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The 2002 Champaign-Urbana-Savoy Travel Survey is a comprehensive study of the demographic and average weekday, local and regional personal travel made by residents of the Champaign-Urbana-Savoy urbanized area. This survey entailed the collection of activity and travel information for all household members. The survey relied on the willingness of regional households to (1) provide demographic information about the household, its members and its vehicles and (2) have all household members record all travel and activity for the travel period, including address information for all locations visited, trip purpose, mode, and travel times. Demographic information includes household size, household income, employment status, and student status.

Over half of public school buildings across the country fail to provide adequate conditions for students to learn and school staff to work. Prior research has established an evidence base of associations between high-quality school building facilities and student, staff, school, and community health and education outcomes. Recognizing this research and the need for facility improvements, Maryland has approved the 21st Century School Buildings Program, which is paid for by Baltimore City Public Schools (City Schools), the State of Maryland, and the City of Baltimore. The program will invest close to $1 billion to renovate or replace over two dozen school buildings. City Schools, with support from the Fund for Educational Excellence, selected the RAND Corporation to study the impact of new school buildings on student, staff, school, and community outcomes. The goal of this first phase was to collect data prior to the start of the Baltimore 21st Century Building Program and conduct initial exploratory analyses of data from treatment schools (i.e., schools slated for renovation or rebuilding) and comparison schools (i.e., schools with similar student and school characteristics but not slated for renovation or rebuilding). The data compiled here are audits of the street segments immediately surrounding those target schools. These observations from Spring 2016 were collected in an effort to document the conditions and features of the neighborhoods prior to school building renovations. This data collection describes baseline neighborhood characteristics prior to the 21st Century Buildings School Program. For more information about the Baltimore City Schools and the 21st Century School Building Program, please visit the 21st Century Schools website.

This special topic poll, conducted April 5-10, 2007, is part of a continuing series of monthly polls that solicit public opinion on the presidency and on a range of other political and social issues. The focus of this poll was environmental issues. Respondents were asked to rate the condition of the natural environment and to give their opinions about the biggest environmental problem the world faces today. Questions about weather patterns focused on whether the respondent thought the average temperature in the United States and in the world had increased over time, and whether they believed the earth's temperature had been increasing over the past 100 years. Respondent's opinions about global warming were collected and included information on how important global warming was to the respondent, how serious it was to them, how much could be done to reduce future global warming, how much could be done to reduce the effect of global warming on people and on the environment, and whether the federal government should do more to try to deal with global warming. Respondents of this poll were also asked a series of questions about national parks such as whether the respondent had ever visited a national park in the United States, whether the country's national parks were better compared to five years ago, whether they are well managed, and what respondents thought should have priority at national parks. Other questions asked whether respondents favored or opposed tax increases on electricity and gas, building cars that use less gas, building appliances that use less electricity, building homes and offices that use less energy for heating and cooling, and lowering the amount of greenhouse gases allowed into the air. Respondents were also asked who they trusted to do a better job, President Bush or the Congress, handling the overall environment, global warming, and the national parks. Demographic information includes respondent sex, age, race, income, marital status, religious preference, education level, type of residential area (e.g., urban or rural), political philosophy, political party affiliation, whether the respondent owed or rented their home, and whether there was any children under the age of 18 living at the respondent's home.

The Bangladesh Environment and Migration Survey (BEMS) collects detailed retrospective information about migration trips in southwest Bangladesh, including the first, last, and second-to-last to internal destinations, India, and other international destinations. BEMS collects information about the year, origin, destination, and duration of all trips. Furthermore, BEMS includes information on migration and livelihood histories, socioeconomic conditions, agricultural resources and practices, disasters and perceptions about environment, and self-reported health. Dataset 1 is a household-level file with information about household composition, economic and migratory activity of household members, land ownership/usage, business ownership, household environmental perceptions, environmental conditions, agricultural activities, and physical and psychological health/well-being of household members. Dataset 2 is an individual-level file containing details of internal and international migration trips, as well as measures of economic and social activity during those trips. It also contains information provided by household heads, spouses, and other migrants in the household. Dataset 3 is an individual-level data file that provides general demographic information and brief migration history for each member of a surveyed household. It also includes health information for the head of household and spouse.

This interdisciplinary study investigates critical elements of the coupled natural-human system that connects urban energy demands, rural livelihoods, and Miombo ecosystem health in rapidly urbanizing areas of southern Africa. This dynamic and complex system is expected to experience rapid changes in the coming years as a result of urbanization, particularly in mid-size cities like this case study in Tete, Mozambique. This study looked at local-level decision-making regarding charcoal production and use.

This data set consists of a GIS shapefile mosaic of the original survey plats for land grants from the king of England and the state of South Carolina for the years 1749-1851 for the Enoree District of the Sumter National Forest.

This survey was conducted as part of the "Community Engagement in Southeast Texas: Pilot Project to Enhance Community Capacity and Flood Resilience" pilot project conducted by staff at the Gulf Research Program (GRP) at the National Academies of Sciences, Engineering, and Medicine (NASEM). Building on the lessons learned through previous community engagement efforts in Southeast Texas around flood risks, this project engaged communities in Northeast Houston to explore 1) how compounding events--specifically, flooding, the Coronavirus Disease 2019 (COVID-19) pandemic, and Winter Storm Uri (2021)--increased vulnerability and risk to communities, 2) how to effectively communicate these risks to community members, and 3) how to better prepare for and mitigate these risks. In partnership with West Street Recovery (WSR), Texas A&M University at Galveston (TAMUG), and Research 4 Progress, the Gulf Research Program (GRP) and Resilient America Program (RAP) at the National Academies of Sciences, Engineering, and Medicine (the National Academies) designed a household survey to investigate the flood-related experiences of residents from Northeast Houston using quantitative methods and probabilistic sampling. The survey, administered in December 2021-March 2022, also asked about residents' experiences with the COVID-19 pandemic and Winter Storm Uri to capture information about the compounding impacts of the pandemic and winter storm on existing flood disaster preparedness, response, and recovery. Consultants from Research 4 Progress programmed the survey tool using Qualtrics XM, performed the survey deployment and conducted preliminary descriptive statistical analyses (e.g., descriptive statistics, cross-tabulations) of the survey data. The principal investigators then conducted an advanced statistical and geospatial analysis of the survey data. Analyses include: descriptive statistics; geocoding response using ArcGIS Pro; comparing "real" risk to perceived flood risk using a Flood Risk score created using inverse distance weighting and empirical Bayesian kriging; determining flood risk perception influence on protective action with classical and spatial regression models; and identifying risk communication preferences and types of services sought after varying types of disasters (i.e., flooding, the COVID-19 pandemic, and Winter Storm Uri) with Wilcoxon tests and contingency tables.

The potential impacts of the COVID-19 pandemic in Ethiopia are expected to be severe on Ethiopian households' welfare. To monitor these impacts on households, the team selected a subsample of households that had been interviewed for the Living Standards Measurement Study (LSMS) in 2019, covering urban and rural areas in all regions of Ethiopia. The 15-minute questionnaire covers a series of topics, such as knowledge of COVID and mitigation measures, access to routine healthcare as public health systems are increasingly under stress, access to educational activities during school closures, employment dynamics, household income and livelihood, income loss and coping strategies, and external assistance. The survey is implemented using Computer Assisted Telephone Interviewing, using a modular approach, which allows for modules to be dropped and/or added in different waves of the survey. Survey data collection started at the end of April 2020 and households are called back every three to four weeks for a total of seven survey rounds to track the impact of the pandemic as it unfolds and inform government action. This provides data to the government and development partners in near real-time, supporting an evidence-based response to the crisis. The sample of households was drawn from the sample of households interviewed in the 2018/2019 round of the Ethiopia Socioeconomic Survey (ESS). The extensive information collected in the ESS, less than one year prior to the pandemic, provides a rich set of background information on the COVID-19 High Frequency Phone Survey of households which can be leveraged to assess the differential impacts of the pandemic in the country.

This collection includes estimates of the number of in-state resident recreational anglers from the states of Illinois, Indiana, Michigan, Minnesota, and Wisconsin. It also includes estimates of the smaller subset of anglers who fished the Upper Great Lakes (Lake Superior, Lake Michigan, or Lake Huron) or their tributaries for salmon/trout by state of residence and separately by lake fished. All estimates were broken down by year, single year of age, and sex.

The Army Map Service was a cartographic agency that focused on the compilation, publication, and distribution of military topographic maps. This collection contains georeferenced historical maps of India and Pakistan collected from 1955-1963 from the U502 series. The maps are provided as TIFF files that include spatial references that can be read by GIS software. These maps are organized by segments which are then divided into square tiles. The corners of each of these tiles contain an anchor point with corresponding coordinates alongside additional anchor points like a: coastal region, legend, glossary, scale, and a location diagram.

This collection contains GIS materials which cover the spread of different modes of transportation in the lower 48 states from America's founding through (approximately) 1911. There are three transportation modes included in this collection: canals, steamboat-navigated (as opposed to simply navigable) rivers, and railroads. The GIS materials can be downloaded by accessing the "Other" link.

The Historical Urban Ecological (HUE) data project was created for exploring and analyzing the urban health environments of seven major United States cities - Baltimore, Boston, Brooklyn, Chicago, Cincinnati, Manhattan, and Philidelphia - from 1830 through 1930. The data for each city includes ward boundary changes, street networks, and ward-level data on disease, mortality, crime, and other variables reported by municipal departments. The HUE data set was produced for the "Early Indicators of Later Work Levels, Disease and Death" project, funded by the National Institute of Aging. This collection represents the GIS data for each of the seven American cities, and in addition to ward boundary changes and street networks, includes in-street sewer and water sanitation systems coverage. All cities except Cincinnati include sanitation infrastructure data, and for Baltimore only water infrastructure is available. The city of Chicago includes supplemental GIS layers which reflect a reconstruction of two of Homer Hoyt's maps of average land value (1933 dollars) in the City of Chicago for 1873 and 1892. The square mile areas defined by Hoyt using Chicago's system of mile streets have been fit to the HUE street centerlines for Chicago. The Excel data tables include information about deaths in each ward broken down by cause of death, age, race, gender, as well as information about live births and deliveries.

These data were provided by The Joy Kitchen in response to research presented in the article, The Joy of Cooking Too Much: 70 Years of Calorie Increases in Classic Recipes (2009), Wansink, Brian and Collin R. Payne (2009). The data in this study are derived from recipes published in the "Joy of Cooking" cookbooks from 1936, 1997, and 2006.

The Loma Prieta Earthquake Study examined the five-county San Francisco Bay area affected by the earthquake on October 17, 1989. Residents were asked about their experiences during, and responses to, the Loma Prieta Earthquake, measuring 6.9 on the Richter magitude scale. Telephone interviews were conducted with approximately 700 adult residents of Alameda, Santa Clara, Santa Cruz, San Mateo, and San Francisco Counties. Information was collected on topics such as evacuation, personal property damage, disaster/emergency planning and preparedness, and emotional distress as a result of the earthquake experience. Demographic variables include gender, age, income, ethnicity, religious preference, home ownership status, education level, marital status, employment status and industry, and area of the five counties where the respondent resided.

The Maricopa Regional Household Travel Survey, 2002, conducted by NuStats, in collaboration with the Maricopa Association of Governments (MAG), was initiated to assess the travel patterns of households in the metropolitan region of Phoenix, Arizona. This collection contains data for 4,018 households in Maricopa County, and a small portion of Pinal County. Household recruitment for the study was conducted through the use of a "recruitment interview", in which respondents were informed of the survey, its purpose, and the obligation of all household members to complete the survey. Information regarding the household and its members was also collected during the recruitment interview. Participating households were assigned a specific "travel period" or 48-hour period on which to record their travel and activities, including mode of transportation, trip purpose, number of vehicle passengers, departure and arrival times, ride fare, and parking costs. Demographic information for this study includes age, gender, ethnicity, language, disability, education level, occupation, and household income.

In 2015, Miami-Dade County Public Schools (M-DCPS) received a three-year Comprehensive School Safety Initiative grant from the National Institute of Justice to implement, pilot test, and experimentally evaluate the effects of an innovative fusion center, Campus Shield, for proactively identifying and addressing school safety threats and issues. Three additional resources were also proposed to supplement and enhance the Campus Shield fusion center: visitor management systems (information on entries and exits from the school building to be recorded and fed into Campus Shield), surveillance cameras (which would also feed into Campus Shield), and the linkage of Campus Shield to "Mental Health Specialists" to provide direct services and act as a liaison between school-based student services professionals and community-based providers.

These data are publicly available as part of Michigan's Open Data Portal and are updated regularly by the state. This collection is provided by the Michigan Department of Natural Resources (DNR) and features an inventory of 36 fish species found in Michigan lakes, rivers, ponds, and streams. Detailed descriptions for each species include common and Latin species name, identifying physical characteristics, habitat, migration, spawning habits, growth, and life span. Fishing tips for a number of species are also provided, including recommended bait and fishing locations, as well as references to official DNR fishing materials Michigan Fish and How to Catch Them and Better Fishing Waters.

This study contains two data files. Data file one ( Broadband Internet Availability, Speed, and Adoption by Census Tract ) contains measures of broadband internet availability, speed, and adoption per United States census tract in 2014 through 2020. The data is derived from internet service providers' Form 477 reports to the Federal Communications Commission. Data file two ( Broadband Internet Availability and Speed by ZIP Code Tabulation Area ) contains measures of broadband internet access and usage per United States ZIP code tabulation area (ZCTA) in 2014 through 2020. The data is derived primarily from internet service providers' Form 477 reports to the Federal Communications Commission.

This dataset contains county-level totals for the years 2002-2014 for eight types of crime: murder, rape, robbery, aggravated assault, burglary, larceny, motor vehicle theft, and arson. These crimes are classed as Part I criminal offenses by the United States Federal Bureau of Investigations (FBI) in their Uniform Crime Reporting (UCR) program. Each record in the dataset represents the total of each type of criminal offense reported in (or, in the case of missing data, attributed to) the county in a given year.

During the COVID-19 pandemic, certain occupations and industries were deemed "essential", and typically included individuals who worked in healthcare, food service, public transportation, etc. However, early on in the pandemic, while these workers faced disproportionately higher risks, they often did not receive adequate personal protective equipment (PPE), were unable to work from home, and were limited in their ability to take other precautions to safeguard their health (Chen et al., 2021). As a result, previous studies have documented higher rates of infection, hospitalization, and death among essential workers compared to their non-essential worker counterparts (Selden & Berdahl, 2021; Wei et al., 2022). This dataset provides users with information on the number and proportion of essential workers in census tracts or ZIP Code tabulation areas (ZCTAs) in the United States over the 2016-2020 period.

The Home Mortgage Disclosure Act (HMDA) database (Consumer Financial Protection Bureau, 2022) has compiled mortgage lending data since 1981, but the collection and dissemination methods have changed over time (Federal Financial Institutions Examination Council, 2018), creating barriers to conducting longitudinal analyses. This HMDA Longitudinal Dataset (HLD) organizes and standardizes information across different eras of HMDA data collection between 1981 and 2021, enabling such analysis. This collection contains two types of datasets: 1) HMDA aggregated data by census tract for each decade and 2) HMDA aggregated data by census tract for individual years. Items for analysis include borrower income values, mortgages by loan type (e.g., conventional, Federal Housing Administration (FHA), Veterans Affairs (VA), refinances), and mortgages by borrower race and gender.

This dataset contains measures of the number and density of hospitals per United States Census Tract or ZIP Code Tabulation Area (ZCTA) in 2023. The dataset includes four separate files for four different geographic areas (GIS shapefiles from the United States Census Bureau). The four geographies include: Census Tract 2010 Census Tract 2020 ZIP Code Tabulation Area (ZCTA) 2010 ZIP Code Tabulation Area (ZCTA) 2020

These datasets contain measures of internet access per United States census tract and ZIP code tabulation area (ZCTA) from the 2015-2019 American Community Survey five-year estimate. Key variables include the number and percent of households per tract or ZCTA with any type of internet subscription, with broadband internet, and with a computer or smartphone.

This collection contains measures of land cover (e.g., low-, medium-, or high-density development, forest, wetland, open water) derived from the National Land Cover Database (NLCD) and aggregated by United States census tract and ZIP code tabulation area (ZCTA). For each land type, land cover is measured both in total square meters and as a proportion of all land of that type within the tract or the ZCTA.

This study contains measures of neighborhood-school gap for 2009-2010 and 2015-2016. Neighborhood-school gap (NS gap) refers to the discrepancy between the demographics of a public school and its surrounding community. For example, if 60 percent of a school's student body is Black, but 30 percent of the neighborhood population is Black, the school has a positive Black neighborhood-school gap. These datasets measure gaps in race and poverty between elementary school student populations and the census tracts and ZIP code tabulation areas (ZCTAs) that those elementary schools serve. Data is at the census tract and ZCTA level. Supplemental data containing component variables used to calculate NS gap at the school and block group level is also available.

Prior research has demonstrated that access to parks and greenspace can have a positive impact on many aspects of and contributors to health, including physical activity levels (Kaczynski et al., 2007), healthy aging (Finlay, 2015), and sense of well-being (Larson et al., 2016). Neighborhood parks can also contribute to sense of community (Gómez, 2015). These datasets describe the number and area of parks in each census tract or each ZIP code tabulation area (ZCTA) in the United States. Measures include the total number of parks, park area, and proportion of park area within each census tract or ZCTA.

This dataset contains yearly counts from 1987 to 2021 of polluting sites in each United States census tract and within a 0.5-mile buffer to capture spillover effects and in each United States ZIP code tabulation area. Polluting sites are taken from the US Environmental Protection Agency's (EPA) Toxics Release Inventory. These facilities are typically larger and involved in manufacturing, metal mining, electric power generation, chemical manufacturing, and hazardous waste treatment.

This collection contains measures of primary and secondary roads (highways and main arteries) per United States census tract and per United States ZIP code tabulation area (ZCTA) in 2010 and 2020. These measures may be used as a proxy for heavy traffic, high traffic speeds, and impediments to walking or biking. Variables include: counts of primary, secondary, and all streets per tract and per ZCTA; total length of primary, secondary, and all streets per tract and per ZCTA; ratio of primary and/or secondary road counts to all roads; and ratio of length of primary/secondary roads to all streets.

This study includes the number of public transit stops per United States census tract or ZIP code tabulation area (ZCTA) based on data from the National Transit Map (NTM). Each observation represents the count and density (per capita and square mile) of transit stops within a census tract or ZIP code tabulation area (ZCTA), as voluntarily reported to NTM between 2016-2018 and 2024 by one of 270 regional transit agencies choosing to participate.

This study contains counts of schools per United States census tract, ZIP code tabulation area (ZCTA), and school district from 2000 through 2018. Counts are broken down by type of school (public, charter, magnet, or private) and grade level (elementary, middle, or high). At the school district level, additional data are available on school characteristics such as district-level enrollment by race and ethnicity; numbers of teachers and counselors; teacher-student ratios; and expenditures and revenue, including per-pupil revenue.

These datasets contain measures of socioeconomic and demographic characteristics by US census tract for the years 1990-2020 and ZIP code tabulation area (ZCTA) for the years 2008-2020. Example measures include population density; population distribution by race, ethnicity, age, and income; income inequality by race and ethnicity; and proportion of population living below the poverty level, receiving public assistance, and female-headed or single parent families with kids. The datasets also contain a set of theoretically derived measures capturing neighborhood socioeconomic disadvantage and affluence, as well as a neighborhood index of Hispanic, foreign born, and limited English.

This study contains measures of street connectivity (how well streets connect with one another) within all United States census tracts and United States ZIP code tabulation areas (ZCTAs). This includes measures of the number of street segments (links) and intersections (nodes) per tract/ZCTA, street length within tracts/ZCTA, and indices representing overall connectivity within the tract/ZCTA.

This dataset contains measures of traffic volume per census tract and ZIP code tabulation area (ZCTA) in the United States from 1963 to 2019 (primarily 1997 to 2019). High traffic volume may be used as a proxy for heavy traffic, high traffic speeds, and impediments to walking or biking. The dataset contains measures of the average, maximum, and minimum traffic volume per year or per ZCTA per year. These figures are available for all streets, highways, and non-highways. In the ZCTA dataset, data is collected intermittently across locations over time, therefore traffic volume has been interpolated for years in which no measures are available. Data Source: Traffic volume measurements are derived from Kalibrate's TrafficMetrix database accessed via Esri Demographics. Census tract boundaries come from the 2010 TIGER/Line shapefiles. ZCTA boundaries come from the 2019 TIGER/Line shapefiles.

This dataset contains measures of the urban/rural characteristics of each census tract in the United States. These include proportions of urban and rural population, population density, rural/urban commuting area (RUCA) codes, and RUCA-based four- and seven-category urbanicity scales.

This dataset contains counts of voter registration and voter turnout for all counties in the United States for the years 2004-2022. It also contains measures of each county's Democratic and Republican partisanship, including six-year longitudinal partisan indices for 2006-2022.

These datasets contain measures of weather by county in the United States for the years 2003-2016. Measures include average daily temperature, freezing days, cold days, hot days, rainy days, and snowy days.

The National Survey of Disaster Experiences and Preparedness (NSDEP), 2007-2008 examined public preparedness, mitigation, avoidance actions, intended actions and perceptions of major hazards with an emphasis on the hazards created by terrorism. Telephone interviews were conducted with 3300 United States residents between April 13, 2007 and February 13, 2008. Information was collected on topics such as terrorism, the government, knowledge about terrorism, and disaster/emergency planning and preparedness. Demographic and background variables included marital status, household composition, age, gender, education, country of birth, ethnicity, employment status, and income.

The National Surveys on Energy and Environment (NSEE), is an on-going biannual national opinion survey on energy and climate policy. Launched in 2008, over time the NSEE has covered topics such as public policy approaches to address climate change including federal, state, and international action; energy policies such as cap-and-trade, carbon taxes, renewable energy requirements, vehicle emissions standards, and many more; and knowledge and attitudes about global warming, climate adaptation, fracking, and geoengineering. NSEE was co-founded by professor Barry Rabe at the University of Michigan, and professor Christopher Borick at Muhlenberg College, and is fielded by the Muhlenberg College Institute of Public Opinion. From 2008 to 2012 the survey was called the "National Survey of American Public Opinion on Climate Change" (NSAPOOC); starting in 2013 the survey was renamed to the "National Surveys on Energy and Environment" (NSEE). This dataset includes data from eighteen waves, from Fall 2008 through Fall 2017. Demographic variables include age, years of education completed, income, political affiliation, religious affiliation, gender, and race.

The Nebraska Natural Resource Survey, 2012 data were collected to assess the role that trust plays in driving intention to cooperate with a natural resource management institution, the Nebraska Game and Parks Commission (NGPC). Data were collected from a random sample of Nebraska landowners with more than 20 acres of rural land, in which urban land was excluded by zip code. Survey questions included measures of the respondent's knowledge, experience, and perceptions of the NGPC's practices, policies, and goals. Respondents were also queried on any landowner programs they had participated in through the NGPC and their experiences and recommendations surrounding them. Respondents were asked to address environmental concern issues in the relational context of the NGPC. Finally respondents were asked to rate their own trustworthiness and how they felt about the Keystone XL Pipeline proposal. Demographic information within this collection includes age, sex, race/ethnicity, political affiliation, as well as where they fall on the political spectrum.

The New York, New Jersey, Connecticut Regional Travel - Household Interview Survey (RT-HIS), 1997-1998, was sponsored by the New York Metropolitan Transportation Council (NYMTC) and the North Jersey Transportation Planning Authority (NJTPA). The survey was conducted from February 1997 through May 1998, and relied on the willingness of area residents to complete diary records of their daily travel over a designated 24-hour period. Random recruitment of households was conducted by a telephone recruitment interview in which respondents were informed of the survey, its purpose, and the obligation of respondents to complete travel diaries. Data on households and household members were also collected during the recruitment interview. Participating households were assigned a specific travel day, which typically occurred 10 days after recruitment; each household member was asked to record travel information in a travel diary for the specified 24-hour period. Immediately after the assigned date, households were contacted by telephone to retrieve the diary information. In total, 14,441 households were recruited to participate in the study. Of these, 11,264 households completed travel diaries. Travel information was retrieved from all household members regardless of age, and has been compiled into five public-use data files: The Household file includes demographic information pertaining to the household, such as county of residence, household size, dwelling type, home ownership status, tenure, dominant language, telephone ownership, ethnicity, and income; The Person file contains demographic information pertaining to individual household members, including age, gender, relationship, employment status, student status, disability status, and licensed driver status; The Vehicle file features information about all household vehicles, including the number of vehicles, vehicle year, vehicle type, and whether each vehicle is owned or leased; The Trip file contains all travel day data, including information on places visited, arrival and departure times, activities at each destination, travel mode, parking costs, and detailed transit information; The Location file includes information about each location visited by household members, such as location type, census tracts, and geocoding status data. Additionally, data producers developed Household, Person, and Trip analysis data files ; these files comprise parts 6 through 8, and contain the RT-HIS weight variables.

The 1995 Oahu Metropolitan Planning Organization Model Development Project for Oahu Island was intended to document how Oahu residents use the streets, highways, and transit services in the region. Respondents were asked to record their travel and activities for a 24-hour period. They were also asked for detailed information regarding their trips, including mode of transportation, trip purpose, departure and arrival times, and number of passengers. Demographic variables include gender, age, employment status, household size, and household income.

These data are publicly available as part of Michigan's Open Data Portal and are updated regularly by the state. This dataset contains information on per- and polyfluoroalkyl substances (PFAS) in community water supplies (CWS) across Michigan counties.

This study looked at public opinion surrounding nuclear energy in the lead up to a state-level decision about whether to accept the expansion of the Virgil C. Summer nuclear plant in Jenkinsville, SC. In the survey, respondents were asked about their feelings on nuclear power in South Carolina and the decision-makers who may be involved in the public hearing process, including perceptions of the risks and benefits of nuclear power, effectiveness and fairness of public hearings, and decision-makers' respect for the public, trustworthiness and knowledge about nuclear power. Opinions were collected on energy related issues, such as the safety of nuclear power, climate change, energy independence, energy costs, and expanding a nuclear power plant in the Midlands of South Carolina. Additionally, demographic and other information collected included race, education, age, sex, party identification, and respondents' attention to local news coverage in newspapers and television.

The PSRC Household Activity Survey Analysis Report, 2006 was conducted to provide regional data for the Puget Sound Region travel demand models; the assessment of current activity and travel patterns; the evaluation of attitudes, preferences, and choices with respect to travel; and the estimation of future activity and travel within the region. After an initial telephone screening, survey participants received mailed travel diaries to aid in documenting travel information for the 2-day assessment period. Respondents were instructed to record their mode of transportation, trip purpose, number of passengers, departure and arrival times, ride fare, and parking cost. Demographic information for this study includes age, gender, education, employment status, and household income.

The Seattle Household Travel Survey Wave 3, 1992, is the third wave in a ten-part longitudinal panel survey initiated by the Puget Sound Council of Governments (now known as the Puget Sound Regional Council) to assess the travel patterns of households in the Puget Sound region of Washington State. This collection contains the third set of panel data for approximately 1,700 households in King, Kitsap, Pierce, and Snohomish counties. Due to various sources of attrition, approximately 20 percent of households needed to be replaced for each survey wave. The survey relied on the willingness of study area residents to (1) provide demographic information about the household, its members, and its vehicles, (2) document all travel for each household member, aged 15 years or older, for an assigned 2-day period, and (3) agree to participate in additional survey waves. After an initial telephone screening, survey participants received mailed travel diaries to aid in documenting travel information for the 2-day assessment period. Respondents were instructed to record their mode of transportation, trip purpose, number of vehicle passengers, departure and arrival times, ride fare, and parking costs. Demographic information for this study includes age, gender, education, employment status, and household income.

The Sri Lankan Environmental and Agricultural Decision-making Survey (SEADS) collected quantitative data from paddy farming households in 24 pre-selected villages in the dry zone of Sri Lanka. These data include information about livelihoods, economic activity, household characteristics, cultivation, and experiences with water scarcity and environmental stress. The objective of SEADS was to collect high quality data that could be used to: Understand the impacts of water scarcity on farming households throughout the dry zone, and to assess vulnerability to climate change impacts. Document methods of coping with water scarcity utilized by farmers and communities throughout the dry zone. Estimate the rate of adoption of agricultural adaptations promoted by governmental and non-governmental organizations and community leaders (e.g., parachute method, low flood depth irrigation, short duration seed varieties.) Understand what programs or policies may help support farmers to cope with water scarcity in the future. Demographic variables collected include age, gender, religion, ethnicity, district of origin, education level, and occupation.

The data were downloaded from the State of Michigan Taking Action on Flint Water website. This website contains testing results for blood levels, sentinel sites, residential sites, schools, establishment sites, and Confirming Lead Elimination After Replacement (CLEAR) sites. For this study, the sentinel testing, school testing, and establishment testing results were used.

The St. Louis Household Travel Survey, 2002, entailed the collection of weekday travel behavior characteristics of households residing in each of the eight counties that comprise the St. Louis region. In addition to collecting basic demographic and socioeconomic information about each household and its members, the survey documented specific characteristics of activities and trips made, including number and purpose of trips, trip duration, time of day, mode of transportation, and specifics of school and work-related travel. The survey instruments contained three components: (1) the recruitment questionnaire, (2) the travel log, and (3) the retrieval questionnaire. In total, 7,046 households were recruited to participate in the study via telephone interview. Of these 5,094 completed travel logs during a specific 24-hour period, and the information was retrieved from all household members, regardless of age. Demographic information for this study includes age, gender, education level, employment status, and household income.

The Whittier Narrows Earthquake Study examined Los Angeles County residents' experiences during, and responses to, the Whittier Narrows Earthquake which occurred on October 1, 1987, and measured 5.9. Telephone interviews were conducted with 690 residents of Los Angeles county between October 1988 and May 1989. Information was collected on topics such as evacuation, personal property damage, disaster/emergency planning and preparedness, and respondents' psychological and emotional distress as a result of the earthquake experience. Demographic variables include gender, age, income, ethnicity, religious preference, home ownership status, education level, marital status, employment status and industry, and area of Los Angeles county where the respondent resided.