Calls for papers

This Collection highlights a series of articles detailing curated datasets focused on air pollution emissions, such as greenhouse gas emissions, air toxins, and various pollutants.

The microbiome is increasingly recognized as playing a pivotal role in human health and disease. This Collection highlights a series of articles detailing curated metagenomic domains, including gut, skin, and oral microbiota communities.

Comprehensive, high-quality datasets are essential for advancing our understanding of climate-driven natural disasters and ensuring our resilience to future environmental challenges.

This Collection presents a series of annotated text and speech corpora alongside linguistic models tailored for CL and NLP applications. These resources aim to enrich the arsenals of CL and NLP users and facilitate interdisciplinary research.

This Collection aims to give recognition to new research and developments in data structures and medical ontologies, and welcomes the submission of Data Descriptors and Articles.

This Collection of articles focuses on curated datasets related to gait patterns, encompassing a variety of populations and health contexts.

This Collection presents descriptions of datasets combining brain imaging or neurophysiological data performed alongside real-world tasks or exposure to different stimuli.

This Collection presents data within epigenetics research including, but not limited to, data generated through techniques such as ChIP, bisulphite, nanopore and RNA sequencing, single-cell epigenetics/epigenomics, spatial genomics/epigenomics, and the role of non-coding RNAs in epigenetic modulation.

This Collection aims to showcase recent efforts in election and political science data creation, describing datasets sourced from primary government data sources or quantitative research methods with the aim of advancing areas such as of policy, political engagement and other fields.

This Collection presents a series of articles describing epidemiological datasets spanning diverse populations, ecosystems, and disease contexts. Data are presented without hypotheses or significant analyses, and can be derived from population surveys, health registries, electronic health records, field sampling, or other sources.