AndreaBozzo/ceres-open-data-index huggingface dataset:
Hydrologic, water-quality, fire, forest-cover, and other data, the Great Dismal Swamp, Virginia and North Carolina

The Great Dismal Swamp (the swamp) is a forested peatland in southeastern Virginia and northeastern North Carolina.  Since early colonial times, timber harvesting and drainage through a network of ditches constructed to facilitate the harvesting have altered these ecosystems.  The U.S. Fish and Wildlife Service has managed the swamp as the Great Dismal Swamp National Wildlife Refuge since 1974 to restore its forest communities to those present in early colonial times.  Part of the approach to forest restoration has been to "restore the hydrology."  The report by Speiran and Wurster (2020) describes the hydrology and water quality across the swamp.
Part of the data used to describe the hydrology and water quality of the Great Dismal Swamp are not available through other publicly accessible databases.  These data are derived from three sources:  (1) water-quality data collected at 90 sites throughout the swamp by the U.S. Geological Survey and the U.S. Fish and Wildlife Service as part of a one-time synoptic survey on March 15-31, 2016, (2) water-level, flow, and forest-cover data collected across the swamp by the U. S. Fish and Wildlife Service since 2009, and (3) data collected by the U.S. Army Corps of Engineers since 1940 on levels of Lake Drummond and flow from the Feeder Ditch and the Dismal Swamp Canal at Deep Creek, Va., and South Mills, N.C.
The water-quality data were used to help identify and verify sources of water to the swamp.  Forest-cover data provide a reference for comparison with forest cover in the early 1970s and the future.  The remaining data are hydrologic information within and around the swamp.
Reference: Speiran, G.K., and Wurster, F.C., 2020, Hydrology and water quality of the Great Dismal Swamp National Wildlife Refuge, Virginia and North Carolina, and implications for hydrologic-management goals and strategies: U.S. Geological Survey Scientific Investigations Report, 2020-XXXX, xx p.

Tags: camden-county, city-of-chesapeake, city-of-suffolk, deep-creek, dismal-swamp-canal, earth-sciences, feeder-ditch, fires, forest-ecosystems, gates-county, great-dismal-swamp-national-wildlife-refuge, human-impacts, hydrology, lake-drummond, natural-resources, north-carolina, partnerships, pasquotank-county, south-mills, streamflow, usgs-5dcd70c1e4b069579760af01, virginia, water-quality, water-sampling
Organization: Department of the Interior
Tampa CV Pilot Basic Safety Message (BSM) Sample

The Tampa CV Pilot generates data from the interaction between vehicles and between vehicles and infrastructure. This dataset consists of Basic Safety Messages (BSMs) generated by participant and public transportation vehicles onboard units (OBU) and transmitted to road-side units (RSU) located throughout the Tampa CV Pilot Study area. The full set of raw, BSM data from Tampa CV Pilot can be requested from the <a href="https://its.dot.gov/data/data-request" target="_blank" >ITS DataHub Sandbox</a>. The data fields follow SAE J2735 and J2945/1 standards and adopted units of measure. 

This dataset holds a flattened sample of the BSM data from Tampa CV Pilot. An extra geo column (coreData_position) was added to this dataset to allow for mapping of the geocoded BSM data within Socrata, and a column of random numbers (randomNum) was added to allow for random sampling of data points within Socrata.

Tags: arterial, basic-safety-message-bsm, category-vehicle-safety, connected-vehicle-message, connected-vehicle-pilot-cvp, cvp, field-test, florida, intelligent-transportation-systems-its, its-joint-program-office-jpo, project-cvp, roadside-equipment-rse, subcategory-v2v-basic-safety, tampa, tampa-connected-vehicle-pilot-deployment-tampa-cv-pilot, tampa-hillsborough-expressway-authority-thea
Organization: Department of Transportation
Landsat and Sentinel-2 satellite data fusion-derived evapotranspiration maps of Palo Verde Irrigation District, California, USA

Three ET datasets were generated to evaluate the potential integration of Landsat and Sentinel-2 data for improved ET mapping. The first ET dataset was generated by linear interpolation (Lint) of Landsat-based ET fraction (ETf) images of before and after the selected image dates. The second ET dataset was generated using the regular SSEBop approach using the Landsat image only (Lonly). The third ET dataset was generated from the proposed Landsat-Sentinel data fusion (L-S) approach by applying ETf images from Landsat and Sentinel. The scripts (two) used to generate these three ET datasets are included – one script for processing SSEBop model to generate ET maps from Lonly and another script for generating ET maps from Lint and L-S approach.

Tags: environment, evapotranspiration, inlandwaters, landsat, sentinel, usgs-5dcd6419e4b069579760aee6
Organization: Department of the Interior
Unit hydrographs of evolving urban watersheds across the United States

The study investigated the impact of changes in land cover and climate on stormflow of evolving six urban watersheds across the United States by applying the unit hydrograph method. The dataset contains land cover, climate, unit hydrograph and its characteristics (peak and time to peak) data from 1985 to 2019 and watershed boundary shapefiles. The changes in year-to-year and long-term unit hydrograph characteristics were associated with changes in land cover and climate. Overall, increasing peak trends and decreasing in time to peak trends were observed, suggesting larger and faster stormflow driven by both land cover and climate change across the evolving urban watersheds. The long-term trends in unit hydrograph characteristics could be useful for projecting future stormflows and implementing flood mitigation to minimize losses.

Tags: climate-change, environment, inlandwaters, land-cover-change, stormflow, unit-hydrograph, usgs-5dcd62fae4b069579760aedd
Organization: Department of the Interior
Minnesota Department of Transportation Mobile Observation

These data files were obtained from Minnesota Department of Transportation (MnDOT) under the Integrated Mobile Observation (IMO) contract. The instrumented vehicles include snowplows (made by Sterling and International) and light-duty pickups (made by Ford).  The snowplows travel pre-determined routes in 12-hour shifts during winter-weather events, carrying out winter-maintenance activities appropriate for the event and MnDOT rules of practice (snow-plowing, applying chemicals, etc.).  The light-duty vehicles travel throughout the state. Data from May 2013 onward is included. The files include VaiX records, DjX records, CanX records, ObdY records, vehicle location and status and store-and-forward messages.

Tags: arterial, category-maintenance-and-construction, cellular, connected-vehicles, field-test, freeway, integrated-mobile-observation-imo, intelligent-transportation-systems-its, its-joint-program-office-jpo, minnesota, minnesota-department-of-transportation-mndot, public-safety, simulation-data, weather
Organization: Department of Transportation
Compiled data for groundwater levels, groundwater withdrawals by wells and quarries, and point-source discharges to streams in the vicinity of Willow Grove and Warminster, Bucks and Montgomery Counties, Pennsylvania, for selected years during 1999-2017

This USGS Data Release includes hydrologic data compiled for selected years during the period 1990-2017 to support the development and calibration of a numerical groundwater model used to simulate groundwater flow paths at and near former and currently active military bases in Montgomery and Bucks Counties in southeastern Pennsylvania (Goode and Senior, 2020). The hydrologic data compiled for the study area include: 1) withdrawal (pumping) rates for production and other wells; 2) quarry pumping rates; 3) rates of flow discharged to streams from the National Pollution Discharge Elimination System (NPDES) sources, and 4) measured water levels in wells. The data were compiled from various sources described in the metadata for each type of data, with complete references for data sources listed in (Goode and Senior, 2020). Withdrawal (pumping) and discharge rates in the data release represent annual average rates computed as needed from data compiled from various sources. The principal time periods for compiled data include 1990's, 2010, 2013, 2016, and 2017. Some values are estimated where data were missing or not available.

Tags: bucks-county, hydrogeology, montgomery-county, usgs-5dcc7569e4b069579760449e, water-resources, willow-grove
Organization: Department of the Interior
Seattle 20 Second Freeway

This set of data files is one of the four test data sets acquired by the USDOT Data Capture and Management program.  It contains the following data for the six months from May 1 2011 to October 31 2011:
-Raw and cleaned data for traffic detectors deployed by Washington Department of Transportation (WSDOT) along I-5 in Seattle. Data includes 20-second raw reports.
-Incident response records from the WSDOT's Washington Incident Tracking System (WITS).
-A record of all messages and travel times posted on WSDOT's Active Traffic -Management signs and conventional variable message signs on I-5.
-Loop detector volume and occupancy data from arterials parallel to I-5, estimated travel times on arterials derived from Automatic License Plate Reader (ALPR) data, and arterial signal timing plans.
-Scheduled and actual bus arrival times from King County Metro buses and Sound Transit buses.
-Incidents on I-5 during the six month period
-Seattle weather data for the six month period
-A dataset of GPS breadcrumb data from commercial trucks described in the documentation is not available to the public because of data ownership and privacy issues.

This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

Note: All extras are attached in Seattle Freeway Travel Times https://data.transportation.gov/Automobiles/Seattle-Freeway-Travel-Times/9v5g-t8u8

Tags: arterial, category-traffic-management, freeway, incident-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, project-usdot-dcm, seattle, seattle-test-data-sets, sensor-data, subcategory-vehicle-based-traffic-surveillance, traffic-detectors, transit, trucks, university-of-washington-transportation-research-center-trac, usdot-data-capture-and-management-program-dcm, usdot-dcm, volume-data, washington, washington-incident-tracking-system-wits, washington-state-department-of-transportation-wsdot, weather
Organization: Department of Transportation
Tampa CV Pilot Traveler Information Message (TIM) Sample

The Tampa CV Pilot generates data from the interaction between vehicles and between vehicles and infrastructure. This dataset consists of Traveler Information Messages (TIMs) transmitted by road-side units (RSU) located throughout the Tampa CV Pilot Study area.  The full set of raw, TIM data from Tampa CV Pilot can be requested from the <a href="https://its.dot.gov/data/data-request" target="_blank">ITS DataHub Sandbox</a>. The data fields follow a SAE J2735 TIM message structure to convey important traffic information to onboard units (OBU) of equipped vehicles. Refer to SAE J2735 Section 5.16 Message: MSG_TravelerInformation Message (TIM).

This dataset holds a flattened sample of the TIM data from Tampa CV Pilot. Three additional fields were added to this Socrata dataset during ETL: a geo column (travelerdataframe_msgId_position) to allow for mapping of the geocoded TIM data within Socrata, a random number column (randomNum) to allow for random sampling of data points within Socrata, and a time of day generated column (metadata_generatedAt_timeOfDay) to allow for filtering of data by generated time.

Tags: arterial, category-traveler-information-and-personal-mobility, connected-vehicle-message, connected-vehicle-pilot-cvp, cvp, field-test, florida, intelligent-transportation-systems-its, its-joint-program-office-jpo, project-cvp, roadside-equipment-rse, tampa, tampa-connected-vehicle-pilot-deployment-tampa-cv-pilot, tampa-hillsborough-expressway-authority-thea, traveler-information-message-tim
Organization: Department of Transportation
Data from Burmese pythons swabbed for the presence of SFD-causing Ophidiomyces in southwest Florida

The size and sex of each of the Burmese pythons swabbed in this study for the SFD-causing (snake fungal disease) Ophidiomyces ophiodiicola pathogen is given along with the real time PCR swab result.

Tags: biota, disease-vectors, environment, florida, invasive-species, reptiles, southern-florida, usgs-5dcc4139e4b06957975ef8b0, wildlife-disease
Organization: Department of the Interior
Intelligent Network Flow Optimization Prototype Traffic Management Entity-Based Speed Harmonization

Data is from the small-scale demonstration of the Intelligent Network Flow Optimization (INFLO) Prototype System and applications in Seattle, Washington. Connected vehicle systems were deployed in 21 vehicles in a scripted driving scenario circuiting this I-5 corridor northbound and southbound during morning rush hour. This data set contains speed harmonization messages that were recommended by the INFLO SPD-HARM algorithm and sent by the traffic management center to the connected vehicles, which provided drivers with the suggested speed while driving on the segment of I-5 that was included in the test.  The objective of speed harmonization is to dynamically adjust and coordinate maximum appropriate vehicle speeds in response to downstream congestion, incidents, and weather or road conditions in order to maximize traffic throughput and reduce crashes.

Tags: application-message, arterial, category-traffic-management, connected-vehicles, dedicated-short-range-communication-dsrc, field-test, freeway, i-5, inflo, intelligent-network-flow-optimization-inflo, intelligent-transportation-systems-its, its-joint-program-office-jpo, project-inflo, seattle, spd-warn, speed-harmonization, subcategory-connected-vehicle-traffic-signal-system, traffic-management-entity-based-speed-harmonization, washington
Organization: Department of Transportation
Advanced Driver Assistance System (ADAS)-Equipped Single-Vehicle Data for Central Ohio

The datasets contain the subject ADAS-equipped vehicle’s trajectory collected in naturalistic traffic conditions in central Ohio. The instrumented subject vehicle was either a discreet or readily-identifiable ADAS-equipped vehicle with SAE L2 capabilities. The dataset also contains trajectories for adjacent vehicles in traffic (observed by the subject vehicle’s onboard sensors).

Tags: adas, advanced-driver-assistance-system-adas, automated-vehicles, category-vehicle-safety, connected-vehicles, intelligent-transportation-systems-its, its-joint-program-office-jpo, naturalistic-driving-study, ohio, project-adas, sae-level-2, single-vehicle, subcategory-autonomous-vehicle-safety-systems, vehicle-interaction
Organization: Department of Transportation
Next Generation Simulation (NGSIM) Open Data

ITS DataHub has partnered with the Federal Highway Administration's (FHWA's) Next Generation SIMulation (NGSIM) program to make available detailed vehicle trajectory data and supporting data files along with the raw and processed video files from the NGSIM data collection efforts. Researchers for the NGSIM program collected the specified data on southbound US 101 and Lankershim Boulevard in Los Angeles, CA, eastbound I-80 in Emeryville, CA and Peachtree Street in Atlanta, GA.

This article provides a brief overview of the NGSIM program data collection as well as what types of data are available on ITS DataHub. Some examples of possible uses for the data and information on how to cite the various NGSIM datasets are also included.

Tags: arterial, behavioral-algorithm, california, cambridge-systematics-camsys, 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
Table of Electron Probe Microanalyses of Cassiterite from the Sullivan Pb-Zn-Ag Deposit, British Columbia

This dataset contains results from electron microprobe analyses of cassiterite from the Sullivan Pb-Zn-Ag deposit, British Columbia. These data were collected from two samples and may not reflect the overall variability present at the deposit.   An ASCII text file of results is provided in comma-separated by value (csv) format. The file has the name “2019-07-09_Sullivan_Cassiterite”.

Tags: cassiterite, chemical-analysis, electron-microprobe, electron-probe-microanalysis, epma, geochemistry, geology-geophysics-and-geochemistry-science-center, geoscientificinformation, gggsc, mineral-resources, mineral-resources-program, mineralogy, mrp, usgs-5dc9b92ee4b06957975cab8d
Organization: Department of the Interior
Vehicle Awareness Device Data from Leesburg, Virginia

The files in this data environment were produced using the Vehicle Awareness Device (VAD) installed on one test vehicle over a two month period. The VAD installed in the test car is identical to the VADs installed in over 2800 vehicles participating in the Safety Pilot Model Demonstration conducted from August 2012 through August 2013 by the National Highway Traffic Safety Administration (NHTSA) in Ann Arbor, Michigan.

This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

Tags: ann-arbor, basic-safety-message-bsm, category-vehicle-safety, connected-vehicle-message, connected-vehicles, freeway, intelligent-transportation-systems-its, its-joint-program-office-jpo, leesburg, michigan, project-ode, project-vad, safety-pilot-model-deployment-spmd, social-services, subcategory-autonomous-vehicle-safety-systems, usdot-research-and-innovative-technology-administration-rita, vad, vehicle-awareness-device-vad, virginia
Organization: Department of Transportation
Connected Vehicle Pilot (CVP) Open Data

ITS JPO's Connected Vehicle Pilot Deployment Program integrates connected vehicle research concepts into practical and effective elements to enhance existing operational capabilities. Data were collected throughout each pilot to facilitate independent evaluations of the use of connected vehicle technology on real roadways.

To encourage additional study and reuse of these data, ITS DataHub has partnered with each pilot site to make sanitized and anonymized tabular and non-tabular data from these projects available to the public. This article gives you a brief overview of what each pilot focused on and what types of CV Pilot data and tools are available on ITS DataHub.

Tags: arterial, automobiles, basic-safety-message-bsm, bicycles-pedestrians, category-vehicle-safety, connected-vehicle-message, connected-vehicle-pilot-cvp, cvp, data-story, field-test, florida, freeway, freight, intelligent-transportation-systems-its, its-joint-program-office-jpo, multi-modal-intelligent-traffic-signal-system-mmitss, new-york-city, new-york-city-department-of-transportation-nycdot, project-cvp, project-mmits, roadside-equipment-rse, roadway-bridges, subcategory-v2v-basic-safety, tampa, tampa-connected-vehicle-pilot-deployment-tampa-cv-pilot, tampa-hillsborough-expressway-authority-thea, transit, trucking-motorcoaches, trucks, wyoming, wyoming-connected-vehicle-cv-pilot, wyoming-cv-pilot, wyoming-department-of-transportation-wydot
Organization: Department of Transportation
Prototype Operational Data Environment (P-ODE)

The data elements contained in this data environment were collected during the Prototype Operational Data Environment (P-ODE) formal data collection period. The Prototype Operational Data Environment (P-ODE) is a system that receives data from multiple sources in real-time, is capable of performing validation, integration, and sanitization checks, transforms the data into a consistent format, and makes the data available to applications as well as stores the data in ITS JPO data system. This data environment contains speed, volume, occupancy, travel time, and incident data collected along I-66 in Northern Virginia between May 2016 and August 2016. The ASN.1 data set contains data records in their original binary form, while Detector and Incident data sets each contain records that have been converted to text format.

This legacy dataset was created before data.transportation.gov and is only currently available via the attached file(s). Please contact the dataset owner if there is a need for users to work with this data using the data.transportation.gov analysis features (online viewing, API, graphing, etc.) and the USDOT will consider modifying the dataset to fully integrate in data.transportation.gov.

Tags: basic-safety-message-bsm, category-data-management, detector, freeway, incident-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, northern-virginia, occupancy-data, ode, project-ode, prototype-operational-data-environment-p-ode, saxton-transportation-operations-laboratory, sensor-data, speed-data, travel-time, volume-data
Organization: Department of Transportation
Surface Water Pesticide Detection Frequency and Benchmark Exceedance Data for the Conterminous United States, 2013-2017

The tabular data tables in this product include detection frequency and benchmark exceedances of agricultural pesticides in surface water samples collected in rivers and streams. The data are a product of a national-scale assessment of the toxicity of 221 pesticides at 74 sites during water years 2013 - 2017 conducted by the U.S. Geological Survey National Water Quality Pesticide Monitoring Program.
Data were collected to 1) determine where and how often pesticides are detected in surface waters, and 2) identify regions in the continental United States that had streams with a higher risk of potential pesticide toxicity by comparing concentrations to both aquatic-life and human-health benchmarks.

Tags: conterminous-united-states, detection-chemical, ecotoxicology, environment, pesticide-and-herbicide-contamination, river-ecosystems, united-states, usgs-5dc9932ee4b06957975cab88, water-quality
Organization: Department of the Interior
Detection of invasive aquatic plants Myriophyllum spicatum and Egeria densa in lakes using eDNA, field and mesocosm data

We conducted a study to test the factors related to detectability of two invasive aquatic plants (Egeria densa and Myriophyllym spicatum) using environmental DNA (eDNA), over extended periods of time, and specifically examined how plant growth stage and abundance relates to eDNA detection in semi-natural and natural conditions. This dataset is from sampling performed in summer of 2018 in lakes with varying species abundances, and a subset of lakes were re-sampled to test temporal variability in detection.

Tags: biota, egeria-densa, environment, environmental-dna, myriophyllym-spicatum, non-native-species, usgs-5e386582e4b0a79317df566a
Organization: Department of the Interior
Scarps mapped on 1m lidar data along Crowleys Ridge

This dataset provides line work of fault, fold, and unknown scarps mapped along the margins of Crowleys Ridge in the New Madrid seismic zone, Arkansas and Missouri.

Tags: arkansas, geomorphology, geoscientificinformation, missouri, national-elevation-dataset-ned, usgs-5e34aa6de4b0a79317dc5f74
Organization: Department of the Interior