Machine learning (ML) methods are proliferating in scientific research. However, the
adoption of these methods has been accompanied by failures of validity, reproducibility, and …

Gully erosion has important on and off site effects. Therefore, several studies have been
conducted over the past decades to quantify gully headcut retreat (GHR) in different …

Replicability is an important feature of scientific research, but aspects of contemporary
research culture, such as an emphasis on novelty, can make replicability seem less …

Data sharing is one of the cornerstones of modern science that enables large-scale
analyses and reproducibility. We evaluated data availability in research articles across nine …

Meta-analysis is often used to compare how soil health differs between organic and
conventional farming systems. However, the burgeoning primary literature on organic …

Poor research design and data analysis encourage false-positive findings. Such poor
methods persist despite perennial calls for improvement, suggesting that they result from …

Soil erosion is a geomorphological and, at the same time, a land degradation process that
may cause environmental and property damage, loss of livelihoods and services as well as …

Access to data is a critical feature of an efficient, progressive and ultimately self-correcting
scientific ecosystem. But the extent to which in-principle benefits of data sharing are realized …

Machine learning and data mining coupled with molecular modeling have become powerful
tools for materials discovery. Metal–organic frameworks (MOFs) are a rich area for this due …

In this crowdsourced initiative, independent analysts used the same dataset to test two
hypotheses regarding the effects of scientists' gender and professional status on verbosity …