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
- (-) Data Analytics & Machine Learning (3)
- (-) 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)
- 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
Inclusion levels of alternative splicing (AS) events of five different varieties (i.e. skipped exon (SE), retained intron (RI), alternative 5’ splice site (A5SS), alternative 3’ splice site (A3SS), and mutually exclusive exons (MXE)) were measured in human blood samples from two separate cohorts of...
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...
Category
A total of 172 children from the DAISY study with multiple plasma samples collected over time, with up to 23 years of follow-up, were characterized via proteomics analysis. Of the children there were 40 controls and 132 cases. All 132 cases had measurements across time relative to IA. Sampling was...
Comprised of 6,426 sample runs, The Environmental Determinants of Diabetes in the Young (TEDDY) proteomics validation study constitutes one of the largest targeted proteomics studies in the literature to date. Making quality control (QC) and donor sample data available to researchers aligns with...