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SiteID-012 Brandywine Creek at SR-3062, near Coatesville, PA
These geospatial data were collected during the November 16, 2016 topographic and hydrographic survey of the West Branch Brandywine Creek at SR-3062, near Coatesville, PA. -
Geospatial Data for Bridge Scour Countermeasure Assessments at Select...
Scouring of streambed material surrounding bridge structures is a leading cause of bridge failure in the United States. Damages resulting from bridge failure oftentimes lead to... -
SiteID-012 Brandywine Creek at SR-3062, near Coatesville, PA
These geospatial data were collected during the November 16, 2016 topographic and hydrographic survey of the West Branch Brandywine Creek at SR-3062, near Coatesville, PA. -
Metabolism estimates for 356 U.S. rivers (2007-2017): 7. Model diagnostics
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, compressed into... -
1 Site Information: Deep learning approaches for improving prediction of...
<p>This data release component contains shapefiles of river basin polygons and monitoring site locations coincident with the outlets of those basins. A table of basin... -
Metabolism estimates for 356 U.S. rivers (2007-2017): 5. Model configurations
This dataset provides model specifications used to estimate metabolism. The format is a table with 1 row per model (1 tab-delimited file, compressed into zip file). The specific... -
Exploring the exceptional performance of a deep learning stream temperature...
<p>This data release component contains model code and configurations for the LSTM and linear regression models used to predict stream temperature.</p> -
Exploring the exceptional performance of a deep learning stream temperature...
<p>This data release component contains mean daily stream water temperature observations, retrieved from the USGS National Water Information System (NWIS) and used to... -
Deep learning approaches for improving prediction of daily stream...
<p>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... -
Metabolism estimates for 356 U.S. rivers (2007-2017): 4. Model inputs
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 zip file... -
Faults of the Caribbean Region (flt6bg)
This dataset describes faults and structural features of the Caribbean region (Anguilla, Antigua and Barbuda, Aruba, Bahamas, Barbados, Belize, British Virgin Islands, Cayman... -
Daily surface temperature predictions for 185,549 U.S. lakes with associated...
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 memory deep... -
Predicting water temperature in the Delaware River Basin: 1 Waterbody...
This dataset provides one shapefile of polylines for the 456 river segments in this study, and one shapefile of reservoir polygons for the Pepacton and Cannonsville reservoirs. -
Model predictions for heterogeneous stream-reservoir graph networks with...
<p>This data release provides the predictions from stream temperature models described in Chen et al. 2021. Briefly, various deep learning and process-guided deep learning... -
Metabolism estimates for 356 U.S. rivers (2007-2017): 4. Model inputs
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 zip file... -
Particle Size Analysis for Bridge Scour Countermeasure Assessments at Select...
These data are supplemental rip-rap gradation data (Wolman Pebble Count) in text (.txt) format, collected during 2014-2018 field seasons for select bridges in the United States.... -
4 Model Code: Deep learning approaches for improving prediction of daily...
<p>This data release component contains model code and configurations for the LSTM models used to predict stream temperature.</p> -
4 Model Code: Deep learning approaches for improving prediction of daily...
<p>This data release component contains model code and configurations for the LSTM models used to predict stream temperature.</p> -
Exploring the exceptional performance of a deep learning stream temperature...
<p>This data release component contains model inputs including river basin attributes, weather forcing data, and simulated and observed river discharge.</p> -
Exploring the exceptional performance of a deep learning stream temperature...
<p>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 GAGES-...