Data Catalog

The Maternal Lifestyle Study (MLS) was the largest of the NIH longitudinal studies of children with prenatal cocaine exposure (PCE). MLS was a longitudinal multi-site observational study of the long-term effects of in-utero exposure to cocaine on child development. MLS was conducted at four geographically diverse, collaborating university centers (Wayne State University, University of Tennessee at Memphis, University of Miami, and Brown University). Participants were identified during the newborn period while in the hospital. The MLS began enrollment of a longitudinal birth cohort of 1,388 infant/mother dyads in 1993. Subjects in the follow-up were seen from 1 month of age through 16 years of age. The overall purpose of the study was to investigate the effects of drug use during pregnancy on acute neonatal events and long-term physical health, social, behavioral and neurodevelopmental outcomes.

The National Health Interview Survey (NHIS) has monitored the health of the nation since 1957. NHIS data on a broad range of health topics are collected through personal household interviews. For over 50 years, the U.S. Census Bureau has been the data collection agent for the National Health Interview Survey. Survey results have been instrumental in providing data to track health status, health care access, and progress toward achieving national health objectives.

The National Survey on Drug Use and Health provides up-to-date information on tobacco, alcohol, and drug use, mental health and other health-related issues in the United States. NSDUH began in 1971 and is conducted every year in all 50 states and the District of Columbia. Information from NSDUH is used to support prevention and treatment programs, monitor substance use trends, estimate the need for treatment and inform public health policy.

This open-source database of police use of force policies for the 100 largest U.S. city police departments. These documents, obtained through FOIA requests via MuckRock, will be used for future analyses identifying the ways in which they impact police accountability. On the publisher's website, there are also direct links to the Use of Force policies and the FOIA request submitted to each city police department.

The Pediatric Participant Use Data File (PUF) is a Health Insurance Portability and Accountability Act (HIPAA)-compliant data file containing cases submitted to the American College of Surgeons National Surgical Quality Improvement Program Pediatric® (ACS NSQIP Pediatric®). The PUF contains patient-level, aggregate data and does not identify hospitals, health care providers, or patients. The ACS NSQIP Pediatric collects data on approximately 120 variables, including preoperative risk factors, intraoperative variables, and 30-day postoperative mortality and morbidity outcomes for patients undergoing major surgical procedures in both the inpatient and outpatient setting. The intended purpose of this file is to provide researchers at participating sites with a data resource they can use to investigate and advance the quality of care delivered to the surgical patient through the analysis of cases captured by ACS NSQIP Pediatric. Additional procedure-specific PUFs are available for appendectomy, spinal fusion, and cerebrospinal fluid shunt.

The Youth Risk Behavior Surveillance System (YRBSS) monitors six categories of health-related behaviors that contribute to the leading causes of death and disability among youth and adults, including behaviors that contribute to unintentional injuries and violence; sexual behaviors related to unintended pregnancy and sexually transmitted diseases, including HIV infection; alcohol and other drug use; tobacco use; unhealthy dietary behaviors; and inadequate physical activity. YRBSS also measures the prevalence of obesity and asthma and other health-related behaviors plus sexual identity and sex of sexual contacts. YRBSS includes a national school-based survey conducted by CDC and state, territorial, tribal, and local surveys conducted by state, territorial, and local education and health agencies and tribal governments.

The Environmental Protection Agency (EPA)'s Enforcement and Compliance History Online (ECHO) website can be used to search for facilities in your community to assess their compliance with environmental regulations. You can use ECHO to search for facilities, investigate pollution sources, search for EPA enforcement cases, examine and create enforcement-related maps, and analyze trends in compliance and enforcement data.

The National Survey of American Life (NSAL) is a study designed to explore racial and ethnic differences in mental disorders, psychological distress, and informal and formal service use from within the context of a variety of presumed risk and protective factors in the African-American and Afro-Caribbean populations of the United States as compared with White respondents living in the same communities. The NSAL is part of the Collaborative Psychiatric Epidemiology Surveys (CPES) data collection.

Researchers, students, and others in the Models of Infectious Disease Agent Study (MIDAS) create and use computational models to study transmission dynamics of a broad range of infectious diseases. Many MIDAS members are conducting research on COVID-19 and are contributing to an extraordinary international collection of data and information regarding the outbreak. Through its Online Portal for COVID-19 Modeling Research, MIDAS provides access to COVID-19-related data and parameter estimates as well as a software catalog with a list of dashboards and visualizations for following the COVID-19 pandemic.

The largest all-payer ambulatory surgery database in the United States, the Nationwide Ambulatory Surgery Sample (NASS) produces national estimates of major ambulatory surgery encounters in hospital-owned facilities. The NASS contains clinical and resource-use information that is included in a typical hospital-owned facility record, including patient characteristics, clinical diagnostic and surgical procedure codes, disposition of patients, total charges, expected source of payment, and facility characteristics.