MULTI-SCALE LABORATORIES
The study of Earth's processes spans a wide range of spatial and temporal scales, from microscopic to continental and from milliseconds to millions of years. Multi-Scale Laboratories investigate these processes by leveraging a diverse array of experimental techniques and instruments, contributing to our understanding of Earth dynamics and associated hazards.
Infrastructure and Collaborative Framework
The Thematic Core Service (TCS) for Multi-Scale Laboratories coordinates over 100 laboratories across Europe. These facilities provide access to advanced experimental apparatus and data from solid Earth science disciplines, fostering harmonized research and collaboration. The initiative emphasizes sharing laboratory outputs via the EPOS platform.
Applications and Societal Impact
Data from Multi-Scale Laboratories is crucial for understanding geohazards, resource extraction, and fundamental Earth processes. For example, insights into rock properties and fault dynamics inform earthquake risk assessment and mining safety. The availability of high-quality experimental data also supports education and public awareness initiatives.
Tools and Platforms
The EPOS platform centralizes data, products, and software from various laboratory infrastructures. It categorizes resources into sub-domains, including analogue modeling, paleomagnetism, geochemistry, and rock properties. The platform also makes MSL labs and equipment discoverable, for research collaboration That way you can further your research, by making use of MSL labs and expertise. Not familiar with laboratories? No worries - we can often help you.
Future Goals and Aspirations
The TCS for Multi-scale Laboratories aims to enhance the coherence and accessibility of experimental Earth science labs and data. The MSL community strives to jointly develop and implement best practices for effective, FAIR (Findable, Accessible, Interoperable, Re-usable) sharing of lab data. By doing so, and by expanding its network and integrating advanced technologies like artificial intelligence, the initiative seeks to drive innovation and foster a more collaborative research environment.
