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The Eurobarometer series is a unique cross-national and cross-temporal survey program conducted on behalf of the European Commission. These surveys regularly monitor public opinion in the European Union (EU) member countries and consist of standard modules and special topic modules. The standard modules address attitudes towards European unification, institutions and policies, measurements for general socio-political orientations, as well as respondent and household demographics however this collection does not contain standard module questions. The special topic modules address such topics as agriculture, education, natural environment and resources, public health, public safety and crime, and science and technology.

This round of Eurobarometer surveys covers the following special topics: (1) social climate, (2) development aid (3) cyber security (4) public transport (5) Anti-microbial resistance and (6) space technology. In regard to social climate, respondents were asked about their life satisfaction, employment, opinions on healthcare and pension provisions, unemployment benefits, cost of living and asked about past present and future options on the affordability of housing and energy. Lastly thoughts were measured on EU investments and knowledge of the European Social Fund. The development aid section includes questions on the importance of helping developing countries, the Millennium Development Goals, future focus of development policy, and practicality of achieving development goals. Questions in the cyber security section asks about frequency of Internet use, devices used to access the Internet, online activities, confidence in the ability to engage in Internet transactions, online banking concerns, adjustments to Internet use based upon concerns, online harassment and knowledge of cybercrime risks. Queries of public transport/ urban mobility special topic asks about use of car, public transportation, cycling and walking, frequency of travel within cities, problems during travel, opinions on problems in the city, ways to improve city travel, measures to improve travel and responsibility for reducing traffic. Measures taken from the anti-microbial resistance section include use of antibiotics, how antibiotics are obtained, reason for taking antibiotics, knowledge about antibiotics, opinions on group responsibility and knowledge and opinions about use of antibiotics. Lastly, the space technology section asks about the role of space derived technologies, opinions on investing in human space exploration, consequences of climate change, opinions on whether linking space activities to education would encourage students to choose STEM careers, ready to use automated vehicles, opinions on whether space investment will lead to job creation, concerns about asteroids and space-based services, reasons for and against investing in space exploration.

Demographic and other background information collected includes age, gender, nationality, marital status and parental relations, occupation, age when stopped full-time education, household composition, ownership of a fixed or a mobile telephone and other durable goods, difficulties in paying bills, level in society, and Internet use. In addition, country-specific data includes type and size of locality, region of residence, and language of interview (select countries).

These data are part of NACJD's Fast Track Release and are distributed as they were received from the data depositor. The files have been zipped by NACJD for release, but not checked or processed except for the removal of direct identifiers. Users should refer to the accompanying readme file for a brief description of the files available with this collection and consult the investigator(s) if further information is needed.

This study, through a national survey and field studies in both patrols and investigations, examined the crime control and cost-effectiveness of the use of license plate readers (LPRs) within police agencies in the United States.

The collection contains 1 SPSS data file (Data-file-for-2013-IJ-CX-0017.sav (n=329; 94 variables)).

A demographic variable includes an agency's number of authorized full time personnel.

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.

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:

1. 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;
2. 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;
3. 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;
4. 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;
5. 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.