AndreaBozzo/ceres-open-data-index huggingface dataset:
Surface altitudes of hydrogeologic units used in the hydrogeologic framework and transient ground-water flow model of the Death Valley regional ground-water flow system, Nevada and California

A digital three-dimensional (3D) hydrogeologic framework model (HFM) represents the geometry 
and extent of hydrogeologic units (HGUs) and major structures in the Death Valley regional 
ground-water flow system (DVRFS). The HFM altitude data represent the geometry of the HFM 
by defining the top of the 27 HGUs in an approximately 45,000 square-kilometer region of southern 
Nevada and California (see "Larger Work Citation", Chapter E). The HGUs represent principal 
aquifers and confining units and are integral to the development of the DVRFS transient ground-
water flow model (see "Larger Work Citation", Chapter F). The DVRFS framework and transient 
ground-water flow models are the most recent in a number of regional-scale models developed 
by the U.S. Geological Survey (USGS) for the U.S. Department of Energy (DOE) to support 
investigations at the Nevada Test Site (NTS) and at Yucca Mountain, Nevada (see "Larger 
Work Citation", Chapter A, page 8).

Tags: amargosa-desert, ash-meadows, california, california-valley, chicago-valley, china-ranch, clark-county, clayton-valley, coal-valley, death-valley, death-valley-regional-ground-water-flow-system, esmeralda-county, eureka-valley, flow-model, franklin-lake, franklin-well, garden-valley, ground-water, hydrogeologic-framework-model, hydrogeology, hydrology, inyo-county, kern-county, las-vegas-valley, lincoln-county, mesquite-valley, mineral-county, modflow-2000, mono-county, nevada, nevada-test-site, nye-county, oasis-valley, owlshead-mountains, pahranagat-range, pahrump-valley, panamint-range, penoyer-valley, railroad-valley, resting-spring, saline-valley, san-bernadino-county, sarcobatus-flat, sheep-range, shoshone, silurian-valley, southern-nevada, spring-mountains, stewart-valley, stone-cabin-valley, tecopa, transient-ground-water-model, usgs-625f86d8-e628-4cf0-919c-d6e3e0414246, yucca-mountain
Organization: Department of the Interior
MODFLOW-NWT model of the Former Badger Army Ammunition Plant, Wisconsin

This model archive makes available a calibrated, transient MODFLODW-NWT model and a MODPATH7 particle-tracking model used to simulate the groundwater flow system at the former Badger Army Ammunition Plant, in Sauk County, Wisconsin, during 1984-2020. The development of the MODFLODW-NWT and MODPATH7 models are described in the associated U.S. Geological Survey Scientific Investigations Report 2023-5040. This model archive contains all the files needed to document and run the groundwater flow and particle-tracking models. The directories in the archive are each presented as a separate .zip file and include an a "bin" directory, a "georef" directory, a "model” directory, an "output" directory, and a "source" directory. There is also an “ancillary_pest” directory included in the archive that contains files used during the calibration of the flow model. There is a README file describing all the files and directories in the archive and information on how to run the model. Each primary directory also contains a README file which describes the contents of that directory.

Tags: badger-army-ammunition-plant, geoscientificinformation, groundwater, groundwater-flow, hydrogeology, mathematical-modeling, modflow-nwt, modpath7, sauk-county, united-states, usgs-627564f7d34e8d45aa6e21ae, usgsgroundwatermodel, water-resources, wisconsin, wisconsin-river
Organization: Department of the Interior
Early Estimates of Exotic Annual Grass (EAG) in the Sagebrush Biome, USA, 2022 (ver 6.0, July 2022)

These datasets provide early estimates of 2022 fractional cover for exotic annual grass (EAG) species and one native perennial grass species on a bi-weekly basis from May to early July. The EAG estimates are developed within one week of the latest satellite observation used for that version. Each bi-weekly release contains four fractional cover maps along with their corresponding confidence maps for: 1) a group of 16 species of EAGs, 2) cheatgrass (Bromus tectorum); 3) medusahead (Taeniatherum caput-medusae); and 4) Sandberg bluegrass (Poa secunda). These datasets were generated leveraging field observations from Bureau of Land Management (BLM) Assessment, Inventory, and Monitoring (AIM) data plots; Harmonized Landsat and Sentinel-2 (HLS) based Normalized Difference Vegetation Index (NDVI); HLS-based Normalized Difference Water Index (NDWI); other relevant environmental, vegetation, remotely sensed, and geophysical drivers; and artificial intelligence/machine learning techniques. A total of 19,415 AIM plots from years 2016 – 2021 were used to train an ensemble of five-fold regression-tree models using a cross-validation approach (each observation was used as test data once) that developed all the fractional cover maps. The geographic coverage includes arid and semi-arid rangelands in the western U.S at or below 2350-m elevation.
Note: Maps of May 6th, 2022 were developed using satellite observation data no later than April 29.
Maps of May 18th, 2022 were developed using satellite observation data no later than May 13.
Maps of June 3rd, 2022 were developed using satellite observation data no later than May 27.
Maps of June 15th, 2022 were developed using satellite observation data no later than June 11.
Maps of July 1st, 2022 were developed using satellite observation data no later than June 23.
First release: 2022
Revised: May 17, 2022 (ver. 2.0)
Revised: May 25, 2022 (ver. 3.0)
Revised: June 03, 2022 (ver. 4.0)
Revised: June 15, 2022 (ver. 5.0)
Revised: July 01, 2022 (ver. 6.0)

Tags: annual-grass, annual-herbaceous, arizona, california, cheatgrass, colorado, exotic, great-basin, harmonized-landsat-sentinel, idaho, invasive-species, kansas, medusahead, montana, ndvi, nebraska, nevada, new-mexico, nonindigenous-species, north-dakota, noxious, oklahoma, oregon, perennial-grass, poa-secunda, red-brome, remote-sensing, rye-brome, sagebrush, soft-brome, south-dakota, texas, texas-brome, united-states, usgs-62740d45d34e8d45aa6e1e26, utah, washington, western-united-states, wyoming
Organization: Department of the Interior
Discharge and water temperature data, Lake Powell thermal profiles, and Annual Thermal Units used to assess reintroduction feasibility of Colorado pikeminnow (Ptychocheilus lucius) in the Colorado River in Grand Canyon

These data were compiled to assess the physical attributes of the Colorado River and its tributaries in Grand Canyon, including discharge, water temperature, Annual Thermal Units, and the potential future thermal regime of the river due to climate change. The objective of our study was to assess whether this river reach could support various life stages of Colorado pikeminnow (Ptychocheilus lucius). These data represent discharge and water temperature in the river segment between Glen Canyon Dam and the Lake Mead inflow, as well as data from Lake Powell that drive water temperatures in Grand Canyon. These data were collected in the Colorado River in Grand Canyon from 1/1/1950 to 9/8/2021. These data were collected by the U.S. Geological Survey (discharge, water temperature, Lake Powell thermal profiles) and the Bureau of Reclamation (Lake Powell thermal profiles, reservoir surface elevation). These data were collected via field observation or by USGS stream gages. These data can be used to understand how discharge, water temperature, and changes in the elevation of Lake Powell affect the physical attributes of the river downstream from Glen Canyon Dam in order to evaluate habitat suitability of the reach for Colorado pikeminnow.

Tags: annual-thermal-units, arizona, climate-change, climatologymeteorologyatmosphere, colorado-pikeminnow, colorado-river, daily-discharge, data-release, elevation, environment, field-data, field-inventory-and-monitoring, field-observation, gage-09380000, glen-canyon-dam, grand-canyon, habitat-suitability, havasu-creek, inflow, inlandwaters, kanab-creek, lake-mead, lake-powell, lees-ferry, national-canyon, pearce-ferry, ptychocheilus-lucius, reintroduction-feasibility, reservoir-surface-elevation, spatial-change, stream-discharge, stream-gage-measurement, surface-elevation, temporal-change, thermal-profiles, usgs-6273e7c5d34e8d45aa6e1dc8, usgs-stream-gage, wahweap-station, water-temperature, western-grand-canyon
Organization: Department of the Interior
Flood-frequency data for select sites in the Esopus Creek Watershed, New York

This U.S. Geological Survey (USGS) data release contains batch formatted annual peak streamflow data (PkFlows_AllSites.txt) for the respective periods of record (through the 2020 or 2021 water year) for seven USGS streamgages in the upper Esopus Creek watershed in upstate New York. This data release also contains batch formatted specification (PkFlows_AllSites.psf) and output (PEAKFLOWS_ALLSITES.PRT) files from log-Pearson type III (LPIII) flood-frequency analysis of the annual peak streamflow data from version 7.3 of the USGS PeakFQ software (https://water.usgs.gov/software/PeakFQ/), and a csv file (FloodFrequencyEstimates.csv) with estimates of flood magnitudes for selected annual exceedance probabilities from three different types of flood-frequency analysis (LPIII, regional regression equations, and weighted LPIII). Annual peak streamflow data were obtained from the USGS National Water Information System (https://nwis.waterdata.usgs.gov/usa/nwis/peak). The station skew option was used in the PeakFQ LPIII analyses of all seven streamgages. Regional regression estimates were obtained for the locations of the streamgages using the StreamStats web application (https://streamstats.usgs.gov/ss/), which utilizes the regional regression equations presented in Lumia and others (2006). The weighted LPIII estimates are the LPIII estimates weighted with the regional regression estimates (Lumia and others (2006), equation 3) and are considered the most accurate of the three types of flood-frequency estimates . For this analysis, stationarity in the annual peak streamflow records was assumed after visual inspection of the records indicated no clear trends.

Tags: catskill-mountains, esopus-creek, floods, hydrology, new-york, streamflow, usgs-6273dc6dd34e8d45aa6e1d8b, water-resources
Organization: Department of the Interior
Model data archive--Trends in Selected Environmental, Anthropogenic, and Water-Quality Characteristics in the Upper White River Basin, Indiana, 1991-2020

The data.zip dataset contains metadata and total suspended solids, total phosphorus, nitrate plus nitrite, and total Kjeldahl nitrogen concentration data and associated daily mean streamflow data for the White River at Muncie, near Nora, and near Centerton, Indiana, 1991-2020

Tags: centerton, indiana, muncie, nora, nutrient-content-water, sediment-transport, usgs-62795871d34e8d45aa6e3c26
Organization: Department of the Interior
Harmonizing wetland soil organic carbon datasets to improve spatial representation of 2011 soil carbon stocks in the conterminous United States

These datasets represent a revised national scale estimate of wetland soil carbon stock assessments by improving representation of soil organic carbon densities. This assessment is based on a three-step approach to harmonize survey and point-based data for predicting soil organic carbon density from percent organic carbon alone (or percent organic matter, with conversion), when reliable dry bulk density information is not available. Given issues with survey-level extrapolation of soil pedons into discontinuous hydric soils, quantile, segmented data analysis provides a more accurate spatially explicit soil organic carbon density product. These modeled data leverage spatial and statistical distributions of soil organic carbon percent data of the conterminous United States (CONUS) for two national-scale soil datasets: a wetland-specific field campaign, the EPA National Wetland Condition Assessment, and the USDA NRCS SSURGO survey. See https://doi.org/10.3389/fsoil.2021.706701 for details.

Tags: biota, bulk-density, conus, hydric-soil, inland, soil-chemistry, soil-horizons, soil-organic-carbon, tidal, usgs-62583392d34e21f82770a05e, wetland
Organization: Department of the Interior
Digital elevation models (DEMs) of coastal North Carolina, from 2020-05-08 to 2020-05-09

Digital elevation models (DEMs) were created from aerial imagery collected May 08 and 09, 2020, along the North Carolina coast between the Virginia-North Carolina border vicinity and Cape Lookout, North Carolina. These DEMs were created to document recovery ground conditions after Hurricane Dorian, which made landfall on the North Carolina coast on September 6, 2019.
The DEMs help researchers document inter-annual changes in shoreline position and coastal morphology in response to storm events using aerial imagery collections and a structure from motion (SFM) workflow. These data can be used with geographic information systems or other software to identify topographic and shallow-water bathymetric features.

Tags: atlantic-ocean, barrier-island, bathymetry-and-elevation, beach, beaufort-inlet, cape-hatteras, cape-lookout, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, commonwealth-of-virginia, digital-elevation-models, digital-surface-models, duck-1025292, earth-sciences, fragile-ecosystems, geographic-information-systems-gis, geography, geomorphology, geoscientificinformation, geospatial-datasets, hatteras-inlet, hurricane-dorian, hurricanes, hurricanes-and-typhoons, imagerybasemapsearthcover, oceans, ocracoke-inlet, ophelia-inlet, oregon-inlet, outer-banks, pacific-coastal-and-marine-science-center, pamlico-sound, pcmsc, physical-habitats-and-geomorphology, remote-sensing, remote-sensing-coastal-change, saint-petersburg-coastal-and-marine-science-center, spcmsc, state-of-north-carolina, structure-from-motion, u-s-geological-survey, usgs, usgs-6273cc94d34e8d45aa6e1d63, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Database for the Preliminary Map of the Surface Rupture from the August 9, 2020, Mw 5.1 Earthquake Near Sparta, North Carolina-The Little River Fault and Other Possible Coseismic Features

This publication is a preliminary map and geodatabase of the coseismic surface rupture and other coseismic features generated from the August 9, 2020, Mw 5.1 earthquake near Sparta, North Carolina. Geologic mapping facilitated by analysis of post-earthquake quality level 0 to 1 lidar, document the coseismic surface rupture, named the Little River fault, and other coseismic features. The Little River fault is traced for approximately 4 kilometers and cuts the regional Paleozoic fabric (mean foliation, 063°/57°), and the dominant strike of joint sets are 0°–10°, 130°–150° and 320°–340°. Individual fault strands occur in an en echelon pattern within an approximately 10-meter-wide zone. Trenches across the Little River fault document a thrust fault oriented 110°/45° with at least 10 centimeters (cm) of displacement. The Little River fault is marked by a flexure or scarp with a height of 5-30 cm and a local maximum height of 50 cm. Southwest-side-up displacement is consistent along the fault and indicates thrust kinematics. The strike of the Little River fault changes from 110° to 130° near Duncan Farm where it crosses Chestnut Grove Church Road (NC Rt. 1426). Although the surface expression of the fault terminates and (or) is imperceptible at both ends, deformation is still clear in residual surface maps showing the change between pre- and post-earthquake lidar elevations. Other coseismic features documented are rockfalls, ground cracks, fissures, lateral spreading on a sandbar, and mass-wasting scarps; several possible faults that were identified from lidar analyses strike E-W and oblique to the Little River fault.

Tags: alleghany-county, alligator-back-metamorphic-suite, alluvium, amphibolite, ashe-metamorphic-suite, digitization, earthquakes, field-methods, field-sampling, foliation-geologic, geologic-maps, geologic-processes, geologic-structure, geology, geophysics, geoscientificinformation, gneiss, gps-measurement, igneous-rocks, information-technology-methods, lidar, lineation-geologic, metamorphic-rocks, metasedimentary-rock, mineral-resources, north-america, north-carolina, plutonic-rocks, remote-sensing, schist, seismology, sparta, specimen-collecting, structural-geology, structure, tectonic-processes, trenching, united-states, uplift, usgs-6273cbacd34e8d45aa6e1d5d
Organization: Department of the Interior
List of caterpillar species found on common host plants at Hakalau Forest NWR

This data release includes metadata and tabular data that documents the common plant species found at Hakalau Forest National Wildlife Refuge and the caterpillar species known to be associated with those plants.

Tags: biota, caterpillars, hakalau-forest-national-wildlife-refuge, hawaii-island, host-plants, usgs-62775599d34e8d45aa6e3017
Organization: Department of the Interior
Mandible types of caterpillars at Hakalau Forest National Wildlife Refuge

This data release includes metadata and tabular data that documents unique types of mandibles dissected from caterpillars collected from different plant species at Hakalau Forest National Wildlife Refuge during 2017-2018.

Tags: biota, caterpillars, hakalau-forest-national-wildlife-refuge, hawaii-island, host-plants, mandible-type, usgs-627754f4d34e8d45aa6e3000
Organization: Department of the Interior
Native and Non-Native Fish Species in the Willamette River Basin, Oregon

The Willamette River Basin, Oregon, supports native fish species and non-native fish species introduced for sport fisheries or accidentally from aquarium releases and other sources. Based on fish surveys completed from 1998 to 2018 by Oregon State University and records from the Oregon State University Ichthyology Collection, the Willamette River Basin has 34 native fish species found upstream of the confluence of the Willamette and Columbia Rivers and 28 non-native fish species. Each native and non-native fish species has its own thermal tolerances and diet, spawning, and vertical preference traits. This means that distributions of native and non-native fishes along the river network are shaped by physical factors (such as water temperature, water depth and velocity, and suitable spawning habitats; Williams, 2014) as well as biological factors (such as available food resources).
This compilation summarizes the: 1) thermal tolerances; 2) diet, spawning, and vertical preference traits; and 3) locations of relative detection frequencies for native and non-native riverine fish species found along the Willamette River network as of 2018. This information is based on fish surveys completed from 1998 to 2018 by Oregon State University, records from the Oregon State University Ichthyology Collection, and thermal tolerances, spawning traits, and diet as adults from the literature (Williams, 2014). Where necessary, USGS added diet and spawning trait information from Frimpong and Angermeier (2013).

Tags: albany, aquatic-biology, benthic, biota, columbia-river, fish, floodplain, inlandwaters, large-river, lower-willamette-river, mainstem, middle-willamette-river, native-fish, native-species, newberg, non-benthic, non-native-fish, nonindigenous-species, off-channel, oregon, river, spawning-traits, species-traits, tributary, upper-willamette-river, usgs-6272b2dbd34e76103cd644e1, willamette-basin, willamette-falls, willamette-river
Organization: Department of the Interior
Aerial Imagery from Fixed-wing Aircraft System - Prime Hook National Wildlife Refuge, Delaware: 2019

Aerial imagery was collected by a contractor using a fixed wing aircraft fitted with Post-Processing Kinematic (PPK) GPS, was processed using Structure-from-Motion (SfM) photogrammetry techniques to produce high-resolution orthomosaic images, three-dimensional (3D) point clouds and digital elevation models (DEMs). Surveyed Ground Control Points (GCPs) visible in the imagery are used to supplement the calculated elevation and PPK position data. This dataset, produced by the U.S. Geological Survey (USGS) MD-DE-DC Water Science Center, consists of a point cloud generated from the survey of Prime Hook National Wildlife Refuges in Delaware in order to observe annual changes.
Structure-from-Motion software, Agisoft Metashape, was used to perform processing on low-altitude digital aerial imagery acquired by a contractor utilizing a fixed wing aircraft. The aircraft has been modified with a camera port fitted with a Sony A7R camera and equipped with a custom Post-Processing Kinematic GPS device. The surveys were conducted using temporary targets (black and white, 4-square checkered pattern), and pre-existing points (road markings) distributed throughout the flight operations area as GCPs. 
This dataset was produced using the 4D method of Structure-from-Motion, combining multiple years of images and GCPs into a single project to assist in alignment. Each year's chunk was then checked, cleaned, and exported individually. 
All horizontal data are referenced to the North American Datum of 1983 (NAD83 (2011)) UTM zone 18N, and elevation is referenced to the North American Vertical Datum of 1988 (NAVD88) in meters, GEOID12B.

Tags: coastal-processes, delaware, fowler-beach, geoscientificinformation, geospatial-datasets, imagerybasemapsearthcover, location, prime-hook-national-wildlife-refuge, remote-sensing, topographic-maps, topography, u-s-geological-survey, usgs, usgs-6271a3d6d34e76103cd58790
Organization: Department of the Interior
Data from across the USA Used to Assess the Uncertainty of Discharge Estimates Using a Modified Manning's Equation

An expanding effort exists to estimate discharge of rivers utilizing remote sensing measurements. The goal of this investigation is to evaluate the uncertainty associated with estimating streamflow using remote sensing practices. This data release contains in-situ observations of river width, depth, velocity, and discharge from 30 U.S. Geological Survey (USGS) gaged study reaches (USGSGagedTestSiteMeasurements.csv) obtained from the USGS National Water Information System (NWIS) Surface Water Field Measurements to assess the uncertainty associated with estimating discharge using a modified Manning's equation model. The R code (CalibrationObservationsExp_sampleRandomDF.R) was used to randomly sample observations for user defined sample sizes to test uncertainty related to calibration with limited observations. The ExperimentInputFiles zip file contains a subset of the USGS gaged observation dataset that served as input values to the attached R code found in the R_Script zip file. Geomorphic characteristics (parameters.csv) of the study reaches and associated drainage basins were used to investigate relations between site conditions and accuracy of discharge estimates obtained using the modified Manning's equation. Surface water height and slope data from the Tanana River near Fairbanks, Alaska (TananaRiver_Fairbanks_DynamicSurfaceWaterSlope.csv) were used to assess the influence of static and dynamic slope values on estimating discharge.

Tags: modelling, remote-sensing, stream-discharge, usgs-62717207d34e76103cd58620
Organization: Department of the Interior