Organizational announcements and stories about our work and the science we support.
We want scientific inquiries to face as few speedbumps as possible, enabling you to do more with less time invested. Let’s talk a little about the way we’re structuring data storage to help make that happen.
A recent paper used DAS on Rhône Glacier in the Swiss Alps to infer the discharge of meltwater streams. We talked with one of the authors about how they wrangled this large dataset.
What can’t be explained by a delicious food metaphor? Maybe geophysical research in the cloud, but we’re going to try anyway.
The July 8-12 Massive Parallel Analysis System for Seismologists (MsPASS) short course was the first to run in our GeoLab JupyterHub environment, showcasing one of the benefits of the new cloud-based platform we are building.
A recent paper helpfully documents a basic cloud computing project, including a practical introduction to the key concepts you need to know. Check out our interview with one of the authors!
Events like this help us take the pulse of our community—highlighting for us how the growth of cloud computing is progressing and why, for example. Here’s a short summary of what we heard.
If you aren’t yet familiar with notebooks, here’s a primer on what they are—and why many in science find them useful.
The Data Help Desk is a robust support platform that we hope will provide a streamlined access point for all the different questions about data collection, discovery, access, and delivery.
As the new cloud architecture for our data systems is taking shape, it’s time to start sharing information about the new capabilities that will become available.
