Data in Brief最新文献

{"title":"A spatially disaggregated dataset of workplace locations in Warsaw for 2015 and 2025","authors":"Sławomir Goliszek","doi":"10.1016/j.dib.2025.112113","DOIUrl":"10.1016/j.dib.2025.112113","url":null,"abstract":"<div><div>This article presents a 100 square meters spatially disaggregated dataset of workplace locations in Warsaw for the years 2015 and 2025. The dataset was created by integrating employment data from the Warsaw Traffic Survey (WTS) 2015 with high-resolution geospatial data from the Global Human Settlement Layer (GHSL, R2023), taking into account areas with missing data from OpenStreetMap (OSM). In 2015, WTS reported 804,760 workplaces in 800 transport zones. To enable fine-scale analysis, these values were redistributed to a 100 m GHSL grid using non-residential built-up volume and height as allocation factors. Areas without employment, such as parks, cemeteries, airport runways, the Vistula river, and water areas, were excluded using OSM data.</div><div>The 2025 dataset by updating the 2015 distribution with changes in non-residential built-up volume between 2015 and 2025, as well as incorporating newly constructed skyscrapers not included in GHSL 2018 height data. The result is two harmonised datasets representing workplace distribution across Warsaw at 100 m resolution. These datasets provide valuable input for studies of urban accessibility, transport equity, and land-use–transport interactions, and the methodological framework can be replicated in other urban contexts.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"63 ","pages":"Article 112113"},"PeriodicalIF":1.4,"publicationDate":"2025-09-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218702","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 of AI adoption usage, expectations, attitudes, perceptions, and motivations for learning in higher education","authors":"Zaky Farid Luthfi ,&nbsp;Wibowo Heru Prasetiyo ,&nbsp;Beti Indah Sari ,&nbsp;Atri Waldi ,&nbsp;Arief Muttaqiin","doi":"10.1016/j.dib.2025.112106","DOIUrl":"10.1016/j.dib.2025.112106","url":null,"abstract":"<div><div>This dataset presents the use of artificial intelligence (AI) among university students as a tool for completing academic tasks. A total of 535 data points were collected from students participating in an online survey conducted across 152 universities and 20 provinces in Indonesia. The dataset includes demographic information, educational level, field of study, and the types of AI tools used. It also captures students' use of AI, including performance expectations, challenges in using AI, attitudes toward AI use, perceptions of AI, and motivational intent to use AI. All collected data are described according to the results of descriptive statistical analysis, which aims to both describe and explore the relationships between the constructs. Moreover, this dataset offers significant potential for reuse and further comparative studies for researchers interested in the application of AI in academic contexts. It can serve as a reference for future investigations into the potential determinants influencing AI use in higher education settings. Potential applications include the development of advanced AI tool features tailored to students' specific characteristics and usage priorities.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"63 ","pages":"Article 112106"},"PeriodicalIF":1.4,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218700","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":"Data on mechanical and thermal properties of an amine-epoxy system at various post-curing temperatures","authors":"Alex Tamayo-Aguilar ,&nbsp;Víctor H. Guerrero ,&nbsp;Patricia I. Pontón ,&nbsp;Marco V. Guamán","doi":"10.1016/j.dib.2025.112109","DOIUrl":"10.1016/j.dib.2025.112109","url":null,"abstract":"<div><div>The aim of this work is to provide a manufacture guide for producing a tailor-made amine-epoxy system that can operate at different services temperatures depending on the post-curing treatment. Therefore, a data set compilation of the mechanical and thermal properties of a commercial thermoset system (Epikure 3223 amine/Epon 828 epoxy) was obtained after exposure to a room temperature cure followed by different post-cures (80, 100, 120 °C), all below the fully cured glass transition temperature (T_g∞ ∼ 153 °C). The mechanical properties of this epoxy system were determined through dynamic mechanical analysis (DMA) and flexural testing, while its thermal behavior was evaluated by differential scanning calorimetry (DSC), thermomechanical analysis (TMA), and thermogravimetric analysis (TGA). The data was analyzed using analysis of variance (ANOVA) to assess if the selected post-curing temperatures provoke a statistically significant difference on the corresponding properties. This data highlights the importance of selecting an adequate post-curing process to extend the temperature range of the glassy state, ensuring reproducible mechanical and thermal properties up to temperatures close to T_g∞, which is key for high temperature applications in automotive, aeronautic, aerospace and construction. Furthermore, this approach guarantees that the curing kinetics would no longer influence the thermal history of this epoxy system.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"63 ","pages":"Article 112109"},"PeriodicalIF":1.4,"publicationDate":"2025-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218805","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":"Data for assigning a proxy variable for office worker in open-ended responses on occupation in Swedish questionnaires","authors":"Annika Tillander ,&nbsp;Susanna Lehtinen-Jacks ,&nbsp;Nisha Singh ,&nbsp;Oskar Halling Ullberg ,&nbsp;Ulrika Florin ,&nbsp;Katarina Bälter","doi":"10.1016/j.dib.2025.112105","DOIUrl":"10.1016/j.dib.2025.112105","url":null,"abstract":"<div><div>In numerous research disciplines, including epidemiology, it is common to compare different occupational categories, such as office workers and non-office workers. When only self-reported occupation titles are available, it is necessary to categorize individuals based on their self-reported titles. Thus, the possibility to identify office workers via self-reported occupation titles can enhance research on the health and well-being of office workers in large population-based epidemiological studies, even without specific questions about office work.</div><div>This paper introduces data and R code that can be used to assign a proxy variable for office worker based on responses to an open-ended question (OEQ) about occupation in Swedish questionnaires. The proxy variable is based on the Swedish Standard Classification of Occupations 2012 (SSYK 2012), which includes 8946 occupation titles. Using a translation key, the titles have been categorized into three groups: managers, white-collar workers, and blue-collar workers. White-collar workers (including managers) are considered office workers, while blue-collar workers are classified as non-office workers. The proxy variable has been refined using pilot data from the Swedish population-based epidemiological resource LifeGene.</div><div>The R code, together with the proxy variable, can be used in any dataset with a Swedish OEQ about occupation, facilitating the categorization of respondents as either white-collar or blue-collar workers and serving as a proxy variable for office worker. The R code can be used for OEQs regardless of language, provided there is a dataset with a standard classification of occupation in the desired language.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"63 ","pages":"Article 112105"},"PeriodicalIF":1.4,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218806","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":"Raw fetal PCG dataset contaminated with Mother’s PCG","authors":"Tasfia Hasan Faiza,&nbsp;Muhammad Sajid Hossain,&nbsp;Samara Islam,&nbsp;Nazmus Sakib,&nbsp;Tasnuva Faruk,&nbsp;Md. Kafiul Islam","doi":"10.1016/j.dib.2025.112107","DOIUrl":"10.1016/j.dib.2025.112107","url":null,"abstract":"<div><div>This article presents a dataset of raw fetal phonocardiogram (fPCG) signals that naturally include contamination from maternal heart sounds. Recordings were conducted with eight pregnant participants, most of whom were at 36 weeks or later gestation, and one participant at 32 weeks. The data were collected in the Biomedical Instrumentation and Signal Processing Laboratory at Independent University, Bangladesh, using a simple non-invasive device: a stethoscope coupled with a microphone. At the same time, Doppler ultrasound and a pulse oximeter were used to obtain reference values of the fetal and maternal heart rates. For the second recording batch, the oxygen saturation of the mother was also measured. Each participant contributed either two or three one-minute sessions, with 10-second breaks between sessions. Three patients were included in the first batch (two sessions each) and five in the second batch (three sessions each). File names were given systematically to indicate the batch, patient, and session (for example, B1_P1_S1). The audio was first stored in AAC format and later converted to MATLAB (.mat) and CSV (.csv) formats. The CSV files also contain anonymized demographic details, as well as notes on stethoscope placement. The dataset is intended for use in studies of fetal heart activity where signal overlap, background noise, and variability in stethoscope placement are real challenges. It is openly available through the Mendeley Data repository in standard formats. Researchers in biomedical signal processing, fetal monitoring, and related fields can use these data to test algorithms for heart sound separation, denoising, and other advanced processing tasks.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"63 ","pages":"Article 112107"},"PeriodicalIF":1.4,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218705","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":"Updating [Nutritional composition dataset of approved infant formula powder in China (2017–2024)] with [Nutritional composition dataset of approved older infant formula powder in China (2017–2024)]","authors":"Jun Cai ,&nbsp;Shuguang Li ,&nbsp;Qing Wei,&nbsp;Hong Wang,&nbsp;Yaguang Jiang,&nbsp;Jiao Jiao","doi":"10.1016/j.dib.2025.112102","DOIUrl":"10.1016/j.dib.2025.112102","url":null,"abstract":"<div><div>Older infant formula powder, which can meet some of the nutritional needs of infants aged 6 to 12 months, is suitable for normal older infants. In this context, China has established a stringent registration-based regulatory system for infant formula products, requiring mandatory pre-market approval and comprehensive evaluation of all formulations before commercialization. The primary objective of this dataset was the comparative profiling of nutrient content in domestic and imported older infant formula products. The complete registration dossiers of 786 older infant formula powder from 2017 to 2024, officially disclosed on the Special Food Information Query Platform of China's State Administration for Market Regulation (SAMR) were systematically retrieved and collected, and verified by the nutritional values on the product packing or on the websites of the different brands. The nutritional values are systematically presented for 100 kJ and 100 g of powder. The nutrient content in domestic and imported were also statistically calculated and presented, the analysis revealed general compliance with national standards with minor variations between domestic and imported products. This dataset can be applied as a tool for data-driven insights for older infant formula optimization, aligning with China's updated national standards for precise dietary management, or to assist Chinese consumers in selecting appropriate older infant formula milk powder products.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"63 ","pages":"Article 112102"},"PeriodicalIF":1.4,"publicationDate":"2025-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218807","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":"SWATH-MS proteomics data on differentially abundant proteins between normal and dark-cutting beef","authors":"Laura González-Blanco ,&nbsp;Mamen Oliván ,&nbsp;Yolanda Diñeiro ,&nbsp;Susana B. Bravo ,&nbsp;Verónica Sierra ,&nbsp;Mohammed Gagaoua","doi":"10.1016/j.dib.2025.112099","DOIUrl":"10.1016/j.dib.2025.112099","url":null,"abstract":"<div><div>Dark, firm, and dry (DFD) beef, also known as dark-cutting beef, lead to economic losses, food waste, and potential consumer rejection due to its very dark color at the point of sale. This condition is associated with a high ultimate pH, a limited blooming capacity, a redder cooked color that appears undercooked, and increased spoilage rates. Although several pre-slaughter factors have been linked to high ultimate pH, the mechanisms underlying DFD beef remain complex, multifactorial and not yet fully understood [1]. Proteomic approaches on <em>post-mortem</em> muscles have increasingly been employed to unravel the molecular mechanisms and biological pathways underlying this quality defect and to identify candidate protein biomarkers for its early prediction or better characterization using explanatory models. In this study, SWATH-MS proteomics, a data-independent acquisition strategy, was applied for the first time for an in-depth characterization and quantification of <em>post-mortem</em> muscle proteomes. The analysis was conducted using the most extensive dataset available to date on this quality defect conditions, which included 26 DFD beef samples (pH₂₄ ≥ 6.2) and 26 CONTROL samples (5.4 ≤ pH₂₄ ≤ 5.6). Muscle samples from the <em>Longissimus thoracis et lumborum</em> of <em>Asturiana de los Valles</em> yearling bulls were collected at 24 h <em>post-mortem</em> to investigate protein expression differences associated with DFD beef condition. A total of 735 proteins were quantified, among which 35 exhibited a significant difference in their abundances between the DFD condition and CONTROL samples, suggesting their potential as putative biomarkers for DFD beef.</div><div>The data provided in this article can facilitate further research into beef quality defects and are available for reuse and/or reprocess and/or integration to support the development of early prediction tools for DFD beef. These data could further contribute to previous integrative studies [1], in the frame of integromics. Those approaches aimed combining multiple public proteomics datasets and DFD proteomics studies in a unique repository with the ultimate objective of refining the selection of dark-cutting beef biomarkers and deepen our understanding on the underlying biological mechanisms, hence revealing novel patterns inaccessible from individual datasets [1]. A more detailed analysis of this dataset is available in the study published by González-Blanco et al. [2]. The mass spectrometry (MS) proteomics data generated using a sequential window acquisition of all theoretical mass spectra (SWATH-MS) have been deposited to the ProteomeXchange Consortium (<span><span>http://proteomecentral.proteomexchange.org</span><svg><path></path></svg></span>) via the PRIDE partner repository [3] with the dataset identifier PXD059876.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"63 ","pages":"Article 112099"},"PeriodicalIF":1.4,"publicationDate":"2025-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218689","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":"Data-driven analysis of photocatalytic degradation of pararosaniline using green synthesized SrO nanoparticles","authors":"Neelam Patil Radhika ,&nbsp;Malini S ,&nbsp;Shobha G ,&nbsp;Kalyan Raj ,&nbsp;Shylaja K R ,&nbsp;Abhishek Appaji","doi":"10.1016/j.dib.2025.112096","DOIUrl":"10.1016/j.dib.2025.112096","url":null,"abstract":"<div><div>Pararosaniline is an extensively used carcinogenic dye whose presence in waterbodies poses serious health risk and hence its photocatalytic degradation is an environmentally relevant dataset. The data reported here highlights the synthesis, characterization and kinetics involved in photocatalytic behaviour of SrO during the degradation of cationic triarylmethane dye pararosaniline. SrO nanoparticles were synthesized by using Plant extract as green fuel from Leucas Aspera and characterized by X-ray diffractometers (XRD), Field emission scanning electron microscopes (FESEM), Fourier transform infrared (FTIR), and UV/vis spectrometer. XRD confirmed the crystalline character of SrO matching with JCPDS database card no. 06–520, FESEM shows the presence of nano-rod like structure with rounded edges having average particle size between 23.20nm–95 nm and FTIR confirming the stretching and bending vibrations of Sr-O bond. The Degradation of pararosaniline was spectrophotometrically examined in the presence of sun light by varying catalyst concentration, dye dosage and pH within 60 min. The highest degradation efficiency 89 % of Pararosaniline was obtained at pH=12 with concentration of catalyst 50 mg and concentration of dye 10 ppm. These findings show the potential application of synthesized SrO nanoparticles for environmental remediation.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"63 ","pages":"Article 112096"},"PeriodicalIF":1.4,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218703","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":"SpiceSpectrum: Class-balanced dataset of commercially valuable spice cultivars","authors":"Md. Noushad Jahan Ramim,&nbsp;Samira Islam,&nbsp;Muhtasin Towkir,&nbsp;Md Mubtasim Fuad,&nbsp;Noor Mairukh Khan Arnob","doi":"10.1016/j.dib.2025.112097","DOIUrl":"10.1016/j.dib.2025.112097","url":null,"abstract":"<div><div>This data paper introduces a comprehensive visual dataset of 11 globally significant spices, comprising 11,000 high-quality images curated to support research and applications in agriculture, trade, and culinary arts. The dataset features the following spices: Black Pepper, Cardamom, Cinnamon, Cloves, Coriander, Cumin, Ginger, Nutmeg, Paprika, Saffron, and Turmeric, selected for their economic importance, medicinal value, and widespread culinary use across global cuisines. Images were collected from Bangladesh, capturing diverse lighting conditions, backgrounds, natural textures, packaging styles, and multiple angles to reflect real-world scenarios. Stored in JPG format at a standardized 512 × 512 pixel resolution, the dataset is organized into dedicated folders with 1000 images per spice, ensuring consistency and ease of use. This resource is designed to facilitate machine learning and computer vision applications, such as spice recognition, classification, and quality assessment, as well as AI-driven tools for agricultural analysis and trade monitoring. By providing a robust and diverse visual dataset, this collection aims to advance research and to assist innovation in the global spice industry.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"63 ","pages":"Article 112097"},"PeriodicalIF":1.4,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218709","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":"Thalassemia dataset covering clinical, socioeconomic, and mental health aspects","authors":"Shahriar Siddique Ayon ,&nbsp;Md. Ebrahim Hossain ,&nbsp;Md. Saef Ullah Miah ,&nbsp;B. M. Mredul Arafin ,&nbsp;Antara Chowdhury ,&nbsp;Nuzhat Noor Islam Prova","doi":"10.1016/j.dib.2025.112082","DOIUrl":"10.1016/j.dib.2025.112082","url":null,"abstract":"<div><div>Thalassemia is an inherited disorder of haemoglobin formation that requires lifelong blood transfusions and iron removal and brings both medical and emotional challenges. This dataset contains detailed information on 617 patients with thalassemia treated at a leading diagnostic centre in Pabna, Bangladesh. Demographic and socioeconomic data were gathered through face-to-face interviews, including age, gender, place of residence (urban or rural), education level, monthly household income, travel time to hospital, and how thalassemia affects school or work life. Clinical details, such as the type of thalassemia, age at diagnosis, whether the spleen was removed, transfusion frequency, the iron chelation plan, and how well patients adhered to it were taken from medical records. Laboratory results from the hospital’s central lab include pre transfusion haemoglobin, serum ferritin, red blood cell indices, reticulocyte count, and foetal haemoglobin percentage. Patients also rated their recent mental health as good or bad. Each record is assigned a unique code and stored in a single CSV file with twenty-three variables. The combination of medical, laboratory, social, and psychological information can support many uses, from building machine learning models to predict transfusion needs or therapy adherence to studying factors that drive health disparities and designing more patient centred care plans.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"63 ","pages":"Article 112082"},"PeriodicalIF":1.4,"publicationDate":"2025-09-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145218706","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}