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
- (-) Earth System Science (93)
- (-) Weapons of Mass Effect (3)
- Scientific Discovery (211)
- Biology (127)
- Human Health (71)
- Integrative Omics (57)
- Microbiome Science (25)
- National Security (15)
- Computational Research (10)
- Computing & Analytics (10)
- Chemistry (7)
- Energy Resiliency (7)
- Visual Analytics (6)
- Computational Mathematics & Statistics (4)
- Data Analytics & Machine Learning (4)
- Atmospheric Science (3)
- Chemical & Biological Signatures Science (3)
- Coastal Science (3)
- Data Analytics & Machine Learning (3)
- Ecosystem Science (3)
- Renewable Energy (3)
- Cybersecurity (2)
- Distribution (2)
- Electric Grid Modernization (2)
- Grid Cybersecurity (2)
- Plant Science (2)
- Bioenergy Technologies (1)
- Computational Mathematics & Statistics (1)
- Energy Efficiency (1)
- Energy Storage (1)
- Grid Analytics (1)
- High-Performance Computing (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)
- Mass Spectrometry (2)
- omics (2)
- Amplicon Sequencing (1)
- EBC (1)
- High Throughput Sequencing (1)
- microbiome stability (1)
- Microscopy (1)
- mineral weathering (1)
- MPLEX (1)
- MultiSector Dynamics (1)
- Output Databases (1)
- Proteomics (1)
- Quantification (1)
- Software Data Analysis (1)
- species volatility (1)
- Spectroscopy (1)
- TMT (1)
- Viruses (1)
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...
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...
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...
Please cite as : Wu R., A.E. Zimmerman, and K.S. Hofmockel. 2023. RNA viruses in grassland soils (Prosser, WA). [Data Set] PNNL DataHub. https://data.pnnl.gov/group/nodes/dataset/33706 The data is comprised of RNA viral sequences that were bioinformatically screened from the de novo assemblies of...
Category
Please cite as : Graham E.B., A. Camargo, R. Wu, R.Y. Neches, M. Nolan, W.C. Nelson, and M.M. Pleake, et al. 2024. Global Soil Virus (GSV) Atlas. [Data Set] PNNL DataHub. 10.25584/2229733 This data is published under a CC0 license . The authors encourage data reuse and request attribution by...