Crypto-asset trading on top of Ethereum Blockchain comprehensive dataset by Shahar Somin, Yaniv Altshuler, Alex Pentland

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Constructing the commuting backbone network dataset for the United States by Jinpeng Wang, Yujie Hu

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A MALDI-ToF mass spectrometry database for identification and classification of highly pathogenic bacteria by Peter Lasch, Wolfgang Beyer, Alejandra Bosch, Rainer Borriss, Michal Drevinek, Susann Dupke, Monika Ehling-Schulz, Xuewen Gao, Roland Grunow, Daniela Jacob, Silke R. Klee, Armand Paauw, Jörg Rau, Andy Schneider, Holger C. Scholz, Maren Stämmler, Le Thi Thanh Tam, Herbert Tomaso, Guido Werner, Joerg Doellinger

“…We hope that our MALDI-ToF MS data may also be a valuable resource for developing machine learning-based bacterial identification and classification methods.…”
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A text dataset of fire door defects for pre-delivery inspections of apartments during the construction stageFigshare by Seunghyeon Wang, Sungkon Moon, Ikchul Eum, Dongjin Hwang, Jaejun Kim

“…Combining automated methods with textual data can facilitate the rapid identification and diagnosis of faults. …”
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IPD-Brain: An Indian histopathology dataset for glioma subtype classification by Ekansh Chauhan, Amit Sharma, Megha S. Uppin, Manasa Kondamadugu, C. V. Jawahar, P. K. Vinod

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Pockmarks of the Mediterranean region seas: A Comprehensive Geodatabase for Marine Geomorphological Analysis by Daniele Spatola, Marzia Rovere, Daniele Casalbore, Francesco Latino Chiocci

“…Through georeferencing over 7,516 pockmarks from the recent literature, we have built an active and systematic database with the aim of incorporating significant data on these seafloor morphologies. The database can have a number of applications: it can be used to assist submarine infrastructure planning (e.g. pipelines, offshore wind farms), ecological study (e.g. pockmarks are habitat for sensitive benthic communities), and natural resource appraisal (e.g. hydrocarbon reservoirs, gas hydrates, offshore groundwater). …”
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Energy consumption and IEQ monitoring in two university apartment buildings: Pre-retrofit dataset by Shayan Mirzabeigi, Sameeraa Soltanian-Zadeh, Bess Krietemeyer, Bing Dong, Jianshun “Jensen” Zhang

“…The metadata model of the building systems and sensors were created using the Brick schema. A data curation was applied to clean and organize the raw data as research-grade dataset. …”
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Joint variation and ZhuYin dataset for Traditional Chinese document enhancement by Shi-Wei Lo, Hsiu-Mei Chou, Jyh-Horng Wu

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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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