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The data herein are geochemical (from X-Ray fluorescence spectrometry), grain size (percent clay, silt, sand), lithological (loss on ignition data), bathymetric, reconstructed IVT, and radioactive isotopes (14-C, 210-Pb, 226-Ra, and 137-Cs). These data were collected from sediments from Leonard Lake, Mendocino County, California, USA starting in 2014. Together, these data provide evidence for a record of extreme precipitation going back three millennia, showing regional pluvial and drought cycles.
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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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This data release contains U.S. Geological Survey (USGS) field survey data files for selected stream crossing locations in the Squannacook River Basin, north-central Massachusetts. The surveyed stream cross sections and culvert dimensions were used in developing U.S. Army Corps of Engineers (USACE) Hydrologic Engineering Center’s River Analysis System (HEC-RAS) hydraulic models. The data also include original survey notes, survey sketches, and photographs for each field survey conducted at stream crossing locations. The field survey documented and surveyed five stream cross sections for the upstream approach, upstream culvert face, top of road deck, downstream culvert face, and downstream exit. Global Navigation...
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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...
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This data release contains links to two child items containing hydrology and hydraulic modeling data and supplemental geospatial data for selected stream crossing sites in the Squannacook River Basin in north-central Massachusetts. The child item named “Hydraulic model data for selected stream crossing sites in the Squannacook River Basin, North-Central Massachusetts” contains U.S. Army Corps of Engineers’ Hydrologic Engineering Center River Analysis System (HEC-RAS) hydraulic model files along with field survey data associated with each stream crossing location. This data release also includes a data dictionary defining culvert designs, site locations, modeled flows and water surface elevations, and aquatic habitat...


    map background search result map search result map Hydraulic Models and Supplementary Data for Selected Stream Crossing Sites in the Squannacook River Basin, North-Central Massachusetts Survey Data for Hydraulic Models at Selected Stream Crossing Sites in the Squannacook River Basin, North-Central Massachusetts 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 Geochemical, grain size, lithological, bathymetric, reconstructed integrated vapor transport, and age model data for Leonard Lake, Mendocino County Hydraulic Models and Supplementary Data for Selected Stream Crossing Sites in the Squannacook River Basin, North-Central Massachusetts Survey Data for Hydraulic Models at Selected Stream Crossing Sites in the Squannacook River Basin, North-Central Massachusetts 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 Geochemical, grain size, lithological, bathymetric, reconstructed integrated vapor transport, and age model data for Leonard Lake, Mendocino County Streamflow Predictions (2006-2014) from LSTM Models in Water- and Energy-limited Regions in the United States