Data in Brief最新文献

{"title":"Dataset of in-situ meteorological measurements for urban wind energy assessment in the southern region of the Dominican Republic","authors":"Alexander Vallejo-Díaz ,&nbsp;Idalberto Herrera-Moya ,&nbsp;Edwin Garabitos-Lara ,&nbsp;Héctor David Morbán-Ramírez ,&nbsp;Adermim Jhoswar Severino-Simeón ,&nbsp;Anders Malmquist","doi":"10.1016/j.dib.2026.112482","DOIUrl":"10.1016/j.dib.2026.112482","url":null,"abstract":"<div><div>This dataset provides in-situ wind measurements collected between March 2024 and June 2025 from four urban locations in the southern region of the Dominican Republic: San Cristóbal, Azua, Barahona, and San Juan de la Maguana. Measurements were performed using Davis Instruments Vantage PRO2 meteorological stations, strategically installed to characterize the urban wind resource for potential microgeneration applications. The dataset includes wind speed, wind direction, air temperature, relative humidity, and atmospheric pressure. Data processing involved quality control procedures, gap filling through interpolation techniques, and subsequent analysis for wind characterization. The analysis was carried out using WRPLOT View – Wind Rose Plotting Software Version 9.2.0 for wind rose generation, HOMER Pro – Microgrid Analysis Tool, Version 3.18.4 for renewable resource assessment, and Microsoft Excel for parameterization of the Weibull distribution function. In addition, derived metrics such as theoretical wind potential and the theoretically available wind potential were calculated for each location.</div><div>This dataset can serve as a valuable resource for preliminary renewable energy feasibility studies, particularly for screening and comparative assessments of small-scale or distributed generation in urban environments. It also supports urban energy planning and can be used to inform computational fluid dynamics (CFD) studies of urban wind flows, for example through boundary condition definition, model calibration, or comparative analysis, rather than direct validation of highly turbulent urban wind fields, and the design of hybrid wind–solar systems. Beyond energy applications, the data may be applied to urban climate studies, including the assessment of diurnal and seasonal variability and heat island effects, and to modeling the dispersion of air pollution in complex urban settings.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112482"},"PeriodicalIF":1.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146075117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Generated cultural heritage question–answer dataset: Durga in multi-dimensional perspectives","authors":"Tri Lathif Mardi Suryanto ,&nbsp;Aji Prasetya Wibawa ,&nbsp;Hariyono ,&nbsp;Andrew Nafalski ,&nbsp;Gulsun Kurubacak Çakır","doi":"10.1016/j.dib.2026.112495","DOIUrl":"10.1016/j.dib.2026.112495","url":null,"abstract":"<div><div>This dataset presents a valuable compilation of question–answer (QA) pairs derived from cultural texts and sources related to Durga mythology. A total of 21,395 QA pairs, encompassing textual materials such as scriptures, ritual narratives, temple inscriptions, and traditional storytelling records. Each entry includes the source reference, question, and corresponding answer, provided in a structured format compatible with Excel for seamless integration into downstream natural language processing (NLP) tasks. Data collection involved manual curation and annotation by domain experts, followed by preprocessing steps including text normalization, duplication removal, and verification of factual and contextual accuracy. The dataset is designed to support generative QA models, culturally aware chatbots, and digital preservation of heritage knowledge. It is particularly valuable for research in AI-driven cultural applications, educational tools, and digital humanities initiatives aiming to bridge traditional knowledge with computational methods. Researchers and practitioners may utilize the dataset for training generative models, creating interactive educational platforms, developing culturally sensitive AI agents, and supporting comparative studies in cross-cultural heritage. This openly accessible resource adheres to ethical standards, with proper attribution to source materials, and provides a foundational asset for both academic research and applied development in culturally informed artificial intelligence.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112495"},"PeriodicalIF":1.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146075156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dataset for drone problem identification and severity estimation","authors":"Swardiantara Silalahi,&nbsp;Tohari Ahmad,&nbsp;Hudan Studiawan","doi":"10.1016/j.dib.2026.112494","DOIUrl":"10.1016/j.dib.2026.112494","url":null,"abstract":"<div><div>The paper proposes DroSev, a dataset for drone problem identification and severity estimation. The collection of drone flight log messages was acquired from publicly accessible sources on Mendeley Data and AirData. This dataset consists of two subtasks: binary problem identification and multiclass problem severity classification. The former task used only the collection of log messages from Mendeley Data, and the latter task used the merged collection of log messages from both sources. Each subtask has a train and test split with an 80:20 ratio generated with stratified sampling. Further syntactical characteristics are reported and summarized.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112494"},"PeriodicalIF":1.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146075159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"C3I-SynMicrosaccade: A pipeline and dataset for microsaccade recognition using neuromorphic event camera streams","authors":"Waseem Shariff ,&nbsp;Timothy Hanley ,&nbsp;Maciej Stec ,&nbsp;Hossein Javidnia ,&nbsp;Peter Corcoran","doi":"10.1016/j.dib.2026.112491","DOIUrl":"10.1016/j.dib.2026.112491","url":null,"abstract":"<div><div>This article presents a C3I-SynMicrosaccade dataset: a synthetic microsaccade dataset designed to enable event-based modelling and classification of microsaccadic eye movements. Using Blender, we generated high-resolution RGB sequences of microsaccades, characterized by small, transient eye rotations around a fixed head pose. Each microsaccade follows a horizontal-boomerang-like trajectory, simulating the natural back-and-forth displacement of the eye during visual fixation. Seven distinct angular classes, ranging from 0.5° to 2.0°, capture varying motion amplitudes while maintaining consistent scene, lighting, and texture conditions. The rendered RGB frames were converted into event-based data streams using the v2e simulator, which replicates the asynchronous behaviour of neuromorphic vision sensors. Temporal durations and event counts were carefully controlled and resampled to ensure class balance and eliminate bias toward motion magnitude. The resulting dataset comprises 175,000 event sequences (87,500 per eye), providing a large-scale, balanced foundation for microsaccade recognition, neuromorphic vision research, and synthetic-to-real transfer learning. This work offers a controlled, reproducible framework for studying fixational eye movements and evaluating event-based algorithms under fine motion dynamics.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112491"},"PeriodicalIF":1.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146075161","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Creep reference data of single-crystal Ni-based superalloy CMSX-6","authors":"Luis Ávila Calderón ,&nbsp;Sina Schriever ,&nbsp;Ying Han ,&nbsp;Jürgen Olbricht ,&nbsp;Pedro Dolabella Portella ,&nbsp;Birgit Skrotzki","doi":"10.1016/j.dib.2025.112436","DOIUrl":"10.1016/j.dib.2025.112436","url":null,"abstract":"<div><div>The article presents creep data for the single-crystal, [001]-oriented nickel-based superalloy CMSX-6, tested at a temperature of 980 °C under initial stresses ranging from 140 MPa to 230 MPa. The constant-load creep experiments were performed in accordance with DIN EN ISO 204:2019–4 standard within an ISO 17025 accredited laboratory. A total of 12 datasets are included, each of which includes the percentage creep extension as a function of time. The data series and associated metadata were systematically documented using a data schema specifically developed for creep data of single-crystal Ni-based superalloys. This dataset serves multiple purposes: it can be used to compare with one's own creep test results on similar materials, to verify testing setups (e.g., by replicating tests on the same or comparable materials), to calibrate and validate creep models, and to support alloy development efforts.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112436"},"PeriodicalIF":1.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146036500","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dataset from the Indonesian adaptation of the center for epidemiologic studies depression scale for emerging adults","authors":"Novia Cuyanto,&nbsp;Esther Widhi Andangsari","doi":"10.1016/j.dib.2026.112479","DOIUrl":"10.1016/j.dib.2026.112479","url":null,"abstract":"<div><div>This article describes a dataset generated from the Indonesian adaptation of the Center for Epidemiologic Studies Depression Scale (CES-D). The dataset consists of responses collected from 236 emerging adults aged 18–29 years residing in Greater Jakarta, Indonesia, of which 221 valid responses were retained after applying eligibility criteria. The instrument was translated and culturally adapted following international guidelines, including forward-backward translation and expert review to ensure conceptual and linguistic equivalence. The dataset includes responses to 20 self-report items assessing depressive symptoms, demographic information (age, gender, education), and statistical outputs derived from reliability and validity analyses. Confirmatory Factor Analysis (CFA) was conducted with indices including Chi-square (χ²), Root Mean Square Error of Approximation (RMSEA), Comparative Fit Index (CFI), and Standardized Root Mean Square Residual (SRMR). Reliability measures include Cronbach’s alpha (α) and composite reliability coefficients.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112479"},"PeriodicalIF":1.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146036498","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Cadenza lyric intelligibility prediction (CLIP) dataset","authors":"Gerardo Roa-Dabike ,&nbsp;Trevor J. Cox ,&nbsp;Jon P. Barker ,&nbsp;Bruno M. Fazenda ,&nbsp;Simone Graetzer ,&nbsp;Rebecca R. Vos ,&nbsp;Michael A. Akeroyd ,&nbsp;Jennifer Firth ,&nbsp;William M. Whitmer ,&nbsp;Scott Bannister ,&nbsp;Alinka Greasley","doi":"10.1016/j.dib.2026.112466","DOIUrl":"10.1016/j.dib.2026.112466","url":null,"abstract":"<div><div>This paper presents CLIP, a dataset of 11,072 popular western music signals sourced from independent artists, accompanied by ground truth lyrics, and lyric intelligibility scores from listening tests. The dataset is designed to facilitate music information retrieval (MIR) research using machine learning. It was created to allow the development of algorithms to predict lyric intelligibility for the Cadenza ICASSP 2026 Signal Processing Grand Challenge. Currently, it is the only publicly available large-scale dataset for such a task. The music was sourced from the Free Music Archive (FMA) dataset and is unlikely to be familiar to listeners. We excluded tracks whose license did not allow derivative works and those that did not have English singing. Ground truth transcriptions were generated by seven native English speakers, resulting in 3700 excerpts of 5 to 10 words each from 1452 different songs. A hearing loss simulation was also applied to the stereo audio. This resulted in 11,100 music signals with no, mild or moderate hearing loss. This was done so more diverse hearing is represented in the dataset. Human transcriptions were then collected via an online listening experiment. Participants self-reported as having normal-hearing and being native English speakers. They listened to each music signal twice before transcribing each line. Final intelligibility scores were the ratio of matching words between the listening test responses and the ground truth transcriptions. The final dataset consists of audio, ground truth lyrics, intelligibility scores and associated metadata.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112466"},"PeriodicalIF":1.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146036497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The DISCOURSE in psychosis (London Ontario): A speech dataset to examine communication disturbances in early-stage psychosis","authors":"Brian Cho ,&nbsp;Estée Balles ,&nbsp;Michael Mackinley ,&nbsp;Paulina Dzialoszynski ,&nbsp;Sabrina Ford ,&nbsp;Rohit Lodhi ,&nbsp;Lena Palaniyappan","doi":"10.1016/j.dib.2026.112517","DOIUrl":"10.1016/j.dib.2026.112517","url":null,"abstract":"<div><div>Advances in speech technology and Natural Language Processing (NLP) have demonstrated promise in using speech as a valid source of data to detect features of psychosis. These technologies can potentially detect subtle speech aberrations that often go unnoticed by clinicians and family members. However, research in this area is hindered by a significant limitation: a lack of sufficient and appropriate speech corpora from psychosis patients, especially datasets containing naturalistic speech that reflects typical clinical interactions. This scarcity limits the development, testing, and generalization of new computational methods for psychosis prediction. To address this gap, our new dataset offers naturalistic speech samples collected using the semi-structured DISCOURSE protocol. This resource includes both raw audio recordings and transcribed speech from individuals participating in an early-stage psychosis treatment program (&lt;5 years of illness), alongside demographically matched healthy controls, in English. In addition to speech data, the dataset provides comprehensive clinical, cognitive, and demographic information for each participant. Importantly, the DISCOURSE protocol and clinical assessments were repeated after a 12-month follow-up to assess stability and change in speech, symptom burden and functional status. As the inaugural dataset released by the DISCOURSE consortium, this resource marks the beginning of a series of harmonized data collection efforts across multiple countries and languages. This multi-site, multi-language approach enables validation of findings in diverse psychosis populations, allowing researchers to address questions that cannot be resolved at individual research sites. Transcripts were extracted from conversations lasting between 15 and 35 minutes in total. This data herein can be used to perform analyses on acoustic, semantic, syntactic and pragmatic measures related to psychosis, as well as in understanding the nature of communication difficulties faced by patients. We expect this dataset to be useful for future investigations into speech data’s clinical utility in assessing thought disorder and psychosis-related symptoms.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112517"},"PeriodicalIF":1.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal FM–SEM dataset with millimetre-scale field of view for bundle-scale porosity and impregnation quantification in woven GFRP/PP composites","authors":"Abderrahmane Ayadi,&nbsp;Sujith Kumar Sidlipura Ravi Kumar,&nbsp;Mylène Deléglise Lagardère","doi":"10.1016/j.dib.2026.112521","DOIUrl":"10.1016/j.dib.2026.112521","url":null,"abstract":"<div><div>A curated multimodal microscopy dataset is presented for statistical quantification of through-thickness, bundle-scale impregnation and porosity—defined as non-filled regions within bundle cross-sections—in woven glass-fibre/polypropylene (GF/PP) laminates. The dataset spans three controlled compaction ratios (Cr = 0 %, 30 %, 41 %), providing a structured basis for investigating processing–microstructure relationships in thermoplastic composites and addressing limitations of 2D single-modality analyses of partially impregnated materials. Large-area cross-sections were prepared post-processing using a fluorescence-enriched epoxy mount and a multi-step polishing protocol tailored to partially impregnated thermoplastics, then imaged by fluorescence microscopy (FM), polarized light microscopy (PLM) and backscattered-electron scanning electron microscopy (SEM–BSE). Overlapping tiles were stitched into millimetre-scale extended-field images that still resolve individual filaments and were rigidly registered to form aligned FM/PLM/SEM stacks across the full laminate thickness. Detailed procedures for sample manufacturing, surface preparation, polishing and quantitative analysis are provided in a companion research article by the same authors [<span><span>1</span></span>]. The core quantitative products are extended-field FM and SEM images with associated five-class Random Forest segmentation maps, trained on image-derived intensity features to distinguish phase- and porosity-related classes (including glass fibres, matrix and void-rich regions), while PLM primarily documents surface state and polishing quality. For bundle-scale analysis, &gt;15 complete fibre bundles oriented perpendicularly to the polishing plane (0°-oriented) are extracted and systematically labelled per extended-filed image. For each bundle, the dataset provides paired FM/SEM crops, corresponding segmented images, and binary masks for void-limited masks, bundle outlines and the glass-fibre phase. The companion research article reports per-bundle quantitative metrics, whereas the present data paper describes the dataset structure and known limitations, including large image sizes, residual SEM brightness drift, exclusion of bundles with pronounced stitching artefacts, and the non-linear response of dye infiltration to porosity. The full dataset, including raw and processed image products, is available in the public repository <em>Recherche Data Gouv</em> [<span><span>2</span></span>]. To the best of current knowledge, this is the first publicly available FM/SEM multimodal dataset at single-fibre resolution over millimetre-scale fields of view for thermoplastic composite microstructures, providing a benchmark resource for registration, segmentation and impregnation-quantification methods.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112521"},"PeriodicalIF":1.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Experimental data collected during quasi-static cyclic loading of mass timber lateral force-resisting system tested in a three-story building structure","authors":"Nicholas T. Thielsen ,&nbsp;Arijit Sinha ,&nbsp;Andre R. Barbosa ,&nbsp;Barbara G. Simpson ,&nbsp;Daniel Cheney","doi":"10.1016/j.dib.2026.112558","DOIUrl":"10.1016/j.dib.2026.112558","url":null,"abstract":"<div><div>The Emmerson Lab Launch Initiative (ELLI) was a multi-experiment testing program designed to evaluate the structural performance of mass timber lateral force-resisting systems (LFRS) under cyclic quasi-static loading protocols. The testing program was also designed to showcase, to their fullest potential, the testing capabilities of the A.A. “Red” Emmerson Advanced Wood Products Laboratory at Oregon State University in Corvallis, Oregon, USA (operational since 2020). This paper describes the static and visual data associated with one ELLI experiment comprised of two experiments. The paper also describes the value of the data and its collection process. In both experimental events, the test the gravity system of the test building sub-assemblage consisted of mass ply panel (MPP) diaphragms and out-of-plane walls, laminated veneer lumber (LVL) beams and columns, steel bolted gravity connections, and screwed connections. In the first experimental event, the test building structure did not include a dedicated LFRS separate from its gravity system. In the second experimental event, the test building structure included a self-centering rocking wall as the LFRS that consisted of veneer laminated timber (VLT) panels coupled by U-shaped flexural plate (UFP) energy dissipators with vertical post-tensioned (PT) rods and a horizontal tying system. The data associated with the two experimental events were used to evaluate performance-based seismic design objectives and validate the direct displacement-based method used in the lateral design of the structural system, which are described in <em>Cyclic Testing of Three-Story Mass Timber Building Structure with Self-Centering Rocking Walls Coupled by UFP Dissipators</em>. The dataset includes construction drawings and instrumentation plans of the test building structure as references for data collection and analysis. The dataset also includes displacement, strain, force, photograph, and time-lapse video data that collectively represent the structural behavior of the test building structure and its key components, and they are accessible through Mendeley Data with DOI: 10.17632/v6cs4t4zxc.1. This article complements the associated thesis and research publications by providing a peer-reviewed, standardized, and citable documentation of the experimental dataset, focused exclusively on data generation, structure, processing, limitations, and reuse, without duplicating analytical interpretation or conclusion.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"65 ","pages":"Article 112558"},"PeriodicalIF":1.4,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146185075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}