AndreaBozzo/ceres-open-data-index huggingface dataset:
Multibeam bathymetric data collected in the vicinity of Buffalo Reef, Michigan, within Lake Superior during USGS Field Activity 2018-043-FA using a dual-head Reson T20-P multibeam echosounder (32-bit GeoTIFF, UTM Zone 16N, NAD 83, NAVD 88 Vertical Datum, 2-m resolution)

In September 2018, the U.S. Geological Survey, in collaboration with the U.S. Army Corps of Engineers, conducted high-resolution geophysical mapping and sediment sampling to determine the distribution of historical mine tailings on the floor of Lake Superior. Large amounts of waste material from copper mining, locally known as “stamp sands,” were dumped into the lake in the early 20th century, with wide-reaching consequences that have continued into the present. Mapping was focused offshore of the town of Gay on the Keweenaw Peninsula of Michigan, where ongoing erosion and re-deposition of the stamp sands has buried miles of native, white-sand beaches.  Stamp sands are also encroaching onto Buffalo Reef, a large area of cobble/boulder substrate that supports productive fisheries in the lake. 
The objectives of this cooperative mapping project are to develop a framework for scientific research and provide baseline information required for management of resources within the coastal zone of northern Michigan.  High-resolution bathymetry and backscatter data reveal the irregular topography of the shallow, cobble-covered Buffalo Reef and the relatively smooth surface of finer-grained sediment that covers adjacent, deeper parts of the lake floor. Previous research used numerous sediment samples to determine the general distribution of mine tailings on the lake floor in this area, but little information exists on the extent and thickness of the surficial deposits. The main priority of this project is to image the near-surface stratigraphy, specifically the thickness of surficial sand and mud that threaten to cover the reef, with seismic-reflection profiling systems.  In addition to continuous coverage of bathymetric and backscatter data, this report includes a dense grid of closely spaced seismic profiles, which will guide efforts to mitigate the environmental impacts of the shifting stamp sands.

Tags: bathymetry, buffalo-reef, cmhrp, coastal-and-marine-hazards-and-resources-program, department-of-the-interior, doi, elevation, field-activity-number-2018-043-fa, geology, geophysics, geoscientificinformation, geospatial-datasets, geotiff, houghton-county, imagerybasemapsearthcover, inlandwaters, keweenaw-county, keweenaw-peninsula, lacustrine-geology, lake-floor, lake-superior, lakebed-characteristics, lakefloor, michigan, multibeam-bathymetry, multibeam-echosounder, multibeam-sonar, r-v-rafael, reson, t20-p, traverse-bay, u-s-geological-survey, united-states-of-america, usgs, usgs-5ddbda2ee4b06957976a56b4, whcmsc, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
ElevMHW: Elevation adjusted to local mean high water: Assawoman Island, VA, 2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: assawoman-island, atlantic-ocean, barrier-island, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-habitat, delmarva-peninsula, digital-elevation-models, elevation, geographic-information-systems, geomorphology, geospatial-analysis, geospatial-datasets, gis, lidar, mean-high-water, mhw, north-america, oceans, st-petersburg-coastal-and-marine-science-center, topography, u-s-geological-survey, united-states, usa, usgs, usgs-5daa3799e4b09fd3b0c9cea0, va, virginia, virginia-coast-reserve, wallops-island, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Thermochronologic data from the southern Stillwater Range, Nevada

This dataset contains apatite and zircon U-Th(He)data, 4He/3He thermochronologic data, and apatite fission-track data from the southern Stillwater Range, Nevada

Tags: geochronology, nevada, stillwater-range, thermochronology, usgs-5dc4631de4b0695797584c43
Organization: Department of the Interior
Next Generation Simulation (NGSIM) Vehicle Trajectories and Supporting Data

Click “Export” on the right to download the vehicle trajectory data. The associated metadata and additional data can be downloaded below under "Attachments".

Researchers for the Next Generation Simulation (NGSIM)  program collected detailed vehicle trajectory data on southbound US 101 and Lankershim Boulevard in Los Angeles, CA, eastbound I-80 in Emeryville, CA and Peachtree Street in Atlanta, Georgia. Data was collected through a network of synchronized digital video cameras. NGVIDEO, a customized software application developed for the NGSIM program, transcribed the vehicle trajectory data from the video. This vehicle trajectory data provided the precise location of each vehicle within the study area every one-tenth of a second, resulting in detailed lane positions and locations relative to other vehicles. Click the "Show More" button below to find additional contextual data and metadata for this dataset. 

For site-specific NGSIM video file datasets, please see the following:
- NGSIM I-80 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-I-80-Vide/2577-gpny
- NGSIM US-101 Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-US-101-Vi/4qzi-thur
- NGSIM Lankershim Boulevard Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Lankershi/uv3e-y54k
- NGSIM Peachtree Street Videos: https://data.transportation.gov/Automobiles/Next-Generation-Simulation-NGSIM-Program-Peachtree/mupt-aksf

Tags: arterial, atlanta, behavioral-algorithm, california, category-traffic-management, emeryville, freeway, georgia, intelligent-transportation-systems-its, interstate-80-i-80, its-joint-program-office-jpo, lankershim-boulevard, los-angeles, next-generation-simulation-ngsim, ngsim, peachtree-st, photo, project-ngsim, san-francisco-bay-area, simulation-data, subcategory-infrastructure-based-traffic-surveillance, trajectories, us-101, video
Organization: Department of Transportation
Airborne geophysical survey: South Carolina-Georgia Border, 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, brunswick-quadrangle, f13029-bryan, f13031-bulloch, f13051-chatham, f13103-effingham, f13179-liberty, f45013-beaufort, f45019-charleston, f45029-colleton, f45049-hampton, f45053-jasper, field-monitoring-stations, ga, geophysical-surveys, geophysics, georgia, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, residual-magnetic-field, savannah-quadrangle, sc, south-carolina, south-carolina-georgia-border, total-field, united-states, usgs-5dc456ad-6ca2-4b4e-b87f-5784b3ce0df7
Organization: Department of the Interior
shoreline, inletLines: Shoreline polygons and tidal inlet delineations: Assawoman Island, VA, 2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: assawoman-island, atlantic-ocean, barrier-island, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-processes, delmarva-peninsula, geomorphology, geospatial-analysis, geospatial-datasets, north-america, oceans, st-petersburg-coastal-and-marine-science-center, study-areas, u-s-geological-survey, united-states, usa, usgs, usgs-5daa379ee4b09fd3b0c9cea4, va, virginia, virginia-coast-reserve, wallops-island, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Enhanced Transit Safety Retrofit Package (E-TRP)

The data is taken from three intersections and 24 buses over a six month period in Cleveland, Ohio. The systems at the intersections provided MAP and SPAT messages and the SPAT message contained pedestrian detections from a series of cameras at the intersection. The buses received these messages and used them to alert the vehicle driver when pedestrians were about to enter the crosswalks or was in the crosswalk. The buses also used basic safety messages from external vehicles to warn the driver when another vehicle had the potential of making a right hand turn in front of the vehicle. The data contains bus locations, bus state changes, pedestrian detections and user interface state changes. 

Tags: application-message, bus-locations, category-public-transportation, cleveland, connected-vehicle-message, enhanced-transit-safety-retrofit-package-e-trp, intelligent-transportation-systems-its, its-joint-program-office-jpo, ohio, pedestrian-detection, pedestrian-in-crosswalk-warning-pcw, roadside-equipment-rse, transit, transit-signal-priority-tsp, vehicle-turning-right-in-front-of-bus-warning-vtrw
Organization: Department of Transportation
Landscape position-based habitat modeling for the Alabama Barrier Island feasibility assessment at Dauphin Island

A barrier island habitat prediction model was used to forecast barrier island habitats (for example, beach, dune, intertidal marsh, and woody vegetation) for Dauphin Island, Alabama, based on potential island configurations associated with a variety of restoration measures and varying future conditions of storminess and sea-levels. In this study, we loosely coupled a habitat model framework with decadal hydrodynamic geomorphic model outputs to forecast habitats for 2 potential future conditions related to storminess (that is, “medium” storminess and “high” storminess based on storm climatology data) and 4 sea-level scenarios (that is, a “low” increase in sea level 0.3 m by around 2030 and 2050 and 1.0 m by around 2070 and 2128). Here, storminess refers to decadal-scale variation in the frequency and magnitude of storms. These sea-level rise (SLR) scenarios followed two SLR curves the U.S. Army Corps of Engineers intermediate SLR curve (0.7 m by 2100) and high SLR curve (1.7 m by 2100). The hydrodynamic geomorphic modeling was quasi-static, using an elevated offshore water level to capture impacts of future sea-level increases, and as such did not account for the dynamic effects of rising sea levels. However, for intertidal marshes, it was important to factor in the timing of the SLR since the SLR rate is important for the ability of an intertidal marsh to keep pace with SLR. Thus, we used literature-based assumptions related to the rate of SLR to account for potential vertical accretion in intertidal marshes. This USGS data release contains comma separated values (CSV) files for predictor variables by tidal zone and spatially explicit raster-based habitat prediction results for the various island configurations assessed for this modeling effort. For more information on the habitat model methodology and results, see the publication listed in the larger work section of this metadata (Enwright and others, 2020).

Tags: barrier-flat, barrier-islands, beach, coastal-wetlands, dauphin-island, dune, environment, geocomputation, geoscientificinformation, habitat-change, habitat-model, imagerybasemapsearthcover, machine-learning, marsh, meadow, mobile, remote-sensing, usgs-5dc2dd2de4b06957975218b5, woody-vegetation
Organization: Department of the Interior
DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Parramore Island, VA, 2014

Understanding how sea-level rise will affect coastal landforms and the species and habitats they support is critical for crafting approaches that balance the needs of humans and native species. Given this increasing need to forecast sea-level rise effects on barrier islands in the near and long terms, we are developing Bayesian networks to evaluate and to forecast the cascading effects of sea-level rise on shoreline change, barrier island state, and piping plover habitat availability. We use publicly available data products, such as lidar, orthophotography, and geomorphic feature sets derived from those, to extract metrics of barrier island characteristics at consistent sampling distances. The metrics are then incorporated into predictive models and the training data used to parameterize those models. This data release contains the extracted metrics of barrier island geomorphology and spatial data layers of habitat characteristics that are input to Bayesian networks for piping plover habitat availability and barrier island geomorphology. These datasets and models are being developed for sites along the northeastern coast of the United States. This work is one component of a larger research and management program that seeks to understand and sustain the ecological value, ecosystem services, and habitat suitability of beaches in the face of storm impacts, climate change, and sea-level rise.

Tags: atlantic-ocean, barrier-island, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-hazards, delmarva-peninsula, geographic-information-systems, geomorphology, geoscientificinformation, geospatial-analysis, geospatial-datasets, gis, mean-high-water, mhw, north-america, oceans, parramore-island, st-petersburg-coastal-and-marine-science-center, transect-sampling, u-s-geological-survey, united-states, usa, usgs, usgs-5daa37dfe4b09fd3b0c9ceee, va, virginia, virginia-coast-reserve, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Advanced Messaging Concept Development: Probe Vehicle Data

Contains all PVDs generated during the AMCD field testing program. The probe vehicle message is used to exchange status about a vehicle with other DSRC readers to allow the collection of information about a typical vehicle’s traveling behaviors along a segment of road. The exchanges of this message as well as the event which caused the collection of various elements defined in the messages are in Annex B of the SAE J2735 standard.

Tags: advanced-messaging-concept-development-amcd, amcd, arterial, blacksburg, category-data-management, category-traveler-information-and-personal-mobility, connected-vehicle-message, dedicated-short-range-communication-dsrc, field-test, intelligent-transportation-systems-its, its-joint-program-office-jpo, northern-virginia, on-board-unit-obu, probe-vehicle-data-pvd, project-amcd, virginia-tech-transportation-institute-vtti
Organization: Department of Transportation
Data for Beach Mice Bayesian Network Model

This U.S. Geological Survey (USGS) data release represents tabular and geospatial data for the Biological Objectives for the Gulf Coast Project’s Beach Mice Bayesian network model. The data release was produced in compliance with 'open data' requirements as a way to make the scientific products associated with USGS research efforts and publications available to the public. The release consists of six items:
1. Bayesian network model that predicts the annual probability of beach mouse presence at a 30-m resolution in Florida coastal habitat (Tabular datasets) 
2. Bayesian network model beach mice casefile (Tabular dataset)
3. Bayesian network model detection casefile (Tabular dataset)
4. Bayesian network model output of the 2009 annual probability of beach mouse presence at a 30-m resolution in Florida coastal habitat (Raster datasets)
5. Bayesian network model output of the 2010 annual probability of beach mouse presence at a 30-m resolution in Florida coastal habitat (Raster datasets)
6. Bayesian network model output of the 2011 annual probability of beach mouse presence at a 30-m resolution in Florida coastal habitat (Raster datasets)
The USGS partnered with the U.S. Fish and Wildlife Service (USFWS), the Florida Fish and Wildlife Conservation Commission, and their conservation partners to develop a Bayesian Network model that predicts the annual probability of beach mouse presence at a local (30-m) scale. The model was used to predict the annual probability of presence across a portion of the USFWS's Central Gulf and Florida Panhandle Coast Biological Planning Unit. This spatial extent included critical habitat for three endangered subspecies of beach mice (Peromyscus polionotus ssp.). The annual probability of beach mouse presence is predicted from both local and neighborhood habitat characteristics that could be influenced by management actions. The model was created using a combination of expert elicitation, simplifying assumptions, literature-derived empirical values, and a beach mouse detection and nondetection survey. When coupled with established population objectives, this study can provide insight into how much habitat is available, how much more is needed, and where conservation or restoration efforts can most efficiently achieve established objectives. The results could be used to help guide strategic habitat conservation and adaptive management of beach mice.

Tags: adaptive-management, bayesian-network, beach-mouse, biota, coastal-dunes, downlisting-criteria, elevation, florida, gulf-of-mexico, landscape-conservation, strategic-habitat-conservation, usgs-5dc21f8ae4b069579750e438
Organization: Department of the Interior
Wyoming CV Pilot Traveler Information Message Sample (Schema Version 6)

This dataset contains a sample of the broadcast Traveler Information Messages (TIM) being generated by the Wyoming Connected Vehicle (CV) Pilot. This dataset only contains SchemaVersion 6 TIM sample data from December 18, 2018 to present. It is updated hourly and will hold up to 3 million of the most recent TIM records. 
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The Schema Version 6 data is described further <a href="https://github.com/usdot-its-jpo-data-portal/sandbox/wiki/DTG-WYDOT-Traveler-Information-Message-(TIM)-Schema-Version-6-Change-Notice" target="_blank">here</a>. For sample  TIM data prior to December 18, 2018, please refer to the <a href="https://data.transportation.gov/Automobiles/Wyoming-CV-Pilot-Traveler-Information-Message-Samp/2rdx-wgpx" target="_blank">Schema Version 5 dataset</a>. The full set of TIMs can be requested from the <a href="https://its.dot.gov/data/data-request" target="_blank" >ITS DataHub Sandbox</a>.

Tags: category-traveler-information-and-personal-mobility, connected-vehicle-message, connected-vehicle-pilot-cvp, cvp, field-test, intelligent-transportation-systems-its, its-joint-program-office-jpo, project-cvp, traveler-information-message-tim, wyoming, wyoming-connected-vehicle-cv-pilot, wyoming-cv-pilot, wyoming-department-of-transportation-wydot
Organization: Department of Transportation
Maui Island Modeling Scenarios for the Management of Axis Deer 1959-2014

Our objectives were to examine the population history of axis deer on Maui, estimate observed population growth, and then use species-specific demographic parameters in a VORTEX population viability analysis to examine removal scenarios that would most effectively reduce the population. Only nine deer were introduced in 1959, but recent estimates of &gt;10,000 deer suggest population growth rates (r) ranging between 0.147 and 0.160 although at least 11,200 have been removed by hunters and resource managers. In the VORTEX simulations, we evaluated an initial population size of 6,000 females and 4,000 males, reflecting the probable 3F:2M sex ratio on Maui because of male biased hunting. Scenarios were modeled over a 10-year period with removal rates of 10%, 20%, and 30% of each annual population estimate, considering both growth and removals. A removal rate of 10% the annual population estimate (1,000 deer in the first year), and an evenly distributed effort that would remove an approximate ratio of 3F:2M resulted in a positive growth rate of 0.103 ± 0.001. A 20% removal rate resulted in only a slight negative growth, while a 30% removal rate dropped the estimate to 2,759 ± 15 deer in 10 years. By increasing the ratio of females removed to 4F:1M in the 30% removals scenario, the rate of decline nearly doubled and resulted in a mean population of 1,086 ± 15 deer. Our results indicate that effectively reducing an axis deer population would require an annual removal of approximately 20–30% of the estimated population and maintaining a ratio of 4F:1M would result in the steepest population decline.

Tags: axis-deer-axis-axis, biota, hawaii, invasive-species, maui-island, population-viability-analysis, ungulate-management, usgs-5dc2021fe4b069579750e405
Organization: Department of the Interior
Oregon spotted frog (Rana pretiosa) telemetry and habitat use at Klamath Marsh National Wildlife Refuge in Oregon, USA

We used radio-telemetry to study late-season movement and habitat use by Oregon spotted frogs (Rana pretiosa) at Klamath Marsh National Wildlife Refuge in Oregon. This dataset includes individual frog location data and habitat use during each tracking event that occurred roughly weekly between August and December of 2017.

Tags: animal-behavior, aquatic, aquatic-biology, biota, day, environment, fall, habitats, inlandwaters, klamath-county, land-surface, modern, native-species, oregon, oxbow, river, slough, usgs-5dc1bed7e4b069579750e2c2, wetland, winter
Organization: Department of the Interior