Datasets Description

  • Population: Year of birth, month of birth, sex, and study ID.
  • Events: Birth month/year, age at research stage, sex, follow‐up details, and visit dates.
  • Anthropometrics: Individual body measurement records (e.g. height, weight, circumferences).
  • Fundus: Retinal image files, vessel/artery/vein segmentations, and derived microvasculature features.
  • Liver Ultrasound: Derived liver measures (viscosity, elasticity, attenuation), auxiliary data, and aggregated information.
  • Diet Logging: Detailed food logs per participant including macronutrient information.
  • Hand Grip: Measurements of hand and finger grip strength.
  • Blood Pressure: Multiple readings capturing systolic and diastolic pressures as well as heart rate.
  • Serum Lipidomics: High‐throughput lipid annotations from blood serum spectral data.
  • Sleep: Sleep staging, body positioning, respiratory events, heart rate, oxygen saturation, and snoring details.
  • Vascular Health: ABI and PWV measurements for assessing vascular stiffness.
  • Body Composition: DXA‐based measures of fat and lean mass, including VAT/SAT areas, masses, and volumes.
  • Carotid Ultrasound: Carotid intima-media thickness measurements from ultrasound imaging.
  • Gut Microbiome: Gut metagenomic sequencing with QC statistics and relative abundance profiles.
  • Human Genetics: Genotype data including sample metadata, QC statistics, principal components, and kinship coefficients.
  • ECG: Raw and processed 12‐lead ECG waveforms and machine‐extracted cardiac features.
  • Blood Tests: Participant‐provided blood (and urine) test results from routine clinical care.
  • CGM: Continuous glucose monitoring data with temporal readings and computed summary features.
  • Medications: Self‐reported medication usage (mapped to ATC codes) from various collection methods.
  • Medical Conditions: Self‐reported binary information on diagnosed medical conditions.
  • Bone Density: DXA measurements of bone mineral content and density, with age/sex/ethnicity normalized values.
  • RNA-Seq: Bulk gene expression profiles from PBMCs including read counts and QC metrics.
  • Nightingale Metabolomics: NMR‐based quantification of blood serum metabolites (lipids, fatty acids, amino acids, etc.).
  • COVID Questionnaire: Survey responses on COVID‐19 vaccination status and diagnosis history.
  • Sex-specific Factors: Data on reproductive health and hormonal variations impacting medical outcomes; collected via surveys adapted from the UKBB questionnaire.
  • Participant Relation: Self‐reported information on familial relationships among study participants.
  • Medical Symptoms: Detailed self‐reports of physical and mental symptoms for real‐time health tracking; partially collected via follow‐up surveys modeled on the UKBB questionnaire.
  • Medical Procedures: Data on self‐reported medical interventions and procedures over time.
  • Children: Information on participants’ children including counts, birth weights, and pregnancy durations.
  • Family History: Self‐reported family medical history detailing hereditary risk factors; collected via surveys including components modeled on the UKBB questionnaire.
  • Sociodemographics: Demographic and socioeconomic information such as age, education, and income; collected via surveys modeled on the UKBB questionnaire.
  • Lifestyle and Environment: Survey data on lifestyle behaviors and environmental exposures; collected via a UKBB‐based lifestyle survey.
  • Psychological and Social Health: Self‐reported mental health, emotional well‐being, and social factors; collected via a UKBB‐based lifestyle survey.
  • Health and Medical History: Comprehensive data on past and current health conditions, treatments, and surgeries; collected via surveys including elements from the UKBB questionnaire.
  • Oral Microbiome: Metagenomic profiles of the oral microbial community derived from buccal swabs.