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Digital datasets were used to develop basin characteristics values that are used in multiple regression equations and tested for the use in predicting flow-duration curves (FDCs) in ungaged areas of Indiana. Several basin characteristics are easily derived from StreamStats basin delineations, such as basin area (https://streamstats.usgs.gov/ss/). Other basin characteristics require ancillary datasets as input. The data provided through this data release are those data that have been collected, tested, and ultimately selected as a basis for FDC development. These include PRISM 3-Month Average Precipitation, Thickness and Coarseness of Quaternary Sediments, and Soil Available Water Capacity. There are 6 continuous...
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The Arizona Bureau of Mines (and later the Arizona Bureau of Geology and Mineral Technology and the Arizona Geological Survey) maintained a significant collection of primary data on mining districts, deposits, and prospects across Arizona. Some of this data has previously been utilized to contribute to earlier efforts by the U.S. Geological Survey to develop the Computerized Resources Information Bank (CRIB) as a centralized repository of organizing and summarizing data on mineral resources in the 1970’s. However, the primary data sources have previously only been available in person at the Arizona Geological Survey offices. Following the transfer of the Arizona Geological Survey to the University of Arizona in...
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This model archive contains the input data, model code, and model outputs for machine learning models that predict daily non-tidal stream salinity (specific conductance) for a network of 459 modeled stream segements across the Delaware River Basin (DRB). Results are provided for two time periods: the historical drought-of-record from 1965-10-02 to 1969-12-30, and that same drought evaluated in climatic conditions that are consistent with a LENS2 enseble climate projection from 2057-10-02 to 2061-12-30. Results are provided for a total of three Random Forest models, corresponding to three input attribute sets (dynamic attributes, dynamic and static attributes, and dynamic attributes and a minimum set of static attributes)....
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The USGS’s FORE-SCE model was used to produce land-use and land-cover (LULC) projections for the conterminous United States. The projections were originally created as part of the "LandCarbon" project, an effort to understand biological carbon sequestration potential in the United States. However, the projections are being used for a wide variety of purposes, including analyses of the effects of landscape change on biodiversity, water quality, and regional weather and climate. The year 1992 served as the baseline for the landscape modeling. The 1992 to 2005 period was considered the historical baseline, with datasets such as the National Land Cover Database (NLCD), USGS Land Cover Trends, and US Department of Agriculture's...
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States' coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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A reach of the North Santiam River, Oregon, was used as a case study in an ongoing effort to develop and test uncrewed aircraft system (UAS)-based salmon habitat mapping techniques using: (1) particle image velocimetry (PIV) for estimating surface flow velocities from remotely sensed data; and (2) two-dimensional (2D) flow modeling based on remotely sensed topography and bathymetry (topo-bathymetry). Direct measurements of flow velocity were obtained using an acoustic Doppler current profiler (ADCP) and used to assess the accuracy of the image-derived velocity estimates and modeled flow fields. Water depth was measured using a single beam echosounder and was used to calibrate and validate image-derived depth estimates...
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This digital dataset contains groundwater level observations for 364 wells, in addition to well construction information, from 1916 to 2014 in the Central Valley, California. Groundwater level observations are used to create groundwater level contours and to calibrate the groundwater levels for the updated Central Valley Hydrologic Model (CVHM2). Groundwater level observations were collected from five sources (USGS, 2018; SLDMWA, 2018; CADWR, 2004; CRNA, 2018).
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This data release provides geochemical, sedimentological, and geochronological data from interbedded fluvial and marsh deposits and radiocarbon dates of the section spanning the last 1500 years from the Pallett Creek paleoseismic site, California. The samples were collected to support paleoenvironmental reconstruction of the site and refine several previous investigations of paleoearthquakes along the San Andreas Fault (Sieh, 1978; Sieh, 1984; Sieh et al., 1989; Biasi and Weldon, 1994; Scharer et al., 2011). Geochemical and sedimentological data include grain size, magnetic susceptibility, dry bulk density, percent total organic matter, and percent total carbonate at contiguous 1 cm spacing and carbon (total C)...
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Arizona’s long history of exploration and mining has resulted in the development of mineral resources across the state. By convention, individual prospects, deposits, and mines into mining districts as an organizational framework to refer to prospective areas for economic mineralization. However, there are no strict definitions of what constitute a mining district other than evidence of mineral potential. Thus, mining districts reflect areas with known mineralization, have diffuse boundaries, and may change over time as new discoveries are made. Mining districts provide a useful framework for both geologists and hobbyists for organizing information, with the past county reports on mineral resources organized from...
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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This model archive contains the data and software application used to develop a two-dimensional hydrodynamic model of a 1.2 kilometer reach of the North Santiam River in Oregon. The Delft3D-Flexible Mesh modeling system was used to simulate flow conditions at a baseflow discharge of 25 cubic meters per second and thus provide spatially distributed predictions of depth and velocity throughout the reach. This model archive consists of four individual components: (1) information on the hydrodynamic model software application; (2) the topographic data used to construct the model grid and field measurements of water depth used to calibrate the model; (3) complete Delft3D model runs, including both the required inputs...
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These data are monthly median observed streamflow from 32 gages in the Central Valley for comparison to the updated Central Valley Hydrologic Model (CVHM2). The locations of these gages are shown in the shape file.
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This dataset includes spreadsheets with statistical data (mean and median absolute error) used in deciding which interpolation method best fit the corresponding dataset. All statistical data were paired with a visual inspection of the interpolation prior to determining the final raster product. All spreadsheets were generated using an automated python script (Jahn, 2020).
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
Categories: Data; Types: Downloadable, Map Service, OGC WFS Layer, OGC WMS Layer, Shapefile; Tags: Atlantic Coast, CMGP, Caribbean, Coastal Research and Planning Institute of Puerto Rico, Coastal and Marine Geology Program, All tags...
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This dataset includes georeferenced TIFF files from three separate reports for the Olean study area that have been digitized into feature classes within ArcGIS. Not all digitized and georeferenced data was necessarily used in the final interpolations, however they may have contributed to understanding the local hydrogeology.
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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The U.S. Geological Survey (USGS) maintains shoreline positions for the United States coasts from both older sources, such as aerial photographs or topographic surveys, and contemporary sources, such as lidar-point clouds and digital elevation models. These shorelines are compiled and analyzed in the USGS Digital Shoreline Analysis System (DSAS), version 5.1 software to calculate rates of change. Keeping a record of historical shoreline positions is an effective method to monitor change over time, enabling scientists to identify areas most susceptible to erosion or accretion. These data can help coastal managers understand which areas of the coast are vulnerable to change. This data release, and other associated...
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Phillip Anderson conducted a comprehensive study of the Proterozoic geology, tectonics, and mineral deposits of the Southwest, focused on Arizona. He started his studies upon arrival at the University of Arizona in the early 1970s, beginning a PhD in the Department of Geosciences. As part of this expansive project, Phil visited and studied nearly every exposure of Proterozoic rocks in Arizona. These studies ranged from detailed quadrangle-scale mapping of large areas to regional reconnaissance accompanied by air-photo interpretation. Phil also collected and geochemically analyzed samples of key rock units, focusing on Proterozoic volcanic and plutonic rocks and their metamorphosed equivalents. He also collected...
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Digital datasets were used to develop basin characteristics values that are used in multiple regression equations and tested for the use in predicting flow-duration curves (FDCs) in ungaged areas of Illinois. Several basin characteristics are easily derived from StreamStats basin delineations, such as basin area and basin centroid (https://streamstats.usgs.gov/ss/). Other basin characteristics require ancillary datasets as input. The data provided through this data release are those data that have been collected, tested, and ultimately selected as a basis for FDC development. These include Soil Components (Available Water Capacity, Drainage Index, and Permeability); PRISM 3-Month Average Precipitation; and Thickness...
The USGS’s FORE-SCE model was used to produce a long-term landscape dataset for the Delaware River Basin (DRB). Using historical landscape reconstruction and scenario-based future projections, the data provided land-use and land-cover (LULC) data for the DRB from year 1680 through 2100, with future projections from 2020-2100 modeled for 7 different socioeconomic-based scenarios, and 3 climate realizations for each socioeconomic scenario (21 scenario combinations in total). The projections are characterized by 1) high spatial resolution (30-meter cells), 2) high thematic resolution (20 land use and land cover classes), 3) broad spatial extent (covering the entirety of the Delaware River basin, corresponding to USGS...


map background search result map search result map Conterminous United States Land Cover Projections - 1992 to 2100 Illinois Regional Flow-Duration Curve Data (ver. 3.0, December 2021) Indiana Regional Flow-Duration Curve Data (ver. 3.0, December 2021) Olean study area georeferenced TIFFs and digitized data Long-term database of historical, current, and future land cover for the Delaware River Basin (1680 through 2100) Interpolation statistics for the Cortland sourcewater study area in upstate New York Shorelines for Vieques, Culebra, and the main island of Puerto Rico from the 1900s to 2018 (ver. 2.0, March 2023) Baseline for the coast of Puerto Rico's main island generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline change rates for the coast of Puerto Rico's main island calculated using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline intersects for the coast of Puerto Rico's main island generated by the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Baseline for the islands of of Vieques and Culebra, Puerto Rico, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Arizona Bureau of Mines Mining Files Collection Inventory Phillip Anderson Arizona Proterozoic Collection Inventory Mining Districts in Arizona Central Valley Hydrologic Model version 2 (CVHM2): Groundwater Level Observations Central Valley Hydrologic Model (CVHM2): Monthly Median Observed Streamflow Sediment properties, charcoal counts, and radiocarbon dates from the Pallett Creek paleoseismic site, San Gabriel Mountains, California (ver. 2.0, February 2024) Remotely sensed data acquired from an Uncrewed Aerial System (UAS) and field measurements of flow depth and velocity from the North Santiam River, Oregon, collected in July 2022 Model archive: Two-dimensional hydrodynamic model of the North Santiam, River, Oregon Delaware River Basin Stream Salinity Machine Learning Model Simulations for Past and Future Drought Remotely sensed data acquired from an Uncrewed Aerial System (UAS) and field measurements of flow depth and velocity from the North Santiam River, Oregon, collected in July 2022 Model archive: Two-dimensional hydrodynamic model of the North Santiam, River, Oregon Sediment properties, charcoal counts, and radiocarbon dates from the Pallett Creek paleoseismic site, San Gabriel Mountains, California (ver. 2.0, February 2024) Interpolation statistics for the Cortland sourcewater study area in upstate New York Baseline for the islands of of Vieques and Culebra, Puerto Rico, generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 Olean study area georeferenced TIFFs and digitized data Baseline for the coast of Puerto Rico's main island generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline change rates for the coast of Puerto Rico's main island calculated using the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shoreline intersects for the coast of Puerto Rico's main island generated by the Digital Shoreline Analysis System version 5.1 (ver. 2.0, March 2023) Shorelines for Vieques, Culebra, and the main island of Puerto Rico from the 1900s to 2018 (ver. 2.0, March 2023) Delaware River Basin Stream Salinity Machine Learning Model Simulations for Past and Future Drought Long-term database of historical, current, and future land cover for the Delaware River Basin (1680 through 2100) Indiana Regional Flow-Duration Curve Data (ver. 3.0, December 2021) Illinois Regional Flow-Duration Curve Data (ver. 3.0, December 2021) Arizona Bureau of Mines Mining Files Collection Inventory Phillip Anderson Arizona Proterozoic Collection Inventory Mining Districts in Arizona Central Valley Hydrologic Model version 2 (CVHM2): Groundwater Level Observations Central Valley Hydrologic Model (CVHM2): Monthly Median Observed Streamflow Conterminous United States Land Cover Projections - 1992 to 2100