Data in Brief最新文献

Dataset of near-infrared (NIR) spectral data for prediction of organic matter and total carbon in agricultural soil using homemade NIR spectrometer 利用自制近红外光谱仪预测农业土壤有机质和全碳的近红外数据集

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Data in Brief Pub Date : 2025-06-25 DOI: 10.1016/j.dib.2025.111840

Natchanon Santasup , Parichat Theanjumpol , Choochad Santasup , Sila Kittiwachana , Nipon Mawan , Nuttapon Khongdee

{"title":"Dataset of near-infrared (NIR) spectral data for prediction of organic matter and total carbon in agricultural soil using homemade NIR spectrometer","authors":"Natchanon Santasup , Parichat Theanjumpol , Choochad Santasup , Sila Kittiwachana , Nipon Mawan , Nuttapon Khongdee","doi":"10.1016/j.dib.2025.111840","DOIUrl":"10.1016/j.dib.2025.111840","url":null,"abstract":"<div><div>The paper presents the spectroscopic data obtained from a homemade NIR spectrometer developed for agricultural quality analysis, along with the calibration and validation of a model database for predicting agricultural soil properties. We collected NIR spectral data from 190 soil samples taken at a depth of 0-20 cm from agricultural areas in northern Thailand, including vegetable farms, orchards, and field crops. The acquisition process started by air-drying the soil and sieving it through 2.0 mm and 0.5 mm mesh. Six preprocessing techniques, including Savitzky-Golay smoothing, multiplicative scatter correction (MSC), standard normal variate (SNV), first derivative, second derivative, and mean centering, were used with partial least squares (PLS) regression to create the prediction model for soil organic matter and total carbon. Seventy percent of the sample was divided into calibration and the remaining thirty percent was validation. The most suitable model for assessing soil organic matter (SOM) and total carbon is Savitzky-Golay smoothing through the PLSR model, with a coefficient of determination (R<sup>2</sup>) of 0.79 and 0.78, a root mean square error (RMSE) of 0.701% and 0.382% for validation samples, respectively. Thus, the NIR dataset spanning 900-1,700 nm proved to be an ideal wavelength range for developing a portable/handheld NIR spectrometer, with potential for further accuracy improvements through model refinement.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"61 ","pages":"Article 111840"},"PeriodicalIF":1.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490688","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}

引用次数: 0

Best Practices to overcome challenges and barriers during the implementation of a data space for the energy domain: An experience report 克服能源领域数据空间实施过程中的挑战和障碍的最佳实践：经验报告

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Data in Brief Pub Date : 2025-06-25 DOI: 10.1016/j.dib.2025.111838

Sebastian Copei , Linda Rülicke

{"title":"Best Practices to overcome challenges and barriers during the implementation of a data space for the energy domain: An experience report","authors":"Sebastian Copei , Linda Rülicke","doi":"10.1016/j.dib.2025.111838","DOIUrl":"10.1016/j.dib.2025.111838","url":null,"abstract":"<div><div>With multiple national and international data space projects, the drive of this technology may change data-sharing processes disruptively. With the promise of sovereign, secured, and trustful data exchange, a data space seems perfect for closing the gap in inter-company communication through various domains. The energy domain in Germany is also currently in the digital transformation stage. With complex processes across multiple companies in regulated and unregulated scopes, the rigorous fulfillment of the General Data Protection Regulation (GDPR) and national security requirements is mandatory. However, data spaces seem to be a possible technology that can fulfill the requirements while allowing flexibility in implementing all needed processes. With this paper, we want to share our experiences with the implementation of a data space in the German energy domain. In addition to the general challenges and barriers that occur while creating a data space, we will outline specific challenges and barriers from the energy domain in Germany. Furthermore, we will present our solutions to overcome some of these challenges and barriers and collect them as Best Practices that can be adopted from other data space initiatives.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"61 ","pages":"Article 111838"},"PeriodicalIF":1.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490684","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}

引用次数: 0

Bochun: Automatically annotated stance detection dataset for Sorani Kurdish language Bochun：自动标注的Sorani库尔德语姿态检测数据集

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Data in Brief Pub Date : 2025-06-25 DOI: 10.1016/j.dib.2025.111839

Payman Sabr Rostam , Rebwar Mala Nabi

{"title":"Bochun: Automatically annotated stance detection dataset for Sorani Kurdish language","authors":"Payman Sabr Rostam , Rebwar Mala Nabi","doi":"10.1016/j.dib.2025.111839","DOIUrl":"10.1016/j.dib.2025.111839","url":null,"abstract":"<div><div>This Research presents the first-ever, high-quality, automatically annotated Kurdish stance detection dataset in the Sorani dialect to fill the gap of lacking annotated resources for Kurdish, a low-resource language in Natural Language Processing (NLP). The dataset consists of 2,174 Kurdish news articles—1,410 economic and 764 political—that were originally published in 2024 and 2025, which are recent and topically relevant. By selecting these texts from well-known Kurdish news agencies, content validity and linguistic purity were preserved throughout. Necessary preprocessing techniques are applied. Annotation is carried out in two steps. First, a pattern-recognition method with 2,456 phrases and keywords was applied to determine if the subject of every text fell into the economics or politics category. Next, the position of every article was annotated with an extended lexicon of 4,243 adjectives and verbs, categorized under support, oppose, and neutral. Wherever direct matches were not possible, semantic similarity and zero-shot classification were used as fallback measures. In order to verify the automatic annotation, a team of domain experts manually assessed a representative sample of the annotated texts, with a high inter-annotator agreement score confirming the validity of the approach. The dataset is made available in XLSX (Excel) format, facilitating ease of use and versatility for a variety of research tasks in NLP. Due to its annotated and organized corpus, this dataset is a solid starting point for researchers who are building Kurdish language processing models. The dataset is released publicly to allow other researchers to build upon it and push the limits of NLP system performance on low-resource languages.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"61 ","pages":"Article 111839"},"PeriodicalIF":1.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144510949","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}

引用次数: 0

ArtInsight: A detailed dataset for detecting deterioration in easel paintings ArtInsight：用于检测架上画作劣化的详细数据集

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Data in Brief Pub Date : 2025-06-25 DOI: 10.1016/j.dib.2025.111811

Francisco M. Garcia-Moreno , Jose Manuel del Castillo de la Fuente , Luis Rodrigo Rodríguez-Simón , María Visitación Hurtado-Torres

{"title":"ArtInsight: A detailed dataset for detecting deterioration in easel paintings","authors":"Francisco M. Garcia-Moreno , Jose Manuel del Castillo de la Fuente , Luis Rodrigo Rodríguez-Simón , María Visitación Hurtado-Torres","doi":"10.1016/j.dib.2025.111811","DOIUrl":"10.1016/j.dib.2025.111811","url":null,"abstract":"<div><div>ArtInsight is an innovative dataset designed to detect deterioration in fine art, specifically easel paintings. The dataset includes high-resolution images captured at the University of Granada using a digital camera with a 105 mm lens, ISO 125, F5, and a shutter speed of 1/13, and processed for color calibration. Two types of images are featured: those showing stucco technique interventions and those with Lacune from the loss of the Painting Layer (LPL). The VGG Image Annotator was employed for manual damage labeling, with annotations exported in JSON format and labeled for stucco and LPL damages. The dataset comprises 14 images with 2909 distinct damage areas, split into training and validation datasets. Developed using Python 3.7 and fine-tuned on a pre-trained Mask-RCNN model, this dataset demonstrates high accuracy rates (98–100 %) in damage detection. ArtInsight aims to facilitate automated damage detection and foster future research in art conservation and restoration. The dataset is publicly available at <span><span>10.5281/zenodo.8429814</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"61 ","pages":"Article 111811"},"PeriodicalIF":1.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490682","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}

引用次数: 0

An improved and uptaded 20-years air pollution exposure dataset for Germany 2003-2022 (APExpose_DE v6) 改进和更新的德国2003-2022年20年空气污染暴露数据集（APExpose_DE v6）

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Data in Brief Pub Date : 2025-06-24 DOI: 10.1016/j.dib.2025.111833

Alexandre Caseiro , Erika von Schneidemesser

引用次数: 0

Mid- and far-infrared data for the analysis of Australian plant exudates 澳洲植物分泌物分析之中、远红外资料

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Data in Brief Pub Date : 2025-06-24 DOI: 10.1016/j.dib.2025.111830

Abigail K. Mann , Dominique Appadoo , Claire E. Lenehan , Rachel S. Popelka-Filcoff

{"title":"Mid- and far-infrared data for the analysis of Australian plant exudates","authors":"Abigail K. Mann , Dominique Appadoo , Claire E. Lenehan , Rachel S. Popelka-Filcoff","doi":"10.1016/j.dib.2025.111830","DOIUrl":"10.1016/j.dib.2025.111830","url":null,"abstract":"<div><div>Plant exudates have been used around the world for cultural expression and various applications throughout the archaeological record and continue today. Indigenous Australians utilize specific plant exudates for their physiochemical properties and as a fundamental connection to Country. This manuscript contains data related to the analysis of aged Australian native plant exudates, using an assemblage from turn of the 20<sup>th</sup> century with provenance information but no further information on the collectors. Data from these aged samples are augmented by parallel examples from worldwide locations that have been more extensively characterized. Data were acquired via laboratory-based mid-infrared spectroscopy (mid-IR) and synchrotron-based far-infrared spectroscopy (far-IR). Spectral data are presented, organised by genera with multiple samples (<em>Xanthorrhoea, Aracauria, Acacia, Callitris, Eucalyptus</em>) for both mid- and far-IR regions to allow direct comparisons of the fingerprint areas for both spectral regions. All spectra were normalised to their highest and lowest values for presentation. Further comparisons can be made with future work on native Australian plant exudates in collections and cultural heritage materials, to identify their genera and species. This manuscript presents the collected spectral data in the mid and far infrared.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"61 ","pages":"Article 111830"},"PeriodicalIF":1.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490687","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}

引用次数: 0

High temperature stress-strain data for SAE 5120 steel under various strain rates sae5120钢在不同应变速率下的高温应力应变数据

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Data in Brief Pub Date : 2025-06-24 DOI: 10.1016/j.dib.2025.111824

Philippe Moreau, Jean-Dominique Guérin, José Grégorio La Barbara Sosa, Eli Puchi Cabrera, André Dubois, Laurent Dubar

{"title":"High temperature stress-strain data for SAE 5120 steel under various strain rates","authors":"Philippe Moreau, Jean-Dominique Guérin, José Grégorio La Barbara Sosa, Eli Puchi Cabrera, André Dubois, Laurent Dubar","doi":"10.1016/j.dib.2025.111824","DOIUrl":"10.1016/j.dib.2025.111824","url":null,"abstract":"<div><div>SAE 5120 is a low-alloy chromium steel widely used in automotive, aerospace, and construction industries for mechanically loaded components. To preserve its mechanical properties and prevent cracking or poor grain structure, it is typically hot-formed between 850°C and 1200°C through forging or rolling. Finite Element simulations are often used to model and optimize these processes, requiring accurate material flow stress and strain hardening data under varying deformation conditions and microstructures. Traditional constitutive models, often based on parametric laws, have limitations: they assume flow stress depends solely on temperature and strain rate, neglecting softening effects from dynamic recrystallization (DRX) and failing to capture stress evolution during transient loading conditions. This work aims to use raw rheological data of SAE 5120 to develop a model based on an incremental formulation that closely reflects the experimental behavior. The dataset includes raw data from axisymmetric compression tests conducted on a Gleeble 3500 system under vacuum, with temperatures ranging from 850°C to 1200°C and strain rates from 0.01 s⁻¹ to 10 s⁻¹. Corrections were applied to account for adiabatic heating and strain rate variations during compression. The processed data, averaged from raw tests, were then used to characterize austenite flow stress as a function of strain rate and temperature using the incremental approach. This model incorporates DRX and the evolution of the recrystallized volume fraction. The resulting data are suitable for direct use in finite element simulations and can enhance material databases for machine learning and deep learning applications.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"61 ","pages":"Article 111824"},"PeriodicalIF":1.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144481686","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}

引用次数: 0

A dataset for classifying phrases and sentences into statements, questions, or exclamations based on sound pitch 一个基于音高将短语和句子分类为陈述句、疑问句或感叹词的数据集

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Data in Brief Pub Date : 2025-06-24 DOI: 10.1016/j.dib.2025.111826

Ayub Othman Abdulrahman, Shanga Ismail Othman, Gazo Badran Yasin, Meer Salam Ali

{"title":"A dataset for classifying phrases and sentences into statements, questions, or exclamations based on sound pitch","authors":"Ayub Othman Abdulrahman, Shanga Ismail Othman, Gazo Badran Yasin, Meer Salam Ali","doi":"10.1016/j.dib.2025.111826","DOIUrl":"10.1016/j.dib.2025.111826","url":null,"abstract":"<div><div>Speech is the most fundamental and sophisticated channel of human communication, and breakthroughs in Natural Language Processing (NLP) have substantially raised the quality of human-computer interaction. In particular, new wave of deep learning methods have significantly advanced human speech recognition by obtaining fine-grained acoustic cues including pitch, an acoustic feature that can be a critical ingredient in understanding communicative intent. Pitch variation is in particular important for prosodic classification tasks (i.e., statements, questions, and exclamations), which is crucial in tonal and low resource languages such as Kurdish, where intonation holds significant semantic information. This paper presents the dataset of the Statements, Questions, or Exclamations Based on Sound Pitch (SQEBSP) which contains 12,660 professionally-recorded speech audio clips by 431 native Kurdish speakers who reside in the Kurdistan Region of Iraq.</div><div>Regarding utterances, 10 new phrases were articulated by each speaker per three prosodic categories: statements, questions, and exclamations. All utterances were digitized at 16 kHz and then manually checked for correctness concerning pitch-based classification. The dataset contains equal representation from all three classes, about 4200 samples per class, and metadata such as speaker gender, age group, and sentence identifiers.</div><div>The original audio files, alongside resources like Mel-Frequency Cepstral Coefficients (MFCCs) and waveform visualizations, can be found on Mendeley Data. The dataset offered has significant advantages for formulating and testing pitch-based speech classification algorithms, furthers the work on pronunciation modelling for languages lacking sufficient resources. It furthermore, aids in developing speech technologies sensitive to dialects.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"61 ","pages":"Article 111826"},"PeriodicalIF":1.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144501820","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}

引用次数: 0

Whole genome sequence data of Comamonas sediminis FS4_11, a fumonisin B1-transforming bacterium, using hybrid nanopore-illumina sequencing 利用杂交纳米孔illumina测序技术获得富马菌素b1转化菌沉积Comamonas sediminis FS4_11全基因组序列数据

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Data in Brief Pub Date : 2025-06-24 DOI: 10.1016/j.dib.2025.111829

Yang Wang , Mengru Zhao , Zhe Wang , Xiaohong Luo , Chengfei Wang , Baoyuan Guo

引用次数: 0

Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyards 基于庭院设计的热带气候下建筑能耗数据集

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Data in Brief Pub Date : 2025-06-24 DOI: 10.1016/j.dib.2025.111834

Abdulbasit Almhafdy , Ashjan Al-Mutairi , Asma Al-Shargabi , Amal Al-Shargabi

{"title":"Dataset on energy consumption in buildings within tropical climate based on design aspects of courtyards","authors":"Abdulbasit Almhafdy , Ashjan Al-Mutairi , Asma Al-Shargabi , Amal Al-Shargabi","doi":"10.1016/j.dib.2025.111834","DOIUrl":"10.1016/j.dib.2025.111834","url":null,"abstract":"<div><div>Sustainability and energy efficiency have become fundamental objectives for modern society. Green roofs and facades are increasingly recognized as innovative and sustainable strategies to improve the energy performance of buildings. This paper introduces a dataset about buildings thermal performance and energy consumption in tropical climate depending on adjacent outdoor enclosed courtyards design features with different architectural shapes U, L, and O. The core data has been collected in public building in Kuala Lumpur, Malaysia. Then it expanded using simulation. The core measured raw data is the temperature and the other data is simulated and/or calculated. The dataset includes detailed design features of courtyards such as plan aspect ratio, number of floors, and orientation. Measurement instruments were calibrated against real-world measurements to ensure accuracy and reliability. The simulated data is tested and validated based on the statistical aspects of the raw data using Pearson correlation coefficient, with a value of 0.882. The dataset includes total 8,685 records across the different courtyard' shapes. This dataset captures intricate relationships between architectural design parameters and energy consumption, making it a valuable resource for architects, engineers, and researchers interested in optimizing building designs for improved energy efficiency. It also allows in-depth analysis and potential reuse in studies related to sustainable architecture and urban planning.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"61 ","pages":"Article 111834"},"PeriodicalIF":1.0,"publicationDate":"2025-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144490683","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}

引用次数: 0