The year 2014 solution files are based on model calibration effort based on inputs and data from Year 2014 as described in Khangaonkar et al. 2018). It includes water surface elevation, currents, temperature and salinity at an hourly interval. These netcdf files with 24 hourly records include...

Please cite as : McClure R.S., Y. Farris, R.E. Danczak, W.C. Nelson, H. Song, A. Kessler, and J. Lee, et al. 2022. Model Soil Consortium 2 (MSC-2) Bacterial Isolate Genomes. [Data Set] PNNL DataHub. https://doi.org/10.25584/PNNLDH/1986536 Model Soil Consortium 2 (MSC-2) Bacterial Isolate Genomes...

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...

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...

Supporting data and code uploaded to DataHub for "How do the weather regimes drive wind speed and power production at the sub-seasonal to seasonal timescales over the CONUS?" Created by Ye Liu*, Sha Feng*, Yun Qian, Berg K Larry, Huilin Huang *POC: Ye Liu, Ye.Liu@pnnl.gov Sha Feng, sfeng@pnnl.gov --...

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...

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...

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...