AndreaBozzo/ceres-open-data-index huggingface dataset:
Pebble Count Data for Delineation of Flood-Inundation Areas in Grapevine Canyon Near Scotty's Castle, Death Valley National Park, California

This comma-separated values (CSV) file includes the results of five Wohlman-style pebble counts (Wolman, 1954), collected in Grapevine Canyon near Scotty's Castle, Death Valley National Park, on March 2, 2017. Pebble counts were performed to determine the size of channel bed particles and evaluate channel roughness to be input into a one-dimensional hydraulic model.

Tags: california, death-valley, death-valley-national-park, flood, flood-inundation-maps, flooding, grapevine-canyon, inlandwaters, lidar, mathematical-modeling, nevada, scottys-castle, stationary-scanning, streamflow, surface-water-non-marine, t-lidar, terrestrial-laser-scanning, usgs-5d5de14fe4b01d82ce9619b6
Organization: Department of the Interior
Point Cloud Data from a Terrestrial Laser Scanner Survey in Grapevine Canyon Near Scotty's Castle, Death Valley National Park, California

This zip file contains 42 LAZ point cloud files surveyed by terrestrial laser scanner (TLS) from 38 locations in Grapevine Canyon near Scotty’s Castle, Death Valley National Park, from July 12-14, 2016. Data were collected by 360-degree scans using a Maptek I-Site 8810XR TLS and post-processed with I-Site Studio software.

Tags: california, death-valley, death-valley-national-park, flood, flood-inundation-maps, flooding, grapevine-canyon, inlandwaters, lidar, mathematical-modeling, nevada, scottys-castle, stationary-scanning, streamflow, surface-water-non-marine, t-lidar, terrestrial-laser-scanning, usgs-5d5de030e4b01d82ce9619b0
Organization: Department of the Interior
Flood-Inundation Areas in Grapevine Canyon Near Scotty's Castle, Death Valley National Park, California

This polygon shapefile represents estimated flood-inundation areas in Grapevine Canyon near Scotty's Castle, Death Valley National Park. Estimates of the 4, 2, 1, 0.5, and 0.2 percent annual exceedance probability (AEP) flood streamflows (previously known as the 25, 50, 100, 250, and 500-year floods) were computed from regional flood regression equations. The estimated flood streamflows were used with one-dimensional hydraulic models to compute water surface elevations that were mapped on a digital terrain model of the study area. Those locations where the water surface was higher than the land surface were defined as inundated. The inundation polygons are named by AEP flow (4, 2, 1, 0.5, 0.2-percent) and geometry (High, Final, and Low), and also include manually-delineated polygons where flow is inferred.

Tags: california, death-valley, death-valley-national-park, flood, flood-inundation-maps, flooding, grapevine-canyon, inlandwaters, lidar, mathematical-modeling, nevada, scottys-castle, stationary-scanning, streamflow, surface-water-non-marine, t-lidar, terrestrial-laser-scanning, usgs-5d5de024e4b01d82ce9619ae
Organization: Department of the Interior
Peak-flow frequency analysis for USGS 05494300 Fox River at Bloomfield, Iowa, in the Fox River Basin Iowa, based on data through water year 2018

This data release presents a peak-flow frequency analysis for USGS 05494300 Fox River at Bloomfield, Iowa, that was based on methods described by Eash and others (2013)(https://pubs.usgs.gov/sir/2013/5086/). The methods are used to provide estimates of peak-flow quantiles for 50-, 20-, 10-, 4-, 2-, 1-, 0.5-, and 0.2-percent annual exceedance probabilities (AEPs).

Tags: annual-exceedance-probability, bloomfield, fox-river, hydrology, iowa, peak-flow-frequency, streamflow, usgs-5d5d9b77e4b01d82ce95fedb
Organization: Department of the Interior
Data on Tree Growth and Plant Community Composition in Mid-Atlantic Tidal Freshwater Forested Wetlands

Tree growth (annual tree ring measurements) and plant community composition data of tidal freshwater forested wetlands along longitudinal riverine positions (upper, lower, and stressed tidal river sites, and nearby upstream non-tidal forested floodplains) of the adjoining Pamunkey and Mattaponi Rivers, Virginia.

Tags: biota, chesapeake, community-ecology, dendrochronology, ecology, ecosystem-monitoring, freshwater-tidal-forest-woodland, mattaponi, pamunkey, river-discharge, salinity, sea-level-change, stream-discharge, tree-cores, usgs-5d5d9379e4b01d82ce95fd8a, vascular-plants, vegetation, virginia
Organization: Department of the Interior
Hyperspectral Characterization of Common Cyanobacteria Associated with Harmful Algal Blooms, Data Release

This dataset is a collection of hyperspectral imagery profiles of 13 common algae associated with Harmful Algae Blooms (HAB). Data were retrieved from a hyperspectral microscope at, and with the cooperation of, the National Institute of Standards and Technology.  Samples were collected from USGS water quality sampling efforts, and were also purchased from commercial vendors of biological materials. Data are shown in basic hyperspectral imagery form, transformed into the first derivative and corrected with a flat field algorithm to account for variations in locale lighting conditions.

Tags: biota, cyanobacteria, harmful-algal-blooms, hyperspectral-remote-sensing, imaging-spectroscopy, usgs-5d5d6b3de4b01d82ce91e4dc
Organization: Department of the Interior
Surface-Water Results for Currituck Sound, North Carolina, 2011-18

The U.S. Geological Survey, in cooperation with the North Carolina Turnpike Authority, conducted a study to establish baseline water-quality conditions and bed-sediment chemistry in Currituck Sound, North Carolina, prior to construction of the Mid-Currituck Bridge. This Data Release contains the associated data described in the Open-File Report, “Characterization of Water-Quality and Bed-Sediment Conditions in Currituck Sound, North Carolina, Prior to the Mid-Currituck Bridge Construction, 2011-18”. These datasets contain information on analytical constituents measured in samples, surface-water environmental and quality-assurance sample results, bed-sediment environmental and quality-assurance sample results, phytoplankton taxonomy data, and water-velocity measurement results. Data were collected from August 2011 to January 2018 at five sites distributed along the planned alignment of the Mid-Currituck Bridge in Currituck Sound, North Carolina.

Tags: biological-data, currituck-county, cyanotoxins, north-carolina, nutrient-data, surface-water, unfiltered-metals-data, usgs-5d5d5881e4b01d82ce913243, water-quality
Organization: Department of the Interior
Grids in support of the U.S. Geological Survey Thermal Model for Seismic Hazard Studies

A 3D temperature model is constructed in order to support the estimation of physical parameters within the USGS National Crustal Model. The crustal model is defined by a geological framework consisting of various lithologies with distinct mineral compositions. A temperature model is needed to calculate mineral density and bulk and shear modulus as a function of position within the crust. These properties control seismic velocity and impedance, which are needed to accurately estimate earthquake travel times and seismic amplitudes in earthquake hazard analyses. The temperature model is constrained by observations of surface temperature, temperature gradient, and conductivity, inferred Moho temperature and depth, and assumed conductivity at the base of the crust. The continental plate is assumed to have heat production that decreases exponentially with depth and thermal conductivity that exponentially changes from a surface value to 3.6 W/m-K at the Moho. The oceanic plate cools as a halfspace with a geotherm dependent on plate age. Under these conditions and the application of observed surface heat production, predicted Moho temperatures match Moho temperatures inferred from Pn velocities, on average. As has been noted in previous studies, high crustal temperatures are found in the western United States, particularly beneath areas of recent volcanism. In the central and eastern United States, elevated temperatures are found from southeast Texas, into the Mississippi Embayment, and up through Wisconsin.

Tags: earthquake-hazards-program, geologic-hazards-science-center, ghsc, ncm, usgs, usgs-5d5c5610e4b01d82ce8fc203, usgs-national-crustal-model
Organization: Department of the Interior
Pesticide Constituent Data from the California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP), 2004 - 2018

The California Groundwater Ambient Monitoring and Assessment Program Priority Basin Project (GAMA-PBP) submitted 2,994 samples in 2004-2018 to the USGS National Water Quality Laboratory (NWQL) for analysis of pesticide constituents on NWQL schedules 2003, 2032, or 2033, and 840 samples in 2004-2011 for analysis of pesticide constituents on NWQL schedule 2060. Fram and Stork (2019) describe the GAMA-PBP data quality objectives for pesticide constituents and present a 5-step protocol for review and quality-control censoring of data from these NWQL schedules. This data release presents the original and final values for the 1,056 results censored by Fram and Stork (2019) and the entire final dataset for pesticide constituents on NWQL schedules 2003, 2032, 2033, or 2060 in GAMA-PBP samples collected in 2004-2018.

Tags: california, censored, datasets, dissolved-organic-compounds, environment, gama-pbp, groundwater, groundwater-ambient-monitoring-and-assessment-program-priority-basin-project, groundwater-quality, laboratory-methods, pesticide, united-states, usgs-5d5b20f4e4b01d82ce8fb83c
Organization: Department of the Interior
Time Series of expected Nebraska Sandhills livestock forage (2000 - 2016)

Management and disturbances have significant effects on grassland forage production. When using satellite remote sensing to monitor climate impacts such as drought stress on annual forage production, minimizing these effects provides a clearer climate signal in the productivity data. The research objectives are to (1) estimate biomass expected at a certain location under specific weather conditions, (2) determine which drought indices explain the majority of inter-annual variability in the study area and (3) develop a model that estimates annual biomass early in the growing season. This study uses an established methodology to determine an expected ecosystem performance (EEP) in the Nebraska Sandhills, USA, representing the annual forage with the effects of non-climatic influences removed. Moderate Resolution Imaging Spectroradiometer (MODIS)-based Normalized Difference Vegetation Index (NDVI) data were used to approximate actual ecosystem performance. Seventeen years (2000 – 2016) of annual EEP were calculated using piecewise regression tree models of site potential and weather data. Expected biomass (EB), EEP converted to biomass in kg ha/yr, then determined the appropriate indices and date of the growing season to monitor annual expected grassland biomass. Validation revealed that EB was positively related to field-based biomass production in two upland Sandhills locations (R-squared = 0.66 and 0.57) and to regional rangeland productivity statistics of the Soil Survey Geographic Database (SSURGO) dataset. The Evaporative Stress Index (ESI), the 3- and 6-month Standardized Precipitation Index (SPI), and the US Drought Monitor (USDM) that represented moisture conditions during May, June and July explained the majority of the inter-annual biomass variability in this grassland system. EB was then used to develop a spring biomass estimate model that applies several drought indices to estimate annual biomass production early in the growing season. This unique approach considers only the climate-related drought signal on productivity. The spring biomass model estimated annual EB at the end of May, giving land managers opportunities to make informed decisions about stocking rates, hay purchase needs, and other management decisions early in the growing season, minimizing their potential losses from drought. These datasets were produced through a USGS Cooperative Agreement with the University of Nebraska (Agreement Number G19AC00074) and the National Drought Mitigation Center “Drought Risk Management Research Center,’’ and is supported by the National Oceanic and Atmospheric Administration Competitive Grant no. NA15OAR4310110 in support of the National Integrated Drought Information System. Further methodological details and applications of this data and be found in Poděbradská et al. 2019, referenced above.

Tags: biomass, biota, drought, farming, forage-production, ndvi, nebraska, rangeland-productivity, regression-tree, remote-sensing, sandhills, united-states, usgs-5d5aae6ce4b01d82ce8ecf51
Organization: Department of the Interior
Model archive for analysis of the effects of impervious cover on receiving-water quality with the Stochastic Empirical Loading Dilution Model (SELDM)

This is a model archive of SELDM development data and simulation results of total phosphorus concentrations in concurrent stormflows from drainage basins in the Northeastern U.S. with varying levels of imperviousness. Model development files include details of simulated hydrology, basin properties, upstream undeveloped area water quality, and developed area (impervious area) runoff quality. Model results include downstream water quality with and without structural best management practices.

Tags: inlandwaters, new-england, northeastern-coastal-zone, runoff, stochastic-empirical-loading-and-dilution-model, stormwater, total-phosphorus, united-states, usgs-5d5806e8e4b01d82ce8ebece
Organization: Department of the Interior
Data release for: Evaluating k-nearest neighbor (kNN) imputation models for species-level aboveground forest biomass mapping in Northeast China

Quantifying spatially explicit or pixel-level aboveground forest biomass (AFB) across large regions is critical for measuring forest carbon sequestration capacity, assessing forest carbon balance, and revealing changes in the structure and function of forest ecosystems. When AFB is measured at the species level using widely available remote sensing data, regional changes in forest composition can readily be monitored. In this study, wall-to-wall maps of species-level AFB were generated for forests in Northeast China by integrating forest inventory data with Moderate Resolution Imaging Spectroradiometer (MODIS) images and environmental variables through applying the optimal k-nearest neighbor (kNN) imputation model. By comparing the prediction accuracy of 630 kNN models, we found that the models with random forest (RF) as the distance metric showed the highest accuracy. Compared to the use of single-month MODIS data for September, there was no appreciable improvement for the estimation accuracy of species-level AFB by using multi-month MODIS data. When k &gt; 7, the accuracy improvement of the RF-based kNN models using the single MODIS predictors for September was essentially negligible. Therefore, the kNN model using the RF distance metric, single-month (September) MODIS predictors and k = 7 was the optimal model to impute the species-level AFB for entire Northeast China. Our imputation results showed that average AFB of all species over Northeast China was 101.98 Mg/ha around 2000. Among 17 widespread species, larch was most dominant, with the largest AFB (20.88 Mg/ha), followed by white birch (13.84 Mg/ha). Amur corktree and willow had low AFB (0.91 and 0.96 Mg/ha, respectively). Environmental variables (e.g., climate and topography) had strong relationships with species-level AFB. By integrating forest inventory data and remote sensing data with complete spatial coverage using the optimal kNN model, we successfully mapped the AFB distribution of the 17 tree species over Northeast China. We also evaluated the accuracy of AFB at different spatial scales. The AFB estimation accuracy significantly improved from stand level up to the ecotype level, indicating that the AFB maps generated from this study are more suitable to apply to forest ecosystem models (e.g., LINKAGES) which require species-level attributes at the ecotype scale.

Tags: aboveground-forest-biomass, biomass-imputation, changbai-mountains, field-inventory-and-monitoring, forest-ecosystems, geoscientificinformation, greater-khingan-mountains, heilongjiang, hulun-buir-plateau, imagerybasemapsearthcover, inner-mongolia, jilin, lesser-khingan-mountains, liaohe-plain, liaoning, modis, multispectral-imaging, northeast-china, random-forest-model, sanjiang-plain, songnen-plain, usgs-5d56e4e0e4b01d82ce8ebad2
Organization: Department of the Interior
Compilation of data not available in the National Water Information System for domestic wells sampled by the U.S. Geological Survey in Clinton County, Pennsylvania, May-September 2017

This dataset contains the lithologic class and topographic position index information and quality-assurance and quality-control data not available in the online National Water Information System for 54 domestic wells sampled by the U.S. Geological Survey in Clinton County, Pennsylvania, May-September 2017. The topographic position index (TPI) for each well location was computed on the basis of a 25-meter digital elevation model (U.S. Geological Survey, 2009) using criteria reported by Llewellyn (2014) to indicate potential classes for topographic setting. The bedrock geologic unit and primary lithology were determined for each well location on the basis of the digital bedrock geologic map of Pennsylvania (Miles and Whitfield, 2001).  The quality-assurance and quality-control data (such as blanks or replicates) were collected at a subset of sites to ensure that the data met specific data-quality objectives outlined for the study.

Tags: carbonate, clinton-county, groundwater, hydrogeology, marcellus, pennsylvania, usgs-5d56ca59e4b01d82ce8eb651, water-quality, well-water
Organization: Department of the Interior
Comparing live capture methods for nutria (Myocastor coypus): single versus multicatch traps

Data from a nutria trap type comparison study. Single catch traps were compared to muliticatch traps at the same study sites at the same time. The study site was Sauvie Island, Oregon. The data include trap location, location ownership, location cover, and number and size of animals caught in the different trap types. Study was conducted March through April 2011.

Tags: biota, coypus, invasive-species, mulit-catch-trap, myocastor-coypus, nutria, single-catch-box-trap, trap-nights, usgs-5d54344ce4b01d82ce8e36a1
Organization: Department of the Interior
American Falls Reservoir Bathymetry (Elevation Vectors) near River Mile 713 to 714, Power County, Idaho, 2019

The USGS, in cooperation with the U.S. Bureau of Reclamation, surveyed the bathymetry within an area of about 500 acres of American Falls Reservoir between River Miles 713 and 714 during the week of August 6-8, 2019. The bathymetric survey provided high resolution detail of a proposed treatment area for an aeration system that is being developed to support water quality during the American Falls spillway concrete repair project and possibly thereafter. The Water Quality Restoration Plan detailing this effort is an appendix of the of the Final Environmental Assessment (EA) in conjunction with the National Environmental Policy Act (NEPA) compliance process.

Tags: american-falls, american-falls-reservoir, ascii, bathymetry, elevation, geology, hypack, hysweep, id, idaho, inlandwaters, multibeam-sonar, swath-bathymetry, topography, u-s-geological-survey, usa, usgs, usgs-5d541be8e4b01d82ce8e366d, water-depth, xyz
Organization: Department of the Interior
Images from Hurricane Hole, Virgin Islands Coral Reef National Monument, 2017 to 2019

This data set includes still images and videos from three bays within Hurricane Hole, Virgin Islands Coral Reef National Monument, documenting the remarkable biodiversity of the coral/mangrove ecosystem within these bays, and the effects of the 2017 Hurricanes Irma and Maria on this unique ecosystem.  Near shore marine communities and fringing red mangroves were severely damaged.

Tags: biodiversity, biota, corals, hurricanes, mangroves, usgs-5d52be0be4b01d82ce8e2655, virgin-islands
Organization: Department of the Interior
Overview Metadata of Water-Quality Field Blank Data, Replicate Sample Data, Discharge Data, and Dissolved Solids Data

Water quality replicate sample data and field blank data was collected at the Colorado River above Imperial Dam, Colorado River below Cooper Wasteway, Yuma Main Drain, and 242 Lateral during 2017 and 2018. Instantaneous discharge data was collected at the Cooper Wasteway, Yuma Main Drain, and 242 Lateral from January 2017 to March 2019. Instantaneous discharge readings were recorded at a fixed interval of 5 minutes. Mean daily discharge data was collected at the Colorado River above Imperial Dam, Cooper Wasteway, Yuma Main Drain, and 242 Lateral from January 2017 to March 2019. Instantaneous discharge and mean daily discharge data was provided to the USGS by the International Boundary and Water Commission (IBWC). Discrete water-quality samples were collected at the Colorado River above Imperial Dam, Colorado River below Cooper Wasteway, Yuma Main Drain, and 242 Lateral during 2017, 2018, through March 2019 and values were used to compute dissolved solids concentrations using BOR's method.

Tags: surface-water-quality, usgs-5d51e6ade4b01d82ce8e2071, water-chemistry
Organization: Department of the Interior
Compilation of wells sampled, physical characteristics of wells, links to water-quality data, and quality assurance and quality control data for domestic wells sampled by the U.S. Geological Survey in Potter County, Pennsylvania, April-September 2017

This dataset contains the lithologic class and topographic position index information and quality-assurance and quality-control data not available in the online National Water Information System for 47 domestic wells sampled by the U.S. Geological Survey in Potter County, Pennsylvania, April-September 2017. The topographic position index (TPI) for each well location was computed on the basis of a 25-meter digital elevation model (U.S. Geological Survey, 2009) using criteria reported by Llewellyn (2014) to indicate potential classes for topographic setting. The bedrock geologic unit and primary lithology were determined for each well location on the basis of the digital bedrock geologic map of Pennsylvania (Miles and Whitfield, 2001). The quality-assurance and quality-control data (such as blanks or replicates) were collected at a subset of sites to ensure that the data met specific data-quality objectives outlined for the study.

Tags: groundwater, hydrogeology, pennsylvania, potter-county, usgs-5d51b73de4b01d82ce8e1f50, water-quality, well-water
Organization: Department of the Interior
Geospatial Data to Support Estimates of Annual Groundwater Discharge by Evapotranspiration from Areas of Spring-Fed Riparian Vegetation, Stump Spring and Hiko Springs, Clark County, southern Nevada

This USGS data release, supporting USGS Scientific Investigations Report 2020-5075, Estimates of Groundwater Discharge by Evapotranspiration, Stump Spring and Hiko Springs, Clark County, Southern Nevada, 2016–18, consists of five datasets - Normalized Difference Vegetation Indexes (NDVI) and a mapped groundwater discharge areas (GDA) for two spring areas, and a two-class land cover classification for Stump Springs and the Area of Critical Environmental Concern (ACEC) adjacent to Stump Springs. The mapped GDAs are the area within each spring’s riparian area where discharge from evaporation by open water or bare soil and transpiration from phreatophytic plants exceeds the volume of water contributed by precipitation. The GDAs were delineated from visual interpretation of 2015 National Agricultural Imagery Program (NAIP) imagery and 2016 and 2017 WorldView 2 imagery. The WorldView 2 imagery, NDVI based on the Worldview 2 imagery, and two-class land cover classification each were used to estimate the area of riparian vegetation within the GDA.

Tags: clark-county, climatologymeteorologyatmosphere, et, evaporation, evapotranspiration, groundwater, groundwater-discharge, hiko-springs, inlandwaters, nevada, phreatophytes, stump-spring, transpiration, usgs-5d50918de4b01d82ce8e16df
Organization: Department of the Interior