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Federal
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 1 Spatial information
Department of the Interior —
This data release component contains a shapefile of monitoring site locations coincident with the outlets of the 118 river basins modeled by Rahmani et al. (2020). -
Federal
BLM ES Administrative Unit Office Points
Department of the Interior —
This feature-dataset depicts Bureau of Land Management (BLM) office locations. The land areas for higher level administrative units (district and administrative... -
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... -
Federal
Exploring the exceptional performance of a deep learning stream temperature model and the value of streamflow data: 4 Models
Department of the Interior —
This data release component contains model code and configurations for the LSTM and linear regression models used to predict stream temperature. -
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
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
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
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
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
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
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... -
Federal
3 Model Forcings: 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 inputs including river basin attributes, weather forcing data, and simulated and observed river discharge. -
Federal
BLM ES Administrative Unit Office Arc
Department of the Interior —
This polyline feature class represents the spatial extent of active Bureau of Land Management (BLM) Administrative Unit Boundaries at the State, District, and Field... -
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
Cowpens National Battlefield Small-Scale Base GIS Data
Department of the Interior —
This data set contains small-scale base GIS data layers compiled by the National Park Service Servicewide Inventory and Monitoring Program and Water Resources... -
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 Water Use by Select Subbasin and State (HUC8/State) in the Pee Dee, Cape Fear, and Neuse-Pamlico River Basins; 2000, 2005, 2010, and 2015
Department of the Interior —
The coastal region which includes areas within South Carolina and North Carolina was chosen as a focus area study (FAS) for the U.S. Geological Survey (USGS) National... -
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
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
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...