Reconstructing the diverse conformations of biomolecules from cryoelectron microscopy datasets remains a longstanding challenge. Here, we present a method that surpasses current approaches across ...

The course covers all aspects concerning the eddy covariance technique, e.g. sensors, methods, post-processing, gap-filling. Particular focus is given to flux measurements post-processing and quality ...

What is the ICW Index? Tl;DR: The ICW index is a weighted average of variables where the weights are determined by the inverse of the covariance matrix of the variables. Anderson (2008) proposed an ...

We describe OHBA Software Library for the analysis of electrophysiology data (osl-ephys). This toolbox builds on top of the widely used MNE-Python package and provides unique analysis tools for ...

Transforming a dataset into one with fewer columns is more complicated than it might seem, explains Dr. James McCaffrey of Microsoft Research in this full-code, step-by-step machine learning tutorial.

The aim of this package is to provide a flexible tool for the climate science community to perform Maximum Covariance Analysis (MCA) in a simple and consistent way. Given the huge popularity of xarray ...