Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Omics-LHV Profiling of Host Response to MERS-CoV Virus Infection Background Middle East Respiratory Syndrome coronavirus ( MERS-CoV ), part of the Coronaviridae family, is classified as a Category C priority pathogen by the National Institute...

Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Omics-LHV Profiling of Host Response to Ebola Virus Infection Background Ebola virus ( EBOV ) is a high risk biological agent, belonging to the Flaviviridae family, and is classified as a Category A priority pathogen by the National Institute...

Last updated on 2024-02-11T22:41:43+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 belonging to the Orthomyxoviridae family is classified as a Category C priority pathogen by the National...

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 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...

Last updated on 2024-02-11T22:41:43+00:00 by LN Anderson Omics-LHV Profiling of Host Interferon-Stimulated Response to Virus Infection Background The human host Interferon ( IFN ) alpha, beta, and gamma participate in the body's natural immune response to lethal virus infection and disease. The...

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...

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 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...

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...

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.

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...

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...