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Showing 20 of 748 academic articles

Exploring feature selection and classification methods for predicting heart disease

Robinson Spencer, Fadi Thabtah, Neda Abdelhamid, Michael Thompson • Digital Health (2020)

Machine learning has been used successfully to improve the accuracy of computer-aided diagnosis systems. This paper experimentally assesses the performance of models derived by machine learning techniques by using relevant features chosen b...

DOAJ Open Access (DOAJ) DOI: 10.1177/2055207620914777

Dataset on Women's empowerment, land and donor-driven agricultural interventions in Eastern Zambia

Progress H. Nyanga, Bridget Bwalya Umar, Douty Chibamba, Wilma S. Nchito • Data in Brief (2020)

A survey was conducted with 235 randomly selected households to investigate women's empowerment, land and donor-driven agricultural interventions in Eastern Zambia [1] for aid programmes with (Norwegian) and without (Chinese) women empowerm...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2020.106113

A novel and accelerated method for integrated alignment and variant calling from short and long reads

Jinnan Hu, Donald Freed, Hanying Feng, Hong Chen et al. • Frontiers in Bioinformatics (2026)

BackgroundIntegrating short- and long-read sequencing technologies has become a promising approach for achieving accurate and comprehensive genomic analysis. Although short-read sequencing (Illumina, etc.) offers high base accuracy and cost...

DOAJ Open Access (DOAJ) DOI: 10.3389/fbinf.2025.1691056

Dataset on perception of public college students on underage drinking in Nigeria

Olujide A. Adekeye, Emmanuel O. Amoo, Sussan O. Adeusi, Olufunke O. Chenube et al. • Data in Brief (2019)

Alcohol is the most widely used substance of abuse among youths in Nigeria. Underage drinking poses a serious public health problem in most colleges and despite the health and safety risk, consumption of alcohol is rising. Having recourse t...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2019.103930

Datasets associated with investigating the potential for beneficial reuse of produced water from oil and gas extraction outside of the energy sector

Bridget R. Scanlon, Robert C. Reedy, Pei Xu, Mark Engle et al. • Data in Brief (2020)

The data in this report are associated with https://doi.org/10.1016/j.scitotenv.2020.137085 [4] and include data on water volumes and water quality related to the major unconventional oil and gas plays in the U.S. The data include volumes o...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2020.105406

Fusing content and social relationships: a multi-modal heterogeneous graph transformer approach for social bot detection

Jianhong Luo, Chaoqi Jin • EPJ Data Science (2025)

Abstract Social bots pose a significant threat to online platforms, demanding robust methods to detect their increasingly complex behaviors. This paper introduces MM-HGT-Bot, a multi-modal framework that advances the field by operationalizi...

DOAJ Open Access (DOAJ) DOI: 10.1140/epjds/s13688-025-00583-5

An updated database of human maximum skin fluxes and epidermal permeability coefficients for drugs, xenobiotics, and other solutes applied as aqueous solutions

Hanumanth Srikanth Cheruvu, Xin Liu, Jeffrey E Grice, Michael S. Roberts • Data in Brief (2022)

The dataset represented in this article is referred to by the review article entitled “Topical drug delivery: history, percutaneous absorption, and product development” (MS Roberts et al., 2021) [1]. The dataset contains maximal flux (Jmax)...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2022.108242

Adaptive frequency band attention-guided CNN–BiLSTM for Spatial–Spectral–Temporal EEG emotion recognition

Rabita Hasan, Sheikh Md. Rabiul Islam • Brain Informatics (2026)

Abstract Electroencephalography (EEG)-based emotion recognition has gained increasing attention in affective computing because EEG provides high temporal resolution and reflects intrinsic neural activity. However, reliable emotion recogniti...

DOAJ Open Access (DOAJ) DOI: 10.1186/s40708-026-00319-9

Solar spectra datasets at optimum and vertical installation angles in central Europe (Berlin) during 2020, 2021 and 2022

Guillermo A. Farias-Basulto, Maximilian Riedel, Mark Khenkin, Rutger Schlatmann et al. • Data in Brief (2023)

This article provides datasets containing three years worth of solar spectra for the optimum installation angle of 35° and the building-integrated-photovoltaics relevant vertical angle of 90°. These datasets were obtained by measuring the s...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2023.109273

Noninvasive aspergillosis following COVID-19 exacerbates the severity of SARS-CoV-2 infection

Jong Seung Kim, Jun Hyung Park, Juhyun Kim, Yong Chul Lee et al. • International Journal of Infectious Diseases (2026)

Objectives: Few large-scale population-based studies have examined the association between COVID-19 and respiratory aspergillosis. Using nationwide data, we investigated whether SARS-CoV-2 infection increases respiratory aspergillosis incid...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.ijid.2026.109095

Data for: Terrain units, land use/cover, and gross primary productivity of the largest fluvial basin in the Brazilian Amazonia/Cerrado ecotone: The Araguaia River Basin

Antonio Couto, Junior, Pedro Martins, Edson Sano, Eder Martins et al. • Data in Brief (2021)

Integrity of most of tropical wetlands is threatened because they are often considered freely available resources of land and water. The Araguaia River Basin is one of the Brazilian basins most influenced by tropical seasonal floods, in add...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2020.106636

HRI-confusion: A multimodal dataset for modelling and detecting user confusion in situated human-robot interaction

Na Li, Jane Courtney, Robert Ross • Data in Brief (2025)

The dataset was collected from 28 participants (17 female, 9 male, and 1 non-binary) for a study aimed at modelling and detecting user social behaviours with different confusion states in task-oriented situated human-robot interaction (HRI)...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2025.112047

Subjective wellbeing and mental health during the COVID-19 pandemic: Data from three population groups in Colombia

Lina Martínez, Isabella Valencia, Valeria Trofimoff • Data in Brief (2020)

This paper presents three data sets about the consequences of COVID-19 pandemic on mental health and subjective wellbeing in Colombia for three population subgroups: adults (+18 years old), college students, and informal workers. The data w...

DOAJ Open Access (DOAJ) DOI: 10.1016/j.dib.2020.106287

Understanding the Barriers and Facilitators to Sharing Patient-Generated Health Data Using Digital Technology for People Living With Long-Term Health Conditions: A Narrative Review

Emma Simpson, Richard Brown, Elizabeth Sillence, Lynne Coventry et al. • Frontiers in Public Health (2021)

Using digital technology to share patient-generated health data has the potential to improve the self-management of multiple long-term health conditions. Sharing these data can allow patients to receive additional support from healthcare pr...

DOAJ Open Access (DOAJ) DOI: 10.3389/fpubh.2021.641424