Filter results
Category
- (-) Computational Mathematics & Statistics (7)
- (-) Atmospheric Science (4)
- (-) Ecosystem Science (4)
- (-) Distribution (2)
- (-) Energy Efficiency (2)
- (-) Wind Energy (1)
- Scientific Discovery (309)
- Biology (200)
- Earth System Science (136)
- Human Health (104)
- Integrative Omics (74)
- Microbiome Science (42)
- Computational Research (25)
- National Security (22)
- Computing & Analytics (15)
- Chemistry (10)
- Energy Resiliency (10)
- Data Analytics & Machine Learning (9)
- Materials Science (7)
- Visual Analytics (6)
- Chemical & Biological Signatures Science (5)
- Renewable Energy (5)
- Weapons of Mass Effect (5)
- Coastal Science (4)
- Data Analytics & Machine Learning (4)
- Plant Science (3)
- Cybersecurity (2)
- Electric Grid Modernization (2)
- Energy Storage (2)
- Grid Cybersecurity (2)
- Solar Energy (2)
- Bioenergy Technologies (1)
- Computational Mathematics & Statistics (1)
- Grid Analytics (1)
- High-Performance Computing (1)
- Subsurface Science (1)
- Terrestrial Aquatics (1)
- Transportation (1)
Tags
- Cybersecurity (2)
- Electrical energy (2)
- Autoimmunity (1)
- Chitin (1)
- Data Analysis (1)
- Energy Burden (1)
- Energy Equity (1)
- Energy Justice (1)
- Energy Storage (1)
- Machine Learning (1)
- Mass Spectrometer (1)
- Mass Spectrometry (1)
- Metatranscriptomic (1)
- Omics (1)
- Output Databases (1)
- Renewable Energy (1)
- Soil (1)
- ToF-SIMS (1)
- Type 1 Diabetes (1)
- Weatherization (1)
Fusarium sp. DS682 Proteogenomics Statistical Data Analysis of SFA dataset download: 10.25584/KSOmicsFspDS682/1766303 . GitHub Repository Source: https://github.com/lmbramer/Fusarium-sp.-DS-682-Proteogenomics MaxQuant Export Files (txt) Trelliscope Boxplots (jsonp) Fusarium Report (.Rmd, html)...
PNNL’s Vision Statement for Equity in the Power Grid Drawing from a wealth of interdisciplinary research in grid modernization, PNNL is spearheading an effort to advance equity and energy justice through the role of scientific research with the goal of building an advanced national power grid...
Datasets
2
Predictive Phenomics is addressing the grand challenge of understanding and predicting phenotype by identifying the molecular basis of function and enable function-driven design and control of biological systems .
Category
Datasets
0
The Human Islet Research Network (HIRN) is a large consortia with many research projects focused on understanding how beta cells are lost in type 1 diabetics (T1D) with a goal of finding how to protect against or replace the loss of functional beta cells. The consortia has multiple branches of...
Category
Datasets
1
Category
David Degnan is a biological data scientist who develops bioinformatic and statistical pipelines for multi-omics data, specifically the fields of proteomics, metabolomics, and multi-omics (phenotypic) data integration. He has experience with top-down & bottom-up proteomics analysis, genomics &...
The IONTOF TOF.SIMS 5 data source is a time-of-flight secondary ion mass spectrometer and powerful surface analysis tool used to investigate scientific questions in biological, environmental, and energy research. Among the most sensitive of surface analysis tools, it uses a high-vacuum technique...
Comprehensive assessment of climate datasets created by statistical or dynamical models is important for effectively communicating model projection and associated uncertainty to stakeholders and decision-makers. The Department of Energy FACETS project aims to foster such communication through...
Category
Category
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...
Category
This dataset includes one baseline and three cybersecurity based scenarios utilizing the IEEE 9 Bus Model. This instantiation of the IEEE 9 model was built utilizing the OpalRT Simulator ePhasorsim module, with Bus 7 represented by hardware in the loop (HiL). The HiL was represented by two SEL351s...
This dataset includes the results of high-fidelity, hardware in the loop experimentation on simulated models of representative electric and natural gas distribution systems with real cyber attack test cases. Such datasets are extremely important not only in understanding the system behavior during...
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 --...