AndreaBozzo/ceres-open-data-index huggingface dataset:
Estuarine Back-barrier Shoreline and Sandline Change Model Skill and Predicted Probabilities: Long-term back-barrier shoreline change

The Barrier Island and Estuarine Wetland Physical Change Assessment was created to calibrate and test probability models of barrier island estuarine shoreline (backshore) and beach sandline change for study areas in Virginia, Maryland, and New Jersey. The models examined the influence of hydrologic and physical variables related to long-term and storm-derived overwash and back-barrier shoreline change. Input variables were constructed into a Bayesian Network (BN) using Netica, a computer program created by NORSYS Software Corporation that allows users to work with belief networks and influence diagrams. Each model is tested on its ability to predict changes in long-term and event-driven (i.e., Hurricane Sandy-induced) backshore and sandline change based on learned correlations from the input variables across the domain. Using the input hydrodynamic and geomorphic data, the BN is constrained to produce a prediction of an updated conditional probability of backshore or sandline change at each location. To evaluate the ability of the BN to reproduce the observations used to train the model, the skill, log likelihood ratio and probability predictions were utilized. These data are the probability and skill metrics for the long-term estuarine back-barrier shoreline change model.

Tags: assateague-island, barrier-islands, bayesian-models, coastal, ecology, environment, geology, geomorphology, geoscientificinformation, hurricanes, long-term-shoreline-change, maryland, md, mid-atlantic-ocean, new-jersey, nj, oceans, storm-driven-shoreline-change, storms, usa, usgs-391ab886-b013-45cd-8da1-f70eb551d5ed, va, virginia
Organization: Department of the Interior
LANDFIRE 2016 Remap Slope (SLP) Micronesia

Slope was produced from the IA DEM using ESRIs Slope tool. Output measurement for slope was both Degrees and Percent Rise (2 files produced).

Tags: biota, federated-states-of-micronesia, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, insular-areas, landfire-2016-remap, micronesia, oconus, raster-digital-data, remote-sensing, slope, topo, topography, u-s-geological-survey-usgs, united-states, us, usgs-3918d438-9d11-45ac-b9dd-a1c0e1b87c23
Organization: Department of the Interior
Aerial Imagery of the North Carolina Coast: 2020-09-28

The U.S. Geological Survey (USGS) Remote Sensing Coastal Change (RSCC) project collects aerial imagery along coastal swaths with optimized endlap/sidelap and precise position information to create high-resolution orthomosaics, three-dimensional (3D) point clouds, and digital elevation/surface models (DEMs/DSMs) using Structure-from-Motion (SfM) photogrammetry methods. These products are valuable for measuring topographic and landscape change, and for understanding coastal vulnerability and response to disturbance events.
A nadir (vertical) aerial imagery survey was conducted from Cape Lookout, North Carolina to the North Carolina-Virginia border on September 28th, 2020, to document recovery conditions after the passage of Hurricane Isaias on August 3, 2020. The observations along the coastline cover an approximately 275-kilometer-long by 300 to 700-meter-wide swath of coastline and encompass both highly developed towns as well as natural undeveloped areas, including the federal lands of Cape Lookout National Seashore and Cape Hatteras National Seashore.
Low altitude (300 meters above ground level) digital aerial imagery were acquired with a manned, fixed-wing aircraft using the "Precision Airborne Camera (PAC)" System (version 2). The PAC system is operated by C.W. Wright and consists of a mounted fixed-lens digital camera, along with a custom integrated survey-grade Global Navigation Satellite System (GNSS) receiver. Data were collected in shore-parallel lines, flying at approximately 50 meters per second (m/s) and capturing true color imagery at 1 hertz (Hz), resulting in image footprints with approximately 75-80% endlap, 60-70% sidelap, and a 5.3-centimeter (cm) ground sample distance (GSD). The precise time of each image capture (flash event) was recorded, and the corresponding aircraft position was computed during post-processing of the GNSS data. Precise image positions can then be determined by accounting for the lever arm offsets between the aircraft GNSS antenna and the camera lens, which are provided in the PAC System metadata (Kranenburg and others, 2023, https://cmgds.marine.usgs.gov/data-services/rscc/PrecisionAirborneCameraSystem). Position data, provided as latitude/longitude/ellipsoid height, is referenced to the North American Datum of 1983 National Spatial Reference System 2011 (NAD83(2011)) coordinate system.

Tags: aerial-imagery, aerial-photography, albemarle-sound, cape-hatteras-national-seashore, cape-lookout-national-seashore, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, geomorphology, geoscientificinformation, geospatial-datasets, hurricanes, image-collections, imagerybasemapsearthcover, nags-head, north-carolina, oceans, outer-banks, pacific-coastal-and-marine-science-center, pamlico-sound, pcmsc, post-hurricane-isaias, remote-sensing, september-2020, spcmsc, st-petersburg-coastal-and-marine-science-center, structure-from-motion, u-s-geological-survey, usgs, usgs-39050ca4-ce85-4365-bd6b-ec8dfca12391, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Land Cover Classification for Fanno Creek, Oregon

Fanno Creek is a tributary to the Tualatin River and flows though parts of the southwest Portland 
metropolitan area. The stream is heavily influenced by urban runoff and shows characteristic 
flashy streamflow and poor water quality commonly associated with urban streams. This data 
set represents the floodplain land cover as derived from light detection and ranging (LiDAR) 
data and aerial photographic imagery. The land cover classifications represent current 
conditions (2009).

Tags: creek, environment, evergreen, fanno-creek, floodplain, geoscientificinformation, inlandwaters, land-cover, land-use, mixed-forest, oregon, tualatin-river, urban, usgs, usgs-38fb0f17-c9b6-4204-a6c6-6573f30925b1, vegetation, water
Organization: Department of the Interior
Sea Turtle Nesting Decision Points and Cross-Shore Beach Profile Data Collected on August 04, 2021, from Jupiter Island, Florida

On August 04, 2021, surveys were conducted on ‘high-density’ sea turtle nesting areas located on Jupiter Island, Florida. This dataset, Jupiter_20210804.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-38f29fb2-150a-4b8b-a721-55417630fcdb
Organization: Department of the Interior
maui_slp - Coastal Slope along the coastal zone of Maui, Hawaii

Coastal Slope along the coastal zone of Maui, Hawaii

Tags: coast, coastal, coastal-plain, continental-island-shore-complex, geomorphology, geoscientificinformation, hawaii, hawaii-ecoregion, island, kauai, lanai, land-surface-characteristics, maui, molokai, oahu, oceans, pacific, slope, usgs-38eb43de-ab3b-47ff-b1b1-09e81e3ddf34
Organization: Department of the Interior
Attenuation Factor model results for Upper Floridan aquifer vulnerability to Bromacil and Ethylene Dibromide

This dataset includes Attenuation Factor (AF; Rao and others, 1985) model results for Upper Floridan aquifer vulnerability to Bromacil and 1,2-Dibromoethane or Ethylene Dibromide (EDB). The AF value serves as an index for assessing the transport of pesticide mass from the vadose zone. The AF model setup requires the input of raster soil bulk density, soil organic carbon content, soil field capacity, soil air filled porosity, recharge to the aquifer, depth to groundwater, the pesticide sorption coefficient, pesticide Henry's Law Constant, and pesticide half-life. These variables were entered into the AF equation using the raster calculator tool in ArcGIS. The resulting AF values are dimensionless and range between 0 and 1. A value of 1 indicates that all of the pesticides in the vadose zone will leach into the groundwater; conversely, a value of 0 suggests that no pesticides will leach into the groundwater.

Tags: aquifer, attenuation-factor, environment, florida, geology, geoscientificinformation, groundwater, health, hydrogeology, inlandwaters, pesticide, raster-dataset, southwest-florida-water-management-district, u-s-geological-survey, university-of-south-florida-st-petersburg, usgs, usgs-38dabaf9-3264-4b63-802d-2f63dabc8d20, water-quality, water-resources
Organization: Department of the Interior
Airborne geophysical survey: South-Central Wisconsin

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, dubuque, eau-claire, f17007-boone, f17085-jo-daviess, f17111-mchenry, f17177-stephenson, f17201-winnebago, f55001-adams, f55021-columbia, f55025-dane, f55027-dodge, f55045-green, f55047-green-lake, f55049-iowa, f55055-jefferson, f55057-juneau, f55065-lafayette, f55077-marquette, f55105-rock, f55111-sauk, f55127-walworth, f55133-waukesha, f55137-waushara, f55141-wood, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, green-bay, la-crosse, madison, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, rockford, total-field, united-states, usgs-38c857da-44e8-4ad3-8877-974951ca15ef, wi, wisconsin
Organization: Department of the Interior
National Assessment of Hurricane-Induced Coastal Erosion Hazards: Northeast Atlantic Coast

These data sets contain information on the probabilities of hurricane-induced erosion (collision, inundation and overwash) for each 1-km section of the Northeast Atlantic coast for category 1-4 hurricanes. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to the direct landfall of category 1-4 hurricanes. Hurricane-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Data on dune morphology (dune crest and toe elevation) and hydrodynamics (storm surge, wave setup and runup) are also included in this data set. As new beach morphology observations and storm predictions become available, this analysis will be updated to describe how coastal vulnerability to storms will vary in the future. The data presented here include the dune morphology observations, as derived from lidar surveys taken from May to July, 2010.

Tags: atlantic-ocean, cmgp, coastal, coastal-and-marine-geology-program, elevation, environment, maine, massachusetts, new-hampshire, ofr-2014-1243, open-file-report-2014-1243, rhode-island, spcmsc, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, u-s-northeast-atlantic, usgs, usgs-38be9521-69c9-48a9-90bd-6d451274690a
Organization: Department of the Interior
LANDFIRE Remap Forest Canopy Height (CH) Micronesia

LANFIRE’s (LF) 2016 Remap (Remap) Forest Canopy Height (CH) describes the average height of the top of the canopy for a stand. In disturbed locations CH is calculated from linear regression equations derived from Forest Vegetation Simulator (FVS) plot data output, but at non-disturbed locations it is assigned the midpoint of Fuel Vegetation Height (FVH) forested classes. In some instances, LF Remap assumes the potential burnable biomass in the tree canopy has been accounted for in the surface fuel model. For example, young or short conifer stands where the trees are represented by a shrub type fuel model will not have canopy characteristics.
LF Remap Annual Disturbance products are incorporated into CH to provide informed changes by disturbance type, severity, and time since disturbance (TSD). Annual Disturbance products provide a pre-disturbance scenario represented by LF Remap existing vegetation products, the reporting of pre-disturbance scenarios helps to calculate CH. Vegetation adjustments are then modeled in disturbance areas based on disturbance type and severity. CH is then used in the calculation of Canopy Bulk Density (CBD) and Canopy Base Height (CBH). CH supplies information for fire behavior models, such as FARSITE (Finney 1998), that can determine; the starting point for embers in the spotting model, wind reductions, and the volume of crown fuels.
CH also has capable fuels functionality, capable fuels calculate TSD assignments for disturbed areas using an "effective year." For example, year 2020 fuels may be calculated for the year 2020. the new process considers all the existing disturbances included in LF Remap and adjusts the TSD for these to the effective year (2020 in the example), making the products "2020 capable fuels." More information about capable fuels can be found at https://www.landfire.gov/lf_remap.php.

Tags: biota, canopy-height, ch, federated-states-of-micronesia, fires, geographic-information-systems, geospatial-datasets, hazard-preparedness, ia, image-collections, imagerybasemapsearthcover, insular-areas, landfire-2016-remap, lf-2016-remap, micronesia, oconus, raster-digital-data, remote-sensing, u-s-forest-service-usfs, u-s-geological-survey-usgs, united-states, us, usgs-38b40e7c-30f1-4658-b490-8bb382b8622a
Organization: Department of the Interior
Shorelines used to calculate shoreline change statistics from the South Cape Cod coastal region of Massachusetts from Stage Harbor Light in Chatham to Nobska Point in Woods Hole (SouthCapeCod_shorelines.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) 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 (MA CZM) 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: atlantic-coast, chatham, cmgp, coastal-and-marine-geology-program, coastal-processes, coastal-services-center, csc, digital-shoreline-analysis-system, dsas, endpoint-rate, environment, geoscientificinformation, geospatial-datasets, linear-regression-rate, ma-czm, massachusetts, massachusetts-coastal-zone-management, massachusetts-shoreline-change-project, national-assessment-of-shoreline-change-project, national-oceanic-and-atmospheric-administration, new-england, noaa, nobska-point, oceans, shoreline-change-rate, south-cape-cod, stage-harbor-light, u-s-army-corps-of-engineers, u-s-geological-survey, united-states, usace, usgs, usgs-38affa55-54ca-406a-b787-e09e8c142280, whcmsc, woods-hole, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Text Files of the DGPS Navigation Logged with HYPACK Software on U.S. Geological Survey Cruise 2014-046-FA from September 15 to 17, 2014

The U.S. Geological Survey (USGS), in cooperation with the National Oceanic and Atmospheric Administration (NOAA), is producing detailed geologic maps of the coastal sea floor. Bathymetric data, originally collected by NOAA for charting purposes, provide a framework for research and management activities along southern Narragansett Bay, show the composition and terrain of the seabed, and provide information on sediment transport and benthic habitat. During September 2014, bottom photographs and surficial sediment data were acquired as part of a ground-truth reconnaissance survey of this area. Interpretations were derived from the multibeam-echosounder, sedimentary, and photographic data collected in Narragansett Bay. For more information on the ground-truth survey see https://cmgds.marine.usgs.gov/fan_info.php?fan=2014-046-FA.

Tags: bottom-photographs, bottom-video, cmgp, coastal-and-marine-geology-program, csi-lgbx-pro-differential-gps, field-activity-serial-number-2014-046-fa, hypack, location, narragansett-bay, navigation, navigational-data, north-america, north-atlantic, northeast-united-states, oceans, point, r-v-rafael, rhode-island, samples, seaboss, u-s-geological-survey, underwater-photography, united-states, usgs, usgs-38a43a17-fb67-4447-9e67-9aa9afc0696a, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Airborne geophysical survey: Southern Ohio, Ohio

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, f18029-dearborn, f18047-franklin, f21015-boone, f21019-boyd, f21023-bracken, f21037-campbell, f21089-greenup, f21117-kenton, f21135-lewis, f21161-mason, f21191-pendleton, f39001-adams, f39009-athens, f39015-brown, f39017-butler, f39025-clermont, f39027-clinton, f39047-fayette, f39053-gallia, f39061-hamilton, f39071-highland, f39073-hocking, f39079-jackson, f39087-lawrence, f39105-meigs, f39131-pike, f39141-ross, f39145-scioto, f39163-vinton, f39165-warren, f39167-washington, f54011-cabell, f54035-jackson, f54053-mason, f54099-wayne, f54107-wood, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, oh, ohio, residual-magnetic-field, southern-ohio, total-field, united-states, usgs-38a1ae86-5dd9-4b85-b3d1-24263d1355dc
Organization: Department of the Interior
Airborne geophysical survey: cady

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, f02180-nome, f02188-northwest-arctic, field-monitoring-stations, geophysics, geospatial-datasets, magnetic-field-earth, usgs-389f5105-8247-4c6a-9da2-501626cb0d33
Organization: Department of the Interior
Mean annual water-budget components for the Island of Oahu, Hawaii, for average climate conditions, 1978-2007 rainfall and 2010 land cover (version 2.0)

The shapefile associated with this metadata file represents the spatial distribution of mean annual 
water-budget components, in inches, for the Island of Oahu, Hawaii. The water-budget components 
in the shapefile were computed by a water-budget model for a scenario representative of average 
climate conditions (1978–2007 rainfall) and 2010 land cover, as described in USGS Scientific 
Investigations Report (SIR) 2015-5010. The model was developed for estimating groundwater 
recharge and other water-budget components for each subarea of the model. The model subareas 
were generated using Esri ArcGIS software by intersecting (merging) multiple spatial data sets 
that characterize the spatial distribution of rainfall, fog interception, irrigation, reference 
evapotranspiration, direct runoff, soil type, and land cover. These spatial data sets characterize 
the spatial distribution of hydrologic and physical conditions that the model uses to compute 
groundwater recharge and other water-budget components.The model-subarea data set (387,533 
polygons) was subsequently intersected with the 0-ft elevation contour of the top of the basalt 
aquifer to produce the 395,955 polygons in this shapefile. This metadata file describes the process 
of merging these spatial data sets,  The shapefile attribute information associated with each 
polygon present an estimate of mean annual rainfall, fog interception, irrigation, septic-system 
leachate, runoff, canopy evaporation, actual evapotranspiration, storm-drain capture, net precipitation, 
total evapotranspiration, recharge, and seepage from reservoirs and cesspools. This shapefile also 
includes select geographic and land-cover attributes of the polygons. Brief descriptions of the 
water-budget components and attributes are included in this metadata file. Refer to USGS 
SIR 2015-5010 for further details of the methods and sources used to determine these 
components and attributes.

Tags: canopy-evaporation, environment, evapotranspiration, fog-interception, geoscientificinformation, groundwater-recharge, hawaii, inlandwaters, irrigation, oahu, pacific-islands, rainfall, runoff, soil-water-balance, storm-drain-capture, usgs-38975e2a-b3ce-44cd-bf4c-9c827c0e1309, water-budget-model
Organization: Department of the Interior
Rio Grande aquifer system

This data set represents the extent of the Rio Grande aquifer system in the 
states of Colorado, New Mexico, and Texas.

Tags: aquifer, aquifer-extent, arizona, colorado, environment, geoscientificinformation, groundwater, inlandwaters, new-mexico, usgs-38b820d3-72e8-47f5-a0da-49ba4a355098, western-texas
Organization: Department of the Interior