In 2018, Scientific Data published the first global soils data set (HYSOGs250m) that can be directly used for curve-number (CN)-based runoff modeling. While the CN method was developed in the United States by the Department of Agriculture (USDA), it’s international adaptation has quickly grown.
Bridging scales in neuroscience, from the level of proteins and molecules to large-scale networks, is an important endeavour in broadening our understanding of how the brain works. In our newly published Data Descriptor in Scientific Data, we provide a dataset and tools to help achieve this goal.
Forty years ago, the introduction of modern meta-analysis brought the scientific method to reviews and syntheses of research results from multiple studies. The consequences of its widespread adoption have fundamentally changed the way scientists view scientific information, and ushered in an era of evidence-based decisions and the resolution of fundamental questions in medicine, ecology, psychology and many other fields.
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Members have access to valuable resources on research data, including posters, articles, video and slides. Get the latest updates from the community through the blog Data Dialogues and can join discussions through our Conversations forum.