2026 August - 29 articles
This Data Descriptor presents a georeferenced dataset of electromagnetic-field exposure measurements collected in Colombia between 2 November 2023 and 30 June 2024. The records originate from the Sistema de Monitoreo de Campos of the Agencia Nacional...
The regional fauna of many Diptera groups is insufficiently studied. Tabanidae are the largest representatives of blood-sucking Diptera. A description of a dataset on the biodiversity of horseflies (Tabanidae) is presented, which includes information...
Multimodal sentiment analysis aims to integrate heterogeneous textual, visual, and acoustic information for effective emotion understanding. However, existing methods often suffer from insufficient cross-modal interaction modeling, limited adaptabili...
Quantitative flowering phenotypes are needed to support breeding and harvest management in Hypericum perforatum L. (St. John’s wort), but manual flower assessment is slow and difficult to standardize under field conditions. UAV-Hyp is a multi-t...
The development of intrusion detection and network security solutions for securing Internet of Things (IoT) networks is constrained by the limited availability of representative network security datasets. Many existing datasets rely on centralised tr...
This Data Descriptor presents a value-added suite of derived vegetation phenology products for Southern and Central Europe (10° W–28° E; 35° N–50° N), generated from the PKU GIMMS NDVI v1.2 archive (1982–2022) throug...
Frost prediction in tropical high-mountain agricultural regions is difficult because sparse meteorological networks must represent strong terrain-driven microclimatic variability. This article presents a topoclimatic graph dataset for frost predictio...
This work presents conditioned and normalized vibration signal datasets acquired from the spanwise axis of the three blades of a rotating bladed system operating at a constant rotational speed of 240 rpm. The conditioned dataset was obtained using pi...
We present a global metadata comprising results from studies investigating the effects of cover crops (CCs) on six key soil hydraulic properties, namely total porosity, infiltration rate, saturated hydraulic conductivity, water retention at field cap...
The growing complexity of urban mobility requires datasets that integrate dynamic traffic observations with meteorological, geometric, and urban-context information. This study presents MUTra-CDMX, a multisource urban traffic dataset covering a 14.72...
Research on sharing economy platforms has expanded rapidly, yet the literature remains fragmented across studies on platform business models, gig work, algorithmic management, trust, reputation systems, artificial intelligence, and data-driven value...
Financial fraud keeps rising these days. Organizations attempt to stop this trend by using various methods, such as distributing guides on how to avoid scams and frauds and automatically generating alerts when suspicious activities occur. However, th...
The effectiveness of machine learning and deep learning methods for network anomaly detection depends strongly on the quality and representativeness of the datasets used for training and evaluation. Despite recent advances, many publicly available be...
Background: Borderline dengue immunoglobulin M (IgM) enzyme-linked immunosorbent assay (ELISA) results create diagnostic and epidemiological uncertainty. Collapsing the manufacturer’s three qualitative categories into a binary outcome changes t...
The present study was performed to determine the antibiotic resistance genes (ARGs), virulence determinants, and mobile genetic elements in multidrug-resistant Escherichia coli CUK-76 isolated from wastewater in Himachal Pradesh, India. Whole genome...
Automatic extraction of genealogical information from historical archival-genealogical documents in Uzbek is an understudied problem for low-resource languages. Multi-layer NLP benchmarks are not sufficient to automatically identify individuals, fami...
Software-Defined Networking (SDN) separates the control and data planes, introducing a logically centralized controller that is itself a high-value attack target. Despite growing interest in SDN intrusion detection, publicly available datasets either...
Background: Diabetes mellitus remains one of the most extensively researched conditions in global health, with a rapidly growing body of literature addressing its prevention, management, and treatment. Characterising highly cited diabetes-related res...
Background: Dental insurance claims data are vital for research in oral health, epidemiology, and policy. However, issues like data quality, coding standards, validity, interoperability, and analytical approaches hinder their use. This review outline...
The convergence of multi-omics strategies and big data analytics is transforming modern healthcare by shifting medicine from a reactive discipline to a proactive, personalized system. This review explores how integrating genomics, transcriptomics, pr...
The Eddy Covariance station provides observations of agrometeorological variables and surface energy fluxes, collected from 2019 to 2022, in a citrus orchard located in the Souss-Massa plain, Morocco. The present dataset comprises measurements record...
Background. Recent advances in data systematization have enabled the development of machine learning models to evaluate performance in elite sports; however, studies are needed to analyze the performance of professional players in relation to their p...
The PR-IHC-40X dataset comprises a high-resolution collection of region-of-interest (ROI) images and corresponding ground-truth (GT) annotations for progesterone receptor (PR) immunohistochemistry (IHC) analysis in breast cancer pathology. We obtaine...
This data descriptor documents a two-level genre classification scheme for metal-music corpus studies derived from Encyclopaedia Metallum’s multi-label genre strings. The scheme assigns each band to one of eleven mutually exclusive primary buck...
This study employs machine learning methods to estimate possible source regions from Andean lead isotopes, a novel approach for tracing the provenance of metal artifacts in this region. Two Random Forest coordinate models were trained to approximate...
The deep decarbonization of high-emission chemical industries requires green hydrogen–ammonia parks that directly integrate volatile renewable energy with continuous synthesis processes. However, high-resolution, physically consistent operation...
Romania’s Mecanismul de Feedback al Pacientului (MFP; Patient Feedback Mechanism) has collected post-discharge patient experience feedback from public hospitals since 2016 and publishes monthly aggregate workbooks through official channels, but...
Background and objective: During adolescence, physical fitness attributes are a key factor positively influencing not only physical health, but also cognitive, psychological and social development. The objective was to derive data-driven physical fit...
The present dataset comprises information pertaining to dental anxiety and current stress among patients attending an oral surgery clinic. The data were collected using Corah’s Dental Anxiety Scale (DAS) and the questionnaire on current stress...
