AndreaBozzo/ceres-open-data-index huggingface dataset:
Iowa Median Age by Sex and Hispanic or Latino Origin (ACS 5-Year Estimates)

This dataset contains Iowa median age by sex and Hispanic or Latino origin for State of Iowa, individual Iowa counties, Iowa places and census tracts within Iowa.  Data is from the American Community Survey, Five Year Estimates, Tables B01002H and B01002I.

Sex includes the following: Male, Female and Both

Hispanic includes, yes or no.  Yes = Hispanic or Latino; No = White Alone, Not Hispanic or Latino

Tags: acs-5-year-estimates, american-community-survey, census-tract, county, hispanic-origin, place, sex
Organization: State of Iowa
Iowa Employment Status for the Population 16 Years and Over (ACS 5-Year Estimates)

This dataset contains Iowa population estimate for individuals 16 years and older by employment status 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 B23025.

Employment status includes the following: Total, Labor Force, Civilian Labor Force, Civilian Employed Labor Force, Civilian Unemployed Labor Force, Armed Forces and Not in Labor Force.

Tags: acs-5-year-estimates, american-community-survey, census-tract, county, employment-status, place, population
Organization: State of Iowa
Iowa Median Earnings in Past 12 Months for the Civilian Employed Population 16 Years and Over by Sex and Occupation (ACS 5-Year Estimates)

This dataset provides median earnings in past 12 months for civilian employed population 16 years and over by sex and occupation 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 B24012.

Sex categories included: Male, Female, and Both

Occupation categories included: Management occupations, Business and financial operations occupations, Computer and mathematical occupations, Architecture and engineering occupations, Life physical and social science occupations, Community and social service occupations, Legal occupations, Education training and library occupations, Arts design entertainment sports and media occupations, Health diagnosing and treating practitioners and other technical occupations, Health technologists and technicians, Healthcare support occupations, Fire fighting and prevention and other protective service workers including supervisors, Law enforcement workers including supervisors, Food preparation and serving related occupations, Building and grounds cleaning and maintenance occupations, Personal care and service occupations, Sales and related occupations, Office and administrative support occupations, Farming fishing and forestry occupations, Construction and extraction occupations, Installation maintenance and repair occupations, Production occupations, Transportation occupations, and Material moving occupations.

Occupations are organized into broader occupation groups and categories.

Tags: acs-5-year-estimates, american-community-survey, census-tract, county, median-earnings, occupation, place, sex
Organization: State of Iowa
Iowa Population 16 Years and Over by Sex and Earnings in Past 12 Months (ACS 5-Year Estimates)

This dataset provides Iowa population 16 years and over by sex and earnings in past 12 months 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 B20001.

Sex categories: Male, Female, and Both

Earnings in Past 12 Months.  Categories include: 01 - $1 to $2499 or loss, 02 - $2500 to $4999, 03 - $5000 to $7499, 04 - $7500 to $9999, 05 - $10000 to $12499, 06 - $12500 to $14999, 07 - $15000 to $17499, 08 - $17500 to $19999, 09 - $20000 to $22499, 10 - $22500 to $24999, 11 - $25000 to $29999, 12 - $30000 to $34999, 13 - $35000 to $39999, 14 - $40000 to $44999, 15 - $45000 to $49999, 16 - $50000 to $54999, 17 - $55000 to $64999, 18 - $65000 to $74999, 19 - $75000 to $99999, and 20 - $100000 or more.

Tags: acs-5-year-estimates, american-community-survey, census-tract, county, earnings, place, sex
Organization: State of Iowa
PLACES: Local Data for Better Health, County Data 2024 release

This dataset contains model-based county estimates. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. This dataset includes estimates for 40 measures: 12 for health outcomes, 7 for preventive services use, 4 for chronic disease-related health risk behaviors, 7 for disabilities, 3 for health status, and 7 for health-related social needs. These estimates can be used to identify emerging health problems and to help develop and carry out effective, targeted public health prevention activities. Because the small area model cannot detect effects due to local interventions, users are cautioned against using these estimates for program or policy evaluations. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimate data, and American Community Survey 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. More information about the methodology can be found at www.cdc.gov/places.

Tags: behaviors, brfss, county, disability, health, outcomes, places, prevalence, prevention, risk, status
Organization: U.S. Department of Health & Human Services
Help America Vote Verification (HAVV) Transactions by State - Week Ending November 29, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending November 29, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, november, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
Help America Vote Verification (HAVV) Transactions by State - Week Ending November 22, 2025

This dataset represents the results of the 4-digit match performed using the Social Security - Help America Vote Verification (HAVV) system. Report for week ending November 22, 2025.

Tags: 2025, foia, freedom-of-information-act, hava, havv, help-america-vote-act, help-america-vote-verification, november, social-security, social-security-administration, ssa, voter, voter-registration
Organization: Social Security Administration
PLACES: Place Data (GIS Friendly Format), 2024 release

This dataset contains model-based place (incorporated and census designated places) estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia —at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population estimates, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the 2020 Census place boundary file in a GIS system to produce maps for 40 measures at the place level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

Tags: behaviors, city, disability, gis, health, outcomes, place, places, prevalence, prevention, risk, status
Organization: U.S. Department of Health & Human Services
Iowa Civilian Employed Population 16 Years and Over by Sex and Class of Worker (ACS 5-Year Estimates)

This dataset contains Iowa civilian employed population estimate for individuals 16 years or older by by sex and class of worker 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 B24080.

Sex includes the following: Both, Male, and Female.

Class of Worker includes the following: All Classes; Private-for-Profit Wage and Salary Workers; Private-for-Profit Wage and Salary Workers, Employee; Private-for-Profit Wage and Salary Workers, Self-Employed in Own INC; Private Not-for-Profit Wage and Salary Workers; Local Government Workers; State Government Workers; Federal Government Workers; Self-Employed; and Unpaid Family Workers.

Tags: acs-5-year-estimates, american-community-survey, census-tract, class-of-worker, county, place, population, sex
Organization: State of Iowa
PLACES: ZCTA Data (GIS Friendly Format), 2024 release

This dataset contains model-based ZIP Code Tabulation Area (ZCTA) level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2020 population counts, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census 2021 ZCTA boundary file in a GIS system to produce maps for 40 measures at the ZCTA level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

Tags: behaviors, disability, gis, health, outcomes, places, prevalence, prevention, risk, status, zcta, zip-code
Organization: U.S. Department of Health & Human Services
PLACES: County Data (GIS Friendly Format), 2024 release

This dataset contains model-based county-level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. Project was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2022 county population estimates, and American Community Survey (ACS) 2018–2022 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the census 2022 county boundary file in a GIS system to produce maps for 40 measures at the county level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software. https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

Tags: behaviors, county, disability, gis, health, outcomes, places, prevalence, prevention, risk, status
Organization: U.S. Department of Health & Human Services
PLACES: Census Tract Data (GIS Friendly Format), 2024 release

This dataset contains model-based census tract level estimates in GIS-friendly format. PLACES covers the entire United States—50 states and the District of Columbia—at county, place, census tract, and ZIP Code Tabulation Area levels. It provides information uniformly on this large scale for local areas at four geographic levels. Estimates were provided by the Centers for Disease Control and Prevention (CDC), Division of Population Health, Epidemiology and Surveillance Branch. PLACES was funded by the Robert Wood Johnson Foundation in conjunction with the CDC Foundation. Data sources used to generate these model-based estimates are Behavioral Risk Factor Surveillance System (BRFSS) 2022 or 2021 data, Census Bureau 2010 population estimates, and American Community Survey (ACS) 2015–2019 estimates. The 2024 release uses 2022 BRFSS data for 36 measures and 2021 BRFSS data for 4 measures (high blood pressure, high cholesterol, cholesterol screening, and taking medicine for high blood pressure control among those with high blood pressure) that the survey collects data on every other year. These data can be joined with the Census tract 2022 boundary file in a GIS system to produce maps for 40 measures at the census tract level. An ArcGIS Online feature service is also available for users to make maps online or to add data to desktop GIS software.
https://cdcarcgis.maps.arcgis.com/home/item.html?id=3b7221d4e47740cab9235b839fa55cd7

Tags: behaviors, census-tract, disability, gis, health, outcomes, places, prevalence, prevention, risk, status
Organization: U.S. Department of Health & Human Services
Aids to Navigation

This data set identifies aids to navigation, or ATONs, such as lights, signals, buoys, and day beacons, that are intended to assist a navigator to determine position or safe course, or to warn of dangers or obstructions to navigation. The U.S. Coast Guard is responsible for ensuring that this network is up to date and functioning properly so recreational and commercial boaters can safely navigate the maritime environment. Not for navigation.

Tags: coastal, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, human dimensions, marinecadastre, national ocean service, noaa, north america, office of coastal management, outer continental shelf, planning, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
High Frequency Radar Stations

High frequency radar can measure the speed and direction of ocean surface currents in near real time. These radars can measure currents over a large region of the coastal ocean, from a few kilometers offshore up to 200 km and can operate under any weather conditions. They are located near the shoreline, and need not be situated atop a high point of land.

Tags: coastal, continent, doc/noaa/nos/ocm, earth science, environmental governance/management, exclusive economic zone, human dimensions, marinecadastre, national ocean service, noaa, north america, office of coastal management, planning, renewable energy, territorial sea, u.s. department of commerce, united states of america
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Geoid Height and Deflections of the Vertical Models

In Gauss' words, the geoid is "the mathematical figure of the Earth". This figure is an equipotential surface coincident with the idealized mean sea surface. The geoid can be computed from the geodetic boundary value problems that use gravity data as its boundary value. A geoid model computed using gravity data is called a gravimetric geoid. On the other hand, geoid height at bench marks can also be computed using data from spirit leveling and the Global Positioning System (GPS). A geoid model that is fixed to the GPS/leveling data is called a hybrid geoid. Both geoid models can serve as the zero-height-surface of a country's height system by selection. To satisfy this need, National Geodetic Survey has published a series of geoid models (https://geodesy.noaa.gov/GEOID).  

The vast majority of navigation and positioning applications utilize a hybrid geoid model with the latest model being GEOID18 for CONUS and Puerto Rico/U.S. Virgin Islands and GEOID12B for all other states and territories of the United States.  The corresponding gravimetric geoid for these regions is xGEOID19B and USGG2012, respectively.  All models are provided at 1 arc-minute resolution.

Tags: alaska, american samoa, caribbean, commonwealth of the northern mariana islands, deflec12a, deflec12b, deflec18, doc/noaa/nos/ngs, egm2008, elevation, geodesy, geodetic control theme, geodetic/global positioning, geoid03, geoid12a, geoid12b, geoid18, gravity fields, guam, hawaii, interior and crust, land, mexico, national geodetic survey, national geospatial data asset, national ocean service, ngda, ngdaid50, ngs metadata library, noaa, puerto rico, terrain elevation, topographic data, u.s. department of commerce, united states, usgg2012, virgin islands
Organization: National Oceanic and Atmospheric Administration, Department of Commerce
Synthesize Data for Emerging Data Cleaning and Fusion Tool 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 includes timestamped speed measurements associated with each TMC segment.

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 SegmentId 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 links vendor-specific segment identifiers (SegmentId in trip path data) 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 Node

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 nodes 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