Contributors: Kim, Youngseek
... This study explores the factors that influence the data reuse behaviors of scientists and identifies the generalized patterns that occur in data reuse across various disciplines. An online survey was distributed to the scientists through Qualtrics. The initial email invitation to the survey was sent to 15,703 scientists within academic institutions on October 5, 2015, with a reminder sent on November 10, 2015. The survey closed on November 30, 2015. 1,987 email messages (12.65%) were returned and a total of 13,716 participants (87.35%) received the email invitation to participate in the survey. This research used the National Science Foundation (NSF) STEM discipline codes (2014) for the respondents to indicate their specific academic disciplines based on their current research activities. Of these participants, 1,528 scientists from 94 specific disciplines (as categorized by NSF STEM discipline codes (2014)), completed the survey with less than 5% of missing values.
Contributors: Asdrubali, Pierfederico, Sorensen 1958-, Bent, Yosha, Oved
... This study developed a framework for quantifying the amount of risk sharing among states in the United States, and constructed data that allowed researchers to decompose the cross-sectional variance in gross state product into levels of smoothing capital markets, federal government, and credit market smoothing. The collection contains 67 Excel data files, that were grouped into 17 datasets based on the organizational ordering schematic provided by the principal investigator, including: Dataset 1 - State Personal Income: n=1,938, 51 variables Dataset 2 - Federal Taxes and Contributions: n=17,948, 424 variables Dataset 3 - State Population: n=1,887, 51 variables Dataset 4 - State and Local Personal Taxes: n=11,526, 306 variables Dataset 5 - Interests on State and Local Funds: n=7,609, 205 variables Dataset 6 - Transfers: n=5,814, 153 variables Dataset 7 - Non Federal State Income: n=1,887, 51 variables Dataset 8 - Federal Grants: n=1,938, 51 variables Dataset 9 - Federal Transfers to Individuals: n=27,415, 766 variables Dataset 10 - Federal Personal Taxes: n=1,938, 51 variables Dataset 11 - State Government Expenditure: n=1,887, 51 variables Dataset 12 - Disposable State Income: n=1,836, 51 variables Dataset 13 - State Consumption: n=5,508, 153 variables Dataset 14 - State and Local Transfers: n=1,836, 51 variables Dataset 15 - Gross State Product: n=1,910, 52 variables Dataset 16 - Retail Sales: n=3,774, 102 variables Dataset 17 - Personal Consumption Expenditures: n=38, 2 variables
Contributors: Eriksson, Katherine, Niemesh, Gregory Thomas, Thomasson, Melissa A.
... This project provides the revised birth estimates, infant mortality rates, and maternal mortality rates at the state- and national-level and by race.
Contributors: Truelove, Heather B., Hornberger, George M., Carrico, Amanda R.
... 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.
Contributors: Ryff, Carol D., Davidson, Richard J.
... These data are being released in BETA version to facilitate early access to the study for research purposes. This collection has not been fully processed by NACDA or ICPSR at this time; the original materials provided by the principal investigator were minimally processed and converted to other file types for ease of use. As the study is further processed and given enhanced features by ICPSR, users will be able to access the updated versions of the study. Please report any data errors or problems to user support and we will work with you to resolve any data related issues. The MIDUS Refresher Neuroscience Project studied 138 participants from the Refresher sample. These respondents included two distinct subsamples, all of whom completed both the Survey Project and the Biomarker Project's assessment at the University of Wisconsin-Madison: the Main Refresher (n = 93) and Milwaukee Refresher (n = 45) samples. The purpose of the Neuroscience Project is to examine the central circuitry associated with individual differences in affective style that represent a continuum from vulnerability to resilience, and to characterize the peripheral consequences of these central profiles for biological systems that may be relevant to health.
Contributors: Ryff, Carol D., Lachman, Margie E.
... These data are being released in BETA version to facilitate early access to the study for research purposes. This collection has not been fully processed by NACDA or ICPSR at this time; the original materials provided by the principal investigator were minimally processed and converted to other file types for ease of use. As the study is further processed and given enhanced features by ICPSR, users will be able to access the updated versions of the study. Please report any data errors or problems to user support and we will work with you to resolve any data related issues. Data in this collection are related to MIDUS 3 [ICPSR 36346]. Data collection for the MIDUS 3 largely repeated baseline assessments (e.g., phone interview and extensive self-administered questionnaire), with additional questions in selected areas (e.g., economic recession experiences, optimism and coping, stressful life events, and caregiving). In 2013-2014, a second wave of cognitive assessments (MIDUS 3) were carried out on individuals who had recently completed the MIDUS 3 phone survey [ICPSR 36436]. This assessment, known as the Brief Test of Adult Cognition via Telephone (BTACT), was carried out approximately 9 years after the first wave of cognitive data collection was completed in 2004-2005. MIDUS 3 BTACT data were collected from 2,693 MIDUS 3 participants. Further, a second wave of cognitive assessments were also carried out on respondents to the MIDUS Milwaukee Wave 2 survey that was conducted in 2016-2017. BTACT data were collected from 329 Milwaukee respondents. This M3 BTACT dataset contains a total of 3,023 respondents. The dataset includes 244 variables and 3,023 cases. Demographic variables in this collection include sex and age.
Contributors: United States Sentencing Commission
... These data, collected to assist in the development of sentencing guidelines, describe offense and sentencing characteristics for organizations sentenced in federal district courts in 2016. The United States Sentencing Commission's primary function is to inform federal courts of sentencing policies and practices that include guidelines prescribing the appropriate form and severity of punishment for offenders convicted of federal crimes. Court-related variables include primary offense type, pecuniary offense loss and gain, dates of disposition and sentencing, method of determination of guilt, number of counts pled and charged, and dates and types of sentencing and restitution. Defendant organization variables include ownership structure, number of owners and employees, highest level of corporate knowledge of the criminal offense, highest level of corporate indictment and conviction for participation in the criminal offense, annual revenue, equity and financial status, whether it was a criminal organization, duration of criminal activity, and risk to national security. Organizational defendants data, 2016, covers fiscal year October 1, 2015, through September 30, 2016.
Contributors: Ryff, Carol D., Almeida, David
... These data are being released in BETA version to facilitate early access to the study for research purposes. This collection has not been fully processed by NACDA or ICPSR at this time; the original materials provided by the principal investigator were minimally processed and converted to other file types for ease of use. As the study is further processed and given enhanced features by ICPSR, users will be able to access the updated versions of the study. Please report any data errors or problems to user support and we will work with you to resolve any data related issues. The MIDUS Refresher Daily Diary Project (aka National Study of Daily Experiences or NSDE) contains data from 782 respondents. The purpose of the Daily Stress Project was to examine how sociodemographic factors, health status, personality characteristics, and genetic endowment modify patterns of change in exposure to day-to-day life stressors as well as physical and emotional reactivity to these stressors. The primary aims were: To describe how the links between multiple aspects of daily stressors (e.g., frequency, content, severity) and daily physical and emotional well-being change over ten years during adulthood; To examine how sociodemographic factors and personality characteristics influence change in both exposure to as well as changes in physical and emotional reactivity to daily stressors; To investigate how exposure and reactivity to daily stressors correlate with physiological indicators of physical health and predict changes in global health reports; and To explore the relative genetic and environmental influences mediating change in exposure and physical and emotional reactivity to daily stressors throughout adulthood. The Daily Diary study is comprised of a subsample of the MIDUS (Midlife in the United States) Refresher, a national survey of nearly 3,600 Americans (aged 25 to 75) conducted during 2011-2014. The MIDUS Refresher survey was designed to replenish the original MIDUS 1 baseline cohort and allow the examination of period effects on health (mental and physical) related to the economic recession by comparing the pre-recession MIDUS 1 sample with the post-recession MIDUS Refresher sample. Guiding hypotheses, at the most general level, were that behavioral and psychosocial factors are consequential for health (physical and mental). Demographic variables in this collection include sex and age.
Contributors: United States. Federal Bureau of Investigation
... In response to a growing concern about hate crimes, the United States Congress enacted the Hate Crime Statistics Act of 1990. The Act requires the attorney general to establish guidelines and collect, as part of the Uniform Crime Reporting (UCR) Program, data "about crimes that manifest evidence of prejudice based on race, religion, sexual orientation, or ethnicity, including where appropriate the crimes of murder and non-negligent manslaughter, forcible rape, aggravated assault, simple assault, intimidation, arson, and destruction, damage or vandalism of property." Hate crime data collection was required by the Act to begin in calendar year 1990 and to continue for four successive years. In September 1994, the Violent Crime Control and Law Enforcement Act amended the Hate Crime Statistics Act to add disabilities, both physical and mental, as factors that could be considered a basis for hate crimes. Although the Act originally mandated data collection for five years, the Church Arson Prevention Act of 1996 amended the collection duration "for each calendar year," making hate crime statistics a permanent addition to the UCR program. As with the other UCR data, law enforcement agencies contribute reports either directly or through their state reporting programs. Information contained in the data includes number of victims and offenders involved in each hate crime incident, type of victims, bias motivation, offense type, and location type.
Contributors: Girasek, Deborah C.
... This study was designed to examine the individual and situational factors that are likely to be related to airline passengers' use of alcohol. Specifically, the study sought to identify individual characteristics (e.g., gender, age, reason for travel) that are associated with the amount of alcohol that airline passengers consume in-flight, identify situational characteristics (e.g., duration of flight, time of day, day of week) that are associated with the amount of alcohol that airline passengers consume in-flight, and to quantify the proportion of airline passengers for whom high levels of alcohol consumption may pose a risk to others (i.e., those with a history of alcohol-related aggression, those sitting in an emergency exit row, and those who plan to drive after deplaning). Respondents were asked details about their flight on the day of the survey, occurrence of air travel as well as information on their drinking and cigarette habits. Demographic variables include respondents' race, age, gender, education level, and household income.