The database contains 55 compounds and is comprised of the species in the paper referenced below that introduced the concept of the SERDP database.

The data accompanies the manuscript in review that evaluates salinity-associated shifts in organic C thermodynamics, biochemical transformations, and heteroatom content in a first-order coastal watershed in the Olympic Peninsula of Washington state, USA. The files contain raw data including soil...

The data accompanies the manuscript in review that evaluates salinity-associated shifts in organic C thermodynamics, biochemical transformations, and heteroatom content in a first-order coastal watershed in the Olympic Peninsula of Washington state, USA. The files contain raw data including soil...

Background: New demands for water can be satisfied through a variety of source options. In some basins surface and/or groundwater may be available through permitting with the state water management agency (termed unappropriated water), alternatively water might be purchased and transferred out of...

Framework for Optimizing Reliable Energy Systems and Infrastructure Given High-uncertainty Trajectories (FORESIGHT) The FORESIGHT initiative develops a first-of-its-kind multi-system operational and near-term planning framework to systematically account for evolving probabilities of weather extremes...

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...

Background In type 1 diabetes (T1D), autoimmune response and inflammation cause the death of pancreatic β cells, leading to the body’s inability to produce insulin and maintain glucose homeostasis. This process is at least in part mediated by pro-inflammatory cytokines, such as interferon (IFN)α...

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...

The overarching goal of this research is to predict and engineer robust microbial phenotypes under stressed conditions to accelerate and de-risk bioprocess development. Laboratory strains routinely fail to maintain productivity at industrial scales, in part due to bioprocess stresses and a limited...

The research goal of this project is to develop a computational approach known as Variation-leveraged Phenomic Association Study (VaLPAS) to address the challenge of using functional dark matter (proteins, metabolites, lipids) for bioeconomy applications. The project has four objectives: 1...