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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 was a two phase project designed to investigate the decision-making process of the coroner/medical examiner (CME) offices who are charged with investigating suspicious elder deaths and to pilot an intervention that augmented the decision-making process in three CME offices. In phase one, researchers collected case data from CME offices, public data on elder deaths, and interviews with CME investigators. Researchers then developed a brief screening tool, Elder Suspicious Death Field Screen (ESDFS), to be used by CME employees fielding reports of elder deaths. In phase two, the ESDFS was implemented in three counties for a six-month data collection period. An expert panel reviewed a subsample of cases to assess whether CME investigators made appropriate decisions to investigate or not.

The Epidemiologic Catchment Area (ECA) program of research was initiated in response to the 1977 report of the President's Commission on Mental Health. The purpose was to collect data on the prevalence and incidence of mental disorders and on the use of and need for services by the mentally ill. Independent research teams at five universities (Yale University, Johns Hopkins University, Washington University, Duke University, and University of California at Los Angeles), in collaboration with the National Institute for Mental Health, conducted the studies with a core of common questions and sample characteristics. The sites were areas that had previously been designated as Community Mental Health Center catchment areas: New Haven, Connecticut, Baltimore, Maryland, St. Louis, Missouri, Durham, North Carolina, and Los Angeles, California. Each site sampled over 3,000 community residents and 500 residents of institutions, yielding 20,861 respondents overall. The longitudinal ECA design incorporated two waves of personal interviews administered one year apart and a brief telephone interview in between (for the household sample). The diagnostic interview used in the ECA was the NIMH Diagnostic Interview Schedule (DIS), Version III (with the exception of the Yale Wave I survey, which used Version II). Diagnoses were categorized according to the DIAGNOSTIC AND STATISTICAL MANUAL OF MENTAL DISORDERS, 3rd Edition (DSM-III). Diagnoses derived from the DIS include manic episode, dysthymia, bipolar disorder, single episode major depression, recurrent major depression, atypical bipolar disorder, alcohol abuse or dependence, drug abuse or dependence, schizophrenia, schizophreniform, obsessive compulsive disorder, phobia, somatization, panic, antisocial personality, and anorexia nervosa. The DIS uses the Mini-Mental State Examination (MMSE), which measures cognitive functioning, as an indirect measure of the DSM-III Organic Mental Disorders. In the ECA survey, this diagnosis is called cognitive impairment.

This collection features data from 17,327 participants across 2,005 variables. Data from the Los Angeles, California, Catchment (UCLA) are not included. Baseline data (Wave 1) and Wave 2 data were linked to the National Death Index through 2007, which includes primary and contributing causes of death, International Classification of Disease (ICD) codes, and nature of injury variables.

The data in the Historical Demographic Data of Southeastern Europe series derive primarily from the ethnographic and archival research of Joel M. Halpern, Professor Emeritus of Anthropology at the University of Massachusetts at Amherst, in southeastern Europe from 1953 to 2006. The series is comprised of historical demographic data from several towns and villages in the countries of Bosnia, Croatia, Macedonia, Montenegro, Serbia, and Slovenia, all of which are former constituent republics of the Socialist Federal Republic of Yugoslavia. The data provide insight into the shift from agricultural to industrial production, as well as the more general processes of urbanization occurring in the last days of the Yugoslav state. With an expansive timeframe ranging from 1818 to 2006, the series also contains a wide cross-section of demographic data types. These include, but are not limited to, population censuses, tax records, agricultural and landholding data, birth records, death records, marriage and engagement records, and migration information.

This component of the series focuses exclusively on the Serbian village of Orasac and is composed of 64 datasets. These data record a variety of demographic and economic information between the years of 1824 and 1975. General population information at the individual level is available in official census records from 1863, 1884, 1948, 1953, and 1961, and from population register records for the years of 1928, 1966, and 1975. Census data at the household level is also available for the years of 1863, 1928, 1948, 1953, and 1961. These data are followed by detailed records of engagement and marriage. Many of these data were obtained through the courtesy of village and county officials. Priest book records from 1851 through 1966, as well as death records from 1863 to 1976 and tombstone records from 1975, are also available. Information regarding migrants and emigrants was obtained from the village council for the years of 1946 through 1975. Lastly, the data provide economic and financial information, including records of individual landholdings (for the years of 1863, 1952, 1966, and 1975), records of government taxation at the individual or household level (for 1813 through 1840, as well as for 1952), and livestock censuses (at both the individual and household level for the years of 1824 and 1825, and only at the individual level for the years of 1833 and 1834).

In 1995-1996, the MacArthur Midlife Research Network carried out a national survey of over 7,000 Americans aged 25 to 74 (ICPSR 2760). The purpose of the study was to investigate the role of behavioral, psychological, and social factors in understanding age-related differences in physical and mental health.

With support from the National Institute on Aging, an initial follow-up of the original Midlife Development in the United States (MIDUS) samples was conducted in 2004 (MIDUS 2). The daily stress and cognitive functioning projects were repeated at MIDUS 2; in addition the protocol was expanded to include biomarkers and neuroscience. In 2005, a baseline sample of 592 African Americans from Milwaukee was added to MIDUS to examine health issues in minority populations.

In 2013, a third wave (MIDUS 3) of survey data was collected on longitudinal participants. Data collection for this follow-up wave 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). A third wave of cognitive functioning data and a second wave of the Milwaukee sample were also collected. Data collection for the daily diary, biomarkers, and neuroscience is ongoing. This dataset includes all known MIDUS decedents (N=2,533) from the Core National and Milwaukee samples as of December 2023.

In 2011-2014, the MIDUS recruited a national probability sample of 3,577 adults, aged 25 to 74, designed to replenish the original MIDUS 1 (M1) baseline cohort and paralleling the five decadal age groups of the M1 baseline survey (ICPSR 2760).

The MIDUS Refresher (MR1) survey included the same comprehensive assessments as those assembled on the original MIDUS Core sample (obtained via interview and self-administered questionnaire), but with additional questions about the effect of the economic recession of 2008-09.

In 2012-2013, the National MIDUS Refresher sample was augmented with a sample of 508 Milwaukee African American adults, aged 25 to 64. This sample was designed to increase the number of racial minorities included in the MIDUS study. The MIDUS Milwaukee Refresher survey also included the same assessments as those in the Milwaukee Core sample (ICPSR 22840) and employed a personal interview. This dataset includes all known decedents from the National (ICPSR 36532) and Milwaukee (ICPSR 36722) Refresher samples, and is current for NDI records through December, 2023.

Since 1976, Monitoring the Future (MTF) has enrolled ~2,450 individuals each year from its nationally representative annual sample of 12th graders into the MTF Longitudinal Panel study. A primary goal of the MTF study is to examine potential consequences of substance use across the life course, including mortality. Therefore, the MTF Longitudinal Panel study now includes measures of mortality linked to the National Death Index (NDI).

The MTF Longitudinal Panel Study Mortality Data 1976-2021 file includes MTF Longitudinal Panel members from the high school cohorts of 1976-2021 whose mortality status was confirmed through either (a) the MTF NDI match process (limited to high school cohorts 1976-2019) or (b) the MTF panel tracking process (including 1976-2021 cohorts, tracking through August 2025).

The Mortality in Correctional Institutions (MCI) collection was collected annually by the Bureau of Justice Statistics (BJS) from 2000 to 2019 from the approximately 2,800 local adult jail jurisdictions nationwide, and from 2001 to 2019 from the 50 state departments of corrections. The MCI obtained national, state, and incident-level data on persons who died while in the physical custody of state prisons and local jails. The MCI began in 2000 under the Death in Custody Reporting Act of 2000 (P.L. 106-297), and continued after the law was reauthorized in 2014. BJS used MCI data to track national trends in the number and causes (or manners) of deaths occurring in state prison or local jail custody. The MCI collected data about the characteristics of the decedents as well as circumstances surrounding the death, including the cause, time and location where the death occurred, and information on whether an autopsy was conducted and the availability of results to the respondent. This data collection is comprised of two datasets (one prison, one jail) that contain all deaths from 2000-2019 with the illness (also known as natural) deaths assigned ICD-10 diagnosis codes when possible. Data on executions and deaths of persons in the custody of federal, state, and local law enforcement agencies not acting in a jail capacity were considered out-of-scope for MCI. More details on the collection, survey instruments, and publications using the MCI data can be found at the BJS website: Mortality in Correctional Institutions (MCI) (Formerly Deaths in Custody Reporting Program (DCRP)) | Bureau of Justice Statistics.