Artificial Intelligence is the new electricity! It is a valuable tool, that already shows its potential in numerous everyday applications. We are the Earth and Environment team at Helmholtz AI and our aim is to contribute in making this tool available within the science community, as a means towards scientific advancement. We help researchers embrace AI in their research endeavors, and work...
Marine data quality control (QC) is crucial to provide robust data products for climate analyses, monitoring, process- and model studies and much more. However, the QC of marine measurements of e.g. temperature, salinity, nutrients (phosphate, nitrate, …), oxygen etc. is challenging. Measurements are prone to errors due to external forcing (sun, wind, currents, …), internal variability (e.g....
The characterisation of seafloor habitats and their resident megafaunal communities contributes to our collective understanding of the global ocean health and resilience. Whereas direct sampling e.g using box corers provides physical samples that can be archived and analysed later in the lab, recent advances in optical imaging platforms have enabled the generation of high-resolution images and...
The Davis-SHIP-system (DSHIP) is designed to store and manage environmental and system data collected during expeditions of German research vessels. These data encompass a wide range of information, including physical and chemical parameters of seawater as well as data on weather conditions and other environmental variables. The DAM project "Underway” research data undertakes a scientific...
As the life sciences are becoming increasingly reliant on big data and an ever-growing number of computational strategies, leveraging a data science approach can substantially enhance the efficacy and robustness of biological data analyses. Yet, for these data manipulation and processing methods to reach their full potential for biological applications, it is critical for biologists and...
