Filter results
Category
- (-) Earth System Science (89)
- (-) National Security (14)
- (-) Renewable Energy (3)
- (-) Grid Cybersecurity (2)
- Scientific Discovery (178)
- Biology (106)
- Human Health (69)
- Integrative Omics (52)
- Microbiome Science (16)
- Computing & Analytics (10)
- Energy Resiliency (7)
- Computational Research (6)
- Visual Analytics (6)
- Atmospheric Science (3)
- Coastal Science (3)
- Computational Mathematics & Statistics (3)
- Data Analytics & Machine Learning (3)
- Data Analytics & Machine Learning (3)
- Chemical & Biological Signatures Science (2)
- Cybersecurity (2)
- Distribution (2)
- Ecosystem Science (2)
- Electric Grid Modernization (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)
Tags
- Soil Microbiology (13)
- sequencing (9)
- Metagenomics (7)
- Microbiome (4)
- Omics (4)
- Fungi (3)
- Genomics (3)
- IAREC (3)
- metagenomics (3)
- Sequencing (3)
- soil microbiology (3)
- Climate Change (2)
- Cybersecurity (2)
- Electrical energy (2)
- Mass Spectrometry (2)
- omics (2)
- EBC (1)
- High-Performance Computing (1)
- microbiome stability (1)
- Microscopy (1)
- mineral weathering (1)
- MultiSector Dynamics (1)
- Output Databases (1)
- Proteomics (1)
- Quantification (1)
- species volatility (1)
- Spectroscopy (1)
- Synthetic (1)
- TMT (1)
- Viruses (1)
Category
Category
Category
Category
Category
Category
Category
Category
Category
Category
Category
Comprehensive assessment of climate datasets created by statistical or dynamical models is important for effectively communicating model projection and associated uncertainty to stakeholders and decision-makers. The Department of Energy FACETS project aims to foster such communication through...
Category
Please cite as : Anderson L.N., R. Wu, W.C. Nelson, J.E. McDermott, K.S. Hofmockel, and J.K. Jansson. 2021. KS-TmG.2.0 (Metagenome, KS). [Data Set] PNNL DataHub. https://doi.org/10.25584/KSTmG2/1770332 Soil samples were collected in triplicate in the fall of 2017 across the three grassland locations...
Category
Please cite as : Anderson L.N., R. Wu, W.C. Nelson, J.E. McDermott, K.S. Hofmockel, and J.K. Jansson. 2021. IA-TmG.2.0 (Metagenome, IA). [Data Set] PNNL DataHub. https://doi.org/10.25584/IATmG2/1770333 Soil samples were collected in triplicate in the fall of 2017 across the three grassland locations...