A new framework for understanding the suite of processes acting on marine particulate trace metals exemplifies how alternative analyses can maximize the information that large data sets provide.
data management
A Novel Method for Assessing Model Sensitivity
This newly developed approach to assessing the quality of sensitivity analyses can be applied to any method without bootstrapping or additional model runs.
X-Ray Computed Tomography Detects Resolution Scale Gold Grains
A method combining partial-volume and blurring effects can be used to measure small features in computed tomography data volumes.
Sharing Data Helps Puerto Ricans Rebound After Hurricane Maria
Recent hurricane seasons left many communities wondering if this is the new normal. Digital infrastructure designed for citizen data collection may help these communities increase resilience.
Putting the Cloud to Work for Seismology
The cloud infrastructure developed in the business community has made access to cluster computing possible for even the smallest research groups, enabling new kinds of research workflows in geophysics.
Compiling a Census for SEAFLEAs
Collaboration to Compile Open-Source Sites of Seafloor Fluid Expulsion Anomalies, AGU Fall Meeting 2018; Washington, D.C., 14 December 2018
Data from Past Eruptions Could Reduce Future Volcano Hazards
Optimizing the Use of Volcano Monitoring Database to Anticipate Unrest; Yogyakarta, Indonesia, 26–29 November 2018
A Digital Mayfly Swarm Is Emerging
Low-cost, open-source data collectors and a suite of collaborative online tools are making big leaps in the field of watershed monitoring.
It’s Time to Shift Emphasis Away from Code Sharing
Building well-documented, citable frameworks for Earth data analysis will encourage scientific replicability by addressing the underlying issues that inhibit code sharing.
Soil Moisture Data Sets Become Fertile Ground for Applications
An integrated data platform harmonizes many disparate soil moisture data sets to better inform disaster response planners, climate scientists and meteorologists, farmers, and others.
