The resources provided by the HDR Institutes are organized in a searchable Baserow database to make it easy to explore what each institute offers. From educational materials and datasets to models and code, each institute contributes different kinds of resources tailored to their research and outreach missions. Whether you're a K-12 educator, researcher, or community science volunteer, you'll find materials that support your work. Not sure where to start? Check out our [getting started guide] to learn how to navigate the database and make the most of what's available.
Resources include online courses, tutorials, workshops, and camps that cover topics from machine learning and AI to geospatial analysis and biological imaging. It also includes structured training modules, handbooks, procedural guides, and team science toolkits that support research workflows, high-performance computing (HPC) training, cloud computing instruction, and collaborative problem-solving.
Provides the computational and analytical infrastructure needed for research, experimentation, and workflow execution. This includes specialized software for AI, ML, and scientific computing, code repositories, and interactive notebooks that streamline data workflows and visualization. Visualization platforms, GeoAI tools, and computing environments such as HPC clusters, cloud platforms, and analysis portals enable users to perform large-scale simulations, manage complex datasets, and execute reproducible workflows.
Foundational information and analytical frameworks that drive discovery and insight. This includes large and diverse scientific datasets spanning geospatial, biological, and ecological domains, as well as machine learning models tailored for specific research applications. By providing access to curated datasets and pre-trained models, users can explore patterns, test hypotheses, and perform computational analyses across disciplines.
