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.
Tackling data challenges and incorporating physics into machine learning models will help unlock the potential of artificial intelligence to answer Earth science questions.
Optimizing the Use of Volcano Monitoring Database to Anticipate Unrest; Yogyakarta, Indonesia, 26–29 November 2018
Bruce R. Barkstrom, principal investigator for NASA missions involved with understanding Earth’s radiation budget, committed his life to analyzing, interpreting, and stewarding Earth science data.
Magnetic and electric field measurements at Earth’s surface provide information on Earth’s interior and on space weather. An open-source central repository of these data has received a major update.
Sensor networks and data mining allow for fully automated, real-time monitoring of radio waves.
FLUXNET2015, the latest update of the longest global record of ecosystem carbon, water, and energy fluxes, features improved data quality, new data products, and more open data sharing policies.
The Water Column Sonar Data Archive aggregates and curates sonar data sets from many sources, giving researchers access to much more information than they could collect on their own.
A Department of Energy collaboration aims to make climate model development faster and more efficient by creating a prototype of a system for testing model components.
AGU is revising its data accessibility and preservation position statement.