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This data set provides the 16S microbial community composition of peat and sand ingrowth cores via DNA and cDNA sequence analysis before and during Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatlands Under Changing Environments (SPRUCE). Samples were...

This data set provides the ingrowth peat extracellular enzyme potential (EE) for before and during Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatlands Under Changing Environments (SPRUCE). EE potential was quantified and calculated following a...

This data set provides the ingrowth peat extracellular enzyme potential (EE) for before and during Deep Peat Heating (DPH) and Whole Ecosystem Warming (WEW) for 2015-2016 from the Spruce and Peatlands Under Changing Environments (SPRUCE). EE potential was quantified and calculated following a...

This data set provides the 16S microbial community composition via DNA sequence analysis at the time of peat coring at the South End bog in 2013. These samples were collected outside the experimental enclosures and are pre-treatment with no experimental manipulation. These are part of the Spruce and...

Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson Influenza A Virus Experiment ICL105 Metadata The purpose of this experiment was to evaluate the host epigenetic response to Influenza A (H5N1) virus infection. Sample data was obtained from human lung adenocarcinoma cells (Calu-3) and...

Boreal peatlands are important global carbon reservoirs that are particularly vulnerable to predicted climate changes such as increasing CO2 and temperature. Since microbial activities regulate the balance of carbon sequestered into soil organic matter or remineralized to CO2, characterizing their...

Cloud-resolving model simulations using the Weather Research and Forecasting (WRF) model v3.6.1 with the spectral-bin microphysics for a locally occurring system on 17 March 2014. The dataset includes the model code and simulation outputs.

Last updated on 2023-01-30T00:09:57+00:00 by LN Anderson Influenza A Virus Experiment ICL106 Metadata The purpose of this experiment was to evaluate the human host epigenetic response to Influenza A (H5N1) virus infection. Samples were obtained from human lung adenocarcinoma cell (Calu-3) and...

The long term goal of this scientific focus area (SFA) is to transform our understanding of climate-relevant processes and provide more robust model representations of the climate system through the integration of new knowledge on cloud and aerosol populations, and their interactions with each other...

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Spruce and Peatlands Responses Under Changing Environments (SPRUCE) site is the 8.1-ha S1 bog, a Picea mariana [black spruce] – Sphagnum spp. ombrotrophic bog forest in northern Minnesota, 40 km north of Grand Rapids, in the USDA Forest Service Marcell Experimental Forest (MEF). Two field research...

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The Biomedical Resilience & Readiness in Adverse Operating Environments (BRAVE) Project develop new capabilities to improve health and performance of first responders in adverse operating environments common to national defense. The BRAVE project analyze biological samples, collect physiological...
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Last updated on 2023-11-09T21:18:57+00:00 by LN Anderson Omics-LHV Profiling of Host Response to Influenza A Virus Infection Background Influenza A virus (IAV) is a high risk biological agent, classified as a Category C priority pathogen ( Orthomyxoviridae ) by the National Institute of Allergy and...

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Soil fungi facilitate the translocation of inorganic nutrients from soil minerals to other microorganisms and plants. This ability is particularly advantageous in impoverished soils, because fungal mycelial networks can bridge otherwise spatially disconnected and inaccessible nutrient hotspots...

GridSTAGE (Spatio-Temporal Adversarial scenario GEneration) is a framework for the simulation of adversarial scenarios and the generation of multivariate spatio-temporal data in cyber-physical systems. GridSTAGE is developed based on Matlab and leverages Power System Toolbox (PST) where the...

Many important application data streams can be modeled as a complex graph of entities, where each graph node or entity is associated with a multi-variate time-series. The overall system’s behavior is modeled as a dynamical system, and it evolves through structural changes in the graph, and/or...

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