AndreaBozzo/ceres-open-data-index huggingface dataset:
Sulfide Electron Microprobe Analyses and Petrography of Mineralized Samples from the Stratabound Sheep Creek Sediment-Hosted Zn-Pb-Ag-Sn Prospect, and SHRIMP U–Pb Zircon Data for Metaigneous Rocks in the Bonnifield Mining District, Healy Quadrangle, Alaska

This dataset contains 99 electron microprobe analyses of cassiterite, chalcopyrite, galena, pyrite, sphalerite, and tetrahedrite from seven Sheep Creek drill core samples and one outcrop; and a table that describes the textures, mineralogy, and rock type of 15 thin sections of Sheep Creek drill core and observations from our study and from drill core logging by industry. These data were used to compare this prospect with others in the Bonnifield district. The dataset also contains tables of sensitive high-resolution ion microprobe (SHRIMP) U-Pb zircon dates, zircon characteristics (crystal shape, external morphology, internal features, color, aspect ratio, and cathodoluminescence zoning), and 139 U-Th-Pb analyses of the zircons from 11 metaigneous rocks collected during 1997-2005 fieldwork in the Bonnifield mining district, Alaska Range. Our zircon geochronology indicates that volcanogenic massive sulfide deposits in the Bonnifield district are hosted in felsic metavolcanic rocks that yield ages based on weighted averages of 206 Pb/238U ages (± 2-sigma errors) of 362 ± 2 Ma. These rocks overlie the stratigraphic sequence at the Sheep Creek prospect, where metaigneous rocks give ages of 372 ± 4 Ma to 366 ± 4 Ma.

Tags: age-determinations, alaska, bonnifield, electron-microprobe, geochronology, geoscientificinformation, healy, igneous-rocks, isotopes, isotopic-analysis, metamorphic-rocks, mineral-chemistry, radioactive-elements, radiometric-dating, sulfide-petrography, u-pb-geochronology, uranium-lead-analysis, uranium-thorium-analysis, usgs-asc549
Organization: Department of the Interior
Shapefiles of the flood-inundation maps for the North Fork Kentucky River at Hazard, Kentucky

Digital flood-inundation maps were created for a 7.1-mile reach of the North Fork Kentucky River at Hazard, Kentucky. The flood-inundation maps, which can be accessed through the U.S. Geological Survey (USGS) Flood Inundation Mapping Science website at https://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 North Fork Kentucky River at Hazard, Kentucky (USGS station number 03277500). Near-real-time stages at this streamgage may be obtained on the Internet from the USGS National Water Information System at https://waterdata.usgs.gov/ or the National Weather Service (NWS) Advanced Hydrologic Prediction Service (AHPS) at https://water.weather.gov/ahps/, which also forecasts flood hydrographs at this site (NWS AHPS site HAZK2). The NWS AHPS forecast peak stage information may be used with the maps developed in this study to show predicted areas of flood inundation. Flood profiles were computed for the North Fork Kentucky River reach by means of a one-dimensional, step-backwater model developed by the U.S. Army Corps of Engineers. The hydraulic model was calibrated by using the current stage-discharge relation (USGS rating no. 24.0) at USGS streamgage 03277500, North Fork Kentucky River at Hazard, Kentucky. The calibrated hydraulic model was then used to compute 26 water-surface profiles for flood stages at 1-foot (ft) intervals referenced to the streamgage datum and ranging from approximately bankfull (14 ft) to the highest even-foot increment stage (39 ft) of the current stage-discharge rating curve. The simulated water-surface profiles 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 North Fork Kentucky River at Hazard, Kentucky, 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, hazard, kentucky, north-fork-kentucky-river, perry-county, river, stream, united-states-of-america, usgs-5b897d13e4b0702d0e7cd344
Organization: Department of the Interior
Forage Fish Aerial Validation Data from Prince William Sound, Alaska

One table with data used to validate aerial fish surveys in Prince William Sound, Alaska. Data includes: date, location, latitude, longitude, aerial ID, validation ID, total length and validation method. Various catch methods were used to obtain fish samples for aerial validations, including: cast net, GoPro, hydroacoustics, jig, dip net, gillnet, purse seine, photo and visual identification.

Tags: alaska, animals-vertebrates, biota, coastal-ecosystems, environment, fish, fisheries, food-fishes, forage-fish, gulf-of-alaska, marine-ecosystems, marine-fishery-resources, oceans, pelagic-habitat, prince-william-sound, usgs-asc523
Organization: Department of the Interior
Water-table contours for the Arikaree aquifer, Pine Ridge Indian Reservation and Bennett County, South Dakota

This data set describes the water-table contours that were used to create a map of the generalized 
potentiometric surface of the Arikaree aquifer in the Pine Ridge Indian Reservation and Bennett County. 
The contours were based on water levels in wells completed in the Arikaree aquifer that were measured 
between 1929 and 2006.

Tags: arikaree-aquifer, bennett-county, hydraulic-head, inlandwaters, jackson-county, pine-ridge-indian-reservation, potentiometric-surface, shannon-county, south-dakota, usgs-cf623ed8-8ae4-4056-a853-08379ac6c0e4, water-table
Organization: Department of the Interior
Stations in the USGS's National Stream Quality Accounting Network (NASQAN)

This is a point coverage of stations in the U.S. Geological
Survey's National Stream Quality Accounting Network (NASQAN).
NASQAN was established in 1973.  Water-quality data currently is
collected at NASQAN sites on bimonthly and quarterly intervals.
However, some of the bimonthly stations will be sampled only five
times a year beginning in 1992.
		
Separate coverages exist for the conterminous United States,
Alaska, Hawaii/Guam, and Puerto Rico.  The coverages attempt to
represent all of the stations that are or have been in the network
(some are inactive or discontinued) as of spring 1992.
		
United States
Water quality
Surface water

Tags: environment, geoscientificinformation, inlandwaters, national-stream-quality-accounting-network-stations, usgs-a1cda12f-5f8f-402e-b0a9-7119151718b3
Organization: Department of the Interior
Aerial photo mosaic of the Nehalem River, Oregon in 1939

The Tillamook Bay subbasins and Nehalem River basins encompass 1,369 and 2,207 respective square 
kilometers of northwestern Oregon and drain to the Pacific Ocean. The Tillamook, Trask, Wilson, Kilchis, 
and Miami Rivers flow into Tillamook Bay near the towns of Tillamook and Garibaldi. The Wilson and 
Trask River basins cover the largest areas (500 and 451 square kilometers, respectively) whereas the 
Tillamook and Kilchis Rivers encompass similar sized areas (156 and 169 square kilometers, respectively) 
and the Miami River the smallest area (94 square kilometers). In cooperation with the U.S. Army Corps 
of Engineers, the U.S. Geological Survey completed a reconnaissance-level assessment of channel 
condition and bed-material transport relevant to the permitting of in-stream gravel extraction along the 
major alluvial portions of six river systems, including the lowermost 14.1 km of the Tillamook River, 
16.3 km of the Trask River, 15.2 km of the Wilson River, 7.8 km of the Kilchis River, 11.6 km of the 
Miami River, and 31.4 km of the Nehalem River. To support these analyses, digital channel maps 
were produced to depict channel and floodplain conditions in the Tillamook Bay sub-basins and Nehalem 
River basin from different time periods. GIS layers defining the wetted channel and bar features and 
channel centerline in the study area were developed for four time periods: 1939, 1967, 2005, and 2009. 
For this project, the active channel was defined as area typically inundated during annual high flows, 
and includes the low-flow channel as well as side channels, islands, and channel-flanking gravel bars. 
The wetted channel and bar feature datasets were developed by digitizing from aerial photographs. 
Aerial photographs from 1939 and 1967 were scanned, rectified, and mosaicked for this project 
(See metadata for each photograph set for more information on the rectification process and resolution 
of each dataset). Digital orthophotographs from 2005 and 2009 are publicly available.

Tags: aerial-photograph, channel-stability, environment, fluvial-geomorphology, geoscientificinformation, historical-channel-change, inlandwaters, kilchis-river, miami-river, nehalem-bay, nehalem-river, oregon-coast-range, sediment-transport, tillamook-bay, tillamook-county, tillamook-river, trask-river, usgs-40c2bf68-01a5-4fd3-bcbf-50a8b0bdd8d8, wilson-river
Organization: Department of the Interior
Structure-from-Motion point clouds from the Florida Keys, 2019

Structure-from-Motion (SfM) point clouds were created from seafloor images collected using the new 5-camera system SfM Quantitative Underwater Imaging Device with Five Cameras (SQUID-5). Images were collected in July 2019 by towing the SQUID-5 in 3 to 4 meters of water off of Islamorada in the Florida Keys during 3 days. The five cameras were synchronized together and with a survey-grade Global Positioning System (GPS). Images were collected over diverse benthic settings, including living and senile reefs, rubble, and sand. Point clouds were created from the photos using SfM photogrammetric software.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, cmgp, cmhrp, coastal-and-marine-geology-program, coastal-and-marine-hazards-and-resources-program, crocker-reef, data-processing, elevation, florida-keys, geospatial-datasets, oceans, pacific-coastal-and-marine-science-center, pcmsc, remote-sensing, sea-floor-characteristics, seabed, spcmsc, st-petersburg-coastal-and-marine-science-center, state-of-florida, straits-of-florida, u-s-geological-survey, usgs, usgs-96a9ce9f-a9f9-4d7d-b3e5-c2752477e2c1
Organization: Department of the Interior
Monitoring Hawaiian Biodiversity: Pilot study to assess changes to Hawaii Island forest birds and their habitat - 1977 vegetation species dataset

The Hawaii Forest Bird Survey (HFBS) systematically characterized plant and bird communities across transects spanning all major Hawaiian Islands except O‘ahu. This extensive dataset has now been organized into a database and associated geographic information system (GIS) layers. This baseline provides an opportunity to assess how forest ecosystems and their constituent bird and plant populations have changed over time. As part of the HaBiTATS (Hawaiian Biodiversity Trends Across Time and Space) project, a select area on Hawai‘i Island was surveyed in 2015 with the objective of demonstrating the potential of using the HFBS methodology to reassess the status of bird and plant communities across multiple geographic regions and islands. The results of the comparative study presented herein highlight examples of the apparent vulnerability and resiliency of native-dominated Hawaiian ecosystems. Specific study objectives were to: (1) collect information on plant and bird species community composition, abundance, and spatial distribution following the original HFBS methodology; (2) assess changes in several biodiversity metrics; (3) examine changes in the distribution of invasive non-native species as well as changes in land use as potential drivers of native biodiversity patterns, and (4) demonstrate field and data analysis methods that may be applied to a large-scale biodiversity monitoring program. This is the vegetation species dataset from 1977.

Tags: biodiversity, biota, climate-change, ecological-drivers, hamakua, hawaii-island, invasive-species, land-use, pacific-ocean, species-composition, state-of-hawaii, usgs-5bee5ed6e4b08f163c24a184, vegetation-species
Organization: Department of the Interior
Baseline for the Florida panhandle (FLph) coastal region generated to calculate shoreline change rates using the Digital Shoreline Analysis System version 5

During Hurricane Irma in September 2017, Florida and Georgia experienced significant impacts to beaches, dunes, barrier islands, and coral reefs.  Extensive erosion and coral losses result in increased immediate and long-term hazards to shorelines that include densely populated regions. These hazards put critical infrastructure at risk to future flooding and erosion and may cause economic losses. The USGS Coastal and Marine Hazards Resources Program (CMHRP) is assessing hurricane-induced coastal erosion along the southeast US coastline and implications for vulnerability to future storms.

Tags: atlantic-coast, baseline, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, environment, florida, georgia, geoscientificinformation, geospatial-datasets, gulf-coast, north-america, oceans, shoreline, shoreline-change, u-s-geological-survey, united-states, usgs, usgs-614a7c55d34e0df5fb9756db, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Coastwide Reference Monitoring System (CRMS) 2016 Site 0397 land-water classification data

Wetland restoration efforts conducted by the Coastal Wetlands Planning, Protection and Restoration Act (CWPPRA) in Louisiana rely on monitoring efforts to determine the efficacy of these efforts. The Coastwide Reference Monitoring System (CRMS) was developed to assist in a multiple-reference approach that uses aspects of hydrogeomorphic functional assessments and probabilistic sampling for monitoring. The CRMS program includes a suite of approximately 390 sites that encompass the range of hydrological and ecological conditions for each stratum. As part of CRMS, land and water classifications are created from Digital Orthophoto Quarter Quadrangles (DOQQs) approximately every three years at all CRMS sites. A DOQQ is a raster image in which displacement in the image caused by sensor orientation and terrain relief has been removed and combines the image characteristics of a photo with geometric qualities of a map. The DOQQs generated for this project consist of 2016 Color Infrared (CIR) Digital Imagery. These images were classified into land and water categories using a threshold of the near infrared (NIR) band, followed by supervised and unsupervised classification.  Initial classification results are then reviewed by multiple image analysts to identify and manually recode errors. The final land-water classifications are intended to serve as both geographic and quantitative assessments of landscape composition on the date of acquisition. Three previous assessments have been conducted (2005, 2008, and 2012). Once the program creates enough data points for statistical analyses, these data will be used for land area change rate calculation.

Tags: alteration-of-wetland-habitats, cartography, coastal, coastal-louisiana, crms, doqq, emergent-wetland, forested-wetland, geographic-information-system, imagerybasemapsearthcover, land-water, louisiana, mapping, marsh, protection, restoration, scrub-shrub-wetland, state-of-louisiana, usgs-5b5f52fce4b006a11f66eaa8, wetland, wetland-ecosystems, wetland-restoration
Organization: Department of the Interior
Digital Shoreline Analysis System (DSAS) version 4.4 transects with long-term linear regression rate calculations for the exposed north coast of Alaska, from Icy Cape to Cape Prince of Wales

This dataset consists of long-term (less than 68 years) shoreline change rates for the exposed coast of the north coast of Alaska from Icy Cape to Cape Prince of Wales. Rate calculations were computed within a GIS using the Digital Shoreline Analysis System (DSAS) version 4.4, an ArcGIS extension developed by the U.S. Geological Survey. Rates of shoreline change were calculated using a linear regression rate-of-change (lrr) method based on available shoreline data between 1948 and 2016. A reference baseline was used as the originating point for the orthogonal transects cast by the DSAS software. The transects intersect each shoreline establishing measurement points, which are then used to calculate shoreline change rates.

Tags: arctic, bering-land-bridge-national-preserve, cape-espenberg, cape-krusenstern-national-monument, cape-lisburne, cape-prince-of-wales, cape-thompson, chukchi-sea, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, deering, digital-shoreline-analysis-system, distributions, dsas, environment, geoscientificinformation, icy-cape, kivalina, kotzebue-sound, north-slope, oceans, pacific-coastal-and-marine-science-center, pcmsc, physical-chemical-features, point-hope, point-lay, red-dog-dock, shishhmaref, shoreline, shoreline-accretion, shoreline-change, shoreline-erosion, u-s-geological-survey, usgs, usgs-5dfb0c59e4b0b5e61c05367e, wales
Organization: Department of the Interior
Gunnison sage-grouse habitat suitability surface for San Miguel satellite population (breeding, landscape): Colorado Parks and Wildlife critical habitat extent (southwestern Colorado)

The Gunnison sage-grouse (Centrocercus minimus) habitat suitability surface for San Miguel satellite population represented here reflects breeding season at a landscape scale context (window extents [radius] of 1 km, 3 km, and 6.4 km). Habitat suitability estimated for Colorado Parks and Wildlife critical habitat extent (southwestern Colorado). The critical habitat defined by Colorado Parks and Wildlife (CPW) is similar to the U.S. Fish and Wildlife Service critical habitat, but due to a lack of mapped urban features, we did not extrapolate models beyond the CPW boundary.
We developed habitat selection models for Gunnison sage-grouse (Centrocercus minimus), a threatened species under the U.S. Endangered Species Act. We followed a management-centric modeling approach that sought to balance the need to evaluate the consistency of key habitat conditions and improvement actions across multiple, distinct populations, while allowing context-specific environmental variables and spatial scales to nuance selection responses. Models were developed for six isolated satellite populations (San Miguel, Crawford, Piñon Mesa, Dove Creek, Cerro Summit-Cimarron-Sims, and Poncha Pass) from use locations collected between 1991 and 2016 (see larger citation for map of population boundaries). For each population, models were developed at two life stages (breeding and summer) and at two hierarchical scales (landscape and patch). We used multi-scale and seasonal resource selection analyses to quantify relationships between environmental conditions and sites used by animals. These resource selection function models relied on spatial data describing habitat conditions at different spatial scales, where environmental conditions differ, and habitat selection occur at different spatial scales for different available resources.

Tags: biota, breeding-season, co, colorado, conservation, environment, gunnison-sage-grouse, habitat-selection, landscape-scale, logistic-regression, resource-selection-function, san-miguel-satellite-population, southwestern-colorado, united-states, usgs-61ae54bbd34eb622f69a7212
Organization: Department of the Interior
Estimated crop irrigation water use withdrawals in Harquahala Irrigation Non-Expansion Area Groundwater Basin, Arizona for 2023

Observations of irrigated agricultural land within the Harquahala Irrigation Non-Expansion Area Groundwater Basin in Arizona. Crops were verified in situ three times in 2023, first on May 12th, then on Aug 24th, and finally on Sep 30th; based on digitized field boundaries. Field boundaries were digitized from U.S. Department of Agriculture, National Agriculture Imagery Program County Mosaic 2023 imagery for Arizona and supplemented with the Sentinel2 imagery collection accessed via the European Space Agency, Copernicus Browser (https://browser.dataspace.copernicus.eu/). Satellite images were also used to identify the length of the growing season and crop condition. Water withdrawals were calculated using the modified Blaney-Criddle model of calculating consumptive use (U.S. Bureau of Reclamation, 1992 appendix A) using crop coefficients from Doorenbos and Pruitt (1975), the number of acres with active crops, crop condition, and irrigation system efficiency. The withdrawal equation was modified from "Water withdrawals for irrigation, municipal, mining, thermoelectric-power, and drainage uses in Arizona outside of active management areas, 1991-2000" (Tadayon, 2005) to account for variations in water application.

Tags: agricultural-sites, arizona, groundwater, harquahala-irrigation-non-expansion-area-groundwater-basin, irrigation, la-paz, maricopa, usgs-667f2901d34e84b99fe5c144, water-use
Organization: Department of the Interior
Southern Beaufort Sea Polar Bear Blood Based Analyte Data, 1983-2018

This dataset is one table with data collected and derived from polar bears sampled in Alaska's southern Beaufort Sea during 1983-2018. Collected data includes demographic and morphometric information. Derived data includes blood-based analyte values determined from whole blood and serum samples. Serum samples were analyzed on an Abaxis VS2 Biochemistry Analyzer and whole blood samples were analyzed on an Abaxis HM5 Diagnostic Analyzer. VS2 analysis quantified values of 13 biochemistry analytes for the period 1983-2016. Complete blood count (CBC) analyte values were quantified from the HM5 analysis for the period 2005-2018. These data were used to (i) generate reference ranges of serum biochemistry analyte values for healthy polar bears (Fry et al. 2019), and (ii) examine factors that may influence biochemistry and CBC analyte values over time (Fry et al. 2023).

Tags: alaska, animals-vertebrates, bears, beaufort-sea, biota, carnivores, coastal-ecosystems, environment, mammals, marine-ecosystems, marine-mammals, threatened-species, usgs-asc544, wildlife
Organization: Department of the Interior
Area- and Depth-Weighted Average of Soil pH from STATSGO2 for the Conterminous United States and District of Columbia

This dataset consists of a 100 meter resolution raster of depth and area weighted averages for soil pH for each map unit key (MUKEY) in the U.S. Department of Agriculture, Natural Resources Conservation Service's  (NRCS) State Soil Geographical (STATSGO2) database (NRCS, 2016). This raster was developed from selected criteria of soil parameters from the STATSGO2 database and mapped to MUKEYs.

Tags: inlandwaters, national-resource-conservation-service, nawqa, ph, soil, statsgo2, united-states-department-of-agriculture, usgs-5c1296b5e4b034bf6a85ea18
Organization: Department of the Interior
Molecular Detection and Characterization of Highly Pathogenic H5N1 Avian Influenza Viruses in Wild Birds Inhabiting Western Alaska Provides Evidence for Three Independent Viral Introductions

This data set describes three independent viral introductions of Highly pathogenic H5N1 avian influenza viruses into Alaska.

Tags: alaska, animals-vertebrates, avian-influenza, biota, birds, disease-detection, disease-reservoirs, disease-spread, ducks-geese-swans, environment, gulls, health, health-and-disease, influenza-a-virus-h5n1-subtype, izembek-national-wildlife-refuge, lagoons, lakes-reservoirs, migratory-birds, usgs-asc570, virus-diseases, viruses, waders-gulls-auks-and-allies, waterfowl, wildlife, wildlife-disease
Organization: Department of the Interior