This dataset presents land surface parameters designed explicitly for global kilometer-scale Earth system modeling and has significant implications for enhancing our understanding of water, carbon, and energy cycles in the context of global change. Specifically, it includes four categories of...
Filter results
Category
- (-) Computing & Analytics (14)
- (-) Energy Resiliency (10)
- (-) Data Analytics & Machine Learning (9)
- (-) Coastal Science (4)
- Scientific Discovery (308)
- Biology (199)
- Earth System Science (136)
- Human Health (103)
- Integrative Omics (74)
- Microbiome Science (42)
- Computational Research (24)
- National Security (21)
- Chemistry (10)
- Materials Science (7)
- Computational Mathematics & Statistics (6)
- Visual Analytics (6)
- Chemical & Biological Signatures Science (5)
- Renewable Energy (5)
- Weapons of Mass Effect (5)
- Atmospheric Science (4)
- Ecosystem Science (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)
- Energy Equity (2)
- Energy Storage (2)
- Data inventory (1)
- Droughts (1)
- Energy Burden (1)
- Energy Justice (1)
- Extreme weather (1)
- Fires (1)
- Heat Exchanger (1)
- Heatwaves (1)
- High-Performance Computing (1)
- Hydrothermal Liquefaction (1)
- ML/AI (1)
- Renewable Energy (1)
- Solar photovoltaics (1)
- Weatherization (1)
- Wet Waste (1)
As energy prices rise and climate change brings more extreme and frequent days of heating and cooling, households must allocate more of their income to energy bills, increasing their energy burden. Many strategies are employed to alleviate high energy burden, such as weatherization, energy...
Category
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...
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...
Federal and state decarbonization goals have led to numerous financial incentives and policies designed to increase access and adoption of renewable energy systems. In combination with the declining cost of both solar photovoltaic and battery energy storage systems and rising electric utility rates...
Category
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...