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...
Filter results
Category
- (-) Integrative Omics (73)
- (-) Computing & Analytics (14)
- (-) Computational Mathematics & Statistics (5)
- Scientific Discovery (307)
- Biology (198)
- Earth System Science (136)
- Human Health (102)
- Microbiome Science (42)
- Computational Research (23)
- National Security (21)
- Chemistry (10)
- Energy Resiliency (9)
- Data Analytics & Machine Learning (8)
- Materials Science (7)
- Visual Analytics (6)
- Chemical & Biological Signatures Science (5)
- Weapons of Mass Effect (5)
- Atmospheric Science (4)
- Coastal 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)
Tags
- Virology (57)
- Immune Response (53)
- Time Sampled Measurement Datasets (50)
- Gene expression profile data (47)
- Differential Expression Analysis (46)
- Homo sapiens (34)
- Mass spectrometry data (30)
- Multi-Omics (30)
- MERS-CoV (18)
- Mus musculus (18)
- West Nile virus (13)
- Ebola (11)
- Influenza A (11)
- Omics (9)
- Resource Metadata (9)
- Mass Spectrometry (7)
- Human Interferon (6)
- Microarray (6)
- Omics-LHV Project (6)
- Proteomics (5)
- Synthetic (5)
- Mass Spectrometer (4)
- Imaging (3)
- metabolomics (3)
- Microscopy (3)
- Response to type I interferon (3)
- Epigenetics (2)
- Lipidomics (2)
- Machine Learning (2)
- Viral Experiment (2)
Showing 91 - 92 of 92
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...