A new book presents a multidisciplinary perspective on soil, exploring it as a nexus for water flow, near surface (bio)geochemistry, erosion and deposition, and biologically coupled nutrient cycling.
data management
Posted inResearch Spotlights
A Global Look at Surface Soil Organic Carbon
Soil organic carbon is an important element of ecosystem and climate health. Remote sensing can now give scientists a global look at this important piece of the carbon puzzle.
Posted inOpinions
Enhancing Food Security Through Earth Science Data
When most agriculture in the world is rural, getting crucial geoscience information to farmers is a technical challenge that a few organizations are just starting to figure out.
Posted inEditors' Vox
Special Collection on Open Collaboration Across Geosciences
Join open writing teams to collaborate on commentaries for a special collection describing approaches that embody synthesis, cross-disciplinary integration, and open science across geosciences.
Posted inScience Updates
A Fresh Perspective on Intricate Volcanic Plumbing Systems
Combining commercial hydrocarbon and mineral exploration data with novel academic research and modeling capabilities helps answer key questions about underground magma systems.
Posted inNews
Our Food Systems Are Complicated. Food Data Don’t Have to Be
Researchers made a “Google Maps” for global food systems. Could it help us tackle food’s thorniest problems?
Posted inResearch Spotlights
Australia’s Most Extreme Bushfire Season, Statistically Speaking
Researchers identified climatic and geomorphic risk factors that led to record-breaking fires across Australia during the 2019–2020 fire season.
Posted inOpinions
Data Sets Are Foundational to Research. Why Don’t We Cite Them?
The lack of clear references to and descriptions of data sets in published literature limits the usefulness of data, as well as the reproducibility and credibility of scientific findings.
Posted inScience Updates
Advancing AI for Earth Science: A Data Systems Perspective
Tackling data challenges and incorporating physics into machine learning models will help unlock the potential of artificial intelligence to answer Earth science questions.
Posted inEditors' Vox
Tackling 21st Century Geoscience Problems with Machine Learning
A new cross-journal special collection invites contributions on how machine learning can be used for solid Earth observation, modeling and understanding.