AndreaBozzo/ceres-open-data-index huggingface dataset:
Multi-Modal Intelligent Traffic Signal Systems Signal Plans for Roadside Equipment

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 Signal Plans for Roadside Equipment (RSE) data contains the basics of a Signal Phase and Timing (SPAT) message. This data includes SPAT message and the timestamp of the SPAT message. The data also provides the signal phase and timing information for one or more movements at an intersection.

Tags: anthem, arizona, category-traffic-management, connected-equipment, field-test, freight, freight-signal-priority-fsp, i-sig, intelligent-transportation-systems-its, its-joint-program-office-jpo, mmits, multi-modal-intelligent-traffic-signal-system-mmitss, project-mmits, roadside-equipment-rse, signal-phase-and-timing-spat, subcategory-connected-vehicle-traffic-signal-system, transit-signal-priority-tsp
Organization: Department of Transportation
Airborne geophysical survey: Napa Valley, California

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, ca, california, f06041-marin, f06045-mendocino, f06055-napa, f06095-solano, f06097-sonoma, f06113-yolo, field-monitoring-stations, geophysical-surveys, geophysics, geospatial-datasets, magnetic, magnetic-field-earth, magnetic-surveys, napa-valley, residual-magnetic-field, santa-rosa, total-field, united-states, usgs-5dc62868-2413-4ca8-86ad-934a27bb1774
Organization: Department of the Interior
Intelligent Network Flow Optimization Prototype Traffic Management Entity-Based Queue Warning

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 queue warning messages that were recommended by the INFLO Q-WARN algorithm and sent by the traffic management center to vehicles to warn drivers upstream of the queue. The objective of queue warning is to provide a vehicle operator sufficient warning of impending queue backup in order to brake safely, change lanes, or modify route such that secondary collisions can be minimized or even eliminated.

Tags: application-message, arterial, category-traffic-management, 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, subcategory-connected-vehicle-traffic-signal-system, traffic-management-entity-based-queue-warning-q-warn, washington, washington-state-department-of-transportation-wsdot
Organization: Department of Transportation
Stream Temperature and Water Presence Models of Willow/Whitehorse and Willow/Rock Watersheds, Oregon and Nevada

This data release contains spatial stream network (SSN) objects and R scripts to run SSN models to predict mean monthly stream temperature between May and August and water presence on May 15, June 15, July 15, and August 15 in the Willow/Whitehorse watershed during 2015, 2016, and 2017 and the Willow/Rock watershed during 2016 and 2017. Functions referenced within the script may accessed in the SSN package version 1.1.13. (Ver Hoef et al., 2014). All functions and packages were compiled under R version 3.5.3 (R Development Core Team, 2014). The R script can be executed from any R console (R version 3.5.3) or from the RStudio GUI (version 1.1.463; https://www.rstudio.com/). R scripts to fit water temperature and flow presence SSN models are contained within the file "WW_WR_SSN_Model_R_Scripts.zip". SSN objects referenced by these scripts are contained within the file "WW_WR_SSN_Objects.zip". 
R Development Core Team, 2014, R: A language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing.  
Ver Hoef, J. M., Peterson, E. E., Clifford, D., &amp; Shah, R.,2014, SSN: An R package for spatial statistical modeling on stream networks. Journal  
of Statistical Software, 56(3), 1–45. https://doi.org/10.18637/jss.v056.i03

Tags: nevada, oregon, rock-creek, streamflow, usgs-5dc5e594e4b06957975a4a10, water-temperature, whitehorse-creek, willow-creek
Organization: Department of the Interior
Ten-year data for biocrust cover after fire management treatments on sagebrush-cheatgrass sites

The data reflect surveys from 10-year sampling frames established as part of the Sagebrush Steppe Treatment Evaluation Project. The project tests fuel reduction treatments on the lichen and moss components of biocrusts across the sagebrush steppe.

Tags: biocrusts, biota, environment, lichens, mosses, shrubland-ecosystems, usgs-5ddc20d1e4b06957976a5781
Organization: Department of the Interior
DisOcean: Distance to the ocean: 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, environment, geographic-information-systems, geomorphology, geospatial-analysis, geospatial-datasets, gis, mean-high-water, mhw, north-america, oceans, st-petersburg-coastal-and-marine-science-center, u-s-geological-survey, united-states, usa, usgs, usgs-5daa3796e4b09fd3b0c9ce9e, va, virginia, virginia-coast-reserve, wallops-island, woods-hole-coastal-and-marine-science-center
Organization: Department of the Interior
Advanced Messaging Concept Development Basic Safety Message

Contains all Basic Safety Messages (BSMs) collected during the Advanced Messaging Concept Development (AMCD) field testing program. For this project, all of the Part I BSM message fields were populated. Additional data fields were also added to the row to identify sender, time of communication, mode of communication, etc., allowing the consumer of this data set to accurately track messages through the system. All BSMs are generated by OBUs and ultimately received by the VCC Cloud server.

Tags: advanced-messaging-concept-development-amcd, amcd, arterial, basic-safety-message-bsm, blacksburg, category-vehicle-safety, 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, project-amcd, subcategory-v2v-basic-safety, virginia-tech-transportation-institute-vtti
Organization: Department of Transportation
Basic Safety Message Data Emulator

The Trajectory Conversion Algorithm Version 2.3 (TCA) is designed to test different strategies for producing, transmitting, and storing Connected Vehicle information. The TCA uses vehicle trajectory data, roadside equipment (RSE) location information, cellular region information and strategy information to emulate the messages connected vehicles would produce. This data set contains common data sets generated by the TCA using the BSM and PDM at 100% market penetration for two simulated traffic networks, an arterial network (Van Ness Avenue in San Francisco, CA) and a freeway network (the interchange of I-270 and I-44 in St. Louis, MO).

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: arterial, basic-safety-message-bsm, california, category-vehicle-safety, connected-vehicle-message, dedicated-short-range-communication-dsrc, emulator, freeway, intelligent-transportation-systems-its, its-joint-program-office-jpo, missouri, probe-data-message-pdm, roadside-equipment-rse, san-francisco, simulated-data, st-louis, subcategory-v2v-basic-safety, trajectory-conversion-algorithm-tca, vissim
Organization: Department of Transportation
Intelligent Network Flow Optimization Prototype Infrastructure Traffic Sensor System Data Aggregator

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 real-time volume, speed and loop occupancy data that were collected from WSDOT’s simulated roadway sensors every 20 seconds and aggregated according to user defined procedures and threshold by the Infrastructure Traffic Sensor System (TSS) Data Aggregator software.

Tags: category-traffic-management, field-test, freeway, i-5, inflo, intelligent-network-flow-optimization-inflo, intelligent-transportation-systems-its, its-joint-program-office-jpo, project-inflo, prototype-infrastructure-traffic-sensor-tss-system-data-aggregator, seattle, sensor-data, subcategory-connected-vehicle-traffic-signal-system, subcategory-infrastructure-based-traffic-surveillance, washington, washington-state-department-of-transportation-wsdot
Organization: Department of Transportation
Suspended Sediment and Water Temperature Data in the Suiattle River and the Downey Creek Tributary, Washington for select time periods over 2013 - 2017 (ver. 2.0, October 2021)

This data release provides suspended-sediment (concentration and load) and water temperature data for two locations along the Suiattle River (USGS 12187900 and 12188380) and a tributary, Downey Creek (USGS 12187985) in Washington State for partial periods over 2013-2017. Suspended-sediment and water temperature data were collected over two summer seasons from May through September 2016 and 2017 at USGS 12187900. Suspended-sediment and water temperature data were collected that approximately covers the Water Year 2017, extending from October 24, 2016 to November 16, 2017 at USGS 12187985. Suspended-sediment and water temperature data were collected from December 2013 through September 2017 at USGS 12188380. This updated version includes three changes. The first change regards the secondary surrogate (streamflow or Q) regression equation for USGS 12187900. The Q relationship at this site was split into two seasons to capture the glacier input of suspended-sediment. The updated suspended-sediment concentration (SSC), both total and fines, versus discharge regression into two seasons at USGS 12187900 only. Early season is defined as prior to August 1 and late season is defined as on and after August 1. This represents the transition of the sediment source from snowmelt to glacial melt. The early season regression predicts less suspended-sediment concentration (both total and fines) than the late season regression at a given river discharge. The relationship is much improved when splitting into two seasons, which is defined in this dataset on a specific date (August 1), however shifts in the SSC-Q relationship over a period of days or weeks. The second change in this updated version includes a change to the turbidity (primary) regression equations for USGS 12187900. The primary change is the addition of calibrated pump samples, during periods where the turbidity was greater than 20 FNU, to the input of the regressions. When all pump samples were included, the regression skewed the predicted SSC values significantly lower than observed. In order to fit the upper end of this regression more representatively the pump samples during periods less than 20 FNU were omitted. The change in the adjusted R-squared values improved from 0.77 to 0.92 for total SSC and 0.75 to 0.96 for SSC fines. The third change includes updates to daily suspended-sediment loads for USGS 12188380 during the period between 10/1/2016 to 10/12/2016 due to suspect Q data used to compute the daily sediment loads. The daily Q values for these days have since been updated on USGS's National Water Information System and daily suspended-sediment loads during that period have subsequently been updated here.

Tags: downey-creek, snohomish-county, suiattle-river, suspended-sediment-concentration, suspended-sediment-load, turbidity, usgs-5dc5d5cce4b06957975a49f8, water-temperature
Organization: Department of the Interior
Airborne radiometric flight line data, southeast Missouri and western Illinois, 2018-2019

The airborne radiometric data are provided here as part of the data release, Airborne magnetic and radiometric survey, southeast Missouri and western Illinois, 2018-2019. The radiometric data include the processed aeroradiometric data provided by the contractor  and geoTIFFs showing the potassium (K.tif), uranium (eU.tif), and thorium (eTh.tif) content. 
This data release provides digital flight line data for a high-resolution horizontal magnetic gradient and radiometric survey over an area of southeast Missouri and western Illinois. The survey represents the first airborne geophysical survey conducted as part of the U.S. Geological Survey (USGS) Earth Mapping Resource Initiative (Earth MRI) effort (Day, 2019). Earth MRI is a cooperative effort between the USGS, the Association of American State Geologists, and other Federal, State, and private sector organizations to improve our knowledge of the geologic framework of the United States. Data for this survey were collected by Terraquest, Ltd. under contract with the USGS using a fixed wing aircraft with magnetometers mounted in the tail stinger and each wing tip pod and a fully calibrated gamma ray spectrometer. The survey operated out of the Farmington, Missouri airport from December of 2018 to May of 2019. The survey covers a 146-kilometer x 154-kilometer area centered on the town of Ironton, Missouri. Data were collected along north-south flight lines spaced 300 meters (m) apart with east-west tie lines flown every 3000 m. A mean terrain clearance of 117 m was maintained except where safety dictated a higher elevation. A total of 68,375-line kilometers (km) of data were collected. Files that are available in this publication include flight line data for the magnetic gradient survey, flight line data for the radiometric survey and a report describing the survey parameters, field operations, quality control and data reduction procedures. A zip file is provided that contains the contractor's deliverable products that includes Geosoft databases and grids for the magnetic and radiometric survey and the report describing the survey and data reduction. 
The 2018-2019 survey was designed to augment and connect two previous USGS airborne geophysical surveys. Adjacent surveys include a magnetic and gravity gradiometry helicopter survey flown in 2014 (McCafferty, 2016a) centered on the Pea Ridge iron mine and a magnetic and radiometric survey flown in 2016 and centered on Ironton, Missouri (McCafferty, 2016b).

Tags: aeromagnetic-surveying, aeroradiometric-surveying, airborne-geophysical-survey, earth-mapping-resources-initiative, earthmri, economy, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, geospatial-datasets, gggsc, horizontal-magnetic-gradiometry, illinois, ironton, mineral-resources-program, missouri, mrp, potassium, thorium, uranium, usgs-5dc58376e4b06957975a47dd
Organization: Department of the Interior
Airborne horizontal magnetic gradiometry flight line data, southeast Missouri and western Illinois, 2018-2019

The airborne magnetic data are provided here as part of the data release, Airborne magnetic and radiometric survey, southeast Missouri and western Illinois, 2018-2019. The magnetic data include the processed aeromagnetic data provided by the contractor  and a geoTIFF showing the total magnetic intensity (TMI) in nanoTeslas. 
This data release provides digital flight line data for a high-resolution horizontal magnetic gradient and radiometric survey over an area of southeast Missouri and western Illinois. The survey represents the first airborne geophysical survey conducted as part of the U.S. Geological Survey (USGS) Earth Mapping Resource Initiative (Earth MRI) effort (Day, 2019). Earth MRI is a cooperative effort between the USGS, the Association of American State Geologists, and other Federal, State, and private sector organizations to improve our knowledge of the geologic framework of the United States. Data for this survey were collected by Terraquest, Ltd. under contract with the USGS using a fixed wing aircraft with magnetometers mounted in the tail stinger and each wing tip pod and a fully calibrated gamma ray spectrometer. The survey operated out of the Farmington, Missouri airport from December of 2018 to May of 2019. The survey covers a 146-kilometer x 154-kilometer area centered on the town of Ironton, Missouri. Data were collected along north-south flight lines spaced 300 meters (m) apart with east-west tie lines flown every 3000 m. A mean terrain clearance of 117 m was maintained except where safety dictated a higher elevation. A total of 68,375-line kilometers (km) of data were collected. Files that are available in this publication include flight line data for the magnetic gradient survey, flight line data for the radiometric survey and a report describing the survey parameters, field operations, quality control and data reduction procedures. A zip file is provided that contains the contractor's deliverable products that includes Geosoft databases and grids for the magnetic and radiometric survey and the report describing the survey and data reduction. 
The 2018-2019 survey was designed to augment and connect two previous USGS airborne geophysical surveys. Adjacent surveys include a magnetic and gravity gradiometry helicopter survey flown in 2014 (McCafferty, 2016a) centered on the Pea Ridge iron mine and a magnetic and radiometric survey flown in 2016 and centered on Ironton, Missouri (McCafferty, 2016b).

Tags: aeromagnetic-surveying, aeroradiometric-surveying, airborne-geophysical-survey, earth-mapping-resources-initiative, earthmri, economy, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, geospatial-datasets, gggsc, horizontal-magnetic-gradiometry, illinois, ironton, mineral-resources-program, missouri, mrp, potassium, thorium, uranium, usgs-5dc5833ce4b06957975a47da
Organization: Department of the Interior
SWAT_Hanalei

The SWAT_Hanalei folder contains the input files needed to run the Soil &amp; Water Assessment Tool (SWAT) model for the Hanalei watershed, the calibration data files, and a README_SWAT_Hanalei.txt document that describes the contents of this archive and how to run the model.

Tags: hanalei, hawaii, hydrology, kauai, mathematical-modeling, usgs-5dc4fc9fe4b06957975850f9
Organization: Department of the Interior
Surface electrical resistivity tomography, magnetic, and gravity surveys in Redwell Basin and the greater East River watershed near Crested Butte, Colorado, 2017

Surface electrical resistivity tomography (ERT), magnetics, and gravity data were acquired in July 2017 in the greater East River Watershed near Crested Butte Colorado with a focused effort in Redwell Basin.  Five ERT profiles were acquired within Redwell Basin and Brush Creek to map geologic structure at depths up to 40 meters, depending on the subsurface resistivity, using the Advanced Geosciences, Inc. SuperSting R8 resistivity meter. Approximately ten kilometers of total field magnetics data were acquired with a Geometrics G-858 cesium vapor magnetometer that detects changes in deep (tens of meters to kilometers) geologic structure based on variations in the magnetic properties of different formations. Ten gravity stations were acquired with a LaCoste and Romberg G-model relative gravimeter to map density variations. 
This data release includes raw data for all methods as well as processed and/or inverted resistivity or water content models. Digital data from all methods are provided, and data fields are defined in respective data dictionaries.

Tags: bouguer-anomaly, brush-creek, colorado, crested-butte, east-river, electrical-resistivity-tomography, environment, free-air-anomaly, geology-geophysics-and-geochemistry-science-center, geophysics, geoscientificinformation, geospatial-datasets, gggsc, gothic, gravimeter-measurement, gravitational-field-earth, gravity, groundwater, gunnison-county, hydrogeology, magnetic-anomaly-maps, magnetic-field, magnetic-surveying, magnetics, mineral-resources-program, mount-emmons, mrp, oh-be-joyful, redwell-basin, resistivity, u-s-geological-survey, usgs, usgs-5dc4b6fee4b0695797584e2f, water-resources
Organization: Department of the Interior
Feasibility Study and Assessment of Communications Approaches for Real-Time Traffic Signal Applications Study Data

This dataset contains raw Signal Phasing and Timing (SPaT), MAP, and Basic Safety Messages (BSM) data from the "Feasibility Study and Assessment of Communications Approaches for Real-Time Traffic Signal Applications" project in the hexadecimal string and pcap formats. The project characterizes and assesses the feasibility of SPaT messages for infrastructure-based safety applications by comparing messages received through cellular networks with those received through Dedicated Short Range Communication (DSRC).

This dataset contains the raw research data collected for the project. The project's final report and supporting dataset can be found at the National Transportation Library and is linked in the references section of this dataset.

Tags: basic-safety-message-bsm, category-traffic-management, cellular, connected-vehicle-message, dedicated-short-range-communication-dsrc, intelligent-transportation-systems-its, its-joint-program-office-jpo, northern-virginia, project-real-time-traffic-signal-applications, real-time-traffic-signal-applications, signal-phase-and-timing-spat, subcategory-connected-vehicle-traffic-signal-system, subcategory-infrastructure-based-traffic-surveillance, virginia-connected-corridor-vcc, virginia-department-of-transportation-vdot
Organization: Department of Transportation