Online training produces more accurate and stable machine-learned models than classic offline learning from big data sets.
data management
Western US Adjoint Tomography Reproduces Waveform Complexity
Adjoint tomography employing 3D wavefield simulations for 72 well recorded regional earthquakes in the western U.S. yields spectacular improvements to waveform fits.
The Big Data Revolution Unlocks New Opportunities for Seismology
The field of seismology is entering a new era where our understanding of earthquakes and the solid earth is increasingly driven by new Big Data experiments and algorithms.
Playing It Safe in Field Science
Researchers face many risks when working in the field. Documenting past and future accidents and safety incidents can help identify patterns and practices to keep scientists out of harm’s way.
Credit Where Credit Is Due
Promoting open, inclusive, transparent, and traceable science requires that scientists revamp the ways in which we acknowledge all manner of contributions to research.
Open and Fair Data in Tropical Forests
People who gather ground data on tropical forests are highly disadvantaged compared to the users of such data. A new paper suggests long-term collaborations as a path forward.
Encontrando los océanos ocultos de las lunas usando campos magnéticos inducidos
Un análisis de componentes principales de modelos especulativos puede predecir con más seguridad que las técnicas anteriores la p^ppresencia de un océano subsuperficial en un objeto planetario.
Diagnosing Neptune’s Chilly Summer
A pandemic project analyzing a trove of infrared images revealed an unexplained phenomenon taking place in Neptune’s atmosphere.
A New Index to Quantify River Fragmentation
Researchers have developed a new analysis based on a river’s catchment area as opposed its length.