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Found 4225 dataset(s) matching "Model Layers".
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As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to...
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As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to...
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As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to...
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As part of the Hurricane Sandy Science Plan, the U.S. Geological Survey is expanding National Assessment of Coastal Change Hazards and forecast products to coastal wetlands. The intent is to...
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Files uploaded to ScienceHub pair the model results in space and time to observations of NCAR NOy, NO, NO2 and O3, UC Berkeley NO2, peroxy nitrates, alkyl nitrates, and nitric acid, made aboard...
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The missing section grids describe geographic variations in erosion associated with unconformities in the 3D petroleum systems model. The grid values provide inputs for the model to restore layer...
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The U.S. Geological Survey (USGS), in cooperation with the Water Replenishment District of Southern California, developed a regional groundwater model of the Los Angeles Coastal Plain (LACP)...
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This product is part of the Landscape Change Monitoring System (LCMS) data suite. It is a summary of all annual fast loss into a single layer showing the year LCMS detected fast loss with the...
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<div style='text-align:Left;'><p><span>This product is part of the Landscape Change Monitoring System (LCMS) data suite. It is a summary of all annual fast loss into a single layer showing the...
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We developed a methodology to estimate maximum CO2 injection rates in subsurface layers across wide geographic areas using inverse modeling-based optimization techniques. We first defined...
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The resistance surface that formed the basis of our coastal marten connectivity model is comprised of several data layers that represent forested and non-forested land cover, waterbodies, rivers,...
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This data bundle contains the final outputs from a VisTrails/SAHM workflow to model the potential distribution of 5 rare plants (Aliciella formosa, Sclerocactus cloverae, Townsendia gypsophila,...
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The basis for these features is U.S. Geological Survey Scientific Investigation Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS...
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The basis for these features is U.S. Geological Survey Scientific Investigation Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS...
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The basis for these features is U.S. Geological Survey Scientific Investigation Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS...
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The basis for these features is U.S. Geological Survey Scientific Investigation Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS...
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The basis for these features is U.S. Geological Survey Scientific Investigation Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS...
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The basis for these features is U.S. Geological Survey Scientific Investigation Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS...
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The basis for these features is U.S. Geological Survey Scientific Investigation Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS...
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The basis for these features is U.S. Geological Survey Scientific Investigation Report 2017-5024 Flood Inundation Mapping Data for Johnson Creek near Sycamore, Oregon. The domain of the HEC-RAS...
