2026 June - 26 articles
Digital transformation has become an essential component of sustainable rural development, yet substantial inequalities persist in how communities access, adopt, and benefit from digital technologies. Understanding these disparities requires not only...
Spatially explicit socioeconomic data are critical for regional analysis, yet they remain scarce at subnational scales in many African contexts. This study presents a transparent and reproducible open-data framework to generate high-resolution gridde...
Recurring load-shedding and persistent power system disruptions in South Africa have intensified the need for reliable data-driven assessment of electricity supply dynamics. Addressing this challenge requires comprehensive and well-structured dataset...
In this work, we present the Chernozem Soil Aggregates Micromorphometrical Parameters Dataset for specific areas located in the Central Russian Upland that can be utilized for the development of a digital twin of Chernozem. The present dataset repres...
The increasing availability of airborne LiDAR data supports advanced three-dimensional analysis of urban vegetation. However, the development of deep learning methods for tree species classification remains limited by the lack of annotated datasets a...
Levee-like features are critical for water regulation in arid regions, but their automated extraction from remote sensing imagery remains challenging due to the scarcity of high-resolution labeled datasets. This data descriptor introduces a high-reso...
Melittin, the principal active peptide of bee venom, exhibits potent cytotoxicity against cancer cells. However, its lipid-level mechanisms remain unclear. Here, we present the first untargeted lipidomic dataset that reveals melittin-induced lipid re...
The emergence of data science has fundamentally transformed the landscape of scientific research [...]
Large language models (LLMs) are increasingly being used in radiology-related workflows, but their application to reference, regulatory, and methodological queries remains limited by hallucinations and the static nature of model knowledge. This study...
The majority of currently available hand kinematic databases have been gathered using expensive marker-based systems or are restricted to a particular gesture-recognition task, failing to capture the dynamic nature of joints when the hand is engaged...
The expanding capabilities of deep learning-based media synthesis have intensified concerns regarding the authenticity of digital content and the reliability of forensic analysis tools. In response to these challenges, this work introduces DeepFakeX,...
The efficiency of data-driven research relies not only on high-quality data and sufficient computational resources but also depends sensitively on the personal knowledge management of the researcher. The multitude of digital artefacts created during...
Knowledge of river flood risk in semiarid rural areas is often based on outdated, low-resolution geoinformation. Consequently, identification of exposed settlements, assets and risk-reduction measures remains challenging. This dataset provides up-to-...
This study presents a dataset of meteorological and soil-hydrological instrumental observations collected at three agrometeorological stations in the East Kazakhstan Region during the growing seasons of 2022–2025. The dataset includes time seri...
The blockchain-based Automated Market Maker (AMM) mechanism establishes a multilateral trading market for multi-source homogeneous data assets. Its advantage lies in realizing algorithmic dynamic pricing and automated circulation through decentralize...
Human cervical cancer and pre-cancer research relies on datasets scattered across modality-specific archives, imaging repositories, benchmark platforms, trial registries, and controlled-access catalogs. This fragmentation—combined with heteroge...
Movie genre classification is a significant challenge in narrative analysis, as traditional methods often fail to capture complex structural relationships within movie stories. This study introduces the Intra-Cluster Weighted Movie Network (ICWMN), a...
The dataset presented in this manuscript consists of physicochemical, nutritional, and functional characteristics of mamey purees from three West-Indian accessions selected for their processability, i.e., Galion, Ti Jacques, and Sonson. Physicochemic...
Reliable evaluation resources for semantic deduplication, semantic textual similarity (STS), and retrieval remain limited for low-resource and morphologically rich languages. This study introduces KazakhTextDuplicates, a Kazakh-language benchmark for...
We present the use of iOrganoAssay (images of Organoid Assay) to connect microscopy images with organoid assessment assays such as live–dead, immunocytochemistry, and drug treatment assays. The iOrganoAssay consists of an R script-based applica...
The Marmara region of Türkiye, situated along the North Anatolian Fault Zone (NAFZ), constitutes one of the most seismically active and densely monitored zones globally. Given the region’s high vulnerability and the catastrophic impacts of...
We present a whole-rock geochemical dataset of late Variscan intrusive rocks and residual anatectic melts from the mid- and lower continental crust exposed in the Serre Massif of Calabria (southern Italy). A total of 74 samples were collected from th...
Academic stress is one of the main challenges affecting the psychological well-being of university students due to its impact on mental health, academic performance, and quality of life. The aim of this study was to analyze and model the factors asso...
This paper presents a dashboard-oriented visual analytics workflow for classification-related exploratory analysis based on Information Gain (IG), histogram segmentation, and complementary localized interpretation through the Precise Piecewise Correl...
This study examines the research data curation processes used in the comprehensive open distance e-learning (CODeL) institution that supports open science. As a result, this study discusses the research data curation processes employed by the institu...
Modeling historically situated gender ideology remains challenging for language models, as contemporary embeddings struggle to reflect temporally specific semantic structures beyond surface lexical patterns. Although large language models exhibit ext...
