Soil microorganisms play fundamental roles in cycling of soil carbon, nitrogen, and other nutrients, yet we have a poor understanding of how soil microbiomes are shaped by their nutritional and physical environment. In this study, we investigated the successional dynamics of a soil microbiome during...
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As part of the Pacific Northwest National Laboratory’s (PNNL) Science Focus Area program, we are investigating the impact of environmental change on microbial community function in grassland soils. Three grassland soils, representing different moisture regimes, were selected for ultra-deep...
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The soil microbiome is central to the cycling of carbon and other nutrients and to the promotion of plant growth. Despite its importance, analysis of the soil microbiome is difficult due to its sheer complexity, with thousands of interacting species. Here, we reduced this complexity by developing...
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"Deconstructing the Soil Microbiome into Reduced-Complexity Functional Modules" The soil microbiome represents one of the most complex microbial communities on the planet, encompassing thousands of taxa and metabolic pathways, rendering holistic analyses computationally intensive and difficult. Here...
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This data is a model of synthetic adversarial activity surrounded by noise and was funded by DARPA. The various versions include gradually more complex networks of activities.
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Datasets
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This data is a model of synthetic adversarial activity surrounded by noise and was funded by DARPA. The various versions include gradually more complex networks of activities.
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Datasets
1
The VAST Challenge 2019 presents three mini-challenges and a grand challenge for you to apply your visual analytics research and technologies to help a city grapple with the aftermath of an earthquake that damages their nuclear power plant. These challenges are open to participation by individuals...
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Datasets
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This data is a model of synthetic adversarial activity surrounded by noise and was funded by DARPA. The various versions include gradually more complex networks of activities. This data was generated by PNNL. Activities can be phone calls, transactions, or any other type of communications. Most of...
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Datasets
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Dataset
This data was generated by the organization IvySys. Activities can be phone calls, transactions, or any other type of communications. Most of the files are of the type .edges, .rdf, or .csv; but all can be opened in a text editor. A good introduction to this data can be found in \Tutorial1\MAA...
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Dataset
This data was generated by the organization GORDIAN. Activities can be phone calls, transactions, or any other type of communications. Most of the files are of the type .csv; and can be opened in a text editor. A description of the data and how to read it can be found in the html files for the...
Dataset
Various graph datasets, documentation, and tools are provided here by the SDGG-MAA project. PNNL DARPA MAA Graph Dataset V1.0 (September 2017) – Three preliminary channel background graphs with and without embedded signal patterns.
Dataset
Various graph datasets, documentation, and tools are provided here by the SDGG-MAA project. PNNL DARPA MAA Graph Dataset V2.0 (October 2017) – Preliminary channel background graph with embedded signal patterns at various sizes (~7K, ~50K, and ~100K nodes). Signal patterns have also been extracted...
Dataset
Various graph datasets, documentation, and tools are provided here by the SDGG-MAA project. PNNL DARPA MAA Graph Dataset V3.0 (March 2018) - Twelve examples of five-channel background graphs with embedded signal patterns at around ~1M nodes each. Multiple signal patterns have been embedded into each...
Dataset
Various graph datasets, documentation, and tools are provided here by the SDGG-MAA project. PNNL DARPA MAA Graph Dataset V4.0 (June 2018)
Dataset
Various graph datasets, documentation, and tools are provided here by the SDGG-MAA project. PNNL DARPA MAA Graph Dataset V5.0 (September 2018)