Extreme weather events, including fires, heatwaves(HWs), and droughts, have significant impacts on earth, environmental, and power energy systems. Mechanistic and predictive understanding, as well as probabilistic risk assessment of these extreme weather events, are crucial for detecting, planning...
Filter results
Category
- (-) National Security (21)
- (-) Data Analytics & Machine Learning (8)
- (-) Coastal Science (4)
- Scientific Discovery (307)
- Biology (198)
- Earth System Science (136)
- Human Health (102)
- Integrative Omics (73)
- Microbiome Science (42)
- Computational Research (23)
- Computing & Analytics (14)
- Chemistry (10)
- Energy Resiliency (9)
- Materials Science (7)
- Visual Analytics (6)
- Chemical & Biological Signatures Science (5)
- Computational Mathematics & Statistics (5)
- Weapons of Mass Effect (5)
- Atmospheric Science (4)
- Ecosystem Science (4)
- Renewable Energy (4)
- Data Analytics & Machine Learning (3)
- Plant Science (3)
- Cybersecurity (2)
- Distribution (2)
- Electric Grid Modernization (2)
- Energy Efficiency (2)
- Energy Storage (2)
- Grid Cybersecurity (2)
- Solar Energy (2)
- Bioenergy Technologies (1)
- Computational Mathematics & Statistics (1)
- Grid Analytics (1)
- High-Performance Computing (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Transportation (1)
- Wind Energy (1)
Content type
Tags
- Machine Learning (6)
- Type 1 Diabetes (6)
- Autoimmunity (5)
- Synthetic (5)
- Biomarkers (4)
- Molecular Profiling (4)
- Predictive Modeling (4)
- Mass spectrometry-based Omics (3)
- Alternative Splicing (2)
- Cybersecurity (2)
- Electrical energy (2)
- Proteomics (2)
- Data inventory (1)
- Droughts (1)
- EBC (1)
- Exhaled Breath Condensate (1)
- Extreme weather (1)
- Fires (1)
- Heatwaves (1)
- High-Performance Computing (1)
- ML/AI (1)
- Omics (1)
- Quantification (1)
- TMT (1)
Showing 31 - 33 of 33
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...
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...