Data in Brief最新文献_第4页

Data on the effects of a vertical agrivoltaic system on crop yield and nutrient content of barley (Hordeum vulgare L.) in Sweden 垂直农业光伏系统对瑞典大麦（Hordeum vulgare L.）作物产量和养分含量的影响数据

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief

Pub Date : 2024-10-09 DOI: 10.1016/j.dib.2024.110990

S. Ma Lu , S. Zainali , T.E.K. Zidane , T. Hörndahl , S. Tekie , A. Khosravi , M. Guezgouz , B. Stridh , A. Avelin , P.E. Campana

Agrivoltaic systems emerge as a promising solution to the ongoing conflict between allocating agricultural land for food production and establishing solar parks. This field experiment, conducted during the spring and summer seasons of 2023, aims to showcase barley production in a vertical agrivoltaic system compared to open-field reference conditions at Kärrbo Prästgård, near Västerås, Sweden. The dataset presented in this article encompasses both barley kernel and straw yields, kernel crude protein levels, starch content in kernels and thousand kernel weight. All collected data underwent analysis of variance (ANOVA) with Tukey pairwise comparison when possible, using dedicated software RStudio 4.3.2. This dataset article illustrates the effects of the vertical agrivoltaic design system on barley productivity. Interested researchers can benefit from this data to better comprehend barley yield under this specific agrivoltaic design and conduct further analyses and comparisons with yields from different locations or design configurations. The experimental data holds the potential to foster collaborations and advance research in agrivoltaic systems, providing a valuable resource for anyone interested in the subject. It was observed that the mean barley yield in all the different areas of the vertical agrivoltaic system were higher than the one in the control area. Additionally, weather and solar irradiance data collected during the growing season are provided in the repository for further usage.

农业光伏系统是解决目前农业用地用于粮食生产和建立太阳能园区之间矛盾的一个很有前景的方案。这项田间试验于 2023 年春夏两季进行，旨在展示垂直农业光伏系统与瑞典韦斯特罗斯附近 Kärrbo Prästgård 的露地参考条件相比的大麦产量。本文介绍的数据集包括大麦仁和秸秆产量、麦仁粗蛋白含量、麦仁淀粉含量和千粒重。所有收集到的数据都使用专用软件 RStudio 4.3.2 进行了方差分析（ANOVA），并在可能的情况下进行了 Tukey 配对比较。这篇数据集文章说明了垂直农业光伏设计系统对大麦生产率的影响。有兴趣的研究人员可以从这些数据中获益，更好地理解这种特定农业光伏设计下的大麦产量，并与不同地点或设计配置下的产量进行进一步的分析和比较。这些实验数据具有促进合作和推动农业光伏系统研究的潜力，为对该主题感兴趣的人提供了宝贵的资源。据观察，垂直农业光伏系统所有不同区域的大麦平均产量均高于对照区域。此外，储存库中还提供了生长季节收集的天气和太阳辐照度数据，以供进一步使用。

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引用次数: 0

Transport starter data kit: Historical passenger and freight transport data for selected countries in Africa, Asia, and South America 运输启动数据包：非洲、亚洲和南美洲部分国家的客运和货运历史数据

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief

Pub Date : 2024-10-09 DOI: 10.1016/j.dib.2024.110984

Naomi Tan , Robert Ambunda , Nikola Medimorec , Angel Cortez , Agustina Krapp , Erin Maxwell , John Harrison , Mark Howells

The demand for data-driven models to inform sustainable transportation planning has become more important as countries address the complexities of urban mobility. However, data collection and curation are time-consuming and can be challenging due to data inaccessibility and inaccuracy. The Transport Starter Data Kit therefore aims to address these challenges, offering a one-stop-shop for transport modelling-related data. The Kit contains historical annual data (1990–2021) on passenger and freight activity, energy intensities, load factors, and vehicle stock, segregated by mode and fuel where available. Additionally, population and GDP data, which influence transport activity, are included. The value of the dataset lies not only in the range of variables it offers but also in the compilation from multiple authoritative sources, providing researchers, consultants, and policymakers interested in data-based transport modelling with a foundational base for their model development. By adopting, adapting, and applying the data, clear policies may be developed which can underpin the necessary finances for sustainable transport development.

随着各国应对城市交通的复杂性，对数据驱动模型的需求变得越来越重要，以便为可持续交通规划提供信息。然而，数据的收集和整理非常耗时，而且由于数据的不可取性和不准确性，数据收集和整理工作可能具有挑战性。因此，交通起步数据工具包旨在应对这些挑战，为交通建模相关数据提供一站式服务。该工具包包含客运和货运活动、能源强度、负载率和车辆保有量等方面的年度历史数据（1990-2021 年），可按模式和燃料分列。此外，还包括影响运输活动的人口和 GDP 数据。该数据集的价值不仅在于其提供的变量范围，还在于其从多个权威来源汇编而成，为对基于数据的交通建模感兴趣的研究人员、顾问和决策者提供了开发模型的基础。通过采用、调整和应用这些数据，可以制定明确的政策，为可持续交通发展提供必要的资金支持。

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引用次数: 0

A dataset of egocentric and exocentric view hands in interactive senses 交互式感官中的 "自中心 "和 "外中心 "视图手数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief

Pub Date : 2024-10-09 DOI: 10.1016/j.dib.2024.111003

Cui Cui , Mohd Shahrizal Sunar , Goh Eg Su

The dataset presents raw data on the egocentric (first-person view) and exocentric (third-person view) perspectives, including 47166 frame images. Egocentric and exocentric frame images are recorded from original iPhone videos simultaneously. The egocentric view captures the details of proximity hand gestures and attentiveness of the iPhone wearer, while the exocentric view captures the hand gestures in the top-down view of all participants. The data provides frame images of two, three, and four people engaged in interactive games such as Poker, Checkers, and Dice. Furthermore, the data was collected in the real environment under natural, white, yellow, and dim light conditions. The dataset contains diverse hand gestures, including remarkable instances such as motion blur, extremely deformed, sharp shadows, and extremely dim light. Moreover, researchers working on artificial intelligence (AI) interaction games in extended reality can create sub-datasets from the metadata for one or both perspectives in the egocentric or exocentric views, facilitating the AI understanding of hand gestures in human interactive games. Furthermore, researchers can extract hand gestures considered relevant studies for hand-object interaction, such as hands deformed by holding a chess piece, blurred hand gripping containers at Dice, and hands obscured by playing cards. Researchers can annotate rectangular boxes, and hand edges for semi-supervised and supervised hand detection, hand segmentation, and hand classification to improve the ability of the AI to distinguish between each player's hand gestures. Unsupervised, self-supervised research can also be done directly using this dataset.

数据集提供了以自我为中心（第一人称视角）和以外部为中心（第三人称视角）视角的原始数据，包括 47166 帧图像。自中心视角和外中心视角的帧图像是同时从 iPhone 原始视频中录制的。自中心视角捕捉了 iPhone 佩戴者的近距离手势细节和注意力，而外中心视角则捕捉了所有参与者自上而下视角中的手势。数据提供了两人、三人和四人参与扑克、跳棋和骰子等互动游戏的帧图像。此外，数据是在自然光、白光、黄光和暗光条件下的真实环境中收集的。该数据集包含多种手势，其中包括运动模糊、极度变形、锐利阴影和光线极暗等显著情况。此外，研究扩展现实中的人工智能（AI）交互游戏的人员可以从元数据中为自中心视图或外中心视图中的一个或两个视角创建子数据集，从而促进人工智能对人类交互游戏中手势的理解。此外，研究人员还可以提取被认为与手-物互动研究相关的手势，如握住棋子而变形的手、在骰子游戏中握住容器的模糊手以及被扑克牌遮挡的手。研究人员可以为矩形框和手部边缘添加注释，以便进行半监督和监督手部检测、手部分割和手部分类，从而提高人工智能区分每位玩家手势的能力。也可以直接使用该数据集进行无监督、自监督研究。

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引用次数: 0

A comprehensive annotated image dataset for real-time fish detection in pond settings 用于池塘实时鱼类检测的综合注释图像数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief

Pub Date : 2024-10-09 DOI: 10.1016/j.dib.2024.111007

Vijayalakshmi M , Sasithradevi A

Fish is a vital food source, providing essential nutrients and playing a crucial role in global food security. In Tamil Nadu, fish is particularly important, contributing significantly to the local diet, economy, and livelihoods of numerous fishing communities along its extensive coastline. Our objective is to develop an efficient fish detection system in pond environments to contribute to small-scale industries by facilitating fish classification, growth monitoring, and other essential aquaculture practices through a non-invasive approach. This dataset comprises of Orange Chromide fish species (Etroplus maculatus) captured under several computer vision challenges, including occlusion, turbid water conditions, high fish density per frame, and varying lighting conditions. We present annotated images derived from underwater video recordings in Retteri Pond, Kolathur, Chennai, Tamil Nadu (GPS coordinates: Lat 13.132725, Long 80.212555). The footage was captured using an underwater camera without artificial lighting, at depths less than 4 m to maintain naturalness in underwater images. The recorded videos were converted to 2D images, which were manually annotated using the Roboflow tool. This carefully annotated dataset, offers a valuable resource for aquaculture engineers, marine biologists, and experts in computer vision, and deep learning, aiding in the creation of automated detection tools for underwater imagery.

鱼类是重要的食物来源，可提供必需的营养物质，在全球粮食安全方面发挥着至关重要的作用。在泰米尔纳德邦，鱼类尤为重要，对当地的饮食、经济以及沿其广阔海岸线的众多渔业社区的生计做出了重大贡献。我们的目标是在池塘环境中开发一种高效的鱼类检测系统，通过非侵入式方法促进鱼类分类、生长监测和其他必要的水产养殖实践，从而为小型工业做出贡献。该数据集包括在多种计算机视觉挑战下捕获的橙色虹彩鱼种（Etroplus maculatus），这些挑战包括遮挡、浑浊的水质条件、每帧高密度的鱼类以及不同的光照条件。我们展示的注释图像来自泰米尔纳德邦金奈市科拉图尔的 Retteri 池塘的水下视频记录（GPS 坐标：纬度 13.132725，经度 80.212555）。为了保持水下图像的自然度，我们使用水下摄像机在水深小于 4 米的地方拍摄了没有人工照明的视频。录制的视频被转换成二维图像，并使用 Roboflow 工具对其进行人工标注。这个经过仔细标注的数据集为水产养殖工程师、海洋生物学家、计算机视觉和深度学习专家提供了宝贵的资源，有助于为水下图像创建自动检测工具。

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引用次数: 0

Motion artifact contaminated multichannel EEG dataset 运动伪影污染多通道脑电图数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief

Pub Date : 2024-10-05 DOI: 10.1016/j.dib.2024.110994

Sheikh Farhana Binte Ahmed , Md. Ruhul Amin , Md. Kafiul Islam

Wearable EEG suffers from motion artifact contamination due to the subject's movement in an ambulatory environment. Signal processing techniques pose promising solutions for the detection and removal of motion artifacts from ambulatory EEG, but relevant open-access datasets are not available, which is detrimental to the development of wearable EEG applications. This article showcases open-access electroencephalography (EEG) recordings, while a subject is performing different upper-body, lower-body, and full-body movements. One healthy male subject volunteered to record his EEG data using a 14-channel EMOTIV EPOCH EEG headset device. This device's electrode placement is in accordance with the international 10–20 system, and the data was stored using the EMOTIV Pro application. We used the MATLAB software to visualize the captured brain waveforms. The venue of the data collection was the Biomedical Instrumentation and Signal Processing Laboratory (BISPL) at the Independent University, Bangladesh (IUB). The EMOTIV Pro application extracted the recorded EEG data in the CSV file format, while the MATLAB software converted it to a .mat extension file afterward. The first 14 columns of this file represent the 14-channel EEG data, and the subsequent nine columns are for the motion sensor data. The list of recorded movements includes blinking of eyes, eyebrow movement, and also horizontal and vertical eye movements. Afterward, the head shook and nodded. Later, the leg trembled, followed by listening to music, talking, walking, and standing and sitting down. Before the recording ended, the subject relaxed on a chair with both eyes open and closed. This dataset is one of its kind, allowing us to explore further research for wearable EEG while denoising motion artifacts arising from subject movement.

可穿戴脑电图因受试者在非卧床环境中的移动而受到运动伪影污染。信号处理技术为检测和去除动态脑电图中的运动伪影提供了前景广阔的解决方案，但相关的开放存取数据集却不可用，这不利于可穿戴脑电图应用的开发。本文展示了开放存取的脑电图（EEG）记录，当时受试者正在进行不同的上半身、下半身和全身运动。一名健康男性受试者自愿使用 14 通道 EMOTIV EPOCH 脑电图耳机设备记录脑电图数据。该设备的电极位置符合国际 10-20 系统，数据使用 EMOTIV Pro 应用程序存储。我们使用 MATLAB 软件对采集到的脑电波图进行可视化处理。数据采集地点是孟加拉国独立大学（IUB）的生物医学仪器和信号处理实验室（BISPL）。EMOTIV Pro 应用程序以 CSV 文件格式提取记录的脑电图数据，然后用 MATLAB 软件将其转换为 .mat 扩展名文件。该文件的前 14 列代表 14 个通道的脑电图数据，随后的 9 列为运动传感器数据。记录的动作列表包括眨眼、眉毛运动以及眼球的水平和垂直运动。随后，头部摇晃并点头。随后，腿部开始颤抖，接着是听音乐、说话、走路、站立和坐下。记录结束前，受试者在椅子上放松，双眼睁开或闭合。该数据集是同类数据集中的一个，使我们能够在对受试者运动产生的运动伪影进行去噪的同时，探索可穿戴脑电图的进一步研究。

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引用次数: 0

A dataset of color fundus images for the detection and classification of eye diseases 用于检测和分类眼疾的彩色眼底图像数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief

Pub Date : 2024-10-04 DOI: 10.1016/j.dib.2024.110979

Shayla Sharmin , Mohammad Riadur Rashid , Tania Khatun , Md Zahid Hasan , Mohammad Shorif Uddin , Marzia

The retina is a critical component of the eye responsible for capturing visual information, making the importance of retinal health for clear vision. Various eye diseases, such as age-related macular degeneration, diabetic retinopathy, and glaucoma, can severely impair vision and even lead to blindness if not detected and treated early. Therefore, automated systems using machine learning and computer vision techniques have shown promise in the early detection and management of these diseases, reducing the risk of vision loss. In this context, to facilitate the development and evaluation of machine learning models for eye disease detection, we introduced a comprehensive dataset which was collected during a span of eight months from Anawara Hamida Eye Hospital & B.N.S.B. Zahurul Haque Eye Hospital using Color Fundus Photography machine. The dataset has two categories of data: color fundus photographs and anterior segment images. The color fundus photographs categorized into nine classes: Diabetic Retinopathy, Glaucoma, Macular Scar, Optic Disc Edema, Central Serous Chorioretinopathy (CSCR), Retinal Detachment, Retinitis Pigmentosa, Myopia, Healthy and anterior segment images has one class: Pterygium. This dataset comprises 5335 primary images. By providing a rich and diverse collection of color fundus photographs, this dataset serves as a valuable resource for researchers and clinicians in the field of ophthalmology for the automatic detection of nine different classes of eye diseases.

视网膜是眼睛的重要组成部分，负责捕捉视觉信息，因此视网膜健康对清晰视力至关重要。各种眼部疾病，如老年性黄斑变性、糖尿病视网膜病变和青光眼，如果不及早发现和治疗，会严重损害视力，甚至导致失明。因此，采用机器学习和计算机视觉技术的自动化系统在早期检测和管理这些疾病、降低视力丧失风险方面大有可为。在此背景下，为了促进眼科疾病检测机器学习模型的开发和评估，我们引入了一个综合数据集，该数据集是在八个月的时间里从 Anawara Hamida 眼科医院& B.N.S.B. Zahurul Haque 眼科医院使用彩色眼底摄影机收集的。数据集包括两类数据：彩色眼底照片和前段图像。彩色眼底照片分为九类：糖尿病视网膜病变、青光眼、黄斑疤痕、视盘水肿、中心性浆液性脉络膜视网膜病变（CSCR）、视网膜脱离、视网膜色素变性、近视、健康，前段图像分为一类：翼状胬肉该数据集包含 5335 张原始图像。该数据集提供了丰富多样的彩色眼底照片，为眼科领域的研究人员和临床医生自动检测九类不同的眼部疾病提供了宝贵的资源。

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引用次数: 0

Kurdish social media sentiment corpus: Misyar marriage perspectives 库尔德社交媒体情感语料库：Misyar 婚姻观点

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief

Pub Date : 2024-10-03 DOI: 10.1016/j.dib.2024.110989

Sarkhel H. Taher Karim

This article presents a thorough compilation of 5108 Central Kurdish comments taken from YouTube and Facebook. The purpose of compiling the dataset was to investigate public perceptions of Misyar marriage, a non-traditional form of marriage, in the Kurdistan region. The goal of the 135-day data collection period was to gather comments from specific public pages on these social media platforms. there are two columns in the dataset: sentiments and comments. The sentiments column classifies each comment into one of eight sentiment labels: Positive, Negative, Neutral, Sarcastic or Humorous, Suggestive, Dismissive, Skeptical, and Curious. The comments column contains the text of the comments in Central Kurdish. To improve the quality and uniformity of the data, a great deal of preprocessing was done to address problems like noise removal, character replacement, and space adjustments.

Researchers interested in sentiment analysis, social media studies, Islamic studies, and Kurdish cultural practices will find the dataset to be a useful resource. It can be used for sentiment analysis, trend analysis, linguistic studies, and other analyses. It provides insights into the public discourse surrounding Misyar marriage. The labeled data can aid in the creation of machine learning models and further our knowledge of societal perceptions of emerging religious trends.

本文全面汇编了 5108 条来自 YouTube 和 Facebook 的库尔德中部评论。汇编该数据集的目的是调查库尔德斯坦地区公众对 Misyar 婚姻（一种非传统形式的婚姻）的看法。135 天数据收集期的目标是从这些社交媒体平台的特定公共页面上收集评论。数据集中有两列：情感和评论。情绪列将每条评论分为八种情绪标签之一：积极、消极、中性、讽刺或幽默、暗示、轻蔑、怀疑和好奇。评论栏包含中库尔德语的评论文本。为了提高数据的质量和统一性，对数据进行了大量预处理，以解决噪音去除、字符替换和空间调整等问题。对情感分析、社交媒体研究、伊斯兰研究和库尔德文化习俗感兴趣的研究人员会发现该数据集是一个有用的资源。它可用于情感分析、趋势分析、语言研究和其他分析。它提供了对围绕 Misyar 婚姻的公共讨论的见解。标注的数据有助于创建机器学习模型，进一步了解社会对新兴宗教趋势的看法。

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引用次数: 0

Exploring reddit forum for software evolution as an alternative requirements source: An end-user discussion dataset on Google maps 探索作为替代需求来源的软件进化 Reddit 论坛：谷歌地图终端用户讨论数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief

Pub Date : 2024-10-03 DOI: 10.1016/j.dib.2024.110993

Javed Ali Khan , Nek Dil Khan , Muhammad Yaqoob , Affan Yasin , Ayed Alwadain

For software development and evolution, end-user feedback from app stores and the Twitter (X) platform has been intensively used recently. However, Reddit forums that provide an argumentative platform to argue and reason about various software features and issues have been less likely to be explored for software evolution and improvement in the literature. Therefore, this study explores Reddit forums as an alternative source for software evolution compared to App Stores, Twitter (X), and Amazon reviews. For this purpose, a Python script is developed to extract end-user discussions related to the Google Maps (GM) app from Reddit forums using Python Praw API, keep the original argumentative structure in user discussions. In total, 3119 end-user discussions from seven related topics about the GMM app are extracted for software evolution. This dataset includes detailed end-user feedback and associated metadata, including Comments ID, Parent ID, author names, timestamps, and upvotes. This dataset is a crucial and valuable resource for software vendors, developers, researchers, and educationists to improve their understanding of identifying new features to include in upcoming app versions. Also, it is of pivotal importance in better understanding recently occurring issues, unlike app stores where user debate on it and provide their justifications. Moreover, the replication package and process of the dataset can enable software researchers, vendors, and developers to extract data from the Reddit forum and use it for the software evolution and improvement process.

在软件开发和进化方面，来自应用程序商店和 Twitter (X) 平台的最终用户反馈最近得到了广泛应用。然而，Reddit 论坛为各种软件功能和问题提供了一个争论和推理的平台，在文献中较少被用于软件进化和改进。因此，与应用商店、Twitter (X) 和亚马逊评论相比，本研究将探索 Reddit 论坛作为软件进化的另一种来源。为此，我们开发了一个 Python 脚本，利用 Python Praw API 从 Reddit 论坛中提取与谷歌地图（GM）应用程序相关的最终用户讨论，并保留用户讨论中的原始论证结构。总共从七个与谷歌地图应用程序相关的主题中提取了 3119 条最终用户讨论，用于软件进化。该数据集包含详细的最终用户反馈和相关元数据，包括评论 ID、父 ID、作者姓名、时间戳和向上投票。对于软件供应商、开发人员、研究人员和教育工作者来说，该数据集是至关重要的宝贵资源，可帮助他们更好地了解如何在即将推出的应用程序版本中加入新功能。此外，它对于更好地了解最近发生的问题也具有关键意义，而不像应用商店那样由用户进行讨论并提供理由。此外，数据集的复制包和复制过程可使软件研究人员、供应商和开发人员从 Reddit 论坛中提取数据，并将其用于软件进化和改进过程。

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引用次数: 0

Dataset of DDoS attacks on Fibaro home center 3 for smart home security 用于智能家居安全的 Fibaro home center 3 的 DDoS 攻击数据集

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief

Pub Date : 2024-10-03 DOI: 10.1016/j.dib.2024.110991

Ladislav Huraj, Marek Šimon, Jakub Lietava

DDoS attacks pose a significant security risk to smart homes and can disrupt the functionality and availability of connected devices in the home. This dataset documents Distributed Denial of Service (DDoS) attacks against the Fibaro Home Center 3 central control unit, which is used to automate smart homes within the Internet of Things. The focus is on three types of DDoS attacks: TCP SYN flood, ICMP flood and HTTP flood. Data collection was performed on the local network, where SYN flood and ICMP flood attacks were performed using the hping3 tool, and HTTP flood attack was performed using the LOIC tool. The data was captured using Wireshark software and is available in PCAP and CSV formats, allowing detailed analysis of the network traffic. The logs include information such as timestamps, source and destination IP addresses, protocols, packet lengths, and port numbers. The dataset includes raw and anonymized data for each type of attack.

The dataset is a resource for researchers focused on cybersecurity and IoT device protection. It allows simulation and analysis of DDoS attacks on a specific IoT device, providing insight into attack patterns and the effectiveness of defenses. The simplicity and specialization of the dataset makes it a practical resource for developing and testing intrusion detection systems and predictive models to mitigate and prevent DDoS attacks. The use of the PCAP format facilitates the import of the data into various research software platforms.

分布式拒绝服务（DDoS）攻击对智能家居构成重大安全风险，可能会破坏家庭中联网设备的功能和可用性。本数据集记录了针对 Fibaro Home Center 3 中央控制装置的分布式拒绝服务 (DDoS) 攻击，该装置用于在物联网内实现智能家居自动化。重点是三种类型的 DDoS 攻击：TCP SYN flood、ICMP flood 和 HTTP flood。数据收集在本地网络上进行，其中 SYN flood 和 ICMP flood 攻击使用 hping3 工具执行，HTTP flood 攻击使用 LOIC 工具执行。数据使用 Wireshark 软件捕获，并以 PCAP 和 CSV 格式提供，以便对网络流量进行详细分析。日志包括时间戳、源和目标 IP 地址、协议、数据包长度和端口号等信息。该数据集包括每种攻击类型的原始数据和匿名数据。该数据集为专注于网络安全和物联网设备保护的研究人员提供了资源。通过该数据集，可以模拟和分析针对特定物联网设备的 DDoS 攻击，深入了解攻击模式和防御效果。数据集的简单性和专业性使其成为开发和测试入侵检测系统和预测模型的实用资源，以缓解和预防 DDoS 攻击。PCAP 格式的使用便于将数据导入各种研究软件平台。

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引用次数: 0

Exploring ddRAD sequencing data of tomato genotypes evaluated for the heat stress tolerance 探索番茄耐热胁迫基因型的 ddRAD 测序数据

IF 1 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief

Pub Date : 2024-10-01 DOI: 10.1016/j.dib.2024.110982

Salvatore Graci, Amalia Barone

Climate change is a major concern for agricultural crops, and the selection of tolerant genotypes in response to abiotic stresses represents an important breeding strategy to reduce yield losses. In addition, the continuous development of new and more accurate high-throughput technologies for the analysis of DNA sequences is the key to improve biological understanding and application of biological knowledge. In the present work, 27 tomato genotypes already evaluated for their response under high temperature conditions were sequenced by using the ddRAD sequencing technology. The main goal was to provide genomic data useful for identifying candidate genes and variants to cope with current climate changes. Total genomic DNA was extracted from leaves and sequenced on the HiSeq2500 Illumina instrument. Raw reads of the dataset were processed using different bioinformatics tools to generate a Variant Calling Format (VCF) file. The availability of resources reporting polymorphisms among genomes of different genotypes provides a useful basis for studying tomato tolerance to current climate changes and can be used by researchers and breeders to investigate the molecular response mechanisms and develop new breeding programs, also aided by Marked Assisted Selection (MAS). The raw reads were deposited into SRA database (https://www.ncbi.nlm.nih.gov/sra/PRJNA1137563).

气候变化是农作物面临的一个主要问题，选择耐受非生物胁迫的基因型是减少产量损失的重要育种策略。此外，不断开发新的、更准确的高通量 DNA 序列分析技术是提高生物认识和生物知识应用的关键。在本研究中，利用 ddRAD 测序技术对已评估过的 27 个番茄基因型在高温条件下的反应进行了测序。主要目的是提供基因组数据，以确定应对当前气候变化的候选基因和变体。从叶片中提取总基因组DNA，并在HiSeq2500 Illumina仪器上进行测序。使用不同的生物信息学工具处理数据集的原始读数，生成变异调用格式（VCF）文件。报告不同基因型基因组间多态性的资源为研究番茄对当前气候变化的耐受性提供了有用的基础，研究人员和育种人员可利用这些资源研究分子响应机制，并开发新的育种计划，标记辅助选择（MAS）也可起到辅助作用。原始读数已存入 SRA 数据库 (https://www.ncbi.nlm.nih.gov/sra/PRJNA1137563)。

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引用次数: 0