AndreaBozzo/ceres-open-data-index huggingface dataset:
Airborne Electromagnetic (AEM) Survey Inventory

The U.S. Geological Survey (USGS) has been engaged in airborne electromagnetics (AEM) since the 1970s, playing a role in the development of early acquisition systems, developing calibration methods, refining standards for data acquisition, improving data processing, modeling, and interpretation methods, and expanding the range of AEM applications. However, USGS AEM survey visibility and data accessibility has not advanced as rapidly as our use of the technique. This data release catalogs AEM surveys in the United States that have contributed to studies under USGS programs including Water, Geologic Mapping, Minerals, Energy, Environmental Health, Ecosystems, Hazards, and Climate. This dataset contains locations for known and inventoried surveys, shows the footprints of the survey area, and summarizes basic survey specifications and publication status. It deviates from the national airborne geophysical survey inventory (https://mrdata.usgs.gov/airborne/): the AEM-specific data release catalogs completed and contracted AEM surveys including those that have not been published to date. This release also includes an indicator of activity status with the intent of improving utility and leading to regular updates; inactive (studies utilizing these data are complete), active (data are currently being used as part of on-going USGS research), and planned (acquisition is currently in progress at publication date).

Tags: arizona, california, colorado, electromagnetic-surveying, florida, frequency-domain, geophysics, geoscientificinformation, geospatial-datasets, iowa, louisiana, michigan, mississippi, montana, nebraska, nevada, new-mexico, oklahoma, oregon, resistivity, south-dakota, texas, time-domain, united-states, usgs-5beda2ede4b0b3fc5cf922b8, utah, washington, wisconsin, wyoming
Organization: Department of the Interior
Flood-inundation area for the Yellow River in Gwinnett County, Georgia from Stone Mountain Highway to Centerville Highway

The digital flood-inundation maps included in this data release were developed for a 16.4-mile reach of the Yellow River from 0.5-mile upstream of River Drive to Centerville Highway (Georgia State Route 124), Gwinnett County, Georgia (Ga.) to depict estimates of the areal extent and depth of flooding corresponding to selected water levels (stages) at two U.S. Geological Survey (USGS) streamgages in the mapped area. The maps for the 9.0-mile reach from 0.5-mile upstream of River Drive to Stone Mountain Highway (US Route 78) are referenced to the Yellow River, near Snellville, Georgia (Ga.; station 02206500), and the maps for the 7.4-mile reach from Stone Mountain Highway to Centerville Highway are referenced to the streamgage Yellow River at Ga. 124, near Lithonia, Ga. (02207120). Real-time stage information from these streamgages can be used with these maps to estimate near real-time areas of inundation. The forecasted peak-stage information for the USGS streamgages Yellow River, near Snellville, Ga. (02206500), and Yellow River at Ga. 124, near Lithonia, Ga. (02207120), can be used in conjunction with the maps developed for this study to show predicted areas of flood inundation. A one-dimensional step-backwater model was developed using the U.S. Army Corps of Engineers Hydrologic Engineering Center's River Analysis System (HEC-RAS) software for the Yellow River and was used to compute flood profiles for this 16.4-mile reach of the Yellow River. The hydraulic model was then used to simulate 16 water-surface profiles at 1.0-foot (ft) intervals at the Yellow River near Snellville, Ga. streamgage and 17 water-surface profiles at 1.0-ft intervals at the Yellow River near Lithonia, Ga. streamgage. At the Yellow River near Snellville, Ga. streamgage, the profiles ranged from a stage of 18.0 ft, which is 819.1 ft above the North American Vertical Datum of 1988 (NAVD 88), to a stage of 33.0 ft, which is 834.1 ft above NAVD 88. At the Yellow River at Ga. 124, near Lithonia, Ga. streamgage, the profiles ranged from the National Weather Service action stage of 13.0 ft, which is 732.5 ft above NAVD 88, to a stage of 29.0 ft, which is 748.5 ft above NAVD 88. The simulated water-surface profiles were then combined with a geographic information system digital elevation model derived from light detection and ranging (lidar) data having a 5.0-ft horizontal resolution to delineate the area flooded at each 1.0-ft interval of stream stage for each streamgage. Information about the study, floods, and methods used can be found in the USGS Scientific Investigations Report 2019-5009 online at https://doi.org/10.3133/sir20195009.

Tags: flood-inundation-maps, flooded-area, floods, georgia, geospatial-analysis, gwinnett-county, high-water-marks, river-reaches, stream-discharge, usgs-5bec4656e4b0b3fc5cf91437
Organization: Department of the Interior
Estimates of mineral abundances based on Rietveld refinement of X-ray diffraction data from mill tailings and other ore processing materials

This worksheet displays the results of mineral abundance estimates based on Rietveld refinement of X-ray diffraction (XRD) analyses of mill tailings and other ore processing materials from worldwide localities. Data are also provided to show variation in mineral abundance estimates for subsplits in individual samples.  Samples were analyzed using a PANalytical X'Pert Pro diffractometer using Cu radiation and the results interpreted using Highscore Plus v.4.7.

Tags: alaska, california, canada, china, colorado, finland, idaho, illinois, maine, mine-waste, minnesota, missouri, new-zealand, peru, slovakia, sweden, tenneessee, usgs-5bec30d2e4b0b3fc5cf913e0, utah, vermont, virginia
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 Bradford County, Pennsylvania, May-August 2016

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 72 domestic wells sampled by the U.S. Geological Survey in Bradford County, Pennsylvania, May-August 2016. 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: bradford-county, groundwater, marcellus, pennsylvania, usgs-5bec268fe4b0b3fc5cf913d4, water-quality, well-water
Organization: Department of the Interior
Trace element chemistry of sulfides and quartz, in situ sulfur isotope values of sulfides, cathodoluminescence of quartz, fluid inclusion microthermometry and raman, and radiogenic isotope and whole rock geochemistry from the Stibnite-Yellow Pine district, Idaho 2016-2022

This dataset is a collection of geochemical data on samples from the Stibnite-Yellow Pine district of Idaho.  The datasets include: whole rock geochemistry; lead, strontium and neodymium isotope chemistry of sulfides and whole rock samples by isotope dilution-thermal-mass spectrometry (ID-TIMS); in situ sulfur isotope chemistry of sulfides by laser ablation-multi collector-inductively coupled-mass spectrometry (LA-MC-ICP-MS); electron microprobe (EMP) images, cathodoluminescence (CL) images and spectra, along with EMP and laser ablation-inductively coupled-mass spectrometry (LA-ICP-MS) trace element analysis of sulfides and quartz; and fluid inclusion microthermometry and raman. Samples were collected from the surface and from a series of drill holes transecting the Yellow Pine, Hangar Flats, and West End deposits within the district.  Sample were submitted for USGS contract laboratory analysis and processed for ID-TIMS isotopic analysis. High-contrast backscattered electron (BSE) scanning electron microscope SEM imaging were collected to determine zonation, followed  by of EMP analysis, followed by a selection of LA-ICP-MS and LA-MC-ICP-MS analysis.  After determining mineral and fluid inclusion paragenesis by studying optical petrography and SEM imagery, fluid inclusion microthermometric data and raman spectra were collected.

Tags: arsenopyrite, cinnabar, economic-geology, economy, geochemistry, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, gold, hangar-flats, idaho, mass-spectroscopy, metallic-mineral-resources, mineral-resources-program, mineralogy, mrp, particle-beam-spectroscopy, pyrite, scanning-electron-microscopy, stibnite, u-s-geological-survey, usgs, usgs-5beb4831e4b0b3fc5cf9040f, west-end, yellow-pine-mine
Organization: Department of the Interior
Evapotranspiration Units for Tule Valley and part of Sevier Valley, Utah

This data set represents evapotranspiration (ET) units based on a 2017-2018 summer mean modified soil adjusted vegetation index (MSAVI). The MSAVI information was used to partition Tule Valley and part of Sevier Valley, UT into six discharging ET units (playa; open water; very sparse desert shrub; sparse-to-dense desert shrub; grassland; and dense meadow and marshland), and scale estimates of groundwater evapotranspiration (ETg) to the basin level. ET units represent generalized groupings of vegetation and soil conditions. The units are constrained by a groundwater discharge area (GDA) which represents the area where discharge from evaporation by open water or bare soil and transpiration from phreatophytic plants exceeds the volume of water contributed by precipitation.

Tags: et, evaporation, evapotranspiration, great-basin, groundwater, groundwater-discharge, inlandwaters, juab-county, millard-county, phreatophytes, transpiration, usgs-5be8aa48e4b0b3fc5cf8d69d, utah
Organization: Department of the Interior
Scaled Modified Soil Adjusted Vegetation Index for Tule Valley and part of Sevier Valley, Utah

The mean MSAVI image is based on two Landsat 5 Thematic Mapper (TM) scenes representing midsummer conditions in 2007 and 2008. MSAVI was calculated for each image which were then combined by calculating the mean for each pixel in the scenes. The resultant MSAVI image was used to estimate vegetation assemblages (ET units) within a mapped groundwater discharge area.

Tags: et, evaporation, evapotranspiration, great-basin, groundwater, groundwater-discharge, inlandwaters, juab-county, millard-county, phreatophytes, transpiration, usgs-5be8a895e4b0b3fc5cf8d699, utah
Organization: Department of the Interior
Groundwater Discharge Area for Tule Valley and part of Sevier Valley, Utah

The groundwater discharge area (GDA) in Tule and part of Sevier valley represents the 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 GDA was delineated during field reconnaissance of the study area using techniques similar to those used in previous studies throughout Nevada and eastern Utah.

Tags: et, evaporation, evapotranspiration, great-basin, groundwater, groundwater-discharge, inlandwaters, juab-county, millard-county, phreatophytes, transpiration, usgs-5be8a5dae4b0b3fc5cf8d692, utah
Organization: Department of the Interior
Flume facility data collection at the S.O. Conte Anadromous Fish Research Laboratory in Turners Falls, MA for the 2016-2017 Fishway Entrance Gate Project

This data was collected over the course of two years, from 2016 to 2017, within the flume facility laboratory.  The research project that was conducted evaluated different fishway entrance designs and their effect on the passage of adult American shad (Alosa sapidissima).  The data consists of 15 columns and 1925 rows.  Each row entry pertains to the performance of a single fish during one of 64 trials over the two year period.  Columns give information on the treatment condition (e.g. entrance gate designs, headwater/tailwater elevations), water quality (e.g., water temperature, turbidity), fish specific information (e.g. sex, fork length, handling), passage time, and the censor value used in the statistical analysis.

Tags: animal-behavior, aquatic-ecosystems, franklin-county, human-impacts, hydraulic-engineering, migratory-species, turners-falls, usgs-5be60e03e4b0b3fc5cf8c9df
Organization: Department of the Interior
Digital Surfaces of the bottom altitude and thickness of the Mississippi River Valley alluvial aquifer and site data within the Mississippi Alluvial Plain project region

Bottom altitudes of the Mississippi River Valley alluvial aquifer (MRVA) were compiled from interpretations of subsurface geophysical logs (log picks) at about 10,000 boreholes and wells located throughout the Mississippi Alluvial Plain (MAP) that were available from previous investigations. Five sources of the bottom altitude data are listed numerically in the Cross Reference section (below) and correspond with the Ref_code listed in the .shp dataset. Borehole geophysical data (log picks) were referenced (corrected) to the National Elevation Dataset (NED) 10-meter digital elevation model (DEM; https://nationalmap.gov/elevation.html). Log picks that required a DEM correction of less than 20 feet were retained for use in a subsequent geostatistical estimation of the MRVA bottom altitude, after additional filtering to remove duplicate log picks yielded a MRVA bottom-altitude dataset of 9,292 data points, described in this data release. Values of MRVA thickness were prepared by subtracting bottom altitudes from DEM values at the data locations. A second filtering of MRVA bottom-altitude data based on results of geostatistical analytical procedures and analysis of updated log picks in the Mississippi Delta region from Cross Reference 3 generated the 6,604-element dataset of MRVA bottom altitude and thickness described in this data release.

Tags: arkansas, arkansas-river, cross-validation, crowleys-ridge, geostatistics, hydrogeology, kriging, louisiana, lower-mississippi-gulf-water-science, mississippi, mississippi-alluvial-plain, mississippi-river, mississippi-river-delta, mississippi-river-valley-alluvial-aquifer, mississippi-valley, missouri, tennessee, usgs-5be576dce4b0b3fc5cf8c6b5, variogram-modeling
Organization: Department of the Interior
Initial hydraulic heads for the transient ground-water flow model, Death Valley regional ground-water flow system, Nevada and California

This digital data set defines the hydraulic-head values in 16 model layers used to initiate the transient 
simulation of the Death Valley regional ground-water flow system (DVRFS) model. The area simulated 
by the DVRFS transient ground-water flow model is an approximately 45,000 square-kilometer region 
of southern Nevada and California. In order to reduce model execution time, hydraulic head values 
output from the steady-state simulation of the DVRFS were used as starting hydraulic heads for the 
transient simulation of the DVRFS ground-water flow model. The DVRFS transient ground-water flow 
model is one of 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, hydraulic-head, hydrology, initial-hydraulic-head, 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, steady-state-ground-water-model, stewart-valley, stone-cabin-valley, tecopa, transient-ground-water-model, usgs-5be48e13-d584-486a-b1d5-dee7b9a4d7a8, yucca-mountain
Organization: Department of the Interior
Genetic data from Red-cockaded woodpeckers (Dryobates borealis) used to assess changes in population genetic differentiation and diversity over the past century throughout the southeastern United States.

These data include nuclear microsatellite data and mitochondrial DNA sequences (mtDNA) for specimens of Red-cockaded woodpeckers collected from three time points: 1881-1969 (mtDNA only), 1992-1994, and 2010-2014. Additional information regarding individual identifiers, population assignment, regional assignment, and eco-regional assignment are included as are longitude/latitude coordinates for populations.

Tags: biota, dryobates-borealis, endangered-species, environment, genetic-differentiation, genetic-diversity, microsatellite-dna, mitochondrial-dna, red-cockaded-woodpecker, temporal-comparisons, usgs-5be333bae4b0b3fc5cf73a99
Organization: Department of the Interior
Salinity yield modeling spatial data for the Upper Colorado River Basin, USA

These data (vector and raster) were compiled for spatial modeling of salinity yield sources in the Upper Colorado River Basin (UCRB) and describe different scales of watersheds in the Upper Colorado River Basin (UCRB) for use in salinity yield modeling. Salinity yield refers to how much dissolved salts are picked up in surface waters that could be expected to be measured at the watershed outlet point annually. The vector polygons are small catchments developed originally for use in SPARROW modeling that break up the UCRB into 10,789 catchments linked together through a synthetic stream network. The catchments were used for a machine learning based salinity model and attributed with the new results in these vector GIS datasets. Although all of these feature classes include the same polygons, the attribute tables for each include differing outputs from new salinity models and a comparison with SPARROW model results from previous research. The new model presented in these datasets utilizes new predictive soil maps and a more flexible random forest function to improve on previous UCRB salinity spatial models. The raster data layers represent aspects of soils, topography, climate, and runoff characteristics that have hypothesized influences on salinity yields.

Tags: arizona, biota, catchments, colorado, colorado-river, colorado-river-basin, digital-soil-mapping, dissolved-solids, erosion, green-river, irrigation, load, new-mexico, salinity, salinity-model, salinity-yield, soil-mapping, soil-sciences, spatial-modeling, upper-colorado-river-basin, usgs-5be0b9bce4b0b3fc5cf34277, utah, water-quality, wyoming, yield
Organization: Department of the Interior
Surface water area data for isolated stock ponds in southern Arizona, USA and northern Sonora, Mexico

These data were compiled to compare the ability of matched filtering (MF) and linear spectral mixture analysis (LSMA) to map isolated wetland sites using Landsat 5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI) data. We analyzed 81 stock ponds corresponding to a 2007 Landsat 5 image and 73 sites corresponding to a 2014 Landsat 8 image in southern Arizona and northern Sonora, Mexico, with ponds ranging from completely dry to ~17,000 m2 surface water. Both Landsat images we used were Tier 1 Level-1 terrain corrected scenes acquired from Earth Explorer (https://earthexplorer.usgs.gov), which were provided as individual bands represented by digital numbers (DNs). The inundation extent of stock ponds in the San Rafael Valley and surrounding areas was assessed. The northern part of the valley is in Santa Cruz County, Arizona, and extends into the northern part of Sonora, Mexico. The area ranges from ~1,400 to 1,500 m in elevation, with surrounding mountains &gt;1,800 m. Annual precipitation averages ~438 mm in the valley, with the majority (~270 mm) of rainfall occurring during the summer monsoon season.

Tags: arizona, biota, ecology, image-collections, imagerybasemapsearthcover, landsat-5-thematic-mapper-tm, landsat-8-operational-land-imager-oli, linear-spectral-mixture-analysis, matched-filtering, mexico, multispectral-imaging, northern-mexico, riparian-ecosystems, san-rafael-valley, santa-cruz-county, sonora, southern-arizona, stock-ponds, surface-water, united-states, usgs-5be0b280e4b0b3fc5cf34091, wetland-ecosystems
Organization: Department of the Interior
Circa 2015 Land Area in Coastal Louisiana - Spatial Data - Landsat TM

The dataset presented here represents a circa 2015 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016.  The dataset contains two categories, land and water.  For the purposes of this effort, land includes  areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water.  For additional information regarding this dataset, refer to USGS SIM 3381.

Tags: central-louisiana-coastal, east-central-louisiana-coastal, eastern-louisiana-coastal, louisiana, louisiana-coastal, usgs-5be0a491e4b0b3fc5cf33eb0, west-central-louisiana-coastal, wetland-change, wetland-gain, wetland-loss, wetlands
Organization: Department of the Interior
Circa 2013 Land Area in Coastal Louisiana - Spatial Data - Landsat TM

The dataset presented here represents a circa 2013 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016.  The dataset contains two categories, land and water.  For the purposes of this effort, land includes  areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water.  For additional information regarding this dataset, refer to USGS SIM 3381.

Tags: central-louisiana-coastal, east-central-louisiana-coastal, eastern-louisiana-coastal, louisiana, louisiana-coastal, usgs-5be0a453e4b0b3fc5cf33eac, west-central-louisiana-coastal, wetland-change, wetland-gain, wetland-loss, wetlands
Organization: Department of the Interior
Circa 2009 Land Area in Coastal Louisiana - Spatial Data - Landsat TM

The dataset presented here represents a circa 2009 land/water delineation of coastal Louisiana used in part of a larger study to quantify landscape changes from 1932 to 2016.  The dataset contains two categories, land and water.  For the purposes of this effort, land includes  areas characterized by emergent vegetation, upland, wetland forest, or scrub-shrub were classified as land, while open water, aquatic beds, and mudflats were classified as water.  For additional information regarding this dataset, refer to USGS SIM 3381.

Tags: central-louisiana-coastal, east-central-louisiana-coastal, eastern-louisiana-coastal, louisiana, louisiana-coastal, usgs-5be0a15ee4b0b3fc5cf33ea2, west-central-louisiana-coastal, wetland-change, wetland-gain, wetland-loss, wetlands
Organization: Department of the Interior