AndreaBozzo/ceres-open-data-index huggingface dataset:
Water classification of the Colorado River Corridor, Grand Canyon, Arizona, 2013—Data

These data area classified maps of water in the Colorado River at a discharge of approximately 227 meters squared/second in Grand Canyon from Glen Canyon Dam to Pearce Ferry in Arizona. The data are derived from interpretation of multispectral high resolution airborne imagery that was acquired in May 2013. The water classification data have the same 0.2-meter ground resolution as the imagery. These data have not undergone a statistical accuracy assessment, but they are based on methods that included image interpretation to exhaustively identify water which have been shown to produce very high classification accuracies and excellent correlation between maps of total vegetation produced by independent analysts and ground truth. When developing these data from the native raster format we also considered the differences in water origin, and differentiated between water in the Colorado River mainstem as opposed to within tributary channels. Backwaters with fluid connection to the mainstem river channel were categorized as mainstem water. Backwaters completely disconnected from the mainstem were grouped with the tributary water. We created a water classification dataset from multispectral high resolution imagery. All processing steps were completed in ENVI + IDL 5.3 a product of Harris Geospatial Solutions (copyright 2017 Exelis Visual Information Solutions, Inc., a subsidiary of Harris Corporation) and ArcGIS 10.3 a product of ESRI (copyright 2017).

Tags: airborne-imagery, airborne-multispectral-high-resolution-data, arizona, bright-angel-creek, colorado-river, controlled-flooding, desert-ecosystems, diamond-creek, digital-aerial-imagery, glen-canyon, glen-canyon-dam, grand-canyon, havasu-creek, kanab-creek, lake-mead, lake-powell, lees-ferry, little-colorado-river, marble-canyon, page, paria-river, peach-springs, pearce-ferry, shinumo-creek, tapeats-creek, united-states, usgs-59821f59e4b0e2f5d463bac2, water-resources
Organization: Department of the Interior
Riparian vegetation classification of the Colorado River Corridor, Grand Canyon, Arizona, 2013—Data

These data are classification maps of total riparian vegetation along the Colorado River in Grand Canyon from Glen Canyon Dam to Pearce Ferry in Arizona. The data are derived from interpretation of multispectral high resolution airborne imagery that was acquired in May 2013. The total vegetation data have the same 0.2-meter ground resolution as the imagery. These data have not undergone a statistical accuracy assessment, but they are based on methods that included image interpretation to exhaustively identify total vegetation which have been shown to produce very high classification accuracies and excellent correlation between maps of total vegetation produced by independent analysts and ground truth. The data represent total vegetation that is primarily green and photosynthetically active at the time of image acquisition, and do not necessarily represent vegetation at various stages of senescence or defoliated/dead vegetation that may still be rooted and standing.

Tags: airborne-imagery, airborne-multispectral-high-resolution-data, arizona, bright-angel-creek, colorado-river, desert-ecosystems, diamond-creek, digital-aerial-imagery, glen-canyon, glen-canyon-dam, grand-canyon, havasu-creek, kanab-creek, lake-mead, lake-powell, land-cover, lees-ferry, little-colorado-river, marble-canyon, page, paria-river, peach-springs, pearce-ferry, riparian-vegetation, shinumo-creek, tapeats-creek, united-states, usgs-59821e2fe4b0e2f5d463babc, vegetation, wetland-ecosystems, wetlands
Organization: Department of the Interior
Sperm quality biomarkers complement reproductive and endocrine parameters in investigating environmental contaminants in common carp (Cyprinus carpio) from the Lake Mead National Recreation Area (1999-2006)

Lake Mead National Recreational Area (LMNRA) serves as critical habitat for several federally listed species and supplies water for municipal, domestic, and agricultural use in the Southwestern U.S.  Contaminant sources and concentrations vary among sub-basins within LMNRA.  To investigate whether environmental contaminant exposure is associated with alterations in male common carp (Cyprinus carpio) gamete quality and endocrine- and reproductive parameters, data were collected among sub-basins (n = 7) over 7 years (1999 to 2006).  Endpoints included the sperm quality parameters of motility, viability, mitochondrial membrane potential, count, morphology, and DNA fragmentation; plasma components were vitellogenin (VTG), 17ß-estradiol, 11-keto-testosterone, triiodothyronine, and thyroxine.  Fish condition factor, gonadosomatic index, and gonadal histology parameters were also measured.

Tags: analytical-chemistry, bioindicators, biomarkers, boulder-basin, callville-bay, computer-assisted-sperm-motion-analysis, dna-fragmentation, echo-bay, flow-cytometry, gregg-basin, lake-mead-national-recreation-area, las-vegas-bay, las-vegas-wash, overton-arm, sperm-quality, thyroid-hormones, usgs-59821015e4b0e2f5d463ba97, willow-beach
Organization: Department of the Interior
Supplemental data from: A Process to Estimate Net Infiltration using a Site-Scale Water-Budget Approach, Rainier Mesa, Nevada National Security Site, 2002-05

This USGS data release represents tabular data for a process to estimate net infiltration using a site-scale water-budget approach, Rainier Mesa, Nevada National Security Site, 2002-05.  
This dataset consists of the following: 
(1) Measured and corrected precipitation data from A12 weather station, Rainier Mesa, Nevada National Security Site, July 1, 2002 to June 30, 2005. 
(2) Inventory of net radiation, latent-heat flux, and sensible-heat flux gap-filled periods, pinyon-juniper evapotranspiration (ET) station, Rainier Mesa, Nevada National Security Site, January, 2002 to August, 2005. 
(3) Inventory of net radiation, latent-heat flux, and sensible-heat flux gap-filled periods, scrub-brush ET station, Rainier Mesa, Nevada National Security Site, January, 2002 to July, 2005. 
(4) Corrected and gap-filled ET and energy-balance flux data, pinyon-juniper ET station, Rainier Mesa, Nevada National Security Site, January, 2002 to August, 2005. 
(5) Corrected and gap-filled ET and energy-balance flux data, scrub-brush ET station, Rainier Mesa, Nevada National Security Site, January, 2002 to July, 2005. 
(6) Water-balance model for the pinyon-juniper ET station, Rainier Mesa, Nevada National Security Site, July, 2002 to June, 2005.

Tags: evapotranspiration, net-infiltration, nevada-national-security-site, nye-county, rainier-mesa, usgs-5980e145e4b0a38ca278a90d, water-balance-model
Organization: Department of the Interior
Field properties and results of laboratory analysis of groundwater samples collected from 79 wells in Pike County, Pennsylvania, 1982-2015

Water-quality data for groundwater samples collected by the U.S. Geological Survey from 79 wells in Pike County, Pennsylvania, 1982-2015. Data consist of field properties and results of laboratory analysis for concentrations of inorganic constituents, dissolved gases (methane, ethane and propane), radon-222, gross alpha and beta radioactivity, radium-226, and volatile organic compounds (VOCs) and methane isotopic composition in groundwater samples. Dataset prepared as part of 2015 study for which 79 wells were sampled and includes comparable results for 18 of the 79 wells that were sampled for previous studies in years 1982, 2007, 2011-13.  In 2015, groundwater samples from all 79 wells were analyzed for all constituents except radium-226, VOCs, and methane isotopic composition; samples from 13 wells were analyzed for radium-226, samples from 20 wells were analyzed for VOCs; and samples from 10 wells were analyzed for methane isotopic composition.

Tags: geochemistry, groundwater-quality, hydrogeology, pennsylvania, pike-county, usgs-5980c3c0e4b0a38ca278a8c9
Organization: Department of the Interior
Concentrations of constituents in soil samples at the Vienna Wells Site: Maries County, Missouri, 2012-2015

This dataset contains the soil data collected at the Vienna Wells Superfund site in Vienna, Missouri by the U.S. Geological Survey (USGS) and the U.S. Environmental Protection Agency (EPA). Concentrations of tetrachloroethylene (PCE), trichloroethylene (TCE), and 1,1,2-Trichloro-1,2,2-trifluoroethane (CFC-113) are provided in micrograms per kilogram. Sample depths range from 0 to 18 feet below ground surface.

Tags: contamination-and-pollution, environment, geoprobe, health, soil, soil-resources, superfund-site, usgs-598072aae4b0a38ca278a814
Organization: Department of the Interior
Average concentration of constituents in groundwater samples at the Vienna Wells Site: Maries County, Missouri, 2013-2016

This dataset contains the groundwater data collected at the Vienna Wells Superfund site in Vienna, Missouri by the U.S. Geological Survey. Concentrations of tetrachloroethylene (PCE), trichloroethylene (TCE), and 1,1,2-Trichloro-1,2,2-trifluoroethane (CFC-113) are provided in micrograms per liter. A total of 56 groundwater samples were collected from monitoring wells on five separate occasions between July 2013 and April 2016. Concentrations are averages from each location over time. Note: A sample with a Depth_bott and Depth_top of 0 is a sample from a spring collected at the surface.

Tags: environment, groundwater, groundwater-geochemistry, groundwater-quality, usgs-5980725be4b0a38ca278a810
Organization: Department of the Interior
Field data used to support numerical simulations of variably-saturated flow focused on variability in soil-water retention properties for the U.S. Geological Survey Bay Area Landslide Type (BALT) Site #1 in the East Bay region of California, USA

Field data used to support numerical simulations of variably-saturated flow focused on variability in soil-water retention properties for the U.S. Geological Survey Bay Area Landslide Type (BALT) Site #1 in the East Bay region of California, USA

Tags: balt-1, california, earth-science, east-bay-region, geologic-hazards-science-center, ghsc, hydraulic-conductivity, landslide-hazard, landslide-hazards-program, lhp, numerical-simulations-of-variably-saturated-flow, permeameter, pore-water-pressure, rainfall, soil-moisture, soil-suction, soil-water-retention, united-states, usgs, usgs-597f50bbe4b0a38ca2774b95
Organization: Department of the Interior
GIS Features Used With the Precipitation Runoff Modeling System for Hydrologic Simulations of the Southeastern United States

The hydrologic response units (HRUs) and stream segments available here are for an application of the Precipitation Runoff Modeling System (PRMS) in the southeastern United States by LaFontaine and others (2019). Geographic Information System (GIS) files for the HRUs and stream segments are provided as shapefiles with attribute hru_id_1 identifying the HRU numbering convention used in the PRMS model and seg_id_gcp identifying the stream segment numbering convention used in the PRMS model. This GIS files represent the watershed area for an approximately 1.16 million square kilometer area of the southeastern United States. A total of 20,251 HRUs and 10,742 stream segments are used in this modeling application.
LaFontaine, J.H., Hart, R.M., Hay, L.E., Farmer, W.H., Bock, A.R., Viger, R.J., Markstrom, S.L., Regan, R.S., and Driscoll, J.M., 2019, Simulation of Water Availability in the Southeastern United States for Historical and Potential Future Climate and Land-Cover Conditions: U.S. Geological Survey Scientific Investigations Report, 2019-5039, 83 p., https://doi.org/10.3133/sir20195039.

Tags: biota, model, streamflow, streamflow-modeling, usgs-597f2f6ce4b0a38ca2774b3f
Organization: Department of the Interior
Northwestern Hawaiian Islands: Impacts to Avifauna from the Tohoku Tsunami 2011

This collection of nine datasets covers Midway Atoll and Laysan Island in the Northwestern Hawaiian Islands, and was created to help estimate the impacts of the March 11, 2011 tsunami event on avifauna in the Northwestern Hawaiian Islands. For each island, we generated a coastline dataset and a land cover dataset based on satellite imagery taken the year before the tsuanmi event. We also created datasets of the inundation extent during the tsunami event based on GPS track files of the high water mark, taken by staff scientists stationed on the islands at the time of the tsunami. Additionally, nest distribution data were collected for black-footed albatrosses (Phoebastria nigripes) at Midway Atoll.

Tags: birds, coastal-processes-and-hazards, laysan-island, midway-atoll, northwestern-hawaiian-islands, tsunamis, usgs-597be844e4b0a38ca27566e5
Organization: Department of the Interior
Tar River at Princeville, North Carolina Flood Map Files from October 2016

These polygon boundaries, inundation extents, and depth rasters were created to provide an extent of flood inundation along the Tar River within the community of Princeville, North Carolina. The upstream and downstream reach extent is determined by the location of high-water marks, not extending the boundary far past the outermost high-water marks. In areas of uncertainty of flood extent, the model boundary is lined up with the flood inundation polygon extent. This boundary polygon was used to extract the final flood inundation polygon and depth layer from the flood water surface raster file.  
The passage of Hurricane Matthew through central and eastern North Carolina during October 7-9, 2016, brought heavy rainfall which resulted in major flooding. More than 15 inches of rain were recorded in some areas. Over 600 roads were closed including Interstates 95 and 40, and nearly 99,000 structures were impacted by floodwaters. Immediately after the flooding, the U.S. Geological Survey (USGS) documented 267 high-water marks (HWM), of which 254 were surveyed. The North Carolina Emergency Management documented and surveyed 353 HWMs. The North Carolina Geodetic Survey documented and surveyed 12 HWMs within the town of Princeville. Seven communities were mapped using Geographic Information Systems. This is the model inundated area layer for the community of Princeville.

Tags: boundary, extent, flood, flood-inundation-maps, flooded-area, geospatial-analysis, high-water-marks, north-carolina, princeville, river-stream, study-area, usgs-597b7f13e4b0a38ca2756575
Organization: Department of the Interior
Depth grids of the flood-inundation maps for the Wabash River near the Interstate 64 Bridge near Grayville, Illinois

A two-dimensional model and digital flood-inundation maps were developed for a 30-mile reach of the Wabash River near the Interstate 64 (I-64) Bridge near Grayville, Illinois. The flood-inundation maps, which can be accessed through the U.S. Geological Survey (USGS) Flood Inundation Mapping Science web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Wabash River at Mount Carmel, Ill (USGS station number 03377500). Near-real-time stages at this streamgage may be obtained on the internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS) at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (NWS AHPS site MCRI2). The NWS AHPS forecasts peak stage information that may be used with the maps developed in this study to show predicted areas of flood inundation. Flood elevations were computed for the Wabash River reach by means of a two-dimensional, finite-volume numerical modeling application for river hydraulics. The hydraulic model was calibrated by using global positioning system measurements of water-surface elevation and the current stage-discharge relation at both USGS streamgage 03377500, Wabash River at Mount Carmel, Ill., and USGS streamgage 03378500, Wabash River at New Harmony, Indiana. The calibrated hydraulic model was then used to compute 27 water-surface elevations for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from less than the action stage (9 ft) to the highest stage (35 ft) of the current stage-discharge rating curve. The simulated water-surface elevations were then combined with a geographic information system digital elevation model, derived from light detection and ranging data, to delineate the area flooded at each water level. The availability of these maps, along with information on the internet regarding current stage from the USGS streamgage at Mount Carmel, Ill., and forecasted stream stages from the NWS AHPS, provides emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for postflood recovery efforts.

Tags: flood, flood-inundation-maps, flooded-area, geospatial-analysis, gibson-county, grayville, high-water-marks, illinois, indiana, interstate-64-i-64, posey-county, river, stream, united-states-of-america, usgs-597b4814e4b0a38ca2756402, wabash-county, wabash-river, white-county
Organization: Department of the Interior
Shapefiles of the flood-inundation maps for the Wabash River near the Interstate 64 Bridge near Grayville, Illinois

A two-dimensional model and digital flood-inundation maps were developed for a 30-mile reach of the Wabash River near the Interstate 64 (I-64) Bridge near Grayville, Illinois. The flood-inundation maps, which can be accessed through the U.S. Geological Survey (USGS) Flood Inundation Mapping Science web site at http://water.usgs.gov/osw/flood_inundation/, depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at the USGS streamgage on the Wabash River at Mount Carmel, Ill (USGS station number 03377500). Near-real-time stages at this streamgage may be obtained on the internet from the USGS National Water Information System at http://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS) at http://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (NWS AHPS site MCRI2). The NWS AHPS forecasts peak stage information that may be used with the maps developed in this study to show predicted areas of flood inundation. Flood elevations were computed for the Wabash River reach by means of a two-dimensional, finite-volume numerical modeling application for river hydraulics. The hydraulic model was calibrated by using global positioning system measurements of water-surface elevation and the current stage-discharge relation at both USGS streamgage 03377500, Wabash River at Mount Carmel, Ill., and USGS streamgage 03378500, Wabash River at New Harmony, Indiana. The calibrated hydraulic model was then used to compute 27 water-surface elevations for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from less than the action stage (9 ft) to the highest stage (35 ft) of the current stage-discharge rating curve. The simulated water-surface elevations were then combined with a geographic information system digital elevation model, derived from light detection and ranging data, to delineate the area flooded at each water level. The availability of these maps, along with information on the internet regarding current stage from the USGS streamgage at Mount Carmel, Ill., and forecasted stream stages from the NWS AHPS, provides emergency management personnel and residents with information that is critical for flood-response activities such as evacuations and road closures, as well as for postflood recovery efforts.

Tags: flood, flood-inundation-maps, flooded-area, geospatial-analysis, gibson-county, grayville, high-water-marks, illinois, indiana, interstate-64-i-64, posey-county, river, stream, united-states-of-america, usgs-597b43f2e4b0a38ca27563eb, wabash-county, wabash-river, white-county
Organization: Department of the Interior
Precipitation Runoff Modeling System Input Data for Hydrologic Simulations of the Southeastern United States for Historical and Future Conditions

The southeastern United States was modeled to produce 59 simulations of historical and potential future streamflow using the Precipitation Runoff Modeling System (PRMS) as part of the study documented in LaFontaine and others (2019). One simulation used historical observations of climate, 13 used historical climate simulations using statistically downscaled general circulation model (GCM) output from the Coupled Model Intercomparison Project (CMIP5), and 45 used potential future climate simulations using statistically downscaled CMIP5 GCMs for four representative concentration pathways. Historical simulations with observations are for the period 1952-2010, historical simulations with the GCMs are for the period 1952-2005, and potential future simulations are for the period 2007-2099. These data document the PRMS climate input data files for these simulations. Input files for the simulations include the PRMS base parameter file and five dynamic parameter files that update model parameters on an annual time step for impervious area, dominant land cover type, and canopy interception.
LaFontaine, J.H., Hart, R.M., Hay, L.E., Farmer, W.H., Bock, A.R., Viger, R.J., Markstrom, S.L., Regan, R.S., and Driscoll, J.M., 2019, Simulation of Water Availability in the Southeastern United States for Historical and Potential Future Climate and Land-Cover Conditions: U.S. Geological Survey Scientific Investigations Report, 2019-5039, 83 p., https://doi.org/10.3133/sir20195039.

Tags: biota, model, streamflow, streamflow-modeling, usgs-597b3720e4b0a38ca27563cf
Organization: Department of the Interior
Statistical Streamflow Simulations for 1980-2010 and Headwater GIS Features of the Southeastern United States

The statistically-based estimates of streamflow included here are for the headwater watersheds in the study area described in LaFontaine and others (2019), and were developed using the ordinary kriging methodology described in Farmer (2016). There are four files included that describe the maximum, minimum, mean, and median estimated streamflow for each headwater on a daily time step for the period 10/1/1980-9/30/2010. A GIS shapefile of the headwaters is also included here.
Farmer, W.H., 2016, Ordinary kriging as a tool to estimate historical daily streamflow records: Hydrology and Earth System Sciences, v. 20, no. 7, p. 2721-2735, accessed September 27, 2017, at https://doi.org/10.5194/hess-20-2721-2016.
LaFontaine, J.H., Hart, R.M., Hay, L.E., Farmer, W.H., Bock, A.R., Viger, R.J., Markstrom, S.L., Regan, R.S., and Driscoll, J.M., in review, Simulation of Water Availability in the Southeastern United States for Historical and Potential Future Climate and Land-Cover Conditions: U.S. Geological Survey Scientific Investigations Report, 2019-5039, 83 p., https://doi.org/10.3133/sir20195039.

Tags: biota, model, streamflow, streamflow-modeling, usgs-597b362ee4b0a38ca27563c9
Organization: Department of the Interior