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Federal
2 Observations: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
Department of the Interior —
This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to... -
Federal
Archive of Datasonics SIS-1000 Chirp Subbottom Data Collected During USGS Cruise MGNM 00014, Central South Carolina, 13-30 March 2000
Department of the Interior —
This CD-ROM contains digital high resolution seismic reflection data collected during the USGS MGNM 00014 cruise. The coverage is the nearshore of central South... -
Federal
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data
Department of the Interior —
This data release provides all data and code used in Rahmani et al. (2020) to model stream temperature and assess results. Briefly, we used a subset of the USGS... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 2b. Site catchment boundaries
Department of the Interior —
This dataset provides shapefile outlines of the catchments contributing to sites where metabolism was or could have been estimated. The format is a shapefile for all... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 2a. Site coordinates
Department of the Interior —
This dataset provides site locations as shapefile points. The format is a shapefile for all sites combined (.shp, .shx, .dbf, and .prj files). This dataset is part of... -
Federal
Daily surface temperature predictions for 185,549 U.S. lakes with associated observations and meteorological conditions (1980-2020)
Department of the Interior —
Daily lake surface temperatures estimates for 185,549 lakes across the contiguous United States from 1980 to 2020 generated using an entity-aware long short-term... -
Federal
5 Model Predictions: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
Department of the Interior —
This data release item contains water temperature predictions for 455 river sites across the U.S. Predictions are from the models described by Rahmani et al. (2021b). -
Federal
4 Model Code: Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
Department of the Interior —
This data release component contains model code and configurations for the LSTM models used to predict stream temperature. -
Federal
Digital Shoreline Analysis System version 4.3 Transects with Long-Term Linear Regression Rate Calculations for South Carolina (SC)
Department of the Interior —
Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the... -
Federal
Digital Shoreline Analysis System version 4.3 Transects with Short-Term End Point Rate Calculations for South Carolina (SC)
Department of the Interior —
Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the... -
Federal
Uncertainty table for lidar-derived shorelines used when calculating rates in the Digital Shoreline Analysis System software for South Carolina (SC)
Department of the Interior —
Sandy ocean beaches are a popular recreational destination, often surrounded by communities containing valuable real estate. Development is on the rise despite the... -
Federal
SiteID-029 Black River at US-52, at Kingstree, SC
Department of the Interior —
These geospatial data were collected during the September 20-21, 2016, topographic and hydrographic survey of Black River in the vicinity of U.S. Highway 52 at... -
Federal
Airborne geophysical survey: South Carolina-Georgia Border, South Carolina
Department of the Interior —
Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field values and locations. This dataset presents latitude,... -
Federal
Estimated Surface-Water Withdrawals for the Coastal Carolinas Focus Area Study by Soil Water Assessment Tool Model Catchment Area, Year, and Water-Use Category, 1983 - 2017
Department of the Interior —
The Cape Fear and Pee Dee River Basins in North Carolina and South Carolina were chosen as a focus area study (FAS) for the U.S. Geological Survey (USGS) National... -
Federal
Estimated Wastewater Returns for the Coastal Carolinas Focus Area Study by Soil Water Assessment Tool Model Catchment Area, 2000, 2005, 2010, and 2015
Department of the Interior —
The Pee Dee and Cape Fear River Basins in North Carolina and South Carolina were chosen as a focus area study (FAS) for the U.S. Geological Survey (USGS) National... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 8. Metabolism estimates and predictors
Department of the Interior —
This dataset provides daily metabolism estimates and potential predictor variables to support further exploration. The format is a table with 1 row per site-date... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 6. Model outputs
Department of the Interior —
This dataset provides complete fits from metabolism estimation models. The format is 5 files per model (text and tab-delimited files, packaged as 1 zip file per... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 7. Model diagnostics
Department of the Interior —
This dataset provides key diagnostics and overall assessments of metabolism model performance. The format is a table with 1 row per model (1 tab-delimited file,... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 4. Model inputs
Department of the Interior —
This dataset provides input data formatted for use in estimating metabolism. The format is tables of prepared time series inputs (1 tab-delimited file per site, in 1... -
Federal
Metabolism estimates for 356 U.S. rivers (2007-2017): 1. Site data
Department of the Interior —
This dataset provides site identifiers, details, and quality indicators. The format is a table with 1 row per site (tab-delimited file). This dataset is part of a...