Data Inventory
This chart is an overview of all data streams that the EAS has available for researchers, and the date range that data is available for (note, some streams will not overlap). This chart is a good overview tool for researchers looking to familiarize with what data is available while developing their concept proposal submission. More specific details on what measures and variables each stream contains can be found in the Variables and Measures Dictionary and Narrative Codebook.
- Sensor
- Questionnaire
- Biomarker
- Other
Physical Activity & Sedentary Behavior
This dataset contains data on physical activity and sedentary behavior collected with the activPAL4 micro monitor. The activPAL data provide objective measures of physical activity and sedentary behavior using an accelerometer that distinguishes between sitting, standing, stepping, and other movement states. Data include step counts, cadence, time spent in different activity states, and sit-to-stand transitions, supporting research on mobility, daily activity patterns, and health outcomes.
Air Quality
This dataset contains personal air quality data collected with the Atmotube Pro. The Atmotube is a portable air quality monitor worn by participants to measure personal environmental exposure in real time. It records levels of airborne pollutants (e.g., volatile organic compounds and particulate matter), as well as temperature and humidity. These measurements allow researchers to study how real-world environmental exposures relate to health, cognition, and daily behavior.
Glucose Monitoring
This dataset contains glucose data collected using the Abbott Libre 3 CGM system. The Libre 3 sensor is worn on the back of the upper arm and continuously measures glucose levels in interstitial fluid. Measurements are automatically recorded approximately every 5 minutes and transmitted to a paired mobile device. It provides high-frequency glucose data that enables researchers to examine real-time glycemic patterns and variability in relation to behavior, cognition, and emotional processes in daily life.
Stress and Adversity Inventory (STRAIN)
This dataset captures information about the timing, severity, and types of stressful experiences. The Stress and Adversity Inventory (STRAIN) is a structured questionnaire that assesses exposure to acute and chronic stressors across the lifespan. STRAIN data enable researchers to examine how lifetime stress exposure relates to health, aging, cognitive functioning, and disease risk.
Take Home Packets
This dataset captures self-assessment information about psychosocial factors such as emotional health, perceived discrimination, stress, fatigue, and residential history. Take-home questionnaires are self-administered surveys completed by participants outside of the study visit. These measures provide researchers additional information on participants’ social and psychological environments that may influence health and cognitive outcomes.
Alzheimers Disease and Related Dementias Biomarkers
This dataset includes blood-based biomarkers associated with Alzheimer’s disease and related dementias (ADRD), measured using state-of-the-art assays (e.g., phosphorylated tau [p-tau] and amyloid-beta [Aβ]). These markers reflect pathological processes such as amyloid deposition and tau-related neurodegeneration. Researchers may use these measures to examine relationships between molecular pathology, cognitive performance, environmental exposures, or other health outcomes.
Genetics
This dataset contains single nucleotide polymorphism (SNP) genotyping data that identifies genetic variants across the genome. These variants (e.g., APOE4) can be used to examine genetic risk factors for disease, perform candidate gene or genome-wide analyses, and construct polygenic risk scores related to traits such as cognitive decline, metabolic function, or disease susceptibility.
Inflammation
This dataset contains inflammatory biomarker data. Inflammatory biomarkers measure immune system activity and systemic inflammatory responses. These markers enable researchers to examine relationships between immune activation, environmental exposures, aging processes, and cognitive health.
Oxylipins
This dataset contains oxylipin data. Oxylipins are bioactive lipid mediators derived from polyunsaturated fatty acids that regulate inflammation, vascular function, and immune signaling. Oxylipin profiles can provide insight into metabolic pathways involved in inflammatory regulation and may be used to study links between lipid metabolism, environmental exposures, and disease-related processes.
Mild Cognitive Impairment (MCI) Diagnoses
This dataset contains diagnosis data that indicate whether a participant meets clinical criteria for MCI, a condition characterized by measurable declines in memory or other cognitive abilities that exceed typical age-related changes but do not meet criteria for dementia. These data can be used to classify participants by cognitive status and to study risk factors and progression toward dementia.