AndreaBozzo/ceres-open-data-index huggingface dataset:
Aquifer extents in the coastal lowlands aquifer system regional groundwater availability study area in Texas, Louisiana, Mississippi, Alabama, and Florida, 2020

The U.S. Geological Survey (USGS) undertook a 5-year study beginning in 2016 to assess groundwater availability for the aquifers proximal to the Gulf of Mexico from the Texas-Mexico border to the western part of the panhandle of Florida; these aquifers are collectively referred to as the coastal lowlands aquifer system. This study is one of several regional groundwater availability studies being done as part of the USGS Water Availability and Use Science Program. Groundwater from the coastal lowlands aquifer system is used mainly for public, irrigation, and industrial supply. During the first two years of the study, the team developed an updated conceptual model of the hydrogeologic framework of the coastal lowlands aquifer system, and in support, a defining compilation of hydrogeologic data. By referencing the data in this compilation, extents of the coastal lowland aquifers were able to be updated and digitized. This data release contains the shapefiles representing the surficial extents of the  respective aquifers within the coastal lowlands: the Chicot aquifer, Evangeline aquifer, Burkeville Confining Unit, Jasper aquifer, and Catahoula to the top of the Vicksburg-Jackson confining unit.

Tags: alabama, alluvial, boundaries, catahoula-aquifer, chicot-aquifer, clas, coastal-lowlands-aquifer-system, data-release, evangeline-aquifer, florida, geographic-information-systems, geologic-maps, geospatial-datasets, gravel, groundwater, groundwater-availability-project, hydrogeology, hydrology, jasper-aquifer, louisiana, lower-mississippi, miocene, mississippi, oligocene, pleistocene, pliocene, sand, study-areas, texas, texas-gulf, time-periods, unites-states, usgs-5dc1bb6be4b069579750e2a4, water-resources
Organization: Department of the Interior
Multi-Modal Intelligent Traffic Signal Systems Basic Safety Message

The data attached and/or displayed were collected during the Multi-Modal Intelligent Transportation Signal Systems (MMITSS) study. MMITSS is a next-generation traffic signal system that seeks to provide a comprehensive traffic information framework to service all modes of transportation.

A BSM is one of the messages belonging to the Society of Automotive Engineers (SAE) J2735 Standard. This standard is geared toward supporting the interoperability of DSRC applications through the use of a standardized message set and its data frames and data elements. A BSM, which is at times referred to as a “heartbeat” message, is a frequently transmitted message (usually at approximately 10Hz) that is meant to increase a vehicle’s situational awareness. These messages are intended to be used for a variety of applications to exchange safety data regarding a vehicle’s state. 

	A typical BSM contains up to two parts. Part I, the binary large object (blob), is included in every BSM. It contains the fundamental data elements that describe a vehicle’s position (latitude, longitude, elevation) and motion (heading, speed, acceleration). Part II of a BSM contains optional data that is transmitted when required or in response to an event. Typically Part II contains data that serves as an extension of vehicle safety information (path history, path prediction, event flags) and data pertaining to the status of a vehicle’s components, such as lights, wipers, and brakes. 

NOTE: All extra attachments are located in Multi-Modal Intelligent Traffic Signal Systems Basic Safety Messages such as MAP, Detectors, and Simulation results

Tags: anthem, arizona, basic-safety-message-bsm, category-vehicle-safety, connected-vehicle-message, dedicated-short-range-communication-dsrc, field-test, freight-signal-priority-fsp, i-sig, intelligent-transportation-systems-its, its-joint-program-office-jpo, map, mmits, multi-modal-intelligent-traffic-signal-system-mmitss, project-mmits, roadside-equipment-rse, simulation-data, subcategory-v2v-basic-safety, transit-signal-priority-tsp
Organization: Department of Transportation
Gruber's Grove Bay Mercury Site Assessment Data Release

Mercury (Hg) concentrations and isotopic compositions were collected in sediments, soils, and suspended particulate matter from Gruber's Grove Bay (GGB) and upstream reference sites to inform future remedial efforts. The highest concentrations and isotopic signatures (?202Hg) were observed in soils collected from historic water settling ponds from the Badger Army Ammunition Plant (BAAP). Sediments from the upper portion of GGB showed higher isotopic compositions than sediments from the Wisconsin River. Hg concentrations in sediments were also higher in the upper portion of GGB and decreased towards the river. Sediments collected from the GGB margin (the confluence with the Wisconsin River) were within concentration and isotopic ranges observed in Weigand's Bay and further upstream sites. Suspended particulate matter collected from the Wisconsin River and GGB site were isotopically similar to upstream and reference sites.

Tags: grubers-grove-bay-wisconsin, lake-wisconsin, mercury, mercury-stable-isotopes, sediment, usgs-5dc176b8e4b069579750e15c, weigands-bay-wisconsin
Organization: Department of the Interior
Nearshore bathymetry of the Columbia River littoral cell, Washington and Oregon, 2019

This portion of the USGS data release presents bathymetry data collected during surveys performed in the Columbia River littoral cell, Washington and Oregon in 2019 (USGS Field Activity Number 2019-632-FA). Bathymetry data were collected using four personal watercraft (PWCs) equipped with single-beam sonar systems and global navigation satellite system (GNSS) receivers. The sonar systems consisted of an Odom Echotrac CV-100 single-beam echosounder and 200 kHz transducer with a 9-degree beam angle. Raw acoustic backscatter returns were digitized by the echosounder with a vertical resolution of 1.25 cm. Depths from the echosounders were computed using sound velocity profiles measured using a YSI CastAway CTD during the survey. Positioning of the survey vessels was determined at 5 to 10 Hz using Trimble R7 GNSS receivers. Output from the GNSS receivers and sonar systems were combined in real time on the PWC by a computer running HYPACK hydrographic survey software. Navigation information was displayed on a video monitor, allowing PWC operators to navigate along survey lines at speeds of 2 to 3 m/s. Survey-grade positions of the PWCs were achieved with a single-base station and differential post-processing. Positioning data from the GNSS receivers were post-processed using Waypoint Grafnav to apply differential corrections from a GNSS base station with known horizontal and vertical coordinates relative to the North American Datum of 1983. Orthometric elevations relative to the NAVD88 vertical datum were computed using National Geodetic Survey Geoid12a offsets. Bathymetric data were merged with post-processed positioning data and spurious soundings were removed using a custom Graphical User Interface (GUI) programmed with the computer program MATLAB. The average estimated vertical uncertainty of the bathymetric measurements is 10 cm. The final point data from the PWCs are provided in a comma-separated text file and are projected in cartesian coordinates using the Washington State Plane South, meters coordinate system.

Tags: bathymetry, bathymetry-and-elevation, bathymetry-measurement, clatsop-county, cmhrp, coastal-and-marine-hazards-and-resources-program, columbia-river, echo-sounders, elevation, global-positioning-system-gps-observations, gps-global-positioning-system, gps-measurement, grays-harbor-county, marine-geophysics, pacific-coastal-and-marine-science-center, pacific-county, pacific-ocean, pcmsc, sea-floor-characteristics, single-beam-echo-sounder, u-s-geological-survey, usgs, usgs-5dc0c196e4b06957974eecdb, water-depth
Organization: Department of the Interior
Long term cone production of white spruce throughout boreal forests in North America

Data were compiled on the seed production of white spruce in order to assess the long-term trends in seed production over the past 60 years in North American boreal forests.  Data on cone production was merged with annual weather, teleconnection indices such as ENSO, and historical fires in boreal forests.

Tags: biota, enso, fire, masting, seed-production, spruce, teleconnection, usgs-5dceecd4e4b06957976272ef
Organization: Department of the Interior
Abandoned Mine Land (AML) Geochemical Data: Western Slope of the Oquirrh Mountains, Tooele County, Utah

From June to September 2017, the United States Geological Survey (USGS) collected a total of 116 surficial sediment and bedrock samples from abandoned mine wastepiles, ephemeral channels below wastepiles, nearby outcrops, and background areas representative of the undisturbed lithology on the western slope of the northern half of the Oquirrh Mountain Range, approximately 20 miles southwest of Salt Lake City, Utah. The sample locations can be spatially clustered into four groups: the Bates Canyon group in the foothills below Bates Canyon; the Middle Canyon group in Middle Canyon; the Ridgeline group within the Bingham Mining District located at or near the Tooele-Salt Lake County border on the Oquirrh Mountain ridge; and the Stockton group within the historic Stockton Mining District (also known as the Rush Valley Mining District). Mining operations within the study area began in the mid-1860s and primarily targeted copper, gold, iron, lead and zinc deposits in the Pennsylvanian-Permian Oquirrh Group (Krahulec, 2018).  
Geochemical analyses were completed through a third-party contract by AGAT Laboratories. Samples were analyzed for 49 major, minor, and trace elements using Inductively Coupled Plasma-Optical Emission Spectrometry (ICP-OES) and Inductively Coupled Plasma Mass Spectrometry (ICP-MS) methods (Ag, Al, As, Ba, Be, Bi, Ca, Cd, Ce, Co, Cr, Cs, Cu, Fe, Ga, Hf, In, K, La, Li, Lu, Mg, Mn, Mo, Na, Nb, Ni, P, Pb, Rb, S, Sb, Sc, Se, Sn, Sr, Ta, Tb, Te, Th, Ti, Tl, U, V, W, Y, Yb, Zn, Zr).

Tags: abandoned-mines-and-quarries, aluminum, antimony, arsenic, barium, bates-canyon, beryllium, bingham-mining-district, bismuth, cadmium, cerium, cesium, chemical-analysis, chromium, cobalt, contaminant-transport, contamination-and-pollution, environmental-health-human, field-sampling, gallium, geochemistry, gravel-deposits, hafnium, hazards, human-environmental-safety, human-impacts, icp-ms, icp-oes, indium, iron, lanthanum, lead, lithium, lutetium, magnesium, manganese, middle-canyon, mine-drainage, mine-waste, mining-hazards, molybdenum, nickel, niobium, oquirrh-mountains, phosphorous, potassium, remediation, rubidium, rush-valley-mining-district, scandium, sediment-geochemistry, selenium, silver, sodium, stockton-mining-district, strontium, sulfur, tantalum, tellurium, terbium, thallium, tin, tooele-county, tungsten, unconsolidated-deposits, uranium, usgs-5dc06ba4e4b06957974ee988, utah, vanadium, ytterbium, yttrium, zinc, zirconium
Organization: Department of the Interior
DCpts, DTpts, SLpts: Dune crest, dune toe, and mean high water shoreline positions: Cobb 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, cobb-island, delmarva-peninsula, geographic-information-systems, geomorphology, geoscientificinformation, geospatial-analysis, geospatial-datasets, gis, mean-high-water, mhw, north-america, oceans, st-petersburg-coastal-and-marine-science-center, transect-sampling, u-s-geological-survey, united-states, usa, usgs, usgs-5daa37a4e4b09fd3b0c9ceaa, va, virginia, virginia-coast-reserve, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Wyoming CV Pilot Traveler Information Message Sample (Schema Version 5)

This dataset contains a sample of the broadcast Traveler Information Messages (TIM) being generated by the Wyoming Connected Vehicle (CV) Pilot. The full set of TIMs can be requested through the <a href='https://its.dot.gov/data/data-request' target="_blank">ITS DataHub data sandbox</a>.
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Revision Note: This dataset only contains TIM sample data prior to December 18, 2018. For the most recent sample of TIM data, please refer to the <a href="https://data.transportation.gov/Automobiles/-Dev-Wyoming-CV-Pilot-Traveler-Information-Message/6nxx-nmxk" target="_blank">Schema Version 6 dataset</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
Data Release for the 2012 Guam and Northern Mariana Islands Seismic Hazard Model

Gridded seismic hazard curve data, gridded ground motion data, and mapped gridded ground motion values are available for the 2012 Guam and Northern Mariana Islands Seismic Hazard Model. Probabilistic seismic hazard data and maps of Guam and the Northern Mariana Islands for peak ground acceleration (PGA) and 0.2 and 1.0 second spectral acceleration at probability levels of 2 percent in 50 years (annual probability of 0.000404) and 10 percent in 50 years (annual probability of 0.0021), assuming firm rock soil conditions at 760 m/s, are available. Development of the 2012 Guam and Northern Mariana Islands Seismic Hazard Model is documented in the USGS Open-File Report 2012-1015 (https://pubs.usgs.gov/of/2012/1015/).  
This dataset is considered a legacy dataset. The original dataset was uploaded to the USGS website at the time of publication of the seismic hazard model (2012) but was later moved over the the USGS ScienceBase Catalog (2019). The original dataset was assumed to be complete and accurate, but may contain inconsistencies when compared to more recent, actively maintained datasets.

Tags: earthquake-hazards-program, ehp, geologic-hazards-science-center, ghsc, ground-motion, guam-and-the-northern-mariana-islands, hazard-curve, hazard-map, national-seismic-hazard-model, national-seismic-hazard-model-project, nehrp-site-classes, nshm, nshmp, spectral-period, u-s-seismic-hazard-maps, usgs, usgs-5dc04f90e4b06957974ee89e
Organization: Department of the Interior
DisOcean: Distance to the ocean: Assateague Island, MD &amp; 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: assateague-island, assateague-island-national-seashore, atlantic-ocean, barrier-island, chincoteague-national-wildlife-refuge, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-habitat, delmarva-peninsula, environment, geographic-information-systems, geomorphology, geospatial-analysis, geospatial-datasets, gis, maryland, md, mean-high-water, mhw, north-america, oceans, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states, usa, usgs, usgs-5daa3784e4b09fd3b0c9ce8b, va, virginia, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Multi-Modal Intelligent Traffic Signal Systems GPS

Data were collected during the Multi-Modal Intelligent Transportation Signal Systems (MMITSS) study. MMITSS is a next-generation traffic signal system that seeks to provide a comprehensive traffic information framework to service all modes of transportation. The GPS data set catalogs the vehicle operation data of the test vehicles that used for the MMITSS field testing. The data contains the performance and operation details of vehicles. This file contains a number of fields detailing elements such as vehicle position and speed, fidelity measures of GPS-based data elements, and vehicle operation data.

NOTE: All extra attachments are located in Multi-Modal Intelligent Traffic Signal Systems Basic Safety Message

Tags: anthem, arizona, category-traffic-management, field-test, freight, freight-signal-priority-fsp, global-positioning-system-gps, i-sig, intelligent-transportation-systems-its, its-joint-program-office-jpo, mmits, multi-modal-intelligent-traffic-signal-system-mmitss, project-mmits, subcategory-connected-vehicle-traffic-signal-system, trajectories, transit-signal-priority-tsp
Organization: Department of Transportation
points, transects, beach width: Barrier island geomorphology and shorebird habitat metrics at 50-m alongshore transects and 5-m cross-shore points: Monomoy Island, MA, 2013-2014

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, bayesian-network, cape-cod, cmhrp, coastal-and-marine-hazards-and-resources-program, coastal-erosion, coastal-habitat, coastal-hazards, coastal-processes, environment, erosion, geographic-information-systems, geomorphology, geoscientificinformation, geospatial-analysis, geospatial-datasets, gis, hazards, land-use-and-land-cover, ma, massachusetts, mean-high-water, mhw, monomoy-island, monomoy-national-wildlife-refuge, north-america, probability, sea-level-change, sea-level-rise, shoreline-change, st-petersburg-coastal-and-marine-science-center, transect-sampling, u-s-geological-survey, united-states, usa, usgs, usgs-5daa3730e4b09fd3b0c9ce30, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Active Transportation Demand Management (ATDM) Trajectory Level Validation

The ATDM Trajectory Validation project developed a validation framework and a trajectory computational engine to compare and validate simulated and observed vehicle trajectories and dynamics. The field data were used to demonstrate how on-site instrumented vehicle data can be used to validate simulated vehicle dynamics using the validation framework. 

The vehicle trajectory data were collected in a separate task of the Active Transportation Demand Management (ATDM) Trajectory Level Validation project. The primary project objective was to develop a methodology to validate simulated vehicle dynamics at the trajectory level. Microscopic and macroscopic performance measures were calculated from the trajectory data and used in a number of validation tests related to safety, vehicle limits, driver comfort levels, and traffic flow

Tags: active-transportation-demand-management-atdm, arterial, california, category-vehicle-safety, connected-equipment, emeryville, freeway, global-positioning-system-gps, intelligent-transportation-systems-its, its-joint-program-office-jpo, on-board-diagnostics-obd, radar, real-time-kinematic-rtk-gps, san-francisco, san-francisco-bay-area, shapefiles, simulated-data, subcategory-autonomous-vehicle-safety-systems, traffic-flow, trajectories, vehicle-data
Organization: Department of Transportation
Videos collected for Image Velocimetry at Boneyard Creek at Urbana, IL from 2017 to 2018

The U.S. Geological Survey is testing deployments of continuous Large-Scale particle Image Velocimetry (LSPIV) streamgaging stations in areas with flashy flow regimes to measure streamflow during flood events. Videos were collected for the purpose of LSPIV streamflow analysis at a stage-discharge streamgaging station in a small, flashy urban stream in Urbana, Illinois, USA (Boneyard Creek at Urbana, IL, 03337000) with an internet protocol (IP) camera. The IP camera is mounted on the bottom of a walkway bridge spanning the creek at the gaging location, and is aimed to view the water for optimal camera perspective at all flow stages.  Videos of peak streamflow events with gage height above 12 feet (local gage datum) are included with this data release along with a table (comma separated values format) describing the video metadata and associated streamflow and stage instantaneous values for each video.

Tags: champaign, hydrodynamics, imagerybasemapsearthcover, location, streamflow, urbana-west, usgs-5db99d53e4b06957974eb329, video-monitoring, video-observation
Organization: Department of the Interior