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https://www.selleckchem.com/products/memantine-hydrochloride-namenda.html This data report includes the parameter and library files that can be used with Amber's LEaP program to generate input files for MD simulations using the Amber software package. We also provide the PDB data files of the initial model both by itself and solvated with TIP3P water molecules and counterions.We present a dataset of 13446 shell commands from 175 participants who attended cybersecurity training and solved assignments in the Linux terminal. Each acquired data record contains a command with its arguments and metadata, such as a timestamp, working directory, and host identification in the emulated training infrastructure. The commands were captured in Bash, ZSH, and Metasploit shells. The data are stored as JSON records, enabling vast possibilities for their further use in research and development. These include educational data mining, learning analytics, student modeling, and evaluating machine learning models for intrusion detection. The data were collected from 27 cybersecurity training sessions using an open-source logging toolset and two open-source interactive learning environments. Researchers and developers may use the dataset or deploy the learning environments with the logging toolset to generate their own data in the same format. Moreover, we provide a set of common analytical queries to facilitate the exploratory analysis of the dataset.The present data profile the large scale transcriptome changes in Arabidopsis thaliana Col-0 seedlings exposed to mono-rhamnolipids (Mono-RLs) from Pseudomonas aeruginosa secretome. Bacterial rhamnolipids (RLs) are biosurfactant known to trigger plant defense mechanisms and have a great potential for crop culture protection as environmental-friendly biocontrol solution. They are thought to interact directly with membrane lipids to induce plant defense gene expression and protection towards phytopathogens. However, to date, data on the global

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