Glycosaminoglycans (GAGs) are complex polysaccharides exhibiting a vast structural
diversity and fulfilling various functions mediated by thousands of interactions in the …

The sharing of research data is essential to ensure reproducibility and maximize the impact
of public investments in scientific research. Here, we describe OpenNeuro, a BRAIN …

Water data are essential for monitoring, managing, modelling and projecting water
resources. Yet despite such data—including water quantity, quality, demand and ecology …

Biomedical data are amassed at an ever-increasing rate, and machine learning tools that
use prior knowledge in combination with biomedical big data are gaining much traction 1, 2 …

Current barriers hindering data-driven discoveries in deep-time Earth (DE) include:
substantial volumes of DE data are not digitized; many DE databases do not adhere to FAIR …

Collembola are among the most abundant and diverse soil microarthropods, which are
found in almost all (semi) terrestrial environments and often serve as model organisms in …

The increasing ubiquity of Artificial Intelligence (AI) chatbots across a variety of sectors has
sparked a burgeoning interest in deciphering the determinants that govern their adoption …

Bio‐logging data obtained by tagging animals are key to addressing global conservation
challenges. However, the many thousands of existing bio‐logging datasets are not easily …

Genomic data are being produced and archived at a prodigious rate, and current studies
could become historical baselines for future global genetic diversity analyses and …

Biological collections are a critical part of the nation's science and innovation infrastructure
and a fundamental resource for understanding the natural world. Biological collections …