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Federal
SiteID-028 Smith Branch at S-126, at Columbia, SC
Department of the Interior —
These geospatial data were collected during the September 22, 2016, topographic and hydrographic survey of Smith Branch at S-126, at Columbia, SC. -
Federal
Offshore baseline for the South Carolina (SC) coastal region generated to calculate shoreline change rates
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
Geospatial Data for Bridge Scour Countermeasure Assessments at Select Bridges in the United States, 2016–18
Department of the Interior —
Scouring of streambed material surrounding bridge structures is a leading cause of bridge failure in the United States. Damages resulting from bridge failure... -
Federal
Estimated Groundwater Withdrawals for the Coastal Carolinas Focus Area Study by MODFLOW Model-Cell Area, Year, and Water-Use Category, 1974 - 2015
Department of the Interior —
The coastal region which includes areas within the Pee Dee, Cape Fear, and Neuse-Pamlico River Basins in South Carolina and North Carolina was chosen as a focus area... -
Federal
USGS Cruise 96005 Sidescan Sonar Data Files
Department of the Interior —
This CD-ROM contains copies of the navigation and field sidescan sonar data collected during USGS Cruise 96005, conducted during 1 -14 June, 1996. The cruise was a... -
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
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
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
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
Deep learning approaches for improving prediction of daily stream temperature in data-scarce, unmonitored, and dammed basins
Department of the Interior —
This data release provides all data and code used in Rahmani et al. (2021b) to model stream temperature and assess results. Briefly, we modeled stream temperature at... -
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
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
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
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 5 Model predictions
Department of the Interior —
This data release component contains water temperature predictions in 118 river catchments across the U.S. Predictions are from the four models described by Rahmani... -
Federal
Shorelines of the South Carolina (SC) coastal region used in shoreline change analysis
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
Airborne geophysical survey: Southern South Carolina, 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
Metabolism estimates for 356 U.S. rivers (2007-2017): 3. Timeseries data
Department of the Interior —
This dataset provides timeseries data on water quality and quantity, as collected or computed from outside sources. The format is many tables with one row per time... -
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
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 6 Model evaluation
Department of the Interior —
This data release component contains evaluation metrics used to assess the predictive performance of each stream temperature model. For further description, see the...