AndreaBozzo/ceres-open-data-index huggingface dataset:
Synthesize Data for Emerging Data Cleaning and Fusion Tool Lane Readings

The Synthesize Data for Emerging Data Cleaning and Fusion Tool dataset is a privacy-preserving synthetic dataset developed to support and demonstrate the functionalities of the Emerging Data Cleaning and Fusion Tool. It replicates the general structure and statistical characteristics of real-world multimodal traffic data while ensuring that no sensitive or identifiable information is included. The dataset integrates multiple data sources, including TMC data, sensor data, waypoint data, trip path data, and probe OD data. It is designed to facilitate testing, validation, and demonstration of data cleaning, fusion, and calibration processes without relying on proprietary datasets. All data elements have been anonymized and perturbed through controlled noise-injection mechanisms to preserve analytical utility while maintaining strong privacy protection. This work is funded by the Federal Highway Administration (FHWA) under the project titled Emerging Data Cleaning and Fusion for Traffic Model Calibration, as part of ongoing efforts to promote the effective use of emerging data sources in transportation modeling and planning.
This file contains timestamped lane-level volume and occupancy readings.

Tags: connected-vehicle-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, loop-detector, probe-vehicle-data, project-synthesize-data-for-emerging-data-cleaning-and-fusion-tool, tmc-data, trajectories, vehicle-data
Organization: Department of Transportation
Synthesize Data for Emerging Data Cleaning and Fusion Tool Zone Name to Link

The Synthesize Data for Emerging Data Cleaning and Fusion Tool dataset is a privacy-preserving synthetic dataset developed to support and demonstrate the functionalities of the Emerging Data Cleaning and Fusion Tool. It replicates the general structure and statistical characteristics of real-world multimodal traffic data while ensuring that no sensitive or identifiable information is included. The dataset integrates multiple data sources, including TMC data, sensor data, waypoint data, trip path data, and probe OD data. It is designed to facilitate testing, validation, and demonstration of data cleaning, fusion, and calibration processes without relying on proprietary datasets. All data elements have been anonymized and perturbed through controlled noise-injection mechanisms to preserve analytical utility while maintaining strong privacy protection. This work is funded by the Federal Highway Administration (FHWA) under the project titled Emerging Data Cleaning and Fusion for Traffic Model Calibration, as part of ongoing efforts to promote the effective use of emerging data sources in transportation modeling and planning.
This file maps probe OD zone names from vendor to network links

Tags: connected-vehicle-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, loop-detector, probe-vehicle-data, project-synthesize-data-for-emerging-data-cleaning-and-fusion-tool, tmc-data, trajectories, vehicle-data
Organization: Department of Transportation
Synthesize Data for Emerging Data Cleaning and Fusion Tool Waypoint

The Synthesize Data for Emerging Data Cleaning and Fusion Tool dataset is a privacy-preserving synthetic dataset developed to support and demonstrate the functionalities of the Emerging Data Cleaning and Fusion Tool. It replicates the general structure and statistical characteristics of real-world multimodal traffic data while ensuring that no sensitive or identifiable information is included. The dataset integrates multiple data sources, including TMC data, sensor data, waypoint data, trip path data, and probe OD data. It is designed to facilitate testing, validation, and demonstration of data cleaning, fusion, and calibration processes without relying on proprietary datasets. All data elements have been anonymized and perturbed through controlled noise-injection mechanisms to preserve analytical utility while maintaining strong privacy protection. This work is funded by the Federal Highway Administration (FHWA) under the project titled Emerging Data Cleaning and Fusion for Traffic Model Calibration, as part of ongoing efforts to promote the effective use of emerging data sources in transportation modeling and planning.
This file includes timestamped coordinates associated with anonymized trips.

Tags: connected-vehicle-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, loop-detector, probe-vehicle-data, project-synthesize-data-for-emerging-data-cleaning-and-fusion-tool, tmc-data, trajectories, vehicle-data
Organization: Department of Transportation
Synthesize Data for Emerging Data Cleaning and Fusion Tool Trajectories

The Synthesize Data for Emerging Data Cleaning and Fusion Tool dataset is a privacy-preserving synthetic dataset developed to support and demonstrate the functionalities of the Emerging Data Cleaning and Fusion Tool. It replicates the general structure and statistical characteristics of real-world multimodal traffic data while ensuring that no sensitive or identifiable information is included. The dataset integrates multiple data sources, including TMC data, sensor data, waypoint data, trip path data, and probe OD data. It is designed to facilitate testing, validation, and demonstration of data cleaning, fusion, and calibration processes without relying on proprietary datasets. All data elements have been anonymized and perturbed through controlled noise-injection mechanisms to preserve analytical utility while maintaining strong privacy protection. This work is funded by the Federal Highway Administration (FHWA) under the project titled Emerging Data Cleaning and Fusion for Traffic Model Calibration, as part of ongoing efforts to promote the effective use of emerging data sources in transportation modeling and planning.
This file contains detailed trip path information, including time, location, speed, and segment ID.

Tags: connected-vehicle-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, loop-detector, probe-vehicle-data, project-synthesize-data-for-emerging-data-cleaning-and-fusion-tool, tmc-data, trajectories, vehicle-data
Organization: Department of Transportation
Synthesize Data for Emerging Data Cleaning and Fusion Tool Inventory

The Synthesize Data for Emerging Data Cleaning and Fusion Tool dataset is a privacy-preserving synthetic dataset developed to support and demonstrate the functionalities of the Emerging Data Cleaning and Fusion Tool. It replicates the general structure and statistical characteristics of real-world multimodal traffic data while ensuring that no sensitive or identifiable information is included. The dataset integrates multiple data sources, including TMC data, sensor data, waypoint data, trip path data, and probe OD data. It is designed to facilitate testing, validation, and demonstration of data cleaning, fusion, and calibration processes without relying on proprietary datasets. All data elements have been anonymized and perturbed through controlled noise-injection mechanisms to preserve analytical utility while maintaining strong privacy protection. This work is funded by the Federal Highway Administration (FHWA) under the project titled Emerging Data Cleaning and Fusion for Traffic Model Calibration, as part of ongoing efforts to promote the effective use of emerging data sources in transportation modeling and planning.
This file contains sensor metadata, such as location, direction, and road segment information.

Tags: connected-vehicle-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, loop-detector, probe-vehicle-data, project-synthesize-data-for-emerging-data-cleaning-and-fusion-tool, tmc-data, trajectories, vehicle-data
Organization: Department of Transportation
Synthesize Data for Emerging Data Cleaning and Fusion Tool TMC Identification

The Synthesize Data for Emerging Data Cleaning and Fusion Tool dataset is a privacy-preserving synthetic dataset developed to support and demonstrate the functionalities of the Emerging Data Cleaning and Fusion Tool. It replicates the general structure and statistical characteristics of real-world multimodal traffic data while ensuring that no sensitive or identifiable information is included. The dataset integrates multiple data sources, including TMC data, sensor data, waypoint data, trip path data, and probe OD data. It is designed to facilitate testing, validation, and demonstration of data cleaning, fusion, and calibration processes without relying on proprietary datasets. All data elements have been anonymized and perturbed through controlled noise-injection mechanisms to preserve analytical utility while maintaining strong privacy protection. This work is funded by the Federal Highway Administration (FHWA) under the project titled Emerging Data Cleaning and Fusion for Traffic Model Calibration, as part of ongoing efforts to promote the effective use of emerging data sources in transportation modeling and planning.
This file provides metadata for each TMC, including road name, direction, and spatial extent.

Tags: connected-vehicle-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, loop-detector, probe-vehicle-data, project-synthesize-data-for-emerging-data-cleaning-and-fusion-tool, tmc-data, trajectories, vehicle-data
Organization: Department of Transportation
Iowa Population by Poverty Status (Past 12 Months), Sex and Age (ACS 5-Year Estimates)

This dataset provides Iowa population estimates by poverty status in past 12 months, sex and age for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa.  Data is from the American Community Survey, Five Year Estimates, Table B17001.

Poverty status categories include the following: Total, At or Above Poverty, and At or Below Poverty.

Sex categories include the following: Male, Female, and Both.

Age categories include the following: All Ages, 04 Years and Under, 05 Years, 06 to 11 Years, 12 to 14 Years, 15 Years, 16 to 17 Years, 18 to 24 Years, 25 to 34 Years, 35 to 44 Years, 45 to 54 Years, 55 to 64 Years, 65 to 74 Years, and 75 Years and Over.

Tags: acs-5-year-estimates, age, american-community-survey, census-tract, county, place, poverty-status, sex
Organization: State of Iowa
Synthesize Data for Emerging Data Cleaning and Fusion Tool Link

The Synthesize Data for Emerging Data Cleaning and Fusion Tool dataset is a privacy-preserving synthetic dataset developed to support and demonstrate the functionalities of the Emerging Data Cleaning and Fusion Tool. It replicates the general structure and statistical characteristics of real-world multimodal traffic data while ensuring that no sensitive or identifiable information is included. The dataset integrates multiple data sources, including TMC data, sensor data, waypoint data, trip path data, and probe OD data. It is designed to facilitate testing, validation, and demonstration of data cleaning, fusion, and calibration processes without relying on proprietary datasets. All data elements have been anonymized and perturbed through controlled noise-injection mechanisms to preserve analytical utility while maintaining strong privacy protection. This work is funded by the Federal Highway Administration (FHWA) under the project titled Emerging Data Cleaning and Fusion for Traffic Model Calibration, as part of ongoing efforts to promote the effective use of emerging data sources in transportation modeling and planning.
This file defines the network's links in GMNS format.

Tags: connected-vehicle-data, intelligent-transportation-systems-its, its-joint-program-office-jpo, loop-detector, probe-vehicle-data, project-synthesize-data-for-emerging-data-cleaning-and-fusion-tool, tmc-data, trajectories, vehicle-data
Organization: Department of Transportation
United States Geothermal Direct-Use Database - 2025 Update

This database of geothermal direct-use systems in the U.S. was updated as part of the Geothermal Market Report from the National Renewable Energy Laboratory (NREL). Types of direct-use applications include hot springs resorts and pools, aquaculture farms, greenhouses, and district heating systems, among others; power-generating facilities and ground-source heat pumps were excluded. Where possible, the current operation status, open and close dates, well data, and other technical data were included for each entry.  The database is housed in an Excel file that organizes site attributes, application types, technical parameters, costs, location data, and project status information into labeled columns with consistent units and source references. 

Tags: database, direct-use, district-heating, energy, flow-rate, geothermal, geothermal-capacity, geothermal-direct-use, geothermal-heating, geothermal-market-report, geothermal-resources, geothermal-wells, installation-cost, installations, location, market, operation-cost, operational-status, processed-data, site-attributes, temperature-data, thermal-applications, united-states
Organization: Department of Energy
Geothermal Direct-Use Installations in the United States

An updated database of geothermal direct-use systems in the U.S. has been compiled and analyzed, building upon the Oregon Institute of Technology (OIT) Geo-Heat Center direct-use database. Types of direct-use applications examined include hot springs resorts and pools, aquaculture farms, greenhouses, and district heating systems, among others; power-generating facilities and ground-source heat pumps were excluded. Where possible, the current operation status, open and close dates, well data, and other technical data were obtained for each entry. The database contains 545 installations, of which 407 are open, 108 are closed, and 30 have an unknown  status. 
A report is also included which details and analyzes current geothermal direct-use installations and barriers to further implementation.

Tags: barriers, direct-use, energy, geo-heat-center-direct-use-database, geothermal, installations, market, status, thermal-applications, u-s, united-states
Organization: Department of Energy
Reports on Wave and Tidal Energy Cost Reduction and Performance Improvement Opportunities

This submission contains two resources developed by Booz Allen Hamilton Inc. in 2025 for the U.S. Department of Energy/Water Power Technologies Office (WPTO). The study identifies near-term opportunities to reduce costs and improve performance in wave and tidal current energy systems. Conducted in 2025, the work combines a literature review with insights from approximately 140 publicly available resources and 13 subject matter experts from five national and international organizations, to develop and recommend four potential approaches to advance marine energy technologies.

The analysis focuses on the primary cost and performance drivers for marine energy technologies including power, structural design and device profile, anchoring and mooring, operations and maintenance, and array design, and uses DOE's standardized cost breakdown structure to assess their impact on the levelized cost of energy (LCOE).
The material presented in the final report and presentation are intended to clarify, guide, and inform the research and development (R&D) of commercially viable marine energy systems.

Tags: cost-assessment, cost-reduction, economics, energy, hydrokinetic, lcoe, levelized-cost-of-energy, marine, marine-energy-cost, marine-energy-technologies, mhk, power, presentation, rd, standardized-cost-breakdown, technical-report, technology, wave-and-tidal-energy-technologies
Organization: Department of Energy
DEEPEN: Newberry Volcano MT and Gravity Data - 2022 and 2023 Acquisition and Processing

As part of DEEPEN (DE-risking Exploration of geothermal Plays in magmatic ENvironments), a 3D play fairway analysis (PFA) was conducted at Newberry Volcano in Central Oregon for multiple play types (conventional hydrothermal, superhot EGS, and supercritical). For use in this PFA, combined full tensor broadband magnetotelluric (MT) and gravity data were  acquired, processed, and inverted by Enthalpion Energy LLC (Enthalpion) with support from NREL staff. The data collection efforts took place from June 19th to July 24. Data were collected with the goal of gaining an improved understanding of the South Flank and the extent of the magma chamber. This GDR submission includes the raw data, single inversions, joint inversions, resolution matrices, and a report on these processes. More detailed information about the folder structure of the datasets included in this submission may be found on pages 94-97 of Magnetotelluric and Gravity Survey Report.pdf below.

Tags: 3-d-model, characterization, daily-reports, deepen, density, egs, energy, exploration, geophysics, geothermal, gravity, hydrothermal, inversion, joint-inversion, magmatic, mt, mt-impedance, newberry, oregon, pfa, play-fairway-analysis, processed-data, raw-data, resistivity, resolution-matrix, single-inversion, supercritical, superhot-egs, uncertainty
Organization: Department of Energy
DEEPEN Leapfrog Geodata Model Cleaned and Reformatted Exploration Datasets from Newberry Volcano

DEEPEN stands for DE-risking Exploration of geothermal Plays in magmatic ENvironments.

As part of the DEEPEN 3D play fairway analysis (PFA) conducted at Newberry Volcano for multiple play types (conventional hydrothermal, superhot EGS, and supercritical), existing geoscientific exploration datasets needed to be acquired, cleaned, reformatted, and assembled in Leapfrog Geothermal. This GDR submission includes all of the cleaned and reformatted (X (m), Y (m), elevation (m), processed data values) datasets used to build the Leapfrog Geodata model.

Existing datasets were acquired from the GDR, from AltaRock, and from other sources. This yielded the following datasets:
 - Digital elevation model produced from LiDAR data by Ramsey and Bard, 2016
 - MT surveys from 2006, 2011, 2014, and 2017 (including single inversions)
 - Gravity surveys from 2006, 2007, and 2011 (including single)
 - Earthquake catalogs from PNSN, LLNL, and the Newberry EGS Demonstration project
 - Seismic velocity model from Templeton et al., 2014
 - The Frone, 2015 temperature model and a new one produced through extrapolating downhole temperature measurements and the SMU temperature at depth maps. Two versions of the new model are provided: 250 m spacing and 500 m spacing
 - EarthVision geologic model with alteration from Moser et al., 2016
 - Well data from EGS well 55-29, deep geothermal wells, coreholes (GEO N-2 through 5) and several thermal gradient holes
 - "Newberry Well Data:" Location, simple lithology, directional survey data, and temperature data for the 34 wells and coreholes used in the Newberry PFA

Although there are additional 2D datasets available in the area, such as aeromagnetic surveys, these were not included in the analysis. While it may be possible to project these datasets into three dimensions by assuming the surface measurements do not vary with depth, this method is associated with high uncertainty. Preexisting inversions of these data were unavailable, and inverting additional geophysical datasets is outside the scope of this project.


Tags: 3d, alteration-model, characterization, datasets, deepen, dem, density, earthquake-catalog, energy, exploration, geodata, geologic-model, geothermal, gravity, hydrothermal, lidar, magmatic, magnetotellurics, modeling, mt, newberry, pfa, processed-data, resistivity, seismic, supercritical, superhot, superhot-egs, temperature-model, velocity, well-data
Organization: Department of Energy
Ambulatory Surgical Centers

<div style='text-align:Left;'><div><div><p><span>Ambulatory Surgical Centers. The dataset contains locations and attributes of Ambulatory Surgical Centers, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. A database provided by the DC Department of Health's (DOH) website identified Ambulatory Surgical Centers and DC GIS staff geo-processed the data. For further information, visit </span><a href='https://dchealth.dc.gov:443/node/162782' style='text-decoration:underline;' rel='nofollow ugc'><span>https://dchealth.dc.gov/node/162782</span></a><span>.</span></p></div></div></div>

Tags: d-c, dc, dc-gis, dcgis, district-of-columbia, health, health-care, hospital, prevention, private-facility, surgery, treatment, washington, washington-dc
Organization: District of Columbia
Viewer to Compare DC Aerial Imagery

<p>The District has collected Orthophotography dating back to 1999 and now LiDAR. These aerial images have a variety of uses including web based visualizations and to create derivative data such as buildings, roads and elevation models. They are viewed in many District web applications and made available as downloadable files. They can also be accessed as web services to integrate into your web apps. Use this viewer to compare a handful of imagery from past years. The District of Columbia typically captures aerial imagery every other year.</p>

Tags: aerial-image, dc, district-of-columbia, orthophoto, washington-dc
Organization: District of Columbia
Story Map Gallery

<p>The District of Columbia shares story maps that combine impactful narratives and multimedia with data and analytics. These examples support agency programs and help illustrate how DC government is using its data.</p><p>This app is embedded in&nbsp;<a target='_blank' href='https://opendata.dc.gov/pages/data-stories' rel='nofollow ugc noopener noreferrer'>opendata.dc.gov/pages/data-stories</a>.</p>

Tags: data-stories, dc, district-of-columbia, gallery, opendata-dc-gov, story-maps, storymaps, washington-dc
Organization: District of Columbia
Black History Sites: Washington

<p>With their longtime presence even before the establishment of a city, African Americans have been central to the culture, heritage and civic life of Washington, DC. This website records nearly 300 places associated with African American history and culture in the District of Columbia. These sites span the city's history from its creation in 1791, through the Civil War and Civil Rights eras to 1974—when DC gained Home Rule—and beyond.</p><p>The selected sites highlight the social, cultural and political movements that have shaped the city. They tell the story of events and people who changed its history. They include the boundary stones of the new federal territory, famously set on sites determined by astronomer Benjamin Banneker in 1792 and the Lincoln Memorial where Marian Anderson sang in 1939 and where Martin Luther King, Jr. gave his "I Have a Dream" speech in 1963. They also include many of the schools, businesses, churches, recreational centers, communities and homes of individuals where Black Washingtonians studied, worked, worshipped, played and consistently fought for their rights as individuals and as a race.</p>

Tags: black-history-sites, dc-office-of-planning
Organization: District of Columbia