Extended IMD2020: a large‐scale annotated dataset tailored for detecting manipulated images by Adam Novozámský, Babak Mahdian, Stanislav Saic

“…Then, we collected a dataset of 35,000 real images captured by these cameras. …”
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A dataset of drip patterns for teaching and research purposes in forensic bloodstain pattern analysisBorealis by Shaijieni Kannan, Stanard M. Pachong, Peter R. Lewis, Theresa Stotesbury

“…We present a dataset of 635 drip patterns using whole blood generated in indoor and outdoor conditions. …”
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A platform noise dataset of various types of subway stations during all operating hours by Bowen Hou, Xingyu Chen, Qine Zeng, Jinhan Mo, Lang Wang, Kaiyue Hu, Jiangbin Li, Wenqiang Zhao

“…The collected results spanning the entire operation period were organized into hourly sets, encompassing information on noise sources such as vehicles entering and leaving the station, the opening and closing of train doors, and platform announcements. This dataset provides original data on noise sources at subway platforms throughout the all-day train operation period, aiding researchers in understanding the sources and levels of noise at subway station platforms. …”
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Long-term reconstructed vegetation index dataset in China from fused MODIS and Landsat data by Xiangqian Li, Qiongyan Peng, Ruoque Shen, Wenfang Xu, Zhangcai Qin, Shangrong Lin, Si Ha, Dongdong Kong, Wenping Yuan

“…However, existing vegetation index datasets face limitations in achieving both high spatial and temporal resolution, restricting their application potential. …”
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Reach&Grasp: a multimodal dataset of the whole upper-limb during simple and complex movements by Dario Di Domenico, Inna Forsiuk, Simon Müller-Cleve, Simone Tanzarella, Florencia Garro, Andrea Marinelli, Michele Canepa, Matteo Laffranchi, Michela Chiappalone, Chiara Bartolozzi, Lorenzo De Michieli, Nicolò Boccardo, Marianna Semprini

“…While this is usually performed using electrophysiological and/or kinematic measurements only, the collection of tactile data during grasping movements could enrich the overall information about interaction with external environment. We provide a dataset collected from 10 healthy volunteers performing 16 tasks, including simple movements (i.e., hand opening/closing, wrist pronation/supination and flexion/extension, tridigital grasping, thumb abduction, cylindrical and spherical grasping) and more complex ones (i.e., reaching and grasping). …”
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UAlpha40: A comprehensive dataset of Urdu alphabet for Pakistan sign languageMendeley Data by Sameena Javaid, Shahood Sajid, Yusra Khan Baloch

“…This newly developed dataset can be utilized to train vision-based deep learning models, which in turn can aid in the development of sign language translators and finger-spelling systems for USL.…”
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Every little helps: exploring meat and animal product consumption in the Tesco 1.0 dataset by Rakefet Cohen Ben-Arye, Christopher Bryant, Katharina Hofmann

“…We also combined the Tesco 1.0 dataset with datasets from the London Datastore (a free and open data-sharing portal that provides over a thousand datasets to understand the city and develop solutions to its problems), and identified several demographic factors as predictors for the meat consumption. …”
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Multidimensional dataset for cognitive assessment, sMRI, and rsfMRI in common benign epileptic children by Hongzhou Chen, Mengyuan Li, Tian Li, Mai Chen, Chao Jiang, Yudian Tang, Qian Chen, Dazhi Cheng

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Drone imagery dataset for early-season weed classification in maize and tomato cropsDIGITAL.CSIC by Gustavo A. Mesías-Ruiz, José M. Peña, Ana I. de Castro, José Dorado

“…The dataset covers various agricultural fields in Spain, focusing on two summer crops: maize and tomato. …”
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A GDPR-compliant solution for analysis of large-scale genomics datasets on HPC cloud infrastructure by Silvia Gioiosa, Beatrice Chiavarini, Mattia D’Antonio, Giuseppe Trotta, Balasubramanian Chandramouli, Juan Mata Naranjo, Giuseppa Muscianisi, Mirko Cestari, Elisa Rossi

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Fault and Severity Diagnosis Using Deep Learning for Self-Organizing Networks With Imbalanced and Small Datasets by Hsin-Chang Tsai, Ming-Chun Lee, Chao-Hao Hsu

“…Developing effective self-organizing approaches often depends on data-driven or learning-based methods, which require well-structured and balanced datasets. However, in practical scenarios, datasets are often imbalanced or even very small. …”
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Towards Robust Evaluation of Aesthetic and Photographic Quality Metrics: Insights from a Comprehensive Dataset by Iria Santos, Miguel A. Casal, João Correia, Álvaro Torrente-Patiño, Penousal Machado, Juan Romero

“…This article presents a novel validation methodology utilizing a dataset assessed by individuals from two distinct nationalities: the United States and Spain. …”
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TOM500: A Multi-Organ Annotated Orbital MRI Dataset for Thyroid Eye Disease by Haiyang Zhang, Hoi Chi Chan, Jiashuo Xu, Mengda Jiang, Xiaofeng Tao, Huifang Zhou, Xuefei Song, Xianqun Fan

“…Abstract This study presents TOM500, a comprehensive multi-organ annotated orbital magnetic resonance imaging (MRI) dataset. It includes clinical data, T2-weighted MRI scans, and corresponding segmentations from 500 patients with thyroid eye disease (TED) during their initial visit. …”
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Dataset for developing deep learning models to assess crack width and self-healing progress in concrete by Jacek Jakubowski, Kamil Tomczak

“…Abstract The presented dataset comes from an experimental study on the autogenous self-healing of high-strength concrete and the development of deep learning metasensor for crack width assessment and self-healing evaluation. …”
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QUA-RC: the semi-synthetic dataset of multiple choice questions for assessing reading comprehension in Ukrainian by Mariia Zyrianova, Dmytro Kalpakchi

“… In this article we present the first dataset of multiple choice questions for assessing reading comprehension in Ukrainian. …”
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Dataset for comparative analysis of precision metagenomics and traditional methods in urinary tract infection diagnosticsNCBI by Rob E. Carpenter, Sadia Almas, Vaibhav K. Tamrakar, Rahul Sharma

“…This study presents a comprehensive dataset comparing three diagnostic methodologies—microbial culture, polymerase chain reaction (PCR), and precision metagenomics (precision metagenomics)—for the detection and classification of uropathogens in urine samples from patients with suspected urinary tract infections (UTIs). …”
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Synthetic augmentation of cancer cell line multi-omic datasets using unsupervised deep learning by Zhaoxiang Cai, Sofia Apolinário, Ana R. Baião, Clare Pacini, Miguel D. Sousa, Susana Vinga, Roger R. Reddel, Phillip J. Robinson, Mathew J. Garnett, Qing Zhong, Emanuel Gonçalves

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Dataset of video game-based assessments in digital culture courses at Indoamerica UniversityMendeley Data by Miguel Cobos

“…This dataset contains evaluation results from video game-based assessments administered to first-level university students across six different academic programs at Universidad Indoamérica from October 2022 to August 2024. …”
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RespiroDynamics: A Multifaceted Dataset for Enhanced Lung Health Assessment Using Deep Learning by Ahmed Sharshar, Muhammad Sharshar, Hosam Elhady, Ahmed Aboeitta, Youssef Nafea, Yasser Ashraf, Mohammad Yaqub, Mohsen Guizani

Subjects: “…Dataset…”
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A high-resolution three-year dataset supporting rooftop photovoltaics (PV) generation analytics by Zinan Lin, Qi Zhou, Zhe Wang, Ce Wang, Davis Boyd Bookhart, Marcus Leung-Shea

“…Abstract This paper presents an open-source dataset intended to enhance the analysis and optimization of photovoltaic (PV) power generation in urban environments, serving as a valuable resource for various applications in solar energy research and development. …”
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