2026 September - 38 articles
Urban disaster screening requires transparent methods that can integrate heterogeneous open datasets without implying unsupported causal or probabilistic relationships. This study presents an open-data framework for screening flood-footprint populati...
Crop residues are important renewable biomass resources with considerable potential for regional energy supply and low-carbon transition. However, existing biomass resource datasets often lack sufficient spatial resolution, crop-level information, an...
Early-warning research for approaching small unmanned aerial vehicles (sUAVs) requires more than isolated images, sounds, or radio-frequency traces. A reusable resource must connect event context, synchronized observations, evidence strength, media q...
The duration of unemployment, along with the unemployment rate, is one of the most important indicators of the labour market. It provides information on the scale of unemployment, along with its nature and socio-economic impacts. This article contrib...
The Relative Age Effect (RAE) describes systematic differences in athlete representation according to birth date, but it remains unclear whether the associated birth-quarter asymmetries vary across geographical contexts or reflect a broadly shared in...
A fast-flux network (FFN) keeps itself accessible by frequently altering its IP addresses, usually avoiding standard detection techniques. In April 2025, six countries released a joint advisory describing this method as a national security threat and...
Arabic NER and NED research is limited by the lack of large-scale public datasets that support both tasks with validated entity links and difficulty-aware evaluation. In this paper, we propose ANERD, a large-scale Arabic corpus and benchmark for NER/...
Official statistical indicators are essential for monitoring progress toward the Sustainable Development Goals (SDGs). However, indicator data, metadata, source datasets, producing agencies, and global SDG references are often managed and disseminate...
This paper presents a 30-day indoor ice rink dataset comprising 1,305,260 observations from twenty signals, a full 43,200-min calendar with acquisition gaps, and a 42,929-row reference preprocessed table produced by deterministic last-observation-car...
This experimental dataset presents optical fiber specklegram images obtained from a step-index multi-mode fiber (MMF) due to multi-position force perturbations. The force recognition specklegrams can help in the development of data-driven models for...
Administrative disaster data may be technically usable even when available fields do not support every substantive interpretation associated with a workflow. We present an evidence-aware software–data compatibility framework using an archived O...
The interaction between algorithmic recommendation platforms (ARPs) and users shapes users’ subjective cognition. However, the process through which subjective cognition changes during long-term user–algorithm interactions has not been su...
Urban snow can serve as a passive sampler of atmospheric inputs during a defined accumulation period. This data descriptor presents georeferenced chemical element concentrations in snow collected during two discrete six-day accumulation events in Jel...
Underwater object detection faces significant challenges including uneven lighting, low contrast, and scattering-induced distortions. Existing underwater datasets are limited in scale, class diversity, and annotation consistency, which hinders robust...
Singlish is a code-mixed creole formed from English and multiple Asian languages and dialects, predominantly spoken in Singapore. Translation of Singlish to standard UK English broadens comprehension of the creole and supports downstream analyses suc...
Automated classification of municipal solid waste remains challenging due to high variability in object appearance, deformation, contamination, and inconsistent consumer disposal behavior, creating a need for representative multimodal datasets that e...
Modern homecare research increasingly relies on multimodal sensing technologies in smart homes to monitor daily routines, sleep, environmental conditions, and physiological activities over long periods. However, publicly available datasets often lack...
Accurate precipitation data are fundamental for reliable hydrological modeling, water resources management, and climate resilience planning. Although extensive hydrometeorological datasets exist in Brazil, including those maintained by the Brazilian...
Musculoskeletal injuries are the leading cause of time loss in professional football, yet machine learning models integrating multi-protocol force-plate data for injury-risk classification are absent from the Latin American professional football lite...
The rapid development of multimodal foundation models has shifted video understanding from perception-centered recognition toward more general semantic interpretation, reasoning, and decision-making over dynamic visual content. As video understanding...
Respiratory emergencies create recurrent seasonal pressure on hospital services, yet reproducible forecasting research is often hindered by the effort required to retrieve, interpret, harmonize, and document public administrative data. Chile-ED-Resp...
Published breath examination studies report inconsistent associations between diabetes and exhaled volatile organic compounds, partly because conventional appraisal tools do not assess whether quantitative data are comparable and fit for secondary us...
Keratoconus assessment relies on corneal topography to characterize curvature, elevation, and thickness. Public datasets remain limited, particularly for Orbscan 3 and underrepresented geographic populations. CornOrb is a multimodal dataset of Bausch...
Stakeholder workshops often produce diverse qualitative and ordinal data that are difficult to process consistently, transparently, and reproducibly, particularly in multilingual settings. To address these challenges, we developed an end-to-end workf...
This work addresses the need for efficient and reusable vector embeddings (VEs) for large-scale RDF Knowledge Graphs, focusing on the widely used DrugBank dataset. The study aims to reduce the computational burden and environmental impact associated...
Conceptual metaphors structure abstract domains through concrete, perceptual, affective, or bodily experience, but they are accessed through metaphorical expressions. Controlled experimental work requires normed materials characterizing expressions,...
Alpine meadows in the eastern Qinghai–Tibet Plateau serve as core water retention zones within China’s Three-River Source Region, while simultaneously functioning as vital grassland pastures. Livestock breeding activities impose severe di...
Traditional Earned Media Value (EMV) calculations suffer from methodological limitations by depending on oversimplified and outdated proxies like Advertising Value Equivalency (AVE). In service marketing, where offerings are intangible and consumers...
Mobile self-reports provide subjective and contextual information that passive sensors cannot recover, but frequent prompts compete with everyday activities and are often answered late. Here, we show that situational context and recent response histo...
Deep-seated gravitational slope deformations (DGSDs) are large, slow-moving landslides that strongly influence mountain landscape evolution and slope stability. Despite their geomorphological importance, no standardized regional geospatial dataset de...
The value of money is shaped by economic, political, and social dynamics, prompting individuals to rely on different saving and investment instruments to preserve and grow their wealth over time. Focusing on Romania as a representative emerging-econo...
Digital salary advance and earned wage access platforms require intelligent monitoring mechanisms capable of identifying behavioral anomalies, estimating operational risk, and preserving auditable transaction evidence. Existing financial anomaly dete...
The availability of large, structured legal datasets is essential for advancing legal natural language processing, information retrieval, and the development of reliable language technologies. However, such resources remain scarce for Kazakh, a morph...
Metallurgical R&D search is difficult for a practical reason: useful evidence is rarely defined by one keyword. A production-support question can depend at the same time on material grade, process route, defect mechanism, property, test method, a...
Artificial intelligence (AI)-supported decision systems can improve managerial decision-making, but their cognitive implications may depend on how information, explanations, alerts, time pressure, uncertainty, autonomy, and human control are configur...
Digital pathology and computational analysis of breast cancer require datasets that connect microscopic images with clinically meaningful diagnostic, morphological and immunohistochemical information. But images are often provided separately from pat...
Life cycle inventory (LCI) data constitute Phase 2 of life cycle assessment (LCA) and serve as the basis for calculating environmental impacts. In agricultural LCA studies, LCI data are often reported using different scopes, stages, units, and calcul...
To deepen our understanding of human–ecosystem interactions, researchers need to be able to retrieve and analyze historical dark data such as plant and animal phenology, but there are often barriers to doing so. Despite the development of onlin...
