A class covering the basics of writing a successful data management plan for federal funding agencies such as the NEH, NSF, NIH, NASA, and others.

Reproducibility is unquestionably at the heart of science. Scientists face numerous challenges in this context, not least the lack of concepts, tools, and workflows for reproducible research in today's curricula.This short course introduces established and powerful tools that enable reproducibility of computational geoscientific research, statistical analyses, and visualisation of results using R (http://www.r-project.org/) in two lessons:1. Reproducible Research with R MarkdownOpen Data, Open Source, Open Reviews and Open Science are important aspects of science today. In the first lesson, basic motivations and concepts for reproducible research touching on these topics are briefly introduced. During a hands-on session the course participants write R Markdown (http://rmarkdown.rstudio.com/) documents, which include text and code and can be compiled to static documents (e.g. HTML, PDF).R Markdown is equally well suited for day-to-day digital notebooks as it is for scientific publications when using publisher templates.2. GitLab and DockerIn the second lesson, the R Markdown files are published and enriched on an online collaboration platform. Participants learn how to save and version documents using GitLab (http://gitlab.com/) and compile them using Docker containers (https://docker.com/). These containers capture the full computational environment and can be transported, executed, examined, shared and archived. Furthermore, GitLab's collaboration features are explored as an environment for Open Science.Prerequisites: Participants should install required software (R, RStudio, a current browser) and register on GitLab (https://gitlab.com) before the course.This short course is especially relevant for early career scientists (ECS).Participants are welcome to bring their own data and R scripts to work with during the course.All material by the conveners will be shared publicly via OSF (https://osf.io/qd9nf/).

The simulation shows the classic physics situation of a monkey and hunter.
In this case, the hunter is trying to tranquilize the monkey, so the monkey can be re-located to a better habitat. The monkey is clever - when the tranquilizer dart (in blue) leaves the gun, the monkey (in purple) lets go of the tree branch, and starts to fall straight down. Note that there is a net (not shown) at the bottom to catch the monkey, so the monkey won't get hurt.
How should the gun be aimed so the dart hits the monkey?

You can explore various parameters, including changing the direction the gun is aimed, changing the value of the acceleration due to gravity, and adjusting the dart's launch speed.

In this simulation, you see, on the left, a picture of a box at rest on a table. You can apply a vertical force (up or down) to the box. On the right, you can see the full free-body diagram of the box. The free-body diagram shows the gravitational force (green) exerted on the box by the Earth, the normal force (purple) exerted by the table, and the vertical force (dark blue) that you apply. Note that, on the free-body diagram, all three forces are along the vertical line passing through the center of the box, but the force of gravity and the normal force have been shifted a little so they can be seen more easily.

هذه المحاكاة تتحدث عن القوة الطبيعية في الفيزياء