Please cite as : McClure R.S., Y. Farris, R.E. Danczak, W.C. Nelson, H. Song, A. Kessler, and J. Lee, et al. 2022. Metatranscriptomic data from MSC-2. [Data Set] PNNL DataHub. https://data.pnnl.gov/group/nodes/dataset/33232 Metatranscriptomic data from MSC-2 12 fastq files (6 forward read, 6 reverse...
Filter results
Category
- (-) Ecosystem Science (2)
- (-) Energy Efficiency (1)
- 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)
- Computational Mathematics & Statistics (3)
- Data Analytics & Machine Learning (3)
- Data Analytics & Machine Learning (3)
- Renewable Energy (3)
- Chemical & Biological Signatures Science (2)
- Cybersecurity (2)
- Distribution (2)
- Electric Grid Modernization (2)
- Grid Cybersecurity (2)
- Weapons of Mass Effect (2)
- Bioenergy Technologies (1)
- Chemistry (1)
- Computational Mathematics & Statistics (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
Showing 1 - 3 of 3
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...
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...