A total of 172 children from the DAISY study with multiple plasma samples collected over time, with up to 23 years of follow-up, were characterized via proteomics analysis. Of the children there were 40 controls and 132 cases. All 132 cases had measurements across time relative to IA. Sampling was...
Filter results
Category
- (-) Computational Mathematics & Statistics (3)
- Scientific Discovery (178)
- Biology (106)
- Earth System Science (89)
- Human Health (69)
- Integrative Omics (52)
- Microbiome Science (16)
- National Security (14)
- Computing & Analytics (10)
- Energy Resiliency (7)
- Computational Research (6)
- Visual Analytics (6)
- Atmospheric Science (3)
- Coastal Science (3)
- Data Analytics & Machine Learning (3)
- Data Analytics & Machine Learning (3)
- Renewable Energy (3)
- Chemical & Biological Signatures Science (2)
- Cybersecurity (2)
- Distribution (2)
- Ecosystem Science (2)
- Electric Grid Modernization (2)
- Grid Cybersecurity (2)
- Weapons of Mass Effect (2)
- Bioenergy Technologies (1)
- Chemistry (1)
- Computational Mathematics & Statistics (1)
- Energy Efficiency (1)
- Energy Storage (1)
- Grid Analytics (1)
- High-Performance Computing (1)
- Plant Science (1)
- Solar Energy (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Transportation (1)
- Wind Energy (1)
Content type
Dataset Type
Showing 1 - 3 of 3
This data is supplementary to the manuscript Expanding the access of wearable silicone wristbands in community-engaged research through best practices in data analysis and integration by Lisa M. Bramer, Holly M. Dixon, David J. Degnan, Diana Rohlman, Julie B. Herbstman, Kim A. Anderson, and Katrina...
Comprised of 6,426 sample runs, The Environmental Determinants of Diabetes in the Young (TEDDY) proteomics validation study constitutes one of the largest targeted proteomics studies in the literature to date. Making quality control (QC) and donor sample data available to researchers aligns with...