Data in Brief最新文献_第4页

High-resolution dataset for tea garden disease management: Precision agriculture insights

IF 1

Data in Brief Pub Date : 2025-02-12 DOI: 10.1016/j.dib.2025.111379

Rimon, Sajib Bormon, MD Hasan Ahmad, Sohanur Rahman Sohag, Amatul Bushra Akhi

{"title":"High-resolution dataset for tea garden disease management: Precision agriculture insights","authors":"Rimon, Sajib Bormon, MD Hasan Ahmad, Sohanur Rahman Sohag, Amatul Bushra Akhi","doi":"10.1016/j.dib.2025.111379","DOIUrl":"10.1016/j.dib.2025.111379","url":null,"abstract":"<div><div>The economic development of many countries largely depends on tea plantations that suffer from diseases adversely affecting their productivity and quality. This study presents a high-resolution dataset aimed at advancing precision agriculture for managing tea garden diseases. The size of the dataset is 3960 images and pixel dimension is (1024 × 1024) of the images were collected by using smartphones. This dataset contains detailed images of Tea Leaf Blight, Tea Red Leaf Spot and Tea Red Scab maladies inflicted on tea leaves as well as environmental statistics and plant health. The images were captured and stored in JPG format. The main aim of this dataset is to provide tool for detection and classification of different types of tea garden disease. Applying this dataset will enable the development of early detection systems, best-practice care regimens, and enhanced general garden upkeep. A range of images presenting the most prevalent diseases afflicting tea plants are paired with images of healthy leaves to provide a comprehensive overview of all the circumstances that can arise in a tea plantation. Therefore, it can be used to automate diseases tracking, targeted pesticide spraying, and even the making of smart farm tools with development of smart agricultural tools hence enhancing sustainability and efficiency in tea production. This dataset not only provides a strong foundation for applying precision techniques in tea cultivation in agriculture, but also can become an invaluable asset to scientists studying the issues of tea production.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"59 ","pages":"Article 111379"},"PeriodicalIF":1.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508606","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}

引用次数: 0

CommRad RF: A dataset of communication radio signals for detection, identification and classification

IF 1

Data in Brief Pub Date : 2025-02-12 DOI: 10.1016/j.dib.2025.111387

Muhammad Usama Zahid , Muhammad Usman Akram , Muhammad Danish Nisar , Fahd Maqsood , Syed Usman Ali , Muhammad Montaha

{"title":"CommRad RF: A dataset of communication radio signals for detection, identification and classification","authors":"Muhammad Usama Zahid , Muhammad Usman Akram , Muhammad Danish Nisar , Fahd Maqsood , Syed Usman Ali , Muhammad Montaha","doi":"10.1016/j.dib.2025.111387","DOIUrl":"10.1016/j.dib.2025.111387","url":null,"abstract":"<div><div>The rapid growth in wireless technology has revolutionized the way of living but at the same time, raising security concerns of unauthorized access of spectrum, both military and commercial sectors. The subject of Radio Frequency (RF) fingerprinting has got special attention in recent years. Researchers proposed various datasets of radio signals of different types of devices (drones, cell phones, IoT, and Radar). However, presently there is no freely available dataset on walkie-talkies/commercial radios. To fill out the void, we present an innovative dataset including more than 2700 radio signals captured from 27 radios located in an indoor multipath environment. This dataset can enhance the security of the communication channels by providing the possibility to analyse and detect any unauthorized source of transmission. Furthermore, we also propose two innovative deep learning models named Light Weight 1DCNN and Light Weight Bivariate 1DCNN, for efficient data processing and learning patterns from the complex dataset of radio signals.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"59 ","pages":"Article 111387"},"PeriodicalIF":1.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508605","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}

引用次数: 0

Dataset of 37-subject EEG recordings using a low-cost mobile EEG headset during a semantic relatedness judgment task

IF 1

Data in Brief Pub Date : 2025-02-12 DOI: 10.1016/j.dib.2025.111390

Hannah Begue Hayes, Cyrille Louis Magne

{"title":"Dataset of 37-subject EEG recordings using a low-cost mobile EEG headset during a semantic relatedness judgment task","authors":"Hannah Begue Hayes, Cyrille Louis Magne","doi":"10.1016/j.dib.2025.111390","DOIUrl":"10.1016/j.dib.2025.111390","url":null,"abstract":"<div><div>This data article presents electroencephalography (EEG) data and behavioral responses from a study examining the efficacy of a consumer-grade EEG headset (InteraXon Muse 2) in measuring the N400 component, a neural marker of semantic processing. These data are linked to the article “Exploring the Utility of the Muse Headset for Capturing the N400: Dependability and Single-Trial Analysis”. Data were collected from 37 adult native speakers of English while they completed a semantic relatedness judgment task. Participants were presented with pairs of words and asked to judge whether the word pairs were semantically related (e.g., \"pedal-bike\") or unrelated (e.g., \"icing-bike\"). This dataset provides raw and preprocessed EEG data, alongside behavioral data (accuracy, response times) and comprehensive metadata. The MATLAB scripts for EEG analysis and the Python code for stimulus presentation and data acquisition are also included. These data offer a valuable resource for researchers interested in exploring the potential of consumer-grade EEG for language research. They can also be used to further investigate electrophysiological markers of semantic processing under different analysis parameters or in conjunction with other publicly available datasets.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"59 ","pages":"Article 111390"},"PeriodicalIF":1.0,"publicationDate":"2025-02-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453316","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}

引用次数: 0

Dataset for unrevealing the application of multi-trait genotype-ideotype distance index and multi-trait index based on factor analysis and ideotype-design models in the identification of high-yielding and stable barley genotypes

IF 1

Data in Brief Pub Date : 2025-02-11 DOI: 10.1016/j.dib.2025.111383

Alireza Pour-Aboughadareh , Omid Jadidi , Bita Jamshidi , Jan Bocianowski , Janetta Niemann

{"title":"Dataset for unrevealing the application of multi-trait genotype-ideotype distance index and multi-trait index based on factor analysis and ideotype-design models in the identification of high-yielding and stable barley genotypes","authors":"Alireza Pour-Aboughadareh , Omid Jadidi , Bita Jamshidi , Jan Bocianowski , Janetta Niemann","doi":"10.1016/j.dib.2025.111383","DOIUrl":"10.1016/j.dib.2025.111383","url":null,"abstract":"<div><div>Dissecting the genotype-by-environment interaction (GEI) effects in multi-environmental trials (METs) is a critical step in any breeding program before introducing new commercial varieties for cultivation in specific regions or across diverse environments. This dataset explores the application of two novel selection models: the multi-trait genotype-ideotype distance index (MGIDI) and the multi-trait index based on factor analysis and ideotype-design (FAI-BLUP). These models incorporate comprehensive stability parameters to identify high-yielding and stable barley genotypes across varying environmental conditions. In both models, the first three factors (FAs) with eigenvalues greater than 1 accounted for 92.3% of the total variation. The BLUP-based parameters, along with grain yield (GY) and the mean variance component (Ɵ), showed a positive selection deferential (SD) and correlated with the second factor (FA2). Notably, these models identified G3, G10, and G14 as the most stable genotypes. In conclusion, this dataset underscores the utility of comprehensive stability parameters and advanced selection models in identifying high-yielding, stable genotypes within the framework of METs.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"59 ","pages":"Article 111383"},"PeriodicalIF":1.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143510279","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}

引用次数: 0

Annual and state-level data on U.S. total fertility rates, 1931–present

IF 1

Data in Brief Pub Date : 2025-02-11 DOI: 10.1016/j.dib.2025.111386

Gregori Galofré-Vilà, María Gómez-León

{"title":"Annual and state-level data on U.S. total fertility rates, 1931–present","authors":"Gregori Galofré-Vilà, María Gómez-León","doi":"10.1016/j.dib.2025.111386","DOIUrl":"10.1016/j.dib.2025.111386","url":null,"abstract":"<div><div>This data paper presents a comprehensive reconstruction of U.S. fertility trends, offering state-level Total Fertility Rates (TFR) from 1931 to the present on an annual basis. The dataset computes TFR based on the tabulations of birth counts by maternal age category, sourced from the “Vital Statistics of the United States” published by the U.S. Department of Health and Human Services. Additionally, historical TFR are provided by race, with separate categories for white and non-white populations. TFR were further calculated using the number of women aged 14-49, derived from U.S. census data. This is the first time that TFR is being displayed at the state-year level and captures significant variations in fertility trends across states, during the rapid increase in fertility rates in the 1940s and 1950s, subsequent declines in the mid-1960s, and more recent fluctuations influenced by socio-economic factors, policies, and cultural shifts. By providing detailed, state-level data variation, this new resource offers valuable insights for public health researchers, policymakers, and demographers studying the determinants of fertility trends and their implications for social and economic planning.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"59 ","pages":"Article 111386"},"PeriodicalIF":1.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143453319","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}

引用次数: 0

AFruitDB: A comprehensive dataset of six commonly used Asian fruits for advanced grading and biodiversity insights

IF 1

Data in Brief Pub Date : 2025-02-11 DOI: 10.1016/j.dib.2025.111380

Mayen Uddin Mojumdar, Shahrin Islam, Md Al Mamun, Rifat Hasan, Shah Md Tanvir Siddiquee, Narayan Ranjan Chakraborty

{"title":"AFruitDB: A comprehensive dataset of six commonly used Asian fruits for advanced grading and biodiversity insights","authors":"Mayen Uddin Mojumdar, Shahrin Islam, Md Al Mamun, Rifat Hasan, Shah Md Tanvir Siddiquee, Narayan Ranjan Chakraborty","doi":"10.1016/j.dib.2025.111380","DOIUrl":"10.1016/j.dib.2025.111380","url":null,"abstract":"<div><div>The Asian subcontinent produces a vast range of fruits throughout the seasons. However, correctly classifying these fruits according to their qualities can be difficult, frequently necessitating the knowledge of fruit experts and cutting-edge equipment to produce accurate results. Therefore, to enable sophisticated grading methods that efficiently sort and evaluate fruit quality based on various characteristics (such as form, color, size, texture, and other crucial parameters), A unique dataset is deployed to support advanced grading systems. This dataset helps researchers explore genetic variation, ecological adaptation, and environmental factors that affect fruit qualities for conservation and sustainable agriculture. Using a mobile camera, these data are personally collected at various times of the day at local markets in Bangladesh that receive optimal sunlight. To create a unique dataset, 6 types of fruit consisting of 3,167 images have been collected. These six different types of fruit: apple, banana, burmese grape, mango, papaya, and tomato were used for quality grading, categorizing them as (i) good, (ii) medium, and (iii) bad. This dataset will help researchers in biodiversity conservation by building efficient machine-learning models and applying machine-learning techniques. Smart fruit grading, classification, and yield prediction automation systems can be built with this dataset.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"59 ","pages":"Article 111380"},"PeriodicalIF":1.0,"publicationDate":"2025-02-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143445040","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}

引用次数: 0

Paleofire activity at Lake Ohrid (Eastern Mediterranean region) during MIS 12–11

IF 1

Data in Brief Pub Date : 2025-02-10 DOI: 10.1016/j.dib.2025.111384

Andreas Koutsodendris, Ilias Kousis, Jörg Pross

引用次数: 0

Frequency response function data of a composite plate under various damage identification scenarios

IF 1

Data in Brief Pub Date : 2025-02-10 DOI: 10.1016/j.dib.2025.111385

Nathan Dwek , Dennis Janssens , Vasileios Dimopoulos , Matteo Kirchner , Elke Deckers , Frank Naets

{"title":"Frequency response function data of a composite plate under various damage identification scenarios","authors":"Nathan Dwek , Dennis Janssens , Vasileios Dimopoulos , Matteo Kirchner , Elke Deckers , Frank Naets","doi":"10.1016/j.dib.2025.111385","DOIUrl":"10.1016/j.dib.2025.111385","url":null,"abstract":"<div><div>This article presents data collected in support of research on damage identification in a composite plate, using low-frequency vibration measurements. The data consist of the Frequency Response Functions (FRFs) of a square plate, measured using an impact hammer and accelerometers, as an alternative to ultrasonic measurements. The plate is instrumented with 7 accelerometers, and a dense grid of candidate damage locations is defined. First, a set of baseline FRFs is collected by measuring the responses to hammer excitations at all grid points. Then, 6 damage identification scenarios are considered, and for each scenario, a set of FRFs is collected by measuring the responses to hammer excitations at the 7 accelerometer locations. Added masses are glued to the plate to reproduce the scattering effect of damage. This provides a convenient academic example for a wide range of topics in the field of structural dynamics and serves as a first proof-of-concept exercise for damage identification research. In addition, it allows to validate different approaches and benchmark their performance, thereby contributing a reference test case to adequately compare methods against one another.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"59 ","pages":"Article 111385"},"PeriodicalIF":1.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143420114","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}

引用次数: 0

Dataset for weld seam analysis and discontinuity prediction in laser beam welding scenarios

IF 1

Data in Brief Pub Date : 2025-02-10 DOI: 10.1016/j.dib.2025.111381

Dominik Walther , Leander Schmidt , Klaus Schricker , Christina Junger , Jean Pierre Bergmann , Gunther Notni , Patrick Mäder

{"title":"Dataset for weld seam analysis and discontinuity prediction in laser beam welding scenarios","authors":"Dominik Walther , Leander Schmidt , Klaus Schricker , Christina Junger , Jean Pierre Bergmann , Gunther Notni , Patrick Mäder","doi":"10.1016/j.dib.2025.111381","DOIUrl":"10.1016/j.dib.2025.111381","url":null,"abstract":"<div><div>Laser beam welding can produce narrow, high-quality welds in various industrial joining processes. The thermal expansion and contraction of the metal during the weld results in the displacement of the sheets. That leads to the formation of joint gaps and subsequent to a process interruption. This behavior has only been analyzed to a limited extent and causes manufacturers to rely on heavy clamping systems rather than using more flexible fixtureless approaches. Due to the time-consuming and costly nature of recording and producing erroneous weld seams, such recordings and datasets are rarely available in this area. This often limits the research towards adaptable fixtureless welding setups. Because of this, we present a multi-modal dataset consisting of 100 recorded welds that tracks the metal sheets movement. The developed setup enables the determination of boundary conditions for fixtureless welding. Two types of sensors record the welding process. First, three inductive probes are applied to record the metal sheets` movement and second, a long-wave infrared (LWIR) camera records changes in the thermal radiation field. Two different welding speeds and laser powers were used to produce a variety of welds. The dataset can be used for data-driven algorithms to predict the metal movement, analyze the thermal radiation field, or develop quality control methodologies.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"59 ","pages":"Article 111381"},"PeriodicalIF":1.0,"publicationDate":"2025-02-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143508608","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}

引用次数: 0

Dataset on the patterns of livelihood diversification in farming systems of the Eastern Gangetic Plains of South Asia

IF 1

Data in Brief Pub Date : 2025-02-08 DOI: 10.1016/j.dib.2025.111372

Tamara M. Jackson , Ravi Nandi , Arifa Jannat , Arunava Ghosh , Dilip Kumar Hajra , Biplab Mitra , Md Mamunur Rashid , Sagar Bista , Anjana Chaudhary , Pragya Timsina , Emma Karki , Kali Ratan Chakma , Gunjan Rana , Avinash Kishore

{"title":"Dataset on the patterns of livelihood diversification in farming systems of the Eastern Gangetic Plains of South Asia","authors":"Tamara M. Jackson , Ravi Nandi , Arifa Jannat , Arunava Ghosh , Dilip Kumar Hajra , Biplab Mitra , Md Mamunur Rashid , Sagar Bista , Anjana Chaudhary , Pragya Timsina , Emma Karki , Kali Ratan Chakma , Gunjan Rana , Avinash Kishore","doi":"10.1016/j.dib.2025.111372","DOIUrl":"10.1016/j.dib.2025.111372","url":null,"abstract":"<div><div>The Eastern Gangetic Plains (EGP) region, characterized by smallholder-dominated farming, is experiencing rapid socio-economic and environmental changes. To enhance resilience, income stability, and food security, smallholders are increasingly diversifying their livelihoods away from traditional agriculture. However, the patterns and drivers of this diversification remain poorly understood. This study, utilizing data from the Rupantar project, aims to elucidate these patterns, identify key drivers, and assess the impacts on productivity, profitability, nutrition, and inclusion. A mixed-methods approach was employed, including a baseline survey of 1400 households across India, Nepal, and Bangladesh and analysis using the Simpson's Index of Diversity (SID). Fractional regression models revealed moderate diversification levels across the EGP with significant geographical and contextual variability. Key drivers included access to resources, gender, education, market access, and institutional support, with differences observed across countries and diversification types. Factors such as non-ownership of irrigation pumps, female household headship, and engagement in off-farm activities were significant predictors of higher diversification. The study found that diversification can enhance income security, nutritional outcomes, and environmental sustainability, although impacts vary by diversification type.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"59 ","pages":"Article 111372"},"PeriodicalIF":1.0,"publicationDate":"2025-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143474883","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}

引用次数: 0