Data in Brief最新文献

{"title":"Expedited modeling of burn events results (EMBER): A screening-level dataset of 2023 ozone fire impacts in the US","authors":"Heather Simon ,&nbsp;James Beidler ,&nbsp;Kirk R. Baker ,&nbsp;Barron H. Henderson ,&nbsp;Loren Fox ,&nbsp;Chris Misenis ,&nbsp;Patrick Campbell ,&nbsp;Jeff Vukovich ,&nbsp;Norm Possiel ,&nbsp;Alison Eyth","doi":"10.1016/j.dib.2024.111208","DOIUrl":"10.1016/j.dib.2024.111208","url":null,"abstract":"<div><div>The Expedited Modeling of Burn Events Results (EMBER) dataset consists of 36-km grid-spacing Community Multiscale Air Quality (CMAQ) photochemical modeling for the summer of 2023. For emissions, these simulations utilized representative monthly and day-of-week anthropogenic emissions from a recent year and preliminary day-specific 2023 fire emissions derived using BlueSky pipeline. The base model run simulated ozone concentrations across the contiguous US during Apr 11-Sep 29, 2023. Two zero-out model runs simulated ozone levels that would have occurred in the US (1) in the absence of fire emissions (“Zero Fires”) and (2) in the absence of only Canadian wildfire emissions (“Zero Canadian Fires”). Fire impacts on ozone were then estimated as the difference between ozone simulated in the base EMBER run compared to the ozone simulated in each of the zero out model runs. EMBER is presented as a screening level dataset due to the emissions limitations and the 36-km grid-spacing used in these simulations.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111208"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11728960/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142977995","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":"Comprehensive dataset for fault detection and diagnosis in inverter-driven permanent magnet synchronous motor systems","authors":"Abdelkabir Bacha ,&nbsp;Ramzi El Idrissi ,&nbsp;Khalid Janati Idrissi ,&nbsp;Fatima Lmai","doi":"10.1016/j.dib.2025.111286","DOIUrl":"10.1016/j.dib.2025.111286","url":null,"abstract":"<div><div>This work introduces a new, comprehensive dataset for Fault Detection and Diagnosis (FDD) in inverter-driven Permanent Magnet Synchronous Motor (PMSM) systems. Despite the increasing significance of AI-driven FDD techniques, the domain suffers from a lack of publicly accessible, real-world datasets for algorithm development and evaluation. Our contribution fills this gap by offering a comprehensive, multi-sensor dataset obtained from a bespoke experimental apparatus. The dataset includes different fault cases, such as open-circuit faults, short-circuit faults, and overheating conditions in the inverter switches. The dataset incorporates 8 raw sensor measurements and 15 derived features, recorded at 10 Hz, amounting to 10,892 samples across 9 operational conditions (one normal, eight fault types). By keeping this dataset publicly accessible, we seek to accelerate research in AI-driven fault identification and diagnosis for electric drive systems.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111286"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143131143","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":"Spatial datasets of CMIP6 climate change projections for Canada and the United States","authors":"Daniel W. McKenney ,&nbsp;John H. Pedlar ,&nbsp;Kevin Lawrence ,&nbsp;Stephen R. Sobie ,&nbsp;Kaitlin DeBoer ,&nbsp;Tiziana Brescacin","doi":"10.1016/j.dib.2024.111246","DOIUrl":"10.1016/j.dib.2024.111246","url":null,"abstract":"<div><div>Geospatial climate change projections are critical for assessing climate change impacts and adaptations across a wide range of disciplines. Here we present monthly-based grids of climate change projections at a 2-km resolution covering Canada and the United States. These data products are based on outputs from the 6th Coupled Model Intercomparison Project (CMIP6) and include projections for 13 General Circulation Models (GCMs), three Shared Socio-economic Pathways (SSP1 2.6, SSP2 4.5, and SSP5 8.5), four 30-year time periods (2011–2040, 2021–2050, 2041–2070, and 2071–2100), and a suite of climate variables, including monthly maximum and minimum temperature, precipitation, climate moisture index, and various bioclimatic summaries. The products employ a delta downscaling method, which combines historical normal values at climate stations with broad-scale change projections (or deltas) from GCMs, followed by spatial interpolation using ANUSPLIN. Various quality control efforts, described herein, were undertaken to ensure that the final products provided reasonable estimates of future climate.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111246"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11742571/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143001731","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 dataset on environmental DNA, bacterio-, phyto- and zooplankton from an emerging periglacial lagoon in Svalbard, Arctic","authors":"Sergej Olenin ,&nbsp;Dzmitry Lukashanets ,&nbsp;Anastasija Zaiko ,&nbsp;Aurelija Samuilovienė ,&nbsp;Irina Olenina ,&nbsp;Evelina Grinienė ,&nbsp;Tobia Politi ,&nbsp;Aleksej Šaškov ,&nbsp;Greta Kilmonaitė ,&nbsp;Andrius Šiaulys","doi":"10.1016/j.dib.2024.111260","DOIUrl":"10.1016/j.dib.2024.111260","url":null,"abstract":"<div><div>Over the last few decades, climate change in Svalbard (European Arctic) has led to the emergence and growth of periglacial coastal lagoons in the place of retreating glaciers. In these emerging water bodies, new ecosystems are formed, consisting of elements presumably entering the lagoon from the melting glacier, the surrounding tundra water bodies and the coastal ocean. The data presented here were collected from an emerging lagoon in the western region of Spitsbergen, Svalbard, situated between the retreating Eidembreen Glacier and Eidembukta Bay in 2022–2023. The current size of the lagoon area is approximately 6 square kilometers. The sampling was carried out at 26 sites across various sections of the lagoon, spanning from close proximity to the glacier to the furthest point away. The dataset contains the results of bacterioplankton (total cell concentration and carbon biomass), phytoplankton (taxonomic composition, cell size for selected taxa, abundance, biomass and carbon biomass), zooplankton (taxonomic composition, abundance), and environmental DNA (eDNA) metabarcoding. The dataset will be utilized to provide a comprehensive description of the structure of the lagoon ecosystem. It will also facilitate a comparison of its various parts, which vary in terms of their age of origin, i.e., release from the glacier. Additionally, the dataset will aid in the understanding of the intricate interactions between the freshwater and marine elements of the ecosystem. It can be used for comparative analysis of biodiversity assessment using eDNA and traditional microscopy methods in the identification of phyto- and zooplankton. Furthermore, these data can be utilized for environmental monitoring, tracing the temporal shifts and conducting comparative analysis of periglacial lagoons that are emerging in various regions of Svalbard as a result of climate change.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111260"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11763512/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143045892","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":"Vertical two-phase flow regimes in an annulus image dataset - Texas A&M university","authors":"Kaushik Manikonda ,&nbsp;Chinemerem Obi ,&nbsp;Aarya Abhay Brahmane ,&nbsp;Mohammad Azizur Rahman ,&nbsp;Abu Rashid Hasan","doi":"10.1016/j.dib.2024.111245","DOIUrl":"10.1016/j.dib.2024.111245","url":null,"abstract":"<div><div>The Vertical Two-Phase Flow Regimes in an annulus Image Dataset, generated at Texas A&amp;M University, presents an extensive collection of high-resolution images capturing various gas-liquid two-phase flow dynamics within a vertical flow setup. This dataset results from meticulous experimental work in the 140 ft Tower Lab, utilizing a combination of water and air flows to simulate real-world conditions and employing high-quality video recordings to document flow regime transitions. Designed to support research in fluid dynamics, machine vision, and computational modeling, the dataset offers valuable resources for developing machine vision models for accurate regime detection and differentiation, enhancing the fidelity of computational fluid dynamics simulations, and facilitating the estimation of critical flow parameters. Despite its comprehensive nature, the dataset notes limitations such as the absence of annular flow regime images and its exclusive focus on vertical flow conditions.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111245"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11786701/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143078840","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":"Data on zinc chelates of glycine as a growth and survival enhancer in hybrid grouper and whiteleg shrimp","authors":"Sarmila Muthukrishnan ,&nbsp;Donny Kai Hee Tey ,&nbsp;Wen Chen Wee","doi":"10.1016/j.dib.2025.111309","DOIUrl":"10.1016/j.dib.2025.111309","url":null,"abstract":"<div><div>The dataset demonstrates the efficacy of Aqua Ectogon-284, a zinc chelates of glycine, as a dietary supplement to enhance growth and survival in hybrid grouper (<em>Epinephelus fuscoguttatus</em> ♀ × <em>E. lanceolatus</em> ♂) and whiteleg shrimp (<em>Penaeus vannamei</em>). Two concentrations (1g/kg feed and 2g/kg feed) were evaluated against a control group to identify an optimal dosage that maximizes growth and health outcomes. Both the species exhibited improved growth performance and survival rates with dietary supplementation. The hybrid grouper fed a 1g/kg diet achieved the highest final weight of 100.00 g, with significant increases in length and survival rates of 96.00%. Similarly, whiteleg shrimp demonstrated enhanced final weights and survival (94.67%) with the same treatment. These findings revealed that zinc chelate glycine increased the growth rate and reduced mortality in farmed species.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111309"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143130878","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":"AnaDetect: An extensive dataset for advancing anemia detection, diagnostic methods, and predictive analytics in healthcare","authors":"Mayen Uddin Mojumdar,&nbsp;Dhiman Sarker,&nbsp;Md Assaduzzaman,&nbsp;Md. Anisul Haque Sajeeb,&nbsp;Md. Mohaimenur Rahman,&nbsp;Md Shadikul Bari,&nbsp;Shah Md Tanvir Siddiquee,&nbsp;Narayan Ranjan Chakraborty","doi":"10.1016/j.dib.2024.111195","DOIUrl":"10.1016/j.dib.2024.111195","url":null,"abstract":"<div><div>Anemia is a critical medical condition in public health concern in tropical and subtropical areas, and understanding its hematological changes is crucial for improving diagnosis, treatment, and prognosis.It manifests through symptoms like weakness, fatigue, pale skin, and shortness of breath due to insufficient hemoglobin or red blood cells to carry adequate oxygen, with severe cases leading to complications such as chest pain. Common causes include blood loss, chronic diseases, and iron and vitamin deficiencies. This dataset captures various hematological parameters of patients suffering from anemia, including sex, age, Hemoglobin level (Hb), oxygen transportation (RBC), packed cell volume (PCV), mean corpuscular volume (MCV), Mean Corpuscular Hemoglobin (MCH), Mean corpuscular hemoglobin concentration (MCHC). The data is systematically collected from patients admitted to Aalok Healthcare Ltd., situated in Dhaka, Bangladesh., offering an opportunity to analyze hematological variations in patients with anemia. By providing a worldwide viewpoint for comparing hematological responses, this dataset aids in the development of prediction models for the severity of anemia and patient outcomes, improving clinical decision-making. The study examines how various treatment plans can affect blood characteristics, potentially leading to improved treatment strategies. For statistical analysis, the data is cleaning the noise (null and duplicate values), normalized, and encoded. The Chi-square test results indicate a p-value of <span><math><mrow><mn>4.1929</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>29</mn></mrow></msup></mrow></math></span>, showing no significant association between gender and diagnostic outcomes. However, the Z-test and T-test results reveal a notable gender difference in hemoglobin levels, with p-values of <span><math><mrow><mn>3.4789</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>33</mn></mrow></msup></mrow></math></span> and <span><math><mrow><mn>4.1586</mn><mo>×</mo><msup><mrow><mn>10</mn></mrow><mrow><mo>−</mo><mn>24</mn></mrow></msup></mrow></math></span>, respectively, underscoring the relevance of gender in analyzing hemoglobin variations. These findings emphasize how gender influences hematological responses against Anemia. The dataset will greatly advance research on anemia, improve these critical medical terms in public health strategies, and enhance patient diagnosis and treatment methods, offering a distinct advantage.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111195"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11699093/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142930902","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":"Simulating data breaches: Synthetic datasets for depicting personally identifiable information through scenario-based breaches","authors":"Abhishek Sharma ,&nbsp;May Bantan","doi":"10.1016/j.dib.2024.111207","DOIUrl":"10.1016/j.dib.2024.111207","url":null,"abstract":"<div><div>With hackers relentlessly disrupting cyberspace and the day-to-day operations of organizations worldwide, there are also concerns related to Personally Identifiable Information (PII). Due to the data breaches and the data getting dumped on the clear web or the dark web, there are serious concerns about how the different threat actors worldwide can misuse the data. Also, it raises the question of how hackers can create a profile of an individual starting from one data leak and getting more details on individuals with the help of Open Source Intelligence (OSINT). Furthermore, there is a dilemma in utilizing data breach datasets dumped on the clear web or the dark web because of the sensitive nature of the information. There can be issues related to ethics, law enforcement, and legal use of data. Thus, to tackle this, we will construct synthetic datasets that will allow researchers and professionals to understand how data leaks can be dangerous and how hackers can connect the dots further by creating complete profiles of individuals. We have programmatically generated a synthetic master record of 4 million unique individuals with complete profiles of their PIIs, and then using the master record, we have further generated 16 scenario-based datasets by creating a fictitious narrative of data breaches covering different industry types. These datasets will facilitate researchers and industry professionals in understanding the distribution of PIIs across data breaches. The data classes represent the nature of PIIs sourced from ‘Have I Been Pwned?’ to create synthetic records. The synthetically generated records are shared with the code in this paper to facilitate future researchers and practitioners to generate customized synthetic records according to their requirements, enabling transparency in terms of reusability, reproducibility, and replicability.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111207"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11699479/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142930929","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":"Data on full stationary wave-field measurement of a suspended steel plate punctually loaded","authors":"Xuefeng Li ,&nbsp;Thomas Brion ,&nbsp;Pascal Fossat ,&nbsp;Mohamed Ichchou ,&nbsp;Olivier Bareille ,&nbsp;Abdel-Malek Zine","doi":"10.1016/j.dib.2024.111180","DOIUrl":"10.1016/j.dib.2024.111180","url":null,"abstract":"<div><div>The dataset presented contains the experimental structural response, in the frequency domain, of a suspended steel plate to a point force excitation. The plate is excited by a mechanical point force generated by a Brüel &amp; kJær shaker with a white noise signal input from 3.125 Hz to 2000 Hz. The out-of-plate displacement fields on a 2D grid were measured using a Polytec PSV-400 Scanning Vibrometer. Finally, the displacement fields are acquired by a Fourier analyser connected to a sampler. The dataset provided is a useful resource for researchers to study the structural dynamic behaviour of large thin plates in the frequency domain and to validate the effectiveness of wavenumber identification methods. Its value has been illustrated in the research paper “Algebraic K-Space Identification 2D technique for the automatic extraction of complex k-space of 2D structures in presence of uncertainty” [1]. The data collection was carried out during three weeks in April 2022 at the Ecole Central de Lyon.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111180"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11719245/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142969907","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":"Drone imagery dataset for early-season weed classification in maize and tomato crops","authors":"Gustavo A. Mesías-Ruiz ,&nbsp;José M. Peña ,&nbsp;Ana I. de Castro ,&nbsp;José Dorado","doi":"10.1016/j.dib.2024.111203","DOIUrl":"10.1016/j.dib.2024.111203","url":null,"abstract":"<div><div>Identifying weed species at early-growth stages is critical for precision agriculture. Accurate classification at the species-level enables targeted control measures, significantly reducing pesticide use. This paper presents a dataset of RGB images captured with a Sony ILCE-6300L camera mounted on an unmanned aerial vehicle (UAV) flying at an altitude of 11 m above ground level. The dataset covers various agricultural fields in Spain, focusing on two summer crops: maize and tomato. It is designed to enhance early-season weed classification accuracy by including images from two phenological stages. Specifically, the dataset contains 31,002 labeled images from the early-growth stage—maize with four unfolded leaves (BBCH14) and tomato with the first flower bud visible (BBCH501)—as well as 36,556 images from a more advanced-growth stage—maize with seven unfolded leaves (BBCH17) and tomato with the ninth flower bud visible (BBCH509). In maize, the weed species include <em>Atriplex patula, Chenopodium album, Convolvulus arvensis, Datura ferox, Lolium rigidum, Salsola kali</em> and <em>Sorghum halepense</em>. In tomato, the weed species include <em>Cyperus rotundus, Portulaca oleracea</em> and <em>Solanum nigrum</em>. The images, stored in JPG format, were labeled in orthomosaic partitions, with each image corresponding to a specific plant species. This dataset is ideally suited for developing advanced deep learning models, such as CNNs and ViTs, for early classification of weed species in maize and tomato crops using UAV imagery. By providing this dataset, we aim to advance UAV-based weed detection and mapping technologies, contributing to precision agriculture with more efficient, accurate tools that promote sustainable and profitable farming practices.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"58 ","pages":"Article 111203"},"PeriodicalIF":1.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11719326/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142969975","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}