A core challenge in global change biology is to predict how species will respond to future
environmental change and to manage these responses. To make such predictions and …

The conservation field is experiencing a rapid increase in the amount, variety, and quality of
spatial data that can help us understand species movement and landscape connectivity …

Random variables and their distributions are a central part in many areas of statistical
methods. The Distributions. jl package provides Julia users and developers tools for working …

Comrade is a Bayesian modeling package, targeted for very-long-baseline interferometry
(VLBI) and written in the Julia 1 programming language (Bezanson et al., 2015). Comrade …

The software needs of scientists and engineers are growing and their programs are
becoming more compute-heavy and problem-specific. This has led to an influx of non-expert …

Integrated data analysis (IDA) pipelines---that combine data management (DM) and query
processing, high-performance computing (HPC), and machine learning (ML) training and …

Atomic cascades are ubiquitous in nature and they have been explored within very different
scenarios, from precision measurements to the modeling of astrophysical spectra, and up to …

Abstract Background The advent of Julia as a sophisticated and dynamic programming
language in 2012 represented a significant milestone in computational programming …

Graph signal processing has recently emerged as a field with applications across a broad
spectrum of fields including brain connectivity networks, logistics and supply chains, social …

Brief introduction: What are microclimates and why are they important? Microclimate science
has developed into a global discipline. Microclimate science is increasingly used to …