AndreaBozzo/ceres-open-data-index huggingface dataset:
Digital map of geologic faults for the High Plains aquifer in parts of Colorado, Kansas, Nebraska, New Mexico, Oklahoma, South Dakota, Texas, and Wyoming

This digital data set consists of faults for the High Plains
aquifer in the central United States.  The High Plains aquifer
extends from south of 32 degrees to almost 44 degrees north
latitude and from 96 degrees 30 minutes to 106 degrees west
longitude.  The outcrop area covers 174,000 square miles and is
present in Colorado, Kansas, Nebraska, New Mexico, Oklahoma,
South Dakota, Texas, and Wyoming.
		
This digital data set was created by digitizing the faults from
a 1:1,000,000-scale base map created by the U.S. Geological
Survey High Plains Regional Aquifer-System Analysis (RASA)
project (Gutentag, E.D., Heimes, F.J., Krothe, N.C., Luckey,
R.R., and Weeks, J.B., 1984, Geohydrology of the High Plains
aquifer in parts of Colorado, Kansas, Nebraska, New Mexico,
Oklahoma, South Dakota, Texas, and Wyoming: U.S. Geological
Survey Professional Paper 1400-B, 63 p.)  The data are not
intended for use at scales larger than 1:1,000,000.

Tags: aquifer-boundary, aquifers, environment, geoscientificinformation, great-plains-region, ground-water, groundwater, high-plains, high-plains-aquifer, inlandwaters, ogallala-aquifer, ogallala-formation, usgs-95ab300a-216a-4aa3-928d-bf7c1e9b8749, western-u-s
Organization: Department of the Interior
Unprocessed aerial imagery from 18 September 2020 coastal survey of Southern California.

This is a set of 1968 oblique aerial photogrammetric images and their derivatives, collected from Santa Barbara Channel with a fixed-lens digital camera from a crewed light aircraft, for processing using structure-from-motion photogrammetry and machine learning to study coastal geomorphic processes at high temporal and spatial resolution. JPG files in each folder follow the following naming convention: {CAM###}_{YYYYMMDDHHMMSS_ss}.jpg, where {CAM###} is the last 3 digits of the camera serial number, preceded by the letters "cam", and where {YYYYMMDDHHMMSS_ss} is the image acquisition time in {YearMonthDayHourMinuteSecond_hundredths} expressed in 24-hour time, as recorded by the camera's internal clock and written to the SubSecondDateTime field in the image EXIF data (for example CAM001_202009182311_50 would be the timestamp for an image with a SubSecondDateTime EXIF time/date stamp of September 18th, 2020 at 11:11.50 pm.

Tags: aerial-and-satellite-photography, aerial-photography, agents-of-coastal-change, anthropogenic-agents-of-coastal-change, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-development, coastal-ecosystems, coastal-erosion, coastal-landslides, coastal-processes, datasets, distributions, earth-sciences, ecology, environment, geography, geologic-processes, geology, geoscientificinformation, geospatial-datasets, habitat, image-analysis, image-collections, imagerybasemapsearthcover, infrastructure, pacific-coastal-and-marine-science-center, pcmsc, physical-habitats-and-geomorphology, remote-sensing, slope-processes, structures, u-s-geological-survey, united-states, united-states-and-territories, usgs, usgs-95a8e900-43d5-4485-bb42-007e279b842a, visible-light-imaging
Organization: Department of the Interior
Digital Shoreline Analysis System version 4.3 shoreline intersection points used to calculate long-term shoreline change statistics excluding the 1970-1979 and 1994 shorelines within the Martha's Vineyard coastal region including the Vineyard Sound-, Nantucket Sound- and Atlantic Ocean- facing coasts of Martha's Vineyard and Nomans Land (MarthasVineyard_intersects_LTwo.shp)

Due to continued coastal population growth and increased threats of erosion, current data on trends and rates of shoreline movement are required to inform shoreline and floodplain management. The Massachusetts Office of Coastal Zone Management launched the Shoreline Change Project in 1989 to identify erosion-prone areas of the coast. In 2001, a 1994 shoreline was added to calculate both long- and short-term shoreline change rates at 40-meter intervals along ocean-facing sections of the Massachusetts coast.
The Coastal and Marine Geology Program of the U.S. Geological Survey (USGS) in cooperation with the Massachusetts Office of Coastal Zone Management, has compiled reliable historical shoreline data along open-facing sections of the Massachusetts coast under the Massachusetts Shoreline Change Mapping and Analysis Project 2013 Update. Two oceanfront shorelines for Massachusetts (approximately 1,800 km in total length) were (1) delineated using 2008/09 color aerial orthoimagery, and (2) extracted from topographic LIDAR datasets (2007) obtained from NOAA's Ocean Service, Coastal Services Center. The new shorelines were integrated with existing Massachusetts Office of Coastal Zone Management and USGS historical shoreline data in order to compute long- and short-term rates using the latest version of the Digital Shoreline Analysis System (DSAS).

Tags: accretion, atlantic-coast, baseline, cmgp, coastal-and-marine-geology-program, coastal-processes, digital-shoreline-analysis-system, dsas, erosion, esri-point-shapefile, geospatial-datasets, historic-shoreline, intersects, long-term, marthas-vineyard, massachusetts, massachusetts-office-of-coastal-zone-management, measurement-locations, new-england, nomans-land, oceans, shoreline, shoreline-change-rate, transect, u-s-geological-survey, united-states, usgs, usgs-958a51db-48f8-4e43-bc8a-65967b41b06d, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Sediment Data from Great Bay Estuary, New Hampshire (ARMSTRONG74 shapefile)

The sediment data presented in this data layer were from a geochemical study sited in Great Bay Estuary, New Hampshire.  The analog data were originally converted into digital form for inclusion in a Gulf of Maine Contaminated Sediments Database.

Tags: clay, cmgp, coastal-and-marine-geology-program, geographic-information-system, geoscientificinformation, geospatial-datasets, gis, grain-size-analysis, great-bay-estuary, location, marine-geology, navigational-data, new-england, new-hampshire, oceans, open-file-report-03-001, point-shapefile, points, sand, sea-floor-characteristics, sediment-classification, sediments, silt, surficial-classification, texture, u-s-east-coast, u-s-geological-survey, unh, university-of-new-hampshire, usgs, usgs-95888739-9933-4c6c-ada4-6e958e1b418e, whsc, woods-hole-science-center
Organization: Department of the Interior
Radiocarbon age data from sediment cores collected offshore southern Cascadia, during field activity 2019-643-FA

This dataset presents radiocarbon data from 87 samples from sediment cores collected in southern Cascadia (offshore northern California) aboard the M/V Bold Horizon in September-October 2019. Sample ages were determined by the National Ocean Sciences Accelerator Mass Spectrometry (NOSAMS) facility and the W.M. Keck Carbon Cycle Accelerator Mass Spectrometry (KCCAMS) facility at the University of California, Irvine (UCI).

Tags: carbon-14-analysis, cmhrp, coastal-and-marine-hazards-and-resources-program, core-analysis, department-of-the-interior, doi, eureka, field-activity-number-2019-643-fa, geoscientificinformation, humboldt-county, ocean-processes, oceans, pacific-coastal-and-marine-science-center, pacific-ocean, pcmsc, sediment, sediment-transport, state-of-california, substrate, u-s-geological-survey, usgs, usgs-957d8656-32f8-443f-b90f-02d065e04418
Organization: Department of the Interior
Airborne geophysical survey: Killik River-Chandler L. S.

Aeromagnetic data were collected along flight lines by instruments in an aircraft that recorded magnetic-field intensity values and location. In surveys such as this one where the data were originally collected in digital form and not digitized from contour maps, the information we provide typically includes latitude, longitude, magnetic anomaly in nanoTeslas, and intermediate values used to derive the magnetic anomaly such as total magnetic field.

Tags: aeromagnetic-surveying, f02185-north-slope, f02188-northwest-arctic, f02290-yukon-koyukuk, field-monitoring-stations, geophysics, geospatial-datasets, magnetic-field-earth, usgs-9576b268-4a1c-4605-8751-64dcc301e099
Organization: Department of the Interior
Effects of Late Holocene Climate and Coastal Change in Mobile Bay, Alabama: ADCIRC Model Input and Results (Velocity_Residual_RS)

Using version 52.30 of the ADvanced CIRCulation (ADCIRC) numerical model (Luettich and others, 1992), astronomic tides were simulated at Mobile Bay, Alabama (AL), under scenarios of Holocene geomorphic configurations representing the period of 3500 to 2300 years before present including a breach in the Morgan Peninsula and a land bridge at Pass aux Herons, as described in Smith and others (2020). The two-dimensional ADCIRC model can be applied to coastal and estuarine systems to solve for time-dependent hydrodynamic circulation and transport scenarios. For this study, the ADCIRC unstructured finite element mesh domain spans to the 60th meridian west in the Atlantic Ocean and has higher spatial resolution elements (20 - 100 meters (m)) along the northern Gulf of Mexico coast from Louisiana through the Florida Panhandle. The ADCIRC model setup requires the input of topographic and bathymetric elevations at each mesh node. Model inputs in the form of topography and bathymetry and model outputs in the form of water levels and velocities at each mesh node are provided in this data release. For further information regarding model input generation and visualization of model output, refer to Smith and others (2020).

Tags: alabama, bathymetry, coastal-processes, digital-elevation-models, elevation, estuarine-processes, geomorphology, geoscientificinformation, gulf-of-mexico, marine-geology, mobile-bay, morphologic-change, north-america, oceans, spcmsc, st-petersburg-coastal-and-marine-science-center, tides-oceanic, topography, u-s-geological-survey, united-states, usgs, usgs-956d6e5c-364f-4d56-aac9-010286e21cd1
Organization: Department of the Interior
Upper Florida Keys-Seafloor elevation change in Maui, St. Croix, St. Thomas, and the Florida Keys

Coral reefs serve as natural barriers that protect adjacent shorelines from coastal hazards such as storms, waves and erosion but projections indicate global degradation of coral reefs due to anthropogenic impacts and climate change will cause a transition to net erosion by mid-century. The U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center conducted research to quantify the combined effect of all constructive and destructive processes on modern coral reef ecosystems by measuring regional-scale changes in seafloor elevation. USGS staff assessed five coral reef ecosystems in the Atlantic Ocean (Upper and Lower Florida Keys), Caribbean Sea (U.S. Virgin Islands: St. Thomas and Buck Island, St. Croix), and Pacific Ocean (Maui, Hawaii), including both coral-dominated and adjacent, non-coral dominated habitats. Scientists used historical bathymetric data from the 1930s to 1980s and contemporary light detection and ranging (lidar) digital elevation models (DEMs) from the late 1990s to 2000s to calculate changes in seafloor elevation for each study site over time periods reflecting low to high anthropogenic impacts. UFK_ElevationChange.zip contains the location, elevation, and elevation change data for the Upper Florida Keys. Using these changes in elevation, further analysis was done to calculate corresponding changes in seafloor volume for all study areas and habitat types within each site.

Tags: coelenterates, coral-reefs, doi-usgs-cmg-gt-coastal-and-marine-geology-u-s-geological-survey-u-s-department-of-interior, elevation, florida, florida-keys, geochemistry, geoscientificinformation, lidar-gt-light-detection-and-ranging, marine-geology, ocean-gt-bathymetry-seafloor-topography-gt-water-depth, ocean-gt-coastal-processes-gt-coral-reefs, ocean-gt-coastal-processes-gt-erosion, ocean-gt-coastal-processes-gt-sea-level-rise, oceans, sea-level-rise, seafloor-accretion, seafloor-elevation, seafloor-erosion, usgs-955d1636-f113-47dd-8469-984118efee6e
Organization: Department of the Interior
Chincoteague Bay calculated shear stress data from the spring and fall sampling trips of 2014 and preliminary modeled bottom shear stress values provided by the Wood’s Hole USGS office.

Scientists from the U.S. Geological Survey, St. Petersburg Coastal and Marine Science Center conducted a seasonal collection of surficial sediments from Chincoteague Bay and Tom's Cove, located between Assateague Island and the Delmarva Peninsula in March/April 2014 (2014-301-FA) and October 2014 (2014-322-FA). The sampling efforts were part of a larger U.S. Geological Survey study to assess the effects of storm events on sediment distribution. The objective of this study was to characterize the sediments of Chincoteague Bay in order to create baseline conditions to incorporate with hydrodynamic and sediment transport models in order to evaluate pre- and post-storm (Hurricane Sandy) change.
This report serves as an archive for sedimentological data derived from the surface sediment. Data are available for a seasonal comparison between March/April 2014 and October 2014. Downloadable data are available as Excel spreadsheets (sediment samples) and as JPEG files (maps). Additional files include: detailed results of sediment grain size analyses, and formal Federal Geographic Data Committee metadata (data downloads).

Tags: april-2014, assateague-island, chincoteague-bay, critical-shields-parameter, critical-stress-threshold, d50, d_, lagoon, march-2014, maryland, max-wave-current-bottom-shear-stress-during-fairweather, mean-wave-current-bottom-shear-stress-during-fairweather, october-2014, sediment, surface, toms-cove, u-s-geological-survey, u-s-geological-survey-st-petersburg-coastal-and-marine-science-center, usgs, usgs-9547b216-4c61-4718-bdfe-c05e62cb9b17, virginia
Organization: Department of the Interior
Map of Arsenic concentrations in groundwater of the United States

The map graphic image at https://www.sciencebase.gov/catalog/file/get/63140561d34e36012efa2b7f?name=arsenic_map.png illustrates arsenic values, 
in micrograms per liter, for groundwater samples from about 31,000 wells and springs in 49 states compiled 
by the United States Geological Survey (USGS). The map graphic illustrates an updated version of figure 1 
from Ryker (2001). Cited Reference: Ryker, S.J., Nov. 2001, Mapping arsenic in groundwater-- A real need, 
but a hard problem: Geotimes Newsmagazine of the Earth Sciences, v. 46 no. 11, p. 34-36 at 
http://www.agiweb.org/geotimes/nov01/feature_Asmap.html. An excel tabular data file, a txt file, along with 
a GIS shape file of arsenic concentrations (20,043 samples collected by the USGS) for a subset of the sites 
shown on the map. Samples were collected between 1973 and 2001 and are provided for download.

Tags: arsenic, environment, geoscientificinformation, groundwater, inlandwaters, usgs-95456880-0d8d-4398-b82e-674672bad2bc
Organization: Department of the Interior
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on August 21, 2019, from Melbourne Beach, Florida

On August 21, 2019, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Melbourne Beach, Florida. This dataset, Melbourne_20190821.zip, was collected and processed by the U.S. Geological Survey (USGS) St. Petersburg Coastal and Marine Science Center (SPCMSC) and includes sea turtle nesting decision point locations (.csv) and cross-shore beach profiles (.xyz) at those locations. Utilizing previously published methods for collecting beach profile data (Henderson and others, 2016; Brown and others, 2018), data were acquired by USGS scientists walking along cross-shore transect lines while carrying a survey backpack that was equipped with a Global Navigation Satellite System (GNSS) receiver and GNSS antenna. The horizontal position data are provided in the Universal Transverse Mercator (UTM) coordinate system, Zone 17 North (17N), referenced to the North American Datum of 1983 (NAD83), and the elevation data are referenced to the North American Vertical Datum of 1988 (NAVD88), GEOID12B.

Tags: altimetry, beach, cmhrp, coastal-and-marine-hazards-and-resources-program, distributions, earth-science-gt-land-surface-gt-topography-gt-terrain-elevation, earth-science-gt-oceans-gt-coastal-processes-gt-beaches, elevation, elevation-data, florida, geology, geomorphology, geoscientificinformation, global-navigation-satellite-system-gnss-observations, gnss-measurement, marine-geology, oceans, providers-gt-government-agencies-u-s-federal-agencies-gt-doi-gt-usgs-gt-doi-usgs-cmg, south-atlantic, spcmsc, st-petersburg-coastal-and-marine-science-center, topographic-mapping, topography, u-s-geological-survey, united-states, usgs, usgs-9544eba7-a996-467f-8d98-7785251827dc
Organization: Department of the Interior
Lake Darling Islands (polygon) - Edge of water at lake-surface elevation, 656.1 ft above NAVD 88.

This data set consists of a digital polygon coverage that defines the islands of Lake Darling in 
Washington Co., Iowa. The U.S. Geological Survey conducted a bathymetric survey of Lake 
Darling in 2004.

Tags: bathymetry, environment, geoscientificinformation, hydrology, inlandwaters, iowa, lake-darling, lakes, usgs, usgs-953a9c4e-02dc-4f89-9837-4fddb14b8243, washington-county
Organization: Department of the Interior
Airborne geophysical survey: Northwest South Carolina, South Carolina

Aeromagnetic data were collected along flight lines by instruments in an
aircraft that recorded magnetic-field values and locations.  This dataset
presents latitude, longitude, altitude, and magnetic-field values.

Tags: aeromagnetic-data, aeromagnetic-surveying, airborne-surveys, f13105-elbert, f13119-franklin, f13137-habersham, f13147-hart, f13181-lincoln, f13241-rabun, f13257-stephens, f37099-jackson, f37113-macon, f37119-mecklenburg, f37179-union, f45001-abbeville, f45007-anderson, f45023-chester, f45025-chesterfield, f45037-edgefield, f45039-fairfield, f45045-greenville, f45047-greenwood, f45055-kershaw, f45057-lancaster, f45059-laurens, f45063-lexington, f45065-mccormick, f45071-newberry, f45073-oconee, f45077-pickens, f45079-richland, f45081-saluda, f45083-spartanburg, f45087-union, f45091-york, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, northwest-south-carolina, residual-magnetic-field, sc, south-carolina, total-field, united-states, usgs-95379a4c-8db9-4274-a4ed-bc6b3e7cc6c7
Organization: Department of the Interior
Altitudes of the top of model layers for the transient ground-water flow model, Death Valley regional ground-water flow system, Nevada and California

This digital data set defines the altitudes of the tops of 16 model layers simulated in the 
Death Valley regional ground-water flow system (DVRFS) transient flow 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. The thickness of model layers 
is derived by sequentially subtracting the altitudes of the uppermost to the lowermost 
model layers. Most model layers range in thickness from 50 to more than 300 meters, 
and thickness generally increases with depth (Faunt and others, 2004). The upper model 
layers are used to simulate relatively shallow flow primarily through basin-fill sediments 
and volcanic rocks and adjacent mountain ranges. The lower layers predominantly 
simulate deep flow through a regional carbonate-rock aquifer beneath the basin fill and 
mountain ranges in the DVRFS. 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, hydrogeology, hydrology, inyo-county, kern-county, las-vegas-valley, lincoln-county, mesquite-valley, mineral-county, model-layer-thickness, model-layers, 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-95180e53-bb7f-4d7b-bf49-bfbcc324da5e, yucca-mountain
Organization: Department of the Interior
Terrestrial Ecosystems of the Conterminous United States

The U.S. Geological Survey (USGS) modeled the distribution of terrestrial ecosystems for the contiguous United States using a standardized, deductive approach to associate unique physical environments with ecological systems characterized in NatureServe's Ecological Systems of the United States classification (Comer et al., 2003). This approach was first developed for South America (Sayre et al., 2008) and is now being implemented globally (Sayre et al., 2007).

Unique physical environments were delineated from a massive biophysical stratification of the nation into the major structural components of ecosystems: biogeographic regions (Cress et al., 2008c), land surface forms (Cress et al., 2008a), surficial lithology (Cress et al., 2008d), and topographic moisture potential (Cress et al., 2008b). Each of these structural components was mapped for the contiguous United States and then spatially combined to produce ecosystem structural footprints which represented unique abiotic (physical) environments. Among 49,168 unique structural footprint classes, 13,482 classes which met a minimum pixel count threshold (20,000 pixels) were aggregated into 419 NatureServe ecosystems through semi-automated labeling process using rule set formulations for attribution of each ecosystem.

UPDATE:
A newer terrestrial ecosystems datalayer, "World Terrestrial Ecosystems (WTE) 2020", is now available at: https://doi.org/10.5066/P9DO61LP. This datalayer is a global raster dataset at a 250 m spatial resolution where 431 ecosystem types are identified and mapped. Each ecosystem type is a unique combination of vegetation/land cover, climate region, and landform.

Tags: bioclimate, biodiversity-and-ecosystems-theme, biogeography, biophysical-stratification, conterminous-united-states, ecosystem, geo, geological-survey, geoss, global-earth-observation-system-of-systems, group-on-earth-observations, land-cover, landforms, lithology, mesoscale, national-geospatial-data-asset, ngda, ngdaid4, surface-moisture, united-states-geological-survey, united-states-of-america, usgs, usgs-94fd91d2-5197-4950-b14a-2381c0f66ff1
Organization: Department of the Interior