Data in Brief最新文献

{"title":"High-Resolution Datasets for Urban Heat Vulnerability Assessment in Urbanized Areas of the Netherlands","authors":"Maha M. Habib ,&nbsp;Marjolein van Esch ,&nbsp;Maarten van Ham ,&nbsp;Wim J. Timmermans","doi":"10.1016/j.dib.2025.111525","DOIUrl":"10.1016/j.dib.2025.111525","url":null,"abstract":"<div><div>The urban heat island effect is increasingly affecting the quality of life in cities, and detailed data is crucial in designing mitigation policies. However, weather stations are predominantly situated outside urban environments, limiting their ability to represent the varying air temperatures within street canyons. This data paper addresses this limitation by presenting a dataset of the modeled daily maximum Urban Heat Island (UHI_max) effect across 99 Dutch municipalities during the summer of 2023. This is achieved by implementing a semi-empirical equation which incorporates readily available meteorological variables and two key urban morphological indicators, namely the sky view factor and fractional vegetation cover. Two primary datasets are presented: (1) a high-resolution dataset of modeled UHI_max, and (2) a Sky View Factor dataset. Both datasets are provided in GeoTIFF format at a 5-meter spatial resolution. Additionally, this paper presents a straightforward methodology for obtaining UHI_max values for other periods. The datasets and accompanying methodology provide valuable resources for advancing urban climate research, urban planning, and heat mitigation strategies in the Netherlands.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111525"},"PeriodicalIF":1.0,"publicationDate":"2025-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Bangladesh road traffic sign dataset in real-world images for traffic sign recognition","authors":"Md. Ariful Islam,&nbsp;Dewan Md. Farid","doi":"10.1016/j.dib.2025.111523","DOIUrl":"10.1016/j.dib.2025.111523","url":null,"abstract":"<div><div>Traffic sign detection and classification have significant impacts in the field of automated driving system, traffic management, driver assistance system, to detect traffic rules violations etc. In this paper, we have presented the Bangladesh road traffic sign benchmark dataset, which consists of 10259 real-world traffic sign images captured from various locations in Bangladesh and 10259 annotated images. A Total of 31 distinct traffic sign images were collected including Crossroad, Emergency Stopping, Sharp left turn. For image annotation, a sophisticated tool, Roboflow, has been utilized and data augmentation techniques have been applied to enhance the diversity of the images. The dataset is useful for training and testing of any deep convolutional neural networks (CNNs) models for traffic sign recognition. The dataset is publicly accessible via the following link: <span><span>https://zenodo.org/records/14969122</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111523"},"PeriodicalIF":1.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143783873","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart Agriculture Dataset in a Tomato Cultivation under Different Irrigation Regimes","authors":"Laura Belli ,&nbsp;Luca Davoli ,&nbsp;Giulia Oddi ,&nbsp;Luca Preite ,&nbsp;Martina Galaverni ,&nbsp;Tommaso Ganino ,&nbsp;Gianluigi Ferrari","doi":"10.1016/j.dib.2025.111521","DOIUrl":"10.1016/j.dib.2025.111521","url":null,"abstract":"<div><div>This dataset contains data collected in a tomato cultivation (namely, a Solanum lycopersicum L. cv. HEINZ 1301 cultivation) located at the “Azienda Sperimentale Stuard,” Parma, Italy, through an IoT infrastructure featuring Long Range Wide Area Network (LoRaWAN)-enabled commercial devices deployed in the crop during the summer 2023 period (June 29–September 13). The IoT architecture also controls the irrigation system deployed to manage the watering conditions in the tomato crop, in detail considering three different experimental lines (each one associated with a different irrigation regime): (i) line #1 was irrigated with a water quantity equal to the irrigation recommendation provided by a national cloud service, denoted as Irriframe and developed by the Water Boards Italian Association (ANBI); (ii) line #2 was irrigated with a water quantity equal to 60% of line #1; (iii) line #3 was irrigated with a water quantity equal to 30% of line #1. The dataset comprises 4 different CSV files. The first three files (named as “stuard_environmental_data.csv,” “stuard_water_meter_data.csv,” and “stuard_soil_data.csv”) contain the information sampled every 10 minute by the IoT devices deployed in the crop—one environmental sensor, three water meters, and three soil sensors. The fourth CSV file (named as “indicators.csv”) contains the values of agronomic indicators of interest, calculated daily and mainly depending on daily air temperature values: (i) the Growing Degree Days (GDD) index and (ii) the Heat Units indicators, both calculated on the collected experimental tomato crop data.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111521"},"PeriodicalIF":1.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777516","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-resolution bathymetric survey dataset of Yesik Lake, Kazakhstan: New insights into the morphology of the mountain water body","authors":"Kanat Samarkhanov ,&nbsp;Nurlybek Zinabdin ,&nbsp;Damir Amantayev ,&nbsp;Arman Kabdeshev ,&nbsp;Murat Muzdybaev ,&nbsp;Aigerim Amantai ,&nbsp;Kairat Abdrakhmanov ,&nbsp;Aigerim Nurmagambetova ,&nbsp;Alua Zhukenova ,&nbsp;Aliya Kaisanova","doi":"10.1016/j.dib.2025.111504","DOIUrl":"10.1016/j.dib.2025.111504","url":null,"abstract":"<div><div>This dataset provides high-resolution bathymetric data for Yesik Lake, in southeast Kazakhstan's Tien Shan Mountain range. A bathymetric survey was undertaken from September 9 to 12, 2024, using a Lowrance ELITE Ti 9 multibeam sonar placed on a small vessel.</div><div>The dataset comprises a digital elevation model (DEM) of the lakebed with a resolution of 1 meter, together with supplementary metadata.</div><div>The supplied data facilitates comprehensive mapping of the lake's underwater topography, encompassing details on the substrate's depths, gradients, and morphological characteristics. This dataset applies to diverse research in limnology, hydrology, geomorphology, and the ecology of alpine water bodies.</div><div>The data provides a crucial basis for examining sedimentation processes, evaluating water resources, and modeling the ecosystem of Yesik Lake.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111504"},"PeriodicalIF":1.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143777519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A catchment-scale dataset of soil properties and their mid-infrared spectra","authors":"Alexandre M.J.-C. Wadoux ,&nbsp;Felix Stumpf ,&nbsp;Thomas Scholten","doi":"10.1016/j.dib.2025.111510","DOIUrl":"10.1016/j.dib.2025.111510","url":null,"abstract":"<div><div>The dataset presents information on soil properties and their associated mid-infrared spectra for a drainage basin of 4.2 km², referred to as Upper Badong catchment (31°1′24′′N, 110°20′35′′E) in the Hubei province, China. Data were collected for topsoil in a highly diverse terrace catchment composed of woodland, cropland and small farm building. Soil properties included in this dataset are pH, texture (i.e. clay, silt and sand content), total carbon, organic carbon and CaCO₃. In addition, the soil samples were scanned in the mid-infrared range. The data collection processed involved three field campaigns during 2013 and 2014 where topsoil samples were collected in a standardized way across all sites, and soil analyses in the laboratory of soil science following standard procedures. The dataset offers insights into the spatial variation of soil properties in a highly diverse catchment of central China. Researchers interested in soil research can use this dataset for various purposes, including building digital soil mapping models or soil spectroscopic models, benchmarking of models with other datasets, and research in soil erosion modelling.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111510"},"PeriodicalIF":1.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-precision U-Pb data and reference age for Emerald Lake apatite","authors":"Francisco E. Apen ,&nbsp;Sean P. Gaynor ,&nbsp;Blair Schoene","doi":"10.1016/j.dib.2025.111464","DOIUrl":"10.1016/j.dib.2025.111464","url":null,"abstract":"<div><div>New isotope dilution thermal ionization mass spectrometry U-Pb data for Emerald Lake apatite demonstrate its potential as a reference material for geochronology. A three-dimensional ²³⁸U/²⁰⁶Pb-²⁰⁷Pb/²⁰⁶Pb-²⁰⁴Pb/²⁰⁶Pb isochron produces a 95.2 ± 1.1 Ma date with an initial Pb isotopic composition of ²⁰⁶Pb/²⁰⁴Pb = 18.85 ± 0.19 and ²⁰⁷Pb/²⁰⁴Pb = 15.68 ± 0.10 (n = 5, MSWD = 9.5). These data yield a weighted mean initial Pb-corrected ²⁰⁶Pb/²³⁸U date of 95.18 ± 0.10 Ma (n = 5, MSWD = 1.5) and a weighted mean initial Pb-corrected ²⁰⁷Pb/²³⁵U date of 95.20 ± 0.17 Ma (n = 5, MSWD = 0.5). The new high-precision U-Pb age of Emerald Lake apatite further enables its utility as a reference material for <em>in situ</em> U-Pb apatite geochronology. Aliquots of Emerald Lake apatite are available for distribution for use in future studies.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111464"},"PeriodicalIF":1.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Soil suction dataset from a lime & cement treated embankment, from 2010 to 2023","authors":"Yasmina Boussafir ,&nbsp;Dimitri Mercadier ,&nbsp;Christophe Piquet","doi":"10.1016/j.dib.2025.111506","DOIUrl":"10.1016/j.dib.2025.111506","url":null,"abstract":"<div><div>An experimental embankment was built in 2010 in the frame of TerDOUEST Project [1]. Treated silt and clay from the site near Héricourt in France, were used in four sections approximately 50 meters length, and 5 meters high. The first meter at the base of the embankment is buried in the soil, below the ground, to study soil-water table interaction. In this site, a water table is located at approximately 1 to 2 meters depth and is registered with a piezometric probe. The last four meters of Héricourt embankment is above the ground level. The slope of this earth structure is V1:H2. One side of the embankment, has been built with the Low Plastic silt classified A2 according to the French standard NF P11-300 [2], treated for one third with 2% of quick lime, and another third section with 3% of cement (previously CEMII). The last third section was not treated. The other side of the embankment used clay, considered as a Plastic Clay and classified A4 [2]; one third has been treated with 4% of quick lime, another third section, with 2% of quick lime and 3% of cement, and the last third was not treated. In each of the treated sections, sensors were buried at 0.25 - 0.50 and 0.75 m depth in the slope, recording volumetric water content and suction for soil-atmosphere interactions studies. Other sensors recorded the volumetric water content only, in the core of the embankment, its base and the platform [3]. All data are available from 2010 to 2023. A weather station recorded precise meteorological data from 2010 to 2013.</div><div>The goal of this real size embankment was to evaluate the sustainability of treated soils used in earth structures and to test the re-use of very plastic clay thanks to adapted soil treatment. After more than 10 years old, this structure is stable, even if intrinsec characteristics may evolve [4].</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111506"},"PeriodicalIF":1.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748421","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Manually classified dataset of leaning and standing personnel images for construction site monitoring and neural network training","authors":"Alexandre Almeida Del Savio ,&nbsp;Ana Luna Torres ,&nbsp;Daniel Cárdenas-Salas ,&nbsp;Mónica Vergara Olivera ,&nbsp;Gianella Urday Ibarra","doi":"10.1016/j.dib.2025.111516","DOIUrl":"10.1016/j.dib.2025.111516","url":null,"abstract":"<div><div>This data paper presents a manually labeled dataset of 1,214 images of personnel captured from a construction site using four static cameras. There are two classes, standing and people leaning. The classification is stored in accompanying text files and bounding box coordinates for every image. The compilation was done to support the developing and validation computer vision and AI models for construction site monitoring. This dataset addresses the challenges of finding personnel in different poses within complex construction environments. The resource will enhance construction site safety monitoring and personnel activity analysis by allowing more precise neural network training. The dataset is stored in a public repository, making it openly accessible for academic and industrial purposes regarding computer vision, civil engineering, and workplace safety.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111516"},"PeriodicalIF":1.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143715853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Teachers' perspectives on the current state of the development of Vietnamese junior secondary school students’ digital competence","authors":"Thi Phuong Dang,&nbsp;Thi Thao Bui,&nbsp;Dieu Quynh Bui,&nbsp;Quoc Anh Vuong,&nbsp;Thu Linh Kieu","doi":"10.1016/j.dib.2025.111507","DOIUrl":"10.1016/j.dib.2025.111507","url":null,"abstract":"<div><div>This dataset provides detailed information about lower secondary school teachers' perceptions and assessments of the current state of digital competency development for lower secondary school students in Vietnam. The dataset encompasses five main aspects from teachers' perspectives: (a) General teacher information, including province name, region, gender, age, years of service and educational qualifications, subjects currently teaching at school; (b) Teachers' understanding of digital competency and their assessment of the role of digital competency for students; (c) Conditions necessary to implement educational activities aimed at developing students' digital competency; (d) Current activities of teachers and schools (regarding the use of equipment, IT infrastructure, teaching methods, assessment activities); (e) Effectiveness of activities (regarding teaching methods, testing, assessment) aimed at developing digital competency for students. Data collection was conducted online via Google Forms from March 1-20, 2024, with the participation of 7415 lower secondary school teachers from thirteen provinces in Vietnam. This dataset aims to provide valuable detailed information for policymakers and educational administrators about the current context in schools regarding educational activities aimed at developing digital competency for lower secondary school students. Additionally, this dataset serves as a basis for proposing solutions to develop students' digital competency, while helping lower secondary schools have direction in strengthening support for teachers to participate in training and professional development aimed at developing digital competency for learners. Educational administrators and researchers can use this data to better understand pedagogical requirements such as teacher training and policy development related to students' digital competency development. Furthermore, this dataset can help educational technology developers understand the needs, readiness, and use of equipment and IT infrastructure in teaching to develop students' digital competency across subjects. Overall, this dataset is valuable in providing an overview from teachers' perspectives on the current state of teaching aimed at developing digital competency for students in lower secondary schools for school leaders and educational policymakers in developing strategies, policies and guidelines appropriate to reality in training future human resources to achieve certain proficiency in digital skills.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111507"},"PeriodicalIF":1.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Antimicrobial data set and occurrence of acute kidney injury in patients admitted to a hospital in Western Pará, Brazil","authors":"Hiago Sousa Pinheiro ,&nbsp;Camila Castilho Moraes ,&nbsp;Géssica Aleane Moraes Esquerdo ,&nbsp;Elenn Suzany Pereira Aranha ,&nbsp;Luige Pinho Moraes ,&nbsp;Tânia Mara Pires Moraes ,&nbsp;Waldiney Pires Moraes","doi":"10.1016/j.dib.2025.111498","DOIUrl":"10.1016/j.dib.2025.111498","url":null,"abstract":"<div><div>In hospital units, the evaluation and pharmaceutical follow-up of medical prescriptions is an important source for pharmaceutical care and pharmaceutical clinical services. One common problem that has high hospital incidence rates is the occurrence of acute kidney injury (AKI). Pharmacovigilance among other activities is implemented in hospitals for the purpose of receiving and monitoring reports of adverse effects related to medications administered to patients. The survey evaluated the incidence of acute kidney injury in patients hospitalized and exposed to antimicrobials in a public hospital in the state of Pará, Brazil. A prospective and observational cohort was carried out, whose outcome of interest is the occurrence of AKI in patients admitted to the hospital between October 2018 and January 2019. The data were recorded and stored in a database, then descriptive analysis was performed in the GraphPad Prism 6.0 program. Quantitative variables were expressed as standard deviation (SD) of the mean and the number of cases as a percentage. We collected data from 70 patients who were admitted to the hospital and needed to use any of the antimicrobials selected in the observation period during hospital treatment. The survey results showed that mostly male (64.29%; <em>n =</em> 45). Age ranged from 19 to 96 years, with a mean of 52.49 years (SD = 20.31). The patients included were mostly from the oncology clinic (34.29%; <em>n =</em> 24) those that had had surgery (27.14%; <em>n =</em> 19). Most critically ill patients admitted to the adult ICU (26.47 %; <em>n =</em> 9) developed AKI. Regarding the number of medications used by patients, there was a variation from 5 to 17, with a mean of 10.26 (SD = 2.90) medications prescribed per patient. In the data regarding the antimicrobials, most patients took ceftriaxone (<em>n =</em> 29), cefepime (<em>n =</em> 27) and piperacillin/tazobactam (<em>n =</em> 23). In terms of the number of antimicrobials prescribed per patient, 60% (<em>n =</em> 42) of patients took only one, 30% (<em>n =</em> 21) took two and 10% (<em>n =</em> 7) took three or more antimicrobials for treatment of infections. The plasma concentrations of vancomycin ranged from 3.0 µg/mL to 22.5 µg/mL. Of the 10 samples collected, 10.0% (<em>n =</em> 1) were above the therapeutic range established by the literature (between 10 to 20 µg/mL), 30.0% (<em>n =</em> 3) were within the reference values and 60.0% (<em>n =</em> 6) of the patients had values below the reference values. Patients who developed AKI (60.0%; <em>n =</em> 6) during vancomycin use had concentration values between 3 µg/mL and 15.9 µg/mL, most of whom had values below the recommended therapeutic range. Of these patients with AKI, 83.33% (<em>n =</em> 5) used more than one nephrotoxic antimicrobial during hospital treatment. The concentrations of patients who were not diagnosed with AKI (40.0%; <em>n =</em> 4) ranged from 3.0 µg/mL to 22.5 µg/mL.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"60 ","pages":"Article 111498"},"PeriodicalIF":1.0,"publicationDate":"2025-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143725544","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}