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In August 2017, the U.S. Geological Survey acquired high-resolution P- and S-wave seismic data near six Southern California Seismic Network (SCSN) recording stations in southern California: CI.OLI Olinda; CI.SRN Serrano; CI.MUR Murrieta; CI.LCG La Cienega; CI.RUS Rush; and CI.STC Santa Clara (Figure 1). These strong-motion recording stations are located inside Southern California Edison electrical substations, critical infrastructures that provide essential services to millions of customers. The primary goals of the seismic survey were to understand the potential for amplified ground shaking and to evaluate lateral variability in shear-wave velocity at these sites. We deployed up to 88 geophones at 2-m or 4-m...
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The data set includes the daily streamflow predictions from (Long Short-Term Memory) LSTM models for 45 basins (27 basins in New England region and 18 basins in Great Basin region) in contrasting hydroclimate regions (water-limited Great Basin region and energy-limited New England region) in the United States. Also, the shapefiles of study basins and hydroclimate regions, and data to support the statistical results, figures, and tables are included.
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Results from Generalized Additive models (GAM), Random Forest models (RFM), and Cubist models (CUB) for three Dauphin Island Sealab (DIS) operated salinity sites in Mobile Bay are reported in this data release. These sites included Meaher Park (DIS:MHPA1), Middle Bay Lighthouse (DIS:MBLA1), and Dauphin Island (DIS:DPIA1). The constructed models predicted a 40-year daily salinity record from 1980 to 2021 at each site based on incomplete imputed salinity records and several explanatory variables. Explanatory variables included: daily streamflow from 8 United States Geological Survey (USGS) streamgages, daily minimum and maximum temperature, precipitation, vapor pressure, wind speed, wind direction, horizontal and...


    map background search result map search result map High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017 Modeled daily salinity derived from multiple machine learning methodologies and Generalized Additive models for three salinity monitoring sites in Mobile Bay, northern Gulf of Mexico, 1980–2021 Streamflow Predictions (2006-2014) from LSTM Models in Water- and Energy-limited Regions in the United States Modeled daily salinity derived from multiple machine learning methodologies and Generalized Additive models for three salinity monitoring sites in Mobile Bay, northern Gulf of Mexico, 1980–2021 High-resolution seismic data acquired at six Southern California Seismic Network (SCSN) recording stations in 2017 Streamflow Predictions (2006-2014) from LSTM Models in Water- and Energy-limited Regions in the United States