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
Content type
Tags
- (-) Heat Exchanger (1)
- (-) Metatranscriptomic (1)
- (-) ML/AI (1)
- Cybersecurity (2)
- Electrical energy (2)
- Energy Equity (2)
- Energy Storage (2)
- Chitin (1)
- Data inventory (1)
- Droughts (1)
- Energy Burden (1)
- Energy Justice (1)
- Extreme weather (1)
- Fires (1)
- Heatwaves (1)
- High-Performance Computing (1)
- Hydrothermal Liquefaction (1)
- Machine Learning (1)
- Mass Spectrometer (1)
- Mass Spectrometry (1)
- Omics (1)
- Predictive Modeling (1)
- Renewable Energy (1)
- Soil (1)
- Solar photovoltaics (1)
- ToF-SIMS (1)
- Weatherization (1)
- Wet Waste (1)
Showing 1 - 3 of 3
The presentation and supporting information provide data on the performance of an engineering-scale cross-flow heat exchanger used in hydrothermal liquefaction (HTL). Temperature profiles are provide for the process of waste water treatment sludges and a food waste. The data can be used to model...
Category
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...