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This dataset provides numerical and categorical descriptions of 48 basin characteristics for 956 basins with observed streamflow information at U.S. Geological Survey (USGS) streamflow-gaging stations. Characteristics are indexed by National Hydrography Dataset (NHD) version 2 COMID (integer that uniquely identifies each feature in the NHD) and USGS station number for streamflow-gaging station. The variables represent mutable and immutable basin characteristics and are organized by characteristic type: physical (5), hydrologic (6), categorical (12), climate (6), landscape alteration (7), and land cover (12). Mutable characteristics such as climate, land cover, and landscape alteration variables are reported in decadal...
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Two methods of calculating hydrologic alteration were applied to modeled daily streamflow data for 9,201 12-digit hydrologic unit code (HUC12) pour points draining to the Gulf of Mexico (Robinson and others, 2020). The first method is a new modified method of calculating ecosurplus and ecodeficit called hydro change. For this project, ecosurplus and ecodeficit have been combined to assess overall hydrologic regime change. The second method is the confidence interval hypothesis test (Kroll and others, 2015). The first method is a means of quantifying hydrologic alteration while the second is a hypothesis test to simply determine if statistically significant alteration has occurred. Both methods are employed to determine...
The spatial extents of verified irrigated lands were compiled from various federal and state sources across the nation and combined into a single Geographic Information System (GIS) geodatabase for the purpose of model training and validation. In cooperation with U.S. Geological Survey (USGS), researchers at the University of Wisconsin (UW) generated a nation-wide map of irrigated lands using remote-sensing techniques that will be incorporated into future irrigation water-use models. The verified spatial data varies in scope, accuracy, and time period represented, but in general represents GIS coverages (polygons) of agricultural land irrigated for at least some period during 2002–17. Data from 14 states were provided...
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This data set represents the results of calculations of hazard curves for a grid of points with a spacing of 0.05 degrees in latitude and longitude. This particular data set is for horizontal spectral response acceleration for 0.2-second period with a 1 percent probability of exceedance in 1 year. The data are for the Central and Eastern United States and are based on the one-year model.
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Mississippi. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Mississippi. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of New Hampshire. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of New Hampshire. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Tennessee. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Tennessee. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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Water-level measurements of wells were taken in the Upper Floridan aquifer between the dates of May 2 and June 23, 2010. A GIS shapefile of these water-level measurements was constructed and released as part of a prior USGS publication (Kinnaman and Dixon, 2011). This ArcGIS layer was updated in August 2014 to include salinity-based density corrections to water levels in those areas of south Florida where water in the subject aquifer is not fresh. The density corrections to water levels result in the portrayal of the “equivalent freshwater head” values in brackish and saline areas of the Upper Floridan aquifer where water quality data were available.
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the Southeast Aquatic Resource Partnership. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the boundary of the Southeast Aquatic Resource Partnership. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Alabama. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Alabama. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Iowa. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Iowa. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions in the...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Kansas. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Kansas. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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This shapefile contains landscape factors representing human disturbances summarized to local and network catchments of river reaches for the state of Wyoming. This dataset is the result of clipping the feature class 'NFHAP 2010 HCI Scores and Human Disturbance Data for the Conterminous United States linked to NHDPLUSV1.gdb' to the state boundary of Wyoming. Landscape factors include land uses, population density, roads, dams, mines, and point-source pollution sites. The source datasets that were compiled and attributed to catchments were identified as being: (1) meaningful for assessing fish habitat; (2) consistent across the entire study area in the way that they were assembled; (3) representative of conditions...
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Sandy ocean beaches in the United States are popular tourist and recreational destinations and constitute some of the most valuable real estate in the country. The boundary between land and water along the coastline is often the location of concentrated residential and commercial development and is frequently exposed to a range of natural hazards, which include flooding, storm effects, and coastal erosion. In response, the U.S. Geological Survey (USGS) is conducting a national assessment of coastal change hazards. One component of this research effort, the National Assessment of Shoreline Change Project, documents changes in shoreline position as a proxy for coastal change. Shoreline position is an easily understood...
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Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences...
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Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences...
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Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences...
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Statistical analyses and maps representing mean, high, and low water-level conditions in the surface water and groundwater of Miami-Dade County were made by the U.S. Geological Survey, in cooperation with the Miami-Dade County Department of Regulatory and Economic Resources, to help inform decisions necessary for urban planning and development. Sixteen maps were created that show contours of (1) the mean of daily water levels at each site during October and May for the 2000-2009 water years; (2) the 25th, 50th, and 75th percentiles of the daily water levels at each site during October and May and for all months during 2000-2009; and (3) the differences between mean October and May water levels, as well as the differences...
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U.S. Geological Survey, in cooperation with Miami-Dade County, performed a sequential, aquifer stress test from August 15 to October 12, 2011, on the Floridan aquifer system at the North District Wastewater Treatment Plant, in Miami-Dade County, Florida. Miami-Dade County stressed the Floridan aquifer system with four municipal injection wells at the North District. The U.S. Geological Survey measured pressure with a Level TROLL 700 from August 15, 2011, to October 12, 2011, for injection well IW-1. These data are part of a larger data set that describe the stress test at the North District (King, 2016, http://dx.doi.org/10.5066/F7QZ2819).
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U.S. Geological Survey, in cooperation with Miami-Dade County, performed a sequential, aquifer stress test from August 15 to October 12, 2011, on the Floridan aquifer system at the North District Wastewater Treatment Plant, in Miami-Dade County, Florida. Miami-Dade County stressed the Floridan aquifer system with four municipal injection wells at the North District. The U.S. Geological Survey measured pressure with a Level TROLL 700 from August 15, 2011, to October 12, 2011, for well IW-2. These data are part of a larger data set that describe the stress test at the North District (King, 2016, http://dx.doi.org/10.5066/F7QZ2819).


map background search result map search result map Iowa: NFHAP 2010 HCI Scores and Disturbances Kansas: NFHAP 2010 HCI Scores and Disturbances Tennessee: NFHAP 2010 HCI Scores and Disturbances Wyoming: NFHAP 2010 HCI Scores and Disturbances Alabama: NFHAP 2010 HCI Scores and Disturbances New Hampshire: NFHAP 2010 HCI Scores and Disturbances Mississippi: NFHAP 2010 HCI Scores and Disturbances National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Southeast Aquatic Resource Partnership Map 06 Map 07 Map 10 Map 14 Tomography pressure time series from August 15, 2011, to October 12, 2011, for injection well IW-1 at the North District Wastewater Treatment Plant, Miami-Dade County, Florida Tomography pressure time series from August 15, 2011, to October 12, 2011, for injection well IW-2 at the North District Wastewater Treatment Plant, Miami-Dade County, Florida Offshore baseline for the Florida west (FLwest) coastal region generated to calculate shoreline change rates 0.2-second spectral response acceleration (5% of critical damping) with a 1% probability of exceedance in 1 year for the Central and Eastern United States Shapefile: Potentiometric wells for the Upper Floridan aquifer in Florida and parts of Georgia, South Carolina, and Alabama, May-June 2010 – Updated Summary of basin characteristics for National Hydrography Dataset, version 2 catchments in the southeastern United States, 1950 - 2010 at USGS streamflow-gaging stations Assessment of hydrologic alteration at 12-digit hydrologic unit code (HUC12) pour points in the southeastern United States, 1950 - 2009 Verified Irrigated Agricultural Lands for the United States, 2002–17 Tomography pressure time series from August 15, 2011, to October 12, 2011, for injection well IW-1 at the North District Wastewater Treatment Plant, Miami-Dade County, Florida Tomography pressure time series from August 15, 2011, to October 12, 2011, for injection well IW-2 at the North District Wastewater Treatment Plant, Miami-Dade County, Florida Map 10 Map 14 Map 06 Map 07 Offshore baseline for the Florida west (FLwest) coastal region generated to calculate shoreline change rates New Hampshire: NFHAP 2010 HCI Scores and Disturbances Tennessee: NFHAP 2010 HCI Scores and Disturbances Iowa: NFHAP 2010 HCI Scores and Disturbances Kansas: NFHAP 2010 HCI Scores and Disturbances Alabama: NFHAP 2010 HCI Scores and Disturbances Mississippi: NFHAP 2010 HCI Scores and Disturbances Wyoming: NFHAP 2010 HCI Scores and Disturbances Shapefile: Potentiometric wells for the Upper Floridan aquifer in Florida and parts of Georgia, South Carolina, and Alabama, May-June 2010 – Updated Assessment of hydrologic alteration at 12-digit hydrologic unit code (HUC12) pour points in the southeastern United States, 1950 - 2009 Summary of basin characteristics for National Hydrography Dataset, version 2 catchments in the southeastern United States, 1950 - 2010 at USGS streamflow-gaging stations National Fish Habitat Action Plan (NFHAP) 2010 HCI Scores and Human Disturbance Data (linked to NHDPLUSV1) for Southeast Aquatic Resource Partnership Verified Irrigated Agricultural Lands for the United States, 2002–17 0.2-second spectral response acceleration (5% of critical damping) with a 1% probability of exceedance in 1 year for the Central and Eastern United States