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Minerals Yearbook, volume III, Area Reports — International: 2019 country chapters, table 1, production of mineral commodities Minerals Yearbook, volume III, Area Reports — International: 2019 country chapters, table 1, production of mineral commodities
This data release contains the compilation of country level mineral commodity production data extracted from Table 1 within all published 2019 international chapters in the U.S. Geological Survey's annual publication Minerals Yearbook Volume III: Area Reports — International. Individual Minerals Yearbook country chapters are published independently from the complete volume as "Advanced...
MITRE WaterSHEDs PFAS vulnerability model output for Upper Colorado River Basin at 1 km, 9 km, and 100 km hexagonal tessellations MITRE WaterSHEDs PFAS vulnerability model output for Upper Colorado River Basin at 1 km, 9 km, and 100 km hexagonal tessellations
Per- and polyfluoroalkyl substances (PFAS) in the aquatic environment present a water resource management challenge, in part due to the geospatial distribution of presumptive sources and their connections to the hydrological network. MITRE developed a geospatial model called Water Sensing and Hydrology for Environmental Decision Support (WaterSHEDS) that assigns stream-vulnerability...
Model and Data Resources Supporting Water-Quality Modeling of Hydrologic Systems Model and Data Resources Supporting Water-Quality Modeling of Hydrologic Systems
This dataset provides detailed information on availability of model resources (including models and datasets) that support the modeling of six key water-quality constituents (or constituent categories) across the hydrologic system. In addition, resources associated with nine “cross-cutting” topics for modeling water quality are included, with “cross-cutting” defined herein as having...
Model application and calibration load data for seasonally dynamic total nitrogen and total phosphorus SPARROW models developed for watersheds draining to Washington waters of the Salish Sea, 2005 through 2020 Model application and calibration load data for seasonally dynamic total nitrogen and total phosphorus SPARROW models developed for watersheds draining to Washington waters of the Salish Sea, 2005 through 2020
This data release contains two data sets: 1) the model application data for a set of dynamic total nitrogen (TN) and total phosphorus (TP) SPARROW (SPAtially Referenced Regression On Watershed attributes; Schwarz and others, 2006, https://doi.org/10.3133/tm6B3) load models that were developed for watersheds draining to Washington waters of the Salish Sea (Puget Sound region) 2005 through...
Model application data for co-developed surface watershed and groundwater hydrologic models for the Upper Colorado River Basin Model application data for co-developed surface watershed and groundwater hydrologic models for the Upper Colorado River Basin
Co-developed surface and subsurface hydrologic models for the Upper Colorado River Basin and the Colorado Plateaus principal aquifer system were used to investigate the drivers of change in hydrologic water budget components during contrasting recent wet (1982–1999) and drought (2000–2022) time periods in select headwater subregions of the Upper Colorado River Basin. The hydrologic...
Model application data release for a 2D hydraulic model (HEC-RAS) of the Kalamazoo River Trowbridge Dam to Allegan City Dam reach Model application data release for a 2D hydraulic model (HEC-RAS) of the Kalamazoo River Trowbridge Dam to Allegan City Dam reach
A 2D HEC-RAS hydraulic model was developed to simulate flow velocities and shear stresses within a reach of the Kalamazoo River in southeastern Michigan from the Trowbridge Dam to the Allegan City Dam. The development of the 2D HEC-RAS model is described in the associated U.S. Geological Survey Scientific Investigations Report 2025-XXXX. This model archive contains all the files needed...
Model application: modeling lake ice phenology in Minnesota, 1980-2018 Model application: modeling lake ice phenology in Minnesota, 1980-2018
Globally, lakes are losing ice cover, but our understanding of the rates and variability of change are biased towards few lakes with long-term records. Recent works have used remote sensing and predictive modeling to supplement the observational record, but these approaches produce large errors when estimating ice phenology for individual lakes. Our associated manuscript explores machine...
Model Archive - Statistical analysis of the influence of conservation implementation on water quality during surface runoff events at edge-of-field monitoring sites located in the Laurentian Great Lakes Basin, 2012 to 2021 Model Archive - Statistical analysis of the influence of conservation implementation on water quality during surface runoff events at edge-of-field monitoring sites located in the Laurentian Great Lakes Basin, 2012 to 2021
This is an archive of model code used in statistical analysis of the influence of conservation implementation on water quality during surface runoff events at edge-of-field monitoring sites located in the Laurentian Great Lakes Basin, using data collected from 2012 to 2021. The workflow includes two types of analysis: 1) analysis of covariance (ANCOVA) for paired sites and 2) generalized...
Model archive summary and suspended-sediment concentrations from a surrogate ordinary least square regression analysis for station 05517500, Kankakee River at Dunns Bridge, Indiana, April 2016 through July 2020 Model archive summary and suspended-sediment concentrations from a surrogate ordinary least square regression analysis for station 05517500, Kankakee River at Dunns Bridge, Indiana, April 2016 through July 2020
Sediment accumulation and transport negatively affect flood control, water supply, aquatic life, reclamation, and recreation (Angino and O’Brien, 1968) and are concerns of resource managers in the Kankakee River Basin of northern Indiana and throughout many regions of the United States. By relating continuously monitored water-quality data to discrete data collected from April 2016...
Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at U.S. Geological Survey Station 11455420; Sacramento River at Rio Vista, California (2020 - 2023) Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at U.S. Geological Survey Station 11455420; Sacramento River at Rio Vista, California (2020 - 2023)
Continuous 15-minute time-series suspended-sediment concentration (SSC) data computed from California Department of Water Resources (CDWR) instream turbidity data with a YSI EXO multi-parameter water quality sonde. A Model Archive Summary (MAS) describes the development of a continuous 15-minute SSC time-series regression model.
Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS station 11313405 Old River at Bacon Island, CA (2010-2019) Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS station 11313405 Old River at Bacon Island, CA (2010-2019)
Continuous 15-minute time-series suspended-sediment concentration data computed from instream turbidity data. Turbidty data is managed by California Department of Water Resources (CDWR) using a YSI 6-series multi-parameter water quality sonde. Complete methods for turbidity data collection are described in attached methods document.
Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS station 11337080 Threemile Slough near Rio Vista, CA (2015-2019) Model Archive Summary and Time-Series Suspended-Sediment Concentrations Computed from a Surrogate Turbidity Regression at USGS station 11337080 Threemile Slough near Rio Vista, CA (2015-2019)
Continuous 15-minute time-series suspended-sediment concentration data computed from instream turbidity data. Turbidity data is managed by California Department of Water Resources (CDWR) using a YSI EXO multi-parameter water quality sonde. Complete methods for turbidity data collection are described in attached methods document.