Scientific Data
A peer-reviewed, open-access journal for descriptions of datasets, and research that advances the sharing and reuse of scientific data.
Wrangling a de novo sequencing benchmark
In any machine learning study, high quality data for training and validating the model is critical. This paper describes the result of an iterative process of data wrangling and quality control, which ultimately produced a benchmark dataset for de novo peptide sequencing from mass spectrometry data.
The promise in the Sound of a Cough
The image of a world where doctors can diagnose diseases like tuberculosis (TB) simply by listening to the sound of your cough might sound like something from science fiction. Yet, thanks to advances in artificial intelligence (AI) and machine learning, this future is closer than ever before.
The NEREA Augmented Observatory: an integrative approach to marine coastal ecology
This post shares the story behind our recent Scientific Data paper, detailing the creation of the NEREA Augmented Observatory. Discover how we overcame challenges, innovated data collection, and collaborated to advance marine ecological research in the Gulf of Naples.
