential water demand futures sampled from a 20-year record of historical (1992-2012) data to develop a suite of potential future land change scenarios from 2012-2062. These scenario simulations include a 1) business-as-usual...
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This dataset contains stream-stage data for Santa Cruz River at Tumacácori Downstream Site (SC11). The pressure transducer was mounted to a metal post secured in the stream near the left bank. The data were recorded using non-vented Solinst Levelogger for the period of June 16, 2016 to June 24, 2016. The data were logged continuously at a 15-minute interval and manually downloaded. Data were then corrected with the atmospheric pressure collected from a Solinst Barologger located at SC14. The data was processed and analyzed for erroneous data.
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Staff from Alaska Earthquake Center, Geophysical Institute and Alaska Division of Geological & Geophysical Surveys evaluated potential tsunami hazards for the city of Sand Point, on Popof Island in the Shumagin Islands archipelago. We numerically modeled the extent of inundation from tsunami waves generated by local and distant earthquake sources. We considered the results in light of historical observations. The worst-case scenarios are defined by analyzing results of the sensitivity study of the tsunami dynamics with respect to different slip distributions along the Aleutian megathrust. For the Sand Point area, the worst-case scenarios are thought to be thrust earthquakes in the Shumagin Islands region with magnitudes...
An unsaturated-zone transport model was used to examine the transport and fate of metolachlor applied to an agricultural site in Maryland, USA. The study site was instrumented to collect data on soil-water content, soil-water potential, ground water levels, major ions, pesticides, and nutrients from the unsaturated zone during 2002-2004. The data set was enhanced with site-specific information describing weather, soils, and agricultural practices. The Root Zone Water Quality Model was used to simulate physical, chemical, and biological processes occurring in the unsaturated zone. Model calibration to bromide tracer concentrations indicated flow occurred through the soil matrix. Simulated recharge rates were within...
With the continuing increase in world population, and rising standard of living, more and more water will be necessary to satisfy basic human needs. The global picture with regard to water use and availability is very uneven, and the policy options for major sectoral uses -- rural and urban water supply, agricultural requirements and hydro-electric power generation are explored. The social and environmental implications of water development are briefly discussed. Finally, the question of the availability of adequate water to sustain future world population and development to the year 2000 is analysed. It is concluded that the major problem in the area of water-resources development is not one of the Malthusian spectre...
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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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Using predicted lake temperatures from uncalibrated, process-based models (PB0) and process-guided deep learning models (PGDL), this dataset summarized a collection of thermal metrics to characterize lake temperature impacts on fish habitat for 881 lakes. Included in the metrics are daily thermal optical habitat areas and a set of over 172 annual thermal metrics.
This dataset provides shapefile outlines of the 7,150 lakes that had temperature modeled as part of this study. The format is a shapefile for all lakes combined (.shp, .shx, .dbf, and .prj files). A csv file of lake metadata is also included. This dataset is part of a larger data release of lake temperature model inputs and outputs for 7,150 lakes in the U.S. states of Minnesota and Wisconsin (http://dx.doi.org/10.5066/P9CA6XP8).
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Soil erosion potential due to water based on the RUSLE soil loss equation. These data are provided by Bureau of Land Management (BLM) "as is" and may contain errors or omissions. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. The BLM should be cited as the data source in any products derived from these data.


map background search result map search result map USGS Land Cover - Woodland for Mississippi 20160519 State or Territory Shapefile Stream-stage Dataset at Santa Cruz River at Tumacacori Downstream Site, geographic NAD83 (Water Year 2016) Mediterranean California’s water use future based on scenarios of land use change 1992-2062 - Tabular Data Tsunami inundation maps for the city of Sand Point, Alaska USGS Land Cover - Woodland for Missouri 20180127 State or Territory Shapefile USGS Land Cover - Woodland for District of Columbia 20180810 State or Territory Shapefile USGS National Landcover - Woodland in Illinois 20191007 State or Territory Shapefile USGS National Landcover - Woodland in Minnesota 20190813 State or Territory FileGDB 10.1 USGS National Landcover - Woodland in New York 20190924 State or Territory FileGDB 10.1 USGS National Landcover - Woodland in North Dakota 20200716 State or Territory Shapefile USGS National Landcover - Woodland in Ohio 20191108 State or Territory FileGDB 10.1 USGS National Landcover - Woodland in Oklahoma 20190610 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for California 20181111 State or Territory FileGDB 10.1 BLM REA NGB 2011 Water Erosion Potential Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) USGS National Landcover - Woodland in Texas 20190613 State or Territory FileGDB 10.1 Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 2 Water temperature observations Tsunami inundation maps for the city of Sand Point, Alaska USGS Land Cover - Woodland for District of Columbia 20180810 State or Territory Shapefile USGS National Landcover - Woodland in Ohio 20191108 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Mississippi 20160519 State or Territory Shapefile USGS National Landcover - Woodland in North Dakota 20200716 State or Territory Shapefile USGS National Landcover - Woodland in Illinois 20191007 State or Territory Shapefile USGS National Landcover - Woodland in Oklahoma 20190610 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for Missouri 20180127 State or Territory Shapefile USGS National Landcover - Woodland in New York 20190924 State or Territory FileGDB 10.1 Walleye Thermal Optical Habitat Area (TOHA) of selected Minnesota lakes: 7 thermal and optical habitat estimates USGS National Landcover - Woodland in Minnesota 20190813 State or Territory FileGDB 10.1 USGS Land Cover - Woodland for California 20181111 State or Territory FileGDB 10.1 Mediterranean California’s water use future based on scenarios of land use change 1992-2062 - Tabular Data Predicting Water Temperature Dynamics of Unmonitored Lakes with Meta Transfer Learning: 2 Water temperature observations USGS National Landcover - Woodland in Texas 20190613 State or Territory FileGDB 10.1 Process-based water temperature predictions in the Midwest US: 1 Spatial data (GIS polygons for 7,150 lakes) BLM REA NGB 2011 Water Erosion Potential