Please cite as : Mary S. Lipton, William C. Nelson, Hugh McCullough, Montana L. Smith, Sheryl L. Bell, Lisa M. Bramer, Hyun-Seob Song, Kirsten Hofmockel, 2025. Moisture Metaphenome Incubation Analysis Results . [Data Set] PNNL DataHub. https://doi.org/10.25584/3007775 This data is published under a...

Energy insecurity affects most low-income households in the United States. Energy insecurity, which is characterized by a household’s inability to afford their energy needs, often leads to risky choices, causing other forms of insecurity including food and health. Although there are government...

Please cite as : Schmidt A.J. 2023. MHTLS Cross-flow Heat Exchanger Temperature Performance Data. [Data Set] PNNL DataHub. 10.25584/2476481 The presentation and supporting information provide data on the performance of an engineering-scale cross-flow heat exchanger used in hydrothermal liquefaction...

Federal and state decarbonization goals have led to numerous financial incentives and policies designed to increase access and adoption of renewable energy systems. In combination with the declining cost of both solar photovoltaic and battery energy storage systems and rising electric utility rates...

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...

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...

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...

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 --...

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 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 contains time series data collected from devices and sensors in the PNNL Systems Engineering Building collected using the VOLTTRON platform. The data includes readings from HVAC, power, and lighting systems and was collected between March and July of 2018. This work was funded by the...

Problem Statement and Objectives : Climate datasets are available across many institutions. Understanding which one to use, or how to combine the datasets, and for which application, or/and which region, and/or which specific fundamental science question is a challenge. A multi-lab PNNL-ANL...

Current methods for supply chain inventory data often require significant time and effort from manufacturers to compile. Additionally, without a uniform methodology these can result in inconsistent datasets that are difficult for practitioners to evaluate and compare, even within similar product...

Predictive Phenomics Initiative (PPI) Project Data Catalog Collection The Predictive Phenomics Initiative (PPI) is an internal LDRD investment at Pacific Northwest National Laboratory focused on unraveling the mysteries of molecular function in complex biological systems. Explore PPI research...