Comprehensive Toughness Dataset of Nuclear Reactor Structural Materials using Charpy V-Notch Impact Testing by Isshu Lee, John W. Merickel, Yugandhar Kasala Sreenivasulu, Fei Xu, Yalei Tang, Joshua E. Rittenhouse, Aleksandar Vakanski, Rongjie Song

“…The primary objective of the dataset is to advance the understanding of specimen size effect in Charpy impact testing, and support studies for validating existing methods and developing data-driven approaches for test results correlation.…”
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fruit-SALAD: A Style Aligned Artwork Dataset to reveal similarity perception in image embeddings by Tillmann Ohm, Andres Karjus, Mikhail V. Tamm, Maximilian Schich

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Human voices communicating trustworthy intent: A demographically diverse speech audio dataset by Constantina Maltezou-Papastylianou, Reinhold Scherer, Silke Paulmann

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Chromosome-level genome and annotation of the tetraploid Rhodiola kirilowii by Jianbo Zhang, Wenji Zhao, Xiaohui Tang, Guofu Jia, Daxu Li, Chongjing Xia, Shiqie Bai

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MMDental - A multimodal dataset of tooth CBCT images with expert medical records by Chengkai Wang, Yifan Zhang, Chengyu Wu, Jun Liu, Xingliang Huang, Liuxi Wu, Yitong Wang, Xiang Feng, Yiting Lu, Yaqi Wang

“…Existing public datasets are primarily composed of single-modal data, predominantly dental radiographs or scans, which limits the development of AI-driven applications for intelligent dental treatment. …”
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COph100: A comprehensive fundus image registration dataset from infants constituting the “RIDIRP” database by Yan Hu, Mingdao Gong, Zhongxi Qiu, Jiabao Liu, Hongli Shen, Mingzhen Yuan, Xiaoqing Zhang, Heng Li, Hai Lu, Jiang Liu

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Snow melt-out date (SMOD) change spanning four decades in European temperate mountains at 30 m from Landsat time series by Arthur Bayle, Simon Gascoin, Christophe Corona, Markus Stoffel, Philippe Choler

“…The SMOD dataset was validated using snow depth station records (R2 ~ 0.75, MAE ~ 7 days) and soil temperature data (R2 ~ 0.7, MAE ~ 10 days) from the Pyrenees and European Alps. …”
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Spectral dataset of natural objects’ reflectance from the Southern cone of South America by Agustín Gutiérrez, Bárbara Silva, José M. Fanchini, Takuma Morimoto, Pablo A. Barrionuevo, María L. Sandoval-Salinas

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Forty-year hydropower generation reanalysis for Conterminous United States by Sean W. D. Turner, Debjani Singh, Carly Hansen, Shih-Chieh Kao

“…The new hydrological control dataset is suited to applications seeking to represent the capabilities of the contemporary fleet subject to historical interannual variability in climate. …”
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A database of life history parameters for Pacific coral reef fish by Anela K. Akiona, Brian J. Zgliczynski, Marisa M. Agarwal, Beverly J. French, Nathaniel Hanna Holloway, Katie A. Lubarsky, McClaran E. Shirley, Christopher J. Sullivan, Stuart A. Sandin

“…The species included are commonly observed in visual censuses of shallow (10 m depth) forereef habitats of the central Pacific. These data were collated from the literature, and were selected based on study sample size, representation of the species’ total length range, and data confidence. …”
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Diff5T: Benchmarking human brain diffusion MRI with an extensive 5.0 Tesla k-space and spatial dataset by Shanshan Wang, Shoujun Yu, Jian Cheng, Sen Jia, Changjun Tie, Jiayu Zhu, Haohao Peng, Yijing Dong, Jianzhong He, Fan Zhang, Yaowen Xing, Xiuqin Jia, Qi Yang, Qiyuan Tian, Hua Guo, Guobin Li, Hairong Zheng

“…This dataset includes raw k-space data and reconstructed diffusion images, acquired using a variety of imaging protocols. …”
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AcuSim: A Synthetic Dataset for Cervicocranial Acupuncture Points Localisation by Qilei Sun, Jiatao Ma, Paul Craig, Linjun Dai, Eng Gee Lim

“…The study validates a convolutional neural network (CNN) on the proposed dataset with an accuracy of 99.73% and shows that 92.86% of predictions in validation set align within a 5mm threshold of margin error when compared to expert-annotated data. This dataset addresses the limitations of prior datasets and can be applied to applications of acupoint detection and visualization, further advancing automation in Traditional Chinese Medicine (TCM).…”
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A dataset for evaluating clinical research claims in large language models by Boya Zhang, Alban Bornet, Anthony Yazdani, Philipp Khlebnikov, Marija Milutinovic, Hossein Rouhizadeh, Poorya Amini, Douglas Teodoro

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An updated reference genome of Barbatula barbatula (Linnaeus, 1758) by Levente Laczkó, Nikoletta Andrea Nagy, Ágnes Nagy, Ágnes Maroda, Péter Sály

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A lower-back focused motion capture and electromyography dataset of Australian sheep shearers at work by Mark Robinson, Tomislav Baček, Ying Tan, Denny Oetomo, Chris Manzie

“…Despite this prevalence, evidence on the time-dependent changes in muscular function and corresponding motor control systems that contribute to pain remains limited, largely due to the lack of experimental data collected in real-world environments over extended periods. …”
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A powerful lens for temporal network analysis: temporal motifs by Ahmet Erdem Sarıyüce

“…We then explore a multitude of temporal network mining applications that have effectively employed temporal motifs, spanning from financial network analysis to temporal graph generation. …”
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EMG Dataset for Gesture Recognition with Arm Translation by Iris Kyranou, Katarzyna Szymaniak, Kianoush Nazarpour

“…Additionally, to expand the publicly available data capturing the variability of EMG signals across diverse arm positions, we propose a novel data acquisition protocol that can be utilized for future data collection.…”
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The uneven deployment of algorithms as tools in government: evidence from the use of an expert system by Andrew B. Whitford, Anna M. Whitford

“…This empirical case and this theory of innovation provide broad evidence about the historical utilization of expert systems as algorithms in public sector applications.…”
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QeMFi: A Multifidelity Dataset of Quantum Chemical Properties of Diverse Molecules by Vivin Vinod, Peter Zaspel

“…Multifidelity ML (MFML) methods, where models are trained on data from more than one fidelity, have shown to be effective over single fidelity methods. …”
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A high-resolution database of historical and future climate for Africa developed with deep neural networks by Sarah A. Namiiro, Andreas Hamann, Tongli Wang, Dante Castellanos-Acuña, Colin R. Mahony

“…Abstract This study contributes an accessible, comprehensive database of interpolated climate data for Africa that includes monthly, annual, decadal, and 30-year normal climate data for the last 120 years (1901 to present) as well as multi-model CMIP6 climate change projections for the 21st century. …”
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